Artificial Intelligence and Machine Learning Developer

EA Technical(AI/ML)

Area(s) of responsibility

About Birlasoft:
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

1.    About the Job –Proficiency in Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG).
i.             Knowledge of the leading LLMs. Fine-tuning models using Python libraries like Hugging Face Transformers or OCI's SDK to adapt them for domain-specific tasks

2.    Job Title – AI/ML Developer
3.    Location: Bachelor's degree in Computer Science, Information Technology, or related field.

4.    Educational Background – Any Graduate or PG
5.    Key Responsibilities – 
JOB DESCRIPTION - AI / ML Engineer

Proficiency in Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG).
i.             Knowledge of the leading LLMs. Fine-tuning models using Python libraries like Hugging Face Transformers or OCI's SDK to adapt them for domain-specific tasks
ii.            NLP skills like sentiment analysis, entity extraction, and text classification
iii.           RAG expertise – Understanding of Vectorization, embeddings. Working with OpenSearch, leveraging Oracle Database 23ai's vector capabilities.Experience with Prompt Engineering, Content Moderation Guardrails, and Handling Context Retention in Multi-Turn Interaction
iv.           Advanced prompt engineering techniques, such as chain-of-thought prompting
v.            Content Moderation: PII detection, toxicity scoring, custom filters
vi.           Context Retention: expertise in managing session states, Redis Caching, multi – turn conversations.Tools Orchestration, Function Calling, Custom API Endpoints, SQL Tools for Database Queries, and Agent Networks for Multi-Stage Workflows

Experience Level

Entry Level