Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Semantic
Agentic AI
RAG
Net
Job Details
Job Title: MI Engineer with Core .Net
Location: Remote
Duration: Long Term
Job Description
We are seeking a talented Machine Learning Engineer to join our growing AI team. You will be responsible for designing, developing, and deploying machine learning models that power intelligent features in our products. You will work closely with data scientists, engineers, and product managers to transform business problems into scalable ML solutions.
Responsibilities:
Design, build, and deploy machine learning models and algorithms to solve real-world problems.
Collaborate with data scientists and engineers to collect, clean, and preprocess large datasets.
Implement production-ready machine learning pipelines and automate model training, evaluation, and deployment.
Monitor and continuously improve the performance of deployed models.
Work with MLOps tools and cloud services (e.g., AWS, Google Cloud Platform, Azure) to operationalize ML solutions.
Research and experiment with new machine learning techniques to improve model accuracy and efficiency.
Write clean, maintainable, and scalable code following software engineering best practices.
Qualifications:
Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. (Ph.D. is a plus.)
2+ years of experience in machine learning, deep learning, or artificial intelligence.
Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn, etc.).
Solid understanding of ML algorithms, data structures, and statistical methods.
Experience with cloud platforms like AWS SageMaker, Google Cloud Platform Vertex AI, or Azure ML Studio.
Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).
Knowledge of SQL and experience working with large datasets.
Excellent problem-solving skills and ability to work in a fast-paced environment.
Mandatory Skills
Semantic Kernel (Microsoft), Agentic AI, Q&A model, RAG, .Net Core.
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