Salesforce Hyderabad Senior ML Engineer Posts | Bachelor’s Degree/Master’s Degree | Apply Now

Salesforce is an American cloud-based software company, sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.  

In the latest job announcement, Salesforce announces job vacancies for Senior ML Engineer posts, with work location in Hyderabad.

Under Salesforce Hyderabad Senior ML Engineer 2025 Jobs, candidates having required skills in Kubernetes, Docker, Apache Airflow, and Python can apply.

The selected candidate will be recruited with a permanent and full-time job.

An Interested and qualified candidate has to apply through online mode.

Job Designation: Senior ML Engineer.

Job Code: JR291237.

Education Qualification: Bachelor’s Degree/Master’s Degree.

Experience Level: 5+ years.

Job Location: Hyderabad.

Apply Mode: Online.

Responsibilities:

• Design and develop scalable ML platforms and pipelines leveraging cloud and open-source technologies, and contribute to establishing coding standards and workflows
• Implement MLOps best practices for model serving, monitoring, and lifecycle management; and handle occasional on-call support and incident response for production ML systems
• Optimize ML workflows for scale, performance, and cost-efficiency; review and maintain existing tool-sets and codebases
• Collaborate with Data Science, Data Engineering, Product, and Marketing teams to create ML-driven decision-making data products
• Evaluate and adopt emerging ML technologies; contribute to the ML community and open-source projects
• Lead the design and deployment of ML model pipelines in collaboration with Data Science and Data Engineering teams
• Implement infrastructure-as-code, CI/CD, and automation for efficient ML operations
• Support the rollout of ML features, working closely with Product and Marketing teams
• Assist in defining and implementing ML governance policies
• Participate in scaling operations by developing automation scripts and reusable libraries
• Contribute to documenting best practices and creating technical documentation for ML systems

Position Requirements:

• 5+ years of experience building and deploying ML model pipelines at scale
• Expert-level knowledge of containerization, orchestration, and workflow management technologies (e.g., Kubernetes, Docker, Apache Airflow) for deploying and managing complex ML pipelines at scale
• Advanced Python skills, including expertise in ML-specific libraries and best practices
• Extensive experience with cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google Cloud AI)
• Proven track record in implementing MLOps best practices, including CI/CD, automated testing, and code quality assurance
• Proficiency in ML frameworks (e.g., TensorFlow, PyTorch, Keras) and MLOps tools (e.g., MLflow, Kubeflow)
• Strong experience in cloud infrastructure management, including IaC, monitoring, and big data technologies
• Strong problem-solving skills and strong technical communication skills within the team
• Experience contributing to ML projects that deliver measurable business value in marketing or customer analytics

How to apply:

Interested and qualified job applicants have to apply through online mode, by initially registering with Salesforce career portal and login in to apply.

Apply online:

https://careers.salesforce.com/en/jobs/jr291237/senior-ml-engineer/

For more information about Salesforce vacancies, visit the Salesforce Recruitment page.