INFOPARK

System Administrator

Job Title: System Administrator
Job Code: CUB/2026/SSE/011
Experience: 4-6yrs
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.

Role Overview
We are seeking an experienced System & Network Administrator with hands-on expertise in managing enterprise IT infrastructure, networks, servers, end-user systems, and security. The ideal candidate should have strong expertise in Linux (Ubuntu), Windows, and macOS administration, network configuration and troubleshooting, hardware maintenance, virtualization, backup management, and IT security. Additionally, the candidate should possess basic to intermediate AI proficiency, with the ability to leverage AI-powered tools for IT operations, automation, monitoring, troubleshooting, and productivity enhancement.
The candidate will be responsible for maintaining the organization's IT infrastructure, ensuring system availability, security, performance, and providing technical support to employees.

Key Responsibilities

Network Administration
Configure, manage, and troubleshoot LAN, WAN, VLAN, VPN, Wi-Fi, and internet connectivity
Manage network devices including routers, switches, firewalls, and access points
Monitor network performance and optimize bandwidth utilization
Implement and maintain network security policies and access controls
Configure and maintain VPN solutions for remote access
Troubleshoot network outages, latency issues, and connectivity problems
System Administration
Install, configure, monitor, and maintain:
Ubuntu/Linux Machines and Servers
Windows Machines, Servers, and Workstations
macOS Systems
Perform system upgrades, patch management, and security hardening.
Configure and maintain user accounts, permissions, and access controls.
Monitor system performance and capacity planning.
Implement and maintain backup and disaster recovery solutions.
Manage virtualization environments such as VMware, Proxmox, or similar platforms.
Hardware & End User Support
Diagnose and resolve hardware issues related to:
Laptops
Desktops
Servers
Printers
Network Devices
Coordinate hardware procurement, installation, upgrades, and replacements.
Maintain IT asset inventory and lifecycle management.
Provide technical support to employees for hardware and software-related issues.
Security & Compliance
Implement endpoint security, antivirus, and vulnerability management.
Conduct periodic security audits and system health checks.
Manage MFA, SSO, VPN, and access control mechanisms.
Ensure compliance with organizational security policies and industry best practices.
Monitor security incidents and coordinate remediation activities.
Monitoring
Implement and maintain monitoring tools such as:
Grafana
Prometheus
AI-Driven IT Operations & Automation
Utilize AI-powered tools (e.g., Copilot, ChatGPT, automation platforms) to enhance IT operations and troubleshooting
Automate routine system administration tasks using scripts and AI-assisted workflows
Leverage AI for log analysis, anomaly detection, and predictive maintenance
Use AI tools for faster root cause analysis and documentation
Stay updated with emerging AI technologies relevant to system administration and IT operations

Required Skills

Operating Systems
Ubuntu/Linux Administration
Windows Administration
macOS Administration
Networking
TCP/IP, DNS, DHCP
VPN, VLAN
Routing & Switching
Firewall Management
Network Security
Hardware
Laptop/Desktop Troubleshooting
Server Maintenance
Hardware Diagnostics
IT Asset Management
Cloud & Virtualization
VMware / Proxmox
Security
MFA & SSO Configuration
Endpoint Security
Vulnerability Management
Backup & Disaster Recovery
AI Proficiency
Familiarity with AI tools for IT automation and support
Basic scripting and automation (Shell/Python preferred)
Experience using AI for troubleshooting, documentation, or monitoring
Understanding of AI-assisted productivity tools in IT operations

Qualifications

Diploma Computer Science/ Electronics & Communication/ Information Technology or a related field
Hands-on experience in System & Network Administration
Relevant certifications are an advantage:
CCNA / CCNP
RHCSA / RHCE
Microsoft Certifications
Exposure to AI/automation tools in IT environments is an added advantage

AI Solutions Engineer

Job Title: AI Solutions Engineer
Job Code: CJD1228
Experience: 7+ years
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.
Role Overview
An experienced and innovative AI Solutions Engineer to design, develop, and deploy scalable AI/ML solutions that address business challenges - the ideal candidate bridges the gap between data science, software engineering, and business needs, translating requirements into production-ready intelligent systems.

Key Responsibilities
Design, build, and deploy AI/ML models and solutions in production environments
Collaborate with stakeholders to understand business requirements and translate them into AI-driven solutions
Develop end-to-end pipelines including data ingestion, preprocessing, model training, evaluation, and deployment
Integrate AI capabilities into existing applications using APIs, microservices, and cloud platforms
Optimize model performance, scalability, and cost efficiency
Monitor deployed models, ensuring reliability, accuracy, and continuous improvement
Work closely with data scientists, software engineers, and DevOps teams
Stay up to date with advancements in AI/ML technologies and recommend best practices
Build documentation, reusable components, and solution architectures
Required Skills
Strong understanding of machine learning, deep learning, and AI concepts
Proficiency in Python (TensorFlow, PyTorch, Scikit-learn)
Experience with LLMs, NLP, Computer Vision, or Generative AI
Knowledge of data engineering (ETL pipelines, SQL, Spark, etc.)
Experience with cloud platforms (Azure, AWS, or GCP) and ML services
Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
Experience building REST APIs and microservices
Understanding of version control (Git) and CI/CD pipelines
Soft Skills
Excellent communication and teamwork abilities.
Strong problem-solving and analytical skills.
Ability to work in cross-functional teams.
Ability to translate complex technical concepts into business value
Qualifications
Bachelor’s degree in Computer Science, AI, Data Science, or related field

ML Engineer

Job Title: ML Engineer
Job Code: CJD1229
Experience: 4+ years
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.
Role Overview
We are seeking a skilled Machine Learning Engineer to design, build, and deploy machine learning models and systems at scale. The role involves working closely with data scientists, software engineers, and business teams to transform data into actionable insights and production-ready ML solutions.

Key Responsibilities
Design, develop, and deploy scalable machine learning models and pipelines
Build and maintain end-to-end ML workflows (data collection, preprocessing, training, evaluation, deployment)
Collaborate with data scientists to operationalize models into production environments
Optimize model performance, accuracy, and latency
Implement data validation, monitoring, and model retraining strategies
Develop APIs and microservices to serve ML models
Work with large datasets using distributed systems and big data tools
Ensure reliability, scalability, and performance of ML systems
Maintain proper documentation and version control for models and pipelines
Design and implement Generative AI solutions using Large Language Models (LLMs).
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
Build AI agents and workflow automation using modern AI frameworks.
Required Skills
Strong understanding of machine learning algorithms and statistical modeling
Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)
Experience with data structures, algorithms, and software engineering principles
Knowledge of data preprocessing and feature engineering techniques
Experience with SQL and databases
Familiarity with cloud platforms (AWS, Azure, or GCP)
Experience managing ML lifecycle using tools such as MLflow, Weights & Biases, Kubeflow, or similar platforms.
Experience with CI/CD pipelines and version control (Git)
Familiarity with ETL/ELT workflows and data orchestration platforms.
Preferred Skills
Experience with big data tools (Spark, Hadoop)
Knowledge of deep learning, NLP, or computer vision
Experience deploying models using REST APIs or microservices frameworks (FastAPI, Flask)
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Experience with LLM frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
Experience in model monitoring and drift detection
Soft Skills
Excellent communication and teamwork abilities.
Strong problem-solving and analytical skills.
Attention to detail and quality
Ability to work in cross-functional teams.
Qualifications
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.

AI & ML Engineer

Job Title: AI/ML Engineer
Experience: 3+ years
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.
Role Description
Responsible for designing and developing machine learning systems or AI products.
Implement appropriate ML algorithms and conduct experiments.
Possess strong programming skills, knowledge of data science, and expertise in statistics.
Work with data to create models, perform statistical analysis, and train and retrain models to optimize performance.
Responsibilities include designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.
Aim to build efficient self-learning applications and contribute to advancements in artificial intelligence.
Must possess exceptional skills in statistics and programming, along with a deep understanding of data science and software engineering principles to thrive in this position.
Skills
Proven experience as an AI or Machine Learning Engineer or similar role (data science, GenAI).
Passionate to work in Gen AI product development.
Understanding of LLMs, Vector DBs, Prompt Engineering etc.
Understanding of data structures, data modeling, and software architecture.
Deep knowledge of math, probability, statistics, and algorithms.
Ability to write robust code in Python, Java, and R.
Experience in version control using Github/Gitlab
Experience in working with cloud services like AWS/GCP/Azure.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
Excellent communication skills and ability to work in a team.
Outstanding analytical and problem-solving skills.
Soft Skills
Excellent communication and teamwork abilities.
Strong problem-solving and analytical skills.
Attention to detail and quality
Ability to work in cross-functional teams.
Qualifications
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.0