AI Developer

<h3>📋 Description</h3> • Model Development: Design, develop, and train machine learning and deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems. • Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. • System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance. • Research & Innovation: Stay current with the latest AI research and trends; propose and implement innovative solutions to enhance our AI capabilities. • Collaboration: Work closely with product managers, data scientists, and software engineers to define project requirements and deliver AI-powered solutions. • Testing & Evaluation: Develop rigorous testing methodologies to evaluate the performance and reliability of AI systems; troubleshoot and optimize model performance. • Documentation: Maintain clear and comprehensive documentation of models, experiments, and code for future reference and knowledge sharing. • Compliance & Ethics: Ensure that all AI solutions adhere to ethical guidelines, data privacy standards, and regulatory requirements. <h3>🎯 Requirements</h3> • Bachelor's or master’s degree in Computer Science, Data Science, Machine Learning, or a related field. • Proven experience in developing and deploying AI/ML models in a production environment. • Proficiency in programming languages such as Python, Java, or C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop). • Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. • Hugging Face Ecosystem: Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers. • Familiarity with integrating pre-trained models and fine-tuning them for specific applications is highly desirable. • Analytical Skills: Strong problem-solving abilities with a keen attention to detail; ability to work with large datasets and extract meaningful insights. • Communication: Excellent verbal and written communication skills; ability to clearly explain complex technical concepts to non-technical stakeholders. <h3>🏖️ Benefits</h3> • 401(k) Plan (35% employer match per dollar up to 10% employee contribution) • Medical Coverage (3 platforms: UnitedHealthcare, Reference Based Pricing includes comprehensive member advocacy; and Kaiser) • HSA with + Employer Contribution • In-vitro Fertility (treatment coverage) • Dental • Vision (2 plans: 12-month and 24-month frames allowance) • FSA Plans (Healthcare, Dependent care and Limited Purpose) • Pre-tax Commuter Plans • Employer-paid Life Insurance • Employer-paid Short + Term Disability • Long Term Disability (2 plans: Employer-paid and Self-paid with non-taxable claim payments) • Paid Parental Leave (4 weeks at 100%) • Employee Assistance Plan • Voluntary Life Insurance • Legal/ID Theft Plans • TeleHealth Options • Wellness via Omada Health (healthy living solution) • Travel Assistance • Business Travel Accident Coverage • Employer-paid Pet Telehealth • Accident Insurance • Critical Illness Insurance • Hospital Indemnity Insurance • Volunteer Time Off • On Demand Pay (Daily Pay)