Simpplr

Data Scientist

Gurugram, India
Python Machine Learning Deep Learning API Docker AWS
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Description

Who We Are

Simpplr delivers exceptional AI-powered employee experiences at scale. It is the only platform that unifies employee engagement, enablement, and self-service to provide every employee with a seamless and personalized experience so they can do their best work from anywhere. Organizations use our forward-looking, adaptable products to deliver personalized experiences that inspire and engage their employees. Wherever people work, Simpplr enables them to flourish.

Trusted by more than 700+ leading brands, including Penske, Snowflake, Moderna, Eurostar, and AAA, our customers are achieving measurable improvements in employee engagement, productivity, and accelerated business performance.

Simpplr is headquartered in Silicon Valley, CA with offices in the UK, Canada, and India, and is backed by Sapphire Ventures, Norwest Venture Partners, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com.

About the Role


Join our forward-thinking team as a Data Scientist where you will address real-world challenges through the lens of AI innovation, specifically focusing on neural search, personalization, content recommendation, and pioneering work with custom LLM fine-tuning. Work in an environment that fosters collaboration among highly skilled professionals to build next-generation products that significantly impact our clients' operational effectiveness.


Key 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.


What We’re Looking For

  • 2-3 years of experience in crafting and implementing AI models, with a particular interest in applications within custom LLM fine-tuning 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.
  • Openness to candidates with a robust background in backend development who have delved into AI, especially those who have engaged in LLM fine-tuning and neural search. 
  • Knowledge in developing analytical web applications and working with cloud platforms, capable of managing large data sets and complex AI models

Technical skill sets:.

  • Strong coding skills
  • Understanding of basic Machine Learning, Deep Learning, and Natural Language Processing algorithms
  • Experience in developing applications using LLMs, LLMs Evaluation and Knowledge Graphs
  • Comfort with working in multiple tech stacks
  • Experience in API Development, Docker and AWS Services

Nice to have:

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

Our Ideal Candidate

  • We are in search of individuals who are not merely experienced but deeply passionate about unearthing new challenges and inquiries in the realm of AI. We value creativity, positivity, work ethic and the pursuit of answering intricate questions with methodical accuracy. Multiple positions at different seniority levels are available.



See what our employees say about working at Simpplr: Glassdoor Reviews

 

Simpplr’s Hub-Hybrid-Remote Model:

At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want.

  • 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. 
 Simpplr
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Collaboration Enterprise Software Human Resources Information Technology Software

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Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
  • The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
  • Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
  • We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
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  • From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
  • We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
  • If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
  • EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.

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