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Hire ML Developers
Whether you need predictive analytics, process automation, or deep learning solutions, hire machine learning engineer from our team, with extensive knowledge and hands-on experience in working with the latest ML Algorithms, catering to your unique requirements. Our ML engineers build intelligent solutions that revolutionize the way businesses operate. Hire ML engineers in just a click!
20+
ML Developers
90%
Developer's Retention Rate
30+
Projects Delivered
40+
Countries We Served
Schedule a developer interview
Hire Machine Learning Engineers Fueling Intelligent Systems
Hired by companies leading in the field of AI/ML, our team of ML experts can help you automate your business processes and make data-driven critical decisions by building rich ML solutions.
ML Consulting & Strategy
Get expert guidance on your dream machine learning development idea by opting for our ML consulting service. Also, get the right-fit ML solution that helps your business embrace AI/ML potential into the workforce and shine into the market as a sparkling brand delivering value for the customers.
Model Deployment and Integration
Already have your ML model ready but need experts to seamlessly integrate with your system? Hire ML engineers from our team to fine-tune and integrate your ML models with your existing infrastructure and efficiently deploy it using technologies, like Docker and Kubernetes to top-notch cloud platforms like AWS, Azure, or GCP.
Natural Language Processing (NLP) Solutions
With expertise in NLP techniques including BoW, TF-IDF, Word Embeddings, POS Tagging, and transformer models like BERT, we develop NLP solutions for tasks such as data processing, machine translation, summarization, and text generation.
Recommendation System
Hire machine learning engineers from our team to build your business-specific recommendation system to elevate your digital users’ site experience with personalization to increase revenue generation, and be competitive in your industry (highly recommended for businesses from retail & e-commerce, media, etc.).
Cloud-Powered ML Solutions
Our expert team specializes in architecting and deploying ML models on leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Leveraging the latest advancements in cloud technologies, we seamlessly integrate ML capabilities into your existing systems, enabling you to unlock valuable insights from your data.
Custom ML Model Development and Training Solutions
Hire machine learning experts specializing in building problem-specific ML models using pertained models, convolutional neural networks (CNNs), recurrent neural networks (RNNs), etc. From data processing to hyperparameter tuning with model evaluation, our ML developers help with all.
Feature Engineering
Utilizing practices like missing data handling, features scaling, converting categorical variables in numerical representations, ensuring feature scaling, transforming features, creating new features from existing ones using PCA, ICA, or t-SNE, and extracting features from text data using TF-IDF scores, our ML developers deliver top-notch feature engineering solutions.
Computer Vision Based Solution
Hire a team of skilled data scientists and ML developers to implement, train, and integrate computer vision features, like object detection, image classification, facial recognition, Optical Character Recognition (OCR), and more, enhancing your business processes.
Predictive and Real-Time Analytics
Whether you’re looking to optimize marketing campaigns, forecast demand, or enhance customer experiences, our ML developers are experts at leveraging time-series forecasting models like ARIMA and SARIMA and anomaly detection techniques like Isolation Forest and Autoencoders to meet your requirements.
Machine Learning Operations (MLOps) Solutions
Whether you’re looking to establish ML workflows or seeking to optimize existing processes, through comprehensive data audits, feasibility studies, and risk assessment, we develop goal-oriented ML strategies aligned with your business objectives. With expertise in MLOps, we help you transform the way you manage and operationalise ML solutions.
Hire ML Developers to Elevate Your Business with Intelligently Trained Solutions?
Whether you're looking to optimize operations, enhance user experience, or drive innovation, we've got the ML expertise you need!
Let's DiscussAmazing Projects Our Machine Learning Developers Are Working On
Explore a range of ongoing ML projects, from fundamental to groundbreaking, that are poised to transform the operational dynamics of our clients’ businesses.
Case Study
Explore how our ML experts have helped our clients transform their businesses with the power of data and AI.
99%
Increase in accessibility
95%
Improvement in document processing
90%
Reduced error rates
50%
Reduction in claim processing time
Squaredash, an insurance claim management firm, helps companies and individuals obtain insurance claims as early as possible.
15%
Increase in revenues
95%
Accuracy rate
70%
Increase in App Performance
25%
Spike in ROI
Sidepocket is an asset allocation robo-advising app designed to help users follow informed investment practices while minimizing risks and maximizing diversification and profits.
90%
Developers find it easy to adapt
50%
Growth in the user base
20%
Reduction in code compilation time
100M+
Lines of code generated
Slipstream is an all-in-app AI-based development platform that not only automates complicated decisions but also enables the creation of complete applications effortlessly.
Hire Your Project-specific ML Team
Project Scope
Technologies
Team Compositions
Recommendation Engine
TensorFlow
spaCy/NLTK
Redis
Pandas
Docker
- UI/UX Designer
- ML Engineer
- Mobile App Developers
- Data Scientist
Bank Fraud Detection System
TensorFlow
spaCy /NLTK
Redis
PySpark
MongoDB
- ML Engineer
- Backend and Frontend Engineers
- DBA
- Data Scientist
Multimodal AI Search Assistant
OpenAI GPT
CLIP
LangChain
Pinecone
FastAPI
Whisper
- ML Engineer
- Backend Engineer
- Integration Specialist
- Frontend Engineer
- QA
Medical Predictive Analytics
LangChain
RAG
Llama
Jupyter
SQL
- ML Engineer
- Backend Engineer
- Full Stack Developers
- Data Scientist
Algorithmic Trading
TensorFlow
LSTM
Tableau
- ML Engineer
- Backend Engineer
- Frontend Engineer
- Data Scientist
Predictive Maintenance
OpenAI
LangChain
RAG
Pinecone
MongoDB
- AI Engineer
- Frontend and Backend Engineers
- DBA
- Project Managers
Have a unique project idea but not sure which tech specialists to add in team?
Tell us more about it and we will suggest best fitting team compositions for free
Hire ML Developers From India in 4 Easy Steps
Looking to hire the best-fit remote AI talents for your unique project? Look no further, as MindInventory follows a quick and easy 4 step process to get you the best talent meeting your requirements.
What We Assure To Provide
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Step 1
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Step 2Shortlist the Right-Fit TalentAs per your requirements, we’ll conduct a talent screening and curate a list of right-fit talents you can hire.
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Step 3Interview the TalentPick the right-fit talent for your project to interview, test their skills, and know their approaches to work on your project.
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Step 4Onboard & Begin the ProjectOnce you find your right-fit talent, we’ll help you remotely onboard, begin the project, and provide managed support.
What We Assure To Provide
Key Skills Our ML Developers Have
Expertise in various machine learning techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
Familiarity with cloud platforms, like AWS, Azure, and Google Cloud Platform for scalable ML solutions.
Experience with deep learning frameworks like TensorFlow or PyTorch.
Ability to work with large datasets and distributed computing frameworks.
Extensive knowledge of data preprocessing, feature engineering, and model evaluation.
Expertise in data visualization tools such as Matplotlib or Seaborn for effective data exploration and communication.
Familiarity with machine learning deployment techniques such as containerization and orchestration with tools like Docker and Kubernetes.
Knowledge of database systems and SQL for data querying and manipulation.
Ability to develop and deploy ML models in production environments while ensuring scalability, reliability, and maintainability.
Understanding of statistical concepts and methodologies.
Proficiency in model interpretability techniques to explain model predictions and ensure transparency in decision-making processes.
Understanding of natural language processing or computer vision techniques.
Experience with model monitoring and performance tracking to detect drift and ensure model quality over time.
Continuous learning mindset to stay updated with the latest ML advancements.
Strong problem-solving and analytical skills.
Knowledge of ethical considerations and bias mitigation strategies in ML development to ensure fairness and accountability in AI systems.
Technical Expertise Of Our Dedicated Machine Learning Developers
Here’s a list of tools and technologies utilized by our machine learning developers, selected to harness the full potential of data-driven solutions.
Languages
- Python
- R
- JavaScript
- Kotlin
- Golang
- C++
Platforms & Frameworks
- TensorFlow
- Keras
- LangChain
- LlamaIndex
- RASA
- Caffe
- Kubeflow
- Kubernetes
Libraries
- PyTorch
- scikit-learn
- OpenCV
- Hugging Face Transformers
- Hugging Face PEFT
- FastAI
- NLTK
- Asyncio
- Ggplot2
- Dash
- Plotly
- Streamlit
- Gradio
- Spark
- MLlib
- Theano
- Gensim
- Seaborn
Algorithms
- Regression models
- KNN
- SVM
- Random Forest
- Decision Tree
- Tesseract
- YOLO
- LLMs
- Stable diffusion
- DALL-E 2
- Midjourney
- Imagen
- GLIDE
- Whisper
- BARK
Data Management & Visualization
- OpenML
- ImgLab
- Fivetrann
- Talend
- Databricks
- Snowflake
- Pandas
- Spark
- Data lakes
- Amazon S3
- NumPy
- SciPy
- Apache Spark
- Azure Cosmos
- Hadoop
- Matplotlib
- Power BI
- Tableau
- Apache Kafka
- Vertex AI
Model Management Tools
- Neptune
- Comet
- Evidently
- AWS Sagemaker
- Azure Machine Learning
- Google Cloud
Neural Networks
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Long Short Term Memory (LSTM)
- Generative Adversarial Network (GAN)
- Transformers
OCR
- Pytesseract
- EasyOCR
- Keras-OCR
- AWS Textract
- Azure AI Document Intelligence
- Google Vision
- Amazon Extracts
Ready to Partner With Us to Empower Your Business with the Transformative Power of ML?
Whether you're aiming to streamline operations, optimize resource allocation, or revolutionize customer experiences, we have the expertise and passion to make it happen.
Let's Build Your ML TeamWhy Hire Machine Learning Engineers from MindInventory?
At MindInventory, we follow a robust framework to hire machine learning developers who fit well in our team. Many of our clients also choose to hire dedicated machine learning developers from our team for our commitment to delivering excellent solutions, fostering reliable long-term partnerships, and for the following reasons.
We have a designated team of ML experts working as a separate division solely on AI/ML projects. Our team has extensive experience in working with various complexities of ML projects and delivering powerful solutions.
Continuous R&D efforts lead to the development of more sophisticated algorithms and models. We invest heavily in R&D efforts to help our clients develop their unique and powerful ML solutions.
Our developers have handled large volumes of data which helps businesses dealing with vast amounts of data and requiring real-time processing capabilities. They are experts at managing and querying data, which can be pivotal for data-driven applications.
At MindInventory, we prioritize our team members’ satisfaction and growth. With ample career development opportunities, an open work culture, and employee well-being programs, we achieved an impressive 95% retention rate.
At MindInventory we practice a transparent billing system with no hidden costs, providing you with a clear understanding of your financial bifurcation. Our pricing models are easy to understand and ensure that you receive high-quality development services at a cost that delivers value for your money.
We prioritize clear and consistent communication, especially when dealing with frequent code deployments. Clients are kept in the loop with regular updates, reports, and feedback sessions to ensure that the development aligns with their vision and expectations.
About Us
Crafting cutting-edge digital solutions with creative minds
Who We Are
A Mindful team of tech innovators bringing world-class tech ideas to reality. We embrace the power of technology to provide cutting-edge digital solutions that propel our clients toward unprecedented success.
What Drives Us?
Creativity is our heartbeat. We constantly challenge ourselves to further our technical prowess and help our customers to deliver exceptional customer experience.
Trusted By 1600+ Happy Clients, Including Fortune Companies
Our Achievements
4.6
Top IT services company
4.7
Top mobile app development company
4.8
Top mobile app development company
5.0
Top mobile developers
Client’s Testimonial
Discover our client success stories as they share their experiences partnering with MindInventory.
Frequently Asked Questions
Here’s a list of FAQs that will help you to know more about our hire dedicated ML engineers services.
Our machine learning engineers can help you with different types of services, such as extensive ML consulting, custom ML-powered software development, Natural Language Processing (NLP) solutions, computer vision solutions, business intelligence and analytics solution, deep learning solutions, Robotics process automation, as well as post ML development support and maintenance services.
Well, our Machine Learning developers are well-versed in working on any sort of AI/ML development project of any industry. However, being on the industry specialization chart, at MindInventory, we mainly focus on industries, including FinTech, E-commerce & Retail, Healthcare, Real Estate, Education, and Logistics.
Yes! Luckily, at MindInventory, we have flexible hiring models, like Hourly hiring, monthly hiring, and yearly hiring. So, you can hire machine learning developers on an hourly or project/task base and flexibly change the hire model type later on.
Dedicated machine learning developers handle many important roles and responsibilities, including:
- Assess and improve data science prototypes;
- Create machine learning models using modern ML frameworks and libraries;
- Under the requirement and fetch the best-fit ML tools and algorithms;
- Pick suitable datasets or engineer synthetic datasets for the training models;
- Continuously testing and improving ML models as per industry trends.
Yes, we do provide post-development support and maintenance for your ML solution! But for maintenance requirements, you do not require to hire a full-time programmer as we have a flexible bucket model for you to get dedicated support and maintenance service when required.
One of the main reasons to outsource is to work “round-the-clock”; and that too, at a better cost than hiring in-house staff. We generally work from 10 AM to 7 PM IST (Mon - Fri); however, for the call/meeting, hired developers can make adjustments for around +/- 3 hours from regular office hours.
We ensure that the clients’ intellectual properties are kept protected all the time, from closing the deal with an NDA, and keeping the code secure in the private Git to delivering the project with all formalities, code ownership, copyrights, etc.
Of course! In fact, that’s our expertise and motto to help businesses upgrade their legacy system with industry-leading technologies, like AI and ML, to improve their business efficiency and stay up-to-date with market trends. Hire dedicated ML engineers from our team today!
There is no straightforward answer to this question. The cost to hire a developer depends on many factors like the development platform, the type of project, the complexity of the design, the number of pages, features and functions, maintenance cost, etc. Contact us today to know more about the cost to hire a dedicated ML developer from MindInventory.
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