AI/ML Data Scientist

4 weeks ago

New York, New York, United States Unreal Gigs Full time
Unlock the Power of Data Science with Unreal Gigs

Welcome to Unreal Gigs, where we're pushing the boundaries of data-driven innovation. As a pioneering company in AI and machine learning, we're harnessing the power of data to drive real-world impact. Our mission is to empower our team with the latest technologies and expertise to tackle complex problems and transform industries.

Job Overview

We're seeking a talented AI/ML Data Scientist to join our dynamic team. As a key member of our data science team, 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. You'll work alongside a talented team of data scientists, engineers, and domain experts to tackle complex problems and deliver innovative solutions.

Key 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.
Benefits
  • Competitive 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.
  • 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.

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