Description

You will design and implement machine learning and deep learning models to solve complex technical challenges.

Responsibilities

• Build and deploy machine learning, deep learning, and generative AI models.
• Train Large Language Models (LLMs) on custom datasets and integrate third-party APIs like OpenAI.
• Execute the full ML lifecycle including data preprocessing, feature engineering, EDA, model selection, and hyperparameter tuning.
• Develop and maintain AI-driven products and services by implementing the latest technologies.
• Collaborate with stakeholders to translate technical requirements into functional solutions.

Required Skills

• 3+ years of professional experience in developing AI/ML solutions.
• Proficiency in Python, C++, R, or Scala.
• Experience with TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, scipy, nltk, transformers, or langchain.
• Deep understanding of supervised, unsupervised, and reinforcement learning algorithms.
• Strong foundation in computer vision, natural language processing, and generative AI.
• Experience with SQL and NoSQL databases including MySQL, PostgreSQL, and MongoDB.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Preferred Skills

• Experience with Python web frameworks including Django, Flask API, or FastAPI.
• Knowledge of MLOps, cloud platforms, Agile environments, and DevOps practices.
• Ability to perform data visualization and create dashboards using statistical techniques.

Key Skills

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field