Job Title: Machine Learning Engineer
Company: Ascendion
Location: United States
Description:
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: Machine Learning Engineer




Location: Remote




Key Responsibilities:

Design, develop, and deploy end-to-end machine learning pipelines from data ingestion to model serving in production.
Develop and maintain scalable microservices and RESTful APIs to support model inference and integration into customer-facing applications.
Architect and build robust, reusable ML platforms or frameworks to accelerate experimentation, training, evaluation, and deployment processes.
Operationalize ML models, ensuring reliability, scalability, and monitoring in production environments.
Collaborate with data scientists, software engineers, DevOps, and product teams to bring ML solutions from prototype to production.
Implement CI/CD practices for ML workflows, including automated testing, validation, and model versioning.
Utilize Databricks for data engineering, model training, and experiment tracking; or leverage Azure Machine Learning, Azure Functions, and Azure DevOps for end-to-end deployment.
Monitor and optimize model performance post-deployment, and implement strategies for model retraining and updates.
Ensure data governance, security, and compliance practices are followed throughout the ML lifecycle.




Minimum Qualifications:

Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
Great hands-on experience as a Machine Learning Engineer or similar role.
Proven experience in deploying ML models in real-world production environments.
Strong proficiency in Python, with experience in libraries such as scikit-learn, TensorFlow, PyTorch, FastAPI, etc.
Experience with building microservices and RESTful APIs using Python, Flask, FastAPI, or similar frameworks.
Solid understanding of MLOps practices and tools (e.g., MLflow, Airflow, DVC, Kubeflow).
Familiarity with Databricks (DBX) and/or Microsoft Azure ML platform, Azure Functions, Azure Blob Storage, etc.
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Strong understanding of data structures, algorithms, and software engineering best practices.




Salary Range: The salary for this position is between $125,000 – $140,000 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]




Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Show more