Description

You will design and build automation components using AI and ML models to streamline business processes.

Responsibilities

• Research and implement AI/ML models to automate business processes and enable rapid prototyping.
• Evaluate AI tools and APIs for integrating large external and internal datasets.
• Develop end-to-end automation workflows for prospect messaging, response processing, and decision-making.
• Design and build databases to manage and track automation data.
• Architect overall solutions, including backend infrastructure using cloud technologies.

Required Skills

• 5+ years of experience in software engineering or machine learning.
• Proficiency in developing and implementing ML models and deep learning neural networks.
• Hands-on experience with TensorFlow, PyTorch, and scikit-learn.
• Strong programming skills in Python and JavaScript.
• Experience with Natural Language Processing using spaCy, NLTK, or transformers like BERT/GPT.
• Data engineering expertise in preprocessing, cleansing, and managing large volumes of data.
• Proficiency with SQL, NoSQL, ETL, and Hadoop/Spark.
• Knowledge of model training, fine-tuning, hyperparameter tuning, and optimization.
• Familiarity with deploying and scaling applications on AWS, Azure, or Google Cloud.
• Bachelor's or Master's degree in Computer Science or a related field.

Preferred Skills

• Experience with Java or C++ for building high-performance components.

Key Skills

Education

Bachelor's or Master's degrees