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AI / ML Engineer Intern

AI / ML Engineer Intern

DraconXhyderabad, TG, in
17 days ago
Job type
  • Quick Apply
Job description

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.
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