Data Science GenAI operations

Key Responsibilities and Technical Skills

Job Type: Onsite (Kochi,Kerala)

Preference : 2-5 Years (BTECH,MTECH,BCA,MCA)

Package : As per Industry Standards

Machine Learning & AI

• Scikit-learn, TensorFlow, PyTorch, Amazon Bedrock, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• AI Engineering: Prompt Engineering, Fine-Tuning, AI Agents, Amazon Bedrock Knowledge Bases, and Guardrails.
• Model Development & Deployment: AWS SageMaker and AWS Batch.
• Experiment Tracking & Model Registry.
• Workflow Orchestration: Apache Airflow.
• Data Storage: AWS S3.
• Cloud Platform: Amazon Web Services (AWS).
• DevOps & CI/CD: Git and GitHub Actions.

Good-to-Have Skills

• Vector Databases.
• Data Engineering Skills.
• Visualization & Analytics: Tableau, Power BI, Datadog, and related tools.

Required Qualifications

• Proven experience working with Windows and Linux operating systems in production environments.
• Hands-on experience managing on-premises servers, Kubernetes clusters, and Docker containers.
• Strong understanding of Site Reliability Engineering (SRE) and DevOps practices.
• Familiarity with monitoring and debugging tools such as Datadog.
• Ability to troubleshoot complex issues in distributed systems.
• Experience with CI/CD pipelines for application deployment.
• Familiarity with AWS cloud platforms.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience supporting production machine learning or data science model deployments.
• Basic understanding of Python for operational support and scripting.
• Familiarity with OT/IT data bridging, using Ignition to stream robotics and PLC telemetry into cloud environments or enterprise time-series databases such as InfluxDB, Prometheus, and AWS Timestream.
• Familiarity with machine learning model lifecycle concepts is an advantage but not required.

Industry

• Information Technology & Services

Employment Type

Full-time

Pay: ₹608,000.00 - ₹1,500,000.00 per year

Work Location: In person