ML / MLOPs Engineer

Job Title: - ML / MLOPs Engineer
Location: - Noida (Sector- 132)
Experience: 1+ year
Brief Job Description:
The ML/MLOps Engineer is responsible for developing, deploying, and maintaining machine learning models and ensuring their seamless integration into production systems. This role involves automating ML pipelines, optimisingg model performance, managing data workflows, and collaborating with data scientists, software engineers, and DevOpsteams to operationalisee AI/ML solutions efficiently.
Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 1 year of experience in machine learning operations (MLOps), cloud engineering, or similar roles

. • Proficiency in Python, with hands-on experience using libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.

• Strong experience with Azure Machine Learning services, including Azure ML Studio, Azure Databricks, and Azure Kubernetes Service (AKS).
• Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle.
• Expertise in Docker, Kubernetes, and container orchestration for deploying machine learning models at scale.
• Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake.
• Strong understanding of NLP, CV, or GenAI programming, along with the ability to apply these techniques to real-world business problems.
• Experience with Git, Azure DevOps, or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms, model training, evaluation, and hyperparameter tuning

Share your CV to : hr.bluechik@gmail.com

Job Types: Full-time, Permanent

Pay: ₹225,907.18 - ₹1,439,378.72 per year

Benefits:

• Provident Fund

Work Location: In person