Epicareer Might not Working Properly
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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Data & AI Technical Presales Consultant

Salary undisclosed
Checking job availability...
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Job Description

We are seeking a highly skilled and experienced Data & AI Technical Presales Consultant to join our dynamic team. As a Technical Presales Consultant, you will play a pivotal role in driving business growth by understanding customer needs, crafting compelling technical solutions, and delivering impactful presentations.

Responsibilities:
Technical Expertise:
Develop deep technical expertise in data engineering, machine learning, and AI technologies.
Stay up-to-date with industry trends and emerging technologies.
Customer Engagement:
Engage with clients to understand their business challenges and requirements.
Conduct technical assessments and needs analysis.
Collaborate with sales teams to identify and qualify opportunities.
Solution Design:
Design and architect innovative data and AI solutions tailored to customer needs.
Develop proof-of-concepts and technical demonstrations to showcase the value of our solutions.
Collaborate with product teams to refine product offerings based on customer feedback.
Technical Presentations:Deliver engaging and informative technical presentations to a variety of audiences, including technical and non-technical stakeholders.
Effectively communicate complex technical concepts in a clear and concise manner.
Proposal Development:
Develop comprehensive technical proposals, including solution architecture, cost estimates, and implementation timelines.
Collaborate with sales teams to ensure accurate and competitive proposals.
Post-Sales Support:
Provide technical support during the sales process, including answering technical questions and resolving customer issues.
Collaborate with the delivery team to ensure a smooth transition from presales to post- sales.

Qualifications:
 Strong technical background in data engineering, machine learning, and AI.
 Excellent communication and presentation skills.
 Ability to understand complex business problems and translate them into technical solutions.
 Experience with cloud platforms (AWS, Azure, GCP) and data engineering tools (e.g., Spark, Kafka, Airflow).
 Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and AI techniques (e.g., NLP, computer vision).
 Strong problem-solving and analytical skills.
 Ability to work independently and as part of a team.

 Preferred Qualifications:
 Certifications in cloud platforms, machine learning, or data engineering.
 Experience with data visualization tools (e.g., Tableau, Power BI).
 A strong understanding of industry standards and best practices.

Job Types: Full-time, Permanent

Experience:

  • Data engineering: 1 year (Preferred)
  • Machine learning: 1 year (Preferred)
  • cloud platforms (AWS, Azure, GCP): 1 year (Preferred)
  • Artificial Intelligence: 1 year (Preferred)
  • data engineering tools (e.g., Spark, Kafka, Airflow).: 1 year (Preferred)

Work Location: In person