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 Databricks certifications fully covered
• 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