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AI/ML Computational Science Manager
AI/ML Computational Science Manager
The AI/ML Computational Science Manager will lead the development of cutting-edge AI solutions, leveraging Machine Learning, Deep Learning, NLP, and GenAI techniques to build innovative assets. This role involves driving innovation through patents, managing teams, and ensuring adherence to best practices in AI asset development, including CI/CD and model monitoring.
About the role
About the Role
As an AI/ML Computational Science Manager within the AI team, you will be instrumental in developing cutting-edge AI solutions. This role involves building innovative assets by leveraging the latest technologies and advanced AI techniques, specifically focusing on Machine Learning, Deep Learning, NLP, and GenAI-based methods. You will be responsible for creating products and solutions that enhance business processes and provide a competitive edge. The position requires adherence to world-class frameworks and standard development practices, with an emphasis on designing generic and scalable solutions.
What would you do?
- Drive the development of cutting-edge AI solutions using Machine Learning, Deep Learning, NLP, and GenAI-based techniques.
- Build innovative assets that impact the efficiency of business processes and differentiate the company.
- Leverage world-class frameworks, employ standard development practices, and design generic products/solutions.
- As an AI Lead, drive innovation through patenting, creating new assets, and enhancing existing ones.
- Analyze and solve moderate to complex problems using AI.
- Identify and build end-to-end AI assets including industrialization of assets.
- Drive innovation via patents and publications.
- Manage, mentor, and guide teams.
- Articulate leadership goals and drive the team to reach their vision.
- Follow best practices of AI asset development, including CI/CD, model monitoring, and responsible AI principles.
What are we looking for?
- 10 – 13 years of experience in relevant fields.
- Proficiency in Data Analytics, especially with Unstructured Data.
- Expertise in Natural Language Processing (NLP), Machine Learning, and Deep Learning.
- Experience with Large Language Models (LLMs), both Cloud and Open Source.
- Strong programming skills in Python.
- Ability to perform under pressure and establish strong client relationships.
- Skills in managing multiple stakeholders and understanding business challenges to drive business impact.
- Understanding of design patterns and exposure to designing large product architectures.
- Familiarity with Agile process / Sprint Planning / Product Management.
- Proficiency in DevOps and MLOps tools (e.g., MLflow, DVC, Kubeflow, SageMaker Pipelines).
- Experience with Cloud Technologies (AWS, Azure, GCP – including SageMaker, Vertex AI, Azure ML).
- Good understanding of SQL and NoSQL databases.
- Strong capabilities in Strategic Planning.
- Passion for staying current with emerging technologies in AI and ML (e.g., LangChain, LlamaIndex, vector databases like Pinecone/FAISS, Hugging Face Transformers, Prompt Engineering, ONNX, FastAPI, Docker, Kubernetes, TensorFlow Serving, TorchServe, Arize AI, WhyLabs).
- Any Graduation.