Senior AI/ML Engineer

Blanc Labs is a preferred partner for global enterprises looking to digitize and automate their operations and build their next generation of digital products and services. Our successful engagement powers companies to accelerate digital services and drive adoption and customer growth.

You will play a crucial role in shaping the future of Machine Learning and Data Science requirements of our clients and actively contribute to the success of the AI/ML transformation. Within the Enterprise Data Management Team of our Data & Analytics organization, you will help our business units to design, build, and maintain knowledge-based systems, driven by the vision to enable everyone to effectively find, learn, share, and innovate throughout the enterprise.

Essential Duties and Responsibilities:

  • Develop and apply algorithms based on Natural Language Processing, Machine Learning (LLMs like GPT/ChatGPT), and knowledge Graphs to extract, process & and analyze information from unstructured documents
  • Develop and apply algorithms for classifying, extracting, and redacting structured, semi-structured, and unstructured documents.
  • Work in a team with data scientists, data and knowledge engineers, software developers, and product owners to create scalable, reusable and performant data-oriented applications. e.g., document understanding, chatbots, recommender, search
  • Convey technically difficult concepts in a clear and understandable way, translate business needs to technical specifications, and provide guidance for applying natural language processing and machine learning to the management and sales team.
  • Evaluate the latest methods and technologies and support the design of the data and analytics platforms and governance infrastructures
  • Continuously improve quality and performance while owning applications from idea to operations

What You’ll Need to Be Successful:

  • Bachelor’s degree in computer science or Engineering.
  • Experience in applying natural language processing in a business-relevant context, in production environments
  • Expert understanding of Natural Language Processing, Machine Learning / Deep Learning as applied to Natural Language (e.g., LLMs)
  • Experience in Intelligent Document Processing classification and extraction algorithms and techniques is a plus.
  • Excellent programming skills in Python, including mastering the standard libraries for NLP, machine learning and data science; knowledge of one other programming language (e.g., Java, JavaScript) is a plus
  • Experience in any search (e.g., based on Elasticsearch, MongoDB), semantic technologies (e.g., Vector Databases), and chatbots is considered a plus – An independent, solution-oriented and team-oriented way of working, not afraid to take on responsibility
  • Strong desire to learn & and upskill at the intersection of data, science and industry Experience with the following is welcome and considered a plus:
  • Cloud technologies like Microsoft Azure (e.g., Databricks, Azure DevOps, Azure ML) – CI/CD using e.g., git, Jira, docker, Azure MLOps
  • Agile software development using Scrum/Kanban

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