Sr. Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Machine Learning Engineer, a contract position in Plano, Texas, paying $70.00 - $90.00/hr. Requires 5+ years of experience in Machine Learning, proficiency with Spark, AWS services, and SageMaker, along with strong problem-solving skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
720
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Plano, TX
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🧠 - Skills detailed
#Programming #"ETL (Extract #Transform #Load)" #Data Cleansing #AWS (Amazon Web Services) #Databricks #R #Datasets #Scala #SageMaker #Deep Learning #DynamoDB #MLflow #Monitoring #Data Analysis #Lambda (AWS Lambda) #ML (Machine Learning) #Spark (Apache Spark) #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service) #Data Cleaning #Classification
Role description
Machine Learning Engineer - Cutting edge/Emerging AI Technologies Job Description We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for developing and implementing scalable machine learning solutions that meet our business needs. This role requires a commitment to maintaining high coding standards and fostering collaboration across various teams. Responsibilities β€’ Write clean, maintainable code while complying with coding standards. β€’ Execute the full modeling life cycle, including data cleansing, feature creation, and iterative model selection. β€’ Build scalable, efficient, automated processes for large-scale data analysis, model development, validation, and implementation. β€’ Utilize statistical, machine learning, and deep learning techniques to create scalable solutions and conduct R&D for next-generation products. β€’ Drive the adoption of best practices across organizations. β€’ Deliver production-ready code. β€’ Collaborate with Product Owners to define KPIs for machine learning projects. β€’ Stay updated with developments in research methodology and changing technologies, applying these to improve existing methods. β€’ Prepare and present findings to both technical and non-technical audiences. β€’ Align projects with time, budget, and resource constraints to support global vision. β€’ Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve customer needs. Essential Skills β€’ 5+ years of hands-on experience in Machine Learning in a corporate environment. β€’ Proficiency with Spark and EMR for large ETL jobs. β€’ Experience with ETL tasks using optimized Databricks queries. β€’ Designing, implementing, monitoring, and updating ML pipelines using SageMaker or MAF. β€’ Experience with SageMaker for data cleaning, model selection, model training, and optimization. β€’ Familiarity with AWS Services - S3, DynamoDB, Lambda, Kinesis. β€’ Proficiency in MLFlow for model metric and artifact generation and monitoring. β€’ Experience combining data from multiple datasets. β€’ Developing CI/CD pipelines, unit and functional testing. β€’ Establishing model monitoring and model update pipelines. β€’ Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions. β€’ Proficient problem-solving skills with the ability to develop creative solutions and strategies. β€’ Ability to learn and apply new technologies, programming practices, patterns, and methods. β€’ Experience collaborating effectively with cross-functional teams. β€’ Demonstrated ability to take ownership of projects and tasks, ensuring quality and deadlines are met. β€’ Results-driven with a track record of setting goals and delivering measurable outcomes. Work Environment This role offers a hybrid work environment, combining the benefits of remote work with the necessity of in-office collaboration. The team operates with a flexible schedule, ensuring a balanced approach to professional responsibilities and personal commitments. Job Type & Location This is a Contract position based out of Plano, Texas. Pay And Benefits The pay range for this position is $70.00 - $90.00/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 β€’ Medical, dental & vision β€’ Critical Illness, Accident, and Hospital β€’ 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available β€’ Life Insurance (Voluntary Life & AD&D for the employee and dependents) β€’ Short and long-term disability β€’ Health Spending Account (HSA) β€’ Transportation benefits β€’ Employee Assistance Program β€’ Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Plano,TX. Application Deadline This position is anticipated to close on Sep 11, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. 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. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.