Description

Job Summary:

As a Machine Learning Engineer, you will help design, build, and deploy machine learning solutions that support real-world business needs. Working closely with senior engineers, data teams, and analysts, you will contribute to model development, data pipelines, and machine learning operations while gaining hands-on experience with modern cloud and data platforms. This role is ideal for someone who loves solving practical problems with machine learning, is eager to grow in machine learning operations, and thrives in collaborative, technical environments.

What you'll get to do:

• Model Development & Implementation: Build and train machine learning models based on project requirements, supporting model evaluation, validation, and performance improvements.
• Data Pipeline Support: Develop and maintain data preprocessing workflows and feature pipelines to ensure seamless data processing. Ensure data quality and consistency across ML systems.
• Machine Learning Operations & Deployment: Contribute to ML deployment pipelines, model versioning, and monitoring. Collaborate with senior engineers on CI/CD and automation practices.
• Cloud & Data Integration: Work with cloud platforms (AWS, Azure, GCP) and Snowflake to operationalize Machine Learning models. Integrate Machine Learning components with modern data architecture.
• Collaboration: Partner with data engineers, analysts, and senior ML engineers to translate business needs into technical solutions. Support documentation, testing, and reliability efforts

What you'll bring:

• Strong foundation in machine learning fundamentals
• Proficiency in Python and common ML libraries (pandas, scikit-learn, PyTorch or TensorFlow)
• Experience in training and evaluating ML models
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with MLOps concepts such as model tracking, automated pipelines, and monitoring

Additional Assets:

• Basic understanding of containerization (Docker or Kubernetes)
• Experience working with APIs or production data workflows
• Interest in responsible AI, security, or governance

What we work with:

• Machine Learning: pandas, scikit-learn, PyTorch
• MLOps: MLflow, Langchain, Langflow, Airflow
• Data: Snowflake, Databricks Lakehouse
• Cloud: AWS, GCP, Azure
• Infra & Orchestration: Docker, Kubernetes, ECS, Terraform
• Languages: Python (primary), SQL

What's in it for you? We're so glad you asked!

You will be surrounded by some of the brightest and most accomplished technical minds in our field. We are a team of very diverse and passionate professionals who love working together and solving problems by leveraging technology to help our customers. We pride ourselves in our outstanding work culture that is grounded in our 8 core values: trust, excellence, integrity, humility, accountability, responsibility, kindness, and fun.

We value our people above all, and we provide a competitive compensation and benefits package benefits to show our team our appreciation for everything they do:

• We are a 100% remote organization and our team members can work from the comfort of their homes, as well as anywhere abroad where they are entitled to work for up to 3 months per year.
• We are strong believers of work-life integration and we offer a flexible schedule so that our team can manage their own workload and still be there for family and loved ones.
• We offer 4 weeks of vacation annually, in addition to paid personal and sick days, so that our team can unwind, recharge, and enjoy time away for hobbies and family.
• We provide a monthly bring-your-own-device allowance for each team member to choose the computer and phone of their preference (and it is theirs to keep afterwards).
• We strongly believe in professional growth, so we are continuously educating ourselves with regular lunch & learns and industry events, and we invest in professional development and industry-based certifications for everyone in our team.
• We constantly encourage everyone to step outside of their comfort zone and try new things, so we dedicate time each month to work on non-client work and collaborate on new innovative ideas, and we reward people who experiment and take risks.
• We enjoy getting together and we promote co-working days and social events in our main locations on a regular basis.

Compensation

$90,000.00 - $120,000.00 per year