Generative AI Engineer

1 week ago

Mumbai, Maharashtra, India Tata Consultancy Services Full time

Role - Gen AI Architect

Required Technical Skill Set (Must Have) - Gen AI / LLM /Agentic AI

Desired Experience Range - 10+ years

Must Have Skills


• Gen AI


• Experience in LLMs, Embedding Models, Prompt Engineering


• Knowledge of statistical programming languages like Python


• Good applied statistical skills


• Good knowledge of machine learning algorithms


• Proficiency in handling imperfections in data & generating insights and patterns.


• Experience with Data Visualization Tools


• Fine tuning of LLM


• Evaluation Framework (RAGAS, ROUGE, BLUE Scrore)


• Autoencoding model (Encoder: ROBERTA/ BERT/ DistilBERT)


• Langsmith framework


• Autoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ CodeGen/ OPT/ PaLM


• RAG/Multimodal Architecture using Langchain/ LlamIndex


• MCP Architecture


• Experience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. )


• Experience in Model deployment, LLMOps, Scalability and Performance


• Fine tuning of LLM


• AI ML exp.


• Candidate has exp. in Transformer Architecture (Encoder and decoders)


• Knowledge Graph implementation (If anyone has created knowledge graph, that's good)

Good to Have Skills


• Excellent Communication Skills


• Strong Software Engineering Background (Productionizing the models)


• Hands-on experience with data science tools


• Problem-solving aptitude


• Analytical mind and great business sense

Responsibility of / Expectations from the Role


• Data mining or extracting usable data from valuable data sources.


• Using machine learning tools to select features, create and optimize predictive models.


• Carrying out preprocessing of structured and unstructured data


• Enhancing data collection procedures to include all relevant information for developing analytic systems.


• Processing, cleansing, and validating the integrity of data to be used for analysis.


• Analyzing large amounts of information to find patterns and solutions.


• Developing prediction systems and machine learning algorithms


• Ability to use LLMs to build GenAI powered solutions.


• Presenting results in a clear manner


• Propose solutions and strategies to tackle business challenges.


• Collaborate with Business and IT teams.


• Designing and developing machine learning and deep learning systems


• Knowledge of productionizing the ML and DL applications and monitoring

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