Senior Ai Engineer

Summary

Join YipitData, a leading market research and analytics firm, as an AI Engineer! This fully remote position, based in India, involves developing, training, and fine-tuning machine learning models. You will design data pipelines, implement deep learning models using frameworks like TensorFlow and PyTorch, and support research in NLP and predictive analytics. The role requires experience with Python, AI frameworks, and data processing libraries. YipitData offers a competitive salary and comprehensive benefits, including vacation time, parental leave, and learning reimbursement, fostering a growth-oriented and inclusive work environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
• Basic understanding of machine learning algorithms and deep learning models
• Hands-on experience with Python and AI frameworks (TensorFlow, PyTorch)
• Familiarity with data processing libraries like Pandas, NumPy, and the regular expression
• Understanding of model evaluation techniques and performance metrics

Responsibilities

• Assist in the development, training, and fine-tuning of machine learning (ML) models
• Design and implement data pipelines for training models on large-scale datasets, ensuring clean, high-quality, and diverse training data, and providing the ability for incremental learning
• Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Support research and development of AI applications in natural language processing (NLP) and predictive analytics
• Be familiar with Docker & Kubernetes technology, and develop stable and model-integrated API services
• Experiment with prompt engineering, few-shot learning, and fine-tuning in LLM for various business use cases
• Optimize transformer-based models, LLM for efficiency, latency, and performance using quantization, pruning, and distillation techniques

Preferred Qualifications

• Experience with NLP (Hugging Face Transformers, spaCy)
• Exposure to cloud AI services (AWS SageMaker, Google Vertex AI, Azure AI)
• Knowledge of MLOps practices, including CI/CD for ML models
• Familiarity with AI ethics, bias detection, and model interpretability

Benefits

• Competitive salary
• Vacation time
• Parental leave
• Team events
• Learning reimbursement