Machine Learning Engineers for Custom Algorithmic Solutions

Hire ML Developers

Our certified ML Developers bring deep expertise in Python, statistical modeling, and deep learning frameworks like TensorFlow and PyTorch. This specialized skill set ensures robust, scalable algorithmic solutions for tasks such as predictive analytics, anomaly detection, and natural language processing. Hire ML developers from Celestial Infosoft to guarantee project success and measurable business insights.

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Hire Machine Learning Developers To Build Predictive Intelligence Systems

50+ AI/ML Projects | Python/Scikit-learn | Data Science Experts

We are a specialized partner in ML development, focusing on translating complex data into measurable business outcomes through advanced predictive modeling and algorithms. Our dedicated ML developers bring deep mastery of the entire modeling lifecycle, from feature engineering and rigorous model training using TensorFlow/PyTorch, to deploying high-accuracy solutions for pattern recognition and forecasting.

By choosing to hire ML developers from Celestial Infosoft, you are securing talent that understands both the research rigor of data science and the production demands of MLOps. This expertise guarantees solutions that are architected for scalability, minimizing bias, and providing the robust, data-driven intelligence your business needs to stay competitive and automate key decision-making processes

Our Portfolio

Crafting digital excellence: Our ML Projects

From advanced data modeling to autonomous systems, our ML developers build intelligent solutions that streamline processes, empower data-driven decisions, and fuel sustainable business innovation.

Horsopedics project

Horsopedics

Horsopedics is an AI/ML-based app that uses machine learning and computer vision to scan horse hooves, generate precise 3D models, and predict lameness risks. Built with TensorFlow and Firebase.

Couponcred project

CouponCred

CouponCred is a AI based Coupon and cashback App that functions as an all-in-one platform, providing real-time coupons, deals, and cashback from top e-commerce stores to help users save money effortlessly.
AI-Powered Healthcare Mobile App

MedAssist

MedAssist is an AI-powered telehealth platform that analyzes patient vitals in real-time to predict potential health risks and automate early alerts. Built with advanced machine learning models, it connects patients and doctors.

Modern Machine Learning Solutions

Core Service Offerings By Our ML Developers

Our dedicated ML Developers provide end-to-end services that cover the entire machine learning lifecycle, specializing in translating raw data into robust, high-accuracy predictive models and intelligent applications.

Data Acquisition & Feature Engineering

We define the required data sources, perform data cleaning and validation, and specialize in Feature Engineering, the process of selecting and transforming raw data into the high-quality input essential for optimal model training and performance.

Predictive Analytics & Forecasting

We specialize in building solutions that forecast future outcomes, such as sales demand, customer churn, or equipment failure. These predictive models enable businesses to make proactive, data-driven decisions that optimize resources and mitigate risk.

Natural Language Processing (NLP) Models

We develop specialized NLP models for tasks like sentiment analysis, text classification, topic modeling, and information extraction from unstructured data sources (e.g., customer reviews, emails, and documents).

Cloud AI Platform Integration

We integrate and optimize model workloads on major cloud platforms like AWS SageMaker, Google Vertex AI. This ensures that large-scale model training and inference benefit from managed, scalable, and cost-effective infrastructure.

Hire ML Developers

Custom Model Development & Training

Our ML Developers design, build, and train custom algorithms from statistical models to complex Deep Learning networks using industry-leading frameworks like PyTorch, TensorFlow, and Scikit-learn.

MLOps Implementation & Deployment

We integrate MLOps (Machine Learning Operations) practices to automate the deployment, serving, and lifecycle management of your models. This ensures your model transitions smoothly from the lab environment to scalable production use.

Model Optimization & Performance Tuning

Our service includes rigorous tuning of model hyperparameters, code profiling, and leveraging techniques like quantization and pruning to minimize latency, reduce computational costs, and maximize the efficiency of models in production.

Model Monitoring & Retraining

Reliability is Key. We implement monitoring tools to track the health and accuracy of models in production, setting up automated retraining loops to quickly adapt the model when performance degrades due to data drift.

Hiring platform comparison

Why choose Celestial Infosoft over in-house teams & freelancers

This comparison chart highlights how our developers stand out from traditional in-house hiring and freelance options.

Aspect
Celestial Infosoft
In-House
Freelancer
Time to Hire Developer
18 - 24 Hours
2 – 3 Weeks
1 – 2 Weeks
Time to Start Project
Start Immediately
2 – 3 Weeks
2 – 3 Days
Hourly Developer Rate
$25/hr
$80+/hr
$60+/hr
Developer Training Costs
Zero
5 x
3 x
Project Risk to You
7- Days Free Trial
High
Very High
Average Team Scaling Time
1 Day – 1 Week
4 – 16 Weeks
Headache
IP & Code Ownership
100% Code Ownership
Contractual
Negotiable
Communication Medium
Dedicated Project Manager
Direct
In-Direct

Levels of developer expertise

Hire ML Developers as per your needs

Stop wasting time on mismatched talent. We instantly assign your project to experts who bring the right depth of machine learning experience to your team.

dedicated developer coding on laptop

Entry-Level ML Developer

Builds and tests basic machine learning models, assists with data collection and preprocessing, and supports model evaluation under expert supervision.

Mid-Level ML Developer

Develops and optimizes machine learning pipelines, implements predictive analytics, and integrates ML models into production systems.

Senior ML Developer

Architects advance deep learning systems, lead end-to-end ML projects, and design scalable solutions for automation, forecasting, and intelligent decision-making.

Not Sure Whom To Hire? 🤔

Let’s make it easy. Schedule a free consultation, and we’ll match your project with the right ML expert for your goals.

Pricing table

Custom Hiring plans for ML Developers

Transparent Pricing | NDA Protection | Code Ownership | Easy Termination

Hourly (USD)

Starting from 
$30

Monthly (USD)

Starting from 
$3999

Daily (USD)

Starting from 
$229

Client Testimonials

Hear what our clients say about our results

happy client

"Our FinTech app required bulletproof security. The Android developer Celestial provided was a true expert, integrating biometrics and Jetpack Security flawlessly. We trust their quality implicitly."

ERP Client- Anders Bjornsson
New York, USA CEO

"We started hourly, moved to daily, and finally to a long-term monthly contract. The flexibility of the engagement models made scaling our startup feel completely risk-free."

ERP Client- Javier Ruiz
Auckland, NZ Business Owner

"The ML Engineer was crucial for our predictive analytics model. Their Python expertise was superb, delivering tangible results on schedule."

HRM Client- Ashley Davis
California, USA Data Scientist

"We needed an expert in the entire MERN stack to lead a new product line. Our developer was a true full-stack generalist who managed the database, API, and frontend integration brilliantly. Excellent value for money and technical breadth."

ERP Client- Niko Koskinen
Gabriel | Paris VP of Engineering

"Seamless communication and fast performance. The iOS developer provided was exceptionally quick, pushing features that perfectly aligned with Apple's guidelines."

HRM Client- Michael Thompson
London, UK Product Owner

"We scaled our API services with a dedicated Node.js expert. They implemented a microservices architecture that handles triple the traffic volume with zero downtime. Fast, professional, and highly skilled."

HRM Client- Kwame Mensah
Texas, USA IT Director

"The AI developer helped us integrate a custom fraud detection algorithm. The team's transparency and the results validated their skill immediately."

Client- Luca Rossi
Geneva, Switzerland CFO

"The Dedicated Project Manager was invaluable. They ensured all communication was streamlined, allowing our in-house team to focus purely on product vision."

Client- Anna Ivanova
Vancouver, Canada Project Coordinator

"The Senior Android Architect we hired immediately stabilized our codebase. Their Kotlin and MVVM expertise delivered a vital 40% reduction in crashes. We've found our reliable long-term mobile partner."

Agro Client- Lisa R
Sophie | AUS CTO

"Communication was seamless. Our React/Node developer quickly integrated into our existing team, helping us clear a huge feature backlog. We value the transparency and constant output."

Agro Client- Nguyen Tran
Singapore Technical Lead

"We hired a Python developer to optimize our entire data processing workflow. The resulting scripts cut our daily time by over 60%. A massive win for our research team."

Agro Client- Matthew Reynolds
Dr. Elias | Amsterdam Research Lead

"Hiring was seamless. We were able to onboard a Senior Developer in under 24 hours. This speed is unmatched and fundamentally changed our ability to react to market demands."

HRM Client- Dani Chukwuma
Stockholm, Sweden Director

"Hiring was seamless. We were able to onboard a Senior Developer in under 24 hours. This speed is unmatched and fundamentally changed our ability to react to market demands."

Agro Client- Hiroshi Yamamoto
Kenji Tanaka | Tokyo VP of Finance

"The Senior iOS developer was able to modernize our dated UI using SwiftUI. They elevated the entire design language of our application. A noticeable, excellent investment."

Client- Nancy Johnson
Toronto, Canada CEO

"The Python Full-Stack developer was ideal for our complex inventory system. They quickly set up the Django backend and were incredibly productive. Very happy with the strategic hire."

ERP Client- Olivia James
Dublin, Ireland Startup Founder

"The developer's adherence to clean architecture and their proactive approach to writing unit tests were superb. The code quality alone justifies the partnership."

Client Hans Müller
Dubai, UAE Solutions Architect

"The pre-vetted candidates were fantastic. The ease of the 7-day free trial removed all hiring risk; we were confident in our choice instantly."

Agro Client- Maria Georgiou
Maria | USA HR Manager

"Hiring a Flutter developer let us hit both iOS and Android markets simultaneously. The developer was innovative and efficient, delivering our cross-platform MVP two weeks ahead of schedule."

Client Michael Brown
Toronto, Canada COO

"We tasked them with managing sensor data for our Smart Home device. The IoT developer was proactive and delivered incredibly robust backend logic. Trustworthy talent."

Agro Client- Carlos and Mathew B
Berlin, Germany Head of Product

"The clear 100% IP ownership clause and strict NDA gave us complete peace of mind. It’s comforting to know the code written is legally and securely ours."

Client- Oliver Smith
Sao Paulo, Brazil Tech Executive

"Hired a dedicated React developer to revamp our customer portal. The speed and quality of the frontend work were exceptional, leading to a noticeable jump in user satisfaction scores."

Client Mark Spencer
UAE Managing Director

"Hired a dedicated React developer to revamp our customer portal. The speed and quality of the frontend work were exceptional, leading to a noticeable jump in user satisfaction scores."

Client- David Brown
Zola Mbeki | SA Client Success Manager

"We moved to a Jetpack Compose architecture for better performance. The Android developer provided was highly proficient, delivering a modular and clean UI that significantly reduced our build times. Seamless transition."

Client- Carlos Gómez
Oslo, Norway Product Director

"We moved to a Jetpack Compose architecture for better performance. The Android developer provided was highly proficient, delivering a modular and clean UI that significantly reduced our build times. Seamless transition."

Client- Sophie müller
Israel VP of R&D

"We needed one developer to own both apps. The Flutter developer delivered native-level performance on both Android and iOS with a single codebase. Fastest scaling we’ve experienced."

Client John Davis
Mexico City Startup CEO

Tech Stack

Hire ML developers with a comprehensive skill set

Powering intelligent automation and data-driven innovations with state-of-the-art machine learning frameworks, cloud-based model deployment, and MLOps expertise.

python

Python

tensorflow

TensorFlow

Pytorch

PyTorch

Scikit-learn

Keras

Keras

Hugging Face

Hugging Face

Fast API

FastAPI

3D cube with blue squares

NumPy

docker

Docker

ml flow

MLflow

Pandas

Pandas

Vertex AI

Vertex AI

Proven Expertise in Machine Learning Since 2017

Reasons to Hire ML Developers from Celestial Infosoft

We connect you with certified ML Developers who are experts in translating raw data into high-accuracy predictive models. Our methodology ensures your investment accelerates innovation, optimizes operations, and establishes a data-driven culture.

Data Science & Feature Engineering Rigor

Our developers are trained in specialized Data Science practices, focusing heavily on Feature Engineering, the complex process of transforming raw, unstructured data into the precise inputs models need. This ensures superior model accuracy and performance.

MLOps for Production-Grade Scalability

We treat model deployment as a continuous pipeline, not a one-time event. Our ML Developers implement MLOps principles, containerization, and automated monitoring to guarantee models scale reliably under real-world load and remain stable over time.

Custom Predictive Analytics Expertise

We build bespoke models specifically to solve your business's unique challenges, such as forecasting demand, predicting customer churn, or identifying equipment failure. This targeted approach yields a higher ROI than off-the-shelf software.

TensorFlow & PyTorch Mastery

Our engineers are deeply proficient in the leading Deep Learning frameworks (TensorFlow, PyTorch). This expertise allows us to design and train complex algorithms (neural networks) for advanced tasks like object recognition and sophisticated NLP models.

Risk Mitigation and Quality Assurance

We minimize risk by embedding quality checks throughout the ML lifecycle, including rigorous model testing and validation against industry standards. This reduces the chance of costly errors, technical debt, and model bias in production.

Full Source Code & Model Ownership

You retain 100% Intellectual Property (IP) and full ownership of the trained model and source code from day one. This provides your business with the long-term strategic advantage and flexibility to integrate, audit, or evolve the model independently.

Schedule your quick interview & get a 7-Day free trial

Fill out the form below to connect with our team and start building smarter, faster, and more secure digital solutions.

Our development process

Our Machine learning development process

Our ML development process combines data science, automation, and engineering expertise to turn raw datasets into intelligent, high-performing predictive models that drive business success.

01. Strategy

We analyze your data sources, evaluate data integrity, and identify potential ML opportunities to align with your business objectives.

02. Train Model

Technical Vetting

Our experts design and train custom ML models ranging from regression to deep learning, using frameworks like TensorFlow, Scikit-Learn, and PyTorch.

03. Integrate

Lacking MLOps

We integrate trained models into production systems with CI/CD pipelines, ensuring scalability, monitoring, and performance consistency.

04. Optimise

launch

We fine-tune model accuracy, retrain with new data, and ensure consistent performance through automated MLOps and human feedback loops.

Celebrating Customer Success

Success Stories of Machine Learning Excellence

Discover how our machine learning solutions revolutionize industries. From predictive analytics to automated insights, explore real-world case studies where our ML experts transformed raw data into actionable intelligence and measurable business growth.

AI-Driven Medical Device Software

Revolutionizing Remote Patient Monitoring with AI-Driven Medical Device Software

We helped a leading medical device manufacturer modernize its remote patient monitoring system with ML predictive analytics. Using TensorFlow and AWS, we built a secure, HIPAA-compliant platform that forecasts health risks in real time reducing hospital readmissions and improving patient outcomes.

Data Analytics Platform for Retail

AI/ML Based Data Analytics Platform for multinational retail chain Operator

We partner with a multinational retail chain to transform its fragmented reporting system into a unified, AI-driven analytics platform. Using Kafka, Spark, and Power BI, we enabled real-time insights across sales, inventory, and customer behavior. The result: faster decisions, 30% better forecast accuracy, and a 25% reduction in stockouts.

AI-Powered Healthcare Mobile App

AI-Powered Healthcare Mobile App for Remote Patient Monitoring

A leading North American healthcare provider aimed to transform patient care through digital health innovation. we built a secure, AI remote patient monitoring app that enables real-time vitals tracking, predictive health alerts, and seamless doctor-patient communication. It improved patient engagement by 35%

Standards we follow
for Ethical ML Model

Our ML developers follow advanced MLOps standards with core ethical checks to ensure your predictive systems are robust, accurate, and trustworthy from the data layer outward.

example of clean python code

01. Data Governance & Bias Mitigation

We strictly audit and clean all training data for inherent bias, inconsistency, and quality. We enforce strong Data Governance policies, ensuring data is anonymized and compliant before being used, minimizing discriminatory outcomes in the model.

Every model training run (including all hyperparameters, code versions, and data features) is tracked and versioned. This commitment to reproducibility ensures we can debug, audit, and recreate any model version precisely if required.

We mandate MLOps practices to automate the deployment, monitoring, and servicing of models. This CI/CD-style approach ensures models transition smoothly from development into scalable, production-ready infrastructure.

Reliability is continuous. We implement monitoring tools to track model performance in production and specifically detect Model Drift (degradation in accuracy). Alerts are set to automatically trigger retraining pipelines when performance thresholds are breached.

Models are designed for Explainable AI (XAI), allowing human users to understand and trust the prediction. Our developers structure models to provide clear interpretations of feature importance, vital for regulatory compliance and auditability.

We mandate comprehensive statistical testing, including cross-validation and robust comparison against baseline models. We measure success using multiple metrics (e.g., precision, recall, and F1 score) relevant to the business outcome, not just raw accuracy.

Our expertise is not locked to one platform. We deploy ML solutions using leading open-source frameworks (Python, TensorFlow, PyTorch, Scikit-learn), ensuring your solution remains portable and flexible across any cloud environment (AWS, Azure, GCP).

Why Machine Learning

Why Modern Businesses Choose ML for Projects

Strategic reasons why modern businesses are choosing to integrate Machine Learning (ML) into their projects, emphasizing predictive value, automation, and decision-making

Data-Based Decision

ML transforms raw, complex data into actionable insights that are invisible to traditional analytics. By leveraging specialized algorithms, businesses can reduce guesswork and make faster, more accurate strategic decisions grounded in prediction.

Maximized Predictive Analytics

The core value of ML is anticipation. Businesses choose ML to forecast critical metrics like sales demand, customer churn rates, and inventory needs with high accuracy. This foresight enables proactive risk mitigation and optimization of the supply chain.

Intelligent Process Automation

ML enables intelligent automation by allowing machines to handle complex, repetitive tasks that involve variability and unstructured data (e.g., document processing, complex scheduling). This boosts operational efficiency and significantly frees up expert human resources.

Anomaly Detection Security

ML algorithms are highly effective at anomaly detection in real-time system data. This is critical for fraud prevention in finance, identifying suspicious network activity in cybersecurity, and flagging operational risks in infrastructure.

Gain Competitive Advantage

AI/ML solutions are inherently scalable, enabling organizations to process growing datasets and meet increasing user demand without requiring proportionate increases in resources. Early adopters gain a significant and sustained competitive edge by innovating faster than the market.

Enhanced Customer Experience

ML powers hyper-personalized experiences at scale. Through sophisticated models, businesses deliver targeted product recommendations, custom content, and dynamic pricing, leading to enhanced user engagement and increased customer loyalty.

01
01

Share Project Requirements

Define your project's specific objective (e.g., predicting churn, anomaly detection), the available data sources, and the target accuracy (KPIs). We assess these needs and match you with certified ML Developers who specialize in the relevant algorithms and data types.

02
02

Interview & Validate Developer

We present pre-vetted candidates with proven portfolios. You interview them directly to assess their expertise in Python/TensorFlow, Feature Engineering, and MLOps principles. We handle all paperwork to ensure a seamless transition to the contract signing.

03
03

Deploy Model & Start Continuous MLOps

Following your selection, we complete the Quick Setup process immediately. Your ML Developer begins dedicated work within 24 hours, focusing on deploying the model to a production environment and establishing continuous monitoring for Model Drift.

Our Hiring process

Hire ML developers with 3 easy steps

We’ve made hiring ML experts effortless. Our 3-step process quickly connects you with skilled Machine Learning developers, ready to build, train, and deploy intelligent models without the usual delays.

FAQs

Frequently asked questions

We ensure production success by implementing MLOps practices, focusing on version control, automated testing, and continuous monitoring. This guarantees the model is scalable, reproducible, and seamlessly integrated into your larger infrastructure.

Our dedicated ML developers are proficient in Data Engineering, specializing in cleaning, transforming, and validating raw data to ensure high quality and reduce bias. This rigorous approach is crucial for achieving high predictive accuracy.

Model Drift occurs when a deployed model's accuracy degrades because real-world data patterns change over time. We prevent this by setting up continuous monitoring to track performance and automatically triggering model retraining pipelines when degradation is detected.

We prioritize speed to market. You can hire ML developers from our pre-vetted pool and start the 7-day Risk-Free Trial immediately, with the expert commencing dedicated work typically within 24 hours.

Yes. Our experts are proficient in major cloud services (AWS SageMaker, Google Vertex AI) and specialized frameworks (TensorFlow, PyTorch). We optimize model training and serving costs using cloud-native tools.

Absolutely. Machine Learning excels at analyzing customer behavior and preferences to drive personalization. We build custom models for recommendation engines and targeted marketing, significantly boosting engagement and customer loyalty.

Yes. You retain 100% Intellectual Property (IP) and full ownership of the trained model, source code, and data pipelines from the project's inception. This long-term ownership ensures your continued competitive advantage.

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Our Global Presence

India

Surat (H.Q)

250, Tulsi Arcade, VIP Road, Mota Varachha, Surat, Gujarat 394101

Finland

35 A 18 yo kyla, Turku, 20540, Finland

Canada

357 11 Ave SW, Calgary, Alberta, AB T2G 5G3, Canada

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