Hyderabad Job Vacancies At Capgemini Virtual Drive 2025

Hyderabad Job Vacancies at Capgemini Technology Services India Limited is actively hiring professional MLOps Engineers via its Virtual Drive initiative. With an international presence in over 40 international locations and a robust legacy of offering innovative consulting, virtual, and outsourcing offerings, Capgemini offers a dynamic platform for career growth. As an MLOps Engineer, you’ll be part of a high-performing team that builds, deploys, and manages machine learning to get to know fashions at scale. This function demands a blend of development, operations, and data technological know-how. Join Capgemini to make contributions to superior AI answers, paintings on exciting digital transformation tasks, and be part of a global leader in technology innovation.

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Capgemini Virtual Drive Overview

Company:-Capgemini
Salary:- Not Disclosed
Qualification:– UG, PG
Experienced:- 0 – 1
Work Mode:- WFO/WFH
Job Type:- Full Time

Hyderabad Job Vacancies

Capgemini is imparting thrilling task vacancies in Hyderabad for individuals trying to develop their careers in the IT and virtual services sector. With roles to be had throughout domains, inclusive of software development, MLOps engineering, cloud solutions, and data analytics, Capgemini offers a dynamic work environment that encourages innovation and learning. The organisation seeks professional experts and sparkling graduates keen to make a contribution to high-impact projects for worldwide clients. Working at Capgemini Hyderabad, method am a part of a worldwide era chief with a sturdy commitment to employee development, diversity, and collaboration. This is your risk to enroll in a group shaping the future of digital transformation.

About the Role

Capgemini is hiring MLOps Engineers to resource the improvement and deployment of machine learning models into manufacturing environments. This function includes close collaboration with data scientists, developers, and DevOps organizations to assemble scalable and reliable ML infrastructure. As an MLOps Engineer, you’ll format automation pipelines, display version overall performance, and ensure seamless integration of AI answers with enterprise programs. You may be part of an extreme-acting international team, using the current cloud generation, CI/CD practices, and DevOps tools. This is a brilliant possibility for people passionate about AI, information engineering, and operationalizing machine learning to gain knowledge of answers. Hyderabad Job Vacancies

Responsibilities Hyderabad Job Vacancies

As an MLOps Engineer at Capgemini, your center duty is to bridge the space between device reading improvement and manufacturing deployment. You will broaden, set up, and keep a scalable system studying models the usage of cutting-edge MLOps frameworks and tools. You’ll be responsible for designing and automating give-up-to-prevent facts pipelines, ensuring seamless integration between data ingestion, preprocessing, model training, and deployment. Hyderabad Job Vacancies

Key responsibilities include setting up CI/CD pipelines for ML workflows, configuring cloud-based ML environments (AWS, Azure, GCP), and tracking model universal performance through the use of logging and alert structures. You’ll also work on model manipulation of models and records, permit version retraining, and put in force model governance practices. Additionally, you will collaborate with move-sensible groups to ensure a solid, scalable, and optimized version execution. Hyderabad Job Vacancies

Troubleshooting, keeping infrastructure reliability, and implementing excellent practices for DevOps inside the ML area can be essential. Strong knowledge of containerization (Docker, Kubernetes), scripting languages (Python, Bash), and ML device (MLflow, TensorFlow, PyTorch) is anticipated. The characteristic additionally demands non-prevent learning to adapt to evolving system and methodologies within the MLOps panorama.

Who Can Apply?

Candidates with a bachelor’s or hold close’s diploma in Computer Science, Data Science, Engineering, or related fields are endorsed to use. Fresh graduates with relevant instructional initiatives in machine learning, AI, or DevOps are welcome. Professionals with up to three years of experience in MLOps, DevOps, or ML engineering are ideal.

Applicants have to have a brilliant understanding of device mastering algorithms and realistic revel in with ML libraries like Scikit-study, TensorFlow, or PyTorch. Experience in cloud system (AWS, Azure, or GCP) is an advantage. Effect in python and scripting, with the primary understanding of model manipulation (gIT), container (doors), and orchestration (Kuberanets), is beneficial. Strong analytical and problem-solving talents, curiosity to study, and associates are the ability of art work in tight teams. Knowledge of CI/CD pipelines, model deployment, tracking gear, and ML lifecycle management is a plus.

Capgemini values variety and encourages applicants from all backgrounds, along with women returnees, in a different way-abled individuals, and career switchers with applicable tech certifications. Passion for innovation, notable conversation abilities, and a strong work ethic will help you stand out.

Why Apply?

Joining Capgemini as an MLOps Engineer method being a part of a worldwide tech leader with a strong reputation for virtual innovation and worker development. You’ll be working on exciting AI/ML projects with global clients, gaining hands-on enjoy in cloud computing, DevOps, and gadget mastering.

Capgemini offers hooked up mastering paths, career mobility, and a collaborative work environment that helps non-stop boom. With its inclusive way of life and flexible work options, this is a pleasant possibility for aspiring tech specialists seeking to shape the future of AI-pushed solutions. Apply now to release a worthwhile career with endless possibilities at Capgemini!

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