Job Description

Visa Sponsorship is Not available for this position

We are seeking an experienced Senior Data Scientist with over 5 years of experience in Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to join our team in Redwood City, SF Bay Area.

Key Responsibilities:

• Architect and design scalable and enterprise-level AI/ML models to solve complex business challenges.
• Develop and optimize AI/ML algorithms to ensure high performance, accuracy, and efficiency.
• Lead the end-to-end AI/ML lifecycle, including data collection, preprocessing, modeling, deployment, monitoring, and maintenance.
• Collaborate with software engineers, data engineers, and product managers to integrate AI solutions seamlessly into existing systems.
• Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, deep learning, and data science.
• Ensure best practices in ML model validation, interpretability, and performance optimization.
• Mentor and guide junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
• Work with big data technologies and cloud platforms such as AWS, GCP, or Azure to scale AI/ML solutions.
• Implement MLOps practices to streamline deployment, monitoring, and retraining of ML models in production.

Required Qualifications:

• 5+ years of experience in Data Science, Machine Learning, or AI with a strong track record of delivering impactful AI solutions.
• Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.
• Deep expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning.
• Proven experience in AI/ML model architecture, optimization techniques, and deploying models at scale.
• Strong knowledge of data engineering principles, including data pipelines, feature engineering, and ETL processes.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Snowflake).
• Strong background in statistics, mathematics, and probability theory.
• Experience with MLOps, model deployment, and monitoring in production environments.
• Excellent problem-solving skills, critical thinking, and adaptability in a fast-paced environment.
• Strong communication skills, with the ability to present complex AI concepts to non-technical stakeholders.

Preferred Qualifications:

• Bachelors or Masters in Computer Science.
• Experience with real-time AI applications.
• Knowledge of AI ethics, explainability, and responsible AI frameworks.

Why Join Us?

• Cutting-edge AI/ML projects: Work on innovative solutions with real-world impact across industries.
• Collaborative and high-growth environment: Work alongside top talent in AI, data science, and engineering.
• Competitive compensation & benefits: Market-leading salary, stock options, and career growth opportunities.

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