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Learneo Hiring Senior AI Research Engineer | Exciting Vacancy

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Learneo Recruitment Off Campus 2025: Learneo a leading company, is set to conduct an Off Campus Drive in 2025, offering opportunities to join as Senior AI Research Engineer. A student with having bachelor’s degree in various disciplines can apply for the Learneo off campus drive . Interested and eligible candidates can read more details below.

About Learneo:

Learneo is a platform of learning and productivity businesses, focused on creating tools and resources to help people learn and achieve their goals. It’s built around the idea of a “builder-driven” platform, meaning it supports and empowers individuals and teams to develop and scale new learning and productivity solutions.

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Learneo Off Campus 2025:

Company Name Learneo 
Post Name Senior AI Research Engineer
Expected Salary up to ₹9 LPA*
Job Location Work From Home
JobType 2-4 years
Website  Learneo.com
Last date to apply Apply ASAP

*The salary/stipend (if stated) here is an estimation and has been collected from various sources such as Glassdoor, Ambitionbox, Quora etc. We do not guarantee the accuracy of the stated amount.

Learneo Career 2025 Responsibilities:

  • Design and build solutions for natural language technologies, including paraphrasing, grammar checking, proofreading, summarization, and translation.
  • Survey, choose, and implement methods from natural language processing and machine learning to solve problems of interest.
  • Optimize solutions by modifying training recipes, performing extensive experiments, analyzing results, and iterating rapidly.
  • Develop internal tools to facilitate AI component development that are easily usable and extendable by others.
  • Conduct data analysis to identify ways to improve solutions and diagnose issues.
  • Contribute ideas to other AI teams working on a range of problems in artificial intelligence.
  • Read literature in natural language processing and machine learning, understand strengths and weaknesses of novel methods, and identify potentially useful methods for problems of interest

Learneo Recruitment Eligibility Criteria:

  • Undergraduate or Master’s degree in computer science, artificial intelligence, or a related field, or equivalent experience.
  • 2-4 years of hands-on experience in natural language processing and machine learning from prior work experience, course projects, or independent work

Preferred skill:

  • Strong knowledge of Python and deep learning toolkits (PyTorch, HuggingFace, etc.).
  • Experience training neural network models (language models, sequence-to-sequence models, classifiers, etc.) for natural language processing.
  • Passion for artificial intelligence, natural language processing, and machine learning.
  • Strong command of the English language.
  • Preferred: knowledge of one or more of the following languages: German, French, Dutch, Spanish, Portuguese

Click here for HR Interview Questions and Answers

Learneo Recruitment Selection Process:

The Learneo selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

  1. Online Application: The process begins with candidates submitting their applications through Barclays official careers website. Providing accurate and comprehensive information on your resume and application is essential.
  2. Resume Screening: The Company recruitment team reviews all incoming applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
  3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities. These assessments can cover a wide range of topics, including coding, problem-solving, and domain-specific knowledge.
  4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews. These interviews assess a candidate’s technical expertise, coding skills, problem-solving capabilities
  5. Offer: If a candidate successfully navigates all interview stages and reference checks, they will receive a formal job offer. The offer will include details such as compensation, benefits, and other terms of employment.
  6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
  7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the Barclays onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the Barclays selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

 

Why Join Learneo?

  • Competitive salary, RSUs & annual bonus
  • Medical coverage
  • Life and accidental insurance
  • Vacation & leaves of absence (menstrual, flexible, special, and more!)
  • Developmental opportunities through education & developmental reimbursements & professional workshops
  • Maternity & parental leave
  • Hybrid & remote model with flexible working hours
  • On-site & remote company events throughout the year
  • Tech & WFH stipends & new hire allowances
  • Employee referral program
  • Premium access to QuillBot

How to Apply for Learneo Recruitment 2025?

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, create an account.
  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section.

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Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.

<p>The post Learneo Hiring Senior AI Research Engineer | Exciting Vacancy first appeared on Job4freshers.</p>

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