Artificial Intelligence Engineer

Tekskills; Chennai District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Tekskills in Chennai is seeking an AI Engineer to design, train and deploy machine learning models for forecasting, recommendations, pricing optimization, fraud detection and demand planning.

You'll build LLM-powered solutions (RAG pipelines, agents), apply NLP and time series modeling to large enterprise datasets, implement end-to-end ML pipelines with CI/CD, containerization and cloud deployments on GCP/Azure/AWS, and partner with product teams to turn business problems into AI outcomes while

Qualifications

• Bachelor's or Master's in Computer Science, AI, Data Science, or related field.
• 3–7 years of experience in AI/ML engineering or applied data science (level dependent).

Responsibilities

• 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.

Skills

Python

ML/AI development

REST APIs

Cloud services

LLMs & NLP

MLOps

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

MLflow

Kubeflow

Airflow

GitHub Actions

Docker/Kubernetes

Spark/Ray

Job description

Title: AI Engineer

Experience: 3-7 years

Location: Chennai (UK Shift - Mandatory WFO)

Technical Skills

• Strong 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