Staff / Senior ML - GenAI Engineer, Voice & Speech

Weave
India
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Collaboration","Communication","Problem-solving","Leadership","Teamwork"]

Senior Machine Learning Engineer role focused on designing and building ML infrastructure, tooling, and models to enable AI-powered features at scale. You’ll work on distributed backend systems, data pipelines, and multi-tenant production ML applications, collaborating across cross-functional teams to translate product goals into engineering plans while shaping how Weave democratizes access to large data sets and cutting-edge ML tech.

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FursaFursa
Weave
Weave
4 months ago

Staff / Senior ML - GenAI Engineer, Voice & Speech

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Senior Machine Learning Engineer role focused on designing and building ML infrastructure, tooling, and models to enable AI-powered features at scale. You’ll work on distributed backend systems, data pipelines, and multi-tenant production ML applications, collaborating across cross-functional teams to translate product goals into engineering plans while shaping how Weave democratizes access to large data sets and cutting-edge ML tech.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •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. Guide them through creating excellent customer experiences end to end.
  • •Build scalable, resilient services to support data integration, event processing, and platform extensions.

Key Requirements

  • •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.
  • •Experience with common ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others.
  • •Experience with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, LLM evaluations, multi-modal models, and others.
Experience:5+ yearsMachine learningAIDistributed systems
Skills:CollaborationCommunicationProblem-solvingLeadershipTeamwork
Tech Stack:PythonJupyterDagsterMLFlowKubeFlowDVCTriton ServerLLMsPostgreSQLPandasSQLAWSGCPKubernetesGKEDockerGitOpsIaCContainersData pipelines

Company Brief

Weave
Provides an integrated communications and customer engagement platform for small and medium businesses, offering phone, messaging, appointment reminders, payments, and CRM tools to improve customer relationships and practice operations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Lehi, United States
Founded: 2008
WebsiteLinkedIn