AI/ML Engineer

Role:-AI/ML Engineer Location:-Remote Duration:-Remote Key Responsibilities:- Responsibilities ESSENTIAL DUTIES: • Utilize Azure technologies like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML-based applications. • Include AI components in data workflows, engage with data scientists and data engineers. • Utilize Azure AI services to implement natural language processing (NLP) create and implement machine learning models and algorithms. • Automate the deployment and monitoring of AI models and collaborate with DevOps teams. • Use AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots. • Implementing machine learning pipelines and workflows • Deploying and scaling ML models in production environments • Automating CI/CD pipelines to account for data, code, and model changes • Monitoring model performance and applying updates as needed • Ensuring the security and compliance of machine learning systems • Collaborating with data scientists to optimize models and improve performance POSITION REQUIREMENTS & COMPETENCIES: • Bachelor’s Degree, (BA/BS) in Information Systems from a four-year college or university and 5 or more years of development experience required or equivalent combination or education and experience • Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps • Strong programming skills in Python • Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn • Experience with containerization technologies, like Docker and Kubernetes • Familiarity with ML model deployment tools, such as MLflow or Kubeflow • Working experience in Azure cloud platform