
▷ 15h Left Artificial Intelligence Engineer
2 days ago
Job Summary:
We are seeking a highly skilled and experienced Senior Machine Learning Engineer with
strong expertise in AI/ML, Generative AI, and AWS cloud services. The ideal candidate will
bring 6+ years of proven experience in developing, deploying, and scaling machine learning
and GenAI solutions. This role requires both hands-on technical excellence and the ability to
mentor junior engineers, while collaborating with cross-functional stakeholders in a client-facing capacity.
Key Responsibilities:
• Design, develop, and deploy scalable Machine Learning (ML) and Generative AI
(GenAI) solutions.
• Develop robust backend applications and APIs to support AI/ML workflows.
• Leverage AWS cloud services to build and manage ML/AI solutions.
• Implement ML algorithms and frameworks (e.g., Linear Regression, XGBoost) with
deep understanding of their mathematical foundations.
• Apply GenAI frameworks and AI Agent development for real-world business
solutions.
• Write clean, optimized, and efficient Python code (without AI assistance) for ML
model development and deployment.
• Collaborate with product managers, data engineers, and business stakeholders to
deliver AI-driven business value.
• Mentor junior engineers and provide technical leadership in solution design and
implementation.
• Operate in a client-facing capacity, ensuring smooth communication and delivery of
solutions.
Required Skills & Qualifications:
• 6+ years of hands-on experience in Machine Learning & AI solution development.
• Strong Python programming skills, with the ability to write code independently.
• Solid knowledge of machine learning algorithms, optimization techniques, and
internal mathematics.
• Hands-on experience with Generative AI (LLMs, AI Agents, Prompt Engineering,
Vector Databases, etc.).
• Proven expertise in backend development, API design, and application deployment.
• Experience with AWS cloud services (SageMaker, Lambda, ECS, S3, etc.) for ML/AI
workloads.
• Strong problem-solving, analytical, and communication skills.
• Experience as an Individual Contributor (IC) with some team/lead responsibilities.
• Ability to work in hybrid mode and manage client interactions effectively.
Good to Have:
• Exposure to MLOps tools and practices.
• Knowledge of data engineering workflows.
• Experience with scalable architecture and distributed systems.
This is onsite role for Hydrabad/Bengaluru, India.
Email: admin@azoca.io
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