Title: AI Engineer

Experience: 3-7 years

Location: Chennai (UK Shift - Mandatory WFO)

Technical Skills
Robust proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow, scikit learn).
Experience building and deploying production ML models.
Hands on experience with cloud AI services (such as GCP Vertex AI).
Knowledge of LLMs, embeddings, vector databases, Google ADK and prompt engineering.
Experience with REST APIs, microservices, and event driven architectures.
Data & Engineering

Solid understanding of SQL and data warehousing concepts.
Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, GitHub Actions, etc.).
Experience with distributed data processing.

Job Description:
Design, train, and deploy machine learning and deep learning models for forecasting, recommendations, personalization, pricing optimization, fraud detection, and demand planning.
Develop LLM powered solutions (RAG pipelines, agents, copilots) using internal and external data sources.
Apply NLP, time series analysis, and predictive modeling to large scale enterprise datasets.
Platform & Engineering
Build and maintain end to end ML pipelines (data ingestion, training inference monitoring).
Implement MLOps practices including CI/CD, model versioning, drift detection, and performance monitoring.
Deploy AI solutions using cloud native services (GCP (preferrerd), Azure or AWS)



with containerization (Docker/Kubernetes).
Data & Analytics
Partner with data engineers to curate, clean, and transform structured and unstructured data at scale.
Optimize feature engineering and model performance using distributed computing frameworks (Spark, Ray, etc.).
Business & Stakeholder Collaboration
Work closely with product managers, architects, and business leaders to translate business problems into AI solutions.
Support AI enablement across vendor and reseller ecosystems through insights and automation embedded in Xvantage.
Governance & Responsible AI
Ensure models comply with security, privacy, and responsible AI standards.
Improve model explainability, fairness, and auditability for enterprise and regulatory needs.
Required Qualifications

Education & Experience
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
3 to 7 years of experience in AI/ML engineering or applied data science (level dependent).
Preferred Qualifications

Experience in digital commerce, supply chain, pricing, or distribution domains.
Exposure to agentic AI frameworks and autonomous workflows.
Knowledge of enterprise scale data governance and security practices.
Experience supporting AI products used by thousands of users globally

📌 Artificial Intelligence Engineer (Chennai)
🏢 Tekskills
📍 Chennai