GenAI Engineer

Job description

**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