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Machine Learning Engineer

3 months ago


Delhi, Delhi, India Ionio Full time

We are looking for a skilled Machine Learning Engineer to be part of our team. You will collaborate on projects, develop POCs, and write insightful technical blogs for our platforms.

Joining us means embracing a fully remote role. Initially, it's a 3-month internship with the potential for extension or a full-time position based on your performance. The internship pays ₹25,000 per month.

This opportunity offers a thrilling experience in a lively setting where you can broaden your expertise in AI development.

This job is entirely remote, giving you the flexibility to manage your own schedule. We don't believe in micromanaging, we trust you to deliver.

Expect to gain valuable hands-on experience on the job. Even if you don't meet all the criteria, as long as you are eager to learn and adapt, this will be a rewarding journey for you.

Responsibilities:
  • Learn and implement techniques like LoRA, FineTuning, Transfer Learning, etc., in our projects.
  • Stay updated by reading relevant papers and grasping advanced AI concepts.
  • Develop POCs and collaborate on AI projects for clients under the guidance of senior team members.
  • Record your progress through technical articles simplifying complex AI topics.
Qualifications:
  • Solid experience as a machine learning engineer, especially focusing on NLP.
  • Proven programming skills with expertise in Python solutions.
  • Proficient in common DS libraries such as NumPy, pandas, and scikit-learn, and ML frameworks like PyTorch, TensorFlow, and Keras.
  • Familiarity with text embeddings and transformer models.
  • Degrees are not mandatory; we value skills and eagerness to learn.
  • Excellent written and verbal communication skills.
  • Strong research skills and the ability to validate technical content.
  • Comfortable with reading and understanding AI papers, if necessary.

Bonus Experience in LLMs and related tools:
Agents, GPT, Langchain, HuggingFace, and more.

Knowledge of deep learning techniques, reinforcement learning, and generative models is a plus.

Interview Process