An exciting opportunity for the one having at least 4 years of experience working with ML services and DevOps concepts, and practices. The candidate must have experience working in cross-functional Agile engineering teams and familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines.
Location - Bangalore/Hyderabad/Chennai
Your future employer- A global leader in AI and analytics, dedicated to helping Fortune 1000 companies tackle their most challenging problems.
Responsibilities:
Operating and maintaining systems supporting the provisioning of new clients, applications, and features.
Day-to-day monitoring of the production service delivery environment to ensure all services and applications are operating optimally and SLAs are met.
Handling/managing E2E ML lifecycle.
Building E2E ML pipeline/accelerators for either batch or real-time predictions.
Requirements:
At least 4 years’ experience working with ML services and DevOps concepts, and practices.
Experience working in cross-functional Agile engineering teams.
Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines.
Model management and model performance monitoring (drift monitoring).
Git for Source code management.
Knowledge of machine learning frameworks (either of): Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
Hands-on Python 3.x, Pandas, NumPy, SQL
Hands-on with REST API for real-time and near real-time (streaming) servings.
Reach us- If this role excites you, feel free to reach me at aayushi.grover@crescendogroup.in
Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note- We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you dont hear back from us in 1 week. Your patience is highly appreciated.
Profile Keywords - Data Science, Azure, MLops, MLFlow, Azure ML, ML Pipelines, AWS, GCP