Data Scientist for AI Model Development

4 weeks ago


Anywhere in IndiaMultiple Locations PromptCloud Full time

Job Description

PromptCloud is a pioneering Data as a Service company that empowers businesses to harness the power of data. Our innovative technology fuels some of the most captivating big data projects worldwide, shaping the imminent data-driven future by solving its fundamental and toughest challenges.

We strive to create a unique and thriving workplace where work is designed around people. At PromptCloud, we value collaboration, flexibility, and continuous learning, fostering a culture of growth and development.

About the Role

We are seeking an experienced Data Scientist for AI Model Development to join our team. As a key member of our product team, you will be responsible for designing, developing, and deploying highly scalable machine learning models using deep learning frameworks like TensorFlow or PyTorch. You will work closely with cross-functional teams to implement new products and features, driving all ML projects from concept to deployment.

Responsibilities

  • Develop high-quality machine learning models leveraging deep learning techniques and rules-based models.
  • Work closely with product teams to design and develop new products and features using machine learning.
  • Deploy models and experience in cloud environments.
  • Own and drive all ML projects, ensuring timely delivery and quality.
  • Inculcate ML culture within the organization.

Requirements

  • 1-4 years of relevant work experience in machine learning engineering.
  • Strong programming skills in Python.
  • Familiarity with scripting languages and Linux operating systems.
  • Experience with TensorFlow or PyTorch and good understanding of Machine Learning algorithms (Regression algorithms, Decision Trees), Distributions, and Deep Learning algorithms.

Preferred Skills

  • Good understanding of data structures & algorithms.
  • Good problem-solving skills.
  • Experience with NLP algorithm implementation and ability to modify standard algorithms.
  • Familiarity with database queries and data analysis processes (SQL, Python).
  • Knowledge of natural language processing, information extraction, and text mining algorithms, tech stacks, and experience with datasets - benchmark and real-world.

Benefits

  • A competitive salary range of $120,000-$180,000 per annum.
  • A one-time home office setup allowance.

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