Hello,
This is very urgent requirement please send resume @rakesh.kjain76@gmail.com
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.