Machine Learning Engineer | Onsite at Bentonville, Arkansas, USA |
Email: [email protected] |
From: Amit, technocraft solution [email protected] Reply to: [email protected] Hello, Hope you are doing well My name is Amit Kumar and I'm a Technical Recruiter at Technocraft solutions. We provide IT Consulting Services to our customers immediate and long-term resource needs. I am contacting you either because your resume has been posted to one of the internet job sites to which we subscribe or you had previously submitted your resume to Technocraft solutions. Role: Machine Learning Engineer(3 positions) Location of work: Bentonville, AR. Onsite Duration: 6-12+ months Relocation works Description: This is not a consulting role alone or project management role. Experience with Optimization (LP and other techniques) and Forecasting Area, for Store and Products in Store They should understand Retail store domain very well, should have experience in working in Retail Data Science Projects They are supposed to by proficient in Python, Kafka Integration, Infrastructure Provisioning and to minimize cloud spend Cloud is Azure Responsibilities o Defines MLOps processes and assists in model deployments o Works closely with Data Scientists in refactoring the model training pipelines o Automate model training pipelines o Employ AI/ML architectural knowledge as well as standard DevOps pipelines to achieve data science objectives (e.g., developing a feature store, training/deploying ML models, etc.) o Implement standard DevOps tools (e.g., Git, Jenkins, Docker, CI/CD pipelines, etc.) o Recommend appropriate technologies/applications to enable strategic data management, model management, and risk considerations o Ensure platform is scalable, reliable, and performant o Assists in outlining new integration patterns with on demand solutions Required Skills o Proficiency in Spark, Java/Scala, Hadoop, Kafka, Python o Solid experience of SQL and NoSQL database technologies. o Experience in developing REST APIs, event & message driven applications using Kafka or other messaging queue o Experience in building batch and streaming data pipelines o Experience working in Agile/Scrum setup o Experience working with Data Scientist in converting model to production code o Experience with building model inference pipelines o Hands on experience in defining CI/CD pipelines for enterprises e.g. Concord/Jenkins/etc. o Experience deploying applications in GCP o MS degree in Computer Science or related field Keywords: continuous integration continuous deployment artificial intelligence machine learning access management information technology microsoft Arkansas Machine Learning Engineer | Onsite [email protected] |
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Fri Oct 25 19:15:00 UTC 2024 |