Through a Culture of Accuracy, Competency & Teamwork
Job Opening For Agentic AIOps/MLOps Lead - Internal Project
Experience: 8-12 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
Disclaimer -Vee Healthtek Pvt. Ltd. offers training, professional development, and fellowship opportunities to all selected candidates and employees, and maintains a zero-tolerance policy against unlawful discrimination, in all of its activities and operations. Selection for employment is purely based on merit and the candidate's ability to perform the expected duties.