Machine Learning Engineer - Python

<p><p><b>Description :</b></p><br/><p><b>Job Details :</b></p><br/><p>- Position : ML Engineer</p><br/><p>- Experience : 6-8 years</p><br/><p>- Work Mode : Remote</p><br/><p>- Notice Period : Immediate Joiner 15 days</p><br/><p>- Must Have : DevOps tools, Python and Excellent Communication</p><br/><p><b>Key Responsibilities :</b></p><br/><p>- Design, develop, and deploy machine learning models for real-world applications.</p><br/><p>- Implement and optimize end-to-end ML pipelines using PySpark and MLflow.</p><br/><p>- Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries.</p><br/><p>- Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch.</p><br/><p>- Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc.</p><br/><p>- Collaborate with cross-functional teams including data engineers, product managers, and software developers.</p><br/><p>- Monitor model performance and continuously improve model accuracy and reliability.</p><br/><p>- Maintain proper versioning and reproducibility of ML experiments using MLflow.</p><br/><p><b>Required Skills :</b></p><br/><p>- Strong programming experience in Python.</p><br/><p>- Solid understanding of machine learning algorithms, model development, and evaluation techniques.</p><br/><p>- Experience with PySpark for large-scale data processing.</p><br/><p>- Proficient with MLflow for tracking experiments and model lifecycle management.</p><br/><p>- Hands-on experience with Pandas, NumPy, and Scikit-learn.</p><br/><p>- Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers).</p><br/><p>- Understanding of MLOps principles and deployment best practices.</p><br/><p><b>Preferred Qualifications :</b></p><br/><p>- Bachelors or master's degree in computer science, AI/ML, Data Science, or a related field.</p><br/><p>- Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus.</p><br/><p>- Strong analytical and problem-solving abilities.</p><br/><p>- Excellent communication and teamwork skills.</p><br/></p> (ref:hirist.tech)