Job Location: Pune
- 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:
- 2 – 4 years of experience in Machine Learning Artificial Intelligence/Machine Learning
- Masters or Ph. D. Degree in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
- 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, and leads shipping of core modules
- Collaborates with leaders, customers and business partners to work on projects
- All other duties as assigned
WORK ENVIRONMENT AND PHYSICAL DEMANDS:
- Moderate travel to conferences, ML AI forums and customer meetings as needed
- Dexterity of hands and fingers to operate a computer keyboard.
- This position is mostly stationary, will be required to remain stationary for extended periods of time.
- Specific vision abilities required by this position include close vision, color vision, and the ability to adjust focus.
- The noise level in the work environment is usually moderately quiet.
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