Hire AI/ML Engineers in Bangalore – Entry to senior level
Artificial intelligence and machine learning are becoming important parts of product development, automation, analytics, personalization, and intelligent business systems. However, hiring professionals with the right combination of programming, machine learning, data, cloud, and deployment experience can be challenging. Cybotrix Technologies helps clients hire AI/ML Engineers in Bangalore according to their technical environment, project goals, experience requirements, and preferred joining timeline.
Moreover, we support startups, product companies, SaaS businesses, GCCs, IT services firms, and enterprises building or expanding AI-focused technology teams. Whether you need an individual machine learning engineer or several specialists for a larger AI initiative, we can align the candidate search with your required skills and project responsibilities.
AI/ML Professionals We Help Clients Hire
AI and machine learning projects require different technical capabilities. Therefore, Cybotrix Technologies helps clients search for professionals according to the actual use case rather than treating every AI profile as identical.
We can support searches for:
- AI Engineers
- Machine Learning Engineers
- AI/ML Engineers
- Generative AI Engineers
- NLP Engineers
- Computer Vision Engineers
- Deep Learning Engineers
- MLOps Engineers
- Applied AI Engineers
- Python Machine Learning Engineers
- Senior AI/ML Engineers
- Machine Learning Technical Leads
- AI Technical Leads
- AI/ML Architects
In addition, searches can be customized according to programming expertise, ML frameworks, model development experience, cloud exposure, seniority, notice period, and work arrangement.
Building an AI team in Bangalore? Share your AI/ML use case, technology stack, required experience, number of positions, and preferred joining timeline with Cybotrix Technologies.
AI/ML Hiring Based on Your Project Requirements
The term AI/ML Engineer can represent very different technical profiles. For example, one company may need professionals to build recommendation systems, while another may require engineers for generative AI applications, NLP, computer vision, or predictive models.
Therefore, we begin by understanding what the client expects the engineer to build, improve, or deploy.
Requirements can then be structured around programming languages, machine learning frameworks, model development, data processing, APIs, cloud services, and production deployment.
As a result, candidate searches can remain closely aligned with the actual AI initiative.
IT Staffing Rate Card in India – 2026
Cybotrix Technologies provides flexible IT contract staffing and permanent recruitment services in India. Our indicative hiring rate card covers software development, cloud, DevOps, data engineering, AI/ML, cybersecurity and QA automation professionals.
Contract Staffing – Monthly Billing Rates
| IT Professional / Role | 2–4 Years | 5–7 Years | 8–12 Years |
|---|---|---|---|
| Software Development | |||
| Java Developer | ₹1.0–1.5 L | ₹1.6–2.3 L | ₹2.4–3.5 L |
| Python Developer | ₹1.0–1.5 L | ₹1.6–2.4 L | ₹2.5–3.5 L |
| Full Stack Developer | ₹1.1–1.7 L | ₹1.8–2.6 L | ₹2.7–3.8 L |
| .NET Developer | ₹1.0–1.5 L | ₹1.6–2.3 L | ₹2.4–3.5 L |
| React JS Developer | ₹1.0–1.6 L | ₹1.7–2.5 L | ₹2.6–3.6 L |
| Angular Developer | ₹1.0–1.6 L | ₹1.7–2.5 L | ₹2.6–3.6 L |
| Node.js Developer | ₹1.1–1.7 L | ₹1.8–2.6 L | ₹2.7–3.8 L |
| MERN Stack Developer | ₹1.1–1.7 L | ₹1.8–2.6 L | ₹2.7–3.8 L |
| Backend Developer | ₹1.1–1.7 L | ₹1.8–2.7 L | ₹2.8–4.0 L |
| Mobile App Developer | ₹1.0–1.7 L | ₹1.8–2.6 L | ₹2.7–3.8 L |
| Cloud, DevOps & Infrastructure | |||
| DevOps Engineer | ₹1.2–1.8 L | ₹1.9–2.8 L | ₹2.9–4.0 L |
| AWS Cloud Engineer | ₹1.2–1.8 L | ₹1.9–2.7 L | ₹2.8–4.0 L |
| Azure Cloud Engineer | ₹1.2–1.8 L | ₹1.9–2.7 L | ₹2.8–4.0 L |
| GCP Engineer | ₹1.3–2.0 L | ₹2.1–3.0 L | ₹3.1–4.3 L |
| Site Reliability Engineer (SRE) | ₹1.4–2.1 L | ₹2.2–3.2 L | ₹3.3–4.6 L |
| Kubernetes Engineer | ₹1.3–2.0 L | ₹2.1–3.0 L | ₹3.1–4.4 L |
| Cloud Architect | ₹1.8–2.7 L | ₹2.8–4.0 L | ₹4.1–5.8 L |
| Linux Administrator | ₹0.7–1.2 L | ₹1.3–1.9 L | ₹2.0–2.8 L |
| Data Engineering, Analytics & AI | |||
| Data Engineer | ₹1.2–1.9 L | ₹2.0–2.9 L | ₹3.0–4.2 L |
| Big Data Engineer | ₹1.3–2.0 L | ₹2.1–3.1 L | ₹3.2–4.5 L |
| Data Scientist | ₹1.3–2.1 L | ₹2.2–3.3 L | ₹3.4–4.8 L |
| Data Analyst | ₹0.8–1.3 L | ₹1.4–2.1 L | ₹2.2–3.0 L |
| Power BI Developer | ₹0.9–1.5 L | ₹1.6–2.3 L | ₹2.4–3.3 L |
| ETL Developer | ₹1.0–1.6 L | ₹1.7–2.5 L | ₹2.6–3.6 L |
| AI/ML Engineer | ₹1.4–2.2 L | ₹2.3–3.5 L | ₹3.6–5.0 L |
| Generative AI Engineer | ₹1.6–2.5 L | ₹2.6–3.9 L | ₹4.0–5.8 L |
| LLM / NLP Engineer | ₹1.5–2.4 L | ₹2.5–3.7 L | ₹3.8–5.5 L |
| MLOps Engineer | ₹1.5–2.3 L | ₹2.4–3.5 L | ₹3.6–5.0 L |
| Cybersecurity | |||
| Cybersecurity Engineer | ₹1.2–1.9 L | ₹2.0–3.0 L | ₹3.1–4.5 L |
| SOC Analyst | ₹0.8–1.3 L | ₹1.4–2.1 L | ₹2.2–3.2 L |
| Security Analyst | ₹1.0–1.6 L | ₹1.7–2.5 L | ₹2.6–3.8 L |
| Penetration Tester | ₹1.1–1.8 L | ₹1.9–2.8 L | ₹2.9–4.1 L |
| Cloud Security Engineer | ₹1.4–2.2 L | ₹2.3–3.4 L | ₹3.5–4.9 L |
| DevSecOps Engineer | ₹1.4–2.2 L | ₹2.3–3.4 L | ₹3.5–5.0 L |
| Software Testing & QA | |||
| QA Automation Engineer | ₹0.9–1.4 L | ₹1.5–2.2 L | ₹2.3–3.2 L |
| Manual Tester | ₹0.6–1.0 L | ₹1.1–1.6 L | ₹1.7–2.5 L |
| SDET Engineer | ₹1.1–1.7 L | ₹1.8–2.7 L | ₹2.8–4.0 L |
| API Automation Tester | ₹1.0–1.6 L | ₹1.7–2.5 L | ₹2.6–3.6 L |
| Performance Test Engineer | ₹1.1–1.7 L | ₹1.8–2.6 L | ₹2.7–3.8 L |
| ERP & Enterprise Applications | |||
| SAP ABAP Developer | ₹1.1–1.7 L | ₹1.8–2.7 L | ₹2.8–4.0 L |
| SAP FICO Consultant | ₹1.3–2.0 L | ₹2.1–3.1 L | ₹3.2–4.6 L |
| Salesforce Developer | ₹1.2–1.9 L | ₹2.0–3.0 L | ₹3.1–4.4 L |
| ServiceNow Developer | ₹1.3–2.0 L | ₹2.1–3.1 L | ₹3.2–4.5 L |
| Workday HCM Consultant | ₹1.5–2.3 L | ₹2.4–3.5 L | ₹3.6–5.0 L |
| Product, Business Analysis & Design | |||
| Business Analyst | ₹0.9–1.5 L | ₹1.6–2.4 L | ₹2.5–3.6 L |
| Product Manager | ₹1.4–2.2 L | ₹2.3–3.4 L | ₹3.5–5.0 L |
| Scrum Master | ₹1.2–1.8 L | ₹1.9–2.8 L | ₹2.9–4.0 L |
| UI/UX Designer | ₹0.9–1.5 L | ₹1.6–2.5 L | ₹2.6–3.7 L |
| UX Designer + UI Developer | ₹1.1–1.8 L | ₹1.9–2.9 L | ₹3.0–4.2 L |
Note: All rates are indicative monthly contract staffing billing estimates in INR. L = ₹1,00,000. GST is additional, where applicable. Actual pricing depends on candidate experience, technical expertise, hiring location, engagement duration and commercial agreement.
Permanent Recruitment – Placement Fees
| Hiring Category | Recruitment Fee |
|---|---|
| Junior IT Professionals (0–3 Years) | 8.33% of Annual CTC |
| Mid-Level IT Professionals (3–6 Years) | 8.33% of Annual CTC |
| Senior IT Professionals (6–10 Years) | 10% of Annual CTC |
| Technical Leads / Architects | 10–12% of Annual CTC |
| AI/ML, Cybersecurity & Cloud Specialists | 10–12% of Annual CTC |
Commercial Terms & Conditions
| Currency | Indian Rupees (INR) |
|---|---|
| Contract Staffing Billing | Monthly |
| Permanent Recruitment Fee | Percentage of Annual CTC |
| GST | 18% additional, where applicable |
| Payment Terms | 15–30 days from invoice |
| Candidate Replacement | 60–90 days for permanent hiring, subject to agreement |
| Rate Validity | 30 days |
| Volume Hiring | Negotiable |
Python and Machine Learning Skills
Python is widely used across machine learning and artificial intelligence projects. Consequently, many AI/ML requirements combine strong Python programming with practical model development experience.
Depending on the role, searches can include professionals familiar with:
- Python
- NumPy
- Pandas
- Scikit-learn
- TensorFlow
- PyTorch
- Keras
- XGBoost
- Machine Learning Algorithms
- Feature Engineering
- Model Evaluation
- Model Optimization
Moreover, senior candidates may be expected to understand model selection, experimentation, performance evaluation, scalability, and production implementation.
Hire Generative AI Engineers
Generative AI is creating new opportunities for businesses to build intelligent applications, assistants, knowledge systems, automation tools, and AI-enabled product features.
Therefore, clients developing GenAI applications may require engineers experienced with:
- Large Language Models
- LLM Application Development
- Retrieval-Augmented Generation
- Vector Databases
- Embeddings
- Prompt Engineering
- Model APIs
- AI Agents
- Model Evaluation
- Python
- AI Application Integration
In addition, requirements may include frameworks and tools used to connect models with enterprise data, APIs, search systems, and existing applications.
However, every generative AI project has different architecture requirements. Therefore, searches can be aligned with the specific use case rather than simply looking for candidates with generic GenAI exposure.
Hire NLP Engineers
Natural Language Processing is used across conversational applications, document processing, search, classification, information extraction, and text analytics.
Consequently, NLP-focused searches can include professionals experienced with:
- Natural Language Processing
- Transformers
- Text Classification
- Named Entity Recognition
- Semantic Search
- Embeddings
- Language Models
- Information Extraction
- Python
- PyTorch or TensorFlow
Furthermore, senior requirements may include model architecture, experimentation, evaluation, production deployment, and optimization.
Hire Computer Vision Engineers
Companies building image- or video-based AI applications may require professionals with specialized computer vision expertise.
Depending on the project, candidate requirements can include:
- Computer Vision
- OpenCV
- Image Processing
- Object Detection
- Image Classification
- Image Segmentation
- Deep Learning
- CNN Architectures
- PyTorch
- TensorFlow
For example, computer vision engineers may work on manufacturing inspection, document processing, retail analytics, healthcare applications, security systems, or other image-based solutions.
Therefore, searches can be refined according to the type of visual data and business problem involved.
Deep Learning Expertise
Some AI projects require deeper neural network expertise beyond traditional machine learning.
In such cases, clients may need professionals with practical experience in deep learning architectures, model training, optimization, GPU environments, and large datasets.
Moreover, searches can include TensorFlow, PyTorch, neural networks, transformers, CNNs, and other relevant technologies.
As a result, candidate requirements can reflect the technical complexity of the AI system rather than simply years of experience.
AI/ML Engineers With Cloud Experience
Many machine learning applications eventually need to move from experimentation into scalable production environments. Therefore, cloud experience can become an important part of an AI/ML engineering position.
Depending on the project, searches can include experience with:
- AWS
- Microsoft Azure
- Google Cloud
- Amazon SageMaker
- Azure Machine Learning
- Google Vertex AI
- Cloud Storage
- Model APIs
- Containers
- Scalable Model Deployment
In addition, cloud knowledge can be useful when teams need to manage training workloads, model endpoints, storage, monitoring, and production infrastructure.
MLOps and Model Deployment Skills
Building an accurate model is only part of a production AI system. Consequently, organizations may require professionals who understand how models are deployed, monitored, versioned, and maintained.
Candidate searches can include exposure to:
- MLOps
- Model Deployment
- ML Pipelines
- Model Monitoring
- Docker
- Kubernetes
- MLflow
- CI/CD
- Model Versioning
- Experiment Tracking
- Cloud ML Platforms
Moreover, senior AI/ML engineers may need to collaborate closely with software, cloud, platform, and data teams.
Hire AI/ML Engineers by Experience Level
AI responsibilities can vary significantly according to experience. Therefore, Cybotrix Technologies helps clients structure searches around the level of technical ownership required.
Junior AI/ML Engineers
Junior professionals may support data preparation, model experimentation, feature engineering, testing, evaluation, and Python development.
Typically, clients may look for Python fundamentals, machine learning concepts, SQL, data processing, and familiarity with common ML libraries.
Mid-Level AI/ML Engineers
Mid-level engineers may independently build, evaluate, improve, and integrate machine learning models.
For example, requirements can include Python, Scikit-learn, TensorFlow or PyTorch, APIs, cloud platforms, and practical model deployment exposure.
Moreover, these professionals may contribute to production AI features and collaborate with software or data engineering teams.
Senior AI/ML Engineers
Senior professionals may take ownership of technically complex AI initiatives.
Therefore, searches can consider model architecture, experimentation, scalability, production deployment, optimization, cloud environments, technical decision-making, and mentoring capabilities.
AI/ML Leads and Architects
Larger AI initiatives may require professionals capable of guiding engineering teams and defining technical architecture.
In addition to AI expertise, these positions may involve technology selection, solution design, model strategy, production architecture, security considerations, stakeholder communication, and technical leadership.
AI/ML Talent for Different Business Use Cases
Organizations adopt artificial intelligence for different business objectives. Consequently, the right engineer depends heavily on the intended application.
Generative AI Applications: Search for engineers capable of building LLM-powered applications, RAG systems, AI assistants, enterprise knowledge solutions, and intelligent workflows.
Recommendation Systems: Hire machine learning professionals for personalization, ranking, product recommendations, and user-behavior modeling.
Predictive Analytics: Find engineers capable of building models for forecasting, risk assessment, demand prediction, and other predictive use cases.
Natural Language Processing: Search for specialists working on text analytics, classification, search, extraction, and conversational applications.
Computer Vision: Hire engineers for image recognition, object detection, video analytics, document intelligence, and visual automation.
AI-Powered Automation: Identify professionals capable of integrating machine learning or generative AI into business processes and software applications.
Permanent and Contract AI/ML Hiring
AI initiatives may require long-term internal capability or specialized expertise for a particular project. Therefore, Cybotrix Technologies supports clients with both permanent and suitable project-driven hiring requirements.
Permanent AI/ML Hiring
Organizations building internal AI capabilities can search for professionals based on programming expertise, ML frameworks, project experience, cloud knowledge, compensation expectations, notice period, and long-term role suitability.
Moreover, permanent searches can cover individual contributors through senior technical leadership.
Contract AI/ML Requirements
Companies may also need specialized AI professionals during proof-of-concept development, product launches, model implementation, platform modernization, or temporary capacity expansion.
In such cases, candidate searches can be aligned with the project scope, technical requirements, experience level, and expected engagement period.
Why Clients Work With Cybotrix Technologies for AI/ML Hiring
Artificial intelligence is a broad technology domain. Therefore, searching only for candidates with “AI Engineer” in their title may not provide the right technical match.
For example, a computer vision specialist may have a very different background from a Generative AI Engineer building LLM applications. Similarly, a machine learning professional focused on model research may not have the production engineering experience required for an AI-enabled software product.
Consequently, our searches can consider:
- Python expertise
- Machine learning frameworks
- AI/ML use-case experience
- Generative AI knowledge
- NLP or computer vision expertise
- Deep learning experience
- Model deployment
- MLOps exposure
- Cloud ML platforms
- Relevant project background
- Experience level
- Notice period
- Compensation expectations
- Bangalore work location
- Onsite, hybrid, or eligible remote requirements
As a result, candidate sourcing can remain closely connected to the client’s actual AI requirements.
Hire AI/ML Talent Across Bangalore
Bangalore has a broad technology ecosystem covering software products, SaaS, enterprise technology, cloud platforms, analytics, AI research, and digital engineering.
Therefore, Cybotrix Technologies can help clients search for AI/ML professionals across major Bangalore technology locations, including Whitefield, Electronic City, Bellandur, Marathahalli, HSR Layout, Koramangala, Outer Ring Road, Manyata Tech Park, Hebbal, and Sarjapur Road.
In addition, searches can be structured around onsite, hybrid, and eligible remote working arrangements.
Whether your organization needs one machine learning specialist or several professionals for a larger AI initiative, we can align the search with your technology stack, use case, experience requirements, and hiring timeline.
Start Hiring AI/ML Engineers in Bangalore
The right AI professional should match the problem your organization is trying to solve. Therefore, programming skills, machine learning knowledge, framework experience, model deployment capabilities, cloud exposure, and relevant project experience should all be considered during candidate evaluation.
Cybotrix Technologies helps clients hire AI/ML Engineers in Bangalore for machine learning, generative AI, NLP, computer vision, deep learning, MLOps, and AI-enabled application development.
Moreover, hiring requirements can be customized according to specialization, seniority, project scope, work arrangement, and expected joining timeline.
Share your AI/ML use case, required technology stack, experience range, number of openings, Bangalore work location, and preferred joining timeline with Cybotrix Technologies to begin a focused candidate search.
Frequently Asked Questions
Can you help us hire AI/ML Engineers in Bangalore?
Yes. Cybotrix Technologies helps clients search for AI and machine learning professionals across junior, mid-level, senior, lead, and architecture positions. Moreover, searches can be customized according to the client’s specific AI use case.
Can you help us hire Generative AI Engineers?
Yes. Requirements can include LLM application development, RAG, embeddings, vector databases, AI agents, model APIs, Python, and related generative AI technologies.
Can you help us hire Machine Learning Engineers?
Yes. Candidate searches can include Python, Scikit-learn, TensorFlow, PyTorch, feature engineering, model development, evaluation, optimization, and deployment experience.
Can you source NLP and Computer Vision Engineers?
Yes. Depending on the requirement, searches can focus specifically on NLP, language models, transformers, computer vision, OpenCV, image processing, or deep learning expertise.
Can you help us find AI/ML Engineers with cloud experience?
Yes. Candidate requirements can include AWS, Azure, Google Cloud, SageMaker, Azure Machine Learning, Vertex AI, containers, and scalable model deployment.
Can you help us hire senior AI/ML professionals?
Yes. Senior searches can focus on professionals with experience in AI architecture, model development, production deployment, optimization, cloud platforms, technical leadership, and complex AI initiatives.
Do you support permanent and contract AI/ML requirements?
Yes. Cybotrix Technologies can support clients with permanent positions as well as suitable contract and project-driven AI/ML requirements.