Advanced Machine Learning Professional

10 hours ago


Nashik, Maharashtra, India beBeeMachineLearning Full time ₹ 90,00,000 - ₹ 1,20,00,000

We're seeking an ambitious ML professional to drive innovation in our fast-growing team.

This is a full-time opportunity for someone who thrives in a dynamic environment and is passionate about solving real-world problems using advanced ML techniques.

Key Responsibilities:

Develop and implement cutting-edge solutions using Large Language Models (LLMs)

Design 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

Required Skills and Qualifications:

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

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

Benefits:

We offer a competitive compensation package and opportunities for growth and development

We prioritize work-life balance and provide flexible working arrangements

We foster a collaborative and inclusive team environment

Others:

We encourage innovation and creativity in all aspects of our work

We invest in ongoing education and training to stay ahead of industry trends

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



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