Senior AI/ML Engineer

An Amazing Career Opportunity for Senior AI/ML Engineer 

Location: Chennai, India (Hybrid)

Job ID: 42889

Profile Summary:

A rewarding career at HID Global beckons you! We are looking for a Senior AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization, with a focus on building scalable, high-performance AI systems. As a Lead AI/ML Engineer, you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption. We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities.

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. 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 4500 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). 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/

Physical Access Control Solutions (PACS):

HID Physical Access Control Solutions (PACS) is at the forefront of securing spaces with advanced, reliable access control solutions. From cutting-edge readers, credentials and controllers to mobile and biometric technologies, HID PACS empowers organizations worldwide to protect their people, property and assets with scalable, high-quality solutions. This is more than just a job – it’s your chance to join an industry leader to drive innovation in access control and make a real impact on global security solutions. Are you ready to make a difference? Join us and help shape the future of security. 

Are You Ready to Join the Team?
Our company is committed to finding the best and the brightest talent to help us reach the top. If you are a dynamic, highly skilled, experienced Cloud engineer and technology enthusiast, and you enjoy working in a rapid pace within a rapidly growing business environment, then you will want to consider this position. If you excel at communication, collaboration, and unrelenting innovation, we want to talk to you. And if you bring dedication, positive energy and integrity to the table, you just might be the right fit for our team.

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.

Roles & Responsibilities (Other duties may be assigned)

• Design, develop, and deploy robust & scalable AI/ML models in Production environments.
• Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics.
• Optimize models for performance, latency and scalability.
• Build data pipelines and workflows to support model training and evaluation.
• Conduct research & experimentation on the state of the art techniques (DL, NLP, Time series, CV)
• Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training.
• Lead code reviews, architecture discussions and mentor junior & peer engineers.
• Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency.
• Deploy models in cloud-based (AWS, Azure, GCP) or on-premise environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX
• Ensure data integrity, quality, and preprocessing best practices for AI/ML model development.
• Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance.
• Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems.
• Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization.
• Strong analytical and problem-solving mindset.

Technical Requirements:

• Strong expertise in AI/ML engineering and software development.
• Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc)
• Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment.
• Experience in production grade ML systems (Model serving, APIs, Pipelines)
• Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc)
• Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting.
• Hands-on in Software engineering with knowledge of version control, testing & CI/CD
• Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow.
• Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection.
• Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP).
• Experience in data preprocessing, feature engineering, and dimensionality reduction.
• Exposure to Data privacy, Compliance and Secure ML practices

Experience and/or Education Qualification:  

• Graduation or master’s in computer science or information technology or AI/ML/Data science
• 5-8 years of hands-on experience in AI/ML development/deployment and optimization

Why apply? 

• Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply.
• Innovation: You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers.
• Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves to feel appreciated and accepted.

This opportunity may be open to flexible working arrangements.

HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation.

We make it easier for people to get where they want to go!
On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something.  HID technology is behind billions of interactions, in more than 100 countries.  We help you create a verified, trusted identity that can get you where you need to go – without having to think about it.  
 
When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

 #LI-HIDGlobal