Data science

All You Need to Know About a Human-Centered Machine Learning Designer

Here’s what you need to know if you are aspiring to become a human-centered ML designer
Roles and responsibilities: Responsible for the “design, development and deployment of information systems that learn from and collaborate with humans in a deep, significant way. These professionals are responsible for creating smart systems that can learn the preferences and behavior patterns of individuals, using information processing and pattern recognition. Humans create these ML systems so they end up not needing human intervention down the road.

Average salary (per annum): US$116,668

 

Qualification

Advanced degree in computer science, math, statistics, or a related discipline
Extensive data modeling and data architecture skills
Programming experience in Python, R, or Java
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or other distributed computing systems
Experience working in an Agile environment
Advanced math skills (linear algebra, Bayesian statistics, group theory)
Strong written and verbal communications

 

Top Online Course 
Machine learning design, Coursera: In this course, you will learn how to design technologies that bring people joy, rather than frustration. You’ll learn several techniques for rapidly prototyping (such as Wizard of Oz Prototyping) and evaluating multiple interface alternatives and why rapid prototyping and comparative evaluation are essential to excellent interaction design. You’ll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users. Armed with these design-thinking strategies, you’ll be able to do more creative human-centered design in any domain. 

Machine learning, edX courses: Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real-world situations ranging from identifying trending news topics to building recommendation engines, ranking sports teams, and plotting the path of movie zombies.

Major perspectives covered include: probabilistic versus non-probabilistic modeling and supervised versus unsupervised learning

Topics include classification and regression, clustering methods, sequential models, matrix factorization, topic modeling, and model selection.

Machine Learning’s fundamentals, 4 Geeks Academy: Get trained by a renowned expert in A.I. Adoption; explore Machine Learning’s fundamentals and Deep Learning with some of the most powerful technologies that truly scale intelligence for business. Practice with real-life business scenarios typical in business and review some of the tools used in the industry. Strategize and develop your A.I. following the lifecycle development from start to end, including deployment into production and maintenance with Privacy, Security, and Ethics.

 

Top Institutes Offering the Program:

B.Sc in Machine Learning Designing: Stanford University
M.Sc in Machine Learning Designing: University of California
B.Sc in Machine Learning: University of Maryland-College Park

 

Top recruiters for this Job
Quantiphi: It is an award-winning applied AI and data science software and services company driven by the desire to solve transformational problems at the heart of the business. Quantiphi solves the toughest and complex business problems by self-optimizing systems. 

Persistent Systems (BSE & NSE: PERSISTENT): It builds software that drives our customers’ business, for enterprises and software product companies with software at the core of their digital transformation. 

Accenture: Accenture plc is an Irish-domiciled multinational company that provides consulting and professional services. A Fortune Global 500 company, it reported revenues of $44.33 billion in 2020 and had 569,000 employees. Accenture’s current clients include 91 of the Fortune Global 100 and more than three-quarters of the Fortune Global 500. This company focuses on growing customer expectations, market-shaping AI, Self-Optimizing systems. 

FactSet: It creates data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial investment decisions.

Cognizant (Nasdaq-100: CTSH): It is one of the world’s leading professional services companies, transforming clients’ business, operating, and technology models for the digital era. Its unique industry-based, consultative approach helps clients envision.

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