Big Data Subject Matter Expert (SME) - Machine Learning & Generative AI

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AI Summary

Seeking a Big Data SME with 9-12 years of experience in data manipulation, statistical modeling, and machine learning. Responsibilities include data collection, analysis, reporting, and training. Requires expertise in Python, SQL, and cloud technologies, with a focus on Generative AI, NLP, and Computer Vision.

Key Highlights
Big Data SME role requiring extensive experience in data manipulation and ML model building.
Focus on Generative AI, NLP, Computer Vision, and Deep Learning.
Requires strong coding skills in Python and SQL, with cloud technology experience.
Key Responsibilities
Collecting data through means such as analyzing business results or by setting up and managing new studies
Transferring data into a new format to make it more appropriate for analysis
Build tools to automate data collection
Compare and analyze provided statistical information to identify patterns, relationships, and problems
Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
Prepare detailed reports for management and other departments by analyzing and interpreting data
Train assistants and other members of the team how to properly organize findings and read data collected
Design computer code using various languages to improve and update software and applications
Refer to previous instances and findings to determine the ideal method for gathering data
Leading consultants to grow and create tangible benefits and assets
Technical Skills Required
Python SQL Java C++ Generative AI Computer Vision NLP Deep Learning Machine Learning AWS Azure Google Cloud Platform Tensorflow Keras Pytorch OpenCV Bertl Elmo SpaCy NLTK Object Character Recognition Face Recognition R GLM Regression Random Forest Boosting Trees Text Mining Social Network Analysis Neural Networks Simulation Scenario Analysis Clustering Decision Trees
Benefits & Perks
Sponsorship will be provided
40-45 lacs CTC
Nice to Have
Hands-on Hybrid Development experience
Project Management background
Knowledge of the Consulting/Sales structure
Previous international experience (US, Canada, or Europe)
Experience creating Chatbots, and similar applications that use NLP
Object Character Recognition and Computer Vision projects like Face Recognition is a plus
Certification in a Cloud-Based/Machine Learning service desirable

Job Description


Big Data SME(Subject Matter Expert)


Location : London (Relocation required - Sponsorship will be provided)

Experience : 9-12 years

CTC- 40-45 lacs


Job Requirements:

  • 12 years of experience manipulating data sets and building statistical and machine learning models.
  • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field

- Fluent English (written/spoken)

  • Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
  • Experience Developing Machine Learning / Data Science models, from coding to deployment
  • 2+ years of experience in teaching or training.
  • 3+ Years of Hands-on Hybrid Development experience preferred.

Skills

  • Able to train/mentor/coach in coding (mandatory python and SQL, java or C++)
  • Project Management background preferred.
  • Knowledge of the Consulting/Sales structure.
  • Empathy and service attitude
  • Fast-paced
  • Project Management experience
  • Desirable previous international experience (US, Canada, or Europe)
  • Leading consultants to grow and create tangible benefits and assets.


Competencies

Mentor / Develop / Train consultants

Orientation to results

Leadership


Main responsibilities of the position

  • Collecting data through means such as analyzing business results or by setting up and managing new studies
  • Transferring data into a new format to make it more appropriate for analysis
  • Build tools to automate data collection
  • Compare and analyze provided statistical information to identify patterns, relationships, and problems
  • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
  • Prepare detailed reports for management and other departments by analyzing and interpreting data
  • Train assistants and other members of the team how to properly organize findings and read data collected
  • Design computer code using various languages to improve and update software and applications
  • Refer to previous instances and findings to determine the ideal method for gathering data
  • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
  • Prepare detailed reports for management and other departments by analyzing and interpreting data
  • Train assistants and other members of the team how to properly organize findings and read data collected
  • Design computer code using various languages to improve and update software and applications
  • Refer to previous instances and findings to determine the ideal method for gathering data

Desired Skills (Including but Not Limited to):

  • Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision
  • Python and SQL coding skills are indispensable
  • Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform
  • Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc.
  • Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus
  • Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets
  • Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Ability to compile and organize statistical information retrieved and present findings to management
  • Faculty to work toward multiple deadlines simultaneously
  • Strong problem-solving skills with an emphasis on product development.
  • Certification in a Cloud-Based/Machine Learning service desirable


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