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Artificial Intelligence/Machine Learning Expert
3 months ago
AI/ML Experts with Business Intelligence - AI Enablement with Visualization
Join our team of skilled professionals who are passionate about leveraging the power of Artificial Intelligence and Machine Learning combined with Business Intelligence to enable advanced data visualization techniques.
When you work with us, you'll be contributing to cutting-edge projects that drive innovation and impact in the industry. Let your expertise shine in a collaborative environment that values excellence and creativity.
About the Company: We're a leading organization in the realm of AI and BI, known for our outstanding contributions and groundbreaking solutions. Our work ethic is fueled by a commitment to excellence and a drive to push boundaries.
Key Responsibilities:
- Solid track record of overachieving engineering and platform delivery and scaling targets in high volume, innovative, and fast-paced high-pressure environments; proven results in delivery on platform product
- Working experience in the data AI/ML field, including exploring new and emerging technologies in Machine Learning/Deep Learning, Generative AI, and Data Visualization
- 8+ years of experience in software development with a focus on AI/ML, with at least 3 years in a technical leadership role
- Building and developing engineering teams that demonstrate strong ownership, user empathy, and engineering excellence
- Mentorship - a passion for leading and developing direct reports, providing guidance, coaching, and opportunities for personal and career growth
- Proven time management skills, ability to handle a diverse set of tasks, prioritize effectively, and track progress
- Effective communication style focused on achieving purposeful outcomes, with experience in engaging with executives
- Collaboration - working closely with ML researchers and fostering a culture of innovation
- Experience in building ML infrastructure, MLOps platforms, or model training platforms
- Proficiency in one or more programming languages such as Python, Java, or Go
- Familiarity with big data technologies like Map Reduce, Spark, Hive, HDFS, and others
- Exposure to cloud providers such as GCP, AWS, Azure, and Kubernetes technologies