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Senior ML Ops Engineer

76% Flex

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Maryland (USA), United States

Offer summary

Qualifications:

Strong experience with AWS cloud platform, containerization, orchestration, CI/CD deployment., Experience in machine learning operations, SageMaker, databases, data product deployment..

Key responsabilities:

Architecting data solutions, optimizing pipelines, operationalizing ML models.
Lead in creating backend architectures, guiding technical directions efficiently.
Nurture collaborative environment, upskill team members, mentor colleagues.
Orchestrate technical project goals alignment, implement governance frameworks.
Foster a diverse workforce, positively impact growth, ensure workplace equality.

Blend360 Professional Services Scaleup https://www.blend360.com/

501 - 1000 Employees

See more Blend360 offers

Job description

Your missions

Company Description

BLEND360 is an award-winning, new breed Data & AI Solutions Company focused on powering exceptional results for our Fortune 500 clients. We are a growing company—born at the intersection of advanced analytics, data and technology.

Job Description

You will be instrumental in architecting data solutions, designing and optimizing data pipelines, and operationalizing machine learning models. This position requires a strong technical foundation, strategic thinking, and the ability to collaborate across disciplines to drive innovation and data-driven excellence.

In this role, you will take lead in creating high-quality backend architectures that leverage cloud technologies. Your architectural vision will be a blend of business acumen, performance optimization, cost-efficiency, and practical implementation.

As the Lead, you will orchestrate the project’s technical directions, ensuring alignment with overarching goals while guiding and mentoring your colleagues. You will nurture a collaborative environment where team members thrive and feel empowered. You will be responsible for helping the organization upskill for upcoming needs in the evolving landscape of Machine Learning Ops and Generative AI.

You will get the ability to be creative in the world of big data technology without the encumberment of a large-scale organization. You will have the freedom to explore the latest technologies out there to not only improve your own skillset, but also help the organization improve.

Qualifications

Strong experience with containerization, orchestration, CI/CD deployment and the AWS cloud platform.
Machine learning operations project experiences with relevant experience in SageMaker.
Good understanding of databases/warehouses.
Previous experience deploying data products end to end.
Experience with implementing governance frameworks, data privacy regulations, and compliance standards.
Previous experience architecting efficient processing frameworks.
Proven leadership experience in machine learning operations, including managing teams responsible for model deployment, monitoring, and maintenance.
Ability to collaborate with cross-functional teams and drive technical decisions.
Excellent communication and leadership skills.

Additional Information

A diverse workforce is a strong workforce. To deliver growth at BLEND360 and for our clients, we believe we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success. We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.

This is not the work of the moment, and this requires continued learning and purposeful actions. We are investing resources to understand and improve the sourcing, selection, and retention of the talent we hire, and ultimately the workforce we provide for our clients. We will communicate our journey in the spirit of transparency and shared learning.