AI/ML Data Scientist

4 weeks ago


Cape Coral, United States Mercola Full time $110,000 - $150,000
Summary

We are seeking a highly skilled and innovative AI/ML Data Scientist to join our dynamic team. This role involves leveraging advanced machine learning (ML) and artificial intelligence (AI) techniques to develop, optimize, and deploy scalable data-driven solutions. The ideal candidate will have a strong background in data science, AI/ML algorithms, and programming, coupled with a passion for solving complex problems.

Key Responsibilities & Duties

  • Model Development: Research, design, and implement AI/ML models, including supervised, unsupervised, and deep learning algorithms, to solve business problems.
  • Data Analysis and Preprocessing: Analyze large, complex datasets, and apply feature engineering and data cleaning techniques to enhance model accuracy.
  • Algorithm Optimization: Fine-tune model parameters and optimize performance metrics, ensuring robustness and scalability.
  • Deployment: Develop end-to-end pipelines to deploy AI/ML models in production environments using tools such as Docker, Kubernetes, or cloud platforms.
  • Business Collaboration: Collaborate with cross-functional teams, including product managers, engineers, and stakeholders, to identify opportunities and implement data-driven solutions.
  • Innovation: Stay up to date with the latest AI/ML advancements and integrate cutting-edge techniques to enhance existing processes and systems.
  • Reporting and Visualization: Communicate insights and results effectively through reports, dashboards, and presentations using tools like Tableau, Power BI, or similar.
  • Ethics and Governance: Ensure AI/ML models comply with ethical standards and governance policies, addressing biases and ensuring fairness.
  • Other duties as assigned.

Required Skills/Abilities

  • Proficiency in Python, R, or similar programming languages.
  • Strong experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with big data tools like Spark, Hadoop, or equivalent.
  • Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
  • Expertise in data wrangling, visualization, and SQL-based querying.
  • Excellent problem-solving and critical-thinking skills.
  • Strong communication and teamwork capabilities.
  • Adaptability to evolving business needs and technologies.

Education/Experience/Licenses/Certifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, or a related field.
  • 3+ years of hands-on experience in AI/ML model development and deployment.

SUCCESS PROFILE

  • Experience in Natural Language Processing (NLP) or Computer Vision.
  • Familiarity with MLOps practices and tools for continuous integration/deployment of ML models.
  • Knowledge of AI ethics, privacy, and regulatory compliance frameworks.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

PHYSICAL DEMANDS

  • Ability to remain seated or stand for prolonged periods while working on a computer or participating in meetings.
  • Frequent use of hands and fingers for typing, handling, and manipulating computer equipment and peripherals.
  • Close vision required for reading screens, analyzing data, and reviewing technical documents.
  • Regular communication required, including participating in virtual or in-person meetings and presentations.
  • Minimal physical effort required; occasional walking to attend meetings or retrieving office supplies.
  • Occasional lifting of lightweight objects (e.g., laptops, documents, or equipment) up to 10 pounds.
  • Limited travel may be required for team meetings, conferences, or training events, depending on the role's specific needs.


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