Machine Learning Engineer

Position: Machine Learning Engineer
Location: Remote
Duration: 12 months
Compensation: $85/hr. - $95/hr.
Work Authorization: US Citizen, GC Holders or Authorized to Work in the U.S.

Job Summary

• In this role you will partner with data scientists and engineers to build and deploy large-scale feature sets for, and collaborate on, a machine-learning model.

Responsibilities:

• Feature engineering and optimization: Acquire new data and conform it to usable model features; develop and maintain pipelines using orchestration and data management tools; develop and deploy scalable streaming and batch data pipelines to support petabyte scale datasets for these features. Model development, deployment and optimization: work together with the data scientists and engineers to build and deploy models in large-scale production environments.
• Best practices: Maintain existing and establish new development, testing, and deployment standards.
• Collaboration: identify and define opportunities for data collection, feature development, model development, testing, monitoring, and experimentation

Basic Qualification:

• Bachelor's degree in computer science, mathematics, or related fields.
• 5+ years of relevant experience
• Experience with data engineering technology and best practices
• Experience with building, training, and deploying machine learning models
• Expertise in Python and SQL
• Expertise in Spark, Snowflake, and dbt
• Experience working in AWS environments
• Experience working with data subject to privacy, governance, and legal policies.

Preferred Qualifications:

• Proficiency in Databricks and Snowflake in AWS environments
• Experience working in machine learning frameworks such as SparkML, scikit-learn, PyTorch, Keras.
• Experience with Github, Airflow, Scala, and Java
• Proficiency in DevOps and CICD
• Experience with multiple model deployment tools
• Experience with MLflow or other tracking tools
• Experience working with Agile teams
• Experience with data science focused feature stores
• Strong data analysis and visualization skills
• Experience applying mathematical and statistical methods to data

Required Education:

• BA/BS Degree Comp Sci/IS/Math

Our benefits package includes:

• Comprehensive medical benefits
• Competitive pay, 401(k)
• Retirement plan
• and much more.

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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