Role : Senior AI/ML Engineer
Experience : 4 - 8 years
Location: Chennai/Hyderabad
Work Mode: WFO
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
