TekWissen ยฎ

AI/ ML Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer based in San Jose, CA, for a 12-month hybrid contract at $50/hour. Requires 5+ years of experience, strong Python skills, LLM/RAG development, and proficiency in agentic LLM technologies.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
440
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๐Ÿ—“๏ธ - Date
October 28, 2025
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
Hybrid
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
San Jose, CA
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๐Ÿง  - Skills detailed
#Deployment #Data Analysis #Security #Scala #Langchain #VPC (Virtual Private Cloud) #AI (Artificial Intelligence) #Pandas #Python #SQL (Structured Query Language) #ML (Machine Learning) #Computer Science #NumPy #Batch #Libraries
Role description
Job Title: AI/ ML Engineer Work Location: San Jose, CA Duration: 12 Months Work Type: Temporary Assignment Job Type: Hybrid Pay Rate: $50.00-50.00/ Hourly Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. This Client is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets. global company that specializes in manufacturing semiconductor devices used in computer processing. The company also produces flash memories, graphics processors, motherboard chip sets, and a variety of components used in consumer electronics goods. Job Description: Responsibility โ€ข Play key role in design, development, and deployment of large-scale high-performance enterprise ready agent frameworks and tools. โ€ข Collaborate with engineering team to understand specific needs and challenges of chip design and ensure our agent platform is well-suited to these needs โ€ข Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications. โ€ข Design, implement, test, and continuously optimize end-to-end RAG pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies. โ€ข Collect & organize training / fine-tuning data and help build domain specific large language models. โ€ข Optimize infrastructure for performance, scalability, and reliability, and ensure secure and efficient management of data. โ€ข Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions. Qualifications โ€ข BS or MS Degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience). โ€ข 5+ years of proven industry experience โ€ข Skilled at rapidly taking products from concept to launch and scaling them massively by performance tuning and optimizing complex, globally distributed systems โ€ข Demonstrable experience or strong projects in LLM/RAG development. โ€ข Strong skills in Python and data analysis libraries (Pandas, NumPy, SQL). โ€ข Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, etc. โ€ข Familiarity with RL, techniques for fine-tuning LLMs (e.g., LoRA), and other emerging ML methodologies. โ€ข Optimize inference and infrastructure for low-latency, cost-effective operation (vLLM/TGI/Triton, batching, caching, quantization) on GPU/accelerators; support on-prem/VPC deployments with enterprise security controls. โ€ข A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results. Top 3-5 Must Have Skills for this role: โ€ข Strong skills in Python and data analysis libraries (Pandas, NumPy, SQL). โ€ข Demonstrable experience or strong projects in LLM/RAG development. โ€ข Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, etc. โ€ข Familiarity with RL, techniques for fine-tuning LLMs (e.g., LoRA), and other emerging ML methodologies. TekWissenยฎ Group is an equal opportunity employer supporting workforce diversity.