Trusted By Clients Worldwide

Verizon Bangkok Bank
Edward Jones Academy
Bridgestone Dubai Bazar
Franklin Templetion Children's Place
Container Store KPMG
Shell NatWest

Services Our MLops Engineers Offer

At Bacancy, we have a talented pool of MLOps engineers who are committed to delivering a comprehensive suite of MLOps services tailored to your unique machine learning project needs. Hire MLOps engineer with proficient knowledge and expertise in optimizing and streamlining your machine learning operations while maintaining a smoother ML lifecycle.

With the help of our well-experienced and vetted MLOps engineers, businesses can seamlessly design, develop, and maintain ML pipelines. We can help smoothen your entire machine-learning process, allowing you to handle input data and train and deploy ML models efficiently.

Our highly skilled and experienced MLOps engineers can set up the robust, scalable, and secure infrastructure required for your machine learning (ML) operations. We can help in the configuration of the essential hardware and software environments, allowing smoother data processing and maintaining ML models. We ensure you can efficiently deploy ML models according to your plan and objective by setting up a flexible and powerful ML infrastructure.

We understand how important continuous integration and continuous deployment (CI/CD) are in integrating and managing ML operations seamlessly. Our MLOps engineers utilize their experience, skill sets, and expertise to implement CI/CD pipelines and automate the testing and deployment processes for your ML models. With our CI/CD implementation services, you can accelerate time-to-market and development speed to achieve business growth.

Hire our MLOps engineers, and you will never have to worry about monitoring or keeping track of your ML models’ performance. We will continuously monitor how well your ML models perform in real-world environments and if they efficiently deliver the desired results. Our MLOps engineers can build exceptional monitoring systems to track ML models and optimize their performance to align with your business objectives.

We can help you with effective version control and tracking for machine learning models, especially when you work in a collaborative environment. Our MLOps engineers can manage various machine learning models efficiently to ensure your system's accuracy, reliability, and performance. Our vetted MLOps experts can implement version control systems to help you monitor changes and collaborate with other systems.

As you know, collaboration among different teams and departments is crucial for the successful optimization of MLOps processes. Our well-versed team of MLOps engineers can provide cross-functional collaboration while making sure that data scientists, developers, and operations teams work together in a way that aligns with your machine learning goals.

Our MLOps experts can craft robust security policies and procedures to ensure that your machine-learning models are developed, tested, and deployed in a secure environment. Data is the most sensitive part of ML models, which is why we can develop and implement powerful security measures to safeguard your data, ML models, and infrastructure. We also ensure that your ML operations and processes comply with industry and regulatory compliance standards.

Expertise of Our MLOps Engineers

Enterprises need to hire well-experienced MLOps engineer to streamline and automate their machine-learning processes and pipelines. Bacancy has a team of MLOps professionals with diverse skills spanning various domains and proficiency in using cutting-edge technologies to optimize ML operations.

Artificial Intelligence

Artificial Intelligence

With the help of our MLOps engineers, businesses can easily develop and implement AI-driven solutions to automate various business processes. We can help business owners integrate AI algorithms and models into their operations, enhancing their decision-making and predictive analytics capabilities. Our expertise in Artificial Intelligence can help automate repetitive, rule-based tasks and enhance customer interactions.

Machine Learning

Machine Learning

Machine Learning, as you know, is at the core of MLOps, and we have a talented pool of MLOps engineers who excel in this domain. We have the expertise, experience, and skillset to assist organizations in developing, deploying, and managing machine learning models, enabling CEOs/CTOs to make informed decisions based on the valuable insights extracted from varied data sources.

Software Engineering

Software Engineering

Our MLOps engineers have a strong software development background, which is why they can deliver world-class, robust, and scalable MLOps solutions. We can design and implement custom MLOps software solutions that support and streamline the entire ML lifecycle, from data preprocessing to model deployment.



We specialize in combining the potential of data science with DevOps practices to deliver customized solutions that can bridge the gap between development and operations teams. Our MLOps engineers can implement continuous integration and continuous deployment (CI/CD) pipelines and automate the ML model testing and deployment process. With our DevOps expertise, you can quickly and seamlessly release updates for your ML solutions.

Cloud Computing

Cloud Computing

Our MLOps engineers possess proficiency in leveraging cloud platforms to deliver highly scalable ML solutions. We have vetted MLOps engineers who are well-versed in cloud computing, allowing you to harness the power of cloud platforms, including AWS, Azure, and Google Cloud Platform. We can set and manage cloud-based infrastructure, allowing you to get the essential resources for scalable machine-learning operations.

Data Management

Data Management

Leverage our MLOps engineers’ expertise in collecting, storing, processing, and managing datasets extracted from various data sources. We can help you ensure data quality, allowing you to get the desired data insights to facilitate data-driven decision-making. We can ensure the scalable design and optimization of data pipelines for ML model training and testing.

Share Your Requirements with Our MLOps Engineer

We ensure you’re matched with the right talent resource based on your requirement.

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We accelerate the release of digital products and guarantee your success

We Use Slack, Jira & GitHub for Accurate Deployment and Effective Communication.

AI Tech Stack Our Dedicated AI Developers Use

Language Java Python C++ R Scala SQL
Machine Learning Platforms Azure Machine Learning Azure Cognitive Service Bot Framework Amazon SageMaker Theano Caffe MxNet Amazon Transcribe Google Cloud AI PlatformAmazon LexAmazon PolyApache AirflowKubeflow
MLOps Frameworks MAHOUTmxnetCaffeTensorFlowPyTorchKerasOpenCV
ML Libraries Apache Spark MLlib theano scikit learn GENSIM spaCy Autokeras
ML Model Training and Development PyTorch TensorFlow SciKit-Learn Kubernetes AWS Sagemaker
ML Model Deployment Lambda Seldon MLFlow Ray Nvidia Deepstream Kuberflow Kubernetes
Big Data Hadoop Apache Spark cassandra Apache Kafka HIVE Apache ZooKeeperApache HBASE
Data Visualization Power BIMicrosoft SQL ServerMicrosoft ExcelGoogle Developers CharttableauGrafanaChartist.jsMatplotlib
Data Processing DatabricksAzure Data FactoryNumpy
Performance and Monitoring Prometheus Grafana Kibana
Network Architectures Residual neural network (ResNet) YoloNet RetinaFace U-Net Neural Radiance Field (NeRF) Regression Models Clustering Algorithms

Optimizing Model Performance at Scale: MLOps Success Stories

Industries Our MLops Engineers Cater To

Our MLops Process

Why Choose Us To Hire MLops Engineer?

Bacancy is your trusted partner when you need to hire MLOps engineers who not only understand your ML requirements but also provide reliable, scalable, and powerful MLOps solutions that align with your business objectives. At Bacancy, you can find the best MLOps engineers with immense expertise in Machine Learning and MLOps.

Our MLOps experts are constantly evolving and adapting industry trends to stay at the forefront of MLOps technology. We leverage the latest tools, technologies, and best practices to deliver cutting-edge MLOps solutions that can upscale your organization to gain a competitive advantage. From strategy and design to the development and deployment of ML models, we offer end-to-end support for all your MLOps requirements.

Why Choose Us To Hire MLops Engineer?

Benefits you can avail of when you hire Bacancy’s MLOps engineer:

  • Agile development methodology
  • Premium code quality with accuracy
  • Skilled and experienced MLOps engineers
  • Excellent communication skills
  • Profound technical knowledge
  • 24x7 technical support
  • Daily/weekly/monthly reporting
  • Efficient collaboration
  • Flexible Hiring Models
  • Fully-signed NDA
  • Easy exit policy
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Fortune-500 Clients

Bacancy has helped Fortune 500 brands and leading companies across multiple industries and verticals to grow their business

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Publicis sapient
Warner Bros
Academy Sports Outdoors
The Middle East & Europe
Dubai Bazaar
Danube Home
Right Farm
Bangkok Bank

Frequently Asked Questions

Still have questions? Let’s talk

Our MLOps engineers have experience across various industries and domains, and they can help businesses by optimizing ML operations, streamlining processes, and automating numerous tasks. Our MLOps experts can also help ensure seamless ML model integration and provide valuable data insights that facilitate informed decision-making.

At Bacancy, our MLOps engineers can offer a wide array of services, including predictive maintenance, quality control, demand forecasting, autonomous production, and more. Apart from that, we can also help you with CI\CD implementation, performance monitoring, model training and deployment, and security management.

Yes, our MLOps engineers can work efficiently with the technology stack and systems your organization uses. Our clients hire our MLOps Engineers as per their project or business requirements. Our clients would not have to worry about anything as our MLOps engineers have immense experience in developing, testing, and integrating MLOps solutions into a variety of platforms and environments.

First of all, our MLOps experts will begin the assessment process to assess your existing ML infrastructure and look for the improvement gaps. Based on our assessment and analysis, we will design, optimize, and implement data pipelines, craft and deploy ML models, and implement accurate monitoring systems to ensure ML models deliver optimal performance. Our MLOps engineers also utilize MLOps best practices to enhance processes and operations within your organization.

Yes, we do sign an NDA (Non-Disclosure Agreement) with all of our clients to ensure 100% transparency, confidentiality, and privacy with strict implementation rules.

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