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    Job · 15539241

    Niharika Chouksey logo

    Senior AI & Data Science Engineer

    Niharika Chouksey · Hyderabad · onsite · Posted 48d ago

    ₹25.0L - ₹30.0L PA5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Senior AI & Data Science Engineer

    Experience: 510 Years
    Location: Hyderabad (Hybrid)
    Notice Period: Immediate to 15 Days
    Budget: Up to 30 LPA

    Job Description

    We are looking for a Senior AI & Data Science Engineer with strong experience in Data Science, Machine Learning, Generative AI, LLMs, and AI-powered enterprise applications.

    The ideal candidate will be responsible for developing predictive models, analytics solutions, AI agents, RAG pipelines, Voice AI solutions, dashboards, and scalable AI services.

    Key Responsibilities

    • Develop predictive and machine learning models for business and operational use cases.
    • Build metrics frameworks, dashboards, and analytics solutions using large and multi-source datasets.
    • Perform statistical analysis, root-cause analysis, anomaly detection, and forecasting.
    • Design and implement LLM-powered applications, AI Agents, and RAG pipelines.
    • Develop conversational and Voice AI solutions using STT, TTS, streaming audio, and real-time APIs.
    • Integrate AI solutions with REST APIs, WebSockets, enterprise systems, and databases.
    • Develop scalable Python-based microservices using FastAPI/Django.
    • Work with vector databases such as Redis, Pinecone, Weaviate, Qdrant, or Milvus.
    • Integrate and work with OpenAI, GPT-4o/GPT-5, Claude, Gemini, and other LLM platforms.
    • Optimize AI solutions for accuracy, latency, scalability, and cost.
    • Build anomaly detection and predictive solutions for production and operational environments.
    • Translate complex technical and statistical insights into clear business recommendations.
    • Collaborate with Product, Engineering, QA, and DevOps teams.
    • Document data models, metrics, AI workflows, and technical solutions.

    Required Skills

    Data Science & Analytics

    • Strong Statistics: Regression, Hypothesis Testing, Time Series, Bayesian Methods
    • Advanced SQL
    • Python / R
    • Pandas, NumPy, Scikit-learn, Statsmodels
    • Predictive Modeling & Anomaly Detection
    • Tableau / Dashboard Development
    • AWS: SageMaker, Redshift, Athena, Glue, QuickSight

    Generative AI & LLM

    • OpenAI APIs / OpenAI SDK
    • GPT-4o / GPT-5 or equivalent LLMs
    • Claude / Gemini
    • Prompt Engineering
    • Function & Tool Calling
    • Structured Outputs & JSON Schema
    • Context Window & Token Optimization
    • Model Evaluation and AI Safety
    • RAG, Embeddings & Vector Databases
    • LangChain / LlamaIndex
    • Hugging Face / Sentence Transformers
    • Pydantic AI

    AI Engineering & Voice AI

    • Python
    • FastAPI / Django
    • REST APIs & WebSockets
    • Async Programming
    • Microservices
    • Redis
    • Speech-to-Text (STT) & Text-to-Speech (TTS)
    • OpenAI Realtime API
    • Streaming Audio & VAD

    Preferred Domain Experience

    • Conversational AI
    • Voice AI
    • AI Assistants
    • Customer Support Automation
    • Workflow Automation
    • Enterprise AI Applications

    Sourced from naukri

    Skills

    senio aiPythonData ScienceMachine Learning

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