• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 31st Aug 2022

Skills : Python, Airflow, Databricks, Spark, ML Operations

Job Description:

The vision of the Machine Learning (ML) Engineering team at the client is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to find new ways to scale with our guest and partner base as well as the ever-growing need for ML and experiments.

In this role you will focus on partnering with software services and engineering groups to lead and drive ML applications in those domains. You will conduct data exploration, analysis to motivate and drive ML usage across the engineering and services teams, and provide ML consultancy. You will work on cross-functional products and push the envelope on data and ML focused solutions.

Responsibilities:

• Design and develop infrastructure for the full cycle of machine learning such as workflow management, feature store, data discovery tools, and feature libraries.
• Implement backend microservices for large scale distributed systems using gRPC or REST.
• Lead and drive vision for one or more of ML Platform services
• Drive and maintain a culture of quality, innovation and experimentation
• Work in an Agile environment that focuses on collaboration and teamwork

Basic Qualifications:

• MS or PhD in Computer Science or related fields
• 5+ years of software experience, with 3+ years of relevant ML experience
• Experienced with cloud technologies in AWS or GCP and container systems such as Docker or Kubernetes
• Passion for turning ideas into products and improving the member experience
• Expertise in OO programming, either Python or Java
• Excellent communication and people engagement skills

Preferred Qualifications:

• Familiarity with Python development ecosystem and technologies like Databricks, S3, Spark
• Experience with graph-based data workflows such as Apache Airflow, Meson
• Mentor colleagues on best practices and technical concepts of building large scale solutions