Artificial Intelligence Engineer TASC Outsourcing

About the Role: We are seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy advanced AI and machine learning solutions. The successful candidate will collaborate with cross-functional teams to deliver scalable, data-driven applications that drive business value. This role is ideal for professionals with 2–7 years of hands-on experience in machine learning, deep learning, and AI frameworks. Responsibilities: Design and implement scalable machine learning and deep learning models Develop and maintain data pipelines for training and inference Optimize model performance and ensure reliability in production environments Collaborate with data scientists, software engineers, and stakeholders to define requirements and deliverables Conduct research to evaluate and integrate emerging AI technologies Document processes, code, and model performance metrics Provide technical guidance and mentorship to junior team members Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field 2–7 years of experience in AI/ML engineering or a related role Proficiency in Python and machine learning libraries such as TensorFlow, scikit-learn, and Pandas Strong understanding of machine learning algorithms, statistical methods, and data science principles Hands-on experience with deep learning frameworks (TensorFlow or PyTorch) Experience with data preprocessing, feature engineering, and model deployment Ability to write clean, maintainable code and perform code reviews Strong problem-solving skills and attention to detail Preferred Qualifications: Master’s degree or higher in a technical field focused on AI or ML Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) Familiarity with MLOps tools and CI/CD pipelines for machine learning Knowledge of natural language processing, computer vision, or reinforcement learning Excellent communication and collaboration skills Experience working in Agile development environments