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India Jobs in Texas (NOW HIRING)

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Role: Data Scientist - INDIA Location: Hyderabad / Noida, INDIA *Consultants local to INDIA are eligible. Category: Data Science - Structured Data / Text Data (NLP & GenAI) About the Role We are ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site

$97K - $131K/yr

INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and maintain scalable data pipelines using ...

Vytwo

GCP Data Engineering Technologies INDIA

Prosper, TX · On-site

$104K - $125K/yr

Consultant Must be located in INDIA Primary Skills: Python, SQL, Cloud Functions, GCS Buckets, Firestore DB, Cloud Scheduler, Artifact Registry Experience: 6-8 yrs of experience Required Secondary ...

Vytwo

Lead AI Engineer - Bengaluru, INDIA

Prosper, TX · On-site

$93K - $123K/yr

Consultants local to INDIA only Primary Responsibilities: This role focuses on building production-ready AI applications and deploying them on Azure Databricks and Azure cloud infrastructure . You ...

Vytwo

Lead AI Engineer - Bengaluru, INDIA

Dallas, TX · On-site

$120 - $160/hr

Consultants local to INDIA only Primary Responsibilities: This role focuses on building production-ready AI applications and deploying them on Azure Databricks and Azure cloud infrastructure . You ...

Photon

Sr iOS Developer - Chennai/Bangalore, India

Dallas, TX · On-site

$51.25 - $70.50/hr

iOS Skillset Requirement Skills required Detailed description SwiftUI Experience in creating user interface via SwiftUI framework (4+ years) Swift Experience in working with mobile applications ...

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India information

What is an India job?

An India job typically refers to employment opportunities in India across various industries such as technology, healthcare, finance, and manufacturing. India has a diverse job market with roles ranging from entry-level positions to senior management. Many multinational companies have a presence in India, offering jobs in IT, customer service, engineering, and more. Additionally, India has a growing startup ecosystem that provides opportunities in emerging fields like AI, fintech, and e-commerce. The job market in India is competitive, requiring relevant skills, experience, and sometimes proficiency in multiple languages.

What are some common challenges faced by professionals working in multinational companies in India?

Professionals in multinational companies in India often encounter challenges related to cross-cultural communication, navigating complex organizational structures, and adapting to both global and local business practices. Balancing the expectations of international headquarters with local market dynamics can require flexibility and strong problem-solving skills. Additionally, time zone differences and collaboration with geographically dispersed teams can impact project timelines and necessitate strong coordination abilities.

What is the difference between India vs Data Analyst?

AspectIndiaData Analyst
Required CredentialsBachelor's degree, often in IT, Business, or related fieldsBachelor's or higher in Statistics, Computer Science, or related fields
Work EnvironmentCorporate offices, IT firms, consulting companiesBusiness, finance, healthcare, tech companies
Industry UsageGovernment, private sector, NGOsData-driven decision making across industries
Common Search/ComparisonIndia vs Data AnalystData Analyst roles in India

India and Data Analyst are related in terms of skills and work environment, but India refers to a country with diverse industries, while Data Analyst is a specific job role focused on analyzing data to support business decisions. Many professionals in India work as Data Analysts, making the comparison relevant for job seekers and employers alike.

What are the most commonly searched types of India jobs in Texas?

The most popular types of India jobs in Texas are:

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For India jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for India jobs in Texas are:

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Cities in Texas with the most India job openings:

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Infographic showing various India job openings in Texas as of August 2026, with employment types broken down into 78% Full Time, 11% Contract, and 11% Nights. Highlights an 77% In-person, and 23% Remote job distribution.

Data Scientist - INDIA

Vytwo

Prosper, TX • On-site

Full-time

Re-posted 24 days ago

Job description

Role: Data Scientist - INDIA
Location: Hyderabad / Noida, INDIA
*Consultants local to INDIA are eligible.Category: Data Science – Structured Data / Text Data (NLP & GenAI)
About the Role

We are seeking a highly skilled Data Scientist (3–7 years of experience) to join our team and work across two major data science domains:
  1. Structured Data (80–90%) – Predictive analytics, forecasting, cost estimation, likelihood modeling, and batch‑oriented machine learning pipelines.
  2. Text / Unstructured Data (NLP & GenAI) – Building low‑latency real‑time systems using deep learning, LLMs, prompt engineering, and agentic AI frameworks.
This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production-ready data science solutions.
Key Responsibilities

Structured Data – Machine Learning & Analytics

  • Build, deploy, and optimize ML models for predictive analytics, forecasting, classification, and regression.
  • Perform large-scale feature engineering using PySpark and Big Data tools.
  • Work on batch pipelines, model versioning, and experiment tracking.
  • Develop cost estimation and risk/likelihood models using statistical and ML techniques.
Text Data / NLP / GenAI

  • Build NLP pipelines using deep learning frameworks such as PyTorch, TensorFlow, or similar.
  • Develop real‑time, low‑latency inference systems for text classification, embeddings, semantic search, summarization, and retrieval.
  • Create prompts, context graphs, and agentic workflows for LLM-based systems.
  • Apply knowledge of prompt engineering, context engineering, and autonomous agent frameworks to production systems.
Core Data Science Engineering & MLOps

  • Work in Databricks for ETL, feature engineering, ML training, and orchestration.
  • Use Azure services for model deployment, data pipelines, and infrastructure.
  • Collaborate using Git-based workflows; leverage tools like GitHub Copilot, Claude Code, etc.
  • Implement model monitoring, observability, drift detection, and performance tracking.
Required Skills & Experience

✅ Core Skills

  • Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration).
  • Excellent PySpark skills for large-scale distributed data processing.
  • Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure).
  • Strong understanding of ML algorithms, statistical methods, and data analysis.
  • Experience with deep learning frameworks:
    • PyTorch
    • TensorFlow
    • Transformers (HuggingFace)
  • Experience with model monitoring and ML observability.
  • Ability to write clean, optimized code and leverage AI code assistants.
✅ NLP / GenAI Specific Skills

  • Prompt engineering (task prompts, chain of thought, tool calling, retrieval prompts).
  • Context engineering (retrieval pipelines, RAG, memory management, context structuring).
  • Knowledge of LLM-based agentic frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.).
  • Experience with vector databases and embedding models is a plus.
Good to Have Skills

  • Experience with containerization (Docker, Kubernetes, AKS).
  • Experience deploying models to production (REST APIs, real-time endpoints).
  • Knowledge of streaming technologies (Kafka, EventHub, Spark Streaming).
  • Understanding of CI/CD for ML (Azure DevOps / GitHub Actions).
Who You Are

  • A problem solver who is comfortable working with both structured and unstructured data.
  • Someone who enjoys using modern AI tools to accelerate development.
  • A data scientist who writes clean, production-grade code.
  • A collaborator who thrives in cross-functional teams and fast-paced environments.

Flexible work from home options available.