Sr. Machine Learning Engineer / Data Scientist AI/ML

Sr. Machine Learning Engineer / Data Scientist AI/ML

Job Location: Alpharetta, GA (5 days onsite)

Duration: 12 months contract

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.

Required Skills and Qualifications:

• Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field with 8 years of experience.
• Proven experience in data science, machine learning, and AI model development.
• Strong knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, TensorFlow Extended).
• Proficiency in programming languages such as Python, R, or Java.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with AI/ML governance frameworks and ethical AI practices.
• Excellent problem-solving skills and the ability to handle complex, ambiguous challenges.
• Strong communication and collaboration skills, with the ability to work in a global team environment.

Key Responsibilities:.

• Design, develop, and optimize machine learning models to improve efficiency, scalability, and performance.
• Implement innovative MLOps practices to streamline model deployment, monitoring, and maintenance.
• Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
• Develop and enforce governance frameworks for AI/ML systems, ensuring compliance with ethical and regulatory standards.
• Stay updated on the latest advancements in AI/ML technologies and incorporate them into existing workflows.
• Conduct research and experimentation to identify new approaches for improving model performance and efficiency.
• Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.
• Mentor and guide junior team members, fostering a culture of continuous learning and innovation.

Thanks and regards,

Asha Krishna

Associate Director - Talent Partner - US & Canada

Email: