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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
