AI Developer / Data Scientist

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.