ML Ops engineer 9 Job Vacancy in Incedo Chennai, Tamil Nadu – Updated today

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Full Details :
Company Name : Incedo
Location : Chennai, Tamil Nadu
Position :

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.
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.
Role Description
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 : 2-4 years.

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.

This post is listed Under  Technology
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