Machine Learning Engineer - Local to CA ONLY - W2 - 4days remote & 1day Onsite

Machine Learning Engineer Location: Los Altos, CA (Hybrid) Rate: $60/hr on W2 Duration: 6 month to start with potential to extend longer or hire to FTE Local candidates only. Must have: Must have: Automotive /Audio-Visual/Audio-Video manufacturer experienceMust have: PyTorch, VLM (Vision Language Model)Client needs a Non-Junior, more seasoned ML engineerPyTorch, computervision, training, fine-tune, data processing in addition to experience with auto maker industry.Candidates also need LLM (larg

Machine Learning Engineer Location: Los Altos, CA (Hybrid) Duration: 6 month to start with potential to extend longer or hire to FTE Local candidates only. Hybrid Schedule: Option 1: 4-day workweek (10-hour days) with Fridays off, at least 1 day onsiteOption 2: Standard workweek (4 days remote, at least 1 day onsite).The hiring manager is usually onsite Tuesdays and Wednesdays.Candidate must be local. Must have: Must have: Automotive /Audio-Visual/Audio-Video manufacturer experienceMust have: P

Title : ML Engineer Location : Palo Alto, CA (Onsite) F2F round of Interview Job Description: Strong working experience with big data tools: Spark, Kafka, Snowflake, etcExperience in AWS/Azure cloud architecturesPartitioning recommendation for data in memoryManaging a multi-user environmentExperienced with common SQL & NO SQL databases, e.g. PostgreSQL, MongoDB, RedisExperience developing applications in Python/JavaStrong knowledge in object-oriented/object function scripting languages: Python,

Job Title: Machine Learning Engineer with LLM Location: San Jose, CA (Hybrid) Experience: 08+ Years Visa: USC/ EAD Duration: Long-term contract- any work authorization Job Details: Were seeking a Machine Learning Engineer to design and implement scalable AI/ML solutions that drive product innovation and business insights. This role partners closely with data scientists, software engineers, and product managers to bring ML capabilities into production. Projects:This role focuses on applying mac