MINDBODY pool campus drives 2022: MINDBODY is hiring candidates for the role of Machine Learning Engineer I for the Pune, India location. The whole details about MINDBODY Recruitment Drive 2022 are as follows. The aspirants who are accomplished in any B-Tech/M-Tech graduates can apply for this role. Applications are invited based on eligibility criteria. Therefore, those who are eligible and interested should apply to MINDBODY Recruitment 2022 online. If Not please do follow today’s job Updates for more off-campus and walk-in drive updates. For more details about the IT, Non-IT, and Government jobs you can find more updates through these posts.
MINDBODY Career drive 2022
MINDBODY Freshers Recruitment 2022 Details:
|Job Title||Machine Learning Engineer I|
|Type Of Job||Off-Campus Drive|
|Salary||As per Company Norms|
About MINDBODY Hiring:
Mindbody’s 20 years of product innovation, research, and thought leadership fueled the boom of the boutique wellness revolution and continue to foster the growth of the global wellness industry. We serve wellness professionals around the world who have dedicated their lives to bettering other lives, connecting them with millions of people seeking those transformative experiences. Everything we do—every product, every conversation, every line of code—is focused on bringing those moments of connection and renewal to life.
MINDBODY Openings Details:
- Company Name:- MINDBODY
- Job Position: Machine Learning Engineer I
- Job Location:- Pune, India
- Salary Package:- As per Company Standards
- Job Category:- B-tech/M-tech
- 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
Role & 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
How To Apply For MINDBODY Walk-in Drive 2022:
- Eligible candidates are advised to open an online Apply Link ( Link is given below).
- This link opens a new tab on your browser
- Read carefully the above page and find apply button on this page
- Fill in all your academic qualifications, skill experience, and other mandatory details.
- Upload your resume.
- Check the details before submitting.
- If you are shortlisted it will be shared through e-mail or phone call
- Interview and Venue details also will be shared with shortlisted candidates through e-mail.
MINDBODY Recruitment 2022 Registration Link ——–> Apply Now
Note:– Only shortlisted candidates will receive the call letter for further rounds
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