Lead Assistant Manager - AI Engineer

Required Experience: 3 - 8 years

Skill

• NLP
• AI
• Deep Learning
• Machine Learning
• Python Programming

Minimum Qualification

• BTECH

Overview: We are seeking a highly skilled and experienced AI Engineer to join our dynamic team. The ideal candidate will be passionate about pushing the boundaries of AI innovation, with a deep understanding of Python development and a proven track record in the Generative AI space.

Key Responsibilities:

• 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.
• 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.
• 3+ years of experience in data science, building hands-on ML models from tier 1 or 2 colleges.
• 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
• 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

Workflow Type

• Digital Solution Center