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    Home/Jobs/Senior Machine Learning Engineer, Gen AI

    Senior Machine Learning Engineer, Gen AI

    Weave

    India
    5+ years
    13 days ago
    ₹23–44 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    Prompt Engineering
    Fine-tuning
    Python
    Jupyter
    MLFlow
    KubeFlow
    Dagster
    DVC
    Triton Server
    PostgreSQL
    Distributed Systems
    Cloud Environment
    Kubernetes

    Description

    Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways. You will be joining a team of talented developers that share a common interest in distributed backend systems, data, scalability, and continued development.

    Company: Weave

    Role: Senior Machine Learning Engineer, Gen AI

    Location: India (Remote)

    Experience:

    • 5+ years of experience in Machine Learning or AI, preferably with a focus on natural language
    • Experience moving and storing TBs of data or 100M’s to 10B’s of records
    • Experience building and deploying ML driven B2B multi-tenant applications in production environments at scale for external products and customers
    • 3+ years of experience in engineering and systems with strong proficiency in coding and system design

    Role Focus: • Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences • Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning • Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products • Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning • Build scalable, resilient services to support data integration, event processing, and platform extensions • Contribute to the continued evolution of product functionality that services large amounts of data and traffic • Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce • Coach and collaborate inside and outside the team

    Nice to have:

    • A background with data analysis, visualization, and presentation
    • Experience with low latency natural language models and pipelines at scale
    • Experience with real-time audio models and voice use cases such as transcription, ASR pipelines with interruption detection, audio alignment, and speech synthesis
    • Experience with emerging technologies such as Model Context Protocol (MCP)
    • Proficient understanding of containers, orchestrators, and usage patterns at scale
    • Experience with highly sensitive data such as PHI (HIPAA) and PII data
    • Experience with automation and container based workflow engines
    • Experience with GitOps, IaC, and configuration driven systems
    • A preference for open source solutions
    • A track record of clean abstractions and simple to use APIs
    • A desire to advance the state of the art with new and innovative technologies
    • Enjoys working in a greenfield environment using rapid prototyping
    • Enjoys working with open-ended, evolving problems, and domains

    More skills:

    Workflow Engines (Dagster, MLFlow, KubeFlow, etc), GKE, Operator Pattern (GCP)

    Other:

    • Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws
    • Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported
    • Beware of recruitment fraud. All official correspondence will occur through Weave branded email

    Prepare for this role

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