Posted:11 hours ago|
Platform:
Remote
Full Time
We are seeking an experienced Machine Learning Engineer to join our advanced analytics and AI team. The ideal candidate will design, develop, and deploy ML models at scale, working with large datasets and leveraging modern ML frameworks. Hands-on experience with Large Language Models (LLMs) such as OpenAI or Hugging Face is highly desirable. This is an exciting opportunity to work on cutting-edge projects in a fast-paced environment.
• Design, build, and deploy scalable ML models for real-world applications.
• Develop and optimize end-to-end ML pipelines using PySpark and MLflow.
• Process structured and unstructured data with Pandas, NumPy, and other libraries.
• Train, evaluate, and fine-tune models using scikit-learn, TensorFlow, or PyTorch.
• Integrate and experiment with LLMs (e.g., OpenAI GPT, Hugging Face Transformers).
• Collaborate with data engineers, product managers, and software developers.
• Monitor and improve model performance for accuracy, scalability, and reliability.
• Ensure reproducibility and version control of ML experiments using MLflow.
• Strong programming expertise in Python.
• Solid understanding of machine learning algorithms and model evaluation techniques.
• Experience with PySpark for big data processing.
• Proficiency with MLflow for model lifecycle management.
• Strong hands-on with Pandas, NumPy, Scikit-learn.
• Familiarity with LLMs (OpenAI, Hugging Face Transformers).
• Knowledge of MLOps principles and deployment best practices.
• Bachelor’s or master’s degree in computer science, AI/ML, Data Science, or related fields.
• Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
• Strong analytical, problem-solving, and communication skills.
• Collaborative mindset with ability to work in cross-functional teams.
NTek Software Solutions
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