Innodata Isogen | Jobs | Machine Learning Developer | BigDataKB.com | 27-03-22

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Job Location: Noida

Key Responsibilities

  • Discover the information hidden in structured & unstructured data by applying data mining techniques, doing statistical analysis, and building high quality prediction systems
  • Evaluating business problems for suitability & feasibility of a predictive solution
  • The candidate should understand and use computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architecture.
  • Should apply machine learning algorithms and libraries
  • Evaluating & identifying the right Machine Learning and data science techniques & toolsets to address a variety of predictive analytics problems
  • An individual contributor as well as a guide to the fellow team members in discovery, design, and development of analytical models
  • Working with functional & technical teams in the development, pilot & optimization of tools and models using Machine Learning & Natural Language Processing

Qualifications & Skills

  • Advanced degree in statistics, computer science, machine-learning or related fields such as econometrics
  • 4+ years of professional experience in software engineering, with a good understanding of the Information Technology industry
  • 3+ years of data mining (structured / unstructured data) & Machine Learning experience, with a proven ability to design and develop solutions across ML landscape (supervised, un-supervised, semi-supervised etc.) Excellent applied statistics skills
  • Supervised algorithms, such as k-NN, Naive Bayes, Decision Trees, Logistic Regression, SVM, Random Forests, Neural Nets etc.
  • Unsupervised algorithms including clustering, anomaly detection, document similarity, dimensionality reduction etc.
  • Image processing/ classification using machine learning
  • Proven experience with below toolkits & technologies is a must: Statistical programming languages such as Python.
  • AWS/ GCP/ Azure Machine Learning
  • ML and NLP toolkits such as scikit-learn, TensorFlow, PyTorch, Keras, Stanford suite, Python NLTK, spaCy
  • Strong attention to detail and excellent quantitative and qualitative analytical ability
  • Team player and a self-starter; Excellent collaboration skills
  • Excellent oral & written communication skills, with ability to explain machine learning concepts and findings or techniques to varied stakeholders

Apply Here

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