Akkodis
Akkodis is seeking an Engineer for a contract job with a client in San Jose, CA. Candidates must have hands-on experience with large language models (LLMs) and proficiency in Python with deep learning frameworks.
Rate Range: $53/hour to 68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Engineer job responsibilities include:
- Develop and fine-tune large language models (LLMs) using advanced deep learning frameworks and Python.
- Apply PEFT techniques such as LoRA and QLoRA to optimize model performance and efficiency.
- Implement machine learning strategies including supervised learning, transfer learning, and model optimization.
- Diagnose and resolve complex technical issues through strong analytical and problem-solving skills.
- Collaborate with cross-functional teams to integrate AI solutions and ensure smooth project execution.
- Stay current with advancements in LLM architectures and contribute to research and development efforts.
- Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.
- Minimum 3-5 years of experience in machine learning and deep learning model development.
- Proven expertise in training and optimizing large language models (LLMs), including familiarity with their architecture.
- Hands-on experience with PEFT techniques such as LoRA and QLoRA, and strong proficiency in Python and deep learning frameworks.
Pay Details: $53.00 to $68.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
- The California Fair Chance Act
- Los Angeles City Fair Chance Ordinance
- Los Angeles County Fair Chance Ordinance for Employers
- San Francisco Fair Chance Ordinance