Hire Expert AI
Engineers
As a leading tech staffing agency, DevProvider has an elite pool of AI engineers who are skilled in latest ML/DL techniques and can help you solve complex problems.
AI Development Services
Our AI engineering talent pool includes experts across a diverse range of AI disciplines,
Chatbots
Build intelligent, conversational chatbots to enhance customer support and engagement.
AlloyDB with PostgreSQL
Leverage the power of Google's AlloyDB, a fully managed PostgreSQL-compatible database service, for your AI-powered applications.
Image Recognition
Develop computer vision solutions for image and video analysis, object detection, and facial recognition.
Natural Language Processing
Create NLP-powered applications for language translation, sentiment analysis, and text generation.
Reinforcement Learning
Implement RL algorithms to build autonomous, self-learning systems for complex problem-solving.
Predictive Analytics
Design and deploy machine learning models for forecasting, anomaly detection, and data-driven decision making.
Success Stories
We have successfully delivered results for clients across industries by providing the best talent and expertise. Read below to learn how our work has impacted businesses.
Get a free consultation and Let’s discuss how a collaboration with DevProvider can help support your strategic technology initiatives.
What are the benefit that your team will get.
Our IT staff augmentation services seamlessly integrate pre-vetted AI developers into your existing team. Help in finding the right skills at the critical moment.
Excellence Assurance
Over 20 positive reviews and 7 top company Clutch Awards as a recognition of our quality and our commitment to the success of our clients.
Top Staff Augmentation Company
Top Software Developers Company
Top IT Services Company
Business Solution
Our full-stack AI Team builds customized solutions for your business
no matter which industry you operate in.
Health Care
Smart apps catering to the needs of healthcare service providers.
Travel & Tourism
Customized solutions to boost travel & tourism business.
Banking & Finance
Secure software solutions to meet the needs of banking and fintech companies.
Transport
Providing cutting-edge IT solutions tailored to your logistic business
eCommerce
Scalable B2B and B2C solutions to take your business to the next level.
Social Media
Innovative web solutions designed for media and entertainment domain.
Education
Custom eLearning solutions to meet the changing industry needs.
Construction
High-performing and cost-effective software development solutions.
Get a free consultation and Let’s discuss how a collaboration with DevProvider can help support your strategic technology initiatives.
User Guide for AI Development
Explore the fundamentals of Artificial Intelligence development, from basic to advanced concepts, in this comprehensive user guide for AI Developement.
Artificial Intelligence is rapidly changing how software is developed to solve complex problems. AI development involves applying techniques like machine learning, deep learning and natural language processing to create intelligent systems that can perceive, learn, reason and provide recommendations by learning from large amounts of data without being explicitly programmed.
here’s the point of AI project planning:
- Define business objectives and key metrics for success
- scope AI use cases with technical and domain experts
- Determine data availability, volume and reliability
- Set timeline and budget
AI frameworks provide ready libraries and APIs for building AI/ML models. The most popular ones are:
- TensorFlow: Open-source deep learning framework by Google
- PyTorch: Deep learning platform developed by Facebook
- Scikit-learn: General purpose ML library for Python
- Keras: High-level neural networks API for TensorFlow and PyTorch
The key benefits of AI development include:
- Automate complex decision making from large datasets
- Create intelligent applications like chatbots, image recognition etc.
- Gain actionable insights through analytics and prediction
- Enhance existing products with AI capabilities
While Python reigns as the predominant language, certain other tools are commonly used:
- Python: Most popular language with libraries like NumPy, Pandas
- R: For statistical computing and visualization
- MATLAB: For research with toolboxes like Deep Learning
- Jupyter Notebook: Interactive computing environment
- Anaconda: Python distribution for data science
As AI/ML algorithms are data-driven, security aspects require careful consideration:
- Mitigating bias and unfairness in models
- Adversarial attacks on models
- Data privacy and anonymization
- Model intellectual property
Several techniques help deploy AI/ML solutions efficiently:
- Hyperparameter tuning for more accurate results
- Distributed computing for faster model training
- Deploying models efficiently on mobile/edge devices
- Continuous retraining with new data
Being an inter-disciplinary area, AI draws from diverse knowledge communities and information resources:
- AI Conferences like NeurIPS, ICML
- Online courses on Coursera, Udacity for learning frameworks
- Research blogs, papers on arXiv, journals
- Kaggle for data science competitions
- GitHub for open-source libraries
Great Reviews
Our clients rave about the top-tier tech talents we provide, delivering outstanding results on their projects.
"They are very willing to assemble the team that we ask for if we have certain preferences. Their flexibility and responsiveness ensure that our unique needs are met promptly."
Program Manager
"Things that truly impressed me were their collaborative approach to team building, which fostered a strong sense of unity and creativity among team members."
CEO
"They understand and align with our preferences, making collaboration a breeze. Their proactive communication ensures that every project progresses smoothly and efficiently."
Managing Partner
Frequently Asked Questions
Here are some questions related to AI Engineering that our clients frequently ask
What skills should I prioritize when hiring for my AI project?
It depends on your specific needs. Core technical skills and strong programming fundamentals are key. Ask about frameworks, algorithms and domain experience relevant to your use case.
How do I evaluate candidates’ technical abilities?
Have them explain past projects, code samples and potential solutions for your problems. Online tests or take-home assignments check abilities. Interviews assess analytical and communication skills.
Can developers be hired on a temporary/contract basis?
Yes, we offer flexible staffing models like contract, project-based or dedicated teams based on your requirements and budget.
How do you ensure the security of our AI applications and data?
Security is a top priority for us. Our AI Engineers follow best practices for secure coding and adhere to industry standards. We implement measures such as data encryption, secure authentication, and regular security audits to ensure the safety of your applications and data.
What ongoing support and communication can we expect during the engagement?
We prioritize clear communication and regular updates. Throughout the engagement, you will have direct communication channels with our AI Engineers. Our project managers also ensure that you receive timely progress reports and are available to address any queries or concerns.
How is the quality of work ensured?
Our recruitment process is rigorous. Developers undergo assessments and references checks. Work is reviewed at each stage by project managers and QA teams ensure code quality.
Still have questions? We are here to help you! Contact Us or explore job opportunities as AI.