MLOps Engineer at T-Systems

📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company T-Systems 👥 Experience Experienced Professionals 🎓 Qualification Degree in Computer Science, Information Technology, Data Science, Engineering, or Related Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12 – ₹22 LPA 🏢 Industry Technology 🛠 Key Skills software development automation DevOps data science MLOps Engineer at T-Systems — Full Details & How to Apply T-Systems is seeking an innovative MLOps Engineer to join their team in Pune, India . This role offers a unique opportunity to shape the future of technology in a global company, where your contributions will directly influence the deployment and operationalization of machine learning models. The role of an MLOps Engineer is becoming increasingly vital as organizations leverage machine learning to drive strategic business decisions. In today's tech landscape, the demand for skilled professionals in MLOps Engineer jobs is surging, making this position not only relevant but essential for those looking to advance their careers in technology. The integration of machine learning into business processes is transforming industries, and your expertise will play a critical role in enhancing efficiency and performance across various projects. T-Systems stands out as an employer committed to innovation and employee development. With a focus on fostering a collaborative work environment, T-Systems recruitment emphasizes the importance of continuous learning and growth. As an MLOps Engineer , you will have access to cutting-edge technologies and methodologies, ensuring that you remain at the forefront of the industry. The company’s dedication to employee success is reflected in its comprehensive training programs and supportive culture, making it an ideal place for professionals to thrive. This role is ideal for both freshers and candidates with up to 2 years of experience who hold a B.Tech, B.E., MCA, or M.Tech degree. Eligible candidates include 2023, 2024, 2025, and 2026 graduates who are eager to dive into the world of machine learning and automation. If you are passionate about technology and ready to make a significant impact, this opportunity is for you. As an MLOps Engineer at T-Systems , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will also enhance your skills in automation and DevOps practices, equipping you with the tools necessary to excel in the evolving tech landscape. This role not only offers a competitive salary ranging from ₹12 – ₹22 LPA but also positions you for rapid career advancement within a global organization. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate and up-to-date information to apply online and take the next step in your career. Job Role & Responsibilities The role of an MLOps Engineer at T-Systems is pivotal in bridging the gap between machine learning models and production environments. This position focuses on designing and implementing robust MLOps pipelines that enhance the deployment of machine learning solutions across various projects. Design and implement MLOps pipelines that streamline the deployment of machine learning models, ensuring efficiency and scalability. Utilize Kubernetes , Docker , and Jenkins to automate processes, facilitating seamless integration and delivery of machine learning solutions. Collaborate with data scientists , software engineers , and product managers to align machine learning initiatives with business objectives and technical requirements. Monitor and optimize model performance using metrics and analytics , ensuring that deployed models meet operational standards and business needs. Take ownership of the entire machine learning lifecycle , from development to deployment, fostering a culture of continuous improvement and innovation. Document processes and maintain clear communication with stakeholders, ensuring transparency and alignment throughout the project lifecycle. Identify and troubleshoot issues in the MLOps pipeline , driving innovative solutions to enhance system reliability and performance. Participate in code reviews and provide constructive feedback to team members, promoting best practices in software development . This role embodies an ownership culture, where you will have a significant impact on the success of machine learning initiatives at T-Systems , driving innovation and operational excellence. Required Skills & Technical Competencies The ideal candidate for the MLOps Engineer position at T-Systems should possess a diverse skill set that combines technical expertise with collaborative abilities. This role demands proficiency in software development and automation tools to effectively streamline machine learning processes. Technical Skills Python (Advanced) — essential for developing machine learning algorithms and automating workflows. Docker (Intermediate) — used for containerizing applications to ensure consistent environments across development and production. Kubernetes (Intermediate) — critical for orchestrating containerized applications and managing deployment at scale. Jenkins (Intermediate) — utilized for continuous integration and continuous deployment (CI/CD) of machine learning models. Cloud Platforms (AWS/Azure) — familiarity is beneficial for deploying and managing machine learning applications in the cloud. Data Analytics Tools — experience with tools like Tableau or Power BI for monitoring model performance. Soft Skills & Professional Competencies Strong problem-solving — ability to navigate complex challenges in MLOps and propose effective solutions. Effective communication skills — essential for collaborating with cross-functional teams and stakeholders. Time management — adept at prioritizing tasks and managing multiple projects simultaneously. Team collaboration — ability to work effectively within a team environment to achieve common goals. Good to Have (Bonus) Machine Learning Certifications — such as those from Coursera or edX to validate your expertise. Experience with Git — for version control and collaboration on codebases. Knowledge of Agile methodologies — familiarity with Agile practices is a plus. To effectively showcase these skills in your resume or interview, emphasize relevant projects, internships, and any hands-on experience with MLOps practices. Highlight your ability to work collaboratively and your technical competencies that align with the role at T-Systems . Eligibility Criteria This role is designed for recent graduates and experienced professionals who are eager to contribute to the dynamic field of MLOps at T-Systems . Candidates should possess a solid technical foundation and a passion for machine learning. Candidates must hold a degree in Computer Science, Information Technology, Data Science, Engineering, or a related field . Eligible batches include 2023, 2024, 2025, and 2026 passouts. Minimum CGPA of 7.0 is preferred to reflect academic excellence. Prior internship or hands-on project experience is a strong advantage. Both freshers and candidates with up to 3 years of experience are welcome to apply. Certifications in machine learning , DevOps , or related fields will provide a competitive edge. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your educational background, relevant projects, and any internships. Include a GitHub link or portfolio showcasing your work in MLOps and related technologies. Certifications should also be listed to enhance your application. Pro Tip: Tailor your resume to emphasize your experience with automation and collaboration in machine learning projects to improve your application success rate. Salary & Benefits 💰 Compensation ₹12 – ₹22 LPA The compensation philosophy at T-Systems emphasizes a competitive salary structure that reflects the skills and expertise required for the MLOps Engineer role. With a salary range of ₹12 – ₹22 LPA , the company aims to attract top talent in the technology industry while ensuring employee satisfaction and retention. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Performance Bonuses — annual bonuses based on individual and company performance Meal Allowances — daily meal stipends to support work-life balance Transportation Support — assistance for commuting costs to and from work Flexible Work Arrangements — options for hybrid or remote work to enhance productivity Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Mentorship Programs — access to experienced professionals for career guidance Work-Life Balance Initiatives — programs designed to promote mental well-being Internal Mobility Opportunities — pathways for career advancement within the company Employee Recognition Programs — initiatives to celebrate achievements and contributions Career Progression & Salary Growth At T-Systems , employees can expect regular performance appraisals, typically conducted bi-annually, with raise percentages aligning with industry standards, often ranging from 10% to 20% . The company promotes a clear promotion pathway, allowing for rapid career advancement based on performance and contributions. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and any relevant experience that aligns with the MLOps Engineer role to strengthen your position. Selection Process The hiring philosophy at T-Systems focuses on identifying candidates who not only possess the necessary technical skills for the MLOps Engineer role but also align with the company’s culture and values. The selection process is designed to be thorough yet efficient, ensuring the best fit for both the candidate and the organization. 1 Round 1: Initial Screening — review of applications based on qualifications and relevant experience 2 Round 2: Technical Interview — in-depth discussion on MLOps concepts, tools, and problem-solving scenarios 3 Round 3: Behavioral Interview — assessment of cultural fit and teamwork capabilities within T-Systems 4 Final Stage: Offer Extension — selected candidates receive an offer, followed by a background check What Each Round Tests Round 1 focuses on the candidate's qualifications and relevant experience. Round 2 dives deep into technical skills, assessing knowledge of MLOps tools and methodologies. Round 3 evaluates soft skills such as communication and problem-solving abilities, ensuring candidates fit well within the team dynamics. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from T-Systems throughout the process, including updates on interview schedules and outcomes. Interview Prep Tip: Familiarize yourself with common MLOps scenarios and be prepared to discuss your hands-on experience during the technical interview. How to Apply for MLOps Engineer at T-Systems Apply Now — T-Systems Create Your Profile — visit the application portal and set up your account Upload Your Resume — ensure your resume highlights relevant skills and experiences for the MLOps Engineer role Complete the Application Form — fill in all required fields accurately and thoroughly Track Your Application — monitor your application status through the portal for updates Prepare for Interviews — review potential interview questions and practice your responses Resume & Profile Tips for This Role Highlight Technical Skills — emphasize proficiency in Python , Docker , and AWS Showcase Relevant Projects — include any hands-on experience or projects related to MLOps Detail Problem-Solving Experience — provide examples of how you tackled challenges in previous roles Include Soft Skills — mention communication skills and time management abilities Note: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the MLOps Engineer role at T-Systems? Eligibility Tap to expand + Answer Candidates must have a degree in relevant fields and be from the 2023-2026 batches, with a preference for strong academic performance. ? What is the interview process for MLOps Engineer at T-Systems? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focused on MLOps, and a behavioral interview to assess fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer Candidates will primarily work with Kubernetes, Docker, Jenkins, and cloud platforms like AWS or Azure in this role. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹12 – ₹22 LPA, with opportunities for performance bonuses and growth based on contributions. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role offers flexible work arrangements, including hybrid options, aligning with industry trends. ? What is the career growth path after joining T-Systems as an MLOps Engineer? Growth Tap to expand + Answer Career growth includes regular performance reviews, potential promotions, and opportunities for internal mobility within 6-12 months. ? How should I prepare for the MLOps Engineer interview at T-Systems? Preparation Tap to expand + Answer Candidates should review MLOps concepts, familiarize themselves with the tech stack, and prepare for behavioral questions. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant skills and experiences for the MLOps Engineer role. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at T-Systems? Culture Tap to expand + Answer T-Systems promotes a collaborative and inclusive culture, emphasizing continuous learning and teamwork among employees. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com