Description
YipitData is seeking an AI Engineer to join their team remotely from India. As an AI Engineer, you will assist in developing, training, and fine-tuning machine learning models, work with large datasets, implement and optimize deep learning models, and collaborate with software engineers to deploy AI models into production environments.
Responsibilities:
- Assist in the development, training, and fine-tuning of machine learning (ML) models.
- Work with large datasets, including data cleaning, preprocessing, feature engineering, and preparing high-quality training data.
- 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), large language models (LLMs), and predictive analytics.
- Collaborate with software engineers to deploy and integrate AI models into production environments, including model-integrated API services.
- Conduct experiments, analyze results, and enhance model accuracy, efficiency, latency, and performance.
- Stay updated with the latest advancements in AI and machine learning.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
- 3 to 4 years of relevant hands-on work experience.
- Solid understanding of machine learning algorithms and deep learning models.
- Hands-on experience with Python and AI frameworks (TensorFlow or PyTorch).
- Familiarity with data processing libraries like Pandas, NumPy, and regular expressions.
- Understanding of model evaluation techniques and performance metrics.
- Experience with model training, fine-tuning, and experimentation.
- Familiarity with NLP and LLM applications.
Nice to Have:
- Experience with NLP and LLM frameworks (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.
- Comprehensive benefits and perks.
- Opportunity for growth and learning.
- Flexible work arrangements.