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    Job · 11956705

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    Forward Deployed Engineer - AI

    Uplers · Bengaluru · onsite · Posted 66d ago

    Not disclosed1–3 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Experience: 1.00 + years

    Salary: INR 1000000-1500000 / year (based on experience)

    Expected Notice Period: 30 Days

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

    Opportunity Type: Office ()

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

    (*Note: This is a requirement for one of Uplers client - Skit.ai)

    What do you need for this opportunity

    Must have skills required:

    ASR, STT, TSS, voice, Python

    Skit.ai is Looking for:

    Forward Deployed AI Engineer

    About us:

    Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. Skit.ai's Collection Orchestration Platform, the world's first solution, streamlines collection conversations by syncing channels and accounts. Skit.ai's Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. Skit.ai has received several awards and recognitions, including the BIG AI Excellence Award 2024, Stevie Gold Winner 2023 for Most Innovative Company by The International Business Awards, and Disruptive Technology of the Year 2022 by CCW. Skit.ai is headquartered in New York City, NY. Visit https://skit.ai/

    Role Overview

    Job Title: Forward Deployed AI Engineer

    Location: Bangalore (In-Office)

    Experience: 1-3 years

    Type: Full-time

    Mission: The Special Forces. Bridge Core Research and Client Reality. Architect solutions, don''''''''''''''''t just configure.

    Tech Stack

    Python

    LLM Architecture patterns

    ASR/TTS Configurations

    RAG (Retrieval Augmented Generation)

    Key Responsibilities

    Architecture, Not Just Prompts

    Understand model limitations deeply

    Design Training Data Templates

    Build RAG retrieval logic for banking domain

    Deep Configuration - Must have

    Tune ASR Endpointing settings

    Configure VAD thresholds

    Adjust TTS prosody for specific use cases

    Go beyond just setting the language

    Deployment

    Write Python integration code

    Integrate bot into bank's workflow

    Own Bot Performance.end-to-end

    Requirements

    1-3 years experience in AI/ML deployment

    Strong Python coding skills

    Understanding of LLM architecture and limitations

    Experience with ASR/TTS systems configuration

    RAG implementation experience

    Client-facing technical communication skills

    Self-directed problem solver

    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!

    Sourced from foundit

    Skills

    LLM Architecture patternsTTSASRPythonRAG Retrieval Augmented Generation

    About Uplers

    Uplers logo

    Uplers

    Internet

    963

    employees

    2012

    14 years old

    Ahmedabad, Gujarat

    India

    About

    Uplers leverages AI and remote work to facilitate efficient talent matching between vetted professionals and companies, enhancing the hiring process.

    Industries

    Internet

    Employee ratings

    402 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    3.1

    Work-life

    3.6

    Employees rate it well for

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