Job Description & Summary:  

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. 

Responsibilities: 

• Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases 

• Conduct data exploration, feature engineering, model training, tuning, and performance evaluation 

• Collaborate with data engineers to develop robust data pipelines and integrate models into production systems 

• Work closely with client and deliver projects in the AI/ML space 

• Contribute to reusable assets, accelerators, and internal capability building 

• Develop and deploy AI solutions on cloud platforms (Azure/ AWS/GCP) using MLOps and containerization 

Mandatory skill sets: 

• 3+ years of experience in AI/ML engineering,  with experience in working in a cloud environment 

• Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks 

• Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI) 

• Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering 

• Strong understanding of autonomous agents, orchestration, and multi-agent systems 

• Excellent communication and stakeholder management skills across geographies 

Preferred skill sets: 

• Certifications in cloud platforms and AI/ML technologies 

• Exposure to enterprise-grade AI use cases in BFSI, healthcare, retail, or manufacturing 

• Knowledge of Responsible AI, data governance, and compliance frameworks 

• Exposure to Agentic AI, Gen AI 

Years of experience required: 

3 to 12 years 

Education qualification: 

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)