Data Scientist

Job Summary:

We are looking for an experienced Data Scientist / Machine Learning Engineer with expertise in machine learning, deep learning, and generative AI to join our team. The ideal candidate will have a strong background in programming, natural language processing (NLP), computer vision, cloud platforms, and trusted AI practices. You will be working closely with software engineering and operations teams to develop, deploy, and maintain cutting-edge AI models and solutions.

Key Responsibilities:

• Develop and implement machine learning and deep learning models to solve complex business problems.
• Work with generative AI techniques to create advanced AI solutions.
• Design and apply NLP frameworks (e.g., BERT, GPT, Transformer models) to address language-based challenges.
• Utilize computer vision techniques for image recognition, object detection, and image generation.
• Deploy AI models on cloud platforms (e.g., Azure) and manage AI solutions in cloud environments.
• Collaborate with cross-functional teams, including software engineers and operations, to ensure seamless integration of AI models.
• Perform data engineering tasks, including data curation, cleaning, preprocessing, and building pipelines for scalable data processing.
• Ensure fairness, transparency, and accountability in AI systems by applying trusted AI practices.
• Translate business requirements into technical AI solutions that align with organizational goals.
• Communicate complex ideas and AI solutions effectively to stakeholders at various levels of the organization.

Required Skills & Qualifications:

• Bachelors or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in Data Science, Machine Learning, or related roles.
• Strong expertise in machine learning, deep learning, and generative AI techniques.
• Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• In-depth knowledge of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Experience with computer vision techniques for image recognition, object detection, and image generation.
• Hands-on experience with cloud platforms (e.g., Azure) and deploying AI solutions in cloud environments.
• Strong background in data engineering, including data preparation, cleaning, and preprocessing.
• Knowledge of trusted AI practices to ensure model fairness and transparency.
• Strong problem-solving and analytical skills, with the ability to translate business challenges into technical solutions.
• Excellent communication and interpersonal skills with the ability to collaborate across teams and with stakeholders.