Z-2835 | Lead – AI and Generative AI Engineer

• Notice Period-Immediate to 30 days
• Bavdhan, PUNE, work from office

Position Overview

This role involves building and deploying advanced AI solutions, with a particular focus on Generative AI and Large Language Models (LLMs). The candidate will contribute to the research, development, and implementation of innovative technologies for business applications and will be responsible for managing a Gen AI team.

Key Areas of Expertise

·        Proficiency in deep learning architectures such as RNN, LSTM, and Transformer models.

·        Knowledge of BERT (encoder-only), GPT (decoder-only), and FLAN T5 (encoder-decoder) models.

·        Experience with both open-source and closed-source LLMs.

·        Proficiency in orchestration tools like LangChain and LlamaIndex.

·        Hands-on experience with serving and inferencing frameworks such as Text Generation Inference (TGI) and vLLM.

·        Expertise in developing, evaluating, deploying, and monitoring LLM applications, including Retrieval-Augmented Generation (RAG), Agents, or LLM Fine-tuning.

·        Strong background in MLOps/LLMOps practices on major cloud platforms, specifically with Azure OpenAI and Azure DevOps.

Key Responsibilities

·        Conduct research in Generative AI, leveraging public and private datasets to solve business problems.

·        Act as a domain expert in large language models and NLP.

·        Collaborate with domain experts and AI modelers to develop models for investment-related applications.

·        Leverage prompt engineering, agents, and fine-tuning techniques for LLM development.

·        Validate models through benchmarking analysis and user engagement, and document models for internal validation.

·        Build and maintain MLOps/LLMOps pipelines for continuous monitoring and optimization of LLM applications.

·        Explore synthetic data generation techniques and other advanced methodologies.

·        Stay updated on the latest advancements in Generative AI and propose innovative solutions.

Generative AI Development Responsibilities:

·        Handle data collection, processing, and cleaning of text data or synthetic data for training LLMs.

·        Design and implement LLM models, tune hyperparameters, and evaluate model performance using held-out datasets.

·        Deploy LLM models to production, including packaging, creating REST APIs, and deploying on cloud platforms.

·        Create development and deployment pipelines to transform Generative AI proof-of-concepts into production-grade systems.

·        Conduct ongoing research into new machine learning algorithms and tools to design systems and conduct experiments.

·        Perform statistical analysis on models and fine-tune them based on test results, while maintaining and retraining systems as needed for optimal performance.

Team Lead Responsibilities

·        Manage and mentor a team of AI and machine learning engineers, providing direction to align project goals with business objectives.

·        Set clear expectations, assign tasks based on team members’ strengths, and ensure smooth collaboration within the team.

·        Facilitate team meetings, promote open communication, and support the professional development of team members through feedback and mentoring.

·        Coordinate with cross-functional teams and stakeholders, manage timelines, resolve challenges, and ensure the team stays focused on delivering innovative solutions that meet both client and business needs.