Genpact a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients.

Genpact inviting applications for the role of Software Consultant – Machine Learning Ops Engineer.

Job Designation : Machine Learning Ops Engineer

Qualification : Bachelor’s / Master’s degree

Experience : Freshers / experienced

Skill Set :

1. Proficiency in programming languages, such as Python, Java, or C++.
2. Expertise in MLOps, machine learning engineering.
3. Good knowledge of cloud platforms, such as AWS, GCP, or Azure, and containerization technologies, such as Docker and Kubernetes.
4. Familiarity with big data technologies, such as Hadoop, Spark, and Apache Beam.
5. Strong knowledge of generative AI techniques, such as GANs, VAEs, and transformers.
6. Familiar with SQL and database management systems.
7. Experience with common machine learning frameworks, such as TensorFlow, PyTorch, or Keras.
8. Passion for staying up-to-date with the latest developments in AI and machine learning research, and a commitment to continuous learning and professional growth.
9. Exceptional debugging, testing, and problem-solving skills.
10. Strong communication and teamwork skills.

Job Description :

Machine Learning Ops Engineer will be responsible for the development, deployment, and maintenance of machine learning models and pipelines, ensuring the seamless integration of AI capabilities into our product offerings.

1. Collaborate with our team of data scientists, machine learning engineers, and software developers to design, develop, and deploy scalable machine learning models and pipelines for generative AI applications.
2. Implement robust, automated, and scalable ML workflows, including data pre-processing, feature engineering, model training, evaluation, and deployment.
3. Develop and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and big data technologies.
4. Monitor and manage the performance and reliability of deployed machine learning models, ensuring they meet business requirements and deliver accurate and actionable insights.
5. Implement best practices for version control, testing, and continuous integration/continuous deployment (CI/CD) of machine learning models and pipelines.
6. Evaluate and adopt new ML frameworks, tools, and technologies to enhance the efficiency and effectiveness of our generative AI solutions.
7. Collaborate with cross-functional teams to identify opportunities for leveraging AI capabilities to drive business growth and innovation.
8. Provide technical expertise and guidance on MLOps best practices, as well as contribute to the development of internal tools and processes to improve overall efficiency.

Location : Bengaluru, Karnataka, India