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Hybrid Machine Learning Engineer Machine Learning Engineer

Simplismart  ·  nan, · Hybrid

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About the job

About Us:

Simplismart empowers businesses to effortlessly develop and deploy AI systems, eliminating the need for coding. Our platform accelerates model deployment, saving time and costs.


Job Roles and Responsibilities:

  • Develop and deploy machine learning models using Python
  • Collaborate with cross-functional teams to understand business requirements and design appropriate solutions
  • Train and monitor ML models on diverse datasets
  • Contribute to the development of a scalable AI system without the need for coding
  • Work on data engineering tasks to support the AI system development


Other Details:

  • Collaborate effectively with cross-functional teams to drive innovation and problem-solving
  • Embrace a culture of continuous learning and adaptability to new technologies
  • Demonstrate strong communication skills to explain complex technical concepts to non-technical stakeholders
  • Show a proactive attitude towards taking ownership of projects and delivering high-quality results
  • Uphold a strong work ethic and attention to detail in a fast-paced, dynamic environment
  • At least 3 years of experience as an ML Engineer or similar designation
  • Must Have worked with GenAI models (Stable Diffusion; Whisper; LLMs; etc)
  • Must Have worked in C++ or CUDA or Python


Hiring Process:

R1 Profile shortlisting

R2 Assignment

R3 Tech interview

R4 Tech interview

R5 Founder/ Leader interview

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