AI Solutions Developer

1 week ago

Mumbai, Maharashtra, India beBeeResearch Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead AI Researcher

We are looking for a seasoned AI researcher to join our team. As a key member of our research group, you will be responsible for developing and implementing cutting-edge AI solutions that drive business growth.

This role involves working closely with cross-functional teams to design and build large-scale production AI systems that meet the needs of our clients. You will be expected to stay up-to-date with the latest advancements in AI and machine learning, applying this knowledge to improve our existing solutions and develop new ones.

The ideal candidate will have a strong background in AI research and development, with experience in building and deploying complex AI models at scale. They should be able to communicate effectively with both technical and non-technical stakeholders, and have a proven track record of delivering high-quality results under tight deadlines.

Key Responsibilities:

- Design and implement large-scale production AI systems
- Develop and deploy complex AI models at scale
- Collaborate with cross-functional teams to integrate AI solutions into our products and services
- Stay up-to-date with the latest advancements in AI and machine learning
- Communicate effectively with both technical and non-technical stakeholders

Requirements:

- 12+ years of experience in AI research and development
- Strong background in computer vision or NLP, with expertise in LLMs and fine-tuning
- Experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale
- Expertise in Python and knowledge of its standard and AI-related libraries
- Strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency
- Experience mentoring and guiding junior engineers, sharing expertise to uplift team knowledge

Nice-to-Haves:

- Experience with other languages
- Familiarity with Docker and Kubernetes for efficient service deployment
- Experience with a variety of platforms, frameworks, and tools in the AI and machine learning ecosystem

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