Senior Machine Learning Engineer @ Welltech

Who Are We?

Welcome to  Welltech —where health meets innovation! 🌍 As a global leader in  Health & Fitness industry , we’ve crossed over  220 million installs  with life-changing apps, all designed to boost well-being for millions. Our mission? To improve the health of millions of people through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over  700+ passionate professionals with a presence across 5 hubs .

Why Welltech?  Imagine joining a team where your impact on global health and wellness is felt daily. At Welltech, we strive to be proactive wellness partners for our users, while continually evolving ourselves.

About Our Team : We are the core ML team within a product-focused company. Our mission is to design and deploy impactful machine learning solutions that enhance decision-making and automate key business processes. We work closely with stakeholders across the company and take ownership of end-to-end ML systems — from raw data to deployed models and monitoring.

Candidate journey

Recruiter call >

Meet a team member >

Skills assessment >

Meet the Leadership team

Why You’ll Love Being Part of Welltech :

• Grow Together : Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together.
• Lead by Example : No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact.
• Results-Driven : We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day.
• We Are Well-Makers : Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality!

Our recent work includes :

Required Skills :

Nice to Have :

Tech Stack : Python, SQL, DBT, AWS (SageMaker, Glue, Lambda, Redshift, Spectrum), Docker, Airflow, GitLab, Terraform, Flask, Streamlit

Who Are We?

Welcome to  Welltech —where health meets innovation! 🌍 As a global leader in  Health & Fitness industry , we’ve crossed over  220 million installs  with life-changing apps, all designed to boost well-being for millions. Our mission? To improve the health of millions of people through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over  700+ passionate professionals with a presence across 5 hubs .

Why Welltech?  Imagine joining a team where your impact on global health and wellness is felt daily. At Welltech, we strive to be proactive wellness partners for our users, while continually evolving ourselves.

About Our Team : We are the core ML team within a product-focused company. Our mission is to design and deploy impactful machine learning solutions that enhance decision-making and automate key business processes. We work closely with stakeholders across the company and take ownership of end-to-end ML systems — from raw data to deployed models and monitoring.

Candidate journey

Recruiter call >

Meet a team member >

Skills assessment >

Meet the Leadership team

Why You’ll Love Being Part of Welltech :

Lead the design, development, and deployment of robust ML systems that power key business decisions. , Own and evolve core ML infrastructure and pipelines, ensuring scalability and reliability. , Partner with data engineers and analysts to ensure high data quality and efficient feature pipelines. , Design and maintain inference APIs in production environments. , Build internal tools and dashboards using Streamlit to support model transparency and monitoring. , Track model performance, and implement monitoring tools. , Collaborate with business stakeholders to scope ML use cases and translate them into actionable technical solutions. , Conduct code reviews, mentor ML Engineers and Data Scientists, and promote best practices in model development and deployment. , Ensure continuous improvement of deployed models through retraining, feedback loops, and error analysis. ] Requirements : Boost, Machine learning, Testing, Python, SQL, NumPy, pandas, scikit-learn, Prototyping, AWS, Glue, Redshift, AWS Lambda, Stakeholder management, Use cases, Deep learning, PyTorch, TensorFlow, Docker, Terraform, Airflow, dbt, GitLab, Flask