Senior AI & Data Science Engineer

Niharika Chouksey; Hyderabad; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Senior AI & Data Science Engineer in Hyderabad (Hybrid) is sought to lead development of predictive models, AI services, and data-driven analytics. The role focuses on LLM-powered apps, RAG pipelines, and Voice AI solutions, with extensive use of Python, FastAPI/Django, and various vector databases.

The ideal candidate will design scalable AI systems, integrate OpenAI/GPT-4o/GPT-5, Claude, Gemini, and other platforms, while optimizing accuracy, latency, and cost across enterprise environments.

Qualifications

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

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
• 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

Skills

Advanced SQL

Python

R

Pandas

NumPy

Scikit-learn

Statsmodels

Predictive Modeling

Anomaly Detection

Tableau

Tools

AWS SageMaker

Redshift

Athena

Glue

QuickSight

FastAPI

Django

REST APIs

WebSockets

Redis

Pinecone

Weaviate

Qdrant

Milvus

OpenAI APIs

GPT-4o/GPT-5

Claude

Gemini

LangChain

LlamaIndex

Hugging Face

Sentence Transformers

Pydantic AI

Job description

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