ML Infrastructure Engineer c2c job opportunities Mountain View, CA

ML Infrastructure Engineer

Mountain View, CA / Remote (PST Time Zone)

Mandatory : Need minimum 8+ Years 

Job Summary:
We are seeking an experienced Senior Engineer, Analytics with a focus on Machine Learning to join our team. As a Senior Engineer, you will play a key role in designing, building, and maintaining our machine learning infrastructure. You will work closely with our data scientists, product managers, and other engineers to develop and deploy scalable, efficient, and reliable machine learning models.
Requirements:
Bachelor’s degree in Computer Science or a related field
5+ years of experience in software engineering, with a focus on machine learning infrastructure
Proficient in programming languages such as Java, Python or Scala
Experience with a public cloud provider, with a strong preference for GCP
Familiarity with ML frameworks such as TensorFlow, PyTorch, and ML libraries such as scikit-learn
Knowledge of DevOps principles and practices
Understanding of containerization technologies such as Docker and Kubernetes
Experience with VertexAI is strongly preferred
Excellent problem-solving skills, with the ability to work independently and collaboratively
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
Certification in a public cloud provider or a relevant technology is a plus
Experience with data warehousing and data lake technologies is a plus 
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.

Regards,