Data Scientist

Summary

Join Simpplr's forward-thinking team as a Data Scientist, focusing on AI innovation in Enterprise Search, Personalization, and Content Recommendation. You will develop scalable AI solutions, prototype and deploy effective AI models, and collaborate with cross-disciplinary teams. The ideal candidate has 1-3 years of experience in AI model implementation, proficiency in Python, and familiarity with AI development frameworks. A Bachelor's degree from a Tier-1 college is required. Simpplr offers a Hub-Hybrid-Remote work model, providing flexibility based on the role.

Requirements

• 1-3 years of experience in crafting and implementing AI models, with a particular interest in applications within Enterprise Search and Content Personalization
• Solid grounding in AI technologies, with proficiency in Python and familiarity with AI development frameworks
• Interest or experience in ML-Ops, emphasizing the journey from concept to production scalability of ML models
• Openness to candidates with a robust background in backend development who have delved into AI, especially those who have engaged in Enterprise Search, Developing learning to rank models, Agentic Workflows and LLM fine-tuning
• Knowledge in developing analytical applications and working with cloud platforms, capable of managing large data sets and complex AI models
• Strong coding skills
• Understanding basics of Machine Learning, Deep Learning, and Natural Language Processing algorithms
• Experience in working with data annotation tools and building ML evaluation pipelines
• Comfort with working in multiple tech stacks
• Experience in API Development, Docker and AWS Services
• Bachelor's degree from a Tier-1 college (IITs, NITs, BITS, or equivalent preferred)

Responsibilities

• Innovate and develop scalable solutions leveraging AI technologies to process and analyze vast amounts of data efficiently
• Quickly prototype, test, and deploy effective AI solutions, managing project timelines and deliverables while incorporating the latest advancements in AI research
• Engage with cross-disciplinary teams to identify and implement AI-driven enhancements for user experiences, leading the charge from ideation to deployment

Preferred Qualifications

Experience in ML research, focusing on LLMs, Information Retrieval Systems, Reinforcement Learning, Knowledge Graphs, Agentic Workflows, Retrieval-Augmented Generation (RAG), Recommender Systems, Scaling, Monitoring, and Deploying LLMs

Benefits

• Simpplr’s Hub-Hybrid-Remote Model
• Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time
• Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis
• Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met