AI / ML Developer (Senior) with skills AI/ML Development, Python, GCP-Apps, Tensor Flow, Pytorch, Large Language Models (LLM) for location Noida, India
Responsibilities:
- Assist in the development and maintenance of the AI Lab’s global sandbox platform.
- Ensure the platform is effectively used for experimenting with AI applications.
- Contribute to the continuous improvement of the platform based on user feedback and technological advancements.
- Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment.
- Provide technical guidance and support to teams using the sandbox for AI product development.
AI Development and Quality:
- Optimize and fin-tune AI models for performance, scalability, and accuracy.
- Assist in the technology aspects of the structured AI product incubation and acceleration program.
- Ensure AI Products and experiments are developed in alignment with core risk, data protection, technology risk management policies, and regulations.
- Contribute to the implementation of rigorous quality assurance processes to maintain the highest standards of AI solutions.
- Work on the delivery of high-quality AI products, continuous improvement, experimentation, and development of AI expertise.
- Collaborate with cross-functional teams, including technology, AI, and business stakeholders, to integrate AI solutions into products and services.
- Work with external partners, including higher education institutions, start-ups, and hyperscale’s expert teams and government agencies.
- Contribute to a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.
Who we are looking for:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience (5 years or more) in developing and deploying AI models and algorithms.
- Strong technical background in data, AI, and modern cloud infrastructure.
- Excellent programming skills in languages such as Python, R.
- Experience with machine learning frameworks and libraries (e.g., LLM frameworks, Computer Vision, NLP frameworks, Tensor Flow, PyTorch, scikit-learn).
- Knowledge of data preprocessing, feature engineering, model evaluation, MLOps, LLMOps techniques.
- Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure).
- Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.
- Ability & Passion for innovation and a drive to position at the forefront of AI in the insurance industry.
- 6-8 Years
- Python, GCP-Apps, Tensor Flow, Pytorch, Large Language Models (LLM)