Responsibilities
- Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
- Work on NLP tasks such as text classification, summarization, and conversational AI.
- Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).
- Fine-tune and optimize transformer-based models and LLMs for specific use cases.
- Evaluate model performance using RAG and NLP evaluation metrics.
- Develop and integrate machine learning models into applications.
- Apply autonomous decision-making logic in AI-driven workflows where needed.
Basic qualifications
- Bachelor’s or master’s degree in computer science, data science or equivalent
Preferred qualifications
- Good to have Manufacturing domain understanding
- Excellent communication
- Team collaboration
- Documentation and knowledge sharing
Benefits
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Tags & focus areas
Used for matching and alerts on DevFound Ai Machine Learning Deep Learning Nlp Pytorch Tensorflow Robotics Generative Ai