Senior AI/ML Data Scientist

7 days ago


Windsor Mill, United States TechnoGen Full time
About the Role:

We are seeking a highly experienced Senior AI/ML Data Scientist to drive AI/ML initiatives, build scalable models, and work with cutting-edge technologies to solve complex problems.

Key Responsibilities:

• Design, develop, and deploy AI/ML models, focusing on NLP and Generative AI solutions.
• Collaborate on projects involving Large Language Models (LLM) for various business applications.
• Work with Python programming and standard ML frameworks like TensorFlow, PyTorch, and scikit-learn.
• Utilize data engineering tools such as Apache Spark and orchestration frameworks like Airflow to create scalable AI solutions.
• Leverage cloud services such as AWS EC2 and (optionally) Azure ML to deploy and manage models.
• Apply advanced statistical and mathematical methods to extract insights and patterns from large datasets.
• Work in a collaborative environment, using version control tools like Git for managing code and projects.
• Explore and implement semantic search algorithms for enhanced data retrieval.

Qualifications:

• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science.
• Overall 12+ Years of IT experience is required
• Minimum of 8 years of professional experience as a Data Scientist with a focus on AI/ML.
• Strong proficiency in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLM).
• Fluency in Python and experience with standard libraries such as Pandas, NumPy, and Matplotlib.
• Experience with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
• Knowledge of NLP libraries such as NLTK.
• Experience with cloud platforms like AWS EC2 and (optional) Azure ML.
• Familiarity with scalable data frameworks (Apache Spark) and orchestration tools (Airflow).
• Strong problem-solving skills and ability to work in fast-paced environments.
• Preferred Skills: Experience with semantic search techniques, strong understanding of data pipelines and large-scale data processing, excellent communication and teamwork abilities.

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