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.

Job Title:  Senior Data Scientist / AI Architect
Location:  Redwood City (SF Bay Area) – Hybrid/Onsite
Preferred Experience:  8+ Years
Job Description:
We are looking for a highly experienced Senior Data Scientist / AI Architect to join our team in Redwood City, SF Bay Area. The ideal candidate will be a visionary leader with deep expertise in Machine Learning (ML), Artificial Intelligence (AI), and Python. You will be responsible for designing and implementing cutting-edge AI/ML solutions, leading end-to-end ML system development, and contributing to strategic decision-making. This role requires strong hands-on technical skills as well as the ability to architect scalable, enterprise-level AI solutions.
Key Responsibilities:
Architect and design scalable machine learning models and AI-driven solutions for complex business problems.
Develop and optimize AI/ML algorithms, ensuring high performance, accuracy, and efficiency.
Lead the end-to-end lifecycle of AI/ML projects, from data collection, preprocessing, modeling, and deployment to monitoring and maintenance.
Collaborate with cross-functional teams, including software engineers, data engineers, and product managers, to integrate AI solutions into existing systems.
Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, and deep learning.
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 (AWS, GCP, Azure) to scale AI/ML solutions.
Implement MLOps practices to streamline deployment, monitoring, and retraining of ML models in production.
Required Qualifications:
10+ years of experience in Data Science, Machine Learning, or AI with a proven track record of delivering impactful AI solutions.
Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.
Strong expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning.
Experience in AI/ML model architecture, optimization techniques, and deploying models at scale.
Deep understanding 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 ability to work in a fast-paced, dynamic environment.
Strong communication skills, with the ability to present complex AI concepts to non-technical stakeholders.
Preferred Qualifications:
PhD or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
Experience with real-time AI applications and large-scale distributed systems.
Knowledge of AI ethics, explainability, and responsible AI frameworks.
Experience working in industries such as finance, healthcare, or autonomous systems.
Seniority level  Mid-Senior level
Employment type  Full-time
Job function  Engineering and Information Technology
Industries  IT Services and IT Consulting

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Visa Sponsorship is Not available for this position
Are you an accomplished Data Scientist with over 5 years of experience in Data Science, Machine Learning (ML), and Artificial Intelligence (AI)? Join our innovative team and make a significant impact!
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 seamlessly integrate AI solutions into existing systems.
Stay informed on industry trends and explore the latest advancements in AI, ML, deep learning, and data science.
Ensure adherence to best practices in ML model validation, interpretability, and performance optimization.
Mentor and guide junior data scientists and ML engineers, promoting a culture of innovation and technical excellence.
Utilize big data technologies and cloud platforms (AWS, GCP, or Azure) to scale AI/ML solutions.
Implement MLOps practices to streamline the deployment, monitoring, and retraining of ML models in production.
Required Qualifications:
5+ years of experience in Data Science, Machine Learning, or AI, with a proven track record of delivering impactful AI solutions.
Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
Deep expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning.
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).
Solid foundation in statistics, mathematics, and probability theory.
Experience with MLOps, model deployment, and monitoring in production environments.
Excellent problem-solving abilities, critical thinking, and adaptability in a fast-paced environment.
Exceptional communication skills, able to convey 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?
Engage in cutting-edge AI/ML projects: Work on innovative solutions that create real-world impact.
Enjoy a collaborative and high-growth environment: Collaborate with top talents in AI, data science, and engineering.
Receive competitive compensation & benefits: Benefit from a market-leading salary, stock options, and ample career growth opportunities.
Location:  Redwood City, SF Bay Area

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: <ul><li>Architect and design scalable and enterprise-level AI/ML models to solve complex business challenges. </li><li>Develop and optimize AI/ML algorithms to ensure high performance, accuracy, and efficiency. </li><li>Lead the end-to-end AI/ML lifecycle, including data collection, preprocessing, modeling, deployment, monitoring, and maintenance. </li><li>Collaborate with software engineers, data engineers, and product managers to integrate AI solutions seamlessly into existing systems. </li><li>Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, deep learning, and data science. </li><li>Ensure best practices in ML model validation, interpretability, and performance optimization. </li><li>Mentor and guide junior data scientists and ML engineers, fostering a culture of innovation and technical excellence. </li><li>Work with big data technologies and cloud platforms such as AWS, GCP, or Azure to scale AI/ML solutions. </li><li>Implement MLOps practices to streamline deployment, monitoring, and retraining of ML models in production. </li></ul> Required Qualifications: <ul> <li>5+ years of experience in Data Science, Machine Learning, or AI with a strong track record of delivering impactful AI solutions. </li><li>Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn. </li><li>Deep expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning. </li><li>Proven experience in AI/ML model architecture, optimization techniques, and deploying models at scale. </li><li>Strong knowledge of data engineering principles, including data pipelines, feature engineering, and ETL processes. </li><li>Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Snowflake). </li><li>Strong background in statistics, mathematics, and probability theory. </li><li>Experience with MLOps, model deployment, and monitoring in production environments. </li><li>Excellent problem-solving skills, critical thinking, and adaptability in a fast-paced environment. </li><li>Strong communication skills, with the ability to present complex AI concepts to non-technical stakeholders. </li></ul> Preferred Qualifications: <ul> <li>Bachelors or Masters in Computer Science. </li><li>Experience with real-time AI applications. </li><li>Knowledge of AI ethics, explainability, and responsible AI frameworks. </li></ul> Why Join Us? <ul> <li>Cutting-edge AI/ML projects: Work on innovative solutions with real-world impact across industries. </li><li>Collaborative and high-growth environment: Work alongside top talent in AI, data science, and engineering. </li><li>Competitive compensation & benefits: Market-leading salary, stock options, and career growth opportunities. </li> </ul>

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: <ul><li>Architect and design scalable and enterprise-level AI/ML models to solve complex business challenges.</li><li>Develop and optimize AI/ML algorithms to ensure high performance, accuracy, and efficiency.</li><li>Lead the end-to-end AI/ML lifecycle, including data collection, preprocessing, modeling, deployment, monitoring, and maintenance.</li><li>Collaborate with software engineers, data engineers, and product managers to integrate AI solutions seamlessly into existing systems.</li><li>Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, deep learning, and data science.</li><li>Ensure best practices in ML model validation, interpretability, and performance optimization.</li><li>Mentor and guide junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.</li><li>Work with big data technologies and cloud platforms such as AWS, GCP, or Azure to scale AI/ML solutions.</li><li>Implement MLOps practices to streamline deployment, monitoring, and retraining of ML models in production.</li></ul> Required Qualifications:<ul><li>5+ years of experience in Data Science, Machine Learning, or AI with a strong track record of delivering impactful AI solutions.</li><li>Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.</li><li>Deep expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning.</li><li>Proven experience in AI/ML model architecture, optimization techniques, and deploying models at scale.</li><li>Strong knowledge of data engineering principles, including data pipelines, feature engineering, and ETL processes.</li><li>Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Snowflake).</li><li>Strong background in statistics, mathematics, and probability theory.</li><li>Experience with MLOps, model deployment, and monitoring in production environments.</li><li>Excellent problem-solving skills, critical thinking, and adaptability in a fast-paced environment.</li><li>Strong communication skills, with the ability to present complex AI concepts to non-technical stakeholders.</li></ul> Preferred Qualifications:<ul><li>Bachelors or Masters in Computer Science.</li><li>Experience with real-time AI applications.</li><li>Knowledge of AI ethics, explainability, and responsible AI frameworks.</li></ul> Why Join Us?<ul><li>Cutting-edge AI/ML projects: Work on innovative solutions with real-world impact across industries.</li><li>Collaborative and high-growth environment: Work alongside top talent in AI, data science, and engineering.</li><li>Competitive compensation & benefits: Market-leading salary, stock options, and career growth opportunities.</li></ul>

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