Company
TEKsystems c-o Allegis Group
United States of America
Location
Remote Position
(From Everywhere/No Office Location)
Job type
Full-Time
Golang Job Details
Description
Key Responsibilities - Design, develop, and maintain machine learning models to improve Skylar's automation and analytics capabilities. - Collaborate with product, engineering, and data science teams to identify opportunities to enhance the product using machine learning. - Build and optimize scalable data pipelines for training and deploying machine learning models. - Write clean, maintainable, and efficient code in Go Lang and/or Python for ML model integration and backend services. - Implement and monitor machine learning workflows to ensure robust performance and address challenges like model drift. - Stay up-to-date with the latest advancements in machine learning and apply them to real-world use cases. - Ensure compliance with data governance, security, and privacy standards in all machine learning applications. - Convert data science prototypes into production-ready models. - Develop and maintain end-to-end ML pipelines (data ingestion ? model training ? deployment ? monitoring). - Implement model versioning, feature engineering, and model serving APIs. - Work closely with data engineers (for data quality) and DevOps/MLOps engineers (for deployment & scaling). - Optimize training performance (e.g., distributed training, hyperparameter tuning). Typical Skills: - Strong in Python, TensorFlow/PyTorch, and Scikit-learn. - Experience with MLflow, Kubeflow, or SageMaker. - Knowledge of CI/CD pipelines and containerization (Docker, Kubernetes). - Familiarity with data version control (DVC) and feature stores. ________________________________________ Qualifications Required Skills & Experience Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of hands-on experience in designing and implementing machine learning solutions. Proficiency in Go Lang and/or Python with a proven ability to write efficient, production-ready code. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data processing and pipeline tools (e.g., Apache Kafka, Airflow, or similar). Familiarity with deploying machine learning models using cloud platforms like AWS, Google Cloud Platform, or Azure. Strong knowledge of algorithms, data structures, and distributed systems. Preferred Skills Knowledge of microservices architecture and API development. Experience with MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines). Understanding of time series data and its application in machine learning. Strong communication and collaboration skills for working in cross-functional teams.
Skills
Python, golang, Aws, AI
Top Skills Details
Python,golang,Aws,AI
Additional Skills & Qualifications
Can sit 100% remote anywhere in the United States,
Experience Level
Intermediate Level
Job Type & Location
This is a Contract to Hire position based out of Remote, OR.
Pay and Benefits
The pay range for this position is $70.00 - $80.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Nov 21, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Key Responsibilities - Design, develop, and maintain machine learning models to improve Skylar's automation and analytics capabilities. - Collaborate with product, engineering, and data science teams to identify opportunities to enhance the product using machine learning. - Build and optimize scalable data pipelines for training and deploying machine learning models. - Write clean, maintainable, and efficient code in Go Lang and/or Python for ML model integration and backend services. - Implement and monitor machine learning workflows to ensure robust performance and address challenges like model drift. - Stay up-to-date with the latest advancements in machine learning and apply them to real-world use cases. - Ensure compliance with data governance, security, and privacy standards in all machine learning applications. - Convert data science prototypes into production-ready models. - Develop and maintain end-to-end ML pipelines (data ingestion ? model training ? deployment ? monitoring). - Implement model versioning, feature engineering, and model serving APIs. - Work closely with data engineers (for data quality) and DevOps/MLOps engineers (for deployment & scaling). - Optimize training performance (e.g., distributed training, hyperparameter tuning). Typical Skills: - Strong in Python, TensorFlow/PyTorch, and Scikit-learn. - Experience with MLflow, Kubeflow, or SageMaker. - Knowledge of CI/CD pipelines and containerization (Docker, Kubernetes). - Familiarity with data version control (DVC) and feature stores. ________________________________________ Qualifications Required Skills & Experience Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of hands-on experience in designing and implementing machine learning solutions. Proficiency in Go Lang and/or Python with a proven ability to write efficient, production-ready code. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data processing and pipeline tools (e.g., Apache Kafka, Airflow, or similar). Familiarity with deploying machine learning models using cloud platforms like AWS, Google Cloud Platform, or Azure. Strong knowledge of algorithms, data structures, and distributed systems. Preferred Skills Knowledge of microservices architecture and API development. Experience with MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines). Understanding of time series data and its application in machine learning. Strong communication and collaboration skills for working in cross-functional teams.
Skills
Python, golang, Aws, AI
Top Skills Details
Python,golang,Aws,AI
Additional Skills & Qualifications
Can sit 100% remote anywhere in the United States,
Experience Level
Intermediate Level
Job Type & Location
This is a Contract to Hire position based out of Remote, OR.
Pay and Benefits
The pay range for this position is $70.00 - $80.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Nov 21, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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