Machine Learning Engineer

3 weeks ago

India WorkableAI Full time

We're Hiring: Machine Learning Engineer (Internship, Remote)

We are looking for a committed and enthusiastic Machine Learning Engineer to join our fast-growing team. This is a full-time opportunity (40 hours/week) for someone who thrives in a dynamic environment and is passionate about solving real-world problems using advanced ML techniques.

Key Responsibilities:

Design and implement solutions using Large Language Models (LLMs)

Develop and fine-tune prompt engineering strategies for performance optimization

Work on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systems

Apply a wide range of ML techniques including classification, clustering, embeddings, and optimization

Collaborate closely with backend and AI engineering teams to integrate ML solutions into production systems

Contribute to experimentation, model evaluation, and continuous improvement cycles

What We're Looking For:

Strong hands-on experience with LLMs (OpenAI, HuggingFace, etc.)

Proficiency in prompt engineering, few-shot learning, and RAG frameworks

Solid understanding of machine learning fundamentals and applied techniques

Familiarity with tools like LangChain, Pinecone, Weaviate, or similar

Ability to work independently and manage time effectively in a remote setting

Eagerness to learn, adapt, and contribute proactively in a fast-paced environment

What Matters to Us:

We value commitment and curiosity over formal degrees

We appreciate individuals who take ownership and bring a solutions-first mindset

We are building a culture of speed, experimentation, and continuous learning

Position Details:

Type: Full-Time Intern (45-50 hours/week)

Location: Remote (Gurugram residents preferred)

PPO: After 3 months of completion a full time offer will be rolled out depending on the performance

Compensation: Competitive, based on experience and capability

Start Date: Immediate

If you're excited to work on cutting-edge AI systems and grow with a team that's moving fast, we'd love to hear from you.

Please send your resume, portfolio (if available), and a short note on why you're interested to or

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