AI ML - (Artificial Intelligence) & (Machine Learning)

Tata Consultancy Services; Hyderabad; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading IT services firm in Hyderabad is seeking an Assistant Manager specializing in AI and ML. The role involves developing scalable AI solutions, fine-tuning AI/ML models, and managing multi-agent systems. Candidates should have strong programming skills in Python and experience with cloud platforms like AWS or Google Cloud. This full-time position offers opportunities in business development and general business functions within a dynamic environment.

Qualifications

• Experience in prompt engineering and fine-tuning of AI/ML models.
• Strong understanding of statistical methods and experimental design.
• Familiarity with MLOps practices for continuous integration and deployment.

Responsibilities

• Develop end-to-end scalable, optimized enterprise AI solutions.
• Engage in prompt engineering and fine-tuning of models, including Generative AI.
• Implement practical hands-on fine-tuning and optimization of models.

Skills

Proficient in Agentic AI, GenAI, and LLM technologies

Strong programming skills in Python

Experience in NLP tools (Word2Vec, NLTK, SpaCy, etc.)

Hands-on experience developing AI agents

Familiarity with cloud platforms (Azure, AWS, Google Cloud)

Experience with Docker for container deployment

Understanding of MLOps practices

Familiarity with NoSQL, SQL, and vector databases

Experience in prompt fine-tuning and optimization

Tools

Docker

Kubernetes

Python memory management tools (Scalene, Filprofiler)

NLP frameworks (BERT, GloVe, etc.)

Job description

AI ML – (Artificial Intelligence) & (Machine Learning)

Assistant Manager @ Tata Consultancy Services | Recruiting Expertise

JD / Skillset

Key Responsibilities :-

• Develop end-to-end scalable, optimized enterprise AI solutions.
• Engage in prompt engineering and fine-tuning of AI/ML models, including Generative AI (GenAI) and Large Language Models (LLMs), as well as building and managing multi-agent systems.
• Implement practical hands‑on fine‑tuning, transfer learning, and optimization of Transformer architecture-based deep learning models.

Technical Skills

• Proficient in Agentic AI, GenAI, and LLM technologies, with experience in NLP tools such as Word2Vec, NLTK, SpaCy, BERT, GloVe, Autogen, Semantic Kernel, Langchain, and Langraph.
• Hands on development experience with development of AI agents.
• Familiarity with either of cloud platforms like Azure, AWS or Google Cloud.
• Strong programming skills in Python, with experience in frameworks such as Flask for lightweight applications and FastAPI for API development.
• Proficient in using Docker for container deployment and deploying ML models on Kubernetes clusters.
• Experience with NoSQL, SQL, and vector databases.
• Strong understanding of statistical methods and experimental design.
• Familiarity with MLOps practices for continuous integration and continuous deployment (CI/CD) in machine learning.
• Experience in prompt fine tuning and performance optimization.
• Experience using Python memory management tools like Scalene or Filprofiler or similar.
• Experience in any of the frameworks like Langchain, Langraph etc.
• Familiarity with packages such as python‑pptx, pymupdf to read PPTX or PDF documents. This has to be complimented with hands‑on experience integrating OpenAI's GPT models with such Python applications.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Business Development, General Business, and Other

Industries

• IT Services and IT Consulting, Software Development, and IT System Testing and Evaluation