TekFortune Inc. | Jobs | Machine Learning Engineer | BigDataKB.com | 27-03-22

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Job Location: Bangalore/Bengaluru

 
  • Should have 5-10 years of IT experience, with at least 4+ Data Science Experience ( Assessment, Development)
  • Strong problem solving skills with Experience using statistical computer languages (R, Python, PySpark, etc.) to manipulate data and draw insights from large data sets.
  • Knowledge & Experience of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge & Experience in implementing of a variety of machine learning frameworks like SparkML etc
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Great communication skills
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig etc
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Work with Data Service Line leadership team to develop practice goals and objectives for Data Science
  • Contribute and drive an execution plan towards driving results based on defined practice objectives
  • Ensure the technical quality of all work within the team.
  • Provision of professional development and technical training for the team.
  • Contribute resources to multi-disciplinary teams in support of ad hoc project work.
  • Contribute towards delivering Data Science related proposals, thought leadership articles etc. for our customers and prospects
  • Oversight to teams assigned and ensuring right solutions and high quality of delivery
  • Contribute towards identifying relevant partnerships with major Data Science Technology providers, service providers with complementary skills, etc.
  • Contribute towards Conceptualize and develop framework, accelerators or solutions for specific use cases
  • Create visibility and presence for the organization in right forums, conferences and events
  • Periodic reviews with leadership team on practice operations, progress and overall direction

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