Machine Learning Engineer Job in Symphony Summitai

Responsibilities:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Perform research, POC and analyze ML algorithms and Azure cloud services that could be used to solve a given problem and ranking them by their success probability
• Perform Exploratory Data Analysis to gain insights from the data
• Verifying data quality and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed.
• Defining the pre-processing, feature engineering and validation strategies
• Understand current implementation and come up with ideas and suggestions to re-engineer existing feature
• Training models, tuning hyperparameters and production deployment for the Customers.
• Analyzing the errors of the model and designing strategies to overcome them
• Enabled automated or semi-automated deployment of machine learning layer by leveraging adjacent technologies.

Qualifications:

• Proven track record of building and delivering Production grade NLP based systems. Experience with Conversational AI product development is a big plus.
• Expert software engineer with deep programming skills & ability to quickly learn and adapt software systems & toolkits
• Hands-on experience with modern software engineering practices. Experience in supporting and working with cross-functional teams in a dynamic and fast-paced environment.
• Overall 5+ years of experience with 4+ years of experience in a Machine Learning Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Information Systems or another quantitative field.
• Should have experience using the following software/tools:
  • Deep proficiency with Python and basic libraries for machine learning (E.g. scikit-learn, numpy, pandas)
  • Working experience with NLP algorithms, tools, frameworks (E.g. Spacey, AllenNLP, BERT, ULMFIT, FLAIR)
  • Strong working experience in Microsoft Azure Cloud offerings especially Microsoft Cognitive Services (E.g. LUIS, Q&A Maker etc.)
  • Experience in Webapp Development (Flask/Django in Python)
  • Working knowledge of Git, SQL and Relational Databases
  • Working knowledge of overall machine learning workflow
  • Working experience of data analysis using Excel
  • Basic knowledge of Azure data factory, data pipeline and workflow management tools
  • Good to have: Hand-on working experience of building production grade conversational AI product.
  • Hands-on working experience in bash scripting, working in Linux & Windows environment

Soft Skills & Behavioral Qualifications:

• Must be a good team player and self-motivated to achieve positive results
• Takes ownership for responsibilities
• Demonstrates a high degree of reliability, integrity, and trustworthiness
• Demonstrates strong communication & presentation skills
• Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines
• Ability to accurately process high volumes of work within established deadlines