Synergis

Senior Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer focused on Machine Translation Automation in Seattle, with a 6-month contract and an hourly pay rate of $60.00 to $79.10. Key skills include Python, ML lifecycle expertise, and experience with LLMs and NLP.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
632
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πŸ—“οΈ - Date
February 26, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Greater Seattle Area
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🧠 - Skills detailed
#Automatic Speech Recognition (ASR) #Spark (Apache Spark) #TensorFlow #Automation #Cloud #PyTorch #ML (Machine Learning) #NLP (Natural Language Processing) #Big Data #"ETL (Extract #Transform #Load)" #Scala #Computer Science #Python #Statistics #Deep Learning #Deployment #Data Processing
Role description
TITLE: Senior Machine Learning Engineer --- Machine Translation Automation LOCATION: Seattle (Onsite) ANTICIPATED DURATION: 6-month contract Responsibilities: β€’ Develop automation pipelines and tools for training, evaluating, and deploying machine learning models for machine translation and related NLP tasks β€’ Implement and optimize machine learning pipelines with emphasis on distributed data processing, training performance, and efficiency β€’ Build and improve machine learning automation and tooling with a focus on scalable pipeline development and deployment β€’ Collaborate with software engineers and QE to integrate machine learning models into production systems β€’ Work with large quantities of data and apply state-of-the-art deep learning methods to solve real-world problems β€’ Create production-quality models at scale and set up ML CI/CD pipelines Requirements: β€’ Strong machine learning expertise with hands-on experience in model fine-tuning, evaluation, experiment tracking, pipeline building, and deployment β€’ 3+ years of experience across the ML lifecycle, model management, big data (Spark/MapReduce), large distributed systems, and cloud computing β€’ Proficient coding skills in Python and experience with ML infrastructure tools β€’ Excellent communication and problem-solving skills β€’ B.S. or M.S. in Computer Science, Machine Learning, Statistics, or a related field Preferred Experience: β€’ Experience with LLMs and neural machine translation β€’ Deep knowledge of ML frameworks and technologies such as NLP, MT, ASR, PyTorch, TensorFlow, JAX, and transformer architectures The hourly pay rate range for this position is $60.00 to $ 79.10 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to btolley@Synergishr.com. If you require assistance or an accommodation in the application or employment process, please contact us at btolley@Synergishr.com. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at www.synergishr.com.