Job Description

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Associate

& Summary

As an Associate in our Applied AI team, you will work on building and deploying AI-powered solutions that drive impact for our clients across industries. You’ll collaborate with experienced engineers, data scientists, and business stakeholders to turn raw data and innovative ideas into production-ready systems. This is an opportunity to grow your machine learning and software engineering skills in a collaborative, client-focused environment.

Responsibilities

• Assist in developing and evaluating machine learning models using Python, scikit-learn, and modern frameworks like PyTorch and Hugging Face Transformers.
• Assist in developing and testing generative ai agents and applications -> LangChain, LangGraph.
• Participate in the implementation of retrieval-augmented generation (RAG) pipelines leveraging vector databases.
• Support with prompt engineering, the fine-tuning of foundation models for domain-specific use cases and transfer learning techniques.
• Help generate and use synthetic data for model training, evaluation, and robustness testing.
• Work with data pipelines to preprocess, transform, and structure data for AI applications.
• Collaborate with engineers and data scientists to build backend services and APIs for deploying AI models.
• Use Git for version control and contribute to collaborative software development workflows.
• Participate in Agile development cycles, including sprint planning, daily stand-ups, and code reviews.
• Contribute to documentation, experiment tracking, and explainability efforts for AI models.
• Stay up-to-date with emerging trends in LLMs, GenAI, and responsible AI practices.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• Solid programming skills in Python, including use of libraries like Pandas, NumPy, and Matplotlib.
• Exposure to core machine learning concepts (e.g., regression, classification, model evaluation).
• Understanding of data manipulation, feature engineering, and model evaluation techniques.
• Understanding of how LLMs work, and familiarity with popular tools (e.g., OpenAI, Hugging Face).
• Interest in or basic experience with LangChain, vector databases, and RAG frameworks.
• Comfortable working with version control (Git), Jupyter Notebooks, and REST APIs.
• Strong communication skills and a collaborative mindset.

Preferred Skills (Nice to Have)

• Hands-on experience with tools like Hugging Face Transformers, LangChain, LlamaIndex, or OpenAI API.
• Familiarity with cloud-based AI tools (e.g., AWS SageMaker, Azure AI Services, Google Vertex AI).
• Exposure to front-end technologies (e.g., streamlit, nextJS) or back-end frameworks (e.g., Flask, FastAPI).
• Experience with synthetic data generation (e.g., text simulation, data augmentation).
• Familiarity with fine-tuning techniques (e.g., LoRA, PEFT, instruction tuning),
• Coursework or personal projects involving deep learning, NLP, or generative models.
• Basic understanding of containerization (Docker).
• Familiarity with multi agent architectures.

What We Offer

Continuous learning through hands-on experience and formal training in applied AI, MLOps, and GenAI.

Exposure to real-world AI projects with leading clients across industries.

Opportunities to contribute to innovative client-facing AI projects using advanced tools like LangChain and vector search.

Mentorship from senior engineers and technical leaders.

A collaborative environment with opportunities to explore cutting-edge technologies and innovative ideas.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Emotional Regulation, Empathy, Go-to-Market Strategies, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Market Research {+ 9 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date