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Job details:
Job Title: AI/ML Engineer (LLM, MLOps, Cloud)
Location: Chennai (Work From Office)
Shift: UK Shift (Mandatory)
Experience: 3–7 Years
Job Summary
We are seeking a skilled
AI/ML Engineer to design, develop, and deploy scalable machine learning and AI-driven solutions. The role involves working on advanced use cases such as forecasting, personalization, fraud detection, and LLM-powered applications. You will collaborate with cross-functional teams to build intelligent systems and production-grade ML pipelines in a cloud-native environment.
Key ResponsibilitiesAI/ML Model Development - Design, train, and deploy machine learning and deep learning models for:
- Forecasting and demand planning
- Recommendation systems and personalization
- Pricing optimization and fraud detection
- Develop LLM-powered solutions such as:
- RAG (Retrieval-Augmented Generation) pipelines
- AI agents and copilots
- Apply NLP, predictive modeling, and time-series analysis on large datasets
Platform & Engineering - Build end-to-end ML pipelines (data ingestion → training → inference → monitoring)
- Implement MLOps practices:
- CI/CD for ML models
- Model versioning and lifecycle management
- Drift detection and performance monitoring
- Deploy solutions using cloud platforms (GCP preferred / Azure / AWS)
- Use containerization tools like Docker and Kubernetes
Data Engineering & Analytics
- Work with data engineering teams to process structured/unstructured data
- Perform feature engineering and optimize model performance
- Utilize distributed computing frameworks (e.g., Spark, Ray)
Business Collaboration
- Translate business requirements into scalable AI solutions
- Partner with product managers, architects, and stakeholders
- Support AI-driven insights and automation across enterprise ecosystems
Governance & Responsible AI
- Ensure compliance with security, privacy, and regulatory standards
- Improve model explainability, fairness, and auditability
- Follow enterprise-grade Responsible AI practices
Required SkillsTechnical Skills - Strong programming in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
- Experience building and deploying production-grade ML models
- Hands-on with cloud AI platforms (preferably GCP Vertex AI)
- Knowledge of:
- LLMs, embeddings, vector databases
- Prompt engineering and AI agents
- Experience with REST APIs, microservices, and event-driven systems
Data & Engineering
- Strong SQL and data warehousing knowledge
- Experience with MLOps tools (MLflow, Kubeflow, Airflow, GitHub Actions)
- Exposure to distributed data processing frameworks
Preferred Skills - Experience in domains like:
- Digital commerce
- Supply chain
- Pricing and distribution
- Exposure to agentic AI frameworks and autonomous workflows
- Knowledge of enterprise data governance and security
- Experience supporting large-scale AI products
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- 3–7 years of experience in AI/ML engineering or applied data science
Key Competencies
- Strong analytical and problem-solving skills
- Effective communication with technical and business teams
- Ability to work in a fast-paced, enterprise environment
- Attention to detail and data accuracy
Skills: pipelines,agents,data,pytorch,ml,models,enterprise,cloud,numpy,pandas,ai/ml,teams,python
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