INFOPARK

Technical Lead - Salesforce

ust-Have Skills:
7+ years of experience in software engineering, platform engineering, or technical solution delivery.
Proven experience in a Tech Lead, Technical Project Lead, or equivalent role.
Strong project management and cross-functional delivery experience.
Hands-on Salesforce experience, including platform capabilities, integrations, workflows, and enterprise use cases.
Experience building or enabling AI agents, assistant workflows, or intelligent automation solutions.
Familiarity with Claude, Agentforce, or comparable LLM and agent-building platforms.
Strong understanding of solution architecture, systems integration, APIs, and enterprise application design.
Excellent stakeholder communication, technical leadership, and problem-solving skills.

Nice-to-Have Skills:
Experience across Salesforce development, administration, or solution architecture.
Familiarity with prompt design, agent orchestration, grounding patterns, and AI workflow evaluation.
Experience leading Agile delivery across engineering and business teams.
Exposure to cloud platforms, data pipelines, analytics ecosystems, or workflow automation tooling.
Salesforce certifications or relevant AI/platform certifications.
Technical leadership.
Project management.
Salesforce platform.
Agentforce.
Claude.
AI agent building.
Solution architecture.
APIs and integrations.
Stakeholder management.
Delivery execution.

Description: Scope of Work:
This role leads technical delivery across cross-functional initiatives, guiding solution
design and helping teams build scalable, business-aligned systems that combine
enterprise workflow platforms with AI-driven capabilities. The Tech Lead brings strong
project management, Salesforce expertise, and hands-on experience building AI agents on
platforms such as Claude and Agentforce. The objective is to align technology execution
with business priorities while delivering well-architected, maintainable solutions.

Key Responsibilities:
Lead end-to-end technical delivery for projects spanning Salesforce, AI agent solutions, integrations, and enterprise workflows.
Partner with business stakeholders, product managers, architects, and engineering teams to define scope, solution approach, priorities, and implementation plans.
Design scalable technical solutions across Salesforce and related platforms, ensuring alignment with business requirements and long-term architecture goals.
Provide hands-on technical leadership for agent-building initiatives using Claude, Agentforce, and related AI tooling.
Guide the development of AI-enabled workflows, automation patterns, and user-facing agent experiences.
Drive project execution by managing dependencies, technical risks, delivery milestones, and cross-team coordination.
Review technical designs, code, configurations, and implementation approaches to
ensure quality and maintainability.
Mentor engineers and developers, support technical decision-making, and establish engineering best practices.
Collaborate with data, product, and business teams to prioritize high-value use cases and operationalize solutions effectively.
Ensure solutions meet standards for governance, security, reliability, and supportability

Software Engineer, Data and Java

Must-Have Skills:
4+ years of software engineering experience.
Strong Java development skills.
Experience working with data-oriented systems, ETL processes, or backend data services.
Understanding of APIs, databases, and distributed application design.
Strong analytical, debugging, and communication skills.
Ability to work effectively in collaborative Agile teams.
Able to ramp into existing systems and contribute quickly.
Strong delivery focus across application and data engineering work.
Comfortable in cross-functional engineering environments.
Experience with Spark, Kafka, or large-scale data platform tools.
Nice-to-Have Skills:
Familiarity with cloud platforms, CI/CD, and data pipeline operations.
Experience supporting high-volume enterprise systems.
Description: Scope of Work:
This contract Software Engineer combines strong data systems and Java development
experience to build backend and data-driven services. The role delivers scalable
processing, integrations, and enterprise applications.
Key Responsibilities:
Develop and maintain Java-based services and data processing components.
Build scalable solutions for data ingestion, transformation, and system integration.
Collaborate with engineering and business stakeholders to deliver technical solutions.
Support system design, implementation, testing, and production operations.
Improve the performance, reliability, and maintainability of backend and data services.
Troubleshoot defects and production issues across application and data layers.
Contribute to documentation, code reviews, and engineering best practices

Tulip MES Engineer

Digital Tulip MES Engineer
The Digital Tulip MES Engineer is a COE technical lead responsible for designing, deploying, and sustaining Tulip applications within a GMP-regulated pharmaceutical manufacturing environment. This role blends process engineering, low-code development, and compliance-focused digital transformation to improve batch execution, documentation accuracy, deviation reduction, and overall plant performance. The engineer partners with QA, Operations, IT/OT, Validation, and corporate digital teams to ensure Tulip solutions meet regulatory requirements while driving operational excellence.

Key Responsibilities
1. Tulip Application Development & Deployment
· Build and deploy GMP-compliant Tulip apps for:
o Electronic batch records (EBR) and batch execution steps
o In-process quality checks and sampling workflows
o Equipment setup, cleaning, and line clearance verification
o Material dispensing, weighing, and traceability
o Deviation capture, CAPA workflows, and audit trails
· Configure connectors to integrate Tulip with UNS, ERP, LIMS, historians, SCADA/PLC systems, and other validated platforms.
· Develop dashboards to provide real-time visibility into batch progress, quality metrics, and equipment performance.
2. Compliance, Validation & Documentation
· Ensure all Tulip applications comply with GMP, GAMP 5, 21 CFR Part 11, Annex 11, and data integrity (ALCOA+) principles.
· Create and maintain validation documentation (URS, FRS, IQ/OQ/PQ, risk assessments, change controls).
· Partner with QA and Validation teams to ensure audit readiness and proper lifecycle management of digital systems.
· Maintain secure, traceable, and compliant electronic records and audit trails.
3. Support, Sustainment & Continuous Improvement
· Provide day-to-day support for Tulip apps, connectors, and edge devices in a validated environment.
· Troubleshoot issues related to data integrity, device connectivity, and workflow logic.
· Monitor system performance, user adoption, and data quality; drive continuous improvement initiatives.
· Maintain version control, documentation, and change management in alignment with GMP expectations.
4. Workforce Training & Change Management
· Train operators, supervisors, QA personnel, and engineers on new Tulip workflows.
· Develop SOPs, training materials, and job aids that meet regulatory documentation standards.
· Promote a culture of digital adoption, right-first-time execution, and data-driven decision-making.
5. Cross-Functional Collaboration
· Partner with QA, Validation, and IT/OT to ensure secure, compliant, and reliable infrastructure for Tulip deployments.
· Collaborate with process engineering and operations to embed Tulip into new equipment, processes, and capital projects.
· Work with corporate digital teams to align with enterprise architecture, cybersecurity, and digital strategy.

Qualifications
· Bachelor’s degree in Engineering, Computer Science, Life Sciences, or related field.
· 2–5 years of experience in pharmaceutical manufacturing, process engineering, or digital systems.
· Hands-on experience with Tulip or similar low-code MES/digital work instruction platforms.
· Understanding of GMP, GAMP 5, 21 CFR Part 11, Annex 11, and data integrity requirements.
· Experience validating computerized systems in a regulated environment.
· Knowledge of SQL, APIs, OPC UA, or IoT integrations.
· Experience with Lean, Six Sigma, or operational excellence methodologies.
· Familiarity with pharma systems (ERP, LIMS, MES, SCADA, PLCs).
· Strong analytical and problem-solving skills with the ability to translate GMP workflows into digital solutions

Sr Devops Engineer

Senior Software Engineer — DevOps responsible for designing, configuring, securing, monitoring,
maintaining, and troubleshooting cloud infrastructure and web services across AWS/Azure/GCP
environments. The role focuses heavily on AWS infrastructure, web/application performance,
automation, system security, databases, networking, deployment pipelines, and disaster recovery, While
working closely with Development, IT, and Product teams.
Main Required Skills
Cloud: Strong hands-on experience with AWS; knowledge of Azure and GCP
DevOps & Automation: Jenkins, Ansible, Salt, CI/CD and automation pipelines
Infrastructure: Infrastructure provisioning, configuration, patching, upgrades, maintenance and
capacity management
Web Infrastructure: LAMP stack, web servers, web farms, DNS, load balancing and web services
Networking: TCP/IP, network troubleshooting, firewalls, load balancers and performance
troubleshooting
Databases: MSSQL, MySQL and PostgreSQL administration
Security: Cloud/system security, access management, security monitoring and audits
Monitoring & Troubleshooting: System/application monitoring, log analysis, incident and
performance troubleshooting
Disaster Recovery: Backup management and Data Recovery/DR site setup and maintenance
Development Environment: Experience supporting Dev and Test infrastructure
Microservices: Experience working With or supporting microservices architectures
Programming/Scripting: Programming or scripting experience is a strong plus
Collaboration: Experience working cross-functionally with Development, IT, Design and product
Must-Have Skills
For sourcing and initial screening, I would treat these as the core mandatory requirements:
years Of relevant DevOps / Cloud / Infrastructure experience
2.
Strong hands-on AWS experience — setting up, configuring and managing AWS environments
LAMP / Web Infrastructure administration
3.
TCP/IP networking and troubleshooting
4.
5.
Web services, DNS and load balancing
Infrastructure provisioning and cloud capacity management
6.
CI/CD and automation pipeline experience
7.
System/application monitoring and troubleshooting
8.
Security experience, including firewall, access management and system/cloud security
9.
Experience with databases, particularly MySQL/PostgreSQL and/or MSSQL administration
10.
Operating system administration, including installation, patching, upgrades and configuration
11.
12.
Backup and Disaster Recovery experience
13. Strong English communication skills

Sr.Devops/Linux Infrastructure

The role is for a strong DevOps / Linux Infrastructure profile, with experience across Linux system
administration, CI/CD, Ansible/Puppet, LEMP/MERN stacks, NGINX, Redis/Memcached, monitoring
tools, backup & disaster recovery, and production support.
Main Required Skills:
• 6+ Years of Experience
• Strong Linux system administration skills, preferably with CentOS and AlmaLinux, including
monitoring production systems, troubleshooting, escalation, and administering multiple servers.
• Proven experience deploying applications to staging and production environments with minimal
downtime, and maintaining/updating deployment procedures.
• Experience building and maintaining CI/CD pipelines in collaboration with development and QA
teams.
• Practical knowledge of infrastructure as code and configuration management using Ansible and
Puppet, for provisioning new servers and updating existing infrastructure.
• Strong skills configuring and maintaining LEMP (Linux, Nginx, MySQL, PHP) and MERN
(MongoDB, Node.js) stacks in high-availability environments.
• Experience managing high-traffic, load-balanced systems using NGINX (web serving, load
balancing, reverse proxying), and caching mechanisms.
• Experience with Memcached/Redis configuration and optimization.
• Strong understanding of web technologies including caching, proxying, content distribution,
Web-Sockets, load balancing, and disaster recovery procedures.
• Experience with monitoring tools such as Zabbix, Grafana, and ELK.
• Understanding of backup and disaster recovery concepts and best practices.
• Experience with version control tools (Git/GitHub).
• Ability to work cross-functionally to resolve production issues with minimal client impact, and to
perform updates, patches, and maintenance across production and pre-production
environments.
Must Have Skills:
• NGINX – web serving, load balancing, and reverse proxying
• CDN and caching/proxying at the web layer
• Memcached / Redis
• LEMP stack configuration
• HAProxy / load balancing
• Kubernetes, Docker, Terraform, CI/CD
• Cloud/Container technologies
• GCP

Service Desk Engineer( L1 Support)

ABOUT THE ROLE
We are looking for a Service Desk Engineer (LI) to provide front-line IT support in a managed service desk
environment operating 24x7. The mle is primarily focused on effective end-user interaction, accurate ticket
handling, and timely resolution or escalation of incidents and service requests. The engineer will serve as the
first point of contact for users and play a key role in delivering a positive support experience.
This position emphasizes communication, customer service, and process adherence, With basic technical
troubleshooting aligned to Level I support responsibilities. Engineers work on a rotational shift roster that
provides round-the-clock coverage.
WHAT YOU'LL DO
user Support & Communication
• Act as the first point of contact for end users via phone, email, and ticketing system.
• Provide clear, professional, and empathetic communication to users during issue handling.
• Set proper expectations on resolution timelines and keep users informed of ticket status.
• Provide timely updates and ensure user satisfaction before ticket closure.
Ticket Management
• Log, categorize, prioritize, and update tickets accurately in the service desk tool.
• Ensure tickets are handled in line with defined As and operational procedures.
• Perform timely escalation of unresolved issues to L2/L3 teams with proper documentation.
• Follow up with users to confirm resolution and closure.
• Hand over open and in-progress tickets clearly at each shift change so support continues seamlessly.
Level 1 Technical Support
• Perform basic LI troubleshooting for common IT issues (password resets, access issues, basic application
and hardware problems).
• Use knowledge articles and standard operating procedures to resolve recurring issues.
• Identify incident trends and recurring problems and highlight them to senior teams.
process & Service Quality
• Adhere to ITIL-based service desk processes.
• Maintain high standards of service quality and customer satisfaction.
• Support continuous service improvement initiatives.
Knowledge Base & Documentation
• Create, update, and maintain Knowledge Base (KB) articles for common issues, solutions, and
workarounds.
• Ensure documentation is clear, accurate, and user-friendly to support self-service and faster resolutions.
• Contribute to continuous improvement Of service desk documentation and processes.
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AN AS TEK COMPANY
WORK SCHEDULE
• 24x7 service desk coverage delivered through a rotational shift roster, including night shifts, weekends,
and public holidays.
• Support users across multiple time zones during your shift.
• Shift patterns and rotation are confirmed by the service desk lead as per the project roster.
WHAT YOU'LL NEED
• Strong verbal and written communication skills.
• Proven experience in ticket handling and service desk operations.
• Good understanding of incident and service request management.
• Ability to document solutions clearly and effectively.
• Basic knowledge of:
Desktop and laptop support
User account and access management
• Standard enterprise applications
• Ability and willingness to work rotational 240 shifts, including nights, weekends, and public holidays,
and to support users across multiple tinne zones.
• Customer-focused mindset With strong attention to detail.
NICE TO HAVE
• ITIL Foundation certification.
• prior experience in a 24x7 managed service desk environment.
• Exposure to enterprise ITSM / ticketing tools.

Salesforce Developer- Marketing Cloud

4+ years of Salesforce development experience.
Hands-on experience with Salesforce Marketing Cloud.
Strong understanding of audience segmentation, customer journeys, activation, consentaware data usage, and campaign orchestration.
Experience with AMPscript, SQL, SSJS, APIs, and Marketing Cloud automation capabilities.
Experience integrating Salesforce platforms with third-party systems and enterprise data
sources.
Strong knowledge of data modeling, ETL processes, and API-based architectures.
Ability to work across technical and business teams in a fast-paced environment.
Nice-to-Have Skills:
Salesforce Marketing Cloud Developer and/or Salesforce Data Cloud certification.
Experience with Journey Builder, Automation Studio, Contact Builder, Email Studio, Mobile
Studio, and personalization use cases.
Experience with CRM data synchronization and campaign performance optimization.
Familiarity with privacy, consent, and enterprise data governance requirements.
Description: Scope of Work:
The team is looking for a Salesforce Developer with strong expertise across Salesforce Data
Cloud and Salesforce Marketing Cloud to build connected customer data and engagement
solutions. The role owns the technical implementation of audience creation, customer
journeys, data activation, and cross-platform integrations that improve personalized
marketing effectiveness. The objective is to deliver seamless customer data-to-campaign
activation workflows that strengthen personalization and marketing execution in close
partnership with marketing and data stakeholders.
Key Responsibilities:
Design and implement end-to-end solutions across Salesforce Data Cloud and Marketing
Cloud.
Build and support data ingestion pipelines, identity resolution logic, audience
segmentation, and activation workflows.
Develop and maintain Marketing Cloud assets, including journeys, automations, triggered
communications, data extensions, and personalization components.
Integrate Data Cloud audiences and insights with Marketing Cloud campaigns and
orchestration flows.
Partner with marketing, CRM, product, and analytics teams to translate campaign and
customer lifecycle needs into technical solutions.
Monitor campaign data quality, audience accuracy, and platform performance.
Troubleshoot issues across subscriber data, segmentation, activation, automations, and
campaign execution.
Document technical solutions, dependencies, and operational processes.
Time Zone Coverage: U.S. Central Time (CST); some overlap with India Standard Time (IST)
is expected (Preferably, availability until 11:00 a.m. CST)
Preferred Region: APAC.

Fullstack AI Engineer

 Experience on Docker and Containerization technology.
 Experience working with Node.js, ReactJS, NextJS, NestJS, Typescript, MERN equivalent stacks.
 Experience working with building GenAI applications and have experience with GenAI Knowledge, such as. Context, Token, Completions, Temperature, RAG, Hallucination, etc.
 Experience working with LangChain, LangGraph/PydanticAI and Python.
 Experience working with NoSQL databases such as MongoDB, DynamoDB, etc.
 Experience working with Relational databases such as PostgreSQL, etc.
 Experience working with Unit Testing tools such as Jest/Playwright/Cypress/Pytest.
 Knowledge in source code repository and branching models in Git and usage of tools such as GitHub, GitLab, BitBucket etc.
 Working knowledge of Agile and/or Lean methodologies along with tools such as Confluence, JIRA and Sharepoint.
 Demonstrated exceptional written and verbal communication skills.

AI Engineer- AWS

 Know-how of the AWS technology stacks and services. Familiar with other cloud providers and technology is a plus.
 Fundamental experience building applications using services provided by AWS such as API Gateway, EC2, AWS lambda , ECS, EKS (is a plus), ECR, etc.
 Experience on building Serverless Architecture solutions using Docker, Lambda, ECS, EKS, etc. and Microservice Architecture.
 Having certifications like AWS Solutions Architect or other equivalent is a plus.
 Experience working with Node.js, ReactJS, NextJS, NestJS, Typescript, MERN equivalent stacks.
 Experience working with Go Lang is a plus.
 Having knowledge about WebRTC is a plus.
 Experience working with Contact Center is a plus.
 Experience working with building GenAI applications and have experience with GenAI Knowledge, such as. Context, Token, Completions, Temperature, RAG, Hallucination, etc.
 Experience working with LangChain, LangGraph and Python.
 Experience working with Google ADK is a strong plus.
 Experience working with Text-to-Speech, Speech-to-Text and Speech-to-Speech is a plus.
 Experience working with NoSQL databases such as MongoDB, DynamoDB, etc.
 Experience working with CI/CD tooling such as BitBucket pipeline
 Experience working with Unit Testing tools such as Jest/Playwright/Cypress.
 Experience working with Infrastructure-as-a-Code (IaC) such as Terraform.
 Knowledge in source code repository and branching models in Git and usage of tools such as GitHub, GitLab, BitBucket etc.
 Working knowledge of Agile and/or Lean methodologies along with tools such as Confluence, JIRA and Sharepoint.
 Demonstrated exceptional written and verbal communication skills.

Java Full Stack Devoleper[Java Angular]

Key Responsibilities:
Backend and architecture:
Design, develop, and maintain enterprise applications using Java, Spring Boot, and the Spring ecosystem.
Build scalable microservices and RESTful APIs following clean code, SOLID principles, and established design patterns.
Design and implement authentication, authorization, and role-based access control, including SSO and external identity provider integrations.
Develop and optimize schemas, indexes, queries, and transactions.
Implement caching, asynchronous processing, messaging, and event-driven communication where appropriate.
Diagnose and resolve performance issues, production defects, and complex technical problems.

Frontend:
Build and maintain frontend features using Angular and TypeScript.
Integrate frontend applications with backend services and ensure reliable end-to-end workflows.

AI-assisted engineering:
Use AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate design, implementation, refactoring, testing, and documentation.
Configure and use MCP servers and connectors that give agents controlled access to repositories, issue trackers, databases, documentation, and internal tools.
Create and maintain reusable agent assets such as project instructions, skills, prompts, and workflows for the team.
Critically review, test, and take full ownership of AI-generated code; never ship code you do not understand.
Ensure AI tools are used in line with data-protection and security policies, especially around clinical and patient data.

Quality and collaboration:
Write unit and integration tests and take part in code reviews.
Contribute to application security, scalability, reliability, and maintainability.
Work with Docker, CI/CD pipelines, Git, and containerized or cloud deployment environments.
Collaborate with architects, product owners, QA, and DevOps throughout the SDLC.
Mentor junior developers, including on effective and responsible use of AI coding tools, and contribute to technical documentation.

Experience and Education:
6+ years of professional software development experience.
Strong hands-on Java and Spring Boot backend experience, with production microservices delivered.
Practical frontend experience with Angular (or React).
Demonstrated use of AI coding agents in professional development work.
Strong analytical, debugging, and problem-solving skills.
Ability to own features from design through development, testing, and deployment.
Excellent communication, collaboration, and technical decision-making.

Data Scientist - AI/ML

• 5+ years in an analytical position. Coding experience required
• Degree in Mathematics, Statistics, Data Science or similar required
• Proven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling, testing and (ideally) deployment
• Advanced knowledge of Python, SQL and Excel. R and JavaScript knowledge is nice to have
• Experience with typical data science packages: numpy, pandas, matplotlib/seaborn, scikit-learn, scipy, statsmodels, and TensorFlow/Pytorch
• Experience in NLP and Computer Vision nice to have
• Knowledge of MLOps principles and tools: cloud technologies, version control, and microservices
• Excellent analytical and problem-solving skills
• Ability to contribute both independently and as part of a team
• Excellent listening, communication, interpersonal and presentation skills

SAP DRC Consultant

Key Responsibilities:

1. Solution Design & Configuration
Configure and maintain the SAP DRC framework, including the eDocument Cockpit, Application Interface Framework (AIF), and statutory reporting functionalities.
Map legal requirements from various countries into standard SAP DRC capabilities (e.g., CTC mandates, e-way bills, SAF-T, and localized VAT reporting).
Collaborate with integration teams to establish secure connections between SAP and tax authority portals via SAP BTP Integration Suite (CPI) or API management.

2. Business Analysis & Compliance
Partner with Global Tax and Finance teams to monitor changing international tax legislations and translate them into technical SAP specifications.
Analyze existing financial processes (AP, AR, GL) to optimize tax determination, pricing procedures, and master data for seamless e-invoice generation.

3. Support & Maintenance
Troubleshoot and resolve day-to-day transaction errors within the eDocument Cockpit and AIF monitors.
Apply SAP Notes, Support Packages, and regulatory updates (such as legal changes delivered via SAP OSS) to keep the compliance framework up to date.

Job Qualifications & Requirements:

Education & Experience:
Education: Bachelor’s degree in Computer Science, Information Technology, Finance, Accounting, or a related field.

Experience:
Minimum of 5+ years of hands-on experience in SAP FI/CO modules.
At least 2–3 years of specialized experience working with SAP DRC (formerly SAP eDocument and Advanced Compliance Reporting - ACR).
Proven experience in at least one full-lifecycle global rollout involving local e-invoicing mandates (e.g., Italy SDI, Poland KSeF, France Chorus Pro, Romania RO e-Factura
Expert knowledge of SAP Indirect Tax (VAT/GST) setup, with deep experience in complex EU tax rules within large MNC environments.
ABAP debugging skills to troubleshoot complex tax calculation and interface issues.
Excellent communication and problem solving skills

Python- ML Developer

Key Responsibilities
1. Incident Management & Bug Fixing Investigate and resolve incidents reported on AI algorithms used by L'Oréal researchers (model crashes, wrong outputs, data pipeline failures, performance degradation) Diagnose root causes: data issues, code bugs, dependency conflicts, model drift Apply fixes, test and validate corrections before redeployment Document incidents and resolutions in the ticketing system
2. Algorithm Maintenance Apply patches, dependency updates and environment fixes Ensure models remain functional after infrastructure changes (cloud updates, library upgrades, data schema changes) Maintain and update data preprocessing pipelines feeding the models
3. Code Review & Quality Read, understand and improve existing Python codebases (often written by Data Scientists) Refactor poorly structured code to improve maintainability and reliability
4. Collaboration with R&I Teams

Required Skills:
Experience: 4+ years
Core Technical Skills — Must Have

Domain Skills Level
Python Advanced Python, debugging, OOP, clean code - Expert
Data manipulation Pandas, NumPy, data wrangling, ETL pipelines- Intermediate
ML Frameworks Scikit-learn, TensorFlow or PyTorch (reading & fixing, not training from scratch) - Intermediate
API & services FastAPI, REST APIs, JSON, basic microservices - Intermediate
Version control Git + GitHub Advanced — see detail below- Intermediate
Environment management Poetry, pip, virtual environments, requirements management- Expert
Cloud — GCP AI Services, GCP Projects, Vertex AI, BigQuery, Service, Account, Google Storage (Buckets), Artifact Registry- Beginner
Containerisation Docker — run, build, debug a container - Intermediate
SQL Ability to query databases and investigate data issues - Intermediate

Dot Net Developer

Job Title : .NET Developer (Web API / REST)
Experience: 4–5 years
Work from Office –Cochin

Overview
We are seeking a skilled .NET Developer with proven expertise in building and maintaining RESTful APIs
and Web API services. The ideal candidate will have strong backend development experience, database
integration skills, and the ability to deliver scalable enterprise applications.
Responsibilities
• Design, develop, and maintain web applications using .NET technologies.
• Build, optimize, and manage RESTful APIs for seamless integration across systems.
• Collaborate with cross-functional teams including frontend developers, QA, and DevOps.
• Troubleshoot, debug, and resolve application issues.
• Ensure application performance, scalability, and security.
• Write clean, maintainable, and well-documented code.
• Participate in Agile/Scrum ceremonies and contribute to technical discussions.

Required Skills
• 4–5 years of experience in software development using .NET technologies.
• Strong proficiency in C#, ASP.NET Core / .NET Core, Web API, REST.
• Hands-on experience in designing, consuming, and handling REST APIs with high performance
and security.
• Experience with Entity Framework and SQL Server.
• Solid understanding of object-oriented programming and design patterns.
• Familiarity with Git and version control systems.
• Strong debugging and problem-solving skills.

Preferred Skills
• Exposure to cloud platforms such as Azure or AWS.
• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of microservices architecture.

Soft Skills
• Strong communication and collaboration abilities.
• Analytical mindset with problem-solving skills.
• Ability to work independently and in a team environment

Gen AI Machine Learning Engineer

 6+ years of experience in AI and machine learning, out of which 3+ years of experience in machine learning engineering, NLP, Generative AI, and LLM technologies.
 Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.).
 Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies.
 Hands-on experience of MLOps and LLMOps is desired.
 Knowledge of design, implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.
 Advanced knowledge of Python and some experience in ML frameworks (PyTorch, scikit-learn, etc.) for training, fine-tuning, and deploying generative models is desired.
 Experience with Cloud technology, preferably AWS.
 Experience with Voice Conversational AI will be a big plus.
 Ability to contribute both independently and as part of a team.
 Excellent analytical and problem-solving skills.
 Excellent listening, communication, interpersonal and presentation skills to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.

Lead AI/ML Engineer

Lead AI/ML Engineer
Role Overview
We are looking for a Lead AI/ML Engineer with strong hands-on experience in Generative AI and LLM-based solutions to design, build, and deploy production-grade AI systems.
What the Role Will Focus On
• Designing and deploying LLM-powered applications (GPT, Claude, Llama, Mistral)
• Building conversational agents, copilots, and multi-agent workflows
• Architecting RAG pipelines, prompt strategies, and tool/function calling
• Developing scalable Python backends (FastAPI, async APIs, vector database integrations)
• Deploying solutions on AWS (Lambda, ECS/EKS, Bedrock, SageMaker, CI/CD pipelines)
• Collaborating with product and engineering teams to deliver enterprise-ready GenAI solutions
Required Skills & Experience
• Strong hands-on experience with Generative AI and LLM development
• Experience with LangChain, LangGraph, OpenAI Agents, CrewAI, or similar frameworks
• Solid Python engineering skills with microservices experience
• Proven ability to design end-to-end GenAI architectures
• Cloud-native deployment experience (AWS preferred)
Nice to Have
• Experience with multimodal AI (text, image, audio)
• Knowledge of knowledge graphs
• Experience with enterprise system integrations
Candidate Profile
• Mid- to senior-level technical leader who enjoys building and shipping solutions
• Comfortable owning projects end to end
• Collaborative, proactive, and passionate about GenAI innovation

Xamarin Developer

5+ years experience
Knowledge in Xamarin Forms and MAUI.
Experienced in using Xamarin studio and Visual studio for Xamarin mobile app development
Knowledge of C#, MVVM,Oops, ASP.NET MVC, REST based API, C#, Linq, Jquery, SQL Server
Strong understanding of Object oriented principle and design patterns.

Business Development Manager

Role Overview:
We are seeking a dynamic and experienced Business Development Manager to grow our IT Services Sales efforts. This is a strategic leadership role responsible for front-end business development, closing large-value deals, and elevating Astek and Simelabs' brand presence in India, especially within the life sciences and healthcare sectors.
Key Responsibilities:
Develop and execute go-to-market strategies for IT services in the global market, particularly the US, Europe, and APAC regions.
Identify, engage, and convert new clients in target industries such as healthcare, life sciences, pharmaceuticals, and medical technology.
Drive large-value deal closures through consultative selling and C-level engagement.
Build strong relationships with industry stakeholders and decision-makers.
Collaborate closely with the delivery and presales teams to shape winning proposals.
Represent and amplify the Astek-Simelabs brand in India through strategic partnerships, events, and networking.
Provide thought leadership and market insights to shape service offerings and innovation strategy.
Build and mentor a high-performing business development team over time.
Requirements:
8+ years of experience in IT services sales.
Proven track record of closing large deals in international markets.
Strong exposure to life sciences, healthcare, or med-tech domains (preferred).
Excellent understanding of global IT services landscape, especially digital transformation, cloud, data, and application development.
Demonstrated ability to work independently, drive results, and influence senior stakeholders.
Outstanding communication, negotiation, and presentation skills.
Willingness to travel internationally as required.
What We Offer:
A dynamic and collaborative environment within a fast-growing global group (Astek).
Opportunity to shape and lead the India growth strategy.
Competitive compensation with performance-based incentives.
Global exposure and opportunities to work with cutting-edge technologies and global clients

Statistical Programmer

Key Responsibilities
Develop, validate, and maintain ADaM datasets, TLFs, and other analytical outputs for clinical trials.
Support Oncology studies by ensuring accuracy, consistency, and regulatory compliance in all programming deliverables.
Contribute to ISS/ISE activities, including dataset integration, analysis, and documentation.
Work closely with statisticians, data managers, and clinical teams to ensure timely and quality delivery.
Assist in regulatory submissions and RTQs, providing clear, traceable, and compliant programming outputs.
Collaborate in an agile environment, participating in sprint meetings, planning, and continuous improvement discussions.
Work with internal tools and platforms, including GSK-specific tools, following established standards and governance.
Troubleshoot data/programming issues and propose process enhancements.
Ensure adherence to CDISC standards, good programming practices, and audit-ready documentation.
Required Skills & Qualifications
Proficiency in R programming
(Intermediate candidates with strong learning intent and ability to upskill quickly will also be considered.)
Solid experience in SAS programming, especially in a clinical/biostatistics environment.
Hands-on expertise in ADaM dataset development and TLF programming.
Good understanding of CDISC standards and clinical trial data flow.
Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams.
Preferred Qualifications
Advanced or Expert-level R Programming skills.
Experience working on Oncology therapeutic area studies.
Exposure to ISS/ISE, submission workflows, and regulatory interactions (e.g., RTQs).
Practical understanding of agile ways of working (Scrum/Kanban).
Prior experience using or supporting GSK tools and platforms.

SAP EWM Developer

Job Summary
The Senior Assoc, Functional Design and Architect is accountable for collaborating with the Digital and Transformation team in various locations to define, deliver and support IT enabled business solutions for respective SAP module. This role will also help determine business needs and design and deliver technical solutions for these areas. The role with help will handle the delivery, maintenance, system configuration and enhancement plus production support in alignment with West Digital and Transformation and company policies and procedures.

Additional Responsibilities
Education
Bachelor's Degree Computer Science required or
Bachelor's Degree Information Systems required
Work Experience
Minimum 5 years 5-8 years of relevant experience required

Preferred Knowledge, Skills and Abilities
SAP EWM with intigrated with PP & QM
SAP EWM with intigraded with MM & SD