Primary Skills: Python (Expert), ML Models (Advanced), AWS (Expert), Kubernetes (Advanced), Software Engineering (Advanced),
Contract Type: W2 Contraxct
Duration: 6+ Months
Location: Mountain View CA (Hybrid, 3 days onsite)()
Pay Range: $85.00 - $92.00 Per Hour
#LP
Job Summary
We are seeking an innovative AI and Machine Learning Engineer to join our team. You will be responsible for developing AI tools to automate and improve business processes, and creating solutions for data quality enhancement. Candidates should have a strong background in algorithms, mathematics, statistics, and programming in various languages.
Key Responsibilities
- Develop innovative AI tools to automate and enhance business processes.
- Design and implement data quality improvement tools leveraging AI and Machine Learning.
- Apply advanced algorithms, statistics, and mathematics in problem-solving.
- Utilize programming skills across Python, R, and other languages for development.
- Integrate AI solutions with cloud technologies like AWS and GCP for scalability.
Must-Have Skills
- Expertise in Python and Machine Learning frameworks (e.g., TensorFlow, scikit-learn).
- Proficient in software engineering practices including version control and production-ready coding.
- Strong understanding of data science tools and algorithms.
Domain Experience: Prior experience in developing AI solutions for business process improvement is desirable.
Industry Experience: Experience within technology sectors and familiarity with cloud environments is preferred.
About Akraya
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to
excellence and a thriving work environment.
Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in IT Staffing
As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space.
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