Gen AI Engineer

Location: NCR/Bangaluru

Experience: 6+ years

Employment Type: Full-Time

Key Responsibilities:

· 4+ years of experience as a NLP and Python developer.

· Experience with Pandas, NumPy, Scikit, NLP a must have

· Key fundamentals in object-oriented design, data structures and systems.

· Ability to integrate multiple data sources into a single system.

· Familiarity with testing tools.

· Ability to collaborate on projects and work independently when required.

· Working knowledge of GitHub and Jira

· Ability to document requirements and specifications.

· Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.

· Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.

· Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation

· Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.

· Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.

· Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.

· Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.

Required Skills and Experience:

· Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.

· Experience with LLMs like Llama (1/2/3), Mistral, T5, Langchain or framework similar like Langchain)

· Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning

· Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation

· Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models

· Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.

· Experience leading the end-to-end design, development, and deployment of predictive modeling solutions

· Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc

· SQL skills with SQL Server and Spark experience is preferred but not necessary.

· Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks

· Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.

· Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment

· Experience with cloud platforms such as Azure, AWS, Databricks is preferred