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    Home/Jobs/Senior Software Engineer, AI

    Senior Software Engineer, AI

    Stryker

    Gurugram
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    Agentic AI
    Retrieval-Augmented Generation (RAG)
    LangChain
    Python
    PyTorch
    TensorFlow
    Machine Learning
    Deep Learning
    Computer Vision
    OCR
    API development
    Backend services
    Distributed applications
    Cloud platforms (Azure

    Description

    Looking for a place that values your unique talents? Discover Stryker's award-winning culture. We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific.

    Company: Stryker

    Role: Senior Software Engineer, AI

    Location: Gurugram, HR 122001, India | Hybrid

    Experience:

    • 3+ years of relevant industry experience
    • Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field

    Key Skills:

    • Python
    • Machine Learning
    • Deep Learning
    • PyTorch
    • TensorFlow
    • Computer Vision
    • OCR
    • LLMs
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI
    • API development
    • Backend services
    • Distributed applications
    • Cloud platforms (Azure, AWS, GCP)
    • Docker
    • Kubernetes
    • MLOps

    Qualification:

    • Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field
    • Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field

    Role Focus:

    • Design, develop, and deploy AI-powered applications
    • Build scalable backend services, APIs, and workflow orchestration components
    • Design and implement Retrieval-Augmented Generation (RAG) pipelines, intelligent assistants, and workflow automation solutions
    • Develop Computer Vision and OCR solutions
    • Train, optimize, evaluate, and deploy machine learning and deep learning models
    • Build data pipelines supporting AI model training, validation, and inference workflows
    • Develop cloud-native AI applications
    • Implement MLOps best practices
    • Collaborate with cross-functional teams
    • Create technical documentation, architecture diagrams, validation reports, and deployment artifacts

    Nice to have:

    • Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning
    • Experience with LangChain, LangGraph, Semantic Kernel, AutoGen
    • Experience building production-grade GenAI, RAG, OCR, or intelligent document processing solutions
    • Experience with MLflow, monitoring tools, and model lifecycle management
    • Exposure to healthcare, medical imaging, or regulated environments
    • Experience creating technical architecture documentation and contributing to solution design discussions

    Other:

    • Bonuses
    • Healthcare
    • Insurance benefits
    • Retirement programs
    • Wellness programs
    • Service and performance awards
    • Social and recreational activities

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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