Python ML OPS - Manager
Apply now »Posted On: 11 Feb 2025
Location: Noida, UP, India
Company: Iris Software
Why Join Us?
Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations? It’s happening right here at 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
- Proficiency in Python: Strong experience in Python programming, with knowledge of ML libraries like TensorFlow, PyTorch, Scikit-learn, and other relevant tools.
- Machine Learning Knowledge: Solid understanding of machine learning algorithms, model evaluation, and model optimization techniques.
- DevOps and CI/CD: Experience working with DevOps practices, setting up CI/CD pipelines for ML models using tools like Jenkins, GitLab, or CircleCI.
- Containerization: Expertise in containerization technologies like Docker and Kubernetes for deploying machine learning models.
- Cloud Platforms: Experience with cloud computing platforms like AWS, GCP, or Azure for deploying scalable ML applications.
- Version Control: Familiarity with Git and Git-based workflows for version control and collaboration.
- Automation Tools: Experience with automation tools like Apache Airflow, Kubeflow, or similar for workflow management.
- Data Management: Understanding of data pipelines, data preprocessing, and data wrangling techniques.
Preferred Skills:
- Experience with distributed computing frameworks (e.g., Apache Spark, Dask) and parallel processing for scaling ML workflows.
- Familiarity with model interpretability and explainability techniques.
- Experience with model monitoring tools like Prometheus, Grafana, or ELK stack.
- Knowledge of MLOps platforms and tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX).
Mandatory Competencies
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.