Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in San Jose, CA (Hybrid - 3 days onsite/week) for 6-12 months at $45-55/hr on W2. Key skills include LLM development, ML frameworks, Python, and API integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
September 28, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Databases #PyTorch #Computer Science #Python #API (Application Programming Interface) #ML (Machine Learning) #NLP (Natural Language Processing) #Generative Models #MongoDB #TensorFlow #Programming #Data Processing #Data Lake #Kubernetes #Docker
Role description
Position: Machine Learning Engineer
Location: San Jose, CA (Hybrid - 3 Days Onsite/Week).
Duration: 6-12 Months
Pay Rate: $45-55/hr on W2
Mandatory Requirements:
• Formal background in Computer Science.
• Experience building LLMs (small, medium, or large).
• Strong understanding of foundational ML/LLM concepts.
• Junior to mid-level practitioners; hands-on role.
• Proficiency with ML frameworks (TensorFlow, PyTorch)
• NLP and Large Language Models (LLMs) experience
• Strong understanding of generative models and applications
• Programming skills in Python.
• API development and model integration expertise
• Familiarity with Docker, Kubernetes Knowledge of CI/CD pipelines, databases(MongoDB), data lakes, or real-time data processing tools
BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.
Position: Machine Learning Engineer
Location: San Jose, CA (Hybrid - 3 Days Onsite/Week).
Duration: 6-12 Months
Pay Rate: $45-55/hr on W2
Mandatory Requirements:
• Formal background in Computer Science.
• Experience building LLMs (small, medium, or large).
• Strong understanding of foundational ML/LLM concepts.
• Junior to mid-level practitioners; hands-on role.
• Proficiency with ML frameworks (TensorFlow, PyTorch)
• NLP and Large Language Models (LLMs) experience
• Strong understanding of generative models and applications
• Programming skills in Python.
• API development and model integration expertise
• Familiarity with Docker, Kubernetes Knowledge of CI/CD pipelines, databases(MongoDB), data lakes, or real-time data processing tools
BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.
