Job Description

This is a remote position.
Position: AI/ML Engineer Intern
Duration: 3 months
Location: Work From Home
About the Role
We are seeking an experienced AI/ML Engineer to join our team building an innovative AI-powered SaaS platform. You will be responsible for developing the core AI functionalities that power our document analysis and generation, win probability prediction, and compliance checking features. This is a key role in creating a Blue Ocean product that transforms how organizations approach proposal writing and bid management.
Responsibilities

• Design and implement NLP models for intelligent document analysis and high-quality proposal generation

• Develop predictive analytics models to calculate win probability scores based on historical data, competitor analysis, and proposal content

• Create AI algorithms for compliance checking that can identify missing requirements and suggest corrections across various regulatory frameworks (FAR, DFARS, HIPAA, IRS non-profit rules)

• Build machine learning models that analyse competitor strategies and pricing trends to provide actionable insights.

• Implement systems that allow AI to learn from past proposals, client feedback, and bid outcomes to continuously improve future recommendations.

• Collaborate with subject matter experts to encode domain knowledge into AI models

• Optimize AI/ML models for performance and accuracy

• Develop a learning system that improves bid strategies based on post-submission analytics and feedback

Requirements

• Advanced degree in Computer Science, Machine Learning, AI, or equivalent practical experience

• Aware of developing NLP/NLG solutions for document analysis and generation

• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers)

• Practical experience implementing and fine-tuning large language models

• Knowledge of predictive modelling and statistical analysis for forecasting outcomes

• Experience with text extraction, classification, and sentiment analysis

• Familiarity with compliance regulations and document requirements is a plus

• Strong Python programming skills

• Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, etc.)

Excellent problem-solving skills and attention to detail
Advanced Technical Skills Required

• Extensive experience with transformer-based language models (BERT, GPT, T5) and fine-tuning techniques for domain-specific applications

• Demonstrated ability to implement Retrieval-Augmented Generation (RAG) architectures for grounding AI outputs in factual data

• Experience developing multi-task learning models that can simultaneously handle document classification, entity extraction, and text generation

• Proficiency with vector embeddings and semantic search for document similarity and retrieval

• Strong knowledge of prompt engineering techniques for controlling AI outputs within specific parameters

• Experience with explainable AI methods to provide transparency in decision-making processes

• Skills in building reinforcement learning from human feedback (RLHF) systems to improve model outputs

• Advanced knowledge of evaluation metrics for NLP systems (ROUGE, BLEU, BERTScore, human evaluation frameworks)

• Ability to implement efficient token optimization techniques for working with large documents

• Experience with ensemble methods for improving prediction accuracy in win probability models.

Benefits

• Hands-on experience in a dynamic and creative work environment.

• Mentorship and guidance from experienced project managers.

• Opportunity to work on real projects that impact the company's growth and success.

• A certificate of completion and a letter of recommendation upon successful completion of the internship.

• This is an unpaid internship. A performance-based stipend will be issued based on your contribution and achievements during the internship.

Skills Required