Everincodeh

Digitize your business with an IT solutions partner.

Hire MLOps Engineers to Automate and Scale ML Workflows

Deploy models faster, ensure reproducibility, and monitor performance in production with expert MLOps talent. Flexible hiring models tailored to your AI/ML projects.

Your MLOps Partner in Production-Ready AI

Our MLOps engineers bring DevOps discipline to data science. They help you move from notebooks to real-world impact with pipelines, CI/CD, and observability.

  • Cloud-Native Pipelines: Deploy reproducible training & serving on AWS, GCP, or Azure.
  • Version Control for Models & Data: Track experiments, roll back safely, ensure integrity.
  • Collaborative by Default: Agile workflows, clear documentation, and cross-team fluency.
  • DevOps-Ready Mindset: Infrastructure-as-code, testing pipelines, auto-scaling clusters.

Tech Stack Expertise

MLflowMLflow
KubeflowKubeflow
DVCDVC
AirflowAirflow
AWS SageMakerAWS SageMaker
DockerDocker
KubernetesKubernetes
TerraformTerraform
90% of our MLOps engineers have deployed ML pipelines at scale in production environments.

Our MLOps Experts

Sample anonymized profiles showcasing the caliber of our MLOps Engineers. Full CVs are shared upon engagement.

MLOps Engineer πŸ€– β€’ 4+ yrs

Skills:

  • Python
  • Docker
  • Kubernetes
  • CI/CD
  • ML Pipelines

Highlights:

  • Deployed machine learning models to production with automation
  • Built scalable and reproducible ML pipelines

ML Deployment Engineer ☁️ β€’ 3+ yrs

Skills:

  • AWS SageMaker
  • GCP AI Platform
  • Terraform
  • Monitoring

Highlights:

  • Managed cloud-based ML deployments and model lifecycle
  • Monitored model performance and ensured reliability in production

Data & ML Infrastructure Engineer πŸ—„οΈ β€’ 5+ yrs

Skills:

  • Kubeflow
  • MLflow
  • Airflow
  • Docker
  • Kubernetes

Highlights:

  • Designed infrastructure for scalable ML workflows and experiments
  • Automated data pipelines and ML model retraining

Why Hire MLOps Engineers From Us?

Expert MLOps Engineers

Our MLOps Engineers specialize in ML model deployment, CI/CD pipelines for ML, containerization (Docker, Kubernetes), model monitoring, and platforms like MLflow, Kubeflow, and SageMaker to ensure reliable production-ready ML systems.

Rapid Onboarding

Get curated MLOps engineer profiles in under 48 hours and onboard them within days to accelerate the productionization of your ML projects.

Flexible Engagement

Hire hourly, part-time, or full-time. From building reproducible ML pipelines to managing large-scale training jobs and optimizing inference, we adapt to your project needs.

End-to-End Support

We ensure smooth collaboration between your Data Science, DevOps, and Engineering teams. From onboarding to deployment and monitoring, we stay with you every step of the way.

Your Satisfaction Guaranteed

If you’re not satisfied with your assigned developer, we’ll replace them within 7 days β€” at no additional cost. Our goal is to ensure you always work with talent that aligns with your project needs and business goals.

With our flexible engagement models and dedicated support, you can scale your team confidently knowing that you’re backed by a trusted partner. Your success is our priority.

Learn more about our process β†’
Illustration showing developer satisfaction guarantee

MLOps Services We Offer

We empower data science teams with end-to-end MLOps practices, from automated pipelines to monitoring and scaling. Our solutions ensure models are deployed reliably, maintained efficiently, and optimized for performance, helping organizations achieve faster, safer, and more impactful machine learning operations.

Model Deployment Pipelines

We build automated CI/CD pipelines for deploying machine learning models using MLflow, SageMaker, or Vertex AI. Our pipelines ensure reproducibility, seamless updates, and minimal downtime, enabling organizations to deploy robust models into production efficiently and confidently at scale.

Experiment Tracking

Our solutions enable detailed experiment tracking with version control for models, datasets, metrics, and artifacts. Teams can monitor progress, reproduce results, and collaborate effectively, reducing errors and accelerating the development lifecycle from experimentation to deployment.

Feature Store Integration

We design and implement feature stores to standardize, store, and reuse features across teams. This ensures consistency, reduces redundant computations, and accelerates model development, enabling organizations to leverage reliable, production-ready features for faster, high-quality ML model deployment.

Monitoring & Alerting

Our monitoring solutions track model performance, data drift, latency, and failures using tools like Prometheus and EvidentlyAI. Automated alerts and dashboards help teams maintain high reliability, detect anomalies early, and take corrective actions to ensure production models run smoothly and accurately.

Infrastructure-as-Code

We implement Infrastructure-as-Code using Terraform, Pulumi, and Helm to automate provisioning of ML infrastructure. This approach ensures reproducibility, scalability, and consistency, enabling teams to manage complex environments reliably while reducing human error and deployment overhead.

Containerization & Orchestration

We containerize models with Docker and orchestrate deployments using Kubernetes or Argo. This ensures scalable, resilient, and portable ML workflows, allowing teams to efficiently deploy, manage, and scale models across cloud and on-prem environments without compromising performance or reliability.

Data Pipeline Integration

Our services integrate ML models with robust data pipelines using Airflow, Kafka, or Dataflow. This enables seamless ingestion, transformation, and delivery of data, ensuring that models receive timely, accurate inputs to generate actionable predictions and insights in production environments.

Performance Tuning & Profiling

We optimize model performance through profiling, tuning, and resource management. By improving throughput, reducing latency, and enhancing efficiency, our solutions ensure both online and offline models deliver high-quality predictions while maintaining cost-effective and scalable operations.

Industries We Empower

We build technology solutions that help businesses innovate, scale, and transform β€” powered by deep domain expertise and agile engineering.

HealthTech

HealthTech

Transforming healthcare with secure, AI-powered digital platforms that improve patient outcomes, optimize workflows, and enable telemedicine and health data management.

FinTech

FinTech

Developing robust financial technology solutions for payments, digital banking, lending, and analytics, ensuring compliance, security, and seamless user experiences.

EdTech

EdTech

Creating interactive e-learning platforms, LMS, and virtual classrooms that enhance digital education, personalized learning, and student engagement worldwide.

TravelTech

TravelTech

Building innovative travel booking and management systems that deliver smooth, secure, and personalized experiences for travelers, agencies, and enterprises.

RetailTech

RetailTech

Empowering retail businesses with advanced eCommerce, POS, and inventory solutions to increase efficiency, customer engagement, and omnichannel growth.

LogiTech

LogiTech

Optimizing supply chains with smart logistics, warehouse management, and real-time delivery tracking software for improved efficiency and operational accuracy.

PropTech

PropTech

Revolutionizing real estate through property management platforms, listing portals, and digital solutions that streamline operations and enhance client engagement.

AutoTech

AutoTech

Innovating automotive technology with connected car solutions, predictive maintenance, IoT integration, and smart mobility platforms for next-gen vehicles.

GreenTech

GreenTech

Driving sustainability with environmental software solutions for clean energy, smart agriculture, and eco-friendly infrastructure, helping businesses achieve green goals.

Engagement Models

At Everincodeh, we understand that every business has different needs β€” so we offer flexible engagement options to suit your project requirements and budget.

Full-Time Developers

Dedicated 40 hrs/week engineers aligned with your timezone and long-term goals. Ideal for scaling product teams.

Part-Time Developers

Hire developers for 15–20 hrs/week to support smaller projects, maintenance work, or integrations.

Hourly Engagement

Pay-as-you-go model β€” perfect for short-term tasks, quick fixes, or overflow support from our experts.

Project-Based Delivery

End-to-end delivery of MVPs or modules with fixed timelines and outcomes. Managed by our delivery team.

No matter which model you choose, all our developers are on Everincodeh’s payroll β€” so you avoid the hassle of contracts, HR, taxes, or compliance. We handle the backend β€” you focus on building great software.

Flexible Pricing. Transparent Value.

No hidden fees or lock-insβ€”just expert MLOps Engineers ensuring reliable, scalable ML deployments.

Deploy and manage ML models efficiently

Mid-Level MLOps Engineer

Full-time Β· 160 hrs/month

$3,500 – $5,000
  • β€’ Scale up/down with 15-day notice
  • β€’ Exclusive focus on your roadmap
  • β€’ Billing weekly or monthly
Lead ML infrastructure, pipelines & CI/CD for ML

Senior MLOps Engineer

Full-time Β· 160 hrs/month

$5,500 – $8,000
  • β€’ Scale up/down with 15-day notice
  • β€’ Exclusive focus on your roadmap
  • β€’ Billing weekly or monthly
Tailored MLOps teams for your AI/ML projects

Custom MLOps Team

Team extension / project basis

Custom Quote
  • β€’ Scale up/down with 15-day notice
  • β€’ Exclusive focus on your roadmap
  • β€’ Billing weekly or monthly

Rates vary by complexity, duration, and tech stack.

MLOps Solutions Ensuring Reliable ML in Production

Case studies demonstrating automated deployment, monitoring, and scalable ML pipelines.

Automated Model Deployment

Client: US HealthTech Startup

Challenge: Manual deployment causing delays and errors in ML models

Solution: Implemented CI/CD pipelines for ML models with Docker and Kubernetes

80% faster
Deployment Time
90% fewer
Deployment Errors
πŸ” Anonymized to respect confidentiality. References on request.

Monitoring ML Models in Production

Client: Global E-commerce Platform

Challenge: Model drift leading to inaccurate predictions over time

Solution: Set up real-time model monitoring, logging, and alerting system

4Γ— faster
Detection of Drift
Maintained 98%
Prediction Accuracy
πŸ” Anonymized to respect confidentiality. References on request.

Scalable ML Pipelines

Client: European FinTech Startup

Challenge: Resource-intensive pipelines slowing down training and inference

Solution: Built scalable ML pipelines using Airflow, Kubeflow, and cloud GPU instances

50% faster
Pipeline Runtime
30% optimized
Resource Utilization
πŸ” Anonymized to respect confidentiality. References on request.

Your Data. Your IP. 100% Protected.

As a global software partner, we follow strict security and compliance standards so you can confidently build with us. Every project comes with enterprise-grade legal and technical safeguards.

NDA & IP Transfer Agreements

Every engagement starts with legal protection β€” NDAs and IP transfer agreements signed before onboarding.

Full IP Ownership

You retain 100% ownership of all code, models, and assets delivered by our developers.

GDPR & Global Compliance

Processes aligned with GDPR and CCPA ensure data security for EU and US clients.

Enterprise-Grade Security

Encrypted communications, hardened infrastructure, and secure version control systems.

Role-Based Access

Strict role-based permissions and periodic security audits to minimize risks.

ISO-Aligned Data Handling

Policies modeled after ISO 27001 standards to ensure enterprise-grade trust.

Data security and compliance illustration

Seamless Collaboration Across Time Zones 🌍

Daily standups, shared tools, and guaranteed overlaps β€” remote collaboration that feels as natural as working side-by-side.

Guaranteed working overlap
PSTESTCETGMT

Time Zone Coverage

  • 4+ hours guaranteed overlap (PST, EST, CET, GMT)
  • Flexible hours for full-day alignment when needed
  • Standups scheduled in your preferred window

Communication & Reporting

  • Slack / Microsoft Teams for daily updates πŸ’¬
  • Jira / Trello / ClickUp for sprint tracking πŸ“Š
  • Zoom / Google Meet for syncs πŸŽ₯
  • Agile/Scrum ceremonies built into workflow

4-Step Process to Hire Expert talents from Everincodeh

01 β€” Share Your Requirements

Tell us what you need, your technology, and your project goals. We’ll match you with the right talents.

02 β€” Interview talentss

Talk to pre-vetted talentss who fit your project and team. Pick the ones you want to work with.

03 β€” Try Before You Commit

Start with a trial period to check their skills, communication, and fit with your team.

04 β€” Onboard & Scale

Once you’re happy, your talents starts immediately. Easily scale your team as your project grows.

Why Global Enterprises Trust Everincodeh’s Dedicated Developers

Backed by proven expertise, industry recognition, and an impeccable record of delivery.

32+

Projects Delivered

15+

In-house Engineers

7+

Years of Excellence

65%

Repeat Clients & Referrals

🌍 Recognized as the #12 AI (Artificial Intelligence) company on F6S for February 2025

Recognized by Industry Leaders Worldwide

Our excellence is acknowledged globally through prestigious certifications, awards, and trusted industry platforms.

What Our Clients Say

Hear directly from companies who scaled successfully with our developers.

Everincodeh ramped up our development capacity in less than a week. Their React and Node.js engineers blended seamlessly with our in-house team β€” highly skilled, professional, and perfectly time-zone aligned.

β€” Emily R., CTO, Fintech Startup (Germany)

We’ve worked with three Everincodeh developers, and each has been dependable, fluent in Agile practices, and quick to deliver results. Their transparent pricing and flexible engagement models make them an ideal staff-augmentation partner.

β€” David M., Product Owner, SaaS Platform (USA)

Our Flutter app was built and launched with Everincodeh’s team in record time. Communication was excellent, collaboration smooth, and we always had full visibility throughout the project.

β€” Anna B., Head of Tech, E-commerce Brand (UK)

Everincodeh’s team delivered more than we expected. Great communication, fast development, and highly professional.

β€” Mark L., Founder, SaaS Startup (Canada)

Everincodeh ramped up our development capacity in less than a week. Their React and Node.js engineers blended seamlessly with our in-house team β€” highly skilled, professional, and perfectly time-zone aligned.

β€” Emily R., CTO, Fintech Startup (Germany)

We’ve worked with three Everincodeh developers, and each has been dependable, fluent in Agile practices, and quick to deliver results. Their transparent pricing and flexible engagement models make them an ideal staff-augmentation partner.

β€” David M., Product Owner, SaaS Platform (USA)

Our Flutter app was built and launched with Everincodeh’s team in record time. Communication was excellent, collaboration smooth, and we always had full visibility throughout the project.

β€” Anna B., Head of Tech, E-commerce Brand (UK)

Everincodeh’s team delivered more than we expected. Great communication, fast development, and highly professional.

β€” Mark L., Founder, SaaS Startup (Canada)

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