AI / ML Engineer

We are looking for a highly skilled AI / ML Engineer with strong hands-on experience in Generative AI, AWS Bedrock, LLM Agents, and Python-based AI development. The role involves designing, building, and deploying production-grade GenAI solutions while collaborating closely with cross-functional and client-facing teams.

This position is ideal for professionals who enjoy working on real-world AI use cases, building scalable AI systems, and translating business needs into intelligent, cloud-native solutions.

Requirements

Experience: 8+ Years (4+ Years in AI/ML)

Location: Hyderabad

Work Mode: Work From Office

Shift: General Shift

Employment Type: Full-Time (Permanent)

Notice Period: Immediate Joiners Preferred

Required Skills Experience

• 8+ years of overall experience with 4+ years in AI/ML development.
• Strong hands-on experience with AWS Bedrock, Generative AI models, and LLM Agents.
• Proficiency in Python (NumPy, Pandas, scikit-learn, LangChain, etc.).
• Experience building AI microservices, APIs, and cloud-based applications.
• Strong understanding of ML algorithms, NLP, embeddings, vector stores, and AI evaluation.
• Experience working in a service-based delivery model supporting multiple client projects.
• Strong communication, analytical, and problem-solving skills.

AI / ML Generative AI Development

• Design, build, and deploy GenAI applications and LLM-powered agents using AWS Bedrock.
• Develop prompt-engineered workflows, RAG pipelines, embeddings, and agentic automation solutions.
• Build and optimize scalable ML models using Python for production readiness.

AWS Cloud AI Platform Integration

• Work extensively with AWS services such as Bedrock, Lambda, S3, Glue, API Gateway, and DynamoDB for AI workflows.
• Integrate LLMs into existing applications using APIs, SDKs, and cloud-native architectures.
• Optimize model performance, latency, cost, reliability, and scalability on AWS.

Solution Engineering Delivery

• Understand client requirements and translate them into robust AI/ML solution designs.
• Build POCs, prototypes, and production-grade AI solutions across multiple client engagements.
• Support post-deployment activities including fine-tuning, enhancements, and version upgrades.

Collaboration Stakeholder Management

• Work closely with data engineers, product teams, and delivery managers to build cohesive AI-driven systems.
• Participate in requirement discussions, solution reviews, and architectural decision-making.
• Clearly communicate AI insights, model behavior, and recommendations to both technical and non-technical stakeholders.

Quality, Documentation Governance

• Maintain clean, well-documented code and follow model governance best practices.
• Ensure compliance with data privacy, security, and responsible AI guidelines.
• Monitor model performance and continuously improve AI pipelines and workflows.

About the Company

Our client is a global digital engineering and technology services organization delivering advanced cloud, data, and AI-driven solutions to enterprise customers. With a strong focus on innovation, scalability, and business impact, the organization works on cutting-edge AI, automation, and modern cloud transformation initiatives across multiple industries in a service-based delivery environment.

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