

A global leader in power management, providing energy-efficient solutions for various industries.
1 days ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Pune, Maharashtra, India
Office Full-Time
Company Size
105,000 Employees
Service Specialisms
Sector Specialisms
The role involves partnering with architects to shape the technical vision for AI solutions while ensuring alignment with company standards. It also includes building and integrating user interfaces and backend services to connect AI models with enterprise systems, and deploying AI models on Azure using containers with managed CI/CD pipelines for reliability and scalability.
The position requires working closely with business teams to understand their needs, translate requirements, and demonstrate development progress. It emphasizes exploring new AI technologies, proposing improvements, sharing insights, embedding security and quality through DevSecOps practices, and continuously refining code, optimizing performance, addressing technical debt, and mentoring junior developers.
Candidates must hold a bachelor's degree in Computer Science, Engineering, or a related IT field, with a master's degree in a relevant area being a plus. They should have over ten years of experience in IT/software development, deep expertise in building AI applications, experience integrating AI with enterprise platforms, Agile/Scrum leadership or mentoring roles, and exposure to AWS/GCP, cloud security, and DevSecOps practices. Relevant certifications in Azure AI, Agile, or DevOps are strongly advantageous.
Technical proficiency should include full‑stack development with .NET (C#), Angular or React, JavaScript/TypeScript, HTML5, CSS, RESTful APIs, and relational databases, as well as strong Python skills. Hands‑on experience with Azure container orchestration, ML frameworks such as TensorFlow and PyTorch, prompt engineering for large‑scale NLP models, CI/CD pipelines, source control, and cloud configuration management is required, alongside strong analytical abilities to translate business needs into AI/ML solutions.