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indeed

AI/ML Engineer (0-1 yrs of experience)

Cyncly
Karnataka, IND
Full-time
Hybrid
Discovered 1 weeks ago
Artificial intelligence and machine learningComputer visionPythonTensorFlowPyTorchOpenCV
Free

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Key skills for this role

Artificial intelligence and machine learningComputer visionPython
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Work arrangement

  • The role is based in Bangalore, India, with a hybrid work arrangement.
  • The position is permanent and full-time.

About Cyncly

Cyncly provides software solutions for businesses that design, sell, manage, and manufacture customizable products and spaces.

Its AI Center of Innovation develops AI models and functionality for products used by customers worldwide.

About the role

The AI/ML Engineer will design and implement AI and computer vision solutions.

The role includes deploying model-based APIs, researching AI solutions, and supporting internal and customer-facing applications.

Responsibilities

  • Design data solutions and build REST APIs that meet business, technical, and user requirements.
  • Design vector database schemas and write efficient, scalable queries.
  • Maintain code quality, coding standards, and technical documentation.
  • Create proof-of-concept implementations for business needs.
  • Build Azure DevOps pipelines for continuous integration and delivery.
  • Address cybersecurity risks and deploy applications in secure, scalable cloud environments.
  • Troubleshoot issues, identify root causes, and implement lasting solutions.
  • Collaborate with data scientists and data engineers on enterprise system design.
  • Maintain unit, integration, and automated test environments.
  • Provide guidance and mentoring to interns, freshers, and other AI/ML engineers.

Required experience and qualifications

  • Bachelor’s or master’s degree in computer science, MCA, AI, or a related field.
  • 0–1 year of experience in AI/ML.
  • Good knowledge of Python and SQL.
  • Exposure to TensorFlow, PyTorch, OpenCV, Pillow, or scikit-image.
  • Familiarity with deep learning, generative AI, and computer vision.
  • Good academic record.
  • Strong analytical, problem-solving, decision-making, technical, and communication skills.
  • Ability to work effectively with multifunctional teams.

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