Senior Machine Learning Engineer

Role : Senior AI/ML Engineer

Experience :

Location:

Work Mode:

About the client:

Join a fast-growing global product company that's redefining life sciences with AI-driven innovation. Their platforms power top pharma firms in 30+ countries—ensuring safety, speed, and compliance. From Gen AI to predictive systems, the Chennai tech hub is building cutting-edge solutions that matter. If you're ready to apply AI where it truly impacts lives, this is your opportunity.

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role.

Roles & Responsibilities:

• Design, implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction.
• Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency.
• Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis.
• Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
• Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry.
• Mentor junior engineers, fostering a culture of continuous learning and improvement.

Required Skills:

• Experience in the life science domain or a related field is preferable
• A minimum of 4-8 years experience in AI/ML engineering, with a track record of handling increasingly complex projects.
• Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
• Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.
• Thorough understanding of software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
• Strong programming skills in Python, Scala, Go, Rust or other languages.
• Excellent written and verbal communication skills and interpersonal skills.
• Experience with ML Ops platforms, such as Kubeflow or ML Flow.
• Experience with ML frameworks, such as scikit-learn, Tensor flow, PyTorch.
• Experience with Gen AI tools, such as Lang chain, Llama Index, and open-source Vector Dbs.'
• Advanced degree in Computer Science, Machine Learning or related field.

aishwarya.saravanan@antal.com