Xpedient Technologies

Required Skills

Core (Must Have)

• Python - Strong programming skills, comfortable writing clean code beyond notebooks
• ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects

• Supervised/unsupervised learning

• Model evaluation and validation

• Basic understanding of neural networks

• Data Manipulation - Experience with Pandas, NumPy, or similar libraries
• Version Control - Git basics (commit, push, pull, branches)
• Problem Solving - Can debug issues and search for solutions independently
• Communication - Can explain technical concepts clearly

At Least One of These ML Areas

• NLP/LLMs: Experience with transformers, text processing, or language models (even if just through projects)
• Time Series: Forecasting, sequential data, or time-based analysis
• Recommender Systems: Collaborative filtering or ranking (through projects/coursework)
• Computer Vision: Image classification, object detection, or CNN projects
• Classical ML: Strong foundation in scikit-learn, feature engineering, model selection

Working Style

• Self-starter - You don't wait to be told what to do; you ask questions and take initiative
• Fast learner - Comfortable picking up new tools and technologies quickly
• CLI-comfortable - Not afraid of the terminal (we can teach you more advanced usage)
• Curious - Genuinely interested in how things work under the hood
• Collaborative - Can work with a team and ask for help when stuck

Nice to Have

• Cloud Experience: Any exposure to AWS, Azure, Google Cloud Platform, or OCI
• Docker/Containers: Basic understanding of containerization
• SQL: Database querying experience
• CI/CD: Familiarity with GitHub Actions, Azure DevOps, or Jenkins
• MLOps Tools: Exposure to MLflow, Weights & Biases, or Airflow
• Bash/PowerShell: Basic scripting skills
• Deep Learning Frameworks: PyTorch or TensorFlow experience
• Kaggle Competitions: Participated in ML competitions
• Open Source: Contributions to projects or active GitHub profile
• Additional Languages: Any experience with Go, Rust, or JavaScript