We are seeking a passionate Data Scientist to join our team and spearhead the development of cutting-edge AI solutions. As a key member of our AI & Machine Learning team, you'll play a pivotal role in driving innovation by building both predictive and generative AI models that unlock valuable insights and enhance our overall business operations. You'll thrive in a fast-paced environment, be comfortable tackling complex challenges, and possess a deep understanding of AI concepts and applications.

Key Responsibilities

• Collaborate with diverse stakeholders to define AI project requirements aligned with strategic business objectives.
• Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services.
• Predictive AI Modeling:
• Formulate problem statements and hypotheses for diverse business challenges.
• Assemble, clean, and prepare data for effective model training.
• Develop, train, and evaluate predictive AI models using various algorithms (e.g., regression, classification, clustering) tailored to specific problems.
• Continuously refine and optimize models for performance, scalability, and efficiency.
• Deploy models into production environments and monitor their performance.
• Generative AI Modeling:
• Identify opportunities where generative AI models can add value, such as content creation, data augmentation, or design prototyping.
• Explore and experiment with generative models (e.g., GPT) suitable for the chosen application.
• Train and evaluate generative models, fine-tuning parameters for desired outputs.
• Integrate generative models into production workflows or applications.
• Communicate insights and recommendations effectively:
• Present findings clearly and concisely, translating technical concepts into business language.
• Collaborate with cross-functional teams to implement action plans based on AI-driven insights.
• Continuously learn and stay abreast of the latest developments in the field of AI, machine learning, and deep learning.
  

Basic Qualifications

• Bachelor’s degree in computer science, Engineering, Statistics, or related field with 4+ years of relevant experience, or Master's degree with 2+ years of experience.
• Demonstrated experience in building both predictive and generative AI models using relevant libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of model evaluation metrics and best practices for each type of model.
• Experience deploying models into production environments.
• Proficiency in Python, SQL, and cloud platforms (e.g., Azure).
• Excellent communication and presentation skills.
  
  

Preferred Qualifications

• Expertise in a specific area of AI relevant to our domain (e.g., computer vision, natural language processing, recommender systems).
• Experience working with large and complex datasets.
• Ability to work independently and collaboratively.
• Passion for innovation and staying ahead of the curve in the AI landscape.