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Data Scientist

4 months ago

Montvale, United States Motion Recruitment Full time

Our client is seeking a Data Scientist with a GenAI background for a remote contract role.

Contract Duration: 3-6 Months Required Skills & Experience

Solid GenAI background, with a minimum of 5 – 7 years of AI/ML experience in the production level scalable systems. Working experience on Azure Cloud Background in developing data science projects, handling complex large data sets – unstructured, semi-structured, or structured. Leverage data-driven techniques to design, develop and improve Generative AI models, drawing on expertise in areas such as machine learning, deep learning, and statistics. Have experience in conducting comprehensive data analysis and modeling, applying AI / ML and statistical methods to large datasets to effectively harness useful insights and generate creative outputs. Utilize Python for building high-quality GenAI systems. Expert level skills in using Python libraries and frameworks such as NumPy, Pandas, PyTorch / Tensorflow, Llamaindex, and LangChain Experience in using LLMs, preferably GPT4 and Llama2 LLMs. Strong experience on Embedding methods. Experience in optimization and fine-tuning LLMs / Embedding and LLM Evals. Build and maintain robust data pipelines running testing and validation of the models to ensure accuracy, quality, and generalization of the models on unseen datasets. Ensure that all models and algorithms developed adhere to company standards and best practices, and comply with all relevant regulatory and company privacy policies. Fast prototype development Possess a creative mind set developing innovative, data-driven solutions Work independently and a team player.
What You Will Be Doing You will be involved in specific engagements involving the building of new, bespoke advanced AI solutions for clients and internally. You will leverage your advanced AI/ML skills, presenting complex results in a clear and concise manner to stakeholders with different backgrounds, and advising on the best strategies based on the model's findings. Ensure that all models and algorithms developed adhere to company standards and best practices and comply with all relevant regulatory and company privacy policies. Collaborate closely with other data scientists, machine learning engineers, and stakeholders to understand the project's objectives and translate these into innovative, data-driven solutions.