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Sr AI ML Engineer

icon building Company : Anthrobyte
icon briefcase Job Type : Full Time

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Job Description - Sr AI ML Engineer

About the Role

We are seeking a Senior AI Engineer to lead
a strategic enterprise engagement spanning Pricing Elasticity Modeling,
Customer Segmentation, and AI -driven Supply Chain Intelligence. You will deliver
production -grade ML/LLM solutions.


Requirements

Key Responsibilities

Pricing Elasticity Modeling

  • Build econometric and ML models
    for price elasticity across products, channels, and segments.

  • Develop dynamic and competitive
    pricing using regression, Bayesian, causal inference, and RL techniques.

  • Create scenario simulation
    tools to forecast revenue and margin impact of pricing strategies.

Customer Segmentation

  • Develop behavioral, RFM,
    lifecycle, and propensity -based segmentation using clustering and embeddings.

  • Leverage LLMs to enrich
    customer representations from unstructured data (reviews, tickets,
    communications).

  • Operationalize segments into
    CRM, CDP, and personalization platforms for marketing and sales activation.

AI -Driven Supply Chain Intelligence

  • Architect demand forecasting
    using classical (ARIMA, Prophet) and deep learning (LSTM, TFT, N -BEATS)
    methods.

  • Build inventory optimization,
    replenishment, and supplier risk models using ML and operations research.

  • Design LLM -powered agents and
    copilots for analytics, anomaly detection, and decision support.

Technical Leadership & Delivery

  • Own end -to -end solution design
    — data ingestion, feature engineering, deployment, monitoring, governance.

  • Mentor data scientists/ML
    engineers; lead code, model, and design reviews.

  • Establish MLOps/LLMOps best
    practices: CI/CD, versioning, drift detection, and responsible AI guardrails.

Required Qualifications

  • 3+ years in AI/ML engineering
    or applied data science, with 1+ year of production LLM experience.

  • Bachelor's or Master's in CS,
    Data Science, Statistics, OR, Economics, or related quantitative field.

  • Strong Python skills with
    scikit -learn, XGBoost/LightGBM, and PyTorch or TensorFlow.

  • Hands -on with LLM tooling:
    LangChain/LlamaIndex, Hugging Face, OpenAI/Anthropic/Bedrock/Vertex APIs.

  • Experience building RAG
    systems, agentic workflows, and prompt engineering for enterprise use cases.

  • Solid grounding in statistics,
    time -series forecasting, and causal inference.

  • Production deployment
    experience on AWS (SageMaker), Azure ML, or GCP Vertex AI.

  • Strong SQL and modern data
    stack exposure: Snowflake, Databricks, BigQuery, or Redshift.

  • MLOps experience with MLflow,
    Airflow, Docker, Kubernetes, and CI/CD pipelines.

  • Excellent stakeholder
    communication; able to present to executive audiences.

Preferred Qualifications

  • Domain experience in retail,
    CPG, e -commerce, manufacturing, or logistics.

  • Familiarity with vector DBs
    (Pinecone, Weaviate, FAISS, pgvector), uplift modeling, and bandits.

  • Cloud certifications: AWS ML
    Specialty, Azure AI Engineer, or GCP ML Engineer.

  • Prior consulting or
    client -facing delivery leadership; OSS contributions or publications a plus.



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