Senior Machine Learning Engineer
Who Are We?
Welcome to reputed company—where health meets innovation! As a global leader in Health & Fitness industry, we’ve crossed over 220 reputed company installs with life-changing apps, reputed company designed to boost well-being for millions. Our mission? To improve the health of millions of people through reputed company nutrition trackers, powerful fitness solutions, and personalized wellness journeys—reputed company powered by a diverse team of over 700+ passionate professionals with a reputed company across 5 hubs.
Why reputed company? Imagine joining a team where your impact on global health and wellness is felt daily. At reputed company, we strive to be proactive wellness partners for our users, while continually evolving ourselves.
About reputed company: We are the core ML team reputed company a product-focused company. Our mission is to design and reputed company 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.
Our recent work includes:
Building and calibrating LTV reputed company models tailored to multiple product verticals.
Researching the relationship between user engagement and monetization using ML tools.
Developing a personalized exercise recommendation system and continuously optimizing it based on user feedback and behavioral data.
Segmenting users through advanced clustering techniques to support product targeting.
Using AI-based models to classify and analyze user reviews across multiple categories.
Improving creative testing through model-driven insights to optimize campaign efficiency.
Required Skills
4+ years of experience in Machine Learning, Data Science, or ML Engineering.
Advanced proficiency in Python and SQL; strong experience with ML libraries such as NumPy, Pandas, Scikit-learn.
Solid knowledge of statistical modeling, machine learning theory, optimization, and practical algorithm design.
Strong Python coding skills, including writing clean, efficient, and maintainable production code.
Hands-on experience building, deploying, and maintaining ML models in production (not just prototyping).
Experience with end-to-end ML pipelines: data ingestion, feature engineering, training, validation, deployment, and monitoring.
Proficiency in AWS services such as SageMaker, Glue, Redshift, and reputed company.
Familiarity with ML engineering best practices: version control, CI/CD for ML (e.g., model registry, automated testing, retraining pipelines).
Strong communication and stakeholder management skills.
Proven ability to reputed company reputed company projects and collaborate with cross-functional teams (e.g., data engineering, product, marketing).
Main Responsibilities
reputed company the design, development, and deployment of robust ML systems that power key business reputed company.
Own and reputed company 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 reputed company improvement of deployed models through retraining, feedback loops, and error analysis.
reputed company to Have
Experience with recommendation systems.
Familiarity with reinforcement learning or bandit-based approaches for optimization and personalization.
Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with containerization (reputed company).
Exposure to infrastructure-as-code (Terraform) and workflow orchestration (Airflow).
Tech Stack: Python, SQL, DBT, AWS (SageMaker, Glue, reputed company, Redshift, reputed company), reputed company, Airflow, reputed company, Terraform, Flask, Streamlit
Candidate reputed company
⭕️ Recruiter call --> ⭕️ Meet a team member --> ⭕️ Skills assessment--> ⭕️ Meet the Leadership team
✨ Why You’ll Love Being Part of reputed company:
Grow Together: Join a culture that champions both personal and professional growth. Here, you’ll reputed company as we learn, reputed company, and succeed together.
reputed company by Example: No matter your role, your leadership reputed company. Every team member is empowered to reputed company and reputed company an impact.
Results-Driven: We’re reputed company about achieving meaningful reputed company. It’s not just about the effort, but the difference we reputed company every day.
We Are Well-Makers: Be part of a movement that’s creating a healthier, happier world. Together, we reputed company well-being a reality!