Experience: 4.00 + years

Salary: INR 3500000-4500000 / year (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid (Bengaluru)

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: SciSpace)

(*Note: This is a requirement for one of Uplers client - SciSpace)

What do you need for this opportunity

Must have skills required:

start-up, Python, Agentic applications, Kafka, Airflow, Celery, GenAI, Generative AI, rag, LLM, Langgraphs, LangGraph

SciSpace is Looking for:

SciSpace (Formerly Typeset) is the world's largest platform for researchers to create,

collaborate and publish their research. Used by millions of researchers across 91

countries from organizations such as MIT, Stanford, CERN, NASA, and the like,

including Nobel Laureates. Other solutions provided by SciSpace cater to various

scholarly content creation(B2C), publication (B2B publishers), and dissemination (B2B

universities) needs. (Featured in Forbes, Nasdaq, and Entrepreneur magazine.

SciSpace is a series-funded startup. We have raised 4.5 million USD to date, with the

most recent fundraise in October 2021 from US-based VC firms. We have expanded

our product portfolio with the launch of SciSpace - the world's largest social platform

for Research - hosting 200M+ publications and 50M+ profiles. Think of it like

medium.com for hosting and discovering academic papers. We are looking for insatiably

curious, always learning Senior Research Scientist. You could get a chance to work on

the most important and challenging problems at scale.

As a software engineer dedicated to developing Gen AI based ML systems, you will be

involved in deployment of ML models, building ML systems and pipelines to ensure

reliable systems are deployed at scale to provide value for researchers. This is an

engineering dominated role but the candidate should have basic knowledge of ML

especially NLP Transformer based (LLM) models to be able to handle the systems

better.

Responsibilities:

ML System Development: Design, develop, and maintain scalable and efficient

machine learning systems, including writing ML services and APIs.

Model Deployment: Implement and manage the deployment of machine learning

models, including transformer based LLMs, into production environments,

ensuring reliability and scalability.

Infrastructure Management: Collaborate with infrastructure teams to optimize and

manage the underlying systems supporting machine learning workflows.

Data Pipeline Creation: Create robust and efficient data pipelines for collecting,

processing, and preparing datasets for machine learning models.

Collaboration: Work closely with data scientists, researchers, and

cross-functional teams to integrate ML solutions into existing software

infrastructure.

Performance Optimization: Continuously optimize and improve the performance

of machine learning algorithms and systems.

Documentation: Develop and maintain documentation for machine learning

systems, APIs, and data pipelines to ensure clarity and ease of use for team

members.

Our ideal candidates would:

4+ years of experience including working on designing multi-component systems
Strong grasp of one high-level language like Python.
General awareness of SQL and database design concepts
Solid understanding of testing fundamentals
Strong communication skills
should have prior experience in managing and executing technology products.
Decent understanding of various Gen AI based ML approaches
Experience in building agentic architectures using langgraph or similar libraries

Bonus:

Prior experience working with high-volume, always-available web-applications
Experience working with cloud
Knowledge of cloud platforms such as AWS, GCP, or Azure.
Experience with deploying small and big open source LLMs in production

environments using containerization tools like Docker

Experience in Distributed systems.
Experience working with Start-up is a plus point.

How to apply for this opportunity

Step 1: Click On Apply! And Register or Login on our portal.
Step 2: Complete the Screening Form & Upload updated Resume
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

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