Principal Data Scientist - Delivery Lead - Artific...

Company:
Location: Hyderabad, Telangana

*** Mention DataYoshi when applying ***

The Delivery Lead AI and Cognitive Engineer will lead the AI teams through the phases of use-case data exploration and prototyping to the design, implementation and deployment of the resulting Cognitive services supporting the use-case.

Responsibilities:
  • Become Subject Matter Expert in Data Science and Machine Learning
  • Lead a team of data scientists, machine learning engineers, software engineers and QA engineers.
  • Lead and mentor junior team members in data collection, preprocessing, feature engineering, data visualization and analysis.
  • Engage with lines of business, users and analysts to explore and prototype opportunities and use-cases exploring data and the application of cognitive and machine learning technologies
  • Build automated data collection and preprocessing pipelines.
  • Build models to address business problems
  • Lead the design, development, testing and support of Cognitive microservices, operationalizing and productizing resulting models and cognitive solutions.
Qualifications:
  • Bachelor's degree (preferably in Computer Science), Masters preferred
  • Experience with modern, object-oriented or functional programming, (Python, Java, C++, Scala, SQL, R)
  • Proven experience as a Data Scientist, Data Analyst or Machine Learning engineer.
  • Strong background in math, statistics and analysis.
  • Strong analytical skills. Previous experience or education focused on statistics or data science is valuable.
  • Strong Communication skills. The ability to communicate at the right level with all parties involved, including senior management and business owners.
  • Experience in any of the following is highly desirable:
  • Leading a software development team
  • Data Science and Machine Learning Frameworks (R, Apache Spark / MLlib, TensorFlow, Scikit-learn, etc…)
    Natural Language Processing (NLTK, CoreNLP, Gensim, Spacy, etc..)Experience with Big-Data technologies and cloud (Hadoop, AWS, other)
  • Linux / Bash scripting
  • Relational databases (Oracle, PostgreSQL, MySQL, etc.)
  • Agile development methodology
  • CI/CD Development environments and tools (GIT, Maven, Jenkins, etc)
  • RESTful Microservice APIs

0.00-50.00 Years

*** Mention DataYoshi when applying ***

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