Senior Data Scientist (need Generative AI and Agentic AI exp)

  • Posted 17 hours ago | Updated 17 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)
LangChain
Large Language Models (LLMs)
Computer Vision
Machine Learning Operations (ML Ops)
PyTorch
Machine Learning (ML)
Predictive Modelling
Deep Learning
TensorFlow
Image Segmentation

Job Details

Role Title: Senior Data Scientist - Generative AI / LLM / Agentic AI / Computer Vision

Employment Type: Contract;Contract-to-Hire

Duration: 6 month contract with extensions. Possibility for hire

Preferred Location: Remote, no preference on time zone

Role Description:
We're seeking a Senior Data Scientist with deep, hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and Computer Vision. The ideal candidate has a strong track record of designing and deploying AI models in production at scale, including work on both text-based and image-based AI systems. A solid background in traditional machine learning, predictive modeling, and proficiency in cloud platforms such as Azure and Databricks is essential.

Key Responsibilities:

  • Design and deploy scalable LLM, Generative AI, and Agentic AI systems in production environments.
  • Build and refine computer vision models (e.g., object detection, image segmentation, image captioning, visual reasoning).
  • Develop end-to-end AI pipelines: data collection, preprocessing, training, evaluation, deployment, and monitoring.
  • Apply traditional machine learning methods to solve predictive modeling problems across structured and unstructured data.
  • Integrate AI solutions with enterprise platforms using Azure, Databricks, and distributed systems.
  • Collaborate with data engineers, MLOps teams, and product stakeholders to align solutions with business needs.
  • Continuously improve model performance and reliability through testing, monitoring, and feedback loops.

Requirements:
Required Qualifications:

  • 5+ years of experience in data science and applied machine learning.
  • 2+ years of direct experience building and deploying LLMs and Generative AI models in production.
  • Experience developing agentic AI solutions, such as tool-using agents or autonomous workflows at scale.
  • Expertise in computer vision, with hands-on experience using frameworks like OpenCV, PyTorch, Detectron2, or YOLO.
  • Proficient in both traditional ML (e.g., classification, regression, clustering, time series) and deep learning approaches.
  • Skilled in Python and common ML/AI libraries (Transformers, Hugging Face, TensorFlow, LangChain, etc.).
  • Strong communication and collaboration skills, including translating complex models into actionable business insights.
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