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Manager India Jobs (NOW HIRING)

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site +1

Hyderabad / Noida, INDIA *Consultants local to INDIA are eligible. Category: Data Science ... Context engineering (retrieval pipelines, RAG, memory management, context structuring). * Knowledge ...

Catenon india

IT Product - Pre Sales

Bellevue, WA · On-site

$23.25 - $25.75/hr

... Mumbai, India and Engineering Center in Pune, India. It is the leader in providing enterprise ... The company's product suite includes comprehensive solutions for contract and compliance management ...

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

Data Analytics Manager (India) * Data Engineering / DW team * Product, Marketing, and Finance stakeholders * Help define scalable data models and structures to support analytics and AI use cases ...

Teleflora

Data Scientist, Modeler

Paragould, AR · On-site +1

Data Analytics Manager (India) * Data Engineering / DW team * Product, Marketing, and Finance stakeholders * Help define scalable data models and structures to support analytics and AI use cases ...

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All JobsManager India Jobs

Manager India information

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$29K

$104.6K

$118K

How much do manager india jobs pay per year?

As of Jun 20, 2026, the average yearly pay for manager india in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

How does a Manager in India typically collaborate with cross-functional teams to achieve organizational goals?

Managers in India often work closely with diverse teams, including sales, operations, and human resources, to drive projects and meet targets. Effective collaboration involves regular meetings, clear communication, and leveraging digital tools to coordinate efforts across departments. Managers are expected to foster a culture of teamwork, address challenges proactively, and ensure that all stakeholders are aligned with the organization's objectives. This cross-functional approach not only streamlines workflows but also enhances innovation and problem-solving within the company.

What are the key skills and qualifications needed to thrive as a Manager in India, and why are they important?

To thrive as a Manager in India, you need strong leadership, project management, and problem-solving skills, typically supported by a relevant bachelor's degree and managerial experience. Familiarity with productivity tools like Microsoft Office, ERP systems, and sometimes certifications like PMP or Six Sigma are common requirements. Excellent interpersonal communication, cultural sensitivity, and adaptability are crucial soft skills for managing diverse teams and stakeholders. These competencies are vital for driving team performance, ensuring operational efficiency, and achieving organizational goals in a dynamic business environment.

What are Manager India roles responsible for?

A Manager India is typically responsible for overseeing business operations, teams, or projects within the Indian market or region. Their duties often include setting goals, managing resources, ensuring compliance with local regulations, and leading staff to achieve organizational objectives. They may also be involved in strategic planning, stakeholder communication, and performance evaluations. The exact responsibilities can vary depending on the industry and company, but leadership, problem-solving, and cross-functional collaboration are key aspects of the role.

What is the difference between Manager India vs Project Manager India?

AspectManager IndiaProject Manager India
Primary RoleOversees departmental or organizational functions, strategic planning, and team managementPlans, executes, and closes projects within scope, time, and budget
Required CredentialsOften requires management degrees or certifications like MBA, PMP (optional)Typically requires PMP, Prince2, or similar project management certifications
Work EnvironmentCorporate offices, strategic meetings, leadership rolesProject sites, client meetings, cross-functional teams
Industry UsageCommon in corporate, finance, HR, and operations sectorsPrevalent in IT, construction, engineering, and consulting sectors

While both roles involve leadership, a Manager India focuses on overall departmental management and strategic decisions, whereas a Project Manager India concentrates on specific projects, ensuring timely delivery and scope management.

What cities are hiring for Manager India jobs? Cities with the most Manager India job openings:
What are the most commonly searched types of India jobs? The most popular types of India jobs are:
What states have the most Manager India jobs? States with the most job openings for Manager India jobs include:
Manager India jobs near you
Infographic showing various Manager India job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Data Scientist - INDIA

Vytwo

Prosper, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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 (37 years of experience) to join our team and work across two major data science domains:
  1. Structured Data (8090%) Predictive analytics, forecasting, cost estimation, likelihood modeling, and batchoriented machine learning pipelines.
  2. Text / Unstructured Data (NLP & GenAI) Building lowlatency realtime 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 realtime, lowlatency 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.