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.