INFOPARK

Immediate Opening for Data Engineer

We are seeking a highly skilled Data & AI Engineer with expertise in Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLMs), and Databricks. The ideal candidate will design, develop, and deploy scalable AI and data solutions that enable advanced analytics, intelligent automation, and AI-driven business outcomes.

Experience 5-15 Years

Key Responsibilities

Design, develop, and deploy end-to-end AI and Machine Learning solutions.

Build predictive analytics models for forecasting, classification, recommendation, and optimization use cases.

Develop and implement NLP solutions, including text analytics, document intelligence, sentiment analysis, and conversational AI.

Build Computer Vision solutions for image classification, object detection, OCR, and video analytics.

Develop and deploy Generative AI and LLM-based applications, including RAG, AI agents, and conversational assistants.

Design and implement scalable data pipelines and AI workflows using Databricks. Develop feature engineering pipelines, model training workflows, and model evaluation frameworks.

Implement MLOps practices for model deployment, monitoring, retraining, and governance.

Work with structured, semi-structured, and unstructured data from multiple sources. Collaborate with business, data engineering, and application teams to translate business

Immediate Opening for Gen AI SSE Position

Gen AI Application Developer – Python – SSE (3-5 Yrs.) Programming: Strong Python programming skills; experience with TypeScript/JavaScript is a plus. GenAI Frameworks & Ecosystem: Hands-on experience with frameworks like LangChain, LangGraph, LlamaIndex, or similar agentic AI libraries. Knowledge of MCP, A2A protocols, output evaluation libraries are good to have. LLMs & Prompt Engineering: Solid understanding of large language models (OpenAI, Anthropic, Cohere, etc.), prompt engineering, tool invocation, and context management. RAG & Vector DBs: Proficiency with different patterns of Retrieval Augmented Generation (RAG), vector databases (Pinecone, Weaviate, etc.), embeddings, and chunking strategies. API Development: Experience designing and building RESTful APIs and integrating AI services. Cloud Platforms: Exposure to atleast 1 cloud providers (AWS, Azure, GCP) Best Practices: Knowledge of software engineering best practices, design patterns, and code optimization. Problem-Solving: Excellent ana

Immediate Opening for Module Lead /Technical Lead

Technical Requirements

Core AI/ML: Expert-level proficiency in Python and leading AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.

Strong understanding of supervised, unsupervised, and deep learning techniques, with experience developing, evaluating, and optimizing production-grade machine learning models.

LLMs & Generative AI: Hands-on experience with transformer-based foundation models (GPT, Llama, BERT, Mistral, etc.), prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning (LoRA/QLoRA), embedding models, and agentic AI workflows for domain-specific applications.

Data Engineering: Proficiency in working with structured, semi-structured, and unstructured data (JSON, XML, CSV, Parquet, documents).

Strong knowledge of SQL/NoSQL databases, vector databases, and graph data structures.

Experience with document processing, OCR pipelines, and specialized data extraction is a strong advantage.

Backend & AI Deployment: Experience exposing AI/ML models through



Roles and Responsibility

This role is not just about building AI models—it is about building the intelligence that powers the industrial backbone of the future.

You will solve real-world, high-impact challenges, from ensuring product design and manufacturing are safe and compliant to predicting supply chain disruptions before they impact critical operations or national security capabilities.

Data Exploration & Analysis Regulatory Text Interpretation Rule Formalization Natural Language Querying Retrieval-Augmented Generation (RAG) & Knowledge Engineering Forecasting & Demand Prediction Classification & Risk Scoring Data Engineering for AI AI Model Orchestration Performance Optimization Model Validation & Quality Assurance

Immediate Opening for Data Engineer (Module Lead/Technical Lead)

Technical Requirements

Experience -5 to 10 years

Core AI/ML: Expert-level proficiency in Python and leading AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.

Strong understanding of supervised, unsupervised, and deep learning techniques, with experience developing, evaluating, and optimizing production-grade machine learning models.

LLMs & Generative AI: Hands-on experiencea with transformer-based foundation models (GPT, Llama, BERT, Mistral, etc.), prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning (LoRA/QLoRA), embedding models, and agentic AI workflows for domain-specific applications.

Data Engineering: Proficiency in working with structured, semi-structured, and unstructured data (JSON, XML, CSV, Parquet, documents).

Strong knowledge of SQL/NoSQL databases, vector databases, and graph data structures.

Experience with document processing, OCR pipelines, and specialized data extraction is a strong advantage.

Backend & AI Deployment: Experience exposing AI/ML models through

Roles and Responsibility

This role is not just about building AI models—it is about building the intelligence that powers the industrial backbone of the future.

You will solve real-world, high-impact challenges, from ensuring product design and manufacturing are safe and compliant to predicting supply chain disruptions before they impact critical operations or national security capabilities.

Data Exploration & Analysis Regulatory Text Interpretation Rule Formalization Natural Language Querying Retrieval-Augmented Generation (RAG) & Knowledge Engineering Forecasting & Demand Prediction Classification & Risk Scoring Data Engineering for AI AI Model Orchestration Performance Optimization Model Validation & Quality Assurance

Immediate Opening BA Senior Consultant

Senior Consultant- BA (12-15 years experience)

Experience: 12- 15 years

Role Overview:

We are seeking a seasoned Business Analyst with 12-15 years of experience to drive business transformation initiatives by partnering closely with customers, industry experts, product managers, and engineering teams. The ideal candidate will have a deep understanding of business processes, excellent stakeholder management skills, and a proven track record in delivering high-impact solutions in complex environments.

Key Responsibilities:

• Engage proactively with customers, industry experts, product managers, and technical teams to deeply understand and analyze detailed business processes and objectives.

• Lead business process analysis, redesign initiatives, and roadmap planning efforts aligned with organizational strategy.

• Develop and nurture strong relationships with internal and external stakeholders, ensuring clear communication and alignment throughout the project lifecycle.

• Conduct thorough requirements gathering sessions with diverse stakeholders, translating business needs into detailed and unambiguous documentation.

• Collaborate cross-functionally with stakeholders, development teams, and subject matter experts to design solutions that meet business goals and ensure project success.

• Perform comprehensive analysis of existing business processes to identify inefficiencies, pain points, and recommend innovative solutions to optimize operational workflows.

• Own and maintain business requirements artifacts including Feature lists, Epics, user stories, business requirements documents (BRD/BRS), functional specifications (FSD), and prototypes with a focus on clarity and completeness.

• Define acceptance criteria, user scenarios, and ensure requirements are agile-ready to support sprint planning and delivery by scrum teams.

• Plan and facilitate workshops, discovery sessions, and requirement elicitation meetings to gather insights, validate requirements, and assess current state business processes.

• Provide guidance and training to end-users on new system features and functionality to ensure smooth adoption and minimal disruption.

• Partner closely with Product Owners, and if necessary, act as Product Owner to prioritize and manage the product backlog in alignment with business priorities.

• Support pre-sales activities by contributing to RFPs, proposal preparation, and developing accurate BA effort estimates.


Preferred Qualifications:

• 12-15 years of proven experience as a Business Analyst in complex projects.

• Strong expertise in business process analysis, documentation standards, and Agile methodologies.

• Excellent communication, negotiation, and stakeholder management skills.

• Experience in facilitating workshops and managing cross-functional teams.

• Proven ability to translate complex business needs into clear, actionable requirements and user stories.