Software Engineer - ML

An Amazing Career Opportunity for Senior Software Engineer - ML

Location: Chennai, India (Hybrid)

Job ID: 37987

Profile Summary:

We’re looking for an innovative and hands-on Machine Learning Engineer to join our corporate data science team, part of the CTO’s Office at HID Global. You’ll collaborate with data scientists, ML Ops engineers, and full-stack developers to help bring AI-driven ideas into production. This role focuses on building performance, scalable ML systems—including classical models, LLMs, and multi-agent architectures—and turning them into real-world applications.

You’ll play a key role in shaping HID’s adoption of machine learning and generative AI, with responsibilities ranging from model development to prompt optimization to implementation of safety and governance mechanisms.

About HID Global

HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses, and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo

LinkedIn: www.linkedin.com/company/hidglobal/mycompany/

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

As our Machine Learning Engineer, you’ll support HID’s success by:

• Designing and implementing machine learning pipelines and models, including LLM-based solutions
• Translating prototypes and research into production-grade code and deployable components
• Developing and fine-tuning foundation models and LLMs for specific use cases
• Training and optimizing numeric machine-learning models
• Applying prompt engineering and building agent-based architectures for complex task automation
• Integrating models into backend systems and supporting real-time/batch inference services
• Working with guardrails and observability tools to ensure safe and robust use of generative AI
• Staying up to date with advances in AI and emerging LLM ecosystems to bring innovative capabilities to the team

Roles & Responsibilities include the following (Other duties may be assigned):

• Hands-on experience with LLM solution development and integration
• Solid understanding of modern LLM tools and frameworks such as:
• – LangChain, LangGraph, CrewAI, Autogen
• – Azure OpenAI Studio, Gemini Studio
• – LangSmith or equivalent observability/debugging platforms
• Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers
• Deep understanding of agent architecture, prompt engineering, and LLM guardrails
• Experience with CI/CD practices, version control, testing, and model governance
• Comfortable working with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes)
• Bonus: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) or orchestration tools (e.g., MLflow, Airflow)

Education and/or Experience:

• 3+ years of experience building and deploying machine learning models in production
• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field

What we can offer you:

• Competitive salary and rewards package

• Competitive benefits and annual leave offering, allowing for work-life balance

• A vibrant, welcoming & inclusive culture

• Extensive career development opportunities and resources to maximize your potential

• To be a part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds.