AI/ML Data Scientist at Unreal Gigs
San Francisco, CA
About the Job
DescriptionCompany Overview: Welcome to the forefront of data-driven innovation! At our company, we're pioneering the next wave of AI and machine learning technologies to unlock the potential of data and drive real-world impact
Our mission is to harness the power of AI and ML to solve complex problems and transform industries
Join us and be part of a dynamic team committed to pushing the boundaries of what's possible with data science.Position Overview: As an AI/ML Data Scientist, you'll play a pivotal role in developing and deploying advanced AI and machine learning models that extract insights and drive decision-making from data
Working alongside a talented team of data scientists, engineers, and domain experts, you'll tackle complex problems and deliver innovative solutions that make a real impact
If you're passionate about data science and eager to drive innovation through AI and ML, we want you on our team.RequirementsKey Responsibilities:Data Exploration and Preprocessing: Explore and preprocess large-scale datasets to extract meaningful features and insights, ensuring data quality and integrity for model training and evaluation.Model Development: Design, develop, and evaluate AI and ML models for a wide range of applications, including predictive analytics, recommendation systems, and anomaly detection.Model Training and Evaluation: Train and evaluate machine learning models using appropriate algorithms and techniques, iterating on model designs to achieve optimal performance and accuracy.Model Deployment: Deploy machine learning models into production environments, collaborating with engineering and DevOps teams to ensure seamless integration and monitoring.Performance Optimization: Optimize machine learning models for speed, efficiency, and scalability, leveraging techniques such as parallel processing and distributed computing.Data Visualization and Interpretation: Visualize and interpret model outputs and insights, communicating findings to stakeholders and driving data-driven decision-making.Cross-Functional Collaboration: Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to define requirements, prioritize tasks, and deliver solutions that meet business objectives.Documentation and Reporting: Prepare documentation and technical reports to communicate model designs, implementation details, and performance metrics to stakeholders, ensuring transparency and reproducibility.Qualifications:Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field.Strong background in data science, with hands-on experience in developing and deploying AI and ML models in production environments.Proficiency in programming languages such as Python, R, or Scala, with experience in data manipulation, analysis, and visualization.Familiarity with machine learning concepts and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark MLlib.Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.BenefitsCompetitive salary: The industry standard salary for AI/ML Data Scientists typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications
Exceptional candidates may be eligible for higher compensation packages.Comprehensive health, dental, and vision insurance plans.Flexible work hours and remote work options.Generous vacation and paid time off.Professional development opportunities, including access to training programs, conferences, and workshops.State-of-the-art technology environment with access to cutting-edge tools and resources.Vibrant and inclusive company culture with team-building activities and social events.Opportunities for career growth and advancement within the company.Exciting projects with real-world impact across diverse industries.Chance to work alongside top talent and industry experts in the field of data science and AI/ML.Join Us: Ready to shape the future of data science with AI and machine learning? Apply now to join our team and be part of an exciting journey of innovation and discovery!
Our mission is to harness the power of AI and ML to solve complex problems and transform industries
Join us and be part of a dynamic team committed to pushing the boundaries of what's possible with data science.Position Overview: As an AI/ML Data Scientist, you'll play a pivotal role in developing and deploying advanced AI and machine learning models that extract insights and drive decision-making from data
Working alongside a talented team of data scientists, engineers, and domain experts, you'll tackle complex problems and deliver innovative solutions that make a real impact
If you're passionate about data science and eager to drive innovation through AI and ML, we want you on our team.RequirementsKey Responsibilities:Data Exploration and Preprocessing: Explore and preprocess large-scale datasets to extract meaningful features and insights, ensuring data quality and integrity for model training and evaluation.Model Development: Design, develop, and evaluate AI and ML models for a wide range of applications, including predictive analytics, recommendation systems, and anomaly detection.Model Training and Evaluation: Train and evaluate machine learning models using appropriate algorithms and techniques, iterating on model designs to achieve optimal performance and accuracy.Model Deployment: Deploy machine learning models into production environments, collaborating with engineering and DevOps teams to ensure seamless integration and monitoring.Performance Optimization: Optimize machine learning models for speed, efficiency, and scalability, leveraging techniques such as parallel processing and distributed computing.Data Visualization and Interpretation: Visualize and interpret model outputs and insights, communicating findings to stakeholders and driving data-driven decision-making.Cross-Functional Collaboration: Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to define requirements, prioritize tasks, and deliver solutions that meet business objectives.Documentation and Reporting: Prepare documentation and technical reports to communicate model designs, implementation details, and performance metrics to stakeholders, ensuring transparency and reproducibility.Qualifications:Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field.Strong background in data science, with hands-on experience in developing and deploying AI and ML models in production environments.Proficiency in programming languages such as Python, R, or Scala, with experience in data manipulation, analysis, and visualization.Familiarity with machine learning concepts and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark MLlib.Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.BenefitsCompetitive salary: The industry standard salary for AI/ML Data Scientists typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications
Exceptional candidates may be eligible for higher compensation packages.Comprehensive health, dental, and vision insurance plans.Flexible work hours and remote work options.Generous vacation and paid time off.Professional development opportunities, including access to training programs, conferences, and workshops.State-of-the-art technology environment with access to cutting-edge tools and resources.Vibrant and inclusive company culture with team-building activities and social events.Opportunities for career growth and advancement within the company.Exciting projects with real-world impact across diverse industries.Chance to work alongside top talent and industry experts in the field of data science and AI/ML.Join Us: Ready to shape the future of data science with AI and machine learning? Apply now to join our team and be part of an exciting journey of innovation and discovery!
