Applied AI/ML Software Engineer

Location: Noida, India

Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.

Position Summary

Taking ideas from PoC/MVP to production in close partnership within MCS, with CDI CTO organization and relevant Thales entities. You will operate within a small, multidisciplinary engineering team, evaluating emerging technologies, maintaining a Tech Radar of risks/opportunities, and deliver evidence-driven solutions under real production platform constraints.

• Collaborate closely with stakeholders across product teams, marketing teams and engineering teams to define AI/ML use cases, translate business problems into AI/ML-powered solutions.
• Conduct Data Exploration and analysis to extract actionable insights from structure and unstructured data.
• Apply state-of-the-art ML/DL methods (supervised/unsupervised learning, deep networks) across diverse use cases (e.g., anomaly detection, predictive analysis, fraud detection).
• Implement end-to-end ML pipelines (data ingestion, preprocessing, training, evaluation, deployment, monitoring).
• Integrate ML models into production systems on-premises or Cloud platforms (e.g. AWS, GCP, …).
• Implement monitoring and logging to track model drift and performance using appropriate metrics.
• Build PoC/MVP using open/closed‑source generative AI, agentic AI frameworks to assess feasibility and potential impact, helping to de-risk the investment before committing to full-scale development.
• Fine-tune and adapt pre-trained models to business use case specific needs.
• Design and develop robust end-to-end AI solution, including backend services, scalable APIs, and integration with user-facing front-end, applying software engineering best practices (CI/CD, version control, automated testing,…)
• Document solution architecture, system design, integration flows, operation and best practices for reproducibility and knowledge sharing.
• Stay current with AI/ML research and industry trends to propose new techniques and tools.

• Master’s or bachelor’s degree in computer science, Computer Engineering, AI/Data disciplines or related field.
• Senior Profile with min 5 years of experience in delivering applied AI or ML solution, from PoC to solution industrialization.
• Proficiency in Python. Familiarity with other programming and scripting languages is a plus.
• Hands‑on with Data Science tools/practices (data prep, validation, evaluation) and open‑source ML/DL libraries.
• Familiarity with Generative AI open/close source, framework and workflows (fine‑tuning and/or RAG) or strong motivation to learn and apply quickly.
• Tooling: Git, Linux/UNIX & shell scripting, Docker / Docker Compose; basic cloud exposure (e.g., AWS).
• Experience with PyTorch, TensorFlow and knowledge of Spark/Hadoop or distributed data processing is a plus.

• Independent and analytical thinker, with proactive approach to problem solving.
• Able to work independently as well as working with cross-functional teams.
• Adept at switching between diverse technologies and tasks to meet evolving project needs.

Physical Demands:

• Highly autonomous
• Comfortable dealing with fast paced technology evolution and project uncertainties.

Special Position Requirements:

• Global mindset to foster strong working relationships with colleagues worldwide. Flexible and willing to adapt working hours on occasion when necessary.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.