Data Scientist Engineer With MLOPS Experience

Job Title: Data Scientist Location: REMOTE Description of Work: Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI and experience in the clinical domain. Stay updated on the new methods in NLP, ML and Generative AI Understand real world challenges and develop automated data solutions Develop, test, and deploy new techniques for NLP understanding Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs) Train and optimize NLP/LLM models and cr

Employment Type: Full-Time Experience Level: Entry-Level / Early Career Role Overview We are onboarding motivated individuals into a structured Data Science Professional Development Track designed to build strong analytical, technical, and project execution capabilities aligned with real-world industry needs. This role combines guided project work, mentorship, and performance-based progression into client-facing or internal data science assignments. Key Responsibilities Work on structured

Job Title: Senior Data Scientist Location: Remote Long Time Project Only W2 No C2C Job Summary: We are seeking a highly experienced Senior Data Scientist with 8+ years of hands-on experience in advanced analytics, machine learning, and statistical modeling. The ideal candidate will work closely with cross-functional teams to design scalable data solutions, develop predictive models, and drive data-driven decision-making across the organization. Key Responsibilities: Design, develop, and deplo

8+ years in Data Science using Python, R, Pandas, NumPy, Scikit-Learn, and PySpark for large-scale analysis and modeling. Expert in ML algorithms, stats, feature engineering, evaluation, and optimization; proficient in PyTorch, TensorFlow, and production deployment. Experienced with Big Data (PySpark) and cloud ML on AWS, Azure, and Google Cloud Platform.