USEReady

Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist/Machine Learning Engineer in Alpharetta, GA, for a 12+ month contract. Requires 8+ years of experience, proficiency in Python/R/Java, MLOps tools, and cloud platforms. Strong AI/ML governance knowledge is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 3, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#Docker #Programming #Azure #GCP (Google Cloud Platform) #Java #Deployment #R #Computer Science #Data Science #Python #Kubernetes #ML (Machine Learning) #MLflow #Model Optimization #Scala #TensorFlow #AWS (Amazon Web Services) #Model Deployment #Compliance #ML Ops (Machine Learning Operations) #AI (Artificial Intelligence) #Monitoring #Cloud
Role description
Kindly send me a copy of your updated resume to ashak@useready.com Job Location: Alpharetta, GA (5 days onsite) Job Title: Job Title: Sr. Machine Learning Engineer / Data Scientist – AI/ML Duration: 12+ months contract Target Start Date: ASAP Job Description: We are seeking a highly skilled and motivated Machine Learning Engineer/Data Scientist with expertise in data science, machine learning, and AI/ML model optimization. The ideal candidate will have a strong foundation in improving model efficiencies, a passion for innovation in MLOps (Machine Learning Operations), and a deep understanding of AI/ML governance frameworks. This role requires someone who is not only technically proficient but also eager to learn new skills, embrace challenges, and thrive in a fast-paced, collaborative environment. You will be part of a global team, working on projects that push the boundaries of AI/ML capabilities while ensuring robust governance and ethical practices. Key Responsibilities:. β€’ Design, develop, and optimize machine learning models to improve efficiency, scalability, and performance. β€’ Implement innovative MLOps practices to streamline model deployment, monitoring, and maintenance. β€’ Collaborate with cross-functional teams to integrate AI/ML solutions into business processes. β€’ Develop and enforce governance frameworks for AI/ML systems, ensuring compliance with ethical and regulatory standards. β€’ Stay updated on the latest advancements in AI/ML technologies and incorporate them into existing workflows. β€’ Conduct research and experimentation to identify new approaches for improving model performance and efficiency. β€’ Document and communicate technical concepts and solutions to both technical and non-technical stakeholders. β€’ Mentor and guide junior team members, fostering a culture of continuous learning and innovation. Required Skills and Qualifications: β€’ Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field with 8+ years of experience. β€’ Proven experience in data science, machine learning, and AI model development. β€’ Strong knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, TensorFlow Extended). β€’ Proficiency in programming languages such as Python, R, or Java. β€’ Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). β€’ Familiarity with AI/ML governance frameworks and ethical AI practices. β€’ Excellent problem-solving skills and the ability to handle complex, ambiguous challenges. β€’ Strong communication and collaboration skills, with the ability to work in a global team environment. Thanks and regards, Asha Krishna Associate Director - Talent Partner - US & Canada https://www.useready.com/ Email: ashak@useready.com