Machine Learning Engineer Lead

🚀 What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

• Amazon Web Services
• Astronomer
• Databricks

🌟 Our Values

• 📊 We are Data Nerds
• 🤗 We are Open Team Players
• 🚀 We Take Ownership
• 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

• Lead and mentor the team, fostering skill development and best practices.
• Guide the creation of SPECs and ensure clear documentation.
• Act as the main point of contact for stakeholders, ensuring alignment between technical and business goals.
• Develop and optimize data and ML solutions, integrating best practices for scalability and monitoring.
• Oversee the full lifecycle of data pipelines and models—from EDA and feature engineering to deployment and continuous improvement.
• Build Proof of Concepts (POCs) to validate and refine solutions.
• Optimize performance, latency, memory, and throughput across data systems.
• Design and maintain feature stores and data pipelines to support workflows.
• Research and implement emerging technologies to enhance solutions.
• Participate in candidate interviews and evaluations to help Mutt grow.

Required Skills 💻

• Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
• Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
• Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.
• Strong proficiency in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly).
• Knowledge of SQL.
• Experience with cloud platforms (AWS, GCP, Azure).

Nice to Have ✨

• Experience with ML workflows (Airflow, MLflow, H2OAI, Databricks).
• Background in AdTech or Generative AI projects.
• Understanding of Deep Learning frameworks (Keras, PyTorch, TensorFlow).
• Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).
• Basic knowledge of Docker.

🎁 Perks

• Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

Originally posted on Himalayas