Remote Senior ML Ops Engineer

Description:

• This is a CONTRACT TO HIRE OPPORTUNITY; the ideal candidate should be able to start on 10/1/2024.
• The role involves architecting data solutions, designing and optimizing data pipelines, and operationalizing machine learning models.
• A strong technical foundation, strategic thinking, and the ability to collaborate across disciplines are essential to drive innovation and data-driven excellence.
• The candidate will lead the creation of high-quality backend architectures that leverage cloud technologies.
• The architectural vision will focus on business acumen, performance optimization, cost-efficiency, and practical implementation.
• The lead will orchestrate the project’s technical directions, ensuring alignment with overarching goals while guiding and mentoring colleagues.
• The role includes nurturing a collaborative environment where team members thrive and feel empowered.
• The candidate will help the organization upskill for upcoming needs in the evolving landscape of Machine Learning Ops and Generative AI.
• There is an opportunity to be creative in the world of big data technology without the constraints of a large-scale organization.
• The position allows for exploration of the latest technologies to improve personal skillsets and organizational capabilities.

Requirements:

• Strong experience with containerization, orchestration, and cloud computing platforms such as AWS, Snowflake, Azure, GCP, Docker, and Kubernetes is required.
• The candidate must have machine learning operations project experience with relevant technologies, specifically Sagemaker.
• A good understanding of databases and data warehouses is necessary.
• Previous experience deploying data products end to end is essential.
• Experience with implementing governance frameworks, data privacy regulations, and compliance standards is required.
• The candidate should have previous experience architecting efficient processing frameworks.
• Proven leadership experience in machine learning operations, including managing teams responsible for model deployment, monitoring, and maintenance, is necessary.
• The ability to collaborate with cross-functional teams and drive technical decisions is required.
• Excellent communication and leadership skills are essential for this role.

Benefits:

• The position offers the ability to work remotely, providing flexibility in the work environment.
• Employees will have the opportunity to work in a diverse and inclusive workforce that values equality and growth.
• The company is committed to investing resources in the continued learning and development of its employees.
• There is a focus on transparency and shared learning within the organization, enhancing the overall work experience.