Hire Dedicated AI/ML Developers
Engineers with 5+ years of experience building speech AI, NLP, predictive analytics, and conversational AI for VoIP and enterprise applications. Production-ready AI talent, ready in one week.
Deep AI & Machine Learning Skills
Our AI engineers specialize in building intelligent systems for telecom, VoIP, and enterprise applications, not generic chatbots.
Speech & Voice AI
Speech-to-text, text-to-speech, voice cloning, speaker diarization, and real-time transcription engines optimized for contact center environments.
Natural Language Processing
Intent recognition, entity extraction, conversational AI, chatbot development, and multilingual text understanding for customer support automation.
Predictive Analytics
Customer churn prediction, call volume forecasting, lead scoring, agent performance modeling, and demand planning using time-series and ML models.
Sentiment & Emotion Analysis
Real-time sentiment detection on voice and text channels. Emotion classification, tone analysis, and customer satisfaction scoring during live calls.
Conversational AI & Chatbots
AI-powered virtual agents, IVR automation, intelligent call routing, FAQ bots, and omnichannel conversational interfaces using LLMs and RAG pipelines.
MLOps & Model Deployment
End-to-end ML pipelines, model training infrastructure, A/B testing frameworks, monitoring, auto-scaling, and production deployment on cloud or on-premise.
AI That Solves Real Business Problems
Our AI/ML engineers do not just build models. They build solutions that drive measurable business outcomes in production.
Contact Center Intelligence
Real-time call transcription, agent assist, auto-disposition, call summarization, and quality assurance scoring powered by AI.
VoIP & Telecom AI
Intelligent call routing, fraud detection, network anomaly detection, predictive maintenance, and automated billing dispute resolution.
Business Intelligence
AI-driven dashboards, automated report generation, KPI anomaly detection, and natural language querying of business data.
Multilingual Solutions
Real-time translation for voice and chat, multilingual sentiment analysis, and cross-language customer support automation.
Technologies Our AI Engineers Master
From cutting-edge LLMs to battle-tested ML frameworks, our engineers are proficient across the entire AI/ML technology stack.
ML Frameworks
4 technologies
LLMs & NLP
4 technologies
Speech & Audio
4 technologies
Data & Pipelines
4 technologies
MLOps & Deploy
4 technologies
Cloud & Infra
4 technologies
Plus custom model architectures, proprietary datasets, and domain-specific tooling tailored to your project.
How Hiring Works
From your first call to an AI engineer training models for your project, the entire process takes just 1-2 weeks.
Requirement Understanding
1-2 DaysShare your AI/ML project goals, data landscape, and business objectives. Our team conducts a deep-dive discovery session to map the right expertise.
Resource Recommendation
1-2 DaysWe handpick AI/ML engineers from our team whose specialization aligns perfectly with your project, whether it is NLP, computer vision, or MLOps.
Profile Sharing
1 DayReceive detailed developer profiles with their AI/ML project history, model architectures they have built, research contributions, and certifications.
Technical Interview
FlexibleConduct an online interview to evaluate their ML system design thinking, coding skills, model optimization knowledge, and communication ability.
Finalization
1-2 DaysSelect your preferred AI/ML engineer(s). We finalize the engagement model, data access protocols, working hours, and reporting cadence.
Contract Signing
1-2 DaysA transparent contract covering scope, IP ownership, data confidentiality (NDA), model ownership rights, and payment terms. Zero hidden clauses.
1 Month Advance Payment
ImmediateA one-month advance secures your dedicated AI/ML resource. Covers the first month with clear milestones, deliverables, and model benchmarks.
Developer Onboarding
1 WeekYour AI/ML engineer is set up within one week. They get access to your data pipelines, join your standups, and start building from day one.
Total Time: 1-2 Weeks
From initial discussion to your AI engineer building the first model prototype for your project.
Choose Your Engagement Model
Whether you need a single AI specialist or a full machine learning squad, we have a model that fits your project and budget.
Dedicated AI Engineer
Full-Time Resource
A dedicated AI/ML engineer working exclusively on your project, 8 hours/day, 5 days/week. Fully embedded in your team.
- 160 hours/month guaranteed
- Works in your timezone
- Joins your daily standups
- Direct Slack/Teams communication
- Weekly model performance reports
- Follows your HR policies
Part-Time AI Engineer
Flexible Hours
A skilled AI/ML engineer available part-time for model maintenance, optimization, retraining, or advisory consulting.
- 80 hours/month
- Flexible scheduling
- Async communication
- Bi-weekly model reviews
- Task-based milestone tracking
- Scale up anytime
AI Team Augmentation
Full AI Squad
Build a complete AI team: ML engineers, data engineers, MLOps specialists, and a project lead to deliver end-to-end AI solutions.
- Custom team composition
- ML lead included
- Agile/Scrum methodology
- Dedicated data engineering
- MLOps & deployment support
- Volume pricing available
Why Hire AI Talent From AnrizVoIP?
We are not a generic staffing firm. We are a VoIP product company with an in-house AI team. The engineers we offer build production AI systems every day.
Telecom-Native AI Expertise
Our AI engineers build models specifically for VoIP and contact centers. They understand call data, SIP protocols, and real-time audio processing at a deep level.
Full-Stack AI Capabilities
From data preprocessing to model deployment and monitoring. Our engineers handle the entire ML lifecycle without needing additional hires.
Production-Proven Models
Every model our engineers build runs in production on the AnrizVoIP platform, processing thousands of calls daily across 12 countries.
1 Week to Productivity
No months of onboarding. Your AI/ML engineer is set up, has data access, and begins delivering model prototypes within the first week.
Timezone Flexibility
Our engineers work across multiple timezones. Your AI developer operates during your business hours for real-time collaboration.
Your Rules, Our Talent
Hired developers follow your company HR policies, attend your standups, use your tools, and report directly to your team leads.
How Your AI Engineer Integrates
Your hired AI/ML developer becomes a seamless extension of your team, following your processes and delivering results on your schedule.
Your Working Hours
The AI engineer works during your business hours, ensuring real-time collaboration on model reviews, data discussions, and sprint planning.
Your Communication Tools
Slack, Teams, Jira, GitHub, Notion, or any tools your team uses. The engineer adapts to your existing workflow and documentation practices.
Your Standups & Meetings
Joins daily standups, sprint planning, model review sessions, and retrospectives. Stays aligned with your team priorities.
Your HR Policies
Leave requests, time tracking, and conduct follow your company rules. We handle payroll, you manage the work and direction.
Weekly Model Reports
Receive weekly reports with model performance metrics, training progress, experiments completed, and plans for the upcoming sprint.
Direct Access
No account managers in between. Communicate directly with your AI engineer for faster iteration cycles and zero communication lag.
Frequently Asked Questions
Common questions about hiring dedicated AI/ML developers from AnrizVoIP.
The minimum engagement period is 3 months. AI/ML projects require time for data understanding, model development, iteration, and production deployment. After the initial period, you can continue month-to-month.
Absolutely. We strongly encourage technical interviews. You can evaluate their ML system design skills, review their past model architectures, conduct a live coding session, and assess their ability to communicate complex AI concepts clearly.
Our engineers specialize in PyTorch, TensorFlow, Hugging Face Transformers, LangChain, OpenAI/Claude APIs, Whisper, Deepgram, scikit-learn, Apache Spark, MLflow, and Kubernetes-based ML deployment. They have deep expertise in speech AI, NLP, predictive analytics, and conversational AI for telecom.
Yes, this is our core strength. Our AI/ML engineers work daily with call recordings, CDR data, SIP metadata, and real-time audio streams on the AnrizVoIP platform. They understand the unique challenges of telecom AI, including latency requirements, noise handling, and real-time processing constraints.
Yes. Once assigned to your project, the AI/ML engineer operates according to your company HR policies, including working hours, leave policies, communication protocols, and reporting structures. They function as an extension of your in-house team.
From the initial requirement discussion to developer onboarding, the entire process typically takes 1-2 weeks. Once the contract is signed and payment received, the engineer is set up within one week with access to your data, tools, and repositories.
Yes. You can start with a single AI/ML engineer and scale to a full squad including data engineers, MLOps specialists, and a project lead. We offer team augmentation packages with volume pricing. Scaling typically takes 1-2 weeks per additional resource.
Your satisfaction is our priority. If the AI/ML engineer does not meet your expectations within the first two weeks, we replace them with another qualified resource at no additional cost. We maintain a bench of experienced engineers to ensure seamless transitions.
All models, code, training pipelines, and deliverables produced by our developers belong entirely to you. We sign comprehensive NDAs and IP assignment agreements before the engagement begins. Your proprietary data and models are fully protected.
We require a one-month advance payment to begin the engagement. Subsequent payments are due at the beginning of each month. We accept bank transfers, PayPal, and major credit cards. Detailed invoices with timesheet breakdowns are provided monthly.
Ready to Hire an AI/ML Expert?
Tell us your requirements and get a skilled, dedicated AI/ML engineer working on your project within one week.