Data Science Specialist
Listed on 2026-07-20
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Data Scientist
Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 10 years experience.
Key Responsibilities- Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
- Experience in developing and deploying machine learning models and AI systems.
- Proficiency in programming languages such as Python or R
- Strong knowledge of machine learning frameworks (Tensor Flow, PyTorch, Scikit-learn).
- Experience with natural language processing (NLP), computer vision, and other AI techniques.
- Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud)
- Experience with industrializing machine learning and AI use cases utilizing cloud-native services (AWS Sage Maker, Azure ML)
- Strong analytical skills and the ability to work with complex datasets.
- Excellent problem-solving skills with a focus on developing innovative AI solutions.
- Excellent verbal and written communication skills.
- Ability to work collaboratively in a cross-functional team environment.
- Strong organizational skills and the ability to manage multiple AI projects simultaneously.
- Experience with Agile methodologies and tools (Azure Dev Ops, Scrum).
- Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Machine Learning or Solutions Architect, Azure AI Engineer)
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program;
401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.
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