Introduction
Teradata, a global leader in data analytics and cloud solutions, is seeking skilled professionals to join their team as MLOps Engineers. This role is pivotal in ensuring the efficient development, deployment, and maintenance of machine learning models, directly impacting data-driven decision-making processes.Teradata+1Wikipedia+1
Roles and Responsibilities
As an MLOps Engineer at Teradata, your responsibilities will include:
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Developing and maintaining scalable machine learning pipelines and infrastructure.
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Collaborating with data scientists and software engineers to streamline model deployment processes.
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Implementing monitoring solutions to ensure model performance and reliability in production environments.
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Automating repetitive tasks to enhance efficiency and reduce manual intervention.
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Ensuring compliance with data governance and security standards.
Salary and Benefits
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Salary Range: ₹5.6 Lakhs to ₹15.0 Lakhs per annum, depending on experience and qualifications. AmbitionBox
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Benefits:
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Comprehensive health insurance coverage.
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Flexible work arrangements and supportive work culture.
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Opportunities for professional development and career advancement.
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Access to cutting-edge technologies and tools.
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Application Process
To apply for the MLOps Engineer position at Teradata:
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Visit the Official Careers Page: Access the Teradata Careers Portal and search for “MLOps Engineer” positions in your preferred location.
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Review Job Descriptions: Ensure your qualifications align with the job requirements.
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Prepare Your Application: Update your resume to highlight relevant experience and skills.
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Submit Your Application: Follow the application instructions provided on the job listing page.
Interview Process
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Initial Screening: HR will review your application and may conduct a preliminary phone interview.
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Technical Assessment: You may be required to complete an assessment to evaluate your technical skills.
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Technical Interview: A deeper discussion focusing on your technical knowledge and problem-solving abilities.
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Final Interview: An interview with senior team members to assess your fit within the team and organization.
Conclusion
Joining Teradata as an MLOps Engineer offers a unique opportunity to work on innovative technologies that shape the future of data analytics and machine learning operations. With a commitment to excellence and a culture that fosters growth, Teradata provides the ideal environment for professionals looking to make a significant impact. If you’re ready to take your career to the next level, apply today and become a part of Teradata’s dynamic team.
