AI/Gen AI Developer

AI/Gen AI Developer
Greetings from TCS!!!
Walk in Drive planned on 12th September 2026 in TCS Kochi.
TCS has been a great pioneer in 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.
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Position: AI/Gen AI Developer
Experience: 4 to 12 years
Location: Kochi
JOB DESCRIPTION
Required Information
Details
1 Role*AI Engineer / AI Developer
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 developing APIs using Flask, FastAPI, or similar frameworks.
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.
Also please refer below link for downloading application form. If you don’t remember your password, please click forgot password. Fill application form and then download.
TCS iBegin
Please bring all the mandatory documents below in hard copy for the interview:
*Latest Copy of resume
*TCS Application form
*Original and Photocopy of Government ID proof (PAN or Adhaar)
*Passport Size photographs - 2
Professional Skills: Strong analytical, problem‑solving, communication, and ownership mindset.TCS Eligibility Criteria: *BE/B.tech/MCA/M.Sc./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.
Thanks & Regards
Amrutha

Work arrangement
No