Job Description
We are seeking a highly skilled and motivated Machine Learning Engineer with hands-on experience in deploying, scaling, and maintaining machine learning models using AWS and Azure Machine Learning platforms. The ideal candidate will have a strong background in data science, MLOps, and cloud computing, and will work closely with data scientists, engineers, and product teams to deliver robust AI solutions.
Key Responsibilities:
Design, develop, and deploy ML models in production environments using AWS SageMaker and Azure Machine Learning.
Collaborate with data scientists to transition models from experimentation to scalable, reliable, and maintainable production systems.
Build and manage automated ML pipelines (CI/CD) for model training, testing, and deployment.
Optimize model performance and resource usage across cloud platforms.
Monitor model drift and performance, implement retraining strategies, and ensure versioning and reproducibility.
Manage and maintain data ingestion, transformation, and feature engineering workflows.
Ensure best practices for cloud-based ML development including security, scalability, and cost-efficiency.
Participate in code reviews, design discussions, and MLOps roadmap planning.
Required Skills and Qualifications:
3+ years of experience as a Machine Learning Engineer or similar role.
Hands-on experience deploying models on AWS SageMaker and Azure Machine Learning Studio / SDK.
Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
Strong understanding of MLOps principles, version control (Git), and CI/CD pipelines (e.g., CodePipeline, GitHub Actions, Azure DevOps).
Experience with containerization and orchestration (Docker, Kubernetes, AKS/EKS).
Familiarity with data engineering tools (Glue, Data Factory, Apache Airflow, etc.).
Solid understanding of cloud infrastructure, networking, and IAM policies for secure ML workflows.
Experience working with structured and unstructured data in real-world business applications.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Apexon
Location(s): Pune
Keyskills:
Engineering services
Networking
Machine learning
Wellness
Healthcare
Life sciences
Asset management
Continuous improvement
Analytics
Python
