- Overall 10+ years' experience delivering DevOps and MLOps in a Production/Enterprise setting.
- Excellent written and oral communication and presentation skills.
- Experienced in a technical role involving platform and infrastructure operation.
- System administration experience of Unix or Linux systems.
- Container-based deployment experience using Docker and Kubernetes.
- Proficient with the machine learning modeling lifecycle and comfortable addressing both functional and technical aspects of model delivery
- Experience managing and deploying large distributed systems like Spark, DASK & H20, and heterogeneous platform components.
- Experienced with programming languages like Python or R and comfortable in understanding the statistical foundations of most used ML algorithms.
- Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc.
- Preferred hands-on experience with IBM Watson Machine Learning systems or related preferred
- Preferred hands-on experience with HPC – Nvidia, CUDA
- Preferred experience with configuration Management tools like Ansible, puppet
- Preferred experience in monitoring and performance analysis of Machine Learning platforms using tools like Grafana and Zabbix.
- You are respectful and act with the highest integrity. If you see something that isn't right, you say something.
- You ask questions to understand a perspective and are comfortable respectfully challenging assumptions. You are not turned off by constructive conflict to get to the right answer.
- You set clear ambitious goals. You anticipate obstacles, persevere, and are accountable for your commitments.
- You aren't afraid to challenge the status quo and know that there's no such thing as failure if you learn from it.
- You seek out feedback and never settle in your quest to grow and develop. By being here, you make our company stronger.
- You deeply understand and respect our users and put them at the center of everything you do.
DevOps / MLOps Engineer - Bengaluru, India - Incubit
Description
About Incubit, and the difference we make.
Here at Incubit, we believe in doing work that makes an impact on the World. We are an enterprise solutions company, providing integrated technology consulting, services, products and outsourcing to our clients across the globe. With an incredibly talented and diverse team who love working with us, we combine our unparalleled problem-solving abilities with extensive experience across core business functions to create unmatched value at all business levels.
We collaborate with clients to help them become high-performance businesses by elevating experiences across their business spectrum. Our passion resonates in the work that we do, so if you are all in. So are we. Website:
Job Title: MLOps Engineer
Location: Bangalore
Work Model: Work from Office
Notice Period: Immediate to 30 days (Notice Serving)
Responsibilities:
Build, install, configure, manage, and scale state-of-the-art machine learning platform in the cloud (Azure preferred) and on-premises powering client's Data and Analytics products and solutions.
Work with data scientists, architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the cloud and on-premises to solve complex problems.
Creating and maintaining ML/DL pipelines and overall ML/DL workflow orchestration including but not limited to data collection, prep, transform, analyze, experiment, train, validate, serve, monitor, etc.
Implement ML/DL solutions addressing performance, scalability, and the governance/ traceability of machine learning models.
Iterate quickly through the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services.
Qualifications:
Values we would love you to have:
At Incubit, we deeply believe that your career is about what you want to be and who you want to be. It's about bringing your skills, your passion and your best true self to your work. We invite you to go for it, take the leap of faith, and apply for this job if it sparks your curiosity. Join Incubit and make an Impact