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 preferableA 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.(ref : hirist.tech)
