Job Title: AI Engineer / Data Scientist Experience: 5+ Years (Mid-Level) Job Summary: We're seeking a passionate and skilled AI Engineer / Data Scientist to join our rapidly growing AI & Data Science team. In this pivotal role, you'll be at the forefront of designing, developing, and deploying cutting-edge AI models and systems, directly contributing to innovation and business value. This hands-on position requires deep expertise in building and scaling machine learning and deep learning models, with a collaborative spirit to work across various teams. Key Responsibilities: • Develop, train, and evaluate advanced AI/ML models for applications including classification, prediction, NLP, computer vision, and Generative AI. • Collaborate closely with data scientists, product managers, and fellow engineers to conceptualize and build impactful AI-powered features and solutions. • Construct and refine robust end-to-end ML pipelines, from efficient data ingestion to seamless model deployment in production environments ( MLOps Pipelines) • Apply state-of-the-art techniques, including transfer learning, reinforcement learning, and the fine-tuning of pre-trained models, with a strong focus on Large Language Models (LLMs) or Convolutional Neural Networks (CNNs). • Deploy and serve models effectively using containerization (Docker), exposing them via performant APIs on leading cloud platforms. • Proactively monitor and implement strategies for retraining production models to guarantee sustained performance, reliability, and stability over time. • Continuously research and evaluate new AI trends and cutting-edge technologies, actively identifying opportunities to integrate them into our product offerings. Required Skill Set: • Expert proficiency in Python, coupled with extensive experience using Pandas, NumPy, Scikit-learn, and either TensorFlow or PyTorch. • A solid understanding of core machine learning algorithms (supervised and unsupervised) and a deep comprehension of deep learning architectures including CNNs, RNNs, and especially Transformers. • Proven hands-on experience in fine-tuning pre-trained models, with particular emphasis on Large Language Models (LLMs) or NLP models • A strong grasp of data preprocessing, feature engineering, and robust model evaluation/optimization techniques. • Practical experience with model deployment using frameworks like Flask or FastAPI, combined with containerization via Docker. • Demonstrated exposure to leading cloud platforms like AWS (e.g., SageMaker, Lambda, S3) or GCP (e.g., Vertex AI, Cloud Run) for building and deploying scalable AI solutions. • Knowledge of ETL pipelines, experience working with structured and unstructured data, and proficiency in basic SQL for data querying. • Proven ability to thrive both independently and as an integral part of a collaborative team. Preferred Qualifications: • Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or related field. • Prior experience in building AI systems in production environments. • Publications, personal projects, or GitHub repos showcasing AI work are a plus.