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Senior Specialist - Data Engineering

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Date: Nov 30, 2022

Location: US

Company: LTIMindtree

Specialist - Machine Learning Engineer

Required Skills/Experience

1. Overall 6+ years experiance

2. 2+ years of practical experience with advanced machine learning techniques and algorithms

3. 2+ year experiance of Python programming language and associated machine learning libraries/packages

3. 2+ Experience in multiple tools/services/frameworks within Azure cloud platform (Azure Machine Learning, Azure Cognitive services, Text Analytics, LUIS etc.)

3. Excellent business, communication, and presentation skills

4. The ability to translate complex information into non-technical, easy to understand language

 

Desirable Skills

1. Experience with MLOps

2. Good working knowledge of the Scrum framework and the value of Scrum

3. Working knowledge and experience with general Property & Casualty concepts

Key Responsibilities

1. Applying data mining, machine learning, and statistical analysis techniques like hypothesis testing,segmentation and modelling to analyse data sets

2. Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate

3. Train and retrain systems when necessary

4. Work collaboratively in a group of passionate developers to build and model data pipelines in fast paced and outcome-oriented environment

5. Unifying, enriching, and analysing members data to derive new insights and opportunities

6. Leveraging in-house data platforms as needed, and recommending and building new data platforms/solutions as required to meet business requirements

7. Clearly communicate findings, recommendations, and opportunities to improve data systems and solutions

8. Demonstrate deep understanding of and ability to teach data science,concepts, tools, features,functions, and benefits of different approaches to apply them

 

“LTI values diversity and inclusion and is committed to the principles of Equal Employment Opportunity EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity.”


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