Gen AI/ML Engineer

Job highlights

• Location: Bangalore / Noida/Hyderabad/ Gurgaon . Work Type: Hybrid . Job Type: Full Time
• Demonstrated experience working across the full AI / ML project lifecycle,from business requirements analysis to model deployment and productization. .
• Excellent communication and collaboration abilities,with experience working in cross-functional and agile teams

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.

Position: Gen AI/ML Engineer

Location: Bangalore/Noida/Hyderabad/ Gurgaon

Work Type: Hybrid

Job Type: Full Time

• We are seeking a highly skilled and motivated AI/ML Engineer to join our team.
• The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects.
• As an AI/ML Engineer, you will be responsible for designing, implementing, and optimizing machine learning models, AI applications, and algorithms to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to develop innovative solutions that drive business growth.

Requirements:

• Bachelor s or master s degree in Computer Science, Data Science, or a related technical discipline.
• 10+ years of overall software development experience, including 3+ years of hands-on experience in machine learning or AI application development, with a proven track record of delivering production-grade solutions.
• Strong programming proficiency in Python, with demonstrated experience in API development using FastAPI or Flask.
• Backend development experience in C# or Java is considered an added advantage.
• Solid experience developing AI solutions within the AWS ecosystem, including hands-on use of services such as Amazon Bedrock, SageMaker, Lambda, API Gateway, and S3.
• Practical knowledge and implementation experience with Large Language Models and Generative AI frameworks such as LangChain, LlamaIndex, or custom RAG architectures.
• In-depth understanding of RAG systems, including embedding generation, document chunking, retrieval, ranking, and response synthesis.
• Experience with vector databases such as Pinecone, FAISS, or OpenSearch, as well as text embeddings and prompt engineering, is an added advantage.
• Strong understanding of cloud security, including OAuth 2.0-based authentication, IAM policies, secure API design, and data protection practices.
• Familiarity with DevOps practices and tools, including CI/CD pipelines, Docker, and Infrastructure as Code tools such as CloudFormation, AWS CDK, or Terraform.
• Proficiency in relational databases such as SQL and strong understanding of data modelling.
• Solid grasp of machine learning algorithms and techniques, including deep learning architectures.
• Skilled in data preprocessing, feature engineering, and data manipulation using modern data science tools and libraries.
• Demonstrated experience working across the full AI/ML project lifecycle, from business requirements analysis to model deployment and productization.
• Practical experience using AI-assisted engineering tools such as GitHub Copilot or similar capabilities to improve productivity, code quality, documentation, testing, and development efficiency.
• Strong understanding of responsible AI usage in software and AI/ML engineering, including validation of AI-generated outputs, secure coding practices, data privacy, explainability, and adherence to enterprise standards.
• Strong analytical and problem-solving skills, with a structured approach to debugging, model evaluation, performance tuning, and optimization.
• Excellent communication and collaboration abilities, with experience working in cross-functional and agile teams.

People Skills:

• Ability to translate complex business problems into technical challenges that can be solved using data science, machine learning, and AI techniques.
• Ability to communicate technical ideas, model outcomes, and AI/ML solution approaches effectively to non-technical audiences.
• Ability to work effectively in a team-oriented environment.
• Curious and open-minded attitude toward new approaches, technologies, and methodologies.
• Strong ownership mindset with the ability to drive initiatives from concept through delivery.

TekWissen Group is an equal opportunity employer supporting workforce diversity

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.