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Mathematical Science Occupations
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Job Description
<p><p><b>Qualifications :</b><br/><br/>- 15+ years of experience in Data Science, Machine Learning, and AI.<br/><br/>- Strong academic background in Computer Science, Statistics, Mathematics, or related field (PhD or Masters preferred).<br/><br/>Hands-on experience with :<br/><br/>- Classical ML : XGBoost, Random Forest, SVM, etc.<br/><br/>- Deep Learning : CNNs, RNNs, LSTMs, Transformers.<br/><br/>- NLP : BERT, GPT, LLaMA, T5, etc.<br/><br/>- GenAI : Diffusion models, LLM fine-tuning, prompt engineering.<br/><br/>- Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc.<br/><br/>- Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow).<br/><br/>- Strong understanding of data architecture, feature engineering, and model deployment pipelines.<br/><br/>- Experience with vector databases, retrieval-augmented generation (RAG), and semantic search.<br/><br/>- Familiarity with LLMOps and GenAI safety frameworks.<br/><br/>- Publications or patents in AI/ML domains.<br/><br/><b>Required Skills :</b><br/><br/>- Excellent communication and storytelling skills.<br/><br/>- Strong problem-solving and analytical thinking.<br/><br/>- Ability to inspire and lead high-performing teams.<br/><br/>- Adaptability in a fast-paced, evolving tech landscape.</p><br/></p> (ref:hirist.tech)
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