Harnham
SEARCH
Shortlist

Computer Vision Jobs in Chicago

At Harnham, we understand the importance of a strong Computer Vision team who can develop bespoke algorithms and continuously innovate. We make it our mission to utilize our vast Data & Analytics knowledge to deliver a professional and quality experience.

View Computer Vision Jobs in Chicago here now.

Latest Jobs

Unfortunately we have no live jobs currently in this sector.
Please register for job alerts to be notifed as soon as a new role becomes available.

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

COMPUTER VISION AND MORE. WHAT’S IN STORE FOR 2020?

Computer Vision and More. What’s in Store for 2020?

For years, we’ve been blending tech with tradition as technological advances have moved us forward. At the heart of it all are Data, the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). Demand is high for advanced connected devices and at the industrial level, this means robots. According to market reports, the smart robot market is expected to be worth just over $14 billion by 2023. As we reach the turn of the decade, there are a few other trends to be mindful of as well. These include such disruptive technologies as automation, phygital spaces, smart buildings, and digital twinning to name a few. While disruption may often be evocative of something negative. In the tech world, it isn’t. But how the technologies are used and what they’re for may change our world, not unlike the invention of electricity changed the world of agriculture into the Industrial Age. With that in mind, here are some of the most disruptive technologies for 2020: Robots & Automation It’s almost a broken record, isn’t it? How quickly technological advances are marching across our landscape of connected devices? But the immersion of these devices into our lives offer a variety of interactions far beyond that we’ve so far imagined. AI-enabled robots, for example, are able to interact and respond to time crunched human situations. There’s more to robots and automation than meets the eye and the additional technologies just might have the answers to the challenges we are facing and will face in the future. Phygital Spaces  What if you could go to a baseball game with the experience of being at the game without leaving your couch? What if you could watch a race as though you were a participant? What if…? What if the technology to do this was already here? Enter phygital spaces, the blending of physical spaces and digital technology by bringing together AR, VR, mixed, and human reality.  Ready, Player One? Predictions are in for the growth of the AR/VR Industry to a $160 billion industry in the next three years.  Smart buildings  Since 2000, the smart building market has been expanding. Voice Assistants, smart home tech, and IoT allow you to check on your home’s safety from a remote location, control your temperatures, and even let the cable man in (if you still have it) without ever leaving your office.  However, immersive experiences are also becoming part of business management systems as well. The common denominating factor in these new advances? Where once you controlled each stage, now, based on preferences, changes will be made by measuring heat signatures, time of day, or some other assigned metric.   Safety & Security Come First As exciting as these advances are, there is one important thing to remember. While robots have become smarter and we offer an abundance of Data to varying degrees for our convenience, robots are not human. They may be able to reason in bits and bytes, but moral reasoning remains an entirely human endeavor. GDPR in the UK. Data Privacy Regulations state by state across the United States. They are steps in ensuring your Data’s safety and security, but as we increasingly combine and blend robots and automation, AR and VR technologies, digital twinning, voice assistants, and more across our connected devices its important to be aware and careful what you do on networked systems. No matter how strong your password, no matter how secure your system, everything can be hacked. Want to get a jump on your 2020 job search? If you’re interested in Computer Vision, Robots and Automation, Big Data and Digital or Web Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

Mairead Holt

Mairead Holt

28. November 2019

DATA SCIENTISTS MOVE THE NEEDLE TO SCALE BUSINESS

Data Scientists Move the Needle to Scale Business

Today’s companies know how important it is to add Machine Learning and AI into their business, but without a plan, things can easily go sideways. Hiring Data Scientists for your business involves more than just hoping for the next Facebook or Google success. It’s about moving the needle on your own business. So, how do you do that?  Well, first you’ll want to think about what is you want from your business and from there, build a team to help get you there. We know that sometimes these two things pose challenges as well. So, where should you should begin? Ensure you have the right leadership structures in place In their role as Stakeholder, it’s important for top executives to have a clear understanding of where their business is and solid framework for where they want it to go. In other words, it’s important to ask yourself, is your business ready for that sort of growth and transition? Before you say, yes, and start looking for that unicorn employee, there’s a few things you need to know. Data Scientists aren’t magicians. They cannot wave a magic wand and make you ten times profitable overnight. Efficiency will come, but it will take time. In reality, if you don’t have the right Data sets, the right people in place, or the right backing and investment, then it will be a hard road to success and can lead to failed initiatives. So, how do you avoid that and get yourself set back on the right path? Here are a few key steps to consider: Don’t Put the Cart Before the Horse Understand your focus and the why of your business. Align your teams with a clear view of where you are and where you’d like to go in your business. Set clear expectations for yourself and your team.Decide What Your Team Should Look Like Ask yourself, “How much talent do I need?” Well, that depends on how much Data you’ll be working with and where you want those initiatives directed. For example, if you’re building a team just to focus on work recommendation systems, then you’ll need a far smaller team than if you were overhauling an entire platform or product line. Stop Chasing Shiny Objects Be realistic in your expectations as you build your team. So many businesses, when they think of Data Scientist, focus on the word scientist. And their first thought is they’d like to get someone with a PhD from Stanford who’s worked ten years at Google. A couple of things come to mind here, when I hear this and the first is this: When businesses first reach out, they talk to me about how they want someone from Google or Facebook or Netflix, but the reality is 9 times out of 10, you’re not going to be able to access that kind of talent.Be realistic about what sort of talent you can gain access to and ask yourself, if you could get someone from Google, Facebook, or Netflix, why would they leave that job to come work for you? What can you offer that those businesses cannot? It's important to understand the goal here is not to chase the shiny stereotypes, but to have clarity and desire to set up for success those that you do hire. For some businesses, the initial reaction is to just throw Data Scientists at a problem and believe they can fix things or move you forward faster. But like everything you need to put steps in place to get you from where you are now to where you want to be.  Learn, Grow, Pivot For most people who don’t come from a Data Scientist background, there are two schools of thought. Data Scientists are bright shiny objects who will fix all of their business problems overnight orA waste of time. To build a successful team, begin by educating those in the dark about what Data professionals are capable of and ensure everyone is aware of what is realistic. It’s important to understand that it may take six months to a year for a business to see any real outcomes. This doesn’t mean things aren’t working. It’s about investing time and not getting itchy, if something doesn’t instantly showcase results.  Rethinking Stability The gold watch after 40 years of working for the same company is a thing of the past. Good Data Scientists today, typically stay on for about 20-months, then move on to their next creative endeavor. This can be scary for a world that expects people to stay in positions for four or more years, particularly if you’re not from a tech background. However, the definition of a scientist is someone who researchers, someone who tries to find new ideas and new concepts, so these are people who are naturally inclined towards learning and towards being in new situations and these people get very, very bored very quickly. Understand that if you build your team well, people will move on and drop away. This is a good thing. It means you built a strong team and the ones who have moved on have got you to this place, now you need the next team to help you get to the next level. A constant state of flux is scary, but it can also mean your business is scaling faster, and your team of Data professionals are doing their job to move the needle. Give your team the freedom to learn, give the freedom to work on projects outside of their natural scope to be able to bring value to your business, although even within that year 18-month framework you might not see proof straight away. You need to be ok with the fact that you going to lose people. That typically means you’re doing something good.  If you’ve got a Data Scientist who is happy to just stay at your company and work on the same projects for six, seven, eight years, that’s probably a red flag; how will they keep improving? “What Got Us Here, Won’t Get Us There” The needs of your group are going to change and shift and so the people you need are going to change and shift. Again, it’s about being adaptable and being able to ride those waves and change as and when we need to. If you’re looking for more guidance in scaling your business using Data Scientists and building your Data team, Harnham can help. If you’re a candidate interested in Big Data & Analytics, we may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

Max Dosad

Max Dosad

05. September 2019

Recently Viewed jobs