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    Home/Jobs/ML Engineer

    ML Engineer

    Priceline

    Mumbai
    4-6 years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    LangChain
    LLMOps
    Gemini Enterprise
    LiteLLM
    Python
    GCP
    Vertex AI
    GKE
    Kubernetes
    Docker
    GitOps
    ArgoCD
    LangGraph
    Arize
    Splunk

    Description

    The Global Platform Engineering platform team within the Data & AI/ML product group powers Priceline’s most strategic initiatives by providing secure, scalable, and governed access to data, machine learning, and GenAI.

    Company: Priceline

    Role: ML Engineer

    Location: Mumbai | Hybrid (2 days in-office)

    Experience:

    • 4–6 years of experience in Cloud-native software engineering
    • Bachelor’s Degree in Computer Science or relevant experience

    Qualification:

    • Bachelor’s Degree in Computer Science

    Role Focus:

    • Build AI-Powered Platform Frameworks and Tooling
    • Improve developer productivity around GenAI usage
    • Collaborate on building guardrails and observability frameworks for LLMs
    • Build, maintain, and troubleshoot AI/ML and GenAI pipelines
    • Implement and standardize LLMOps patterns
    • Use Arize for model drift/quality monitoring, embeddings monitoring, and LLM evaluation patterns
    • Implement logging, alerting, and SLOs for ML workloads and pipelines

    Additional responsibilities:

    • Assist with incident response, root-cause analysis, and long-term platform improvements
    • Collaborate with centralized infrastructure platform teams and security teams

    Nice to have:

    • Familiarity with enterprise MLOps tooling and best practices
    • Good understanding of infosec and RBAC best practices, and security posture management
    • Exposure to SRE best practices and error budgets for AI/ML systems

    More skills:

    GCP (Vertex AI, GKE, Dataflow, Dataproc, Composer, BigQuery), LLMOps toolchains (RAG pipelines, vector stores, prompt/version management, agent frameworks), GitOps (ArgoCD, GitHub Actions, Codefresh), Istio gateways, LangSmith, New Relic, Pagerduty, NexusIQ, StackRox, Wiz

    Other:

    • Health & wellness coverage including medical, dental, vision, and mental health resources
    • Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days
    • Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals
    • Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts
    • Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits
    • Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits
    • A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

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    Functions, Tools and Agents with LangChain

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    Advanced LangChain covering function calling, tool use, and conversational agents.

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