Senior Artificial Intelligence/Machine Learning Engineer - LLM Models

<p><p><b>Description :</b><br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design and develop machine learning models and AI-driven solutions.<br/><br/>- Build and maintain scalable software development solutions for production environments.<br/><br/>- Conduct data analysis and derive insights using data science techniques.<br/><br/>- Take ownership of delivering new features and performance improvements on time and with high quality.<br/><br/>- Collaborate cross-functionally with data scientists, engineers, and product teams to drive innovation.<br/><br/><b>Must-Have Qualifications :</b></p><p><p><b><br/></b></p>- Strong programming skills in Python with hands-on experience in ML and data science.<br/><br/>- Proven experience with Large Language Models (LLMs), transformers, and open-source models from HuggingFace.<br/><br/>- Professional experience in machine learning tasks including classification, clustering, anomaly detection, feature engineering, and neural networks.<br/><br/>- Strong knowledge of classic ML algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.).<br/><br/>- Proficiency in deep learning frameworks such as PyTorch and TensorFlow.<br/><br/>- Familiarity with data science frameworks like Scikit-learn, NumPy, Pandas, and Polars.<br/><br/>- Excellent analytical, problem-solving, and communication skills.<br/><br/><b>Preferred Skills :</b></p><p><p><b><br/></b></p>- Experience with Docker and Kubernetes for model deployment and scaling.<br/><br/>- Exposure to MLOps pipelines and cloud-based environments (AWS, GCP, Azure).<br/><br/>- Strong understanding of data pipelines, APIs, and model optimization techniques.</p><br/></p> (ref:hirist.tech)