GenAI Engineer

Key Responsibilities

• 5+ 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.
• 5+ years of experience in data science, building hands-on ML models.
• 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
• 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