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