Senior ML Ops Engineer

1 week ago

Hyderabad, India Epergne Solutions Full time

Epergne Solutions is looking for Senior ML Ops Engineer.

Experience : 6+ years

Payroll: Epergne Solutions

Locations: Chennai, Bengaluru, Pune, Hyderabad, Bhubaneshwar, Chandigarh, Gurugram


What will you need?

 University Degree in Computer Science, Information Technology, or related field

6+ years of experience in the Machine Learning Operations role

 Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale

 Take offline models data scientists build and turn them into a real machine learning production system

 Develop and deploy scalable tools and services for our clients to handle machine learning training and inference

 Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems


 Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.

 Support model development, with an emphasis on auditability, versioning, and data

security

 Facilitate the development and deployment of proof-of-concept machine learning

systems

 Communicate with clients to build requirements and track progress

 Strong analytic skills related to working with structured, semi structured and unstructured

datasets

 Docker and Kubernetes

 Experience in using popular ML Ops frameworks like Kubeflow, ML Flow, and Data Robot

 Ability to build ML Ops pipelines

 Strong Python programming knowledge

 Kubeflow

 Poetry for package management

 Black, ruff, isort, flake8 for code clean up

 GitHub Actions

 Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm,

Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian

Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly

deduction, Natural Language Processing (incl. sentiment analysis, Topic Modelling),

Natural Language Generation

 Ability to design and implement cloud solutions - Azure

 Awareness of Agile / Scrum ways of working

 Identify the right modelling approach(es) for given scenario and articulate why the

approach fits

 Assess data availability and modelling feasibility

 Review interpretation of models results

 Experience in Logistic industry domain would be added advantage


You should have:

 Certifications in some of the core technologies

 Ability to collaborate across different teams/geographies/stakeholders/levels of seniority

 Customer focus with an eye on continuous improvement;

 Energetic, enthusiastic and results-oriented personality

 Ability to coach other team members, you must be a team player

 Strong will to overcome the complexities involved in developing and supporting data

pipelines


Ready to embark on the journey? Here’s what we are looking for:


As a Senior ML Ops Engineer, having Machine Learning skill set is a huge plus.

Very good knowledge of ML Model deployment will also be an integral part of this role.

You are a technology aficionado, therefore you have a good understanding of Python, CI/CD pipeline.

You are able to work independently, prioritize and organize your tasks under time and workload pressure.

Working in a multinational environment, you can expect cross-region

collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.







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