Gen AI Developer

• Experience in executing projects in Agile Framework
• Proven experience in machine learning and deep learning frameworks (e.g., Tensor Flow, PyTorch).
• Strong programming skills in Python and familiarity with libraries such as Num Py, Pandas, and Scikit-learn.
• Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.
• Proficiency in RAG (Retrieval-Augmented Generation) techniques.
• Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.
• Familiarity with evaluation metrics for RAG systems.
• Knowledge of transformer architectures and training techniques.
• Awareness of ethical considerations and bias mitigation strategies.
• Understanding of autonomous decision-making algorithms.
• Proficiency in programming language Python.
• Strong analytical and problem-solving skills.

• Experience in executing projects in Agile Framework
• Proven experience in machine learning and deep learning frameworks (e.g., Tensor Flow, PyTorch).
• Strong programming skills in Python and familiarity with libraries such as Num Py, Pandas, and Scikit-learn.
• Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.
• Proficiency in RAG (Retrieval-Augmented Generation) techniques.
• Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.
• Familiarity with evaluation metrics for RAG systems.
• Knowledge of transformer architectures and training techniques.
• Awareness of ethical considerations and bias mitigation strategies.
• Understanding of autonomous decision-making algorithms.
• Proficiency in programming language Python.
• Strong analytical and problem-solving skills.

• Bachelor’s or master’s degree in computer science, data science or equivalent
• Develop and implement generative AI models using frameworks like Tensor Flow 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 (Num Py, 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.

• Good to have Manufacturing domain understanding
• Excellent communication
• Team collaboration
• Documentation and knowledge sharing

Base Salary Range : $120,000 to $150,000 Per Annum

• 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 Bene fits & 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.

Qualifications:

BACHELOR OF COMPUTER SCIENCE