Arkose Labs Fresher Job Opportunity | Data Scientist Position | Pune

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Currently, Arkose Labs has job openings for the role of  Data Scientist , welcoming freshers (0 to 3 Years) to apply. Explore the Arkose Labs job requirements, detailed job description, and additional information below. If you meet the criteria and are interested, apply at your earliest convenience to enhance your chances of receiving an interview call from Arkose Labs

Name of the Company: Arkose Labs

Website URL: www.arkoselabs.com

Required Education: Bachelors, Masters or PhD

Job Profile: Data Scientist 

Experience: Freshers (0 to 3 Years)

Eligible Batch: Not available

Job Location: Pune

Interview Location: Pune

Salary / CTC: Disclosed During HR Interview

Number Of Job Openings: Not available

Application Deadline: Not available

Job Opening ID: NA

Qualifications Required for a Arkose Labs Job Opportunity:

  • Educational Qualifications is Bachelors, Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras
  • Solid knowledge of classical and latest computer vision models including thorough knowledge of models like YOLO, FasterRCNN etc as well as transformer based models like ViT, BLIP etc.
  • Knowledge in machine learning, deep learning, and Computer Vision
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
  • Familiarity with data processing tools, such as Pandas and NumPy
  • Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges
  • Passion for learning and staying up-to-date with the latest advancements in machine learning, and Computer Vision
  • Self-motivated, detail-oriented, and able to work through ambiguity
  • Desire to take ownership of projects and contribute to a positive, collaborative, and inclusive team culture
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Responsibilities of the Data Scientist Position:

  • Document and present project progress, findings, and insights to both technical and non-technical stakeholders
  • Conduct research on cutting-edge techniques and tools in machine learning and Computer Vision
  • Participate in the evaluation of model performance and contribute to improvements ensuring accuracy and efficiency
  • Assist in the development, implementation, and optimization of machine learning models and algorithms for Object Detection and Computer Vision applications
  • Collaborate with cross-functional teams to understand project requirements and contribute to the development of solutions
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How to apply for the Arkose Labs Data Scientist Role:

  • Select the “Apply Now” button provided below
  • You will be directed to the Arkose Labs recruitment site
  • Kindly wait for the page to fully load
  • Log in or sign up on the Arkose Labs recruitment site, and fill the necessary details
  • Finally, submit your application
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How to Increase Your Chances of Getting an Interview Call for Arkose Labs Data Scientist Position:

  • Apply as soon as you can
  • Take your time while applying and ensure accurate submission of all your details
  • Make sure your resume is current and complete

Arkose Labs Hiring Process:

  • Aptitude Test: Shortlisted candidates may be required to take an aptitude test, assessing their quantitative, logical, and verbal abilities
  • Technical Interview: Successful candidates in the aptitude test may proceed to a technical interview where their technical skills, knowledge, and problem-solving abilities are evaluated
  • HR Interview: Following the technical interview, candidates will face a HR interview to assess their communication skills, interpersonal qualities, and cultural fit within the organization
  • Offer Letter: Those who successfully clear all the rounds will receive a job offer from Arkose Labs
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Additional Notes From Arkose Labs:

  • Not available

If you have questions or encounter any issues during the Arkose Labs application process, please comment here. We’ll help you out as soon as we can!

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