Vee Healthtek’s Assessment Partner
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Position: MLOps Engineer
Location: Bengaluru/Salem
No of Position: 2
Experience: 4-6 Yrs
Core Competencies:
Good Understanding of Machine Learning project lifecycle Experience in architecting and implementing high-performance RESTful micro services (API development for ML Models) Familiarity with MLOps and experience with scaling and deploying Machine Learning models Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks). Experience with MLOps tools ( MLflow, Tecton, Pinecone, Feature Stores)Experience with AIOps or related fields like IT automation or incident management.
Experience building and operating large-scale distributed systems using Amazon Web Services/Azure (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking). Experience with using OpenAI LLMs.Core Competencies: Machine Learning, Artificial Intelligence, Predictive Analytics, Prescriptive Analytics, Model Training, Algorithm Implementation, Data Science, Deep Learning, Natural Language Processing, Computer Vision Tools & Technologies: TensorFlow, PyTorch, scikit-learn, Keras, Apache Spark MLlib, H2O.ai, AWS SageMaker, Azure Machine Learning, Google AI Platform, Jupyter Notebooks, Data Management: Data Preprocessing, Feature Engineering, Data Transformation, Data Wrangling, Data Visualization, ETL Processes
Programming Languages: Python, R, SQL, Java, Scala, C++ Deployment & Integration: Model Deployment, RESTful APIs, Docker, Kubernetes, CI/CD Pipelines, Cloud Services Integration Methodologies: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Ensemble Methods, Transfer Learning, Hyperparameter Tuning Optimization & Performance: Model Optimization, A/B Testing, Scalability, Performance Tuning, Distributed Computing Soft Skills: Problem Solving, Critical Thinking, Collaboration, Communication, Continuous Learning
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