Description

Apply machine learning and deep learning techniques to solve complex data problems in Parsippany, NJ.

Responsibilities

• Implement regression, classification, clustering, and deep learning algorithms.
• Develop and deploy models using reinforcement learning and active/continuous learning methodologies.
• Build AI solutions involving RAG architecture, Large Language Models (LLMs), and Vector Datastores.
• Manipulate and analyze large datasets using SQL, Databricks, and Spark.
• Collaborate across cloud environments to process big data and deliver actionable outcomes.

Required Skills

• 5+ years of experience in data science or related industrial roles.
• Advanced degree in Computer Science, Engineering, or a STEM field.
• Proficiency in Python and Java.
• Hands-on experience with deep learning frameworks: PyTorch, TensorFlow, Hugging Face, and SpaCy.
• Experience with SQL and data manipulation tools like Databricks.
• Working knowledge of cloud environments including AWS, Azure, or GCP.
• Experience with big data processing frameworks such as Spark.
• Strong understanding of RAG architecture, LLMs, and Vector Datastores.

Key Skills

Education

Any Graduate