Sr. Software Engineer (AI/ML - Full stack capable)

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

• Roles & Responsibilities:
• Role Overview

We are building an AI Factory to deliver intelligent solutions that revolutionize HR processes and business decision-making. The AI/ML Engineer – Full-Stack Capable will be a core builder, responsible for end-to-end design, development, deployment, and scaling of AI/ML applications.

This role blends AI/ML engineering with full-stack software development to ensure our solutions are production-ready, secure, and seamlessly integrated into our HR and enterprise systems.

Responsibilities:

• Collaborate with business analysts, HR domain experts, and data scientists to translate AI concepts into deployable products.
• Design, train, test, and optimize AI/ML models (NLP, predictive analytics, recommendation engines, GenAI, etc.).
• Build full-stack applications to deliver AI capabilities to end users (front-end, back-end, APIs, and database integration).
• Develop data pipelines for preprocessing, feature engineering, and model training using HR and business datasets.
• Deploy AI models into production environments (cloud, containerized, or on-premises) with monitoring and maintenance.
• Ensure scalability, performance, and security of AI applications.
• Integrate with existing HR platforms and enterprise systems.
• Implement MLOps best practices for model lifecycle management, retraining, and versioning.
• Document architecture, code, and processes to ensure maintainability.
• Stay updated on emerging AI frameworks, tools, and compliance requirements (including AI ethics and governance).
• Bachelor’s or master’s in computer science, AI/ML, Data Science, or related field.

Qualifications

Educational Qualification:

• Additional certifications in AI/ML or cloud development are an advantage.

Experience:

Overall, 5- 8 years of experience, 3 years of hands-on experience in AI/ML model design, training, and deployment experience for a large-scale application at country or regional or worldwide scale.

Mandatory/Requires Skills:

• Programming Languages: Strong in Python (AI/ML), plus JavaScript/TypeScript for full-stack development.
• AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
• Front-End Development: React, Angular, or Vue.js.
• Back-End Development: Node.js, Django, or Flask.
• Cloud Platforms: AWS, Azure, or GCP AI/ML services (e.g., Sagemaker, Azure Machine Learning, Vertex AI).
• MLOps Tools: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines.
• Databases: SQL and NoSQL (e.g., PostgreSQL, MongoDB).
• API Development: REST, GraphQL.

Preferred Skills:

• Experience with Generative AI (LLMs, prompt engineering, fine-tuning).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) for semantic search.
• Knowledge of event-driven architectures and microservices.
• Exposure to HR data structures and people analytics platforms.
• Experience with automated testing for AI pipelines and applications.
• Knowledge of data streaming frameworks (Kafka, Kinesis).
• Open-source contribution or portfolio of AI/ML projects.

Additional Information

Overall, 5- 8 years of experience, 3 years of hands-on experience in AI/ML model design, training, and deployment experience for a large-scale application at country or regional or worldwide scale.