Experience:

• 3 to 5 years of related experience as an MLE
• Proven hands-on experience in creating Gen AI-based systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and operationalizing Agentic AI in production

Qualification:

• Solid computer science foundation (data structures, algorithms)
• Expertise in Python and SQL

Role Focus:

• Independently develop and implement machine learning models and Generative AI solutions
• Drive the end-to-end productionization of AI agents
• Design and implement advanced LLMOps frameworks
• Assist in refining and optimizing GenAI pipelines and existing classical ML models
• Collaborating with cross-functional teams to translate complex business needs into technical solutions

Nice to have:

• Expertise with cloud services such as AWS, GCP, or Azure
• Familiarity with systems programming or distributed systems
• A demonstrated interest in innovation, such as participation in tech blogs, external papers, or industry knowledge-sharing

More skills:

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), PyTorch/TensorFlow

Other:

• Comprehensive benefits including various health plans, time off plans, parental leave options, retirement options, education reimbursement, and in-office perks
• Hybrid working model
• Equal employment opportunities for all individuals
• Commitment to providing reasonable support for candidates who are differently abled or require accommodations