Job Summary

Role Overview:

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.

We are currently seeking a Systems Integration Advisor to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

Requirements

- Bachelors or masters 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 solid 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.

📌 Systems Integration Advisor (Noida)
🏢 NTT DATA Business Solutions
📍 Noida