Description

You will develop and deploy production-ready machine learning and deep learning solutions.

This role is remote.

Responsibilities

• Develop predictive models using supervised and unsupervised machine learning and deep learning techniques.
• Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting, and anomaly detection.
• Execute data wrangling, exploratory data analysis, and feature engineering on large datasets.
• Collaborate with product and development teams to build proofs of concept that solve customer problems.
• Align technical solutions with specific business goals.

Required Skills

• 5+ years of experience in professional environments.
• Strong expertise in Python and open source libraries including NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, Jupyter, and Anaconda.
• Hands-on experience with Deep Learning, NLP, and Machine Learning.
• Proficiency with TensorFlow, Keras, and PyTorch.
• Experience with transformers and applying deep learning to NLP.
• Experience designing, building, and optimizing data and model training pipelines.
• Experience with cloud-based platforms (AWS or Azure) for solution delivery.
• Experience with agile and SDLC tools such as JIRA, Confluence, and Git.
• Experience with Test-Driven Development (TDD).

Preferred Skills

• Computer vision modeling.
• Experience using SageMaker or Azure ML Studio.

Key Skills

Education

Any Graduate