Senior Data Scientist - Gen AI

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Axiom Global Technologies Key Responsibilities: Architect and implement scalable AI/ML solutions, including robust MLOps pipelines for CI/CD, model monitoring, and governance. Lead the development of Generative AI and NLP applications such as text summarization, conversational AI, and entity recognition. Design and optimize large-scale data pipelines using PySpark and SQL. Drive scalable ML model development, deployment, and performance tuning. Collaborate with cross-functional teams to align AI efforts with strategic business goals. Mentor and guide junior team members on best practices and technical direction. Required Qualifications: Bachelors degree with 1012 years of experience in Data, AI, and Machine Learning domains. Proficient in Python (Pandas, NumPy, PyTorch, TensorFlow) and SQL. Hands-on experience with MLOps tools like MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines. Deep understanding of Generative AI and NLP technologies, including transformer models (e.g., GPT, BERT), Hugging Face, and LangChain. Strong background in data engineering using PySpark and distributed data processing. Experience with one or more major cloud platforms (AWS, Azure, or GCP) is a plus. Mandatory Skills: Expertise in data architecture, data modeling (dimensional, relational), and hybrid cloud/on-prem environments. Strong proficiency in Python and PySpark; advanced SQL skills. Familiarity with entity resolution and data governance tools. Exposure to Generative AI, Machine Learning, or LLM integration. Preferred experience with financial products, general ledger (GL) data, or finance operations. Seniority level

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