AI ML Engineer/Architect

Rate: $60/hr. C2c for AI ML Architect level candidates (15+ years experience) $45/hr. C2c AI ML Engineer level candidates (12-15 years experience) Note : Prior experience working with Health Plan applications and healthcare data architectures is required. This position would require candidates with data engineering background who are extensively working in AI/ML space for last 4-5 years, that too in health plan domain. Job Summary We are seeking a highly skilled and motivated Machine Learning / AI Engineer to join our team. You will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions that solve real-world problems and drive measurable business value. This role requires a strong foundation in data science, machine learning engineering, and software development, along with a passion for innovation and problem-solving. Key Responsibilities • Design and implement machine learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. • Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems. • Build and maintain scalable data pipelines and model training workflows. • Conduct experiments, evaluate model performance, and iterate to improve accuracy, efficiency, and robustness. • Stay up to date with the latest research and advancements in AI/ML and apply them to relevant projects. • Optimize models for performance, scalability, and interpretability. • Document processes, models, and systems to ensure reproducibility and knowledge sharing. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. • 8+ years of experience in developing and deploying machine learning models and AI solutions in real-world environments. • 5+ years of experience programming in Python, with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. • 5+ years of experience working with core machine learning algorithms, data structures, and statistical modeling techniques. • 3+ years of experience using cloud platforms (AWS, GCP, Azure) for building and deploying AI/ML solutions, including familiarity with ML Ops tools (e.g., SageMaker, Vertex AI, Azure ML). • 2+ years of experience or exposure to data engineering tools such as Apache Spark, Airflow, or Kafka (preferred but not mandatory). • Strong problem-solving, analytical thinking, and communication skills with the ability to translate complex concepts into practical applications. Preferred Qualifications • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • Experience with deep learning, reinforcement learning, or generative AI (e.g., GANs, LLMs). • Contributions to open-source ML/AI projects or published academic research papers. • Experience deploying models in real-time inference systems or on edge devices. • Prior experience working with Health Plan applications and healthcare data architectures is a strong plus. Skills: health,machine learning,architectures,ai,machine learning models,data engineering,ml