What are the responsibilities and job description for the Machine Learning Engineer position at Cosmos Tech Solutions?
Role: Machine Learning Engineer(3 positions)
Location of work: Bentonville, AR. remote
Duration: 6-12 months
Description:
Ideal candidate must have 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
Salary : $60 - $65