AI/Gen AI Developer

Tata Consultancy Services; Ernakulam; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services Kochi is seeking a hands-on AI/ML professional with 4–12 years of experience to design, build and deploy ML models in production. The role involves data prep, feature engineering, model evaluation, and collaboration with cross-functional teams across cloud and API-enabled architectures.

Candidates should have strong Python, ML/NLP skills, experience with NumPy/Pandas/Scikit-learn, and familiarity with MLOps, CI/CD, and agile delivery environments.

Qualifications

• Strong hands-on Python development for AI/ML solutions.
• Experience building, training, validating and deploying ML models.
• Knowledge of ML algorithms: classification, regression, clustering, forecasting.
• Data preprocessing, feature engineering, EDA, evaluation and tuning.
• Understanding of NLP concepts and SQL for structured/unstructured data.
• Experience deploying AI/ML models in production and API/microservices.
• Knowledge of MLOps: versioning, CI/CD, monitoring, retraining.

Responsibilities

• Design, develop, train, validate and deploy AI/ML models.
• Gather data, perform preprocessing and feature engineering.
• Build scalable ML pipelines for data ingestion and deployment.
• Collaborate with data engineers, software teams and cloud squads.
• Integrate models with enterprise apps via APIs and microservices.
• Improve model performance through experiments and tuning.
• Implement MLOps practices including monitoring and lifecycle mgmt.
• Ensure reliability, explainability, security and compliance.
• Support testing, deployment and ongoing enhancements.
• Follow Agile practices and coding standards.

Skills

Python

Machine Learning

Data Science

NLP

SQL

Model Development

MLOps

Cloud

REST APIs

Agile delivery

Education

BE/B.Tech

MCA

MSc./MS

Tools

NumPy

Pandas

Scikit-learn

Docker

Kubernetes

MLflow

Airflow

Kubeflow

Databricks

Job description

Walk in Drive planned on 12th September 2026 in TCS Kochi.

TCS has been a great pioneer in the feeding the fire of young Techies like you. We are a global leader in the technology arena and there’s nothing that can stop us from growing together. Your role is of key importance, as it lays down the foundation for the entire project.

Make sure you have a valid EP number before interview.

To create an EP Number, please visit https://ibegin.tcs.com/iBegin/register

Kindly complete the registration if you have not done it yet.

Experience: 4 to 12 years

JOB DESCRIPTION

Required Information

Details

2 Required Technical Skill Name* Python, Machine Learning, Data Science, NLP, SQL, Model Development, MLOps, Cloud

3 Location of Requirement *Kochi, India

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Strong hands‑on experience in Python development for AI/ML solutions.
• Experience in building, training, validating, and deploying Machine Learning models using libraries such as NumPy, Pandas, Scikit‑learn, or similar.
• Strong understanding of Machine Learning algorithms, including classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.
• Experience in data preprocessing, feature engineering, exploratory data analysis, model evaluation, and performance tuning.
• Good understanding of Natural Language Processing (NLP) concepts and applications.
• Good knowledge of SQL and experience working with structured and unstructured data.
• Experience in developing and deploying AI/ML models in production environments.
• Knowledge of REST APIs, microservices‑based integration, and enterprise application integration.
• Understanding of MLOps concepts, including model versioning, monitoring, CI/CD, retraining, and lifecycle management.
• Hands on experience with at least one major cloud platforms (AWS, Azure, GCP)
• Strong analytical, problem‑solving, and communication skills.
• Experience working in Agile delivery environments and following software engineering best practices.

Good-to-Have

• Hands‑on experience in Generative AI (GenAI) solutions and enterprise AI applications.
• Experience working with Large Language Models (LLMs) and transformer‑based architectures.
• Knowledge of Prompt Engineering, prompt optimization, and prompt evaluation techniques.
• Experience developing RAG (Retrieval Augmented Generation) solutions and LLM‑integrated pipelines.
• Exposure to AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar.
• Experience with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search.
• Hands‑on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Exposure to GANs, Diffusion Models, and advanced Generative AI techniques.
• Experience with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI APIs, or similar AI platforms.
• Experience building AI solutions in domains such as Computer Vision, Industrial Analytics, Document Intelligence, Conversational AI, or Intelligent Automation.
• Exposure to tools such as Docker, Kubernetes, MLflow, Airflow, Kubeflow, Databricks, or similar.
• Understanding of Responsible AI, Explainable AI, Fairness, AI Governance, Security, and Data Privacy concepts.

Responsibility / Expectations

1 Design, develop, train, validate, and deploy AI/ML models and intelligent applications.

2 Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis activities.

3 Build and optimize machine learning solutions for prediction, recommendation, forecasting, classification, and NLP use cases.

4 Develop scalable AI/ML pipelines covering data ingestion, model training, evaluation, deployment, and monitoring.

5 Collaborate with data engineers, software engineers, product teams, business stakeholders, and cloud teams to deliver AI solutions.

6 Integrate AI/ML models with enterprise applications using APIs, microservices, and cloud‑native architectures.

7 Optimize model performance through experimentation, hyperparameter tuning, performance benchmarking, and continuous improvement.

8 Implement MLOps best practices including model versioning, CI/CD, monitoring, retraining, and lifecycle management.

9 Ensure model reliability, explainability, security, and compliance with organizational standards.

10 Support testing, troubleshooting, production deployments, and ongoing enhancements of AI solutions.

11 Follow Agile methodology, coding standards, documentation practices, and software engineering best practices.

Professional Skills: Strong analytical, problem‑solving, communication, and ownership mindset.TCS Eligibility Criteria: *BE/B.tech/MCA/MSc./MS with minimum 3 years of relevant IT-experience post

Qualification. *Only Full-Time courses would beconsidered.*Candidates who have attended TCS interview in the last 1 months need not apply.Referrals are always welcome!!!Kindly don't apply if already attended interview in last 1 months.