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Artificial Intelligence Global
2 months ago
Roles and Responsibilities :
As a Senior or Lead NLP & GenAI Scientist, you will collaborate closely with clients and cross-functional teams, taking a hands-on approach to rapidly prototype, iteratively build, comprehensively test, and seamlessly deploy innovative products powered by GenAI/LLM technology at scale.
Your responsibilities will also include blending research insights, technical skills, and business acumen to swiftly assess viability and translate cutting-edge concepts into client-ready deliverables.
What You Will Be Doing :
- NLP, Gen AI, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines.
- Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements.
- Work closely with other members in the design, development, and implementation of the ML model solutions.
- LLM Model Evaluation: Work closely with the team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT.
- Implement model optimizations to improve system efficiency.
- LLM, Gen AI Model Deployment : Work closely with the team for the deployment of machine learning models into production environments, ensuring reliability and scalability from managing CI/CD pipelines and containerization to deployment and maintenance in cloud or on-premises environments.
- Internal Collaboration : Collaborate closely with internal teams, business stakeholders to ensure smooth integration of machine learning models into production systems.
- Documentation : Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.
- Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance, and best practices in ML model development
- Assist in Problem Solving : Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
- Design prototypes and proofs of concept (POCs) to validate the feasibility and value of solutions before fullscale implementation.
- Utilize your deep expertise in LLM/GenAI technologies to develop complex agent frameworks to streamline and enhance workflows across various industries.
- Ability to identify relevant latest tool stacks and frameworks and experiment with them and share how it benefits the clients
Key Skills :
- 4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using LLMs.
- Demonstrated 4+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools and frameworks like LangChain etc.
- 5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
- 2+ years of experience with implementing information search and retrieval at scale (RAG applications), using a range of solutions ranging from keyword search to semantic search using embeddings.
- Strong background in vector databases, MLOps, CI/CD pipeline development, containerization, and deployment across various environments.
- Experience with any of the major cloud platforms like AWS, GCP, or Microsoft Azure and On-prem tool stack - Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM)
Nice to have :
- Experience with contributing to GitHub and open-source initiatives or in research projects and/or participation in Kaggle competitions.
- Excellent communication skills in English, capable of explaining complex technical details and LLM capabilities to both technical and non-technical stakeholders.
Education and Qualifications - B.E/B. Tech (Computer Science/Mechanical)
Other skill sets :
- Total 4-11 yrs of experience with 4-5 yrs of experience related to key skills, roles, and responsibilities in NLP and GenAI / LLM space.
Languages : Exceptional English Speaking and Writing abilities
