We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
If you have a knack for shipping high-quality, extremely impactful products, we need you on our team.
What you’ll do
- Understand business objectives and develop models that help to achieve them, along with metrics to track their progress.
- Manage available resources such as hardware, data, and personnel to ensure timely delivery.
- Research & Analyze the ML algorithms that could be used to solve a given problem and rank them by their success probability.
- Explore, visualize, and identify differences in data distribution that could affect performance when deploying the model in the real world.
- Verify data quality, and/or ensure it via data cleaning.
- Supervise the data acquisition process.
- Find available datasets online that could be used for training.
- Define validation strategies.
- Define the preprocessing or feature engineering to be done on a given dataset.
- Define data augmentation pipelines.
- Train models and tune their performance.
- Analyze the errors of the model and design strategies to overcome them.
- Deploy models to production.
Skills & experience we're excited about
- Robust problem-solving skills.
- 7+ years of demonstrated history of machine learning design and end-to-end deployment.
- Proven experience with building recommendation engines is a big plus.
- Proficiency with a deep learning framework such as TensorFlow.
- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
- Expertise in visualizing and manipulating big datasets.
- Proficiency with LLMs like ChatGPT.
- Proficiency with OpenCV.
- Proficiency with LangChain, PineCone.
- Ability
📌 Senior Machine Learning Engineer (India)
🏢 Taffi
📍 India