AWS Bedrock

Tekskills Inc.; Mumbai; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Tekskills Inc. in Mumbai seeks a skilled AI/ML engineer to design, develop and deploy generative AI applications using AWS Bedrock. You will collaborate with data scientists, ML engineers and software developers to integrate AI capabilities into enterprise workflows.

Required are 3+ years in AI/ML, hands-on Bedrock experience, Python proficiency and knowledge of SageMaker, Lambda, API Gateway, DynamoDB and S3. Strong prompt engineering and MLOps practices are essential.

Qualifications

• Degree in CS/AI/ML or related field.
• 3+ years of AI/ML development focusing on generative AI.
• Hands-on with AWS Bedrock and foundation models.
• Proficiency in Python and ML frameworks.
• Experience with SageMaker, Lambda, API Gateway, DynamoDB and S3.
• Prompt engineering, model fine-tuning and inference optimization.
• Familiarity with MLOps and CI/CD for AI deployment.
• Ability to work with large datasets and optimize models.

Responsibilities

• Design, develop and deploy generative AI apps using AWS Bedrock.
• Engineer prompts and optimize RAG pipelines for production use.
• Integrate AI capabilities into enterprise workflows.
• Collaborate with data scientists, ML engineers and software developers.
• Monitor performance, run A/B tests and improve AI products.
• Ensure AI ethics, governance and security best practices.

Skills

Prompt engineering

AI/ML development

Python

Agile mindset

Problem-solving

Education

Bachelor's or Master's in CS/AI/ML

Tools

AWS Bedrock

SageMaker

Lambda

API Gateway

DynamoDB

S3

Job description

JD is below:

• Design, develop, and deploy generative AI based applications using AWS Bedrock.
• Proficiency in prompt engineering and RAG pipeline
• Experience in building Agentic Generative AI applications
• Fine-tune and optimize foundation models from AWS Bedrock for various use cases.
• Integrate generative AI capabilities into enterprise applications and workflows.
• Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to implement AI-powered solutions.
• Utilize AWS services (S3, Lambda, SageMaker, etc.) to build scalable AI solutions.
• Develop APIs and interfaces to enable seamless interaction with AI models.
• Monitor model performance, conduct A/B testing, and enhance AI-driven products.
• Ensure compliance with AI ethics, governance, and security best practices.
• Stay up-to-date with advancements in generative AI and AWS cloud technologies.

Required Skills & Qualifications:

• Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field.
• 3+ years of experience in AI/ML development, with a focus on generative AI.
• Hands-on experience with AWS Bedrock and foundation models.
• Proficiency in Python and ML frameworks.
• Experience with AWS services such as SageMaker, Lambda, API Gateway, DynamoDB, and S3.
• Experience with prompt engineering, model fine-tuning, and inference optimization.
• Familiarity with MLOps practices and CI/CD pipelines for AI deployment.
• Ability to work with large-scale datasets and optimize AI models for performance.
• Excellent problem-solving skills and ability to work in an agile environment.

Preferred Qualifications:

• AWS Certified Machine Learning – Specialty or equivalent certification.
• Experience in LLMOps and model lifecycle management.
• Knowledge of multi-modal AI models (text, image, video generation).
• Hands-on experience with other cloud AI platforms (Google Vertex AI, Azure OpenAI).
• Strong understanding of ethical AI principles and bias mitigation techniques.