Solving challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.) using AI-powered solutions for a company
Requirements
- Hands-on expertise in building and deploying enterprise-grade AI/ML systems
- Understanding of the AI lifecycle: data, training, evaluation, deployment, and monitoring
- Experience with distributed systems, streaming data, data lakes, and real-time decision engines
- Generative AI & LLMs: Experience with LLMs, multi-modal models, RAGs, and agentic AI systems
- Proficiency in AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML)
- Strong programming skills (Python, Java, Go)
- System-level thinking: Understanding and optimizing distributed AI architectures
Responsibilities
- AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications
- Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems
- System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications
- Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations
- Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers
- Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
- Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs
Other
- Bachelor's or Master's degree in Computer Science or related field
- Excellent communication skills
- 8+ years in software engineering, with 4+ years in AI/ML solutions or platform development
- Prior experience in a technical lead role for AI/ML projects
- Eager to translate business needs into innovative AI solutions and contribute to the company's digital transformation
