Job Description
Machine Learning Engineer (Infrastructure)
Skillset required : Machine Learning, Infrastructure, GCP, Vertex AI
Description :
○ Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.
○ Proficiency in programming languages Python, Java
○ Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.
○ Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
○ Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
○ Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).
○ Excellent problem-solving and communication skills.
○ Experience with big data technologies such as Apache Spark or Hadoop Preferred.
Compensation, Benefits and Duration
Minimum Compensation: USD 51,000Maximum Compensation: USD 178,000Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.This position is available for independent contractorsNo applications will be considered if received more than 120 days after the date of this post
One of the largest and fastest-growing global IT consulting agencies, Photon supports over 1 billion daily consumer digital touchpoints and has 40 of the Fortune 100 as their clients. Photon is known for creating engaging digital experiences for business on Mobile and Online. Photon has the largest pool of experienced digital engineers with over 5,000 across offices in the US, UK, Canada, Mexico, France, India, Sweden and Indonesia. The company is the leading providers of omnichannel IT solutions for the industry.
