Role Overview

We are seeking a highly motivated AI/ML Engineer to join our Emerging Technology Practice. In this role, you will design, develop, and deploy advanced AI/ML and Generative AI solutions that address real-world business challenges.

You will work closely with business stakeholders, data scientists, and engineering teams to translate problem statements into robust, production-ready AI systems. This role is ideal for a hands-on AI/ML professional who enjoys working across the full model lifecycle from experimentation to deployment.

Key Responsibilities

• Design and develop AI-powered solutions using traditional Machine Learning and Generative AI techniques, including prompt engineering, fine-tuning, and embeddings.
• Build intelligent AI applications that support analytical, decision-making, and interactive use cases.
• Develop and maintain end-to-end data pipelines for data ingestion, transformation, validation, and quality assurance to support model training and inference.
• Support experimentation, prototyping, and iterative improvement of AI models across different stages of solution maturity.
• Implement evaluation, monitoring, and observability mechanisms to assess model accuracy, performance, drift, reliability, and generative output quality.
• Collaborate with software engineers, data scientists, and solution architects to ensure effective design and smooth transition of AI solutions into production.
• Contribute to deployment workflows and operationalization of AI models in partnership with engineering and platform teams.
• Stay up to date with the latest advancements in Machine Learning, Generative AI, evaluation methodologies, and emerging AI tools and frameworks

Requirements

• 4+ years of hands-on experience in AI/ML development, data science, or intelligent application development.
• Strong proficiency in Python and experience with modern ML/AI libraries such as scikit-learn, PyTorch, TensorFlow, and GenAI frameworks/APIs.
• Solid understanding of machine learning fundamentals, including model training, validation, performance tuning, and evaluation.
• Practical experience with Generative AI workflows such as prompt design, embeddings, and output evaluation.
• Ability to work in cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
• Strong problem-solving skills and ability to work in evolving, unstructured environments

Qualifications &Skills

• Bachelor’s degree in Engineering (Computer Science or related field).
• Experience building APIs or backend services using frameworks such as FastAPI or Django is a plus.
• Familiarity with vector databases, retrieval-based techniques (RAG), and similarity search is a plus.
• Exposure to MLOps practices, CI/CD pipelines for model delivery, and model monitoring is desirable.
• Strong written and verbal communication skills.
• Demonstrated ability to take ownership and deliver scalable, high-quality AI solutions