Job Description

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.

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).
Qualifications
Educational qualification:
Bachelor's or master's in computer science, AI/ML, Data Science, or related field.
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
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.