Machine Learning Engineer

About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world’s leading brands
• Solve complex problems – and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Job Title : Senior Machine Learning

Job Summary:

We are seeking a highly skilled Senior Machine Learning Engineer with hands-on experience in deploying machine learning models, designing and building microservices, and creating robust APIs. The ideal candidate will also have experience in designing scalable ML platforms and working with cloud platforms such as Databricks (DBX) and/or Microsoft Azure.

Key Responsibilities:

Design, develop, and deploy scalable machine learning models to production environments.

Build and maintain microservices and API endpoints to serve ML models.

Develop ML pipelines and workflows for model training, evaluation, and monitoring.

Collaborate with Data Scientists, Data Engineers, and DevOps teams to build end-to-end ML solutions.

Design and implement ML platforms/tools that enable automation, reusability, and scalability.

Ensure model performance, reliability, and compliance in production environments.

Optimize solutions for cost, latency, and throughput in cloud environments (Azure/DBX).

Required Qualifications:

5+ years of experience in machine learning engineering or related field.

Strong programming skills in Python (preferred), and familiarity with libraries such as scikit-learn, PyTorch, TensorFlow.

Experience deploying ML models in production (Docker, REST APIs, FastAPI/Flask).

Solid experience with microservice architecture and API design.

Hands-on experience with ML Ops tools and workflows.

Experience with Databricks and/or Microsoft Azure (e.g., Azure ML, Azure DevOps, Azure Data Lake).

Strong understanding of CI/CD pipelines, containerization, and orchestration (e.g., Kubernetes).

Location: Remote

Salary Range: The salary for this position is between $110,000 – $150,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

This position is eligible for commissions in accordance with the terms of the Company’s plan. Commissions for this position are estimated to be based on individual performance. Additionally, this role is also eligible for bonus based on achievement of mutually agreed KRAs.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [12-15 days of paid vacation time] [6-8 weeks of paid parental leave after a year of service] [9 paid holidays and 2 floating holidays per calendar year] [Ascendion Learning Management System] [Tuition Reimbursement Program]

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