Senior Machine Learning Engineer - Artificial Intelligence

Job Description :

We are looking for Engineers and Architects who are passionate about leveraging Generative AI and advanced ML techniques to solve complex, real-world problems. As a Senior Cloud AI/ML Architect, you will work at the intersection of innovation and impact - collaborating with cross-functional teams and customers to design, evangelize, and implement cutting-edge AI/ML solutions.

Key Responsibilities :

- Collaborate with AWS Account Managers, Solution Architects, and clients to identify and define high-impact AI/ML use cases.

- Design, prototype, and implement AI/ML and Generative AI solutions that address unique business challenges.

- Conduct customer workshops and deliver compelling demos to both technical and business audiences.

- Translate business problems into scalable AI/ML architectures using AWS and open-source

technologies.

- Develop reusable frameworks, reference architectures, and share best practices across teams.

- Stay current with emerging AI/ML technologies and incorporate them into solution designs.

- Mentor junior team members and contribute to a culture of innovation and technical

excellence.

Preferred Technical Qualifications :

- 10+ years of experience in design, implementation, or consulting across software,

infrastructure, or cloud platforms.

- Deep expertise in AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Rekognition).

- Strong programming skills in Python, TypeScript, Java, or equivalent.

- Proficient with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.

- Solid understanding of Serverless, Database, Analytics, and Cloud Security architecture.

- Experience applying machine learning models in a performance- and cost-optimized manner.

- Demonstrated ability to work in diverse environments including enterprises and startups.

- Portfolio of successful AI/ML implementations, particularly in Generative AI and LLMs.

Preferred Soft Skills :

- Collaboration: Effective in working with cross-functional teams and customers to drive

outcomes.

- Communication: Ability to explain complex technical concepts to varied audiences clearly.

- Problem-Solving: Strong analytical thinking with a creative approach to solving novel

problems.

- Adaptability: Keen interest in continuous learning and applying emerging AI technologies.

- Leadership: Proven experience mentoring teams and promoting innovation and best

practices.

Certifications (Preferred but not mandatory) :

- AWS Certified Solutions Architect Associate / Professional

- AWS Certified Machine Learning Specialty

- AWS Certified Data Analytics - Specialty

- AWS Certified AI Practitioner

- AWS Certified Developer - Associate

- AWS Certified Database - Specialty

- AWS Certified Security - Specialty