ML Engineer Offline

The Cloud Data Platform is being developed from scratch, will be configured by users, not developers, and will accept data in any format. 

We’re seeking an ML Engineer with experience in designing, developing, and deploying scalable machine learning models. You’ll help expand our AI-driven platforms that improve interactions between life sciences and healthcare practitioners. 

Your role will involve converting complex healthcare data into actionable insights and working with diverse teams to drive innovation in the healthcare sector.

Need to have

• 3-4 years of experience as an ML Engineer or in similar positions.
• Skilled in designing, developing, and deploying machine learning models at scale in production settings.
• Demonstrated proficiency with cloud-based ML platforms and MLOps (e.g., AWS SageMaker, Azure ML), including creating CI/CD pipelines for automated deployment of models.
• Extensive knowledge of advanced ML techniques, such as neural networks, deep learning, transfer learning, and model interpretability.
• Expertise in managing large-scale data processing using tools like Apache Spark, Databricks, or other big data technologies.
• Solid understanding of software engineering best practices, including version control, unit testing, and performance and scalability optimization.
• Experience integrating ML models into end-to-end data pipelines and adapting research models for production use.
• Capability to design and implement innovative ML solutions that align with business goals and drive measurable results.
• Proficiency in both spoken and written English. 

Significant responsibility, autonomy, and trust in how you approach your work.

Play a key role in creating products that make a substantial difference in healthcare and patient outcomes.