Lead Data Scientist

job
  • Forsyth Barnes
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Job Summary
Location
Washington ,DC 20022
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
01 Feb 2025
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Job Description

Permanent Job Alert:Title: Lead Data & AI ScientistLocation: Washington DC, HybridSalary: Up to $225,000 + BonusIndustry: FinTechContact: Overview:My client specializes in simplifying and optimizing payment processes for businesses. Its platform leverages technology and data to enable fast, accurate, and secure payment delivery.JOB Responsibilities:Machine Learning and AI Development: Design, build, and deploy advanced machine learning (ML) and artificial intelligence (AI) models to address business challenges.Implement and fine-tune large language models (LLMs) for tasks such as text generation, summarization, and conversational AI.Data Analysis and Modeling: Analyze large datasets to extract actionable insights and patterns.Develop predictive and prescriptive models using Python and state-of-the-art ML techniques.LLM Optimization: Fine-tune pre-trained large language models for domain-specific applications.Ensure efficient utilization of LLMs by optimizing performance, reducing latency, and minimizing resource usage.Algorithm Design and Innovation: Research and innovate new AI/ML algorithms tailored to specific business needs.Stay updated on the latest advancements in generative AI and LLMs.Code Development and Deployment: Write clean, efficient, and scalable code in Python for ML and AI workflows.Manage the end-to-end lifecycle of AI/ML model development, including deployment in production environments.Leadership and Mentorship: Lead a team of data scientists and engineers, providing guidance on best practices in AI and ML.Mentor junior team members and foster a collaborative, innovative environment.JOB Requirements:5+ years of hands-on experience in data science, machine learning, or AI roles.Demonstrated experience in leading teams or projects involving AI/ML development.Proven track record of deploying ML/AI models into production at scale.Proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Matplotlib).Experience with frameworks and tools for LLM development, such as Hugging Face Transformers, LangChain, or OpenAI APIs.If you're interested, please apply by emailing a copy of your most up-to-date CV and your current availability.#J-18808-Ljbffr

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