LILT Hiring Senior ML Engineer | Startup Jobs in India 2024

LILT Hiring Senior ML Engineer

About Company

LILT Hiring Senior ML Engineer. LILT is the top artificial intelligence solution for enterprise translations. Our stack, which includes our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback, enables multinational enterprises to implement a real AI translation strategy that focuses on business results rather than outputs. LILT enables innovative, category-defining firms such as Intel, ASICS, WalkMe, and Canva to provide multilingual, digital customer experiences at scale utilizing AI technology.

While our fundamental AI technology has similarities to ChatGPT and Google Translate, it is what we do with it that truly distinguishes LILT. Our unique Contextual AI Engine goes beyond simple translations, analyzing the nuances of our customers’ content and target audience to provide hyper-accurate, business-focused outcomes. Our connector-first strategy connects smoothly with our customers’ existing operations, and our human-adapted feedback loop assures continual improvement, making LILT a dynamic AI partner for your worldwide goals.

Roles & Responsibilities

  • Create, maintain, and optimize a CI/CD pipeline and infrastructure for large language model and vector database deployments.
  • Collaborate with the Research and Engineering teams to design infrastructure for Lilt’s production and on-premise environments.
  • Design and deploy architecture to efficiently productize new AI technologies while ensuring high availability and dependability.
  • Identify and assist the delivery of multi-team projects on specific timescales.
  • Provide constructive, effective technical and organizational feedback on work products and communications.
  • Collaborate with Product to prioritize infrastructure enhancements and technical debt versus business requirements.

Technical skills:

  • Experience using containerized CI/CD workflows
  • Experience in the production deployment and optimization of large neural networks on accelerator hardware (GPUs).
  • Experience using distributed LLM training infrastructures
  • Experience using containerized CI/CD workflows Experience in production deployment and optimization.
  • Excellent oral and written communication abilities.
  • Passion for developing solutions that necessitate a focus on systems thinking.
  • Proven ability to collect, organize, and synthesize substantial and diverse information.
  • A strong desire to master the product you make and to comprehend the client who utilizes it.
  • Experience working with other engineers and researchers on large-scale machine learning systems.

PREFERED CANDIDATES:

  • The successful candidate will have a self-motivated, get-it-done attitude; the ability to think critically; enjoy working with teams spread globally and across cultures; a desire to learn in new areas; and the discipline to pay attention to deadlines, details and quality.
  • Good communication and interpersonal skills.

Qualifications

Bachelor’s Degree, preferably in Software Engineering or Computer Science, from a reputable college.

Experience

1+ years of experience working on a machine learning product.

Selection Process
Online Test:

The online test for Vahan includes questions about different types of questions in sections like  Quantitative aptitude exam, Reasoning ability exam, and Verbal Ability ability exam or English grammar. The duration of the test is about 60 minutes. Each section of the test Quantitative Ability, Reasoning, and Verbal Ability have seperate time allocated to them and all questions of that section need to be completed in that period. The candidate can attempt questions in any order but cannot attempt among the other sections which means that the candidate has to finish one section (like reasoning) first and then he/she can move to other sections.

Technical Round:

The candidate who clears the online test is eligible for the Technical round. This technical round is about checking your basic or advanced concepts and how good you are technically in the related field. Questions will be from different subjects. candidates should be prepared with Data structures and Algorithms, DBMS, Operating Systems, Networking, OOP concepts, and a programming language. Students from branches other than IT should prepare basic concepts of their branch. Some puzzle questions might be asked in some of the interviews.

HR Round:

The candidate who clears the online test is eligible for the Technical round. This technical round is about checking your basic or advanced concepts and how good you are technically in the related field. Questions will be from different subjects. candidates should be prepared with Data structures and Algorithms, DBMS, Operating Systems, Networking, OOP concepts, and a programming language. Students from branches other than IT should prepare basic concepts of their branch. Some puzzle questions might be asked in some of the interviews.

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