Job Specifications
Job Title: MLOps Engineer
Location: San Jose, CA
Years of Experience: 7+ Years
Rate: $50/hr on W2 & $60/hr on C2C
Job Summary
We are seeking a skilled MLOps Engineer with a strong background in AI/ML engineering to join our dynamic team at Google Inc. The ideal candidate will have 5 to 7 years of experience in deploying and managing machine learning models in production environments. You will be responsible for building and maintaining MLOps pipelines, ensuring seamless integration of machine learning workflows, and optimizing model performance.
Responsibilities
Design, implement, and manage MLOps pipelines for deploying machine learning models.
Collaborate with data scientists and software engineers to integrate machine learning models into production systems.
Utilize TensorFlow for model development and deployment.
Containerize applications using Docker and orchestrate them with Kubernetes.
Monitor and optimize model performance in production environments.
Implement best practices for version control, CI/CD, and model governance.
Stay updated with the latest trends and technologies in MLOps and AI/ML engineering.
Provide technical guidance and support to team members.
Mandatory Skills
Proven experience with MLOps platforms and frameworks.
Strong proficiency in TensorFlow for machine learning model development.
Hands on experience with Docker for containerization.
Experience with Kubernetes for orchestration and management of containerized applications.
Solid understanding of machine learning concepts and algorithms.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for deploying ML solutions.
Preferred Skills
Experience with other MLOps tools such as MLflow, Kubeflow, or TFX.
Knowledge of data engineering practices and tools.
Experience with monitoring and logging tools for production systems.
Familiarity with Agile methodologies and DevOps practices.
Strong problem solving skills and ability to work in a fast paced environment.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
5 to 7 years of relevant experience in MLOps or AI/ML engineering.
Strong communication skills and ability to work collaboratively in a team.
Proven track record of successfully deploying machine learning models in production.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.