Lead Machine Learning Engineer @ Remote

JOB DESCRIPTIONEmployment Type – CONTRACT ONLY W2/1099Client is looking for Citizens/GC sAs a Senior or Lead Machine Learning Engineer on our Applied AI team, you will operate at the frontier of AI-driven innovation. You will design, fine-tune, and implement state-of-the-art language model applications and machine learning systems, integrating AI-powered solutions for fraud detection, decision automation, and process optimization. This role requires a blend of technical leadership, hands-on engineering expertise, and a genuine passion for deploying AI and ML models at scale.What We're SeekingExperience: 5+ years of hands-on experience in machine learning engineering, with a strong track record delivering large-scale AI/ML systems from research to production.ML Foundations: Deep expertise in ML algorithms, deep learning architectures, and the underlying mathematical foundations — particularly linear algebra, probability, and statistics.Data & Pipelines: Proven proficiency in working with large-scale datasets and building efficient, reliable AI data pipelines.Model Deployment: Hands-on experience packaging and deploying ML models as APIs for seamless integration into production environments.MLOps: Familiarity with MLOps tooling and platforms such as MLflow, Azure ML, or Vertex AI, with an understanding of model lifecycle management.Cloud-Native AI: Experience with cloud-native AI architectures, including distributed model training and scalable deployment patterns on AWS, GCP, or Azure.LLM Expertise: Strong background in LLM architectures, prompt engineering, fine-tuning, model adaptation, and RAG techniques.Evaluation & Testing: Robust understanding of AI evaluation methodologies, testing frameworks, and A/B testing for AI-driven applications.Deep Learning Frameworks: Proficiency with PyTorch, JAX, or TensorFlow.Vector Databases & Monitoring: Knowledge of vector databases (e.g., Pinecone, Weaviate, pgvector) and AI model monitoring practices including drift detection and governance.Software Engineering: Strong software engineering fundamentals, with demonstrated ability to write clean, maintainable, and production-quality AI code.Leadership: Experience mentoring engineering teams and driving AI adoption across cross-functional groups.Research Contributions: Publications, patents, or open-source contributions in AI/ML are a plus.Education: Bachelor's, Master's, or PhD in Computer Science, a related field, or equivalent practical experience, with a focus on machine learning.Best Regards.Bini Skaria,DRS IT Solutions Inc,28175 Haggerty Road,Novi, MI 48377(C) 248-440-7600 EXT-1(F) 248-859-4430Bini Skaria | LinkedInBini@drsitsolutions.comwww.drsitsolutions.comAn E-Verified CompanyCertified Women Business Enterprise (WBENC) Certified Women Owned Small Business (WOSB)