What are the responsibilities and job description for the Data Scientist position at Allied Informatics, Inc?
Job Details
Allied Informatics is looking for AI engineer
Key Responsibilities:
AI Model Development: Design, train, and optimize machine learning (ML) and deep learning (DL) models for various applications.
Data Engineering: Preprocess, clean, and analyze large datasets for AI training and evaluation.
Model Deployment: Implement AI models in production environments using tools like TensorFlow, PyTorch, ONNX, or MLflow.
MLOps & Automation: Automate AI workflows using CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, Google Cloud Platform).
Performance Optimization: Optimize models for efficiency, scalability, and accuracy in real-world applications.
Collaboration: Work closely with data scientists, software engineers, and product teams to integrate AI into business applications.
AI Ethics & Security: Ensure AI models are fair, explainable, and secure from potential threats.
Research & Innovation: Stay up-to-date with advancements in AI and propose innovative solutions to business challenges.
Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
Data Engineering: Familiarity with SQL, NoSQL, and big data technologies (Spark, Hadoop).
Model Deployment: Experience with cloud-based AI services (AWS SageMaker, Azure AI, Google Vertex AI).
MLOps: Knowledge of CI/CD, containerization (Docker, Kubernetes), and API deployment (FastAPI, Flask).
AI Security & Ethics: Understanding of model explainability, bias mitigation, and adversarial attacks.
Ph. extn.109