Role : Senior AI/ML Engineer

Experience : 4 - 8 years

Location : Chennai/Hyderabad

Work Mode : WFO (all 5 days)

-Only candidates who has worked on developing product are preferred-

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+ countriesensuring 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.

Job Description :

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.