Trending February 2024 # Aaron Sorkin Originally Wanted Tom Cruise To Play Steve Jobs In Upcoming Biopic # Suggested March 2024 # Top 6 Popular

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While it has ultimately been decided that Michael Fassbender will be cast as Steve Jobs in the upcoming biopic about the late Apple co-founder, a leaked email exchange reveals that writer Aaron Sorkin originally had a more prominent actor in mind for the role: Tom Cruise.

Ars Technica has shared a few excerpts from the email exchange, leaked as part of the massive Sony data dump, in which Sorkin tells Columbia Pictures chairman Amy Pascal that he has somewhat convinced producers Danny Boyle and Scott Rudin about casting Cruise as Jobs.

Sorkin wrote in his email:

I’ve gotten Scott and Danny to the point where they’re now a little interested in Tom Cruise. Though both remain concerned about his age (me less so) everyone agrees that he’s an actor who can really handle language (Lions for Lambs, Magnolia, A Few Good Men) and a movie star who feels comfortable owning the stage. He’s in London filming right now and Scott wants to get him a script to read and a meeting with Danny before Danny comes here to LA next week. I’ve been warned that he likes to bring in Chris McQuarrie to re-write but [CAA agent] Maha Dakhil (who wants him in the movie) has assured me that won’t happen.

The screenwriter then wrote a follow-up email:

I just got off the phone with Danny who’s concerned about the age but I think I got him thinking about it and he’s going to look at some scenes from Lions for Lambs where Tom’s basically auditioning for Jobs. He’s also concerned that the choice will be met with derision because it’s such a commercial choice but I honestly think that ends up working for us. Tom’s going to surprise some people and they’ll want to reward that. I don’t think we’d have to recast Woz. Seth’s the right age in the first act and Tom’s the right age in the third. And the movie announces itself pretty quickly as not being literal–as being a painting rather than a photograph. Look, I wouldn’t cast Clint Eastwood but if I saw Tom Cruise flying around the backstage corridors of Symphony Hall I wouldn’t think he was too old. I think it would be dazzling performance.

Pascal agreed bringing on Cruise was a good idea, adding that Boyle and Rudin were skeptical about the actor’s older age and were more set on having Fassbender play the role. The emails were exchanged in late October, just weeks before Sony handed off the movie to Universal.

Sorkin was quite blunt in his response: “This used to be an event. I don’t know who Michael Fassbender is and the rest of the world isn’t going to care. This is insane.” He soon conceded that Fassbender is a “great actor whose time has come,” noting that “if the movie’s good, he’ll be on the cover of everything and get nominated for everything.”

While Sorkin was eyeing Cruise, the emails revealed actors Matthew McConaughey and Tobey McGuire both expressed interest in portraying Jobs in the biopic, according to Ars.

The leaked Sony data most recently revealed falling revenue forecasts for the Steve Jobs biopic and confirmed actress Natalie Portman’s decision to pass up a role in the movie. In addition to Michael Fassbender cast as Steve Jobs and Seth Rogen cast as Steve Wozniak, Universal is eyeing The Newsroom star Jeff Daniels to play former Apple CEO John Sculley, although the leaked emails show actor Tom Hanks previously expressed interest in the role.

Production of the biopic will reportedly begin in the spring.

Image via Ars Technica

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Fast Company Unearths Some Steve Jobs ‘Lost Years’ Wisdom

We are always surprised when writers suddenly realize they have hours and hours of unreleased Steve Jobs interviews that they forgot about so long after his passing.  Fast Company’s Brent Schlender has such a trove from Jobs’ NeXT (and Pixar) years.

With that, check out the whole article here, which is summarized below (Illustrations by George Columbo).


“The thing that I really love about Pixar is that it’s exactly like the LaserWriter. I remember seeing the first page come out of [Apple’s] LaserWriter [in 1985]–which was the first laser printer, as you know–and thinking, There’s awesome amounts of technology in this box. There’s the graphic engine, there’s the controller, there’s the PostScript software, awesome amounts of stuff. And yet no one is gonna care and they don’t need to know; they’re gonna see this output, and they’re gonna go, I think that’s great. They’re gonna be able to judge for themselves.

“And it’s the same with Toy Story. The audience isn’t gonna care about the Pixar animation system, they’re not gonna care about the Pixar production system, they’re not gonna care about anything–except what they will be able to judge for themselves, and that’s the end result, which they can appreciate without having to understand what went into it, what went into creating it. And that, I love. ”


“My model of management is the Beatles. The reason I say that is because each of the key people in the Beatles kept the others from going off in the directions of their bad tendencies.

“They sort of kept each other in check. And then when they split up, they never did anything as good. It was the chemistry of a small group of people, and that chemistry was greater than the sum of the parts. And so John kept Paul from being a teenybopper and Paul kept John from drifting out into the cosmos, and it was magic. And George, in the end, I think provided a tremendous amount of soul to the group. I don’t know what Ringo did.

“That’s the chemistry [at Pixar] between Ed [Catmull] and John [Lasseter] and myself. It’s worked pretty doggone well. We talk about things a lot, and sometimes one of us will want to do something that’s really stupid, or maybe not stupid but . . . oh, I don’t know . . . maybe not the wisest thing in the long run for the studio. And, you know, at least one of the other two will say, ‘Hey, you know, I think there’s a better way to do that.’ So we’ll all slow down and think it through, and we usually come up with a much better way.”


“The last few years at NeXT, I’ve gotten a little better glimpse of what I really saw at Xerox PARC [in 1979], which was two things. One blinded me to the other because it was so dazzling. The first, of course, was the graphical user interface.

“The second thing I saw–but didn’t see–was the elaborate networking of personal computers into something I would now call ‘interpersonal computing.’ At PARC, they had 200 computers networked using electronic mail and file servers. It was an electronic community of collaboration that they used every day. I didn’t see that because I was so excited about the graphical user interface. It’s taken me, and to some extent the rest of the industry, a whole decade to finally start to address that second breakthrough– using computers for human collaboration rather than just as word processors and individual productivity tools. ”


“I don’t really believe that televisions and computers are going to merge. I’ve spent enough time in entertainment to know that storytelling is linear. It’s not interactive. You go to your TV when you want to turn your brain off. You go to your computer when you want to turn your brain on. Those are not the same thing.”


“Nobody wants to subscribe to music. They’ve bought it for 50 years. They bought 45s, they bought LPs, they bought 8-tracks, they bought cassettes, they bought CDs. Why now do they want to start renting their music? People like to buy it and they like to do what they damn well please with it when they buy it.

“The rental model is a money-driven thing. Some finance person looked at AOL getting paid every month and said, ‘I’d sure like to get some of that recurring subscription revenue. Wouldn’t that be nice?’ It’s certainly not a user-driven thing. Nobody ever went out and asked users, ‘Would you like to keep paying us every month for music that you thought you already bought?’”


“In most businesses, the difference between average and good is at best 2 to 1, right? Like, if you go to New York and you get the best cab driver in the city, you might get there 30% faster than with an average taxicab driver. A 2 to 1 gain would be pretty big.

“The difference between the best worker on computer hard-ware and the average may be 2 to 1, if you’re lucky. With automobiles, maybe 2 to 1. But in software, it’s at least 25 to 1. The difference between the average programmer and a great one is at least that.

“The secret of my success is that we have gone to exceptional lengths to hire the best people in the world. And when you’re in a field where the dynamic range is 25 to 1, boy, does it pay off.”


“Hollywood and Silicon Valley are like two ships passing in the night. They are not trading passengers. They speak a different jargon; they have grown up with completely different models for how to grow a business, for how to attract and retain employees, for everything. They’ve grown up with completely different role models, and so the people think entirely differently. I mean, when you’re in Silicon Valley, you don’t have to explain Silicon Valley to anyone else because everybody’s here and understands it. And the same is evidently true of Hollywood–neither side can explain themselves to the other very well at all.

“These are parallel universes that have less in common than one would think. What I like in Silicon Valley is to hang out with the engineers. What I like about the people I’ve met from Hollywood are the creative people. They’re the heart of Hollywood, not the people driving around in their Mercedes SLs talking on their cellular phones and making deals, the agents and stuff; I couldn’t care less about that–that’s not Hollywood to me.

“The part of Hollywood that we have attracted [at Pixar] is the creative side, the creative talent. We value that exactly equally with the technical talent.”


“Pixar has been a marathon, not a sprint. There are times when you run a marathon and you wonder, Why am I doing this? But you take a drink of water, and around the next bend, you get your wind back, remember the finish line, and keep going.

“Fortunately, my training has been in doing things that take a long time. You know? I was at Apple 10 years. I would have preferred to be there the rest of my life. So I’m a long-term kind of person. I have been trained to think in units of time that are measured in several years. With what I’ve chosen to do with my life, you know, even a small thing takes a few years. To do anything of magnitude takes at least five years, more likely seven or eight. Rightfully or wrongfully, that’s how I think.”



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Video: Tim Cook Talks Privacy, Steve Jobs And More In Stanford 2023 Commencement Address

Tim Cook addressed graduates of Stanford University yesterday. Notably, Apple co-founder and college dropout Steve Jobs delivered one of the best commencement addresses I’ve heard thus far fourteen years ago, also at Stanford.

Here are the key excerpts from Cook’s speech.

On privacy

If we accept as normal and unavoidable that everything in our lives can be aggregated, sold, or even leaked in the event of a hack, then we lose so much more than data.

We lose the freedom to be human.

Think about what’s at stake. Everything you write, everything you say, every topic of curiosity, every stray thought, every impulsive purchase, every moment of frustration or weakness, every gripe or complaint, every secret shared in confidence.

In a world without digital privacy, even if you have done nothing wrong other than think differently, you begin to censor yourself. Not entirely at first. Just a little, bit by bit. To risk less, to hope less, to imagine less, to dare less, to create less, to try less, to talk less, to think less. The chilling effect of digital surveillance is profound, and it touches everything.

What a small, unimaginative world we would end up with. Not entirely at first. Just a little, bit by bit. Ironically, it’s the kind of environment that would have stopped Silicon Valley before it had even gotten started.

We deserve better. You deserve better.

On being a builder

He encouraged students to be builders in their lives.

Whatever you do with your life, be a builder. You don’t have to start from scratch to build something monumental.

And, conversely, the best founders, ones whose creations last, and whose reputations grow rather than shrink with passing time, they spend most of their time building piece by piece. Builders are comfortable in the belief that one day their life’s work will be bigger than them. Bigger than any one person. They’re mindful that their effects will span generations. That’s not an accident, and in a way, it’s the whole point.

On Steve Jobs

Cook initially refused to believe that Steve was terminally ill.

When Steve got sick, I had hardwired my thinking to belief that he would get better. I not only thought he would hold on, I was convinced down to my core that he’d still be guiding Apple long after I myself was gone.

Then one day he called me over to his house and told me that it wasn’t going to be that way. Even then, I was convinced he would stay on as chairman. That he would step back from the day-to-day, but always be there as a sounding board. But there was no reason to believe that. I never should have thought it. The facts were all there. And when he has gone, truly gone, I learned the real visceral difference between preparation and readiness. It was the loneliest I’ve ever felt in my life by an order of magnitude.

It was one of those moments where you can be surrounded by people, yet you don’t really see, hear, feel them. But I could sense their expectations. When the dust settled, all I knew was that I was going to have to be the best version of myself that I could be. I knew that if you got out of bed every morning and set your watch by what other people expect or demand, it’d drive you crazy. So what was true then is true now. Don’t waste your time living someone else’s life. It takes too much mental effort; effort that should be dedicated to creating or building.

On life and death

Cook said he never felt lonelier in his life than after being named Apple’s CEO shortly before Jobs’s passing, saying “your mentors may leave you prepared, but they can’t leave you ready.”

Graduates, the fact is, when your time comes, and it will, you’ll never be ready. But you’re not supposed to be. Find the hope in the unexpected. Find the courage in the challenge. Find your vision on the solitary road.

Don’t get distracted.

There are too many people who want credit without responsibility Too many who show up for the ribbon cutting without building anything worth a damn. Be different. Leave something worthy. And always remember that you can’t take it with you.

You’re going to have to pass it on.

“Fourteen years ago, Steve stood on this stage and told your predecessors, ‘your time is limited, so don’t waste it living someone else’s life.’ Here’s my corollary: You mentors may leave you prepared, but they can’t leave you ready.”

Cook’s prior commencement addresses include Tulane University last month, his graduate alma mater Duke University last year, MIT in 2023, George Washington University in 2024 and his undergraduate alma mater Auburn University in 2010.

How do you like Cook’s latest speech?

Artificial Intelligence Jobs In 2023

Artificial intelligence jobs are not a new phenomenon, but the AI job market is growing as AI market itself is seeing rapid expansion. According to research firm IDC, AI is currently seeing an annual growth rate approach 40 percent.

Amid these changes, AI job titles have changed and expanded – and AI paychecks are heading skyward. Earlier roles were “statistician” or “mathematician,” while today you’ll hear newer terms like “data scientist”  and “predictive analytics expert.”

The rapid emergence of new AI titles reflects the fact that AI has become practical for mainstream use as the result of affordable cloud computing and storage costs, a change from prohibitively expensive supercomputers. The growth of AI companies and the expansion of related technology like machine learning has expanded AI job titles.

Similarly, some of the AI algorithms used today have existed for several decades, but until recently, they lacked the volume and richness of data required to drive value. Now there are many different types of AI jobs or roles available, some of which merely add “AI” to an existing title (e.g., “AI developer”). Others reflect different aspects of AI (e.g., “data engineer,” “algorithm developer” or “machine learning scientist”).

For the purpose of this article, AI job titles, their general job descriptions and their salary ranges are limited to technical titles.

Also see: The Pros and Cons of AI

A typical ad for an AI job in today’s rapid growth artificial intelligence sector.

Jobseekers and career builders are wise not to take AI job titles at face value. For example, some companies require data scientist candidates to hold a PhD or MS in Computer Science or Statistics, while other organizations may accept a BS or even no college degree and certain types of experience. Similarly, a “senior” title may require a graduate degree and more experience at some companies than others.

Some of today’s most popular AI job titles include:

AI developer

AI engineer

Algorithm developer

AWS machine learning engineer

Azure data scientist

Data scientist

Lead data engineer

Lead data scientist

Machine learning scientist

ML data developer

Senior data scientist

Senior ML engineer

It is important to read the mandatory requirements of any job listing to determine whether it is actually a fit. For example, some technical AI positions require R and Python expertise whereas others may only require R or Python experience.

Another reason to maintain an open mind about job descriptions is that the people writing and approving job requisitions may lack the technical expertise to articulate what the organization actually needs. The result is sometimes unrealistic qualifications that even the most sought-after experts lack.

Following are some sample job descriptions that are based on actual job postings. They have been abbreviated for easier comparison.

Job description: Responsible for maintaining, enhancing and implementing AI solutions.

Mandatory skills:

R, Python and/or C#

AWS or Azure AI services and frameworks

AI, ML, NLP, REST APIs, libraries, frameworks

Cloud application design, development and deployment

Hands-on experience with AI, ML, NLP and cloud applications

Education: BS, Computer Science

Job description: Develops solutions to large-scale problems and bridges the gap between software developers and research scientists

Mandatory skills:

ML, DL, NLP, computer vision


Past experience defining and coding and validation tests

Test automation script writing

Programming experience

Education: MS or PhD in Computer Science, AI, ML or related field.

Job description: Develops algorithms for specific use cases.

Mandatory skills:

Algorithm development

Algorithm performance assessment and reporting

Algorithm optimization

Education: BS in Computer Science or equivalent as relevant to the position (e.g., Robotics or Electrical Engineering)

Job description: Build out data models and create very large data sets.

Mandatory skills:

3+ years of AWS or Azure services experience

3+ years ML and data labeling

3+ years Python or R and Python

3 – 5 years data management experience

Education: BS, Compute Science, MS or PhD may be preferred

Job description: Translate customer requirements into POCs and successful solutions.

Mandatory skills:

R and Python


2+ years of data science experience

ML, NLP, DL, depending on the position and clients

Experience with platform (AWS or Azure) and its services

Education: MS in Computer Science or related field

Job description: Organize structured and unstructured data, build data models and interpret complex data sets

Mandatory skills:

R and/or Python

ML and/or NLP, DL depending on the position

Data mining

Education: BS or MS in Computer Science or Equivalent

Job description: Re-engineer business intelligence processes, design and develop data models, and share your expertise throughout the deployment process.

Mandatory skills:

AWS or Azure

Cloud computing

Hadoop, Spark

Python, Scala or Java

ML model deployment

Education: BS, Computer Science or equivalent

Job description: Turn client challenges and goals into successful AI, ML or DL solutions that meet or exceed expectations; train junior data scientists.

Mandatory skills:

R, Python, or both preferred

POC development and demonstration

8+ years end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations

8+ years of development, implementation and use of ML models and quantitative techniques for prediction and classification

2+ years of relevant, specialized experienced (e.g., NLP)

Education: MS in Computer Science, Statistics, or Math; PhD preferred

Mandatory skills:

Proven, in-depth understanding of ML algorithms and modeling including supervised, unsupervised and reinforcement learning models, transfer learning, optimization and probabilistic graphical models

In-depth experience with Spark or Hadoop and either PyTorch or Tensorflow

Python and Java, Scala, and/or R

Experience creating production environment data analytics and applications

Education: PhD in Computer Science or related field with a focus on ML, AI or data mining or an MS plus experience equivalent to holding a PhD

For any number of complex reasons, some AI jobs require additional significant experience, as do the positions below. In truth, the field is still new enough that the exact amount of experience is heavily dependent on individual employers.

Job description: Apply different NLP techniques to areas such as classification, data/knowledge extraction, disambiguation, sentiment analysis, etc. Identify and categorize entities in text such as people, places, organizations, date/time, quantities, percentages, currencies and more.

Mandatory skills:

R, Python and/or C#

AWS or Azure AI services and frameworks (cognitive, bots)

AI, ML, NLP, REST APIs, libraries, frameworks

Cloud application design, development and deployment

Experience Level:

10+ years with the target platform (AWS or Azure)

5+ years development experience

Hands-on POC experience proving an architecture concept

Experience with large, diverse data sets

Education: MS in Computer Science or Computer Information Systems (CIS)

Job description: Responsible for maintaining, enhancing and implementing solutions

Mandatory skills:

R, Python and/or C#

AWS or Azure AI services and frameworks (cognitive, bots)

AI, ML, NLP, REST APIs, libraries, frameworks

Cloud application design, development and deployment

Experience Level:

10+ years software development

7+ years R, Python or C#

5+ years AI, ML, NLP and cloud application development

Education: BS, Computer Science or Engineering

Job description: Design and implement cutting-edge solutions across a breadth of domain areas.

Mandatory skills:

ML, DL, NLP, computer vision, recommendation engines, pattern recognition, large-scale data mining

Predictive, statistical, and data mining modeling

Graph databases

AWS, Azure or IBM Watson

Hadoop, Spark or other Big Data platform

Proficient with ML algorithms

Education: BS or MS in Computer Science, Engineering, Statistics or Math

AI-related jobs tend to share very similar compensation ranges, which may be misleading. While it may seem odd that people with the same title could have base compensation that varies by $50,000 or $100,000, some of the differences have to do with the present levels of compensation in specific markets. For example, jobs in San Francisco and Manhattan tend to pay more than those in other major metropolitan areas given the cost-of-living differences.

Job candidates should therefore go into a job search with an open mind and research what’s available at that point in time. The candidate should also be clear about which titles and compensation packages are acceptable since a better title may not mean more pay or vice versa.

Current salary ranges for the positions discussed above are:

AI developer: $90,000 – $150,000

AI engineer – $130,000 – $210,000

Algorithm developer – $90,000 – $130,000

Machine learning engineer – $70,000 – $170,000

Azure or AWS data scientist – $85,000 – $160,000

Data scientist: $50,000 – $150,000

Lead data engineer: $90,000 – $175,000

Lead data scientist: $125,000 – $195,000

Machine learning scientist: $100,000 – $150,000

ML data developer: $100,000 – $170,000

Senior AI developer: $90,000 – $150,000 (high end)

Senior data engineer: $90,000 – 175,000

Senior data scientist: $95,000 – $210,000

Upcoming Drops: September 26 – October 2

Let’s face it: The NFT space moves really fast. Considering how quickly things can change in the metaverse, a week in NFTs might as well be a month IRL.

Don’t get us wrong — the more people onboarded into the space, the merrier. But because of the constant influx of great art and ideas, it’s becoming increasingly difficult to keep up with all the news, launches, and general happenings.

Well, you can put the days of endless Twitter and Discord scrolling behind you, as we put together a weekly list of upcoming NFT drops you definitely don’t want to miss. Here’s what to look out for this week.

Seven Virtues

All seven of Zhuk’s reimagined virtues. Source: Zhuk

Who: Zhuk

What: One ten-edition piece, seven open edition pieces

When: September 26 @ 6:30 p.m. ET

Where: Nifty Gateway

Why: Best known for her figurative pieces that breathe contemporary life into classical themes and concepts, Zhuk is at it again with her upcoming Seven Virtues collection. Modeled after the seven named virtues found in the ethics of ancient Greek philosophy, Zhuk has given these abstract concepts figure and form via her hand and brush.

Great Pain

Who: Arya Mularuma (Gogoperen)

What: Collection mechanics TBA

When: September 28 @ 8:00 p.m. ET

Where: MakersPlace

Why: Also known in the NFT space as Gogoporen, Mularama’s work is heavily inspired by 90s pop culture, video games, and film. Despite these relatively light sources of inspiration, Mularama’s work often carries with it a certain heaviness. Amidst the levity of the characters and worlds he creates for his art are allusions to mental illness. His latest collection, Great Pain, is no different. Set to launch IRL at Crypto Art Week Asia in Singapore later this week, one lucky collector will get the chance to go home with a physical print from this collection upon winning the auction for its NFT counterpart.

Fear & Delight

The Opera of Horrors. Source: Mojokoworld

Who: Steve Lawler (Mojokoworld)

What: Collection mechanics TBA

When: September 28 @ 8:00 p.m. ET

Where: MakersPlace


Who: The production team behind the upcoming Web3 film I’M NEW HERE

What: 10,000 NFT avatars

When: Public mint to go live on September 28, time TBA


Why: Indie documentary filmmaker has his sights set on a new frontier: Web3. Following the success of his last film Dina on the 2023 film festival circuit, Dan Sickles has been hard at work trying to shed an honest light on the nascent crypto art movement. With his latest film, I’m New Here, Sickles has gathered some of the biggest artists and voices in the NFT space to expose an entirely new audience to this vibrant, eclectic scene that seemingly appeared overnight. Through the We’re New Here collection, Sickles and the rest of the film’s production team hope to secure additional funding to ensure the project’s success. Holders of these NFTs are also promised access to curated events IRL and on the metaverse.


Who: Patric Ortmann (MOTIONSICKNΞSS)

What: Four unique occult places

When: September 29 @ 6:30 p.m. ET

Where: MakersPlace

Why: Following a decades-long career providing visuals and motion graphics for clients like Audi and The Weeknd, German artist Patric Ortmann — aka MotionSickness — has recently set out on an independent path as an artist. His latest work, Occult PLACES (stylized as „O∞ULT PLACES“ on MakersPlace), shows Ortmann at his best, particularly highlighting his masterful use of space.

Bowie On The Blockchain

A teaser of what FEWOCiOUS prepared for this collection. Source: FEWOCiOUS

Who: FEWOCiOUS, Nadya Tolokonnikova of Pussy Riot, Defaced, Glam Beckett, and more

What: Works from nine artists celebrating David Bowie’s life and legacy

When: September 30, time TBA

Where: OpenSea

Top Robotics Jobs To Apply For In March 2023

A few decades back, robotics was science fiction and anything related to robotics, including job opportunities were seen as a thing of the future. Now, the future is here by changing robotic science fiction into science fact. The robotic industry is opening 

Top robotic jobs in March 2023 Microsoft Robotic Process Automation Application Developer at Accenture

Location: Bengaluru Role and responsibility: As an application developer, the job demands the candidate to have 4-6 years of experience in Robotic Process Automation with automation anywhere. The candidate should have the ability to understand business processes and create process flow diagrams, and experience interaction with client business, IT, operations and Architecture teams on and offshore. He/she should be capable to build and work with developers and testers to implement automation solutions independently across multiple clients. The job demands experience in C and/or Java, HTML, CSS Microsoft Technology VB NET, Windows, Internet Explorer, SQL Server, etc. Apply for the job 

DevOps Engineering, SAP Intelligent Robotic Process Automation at SAP SE

Location: Bengaluru, Hyderabad SAP SE is a German multinational software corporation that develops enterprise software to manage business operations and customer relations. Founded in 1972 as an enterprise resource planning (ERP) software, the company has evolved to become a market leader in end-to-end enterprise application software, database, analytics, intelligent technologies, and experience management. As an innovative cloud company with over 200 million users worldwide, SAP enables businesses of all sizes and in all industries to operate profitability, adapt continuously, and realize strategic goals. Role and responsibility: As a DevOps Engineers, the candidate will support developers on work related to Git, GitHub, JaaS. He/she will also engage with developers, QA program management to prepare, plan and help generate the compilation/build time. The candidate will automate the storage of logs and other artifacts used for building the reason for audit reasons. He/She should also improve management of build machines, dashboards, drop zone, install windows updates, free disk space, recycle resources, handle IP/security scans and improve communication around important phases of the release process. Apply for the job 

Developer Robotics & Automation at ITC Infotech

Location: Bengaluru ITC Infotech is a global technology solution and services leader providing business-friendly solutions that enable future-readiness for clients. Founded in 2000, the company seamlessly brings together digital expertise, strong industry-specific alliances and deep domain expertise from ITC Group business. ITC Infotech solutions and services are focused on banking & financial services, healthcare, manufacturing, customer goods, travel and hospitality.  Role and responsibility: The role, RPA developer is within the ITC Infotech’s application development group of Rapid Response Team at UnitedHealth Company. The job demands an experience of 3 to 5 years in .NET, REST API, UI PATHor SQL. The candidate will have to report to Project Lead/ Manager Application Developer on multiple projects. Apply for the job 

RPA Engineering-Robotic Process Automation at Amazon

Location: Hyderabad  Role and responsibility: The Robotic Process Automation (RPA) developer will be responsible for developing complex automation solutions using a variety of methods in support of automation initiatives. He/she should collaborate with the end-users as well as team members in the design, development, testing and maintenance of automation projects across the organization. Apply for the job 

Automation Engineer at Mindtree

Location: Bengaluru Mindtree Ltd is an International Technology consulting and implementation company that delivers business solutions through global software development. Founded in 1999, the company is structured into four industry verticals namely retail, CPG and Manufacturing (RCM), banking, Financial Services and Insurance (BFSI), technology, media and service (TMS) and travel and hospitality. Mindtree offers services in the areas of agile, analytics and information management, application development and maintenance, business process management, etc. Role and responsibility: As an automation engineer, the candidate should be able to understand the process of automation, and automation requirements and convert it to scripting. He/she should provide timely and accurate assistance for automation in the assigned business areas. The candidate should be very good in scripting and have storing understanding of solutions using scripting and underlying IT services with an innovative mindset.

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