Hire AI and Machine Learning Engineers in India
Hire AI and machine learning engineers in India without setting up a local entity. Akross coordinates employment administration while you manage AI development, model engineering, data workflows, and product delivery.
Build Your AI and Machine Learning Engineering Team in India
Artificial intelligence is becoming an important part of modern software products, business applications, automation platforms, and digital services. International companies increasingly need specialised engineering professionals to develop AI-powered applications, implement machine learning models, and integrate intelligent capabilities into their existing products.
Building an effective AI engineering team may require AI engineers, machine learning engineers, deep learning specialists, generative AI developers, NLP engineers, and MLOps professionals who can work within your existing technology environment.
Hiring these professionals in India can help your organization establish dedicated AI and machine learning capabilities without immediately setting up its own local entity.
However, international hiring also introduces employment documentation, payroll administration, and local compliance responsibilities. Establishing your own Indian entity before making your first AI engineering hire may add unnecessary administrative work.
Akross helps international companies employ AI and machine learning professionals in India through an EOR arrangement without first establishing their own Indian legal entity, where the arrangement is appropriate.
Your company selects the professionals and defines their technical responsibilities. Amulya Infotech India Pvt Ltd serves as the employing entity, while Akross coordinates the agreed local employment administration.
This allows your India-based engineers to work within your existing development environment while your business retains control over AI architecture, model development, technical decisions, and product objectives.
How the EOR arrangement works
Your company
Selects the professionals and defines their technical responsibilities
Akross
Coordinates the agreed local employment administration
Amulya Infotech India Pvt Ltd
Serves as the employing entity
Your AI and machine learning engineers in India
Build, deploy, and support AI-powered applications and models
Build and Scale Your AI Development Capabilities
AI development requires ongoing engineering activities across data preparation, model development, testing, deployment, and performance monitoring.
An India-based AI engineering team can provide additional technical capacity for agreed development activities and product requirements.
Develop AI-Powered Applications
Build dedicated engineering capacity for AI integrations, intelligent application features, automation workflows, and AI-enabled product development.
Strengthen Machine Learning Development
Support model development, training workflows, evaluation, predictive analytics, and machine learning implementation based on your business requirements.
Expand Generative AI Capabilities
Develop applications using large language models, retrieval-augmented generation (RAG), AI assistants, and other generative AI technologies.
Improve Data and Model Workflows
Coordinate data preparation, feature engineering, model evaluation, and machine learning pipeline development within your existing technical processes.
Support Production AI Operations
Build engineering capacity for model deployment, monitoring, version management, performance evaluation, and ongoing MLOps activities.
Your company defines the required AI architecture, technology stack, development standards, and project responsibilities. The employment arrangement and working schedules must comply with applicable Indian employment requirements.
AI and Machine Learning Professionals You Can Hire
AI Engineers
Develop AI-powered applications, integrate artificial intelligence capabilities into software products, and implement intelligent automation based on your technical requirements.
Machine Learning Engineers
Build, train, evaluate, and improve machine learning models for prediction, classification, recommendation systems, and other business applications.
Deep Learning Engineers
Work on neural networks, deep learning architectures, computer vision, natural language processing, and advanced machine learning applications.
Generative AI Engineers
Develop generative AI applications, integrate large language models, implement RAG workflows, and build AI-powered product experiences.
Natural Language Processing (NLP) Engineers
Develop language-processing capabilities for conversational applications, document analysis, text classification, intelligent search, and language-based automation.
Computer Vision Engineers
Build image recognition, object detection, image classification, video analysis, and visual intelligence capabilities for your applications.
MLOps Engineers
Support machine learning deployment, automated pipelines, model monitoring, infrastructure coordination, and production model management.
You stay in control
You can define the required industry experience, programming languages, AI frameworks, cloud platforms, machine learning tools, data engineering knowledge, and technical responsibilities for each position.
Strengthen Your AI Engineering Operations
A dedicated AI and machine learning team can help your organization maintain consistent development capacity, support model improvement, and integrate intelligent capabilities into existing products.
Accelerate AI Application Development
Build engineering capacity for AI-powered features, intelligent automation, application integrations, and product development activities.
Improve Machine Learning Model Development
Support data preparation, model training, evaluation, experimentation, and performance improvement within your existing development processes.
Expand Generative AI Development
Develop capabilities for LLM integrations, RAG applications, conversational AI, document intelligence, and AI-assisted workflows.
Strengthen Data and Model Pipelines
Support data processing, feature engineering, model pipelines, and integration with your existing data infrastructure.
Support AI Deployment and Monitoring
Build dedicated capacity for model deployment, performance monitoring, version control, and ongoing production support.
Your company defines AI strategy, model requirements, architecture decisions, data governance, development priorities, technical standards, and product objectives.
How Our Hiring Process Works
- 1Define
- 2Select
- 3Terms
- 4Onboard
- 5Integrate
Define Your AI and Machine Learning Requirements
Identify the roles, number of employees, experience levels, technical skills, AI specializations, programming languages, frameworks, cloud platforms, work location, working hours, and intended joining date.
Specify whether you need AI engineers, machine learning engineers, deep learning specialists, generative AI developers, NLP engineers, computer vision engineers, or MLOps professionals.
Select Your AI and Machine Learning Professionals
Your team evaluates candidates based on relevant engineering experience, programming capabilities, machine learning knowledge, AI frameworks, project experience, and suitability for your technical environment.
Candidate sourcing and recruitment assistance can be discussed separately if required. Confirm the agreed service scope before assuming recruitment is included.
Confirm Employment Terms
After selecting a candidate, the employment terms, compensation, start date, documentation, working schedule, and applicable statutory requirements are reviewed.
Amulya Infotech India Pvt Ltd serves as the employing entity under the agreed EOR arrangement.
Complete Employment Onboarding
Akross coordinates the agreed employment documentation, payroll setup, employee records, and applicable statutory administration.
The onboarding timeline depends on candidate availability, documentation readiness, required checks, and other relevant dependencies.
Integrate Your AI Engineering Team
Your organization provides access to the required development environments, source code repositories, AI frameworks, cloud platforms, datasets, project documentation, collaboration tools, and internal systems.
Define development workflows, technical responsibilities, data access permissions, model ownership, reporting procedures, and performance expectations before employees begin work.
How quickly can you hire?
The process may progress within days when a suitable candidate is available and the required employment documentation is ready. Recruitment requirements, notice periods, approvals, and onboarding dependencies may extend the timeline. Akross will discuss a realistic joining date based on your requirements.
You Control AI Strategy and Engineering Decisions
Your company remains responsible for AI strategy, technical architecture, model development priorities, and product engineering decisions. Akross coordinates the agreed local employment administration through Amulya Infotech India Pvt Ltd.
Your team leads
- AI strategy, product objectives, and technical roadmaps.
- AI architecture, model selection, and engineering standards.
- Machine learning development and model evaluation.
- Data governance, dataset selection, and data quality requirements.
- Generative AI implementation and application integrations.
- Source code management, development workflows, and deployment decisions.
- Model performance expectations, technical reviews, and work-related performance management.
Akross coordinates
- Employment contracts and onboarding documentation.
- Payroll processing and applicable statutory administration.
- Employee records and agreed HR support.
- Leave administration and relevant employee processes.
- Employment-related documentation and processes.
- Offboarding documentation and employment formalities.
This division allows your organization to manage AI development activities while Akross coordinates local employment administration. Formal employment responsibilities should be documented and managed in accordance with the agreed contracts and applicable Indian law.
Employment, Compliance & Information Security
A Named Indian Employer
Amulya Infotech India Pvt Ltd is the employing entity under the EOR arrangement described on this page. Relevant statutory registrations and accounts are maintained under the registered entity as applicable.
Specific employment and payroll obligations depend on the employment arrangement, employee circumstances, work location, and current Indian requirements.
AI Project Data Security
AI and machine learning professionals may access confidential datasets, source code, model architectures, customer information, proprietary algorithms, business information, and development environments.
Your organization should establish:
- Appropriate confidentiality and non-disclosure obligations.
- Role-based access to source code, datasets, and AI platforms.
- Secure authentication and account management.
- Data classification and handling procedures.
- Appropriate access permissions for cloud platforms and development tools.
- Controls for using customer information in model training and evaluation.
- Intellectual property ownership and assignment provisions.
- Access revocation when responsibilities change or employment ends.
Where employees process personal information or customer datasets, your organization should establish appropriate data protection and information security practices in accordance with applicable laws.
Your company remains responsible for defining AI governance policies, data usage permissions, model security requirements, and technical access controls.
Permanent Establishment Risk
An EOR arrangement does not automatically eliminate Permanent Establishment (PE) or other corporate tax risks.
Exposure depends on your company’s activities in India, employee responsibilities, contractual authority, applicable domestic law, and relevant tax treaties.
Obtain qualified tax advice to assess your circumstances, particularly where employees represent your business, negotiate contracts, or undertake activities that could create a taxable presence.
Explore More Hiring Roles
As your AI and machine learning capabilities expand, you may need additional professionals across software development, infrastructure, data engineering, cybersecurity, and product operations.
Hire Software Developers in India
Build backend, frontend, and full-stack engineering capacity while retaining control over your product development.
Hire DevOps Engineers in India
Support cloud infrastructure, CI/CD pipelines, deployment automation, and site reliability engineering.
Hire Data Engineers in India
Build data pipelines, analytics infrastructure, reporting systems, and business intelligence capabilities.
Hire QA Automation Engineers in India
Strengthen automated testing, regression coverage, and software release quality.
Hire Cybersecurity Analysts in India
Explore security monitoring, vulnerability management, incident response, and security operations roles.
Hire IT Support Engineers in India
Build infrastructure support capabilities across system administration, NOC monitoring, and L1, L2, and L3 operations.
Hire Customer Support Teams in India
Build customer service and customer success capacity for international customer operations.
Hire Product Designers in India
Build UI/UX design and product management capabilities for your digital products.
Hire SDRs and Marketing Talent in India
Build sales development, inside sales, lead generation, SEO, and content marketing capabilities.
Build Your AI Engineering Team in India
Hire AI and machine learning professionals in India without setting up a local entity. Akross coordinates employment administration while you manage AI development, machine learning models, and intelligent product solutions.
Scale or Transition Your Team
Your AI and machine learning requirements may change as your business introduces new AI products, expands development activities, or increases its use of intelligent automation.
Add AI Engineering Professionals
Discuss additional AI engineers, machine learning specialists, and generative AI developers as your product development requirements increase.
Expand Machine Learning Capabilities
Plan additional engineering capacity for model development, predictive analytics, deep learning, and machine learning applications.
Strengthen Generative AI Development
Add professionals to support LLM integrations, RAG applications, conversational AI, and AI-powered business workflows.
Build a Connected AI Engineering Team
Expand into AI engineering, data engineering, MLOps, and software development roles to support a coordinated AI product development environment.
Transition to Your Own Indian Entity
If you later establish an Indian company, a transition may be possible after reviewing employment contracts, employee arrangements, legal requirements, and statutory obligations. Address continuity of service, accrued benefits, outstanding payments, and relevant tax considerations before proceeding.
The appropriate transition process depends on your circumstances and the agreements in place.
FAQs
Answers to common questions about hiring AI and machine learning engineers in India with Akross, from the legal employer and notice periods to team expansion and transition.
Can we hire AI and machine learning engineers in India without setting up a local entity?
Yes. An eligible EOR arrangement through Akross and Amulya Infotech India Pvt Ltd can allow your company to employ AI and machine learning professionals in India without first establishing its own Indian entity.
Who employs our AI and machine learning engineers?
Under the arrangement described on this page, Amulya Infotech India Pvt Ltd is the employing entity. Akross coordinates the agreed EOR services and employment administration.
What AI and machine learning roles can we hire through Akross?
You can define requirements for AI engineers, machine learning engineers, deep learning specialists, generative AI engineers, NLP engineers, computer vision engineers, and MLOps professionals.
Can our AI engineers work with our existing technology stack?
Yes. Your organization can specify the programming languages, AI frameworks, machine learning platforms, cloud infrastructure, development tools, and technical environment required for each position.
Can we hire generative AI and LLM engineers in India?
Yes. You can define requirements for professionals working with large language models, RAG applications, conversational AI, and other generative AI technologies.
Who manages AI architecture and model development?
Your organization manages AI strategy, architecture decisions, technical priorities, model requirements, and development activities. Akross coordinates the agreed employment administration.
How is our AI project information protected?
Your company should establish confidentiality obligations, role-based access permissions, secure authentication, appropriate data-handling procedures, and intellectual property assignment provisions. Your technical team remains responsible for AI security and data governance.
How quickly can we hire AI and machine learning professionals in India?
The timeline depends on candidate availability, notice periods, documentation, required checks, and onboarding readiness. A realistic joining date should be agreed after reviewing these factors.
Who handles payroll and statutory administration?
Akross coordinates the agreed employment administration through the employing entity. Applicable payroll and statutory obligations are handled according to relevant requirements and contractual responsibilities.
Can we expand our AI engineering team later?
Yes. Additional hires can be discussed as your AI development and product requirements grow, subject to candidate availability, onboarding readiness, and the agreed service arrangement.
Can we transfer employees to our own Indian entity later?
A future transition may be possible, subject to contractual terms, employee arrangements, legal review, and applicable employment obligations.
Does an EOR eliminate Permanent Establishment risk?
No. An EOR does not automatically eliminate PE or other corporate tax risks. Your business activities, employee responsibilities, contractual arrangements, and applicable tax rules should be assessed with qualified tax advisers.
Build Your AI and Machine Learning Engineering Team With Akross
Hire AI and machine learning professionals in India through an employment arrangement designed to support local employment administration while your company retains control over AI strategy, model development, data workflows, and product engineering.
Akross combines its dedicated focus on India EOR services with the experience of Amulya Infotech India Pvt Ltd, an India-based IT outsourcing and support company founded in 2001.