Responsibilities of a Data Scientist Job Opening at Arkose Labs:

• 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.
• 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.
• Document and present project progress, findings, and insights to both technical and non-technical stakeholders.

Preferred Skills:

• 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.
• Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• 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.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• 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

Why do top tech professionals choose Arkose Labs?

• Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients.
• Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment.
• Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events.
• Ideal Size: We’re structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas.

Benefits:

• Competitive salary + Equity
• Beautiful office space with many perks
• Robust benefits package
• Provident Fund
• Accident Insurance
• Flexible working hours and work from home days to support personal well-being and mental health