Remote Machine Learning Engineer
Mantel GroupJoin Mantel Group as a Machine Learning Engineer
Mantel Group is seeking a talented and passionate Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will work with a group of smart, skilled, and passionate individuals to deliver high-quality data science and machine learning outcomes to our clients. Our projects and clients vary, providing a diverse and exciting work environment.
Key Responsibilities
- Technology Selection: Choose the best technology for a given data science use case.
- Operational Architecture: Design the best operational architecture for machine learning applications.
- Application Development: Develop machine learning applications and apply MLOps principles to data science workflows, such as building reproducible training pipelines.
- Cloud Services: Stand up cloud services to run machine learning workloads and automate repeatable routines in ML workflows.
- Consulting Services: Provide consulting services that combine architectural vision with hands-on technical experience using the latest AI/ML tools and methods.
- Pre-sales Support: Support pre-sales activities including conversations, presentations, and writing proposals.
- Thought Leadership: Contribute to thought leadership activities, including blog and brown-bag content, for Mantel Group and the wider AI/ML community.
What You’ll Need To Be Successful
- Software Development Experience: Commercial software development experience across different industries and organizations.
- Machine Learning Expertise: Commercial experience in machine learning application development and production experience in at least one cloud stack.
- Consulting Experience: Experience in consulting, either with external clients or internally within an organization.
- Software Engineering Skills: Fundamental modern software engineering skills, including designing and implementing a well-structured code base and software development cycle (CI/CD, TDD, monitoring/logging).
- Programming Skills: Solid programming skills in at least one applicable language, such as Python.
- Cloud Engineering Skills: Ability to architect, use, and deploy cloud services in at least one cloud stack.
- Machine Learning Concepts: Understanding of key machine learning and data science concepts across different areas.
- MLOps Knowledge: Good grasp of concepts in the machine learning development cycle & MLOps, such as model development, model deployment, data versioning, etc.
- Project Delivery: Evidence of ML project delivery or self-learning that can be demonstrated.
- ML Technologies Exposure: Exposure to one or more ML technologies and/or frameworks such as Amazon Sagemaker, Google AI Platform, Databricks/mlflow, AI API Services, TensorFlow, PyTorch, Scikit-Learn, etc., with demonstrable production experience.
Why Join Mantel Group?
- Career Growth: We support our team to take their career in a direction that aligns with their passions, with internal opportunities across Cloud, Data, Security, and Digital.
- Tools and Resources: You’ll get all the tools you need to hit the ground running, including a new phone, laptop, and swag.
- Unique Experiences: Our My Deal program allows you to tailor your yearly plan, with the support of your Leader, to decide on what’s most important to you.
- Flexible Work Environment: We support a flexible hybrid approach to working, guided by our principles; we trust each other to make good choices about the best workplace locations for the requirements of the project, role, and client.
If you are passionate about machine learning and want to work in a supportive and innovative environment, we encourage you to apply. At Mantel Group, we value diverse skill sets and encourage applications from candidates who may not meet all the listed experience/skills but are eager to learn and grow with us.
Benefits Extracted with AI
- Flexible hybrid working approach
- Professional development opportunities
- Flexible personal leave options
- New phone and laptop
- Tailored yearly plan through My Deal program
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