Company
NoGood logo

NoGood

nogood.io
Location

Remote, but you must be in the following location

  • 🇪🇬 Egypt
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Machine Learning Engineer

Description

We're Hiring: Machine Learning Engineer (2-4 Years Experience)

We Are:

NoGood is a leading growth, performance, and creator marketing agency at the intersection of performance science and creative storytelling. We empower impactful brands to achieve sustainable growth through innovative strategies, cutting-edge analytics, and creative experimentation. Our dynamic team combines top-tier talent, technology, and proprietary AI-driven solutions to deliver unparalleled marketing results for industry-leading brands.

Description:

We’re looking for a highly motivated Machine Learning Engineer with 2–4 years of hands-on experience in ML/AI application development. This role is perfect for early-career professionals who thrive in a fast-paced, innovation-driven environment and want to work on real-world applications of machine learning and generative AI.

You Have:

  • End-to-End ML Pipeline Development: Design, implement, and maintain scalable ML pipelines — from data preprocessing to model training and deployment.

  • LLM Integration: Collaborate on fine-tuning and deploying large language models (LLMs) like GPT, BERT, or open-source alternatives (e.g., LLaMA, Mistral) for NLP-driven applications.

  • Data Engineering & Analysis: Work with structured and unstructured data — perform wrangling, cleaning, and feature engineering using tools like Pandas, PySpark, or Dask.

  • Model Monitoring & Optimization: Use MLOps tools (e.g., MLflow, Weights & Biases) for experiment tracking, model versioning, and continuous performance monitoring.

  • Interactive Visualizations: Develop dashboards and data visualizations using Plotly, Dash, or Streamlit to communicate findings effectively.

  • Cloud-native Deployment: Support model deployment using FastAPI or Flask, containerized via Docker, and deployed on cloud platforms (AWS/GCP/Azure).

  • Research & Innovation: Stay current with emerging trends in ML and generative AI; evaluate and prototype new models, algorithms, and frameworks.

You Will Do:

  • Bachelor’s degree in Computer Science, Machine Learning, Data Science, Engineering, or related field.

  • 2–4 years of hands-on experience in ML engineering, data science, or full-stack development involving ML components.

  • Proficiency in Python and core ML/data libraries (NumPy, Pandas, Scikit-learn, etc.).

  • Working knowledge of TensorFlow, PyTorch for model development.

  • Experience with Natural Language Processing and foundational NLP libraries (spaCy, Hugging Face Transformers, NLTK).

  • Exposure to modern LLM stacks (e.g., LangChain, LlamaIndex) and prompt engineering.

  • Familiarity with version control (Git) and collaborative development practices.

  • Experience working with SQL and NoSQL databases.

  • [Bonus] Experience with:

    • Cloud platforms (AWS , GCP , or Azure )

    • CI/CD pipelines and containerization (Docker, Kubernetes)

    • Experiment tracking tools (MLflow, W&B)

    • Vector databases (Pinecone, Chroma Db)