Epergne Solutions is looking for Senior ML Ops Engineer.Experience : 6+ yearsPayroll: Epergne SolutionsLocations: Chennai, Bengaluru, Pune, Hyderabad, Bhubaneshwar, Chandigarh, GurugramWhat will you need?University Degree in Computer Science, Information Technology, or related field6+ years of experience in the Machine Learning Operations roleDesign the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scaleTake offline models data scientists build and turn them into a real machine learning production systemDevelop and deploy scalable tools and services for our clients to handle machine learning training and inferenceIdentify and evaluate new technologies to improve performance, maintainability, and reliability of our clients machine learning systemsApply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.Support model development, with an emphasis on auditability, versioning, and datasecurityFacilitate the development and deployment of proof-of-concept machine learningsystemsCommunicate with clients to build requirements and track progressStrong analytic skills related to working with structured, semi structured and unstructureddatasetsDocker and KubernetesExperience in using popular ML Ops frameworks like Kubeflow, ML Flow, and Data RobotAbility to build ML Ops pipelinesStrong Python programming knowledgeKubeflowPoetry for package managementBlack, ruff, isort, flake8 for code clean upGitHub ActionsMachine learning techniques: Decision Trees, Random Forest, Boosting Algorithm,Neural Networks, Deep Learning, Support Vector Machines, Clustering, BayesianNetworks, Reinforcement Learning, Feature Reduction / engineering, Anomalydeduction, Natural Language Processing (incl. sentiment analysis, Topic Modelling),Natural Language GenerationAbility to design and implement cloud solutions - AzureAwareness of Agile / Scrum ways of workingIdentify the right modelling approach(es) for given scenario and articulate why theapproach fitsAssess data availability and modelling feasibilityReview interpretation of models resultsExperience in Logistic industry domain would be added advantageYou should have:Certifications in some of the core technologiesAbility to collaborate across different teams/geographies/stakeholders/levels of seniorityCustomer focus with an eye on continuous improvement;Energetic, enthusiastic and results-oriented personalityAbility to coach other team members, you must be a team player!Strong will to overcome the complexities involved in developing and supporting datapipelinesReady 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 andworkload pressure.Working in a multinational environment, you can expect cross-regioncollaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.
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