Data and MLOps Engineer - Python, Snowflake

5 - 10 years

11 - 16 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Meet the Team

The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasnt immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionize Demand Forecasting and its Enterprise impact. Were working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively.

We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Ciscos Supply Chain in the Top 3 in the world over the last 5 years, and recognized this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category.

Your Impact

  • Run data pipelines in monthly cadence, owning the quality of the output
  • Clean data and maintain pipelines, and make changes to safeguard data quality and reduce execution risks
  • Work closely with data science team to develop new features and enable access for ad hoc research
  • Optimise running of slow or resource heavy pipelines, minimising unnecessary computation and reducing technical debt
  • Aid in transition from pandas pipelines to snowflake environment
  • Own and understand the datasets, their context and logic, and share knowledge with the data science team
  • Perform exploratory research on datasets, uncovering new signals for the team to incorporate in models
  • Develop quality dashboards and expose our data science products to stakeholders
  • Collaborate with infrastructure team to develop and enable new MLOps capabilities and workflows
  • Collaborate with Data Science team to deploy, monitor and maintain ML models, through implementing pipelines and workflows

Minimum Qualifications

  • 5+ years of relevant experience with a Bachelors Degree in Computer Science or related subject
  • Fluent in Python and SQL, and versed in debugging in an IDE such as VSCode
  • Substantial experience working in Snowflake (or another cloud-based DB, e.g. BigQuery)
  • GitHub/Bitbucket and version control, and a strong sense of coding standards and quality
  • Experience building dashboards in tableau and python (e.g. with Streamlit or Flask)
  • Good communication and planning skills, and ability to share knowledge across the team
  • Demonstrated data wrangling and mining skills, including in real-time hackathon-like settings.

Preferred Qualifications

  • Experience working in supply chain or demand planning related data (bookings, manufacturing, backlogs and lead times, etc.)
  • Experience with Agile team and project planning
  • Understanding of CI/CD pipelines and orchestration technologies such as Docker, Kubernetes, Openshift
  • Experience with Spark/Pyspark, Polars

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Cisco

Software Development

San Jose CA

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