Specialist - Data Sciences

Location: Hyderabad

Experience: 5–7 Years

About The Role We are seeking a

Data Sciences Specialist with 5–7 years of experience in

AI/ML and Generative AI engineering . The role focuses on building and operationalizing production-grade AI/ML and GenAI services using

Python , with an emphasis on reusable platform capabilities, operational readiness, and reliable production systems.

Job Description The candidate will contribute across the full

AI software development lifecycle , designing, developing, and implementing large-scale machine learning and GenAI applications. Strong software engineering practices and the ability to build production-ready AI services are essential. The role also requires a platform-oriented approach, developing reusable components, templates, patterns, reference implementations, and accelerators that can support multiple teams. The candidate will contribute to monitoring, telemetry, production maintenance, troubleshooting, and reliability-focused practices for AI solutions. Experience with enterprise AI/ML or GenAI platforms, LLM-based solutions, cloud ML tooling, and MLOps practices is beneficial, particularly in regulated or enterprise environments. Key Responsibilities

• Design, develop, and implement large-scale ML and GenAI applications across the AI software development lifecycle.
• Build and operationalize production AI services using Python and strong software engineering practices.
• Develop reusable AI/ML components, templates, patterns, and platform capabilities for multiple teams.
• Ensure AI solutions are operationally ready with appropriate monitoring and telemetry.
• Support production maintenance, troubleshooting, reliability, and hardening of AI services.
• Contribute to enterprise AI/ML or GenAI platform capabilities and reference implementations.
• Work with LLMs and generative AI technologies where applicable.
• Collaborate with engineering teams to support scalable adoption of AI capabilities.

Required Skills

• AI/Generative AI
• Machine Learning – AIOps
• AI/GenAI Engineering
• Python
• Production AI/ML service development
• Machine Learning and GenAI application development
• AI monitoring, telemetry, and operational readiness
• Software engineering and production troubleshooting

Preferred / Good To Have

• Master's degree in Computer Science, Computer Engineering, Technology, Information Systems, MIS, Engineering, or a related technical discipline, or equivalent experience/training.
• Experience building AI/ML or GenAI platform capabilities in regulated or enterprise environments.
• Experience with LLMs such as OpenAI GPT, Google Gemini, or Llama.
• Exposure to cloud ML tooling and MLOps practices.
• Airline industry experience.
• Experience with AI registries, tool/agent registries, grounding, retrieval, memory, context budgeting, production hardening, and reference implementations. Mandatory Skills
• AI/GenAI Research
• AI/Generative AI
• Machine Learning – AIOps Candidate Profile The ideal candidate should have 5–7 years of experience delivering

AI/ML and GenAI solutions , with strong Python and production engineering expertise. The candidate should have a platform mindset, understand operational readiness for AI systems, and be comfortable working on enterprise-scale solutions and production environments. Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients