Job Description

Company Overview

Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 2,500 people helping clients from our six offices across US and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, financial services, product engineering and life science & healthcare industries.
br
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities are also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.

3B_MLOps._GCP

Role Description: ML Engineer/ML Operations Engineer
The ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with little supervision. The person should be a self-motivated person with a passion for problem solving and continuous learning.
Experience :2-6 years.

GCP Certified preferred.

Role and responsibilities

• Project Management (50%)
• Front Door (Requirements, Metadata collection, classification & security clearance)
• Data pipeline template development
• Data pipeline Monitoring development & support (operations)
• Design, develop, deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation tracking dashboards.
• Manage ETL and machine learning model lifecycle: develop, deploy, monitor, maintain, and update data and models in production.
• Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.

Technical skills requirements
The candidate must demonstrate proficiency in,

• Experience deploying machine learning models into production environment.
• Strong DevOps, Data Engineering and ML background with Cloud platforms
• Experience in containerization and orchestration (such as Docker, Kubernetes)

• Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open source frameworks.
• Experience building/operating systems for data extraction, ingestion and processing of large data sets
• Experience with MLOps tools such as MLFlow and Kubeflow
• Experience in Python scripting
• Experience with CI/CD
• Fluency in Python data tools e.g. Pandas, Dask, or Pyspark
• Experience working on large scale, distributed systems
• Python/Scala for data pipelines
• Scala/Java/Python for micro-services and APIs
• HDP, Oracle skills & Sql; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC)

Nice-to-have skills

• Jenkins, K8S
• Google Cloud certification
• Unix or Shell scripting

Qualifications

• B.Tech., M.Tech. or MCA degree from a reputed university

Company Value

Company Value

We are an Equal Opportunity Employer. We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Incedo