MLOps Engineer
CyberCoders

Job Info

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MLOps Engineer If you are a MLOps Engineer with experience, please read on!

This Denver-based industrial-scale Bitcoin mining company is dedicated to expanding and strengthening the Bitcoin network's critical infrastructure in the United States. Due to their expansion, they are in need of a talented mid-senior level MLOps/DevOps Engineer to join their team in Denver CO! If you think you have what it takes to join this high-speed, innovative team then read on and APPLY!

-Applicants with completed questionnaires will be reviewed first!
What You Will Be Doing - Build systems and tools for the full ML lifecycle including model management, latency optimization, model performance (drift) monitoring, drift alerting, and model tuning/retraining.
- Build model performance monitoring visualizations and dashboards for models in production.
- Architect and write robust, low-latency code to deliver optimized ML models to production.
- Use automated and human-in-the-loop annotations to retrain and deploy updated models.
- Ensure CI/CD and change control on data, feature stores, models, and ML pipelines.
- Make models available as APIs

-Applicants with completed questionnaires will be reviewed first!
What You Need for this Position SKILLS:
- Comprehensive working knowledge of MLOps tools, CI/CD, and model management processes and best practices.
- Experience working within cloud-based platforms. Experience with Microsoft Azure / Databricks, AutoML, MlFlow, Model Registry, and Feature Store is a plus.
- Knowledge of the major ML libraries in Python and/or Pyspark.
- Moderate to advanced SQL.
- Strong software engineering background and Python programming skills.
- Knowledge of Machine Learning concepts (model evaluation/ model deployment/ model monitoring/model retraining and hyperparameter tuning.
REQUIREMENTS:
- Bachelor's degree in data science, applied statistics, or another relevant quantitative discipline (Masters's degree preferred)
- 3 + years of relevant experience in an MLOps or similar role.
- Strong track record designing, building, maintaining, and monitoring production-grade machine learning workflows, pipelines, and models in large-scale distributed systems.
- Ability to refactor and/or write low latency, production code.
- Good knowledge of machine learning, data science, and data engineering fundamentals.
- Experience working with operational and time-structured data, models, and ML pipelines.
- Outstanding analytical and problem-solving skills.

-Applicants with completed questionnaires will be reviewed first!
What's In It for You - Very competitive salary range based on experience level
- Great benefits package
- Flexible work schedule
- Work remotely 2-3 days per week!
Benefits - Vacation/PTO
- Medical
- Dental
- Vision
- 401k
- Bonus

So, if you are an MLOps Engineer with experience, please apply today!

-Applicants with completed questionnaires will be reviewed first!
- Applicants must be authorized to work in the U.S.



*CyberCoders, Inc is proud to be an Equal Opportunity Employer*



All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.



*Your Right to Work* - In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

This job has expired.