Description

You will design and implement large-scale generative AI solutions and machine learning architectures. You own the full lifecycle from data preprocessing to model deployment.

Responsibilities

• Fine-tune AI models including SBERT, ScaNN, PaLM, ChatGPT, and various LLMs.
• Develop and deploy models using Transformer architectures, GANs, VAEs, and Diffusion Models.
• Manage large-scale model training, optimization, and deployment on cloud platforms.
• Execute data preprocessing, augmentation, and transformation on large datasets.
• Apply NLP techniques including text representation, language modeling, and semantic understanding.

Required Skills

• 10+ years of experience in data science with a focus on generative AI.
• 5+ years of experience with Python and SQL.
• Expertise in NLP, sequence-to-sequence architectures, and deep learning concepts.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Proficiency in Python, R, or Java.
• Experience with data processing tools such as Pandas, NumPy, and scikit-learn.
• Cloud platform experience with AWS, GCP, or Azure.
• Technical proficiency in JavaScript, MongoDB, API programming, and Vertex AI.
• Experience with version control using Git.
• Domain experience in Telecommunications.

Preferred Skills

• Master’s degree in Data Science, Computer Science, Artificial Intelligence, or Machine Learning.
• Experience with computer vision applications.

Key Skills

Education

Bachelor's degree in Computer Science