| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Hyderabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | FMCG / F&B |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Delivery of key Advanced Analytics projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope - Collaborate with Data Scientists/ML engineers to understand data and models and leverage various advanced analytics capabilities - Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards - Use big data technologies to help process data and build scaled data pipelines (batch to real time) - Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines leveraging the NGAA platform (Azure) - Setup cloud alerts, monitors, dashboards and logging and troubleshoot machine learning infrastructure - Automate ML models deployments Mandatory technical skills: - Experience in Python and SQL is required to build data pipelines - Knowledge of ML Ops / DevOps is required - Knowledge of deploying ML models is required - Possess an intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques - Experience executing and contributing to automation infrastructure - Exceptional analytical and problem-solving skills - Prior experience in working in SCALED AGILE framework - Experience in Spark and Python Nice to Have - Knowledge and experience in relational databases (Teradata preferred), Data Warehousing and ETL/ELT technologies - Experience in Big Data technologies including Hadoop, Data Bricks, etc Years of Experience: - Overall 7+ years of IT experience - 4+ years of work experience in a MLOps / DevOps engineer role - At least 3+ years of experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers (Azure preferred)
Keyskills :
siemidstroubleshootingfirewallssource system analysisscaled agile frameworkbig dataopen sourceproblem solvingdata warehousingmachine learningservice providerscommercial modelsadvanced analyticsrelational databasesbusiness intelligenceenter