Description

You will design and implement generative AI solutions and machine learning models using cloud-based cognitive services.

Responsibilities

• Build, customize, and fine-tune large language models using GenAI studios such as OpenAI, Vertex, or Bedrock.
• Perform data collection, mining, preprocessing, and analysis on structured and unstructured datasets.
• Develop LLM implementations, including LSTMs and BERT, capable of complex reasoning through chain of thought (CoT) steps.
• Deploy rapid proofs of concept (PoCs) by extending models through Azure, AWS, or GCP.
• Apply machine learning algorithms and cloud distributed AI tools to solve complex problems.

Required Skills

• 5+ years of experience building language models, machine learning, and AI models.
• Hands-on expertise with LLMs, LSTMs, and BERT in few-shot and zero-shot settings.
• Experience with Azure Cognitive Services, including Vision, Speech, Language, Decision, and Search.
• Proficiency in Azure Machine Learning and cloud-based AI implementation.
• Strong background in both data science and data engineering.
• Working knowledge of Python and SQL.
• Ability to work with structured and unstructured data.
• Degree requirements: Any Graduate.

Preferred Skills

• Knowledge of statistical programming in R.
• Familiarity with Scala, Java, C++, Hive, or Pig.

Key Skills

Education

Any Graduate