Associate Machine Learning Architect

6 - 8 years

0 Lacs

Posted:3 weeks ago| Platform: Foundit logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Architect the Future of AI with goML

goML

bridge the gap between advanced AI research and real-world enterprise adoption

Associate ML Architect

If you're passionate about building production-grade AI systems and driving the next wave of enterprise GenAI innovation, we'd love to hear from you!

Why You Why Now

Generative AI is revolutionizing how businesses operate but scaling it requires strong architecture, security, and performance foundations.

architecting AI/ML workloads

At goML, You Will:

  • Architect and own end-to-end

    AI/ML and GenAI solutions

    across industries.
  • Collaborate with

    sales, presales, and engineering

    teams to define technical proposals.
  • Design

    cloud-native, multi-tenant, and serverless architectures

    on AWS using services like

    SageMaker, Bedrock, Lambda, API Gateway, and OpenSearch.

  • Work directly with the

    co-founders and leadership

    to influence AI/ML strategy and architecture decisions.

What You'll Do (Key Responsibilities)

First 30 Days: Foundation & Alignment

  • Deep dive into

    goML's AI/ML & GenAI solution frameworks

    and ongoing client architectures.
  • Familiarize yourself with

    AWS partnership workflows

    and solution templates.
  • Partner with presales teams to

    understand client needs and pain points.

  • Start designing and reviewing

    AI/ML workload deployment practices

    on AWS.

First 60 Days: Execution & Impact

  • Own

    solution design and delivery

    for client AI/ML and LLM workloads.
  • Build

    reference architectures, POCs

    , and define

    ML pipelines

    with MLOps best practices.
  • Optimize

    inference, embeddings, GPU utilization, and cost efficiency

    across workloads.
  • Collaborate with clients and internal teams to translate

    GenAI use cases into scalable architectures.

First 180 Days: Ownership & Leadership

  • Lead

    architecture reviews

    for enterprise-grade AI/ML systems.
  • Implement

    RAG pipelines

    , fine-tuning strategies, and

    LLM optimization frameworks.

  • Mentor

    ML engineers and cloud developers

    in MLOps and scalable AI system design.
  • Contribute to

    goML's AI/ML best practices

    , internal accelerators, and knowledge base.
  • Represent goML in

    technical blogs, webinars, and community forums.

What You Bring (Qualifications & Skills)

Must-Have

  • 67 years of experience

    in AI/ML solution design and deployment on AWS.
  • Proven expertise in

    AWS AI/ML stack

    SageMaker, Bedrock, Lambda, ECS, API Gateway, S3, and DynamoDB.
  • Experience in

    LLMOps, RAG pipelines, and GenAI architecture

    using models like Claude, Mistral, Llama, or Titan.
  • Solid understanding of

    MLOps

    , CI/CD, and

    infrastructure automation

    (Terraform/CDK).
  • Strong communication skills with experience in

    client-facing discussions

    and technical proposal creation.

Nice-to-Have

  • Exposure to

    Azure ML, GCP Vertex AI, or NVIDIA AI/ML services.

  • Hands-on experience with

    LangChain, Hugging Face

    , or

    vector databases

    (OpenSearch, Pinecone, FAISS).
  • Familiarity with

    multi-cloud AI deployments

    and

    hybrid data architectures.

Why Work With Us

  • Remote-first

    , with offices in Coimbatore for collaboration and innovation.
  • Opportunity to

    build GenAI and AI/ML systems

    that power enterprise-scale transformations.
  • Direct impact on

    technical strategy, solution architecture, and client success.

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