Mindbody Off Campus Recruitment Drive 2022 |
Hiring Fresher B.E/B.Tech/M.E/M.Tech/MS/PhD for the position of Machine
Learning Engineer for Pune Location
Machine Learning Engineer I -
Mindbody
IN-MH-Pune
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Development
Full
Time
581433
JOB FAMILY SUMMARY:
MINDBODY’s Machine Learning
& Artificial Intelligence is poised to lead predictive analytics in the
Enterprise Fitness, Wellness & Beauty industries with its unique suite of
products enhanced by Machine Learning and AI. Our goal is to enable completely
data-driven, automated smart analytics in MindBody products using ML, AI and
Deep Learning to enrich our customers' existing apps and workloads for a more efficient
and productive Fitness, Wellness & Beauty provider ecosystem. We are
looking for a Data Scientist to contribute, help define and ship our Machine
Learning & Artificial Intelligence (ML & AI) products enabling data
driven decision making via advanced Machine Learning, Micro-services Apps and
AI, backed by thousands of customers and multiple millions of consumers
data.
JOB SUMMARY:
As a Machine Learning Engineer,
you will provide strong algorithm and coding execution and delivery of Machine
Learning & Artificial Intelligence (Machine Learning) core engines focused
on MindBody Payer/Provider datasets. Working as a part of the product team,
this Machine Learning Engineer will translate business needs into advanced
analytics and machine learning models. The successful candidate will be
responsible for model selection and identification of appropriate training data
sets; building, training, and evaluating models; and delivering results to the
business (SaaS Web Apps as stand-alone products or integrated with existing
MindBody Apps) on a regular cadence. This role is part of a fully Agile Scrum
team, so the Machine Learning Engineer will work alongside a product owner,
technical lead, and team of software developers and data engineers to support
delivery of high-value analytics, ML, AI and software products for Fitness,
Wellness & Beauty Vendor Partners worldwide.
MINIMUM QUALIFICATIONS AND REQUIREMENTS:
·
0-2 years of experience in Machine Learning & Artificial
Intelligence/Machine Learning
·
B.Tech or M.Tech Degree in Computer Science, Engineering, Mathematics, Applied
·
Sciences, Statistics or job-related discipline or equivalent experience
·
M. S. or Ph. D. Degree would be added advantage
·
Experience with Python, R, Scala, SQL and one of the advanced Deep Learning, RL
or AI libs like TensorFlow and PyTorch
·
Experience developing solutions with Pandas/Scikit-learn, Spark or comparable
technologies
·
Experience Machine Learning & Artificial Intelligence notebooks (Jupyter,
Zeppelin or other)
·
Experience with AWS, Azure, cloud computing technologies
·
Passion for proactive health and wellness, beauty and fitness missions
·
Experience designing efficient Machine Learning & Artificial Intelligence
workflows and database architecture
·
Experience with forecasting, Bayesian networks, and graph analytics
·
Strong statistics training and experience
·
Experience with software development methodologies and software engineering
principles
·
Knowledge of program management theories, concepts, methods, best practices,
and techniques as needed to perform at the job level
·
Knowledge of relevant programming languages - for example R, python, C++, C,
SQL, Java – as needed to perform at the job level
·
Competency in knowing the most effective and efficient processes to get things
done, with a focus on continuous improvement
·
Knowledge of principles, techniques, and procedures used for production and
design of technology-based equipment and systems as needed to perform at the
job level
·
Knowledge of statistical theories, concepts, methods, best practices, and
analyses as needed to perform at the job level
·
Ability to develop reports, models, and simulations as needed to perform at the
job level
·
Competency in developing and delivering multi-mode communications that convey a
clear understanding of the unique needs of different audiences
PRINCIPAL DUTIES AND RESPONSIBILITIES:
·
Provides hands-on execution and implementation of Machine Learning &
Artificial Intelligence models
·
Works under general supervision to identify and analyze problems
·
Weighs relevance and accuracy of information
·
Upholds the company values and culture
·
Learns to use professional, fundamental concepts, practices and procedures of
the artificial intelligence and machine learning discipline
·
Learns and applies company policies and procedures to resolve routine issues
·
Uses data to support own point of view when interacting with the team
·
Provides information, analysis and recommendations in support of the machine
learning team.
·
Takes actions that are consistent with goals and objectives
·
Translates business analysis needs into well-defined machine learning problems,
and selecting appropriate models and algorithms
·
Communicates model evaluation, process, assumptions, and implications of
results back to a variety of stakeholders
·
Recognizes and prioritizes the most important work related to machine learning
models to achieve highest operational impact for analytics in the business
·
Balances tradeoffs among analytics value, model development methods and design
and technologies used to implement machine learning models with a bias toward
action
·
Performs collaborative work on machine learning problems and mentor junior data
scientists
·
Creates shared process models to effectively articulate multiple views of the
business solutions that support technical architecture for Big Data platform
implementation of stabilized Machine Learning core
·
Helps manage development of quantitative models and tools
·
Collaborates with leaders, customers and business partners to work on projects
·
All other duties as assigned
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