Machine Learning Engineer

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 :