ML Ops

4 weeks ago

Noida, Uttar Pradesh, India IRIS software Full time
Job Description

Why Join Us
Are you inspired to grow your career at one ofIndia's Top 25 Best Workplaces in IT industryDo you want to do the best work of your life at one of thefastest growing IT services companies Do you aspire to thrive in an award-winning work culture thatvalues your talent and career aspirations It'shappening right hereat Iris Software.

About Iris Software
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working at Iris
Be valued, be inspired, be your best.
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.
Our employee value proposition (EVP) is about Being Your Best - as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We're a place where everyone can discover and be their best version.

Job Description

.6-8 years of over all experiencewith 3+ years in ML Opsengineering.

.Strong proficiency in Python, with experience in machine learning librariessuch as TensorFlow, PyTorch, scikit-learn, etc.

.Extensiveexperience with ML Ops frameworkslike DataIku (MUST Have),Kubeflow, MLflow, TensorFlow Extended (TFX), .

.Strong experience in deploying and managing machine learning models on AWS environments

.Proficiency in managing CI/CD pipelinesfor ML workflows using tools such as Jenkins, GitLab, CircleCI, etc.

.Hands-on experience with containerization(Docker) and orchestration(Kubernetes) technologies for model deployment.

.Mandatory skills : SageMaker, DataIku, Python, PySpark, AWS Services Good to have: AWS CDK

Mandatory Competencies

Data Science - Machine Learning (ML)
Python - Python
Beh - Communication
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins
DevOps - Github
DevOps - Kubernetes
Big Data - Big Data - Pyspark
Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Data Science and Machine Learning - Data Science and Machine Learning - Python
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Perks and Benefits for Irisians

At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment.
Join us and experience the difference of working at a company that values its employees success and happiness.

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