Hire ML Developers

Hire dedicated ML developers who build and deploy scalable, production-ready ML apps including recommendation engines, predictive tools, NLP chatbots, and more with speed and precision.

  • 48-Hour Developer Onboarding
  • Flexible Engagement Models
  • 5+ Years Avg Developer Experience
  • 1:1 Client–Engineer Alignment
  • 100% Code Ownership
  • 99.9% Uptime SLA
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Certified Developers

Code Quality

Top ML Developers, Trusted by Leading Brands

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trial Two Weeks Free Trial

cost Reduce Cost by 50%

faster Faster Delivery

matching Time-Zone Matching

certified Certified Developers

Our ML Experts

Hire Pre-Vetted ML Developers with Deep Domain Expertise

Aarav Mehta

Aarav M.

verified Verified by Engineer Babu

experience Experience: 7 Years Availability Availability: Full-time

Python

TensorFlow

Keras

MLFlow

Scikit-learn

AWS

Aarav is a seasoned machine learning developer for hire with 7 years of experience delivering ML solutions for finance and SaaS. From churn prediction to fraud detection, he builds scalable pipelines ready for production deployment.

Divya Rane

Divya R.

verified Verified by Engineer Babu

experience Experience: 5 Years Availability Availability: Full-time

OpenCV

YOLOv5

PyTorch

TensorRT

CUDA

NumPy

When you hire ML developers like Divya who has built image analytics and real-time recognition systems for logistics and security firms. With a focus on performance optimization, she’s ideal when you need to hire ML developers for visual AI.

Neeraj Sethi

Neeraj S.

verified Verified by Engineer Babu

experience Experience: 6 Years Availability Availability: Full-time

spaCy

BERT

LangChain

Transformers

Python

Hugging Face

Neeraj is an NLP-focused ML developer with 6 years of experience in chatbot development, speech recognition, and semantic search. He's implemented large language models (LLMs) for ecommerce and legal platforms.

Sneha Kulkarni

Sneha K.

verified Verified by Engineer Babu

experience Experience: 10 Years Availability Availability: Full-time

MLFlow

Kubernetes

Airflow

Docker

GCP

CI/CD

Sneha is a senior ML architect with a decade of experience designing and scaling AI infrastructures. She ensures every project includes robust MLOps, model reproducibility, and scalable deployment pipelines.

Ritvik Sharma

Ritvik S.

verified Verified by Engineer Babu

experience Experience: 4 Years Availability Availability: Full-time

PyTorch

Keras

CNN

GAN

Matplotlib

OpenCV

As a deep learning developer skilled in CNNs and GANs, Ritvik has experience with applications across med-tech and manufacturing. He’s your go-to when you want to hire machine learning developers for image-based systems.

Anika Bose

Anika B.

verified Verified by Engineer Babu

experience Experience: 6 Years Availability Availability: Full-time

Scikit-learn

XGBoost

Pandas

FastAPI

NumPy

LightGBM

Anika is a data-focused ML developer for hire who has built and optimized predictive models for edtech and HR-tech platforms. Her work enhances personalization, improves retention, and drives business outcomes.

OUR Expertise

Expertise You Get When You Hire ML Developers From Us

Our ML developers specialize in building, training, and deploying scalable machine learning solutions tailored to real-world product environments.

ML Consulting

Our ML developers provide strategic consulting to evaluate model feasibility, define architecture, and accelerate your machine learning development roadmap.

Custom ML Solutions

Hire dedicated machine learning developers to build custom ML solutions tailored to your app's use case, data, and deployment environment.

ML Modeling

EngineerBabu’s ML engineers design and optimize machine learning models using real-world datasets for accurate, production-grade performance.

ML Algorithms

Hire ML developers in India skilled in implementing supervised, unsupervised, and reinforcement learning algorithms across business-critical applications.

Deep Learning Solutions

Our machine learning developers build deep learning solutions using CNNs, RNNs, and transformers for vision, audio, and language tasks.

Migrating ML Apps

Hire remote ML engineers to migrate legacy machine learning apps to scalable, cloud-native architectures without breaking core functionality.

Ready To Build Intelligent, Scalable ML-Powered Applications?

Hire dedicated ML developers for AI, data science, and automation projects. Transparent pricing, quick onboarding, and full project control included.

80+ Happy Clients

11+ Years of Exerience

170+ Expert Level Talents

Success Stories

Trusted by CEO and CXOs across industries and continents

Andile Ngcaba
Youtube Play
andile
Andile Ngcaba

Chairman at Convergence Partners Investments

“I recently had an opportunity to work with EngineerBabu when I was hiring for my company. It was a great experience! They have such a wide variety of qualified React engineers , and they responded to my request very quickly.”

sarika
Sarika SL

PeopleOps Manager at OkCredit

“We thought hiring 100+ engineers would be extremely hard, but the team at EngineerBabu was able to deliver on time with no hiccups. All of the engineers were experienced and good communicators. Post sales support is also amazing.”

subhash
Subhash Gupta

Ex Vice President, Paytm

mohamed
Youtube Play
Mohamed
Mohamed Meman

CEO of Payload

Pramod
Youtube Play
Pramod
Pramod Venkatesh

Group CTO at INQ

“We want to outsource one product development part, we were not looking for freelancers, already burnt our hand on freelancers. I checked the platform, contacted a couple of teams, good curation is done, we decided to go with one. Highly recommended, this is 10X better than other freelance platforms available in the market, with no commission."

Nemesh
Nemesh Singh

Founder, Appointy

Why Choose Us

Why Hire Dedicated ML Developers from EngineerBabu

EngineerBabu gives you access to top-tier machine learning talent backed by real-world development experience.

Our ML developers deploy end-to-end solutions optimized for real-world performance, scalability, and maintainability.

Hire remote ML engineers with proven expertise in fintech, healthcare, ecommerce, and more, selected through rigorous technical evaluations.

Skip months of recruiting. Get dedicated ML developers onboarded in days, fully aligned with your tech stack and workflows.

Manage your developers directly while we handle payroll, compliance, and infrastructure, ensuring flexibility with accountability.

Choose from hourly, fixed-price, or dedicated team models to fit your project stage and budget without compromising quality.

Our ML engineers work in your time zone, use your tools, and integrate smoothly into your team, no disruption, just results.
Tech Stack

Hire Dedicated ML Developers Skilled in These Tech-Stacks

Hire dedicated Machine Learning developers proficient in top tech stacks like Python, TensorFlow, PyTorch, Scikit-learn, and more. Our vetted experts build intelligent, scalable solutions tailored to your business needs, whether it’s predictive analytics, NLP, or computer vision.

Frameworks

PyTorch

MxNet

Flask

TensorFlow

Mahout

Caffe

Languages

Golang

JavaScript

Kotlin

Java

Python

C++

Scala

Libraries

Matplotlib

OpenCV

NLTK

Asyncio

Pandas

SpaCy

NumPy

Cloud Platforms

AWS

Google Cloud Platform (GCP)

Microsoft Azure

IBM Cloud

Oracle Cloud

MLOps Tools

MLflow

Kubeflow

Airflow

Docker

Kubernetes

TensorBoard

Data Storage & Databases

MySQL

PostgreSQL

MongoDB

Cassandra

Redis

Elasticsearch

Big Data Technologies

Apache Hadoop

Apache Spark

Apache Kafka

Apache Flink

Visualization Tools

Tableau

Power BI

Plotly

Seaborn

D3.js

Find the Right Expert

  • 350+ Large Comp. Partnered
  • Hired 7000+ Developers
  • On-site, Remote, Hybrid
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Blog

Featured Insights and Resources

Development Process

Effortless Process to Hire ML Developers

EngineerBabu makes it easy to hire dedicated ML developers with the right expertise to build, scale, and deploy custom machine learning solutions efficiently.

01

Share Your Requirements

Tell us about your project, tech stack, goals, and the kind of machine learning expertise you need.

02

Get Matched Within 24 Hours

We’ll shortlist pre-vetted ML developers aligned with your requirements and have them ready for interviews within a day.

03

Interview & Evaluate

Assess technical skills, domain experience, and communication fit through interviews or optional coding assessments.

04

Start Building

Onboard your chosen developer and start your project while we handle contracts, onboarding, and setup.

Testimonials

Trusted by Founders, Startups, And Enterprises.

paytm

“Building out critical fintech modules at scale is complex—but EngineerBabu made it look easy. They managed end-to-end product development for several key systems, all delivered on time, fully tested, and ready to scale. Their structured approach and product mindset set them apart.”

Subhash Gupta Vice President, Paytm

Subhash Gupta
okcredit

“We partnered with EngineerBabu to develop a critical internal application built with React. The experience was seamless. Their development capabilities are top-notch, and they delivered a fully functional product incredibly fast. Their attention to performance and scalability made a real difference.”

Sarika SL PeopleOps Manager at OkCredit

Sarika SL
Appointy

“We needed to build a new software product and were wary of unreliable outsourcing options. EngineerBabu completely changed our perspective. They helped us bring our product vision to life with structured development, strong planning, and smooth execution. This is far superior to other platforms we’ve tried.”

Nemesh Singh Founder, Appointy

Nemesh Singh
Dunzo

“Over the past year, EngineerBabu has been instrumental in developing and iterating on our logistics platform. They consistently ship new features, optimize existing modules, and enhance the user experience with high-quality code and fast deployment. It's like having a full-scale product team dedicated to delivery.”

Ankur Aggarwal Co-founder, Dunzo

Ankur Aggarwal
STAGE

“We’ve worked with EngineerBabu to develop our core entertainment app. From ideation to execution, they’ve built a fast, reliable, and scalable platform that truly reflects our brand and audience needs. They’re the best development partner we’ve had, hands down.”

Shashank Vaishnav Co-Founder, STAGE

Shashank Vaishnav
INQ

“EngineerBabu played a pivotal role in driving our software transformation across Africa. They developed platforms that enabled digital operations for over 100 companies, helping them scale and innovate. EngineerBabu handled the entire build process while we focused on growth strategy.”

Pramod Venkatesh Group CTO, INQ

Pramod Venkatesh
Guide

Guide to Hire ML Developers

  1. To hire a machine learning (ML) developer, start by understanding the scope of work — from data preprocessing to model deployment. These developers build and integrate ML models that help improve customer experiences and drive growth.

  2. Look for candidates with strong data handling skills, experience in model training, and the ability to scale solutions in production. Staying current with ML trends is also important, given how quickly the field evolves.

  3. When hiring, assess their hands-on experience with tools like TensorFlow and PyTorch, and consider candidates with exposure to data science services or custom AI development. You may also explore offshore ML hiring models to scale faster and reduce costs.

Evaluating ML developers requires more than just resume screening. You need to assess both technical capability and real-world problem-solving skills. Here’s how to do that effectively:

  1. Technical Screening Ask candidates about their experience with data cleaning, feature engineering, model training, evaluation metrics, and deployment workflows.

  2. Project Walkthroughs Have them explain past ML projects, the challenges they faced, how they approached performance optimization, and what tools they used.

  3. Tool Proficiency Ensure they are familiar with core tools like Python TensorFlow, PyTorch, Scikit-learn, MLFlow, and cloud platforms.

  4. Practical Testing Use a take-home assignment or live coding task to test their applied skills with realistic scenarios.

  5. Communication Skills Make sure they can clearly explain ML concepts to both technical and non-technical stakeholders.

EngineerBabu handles this step upfront, ensuring only skilled, tested ML engineers are matched to your project.

Hiring Machine Learning developers from India offers multiple advantages:

  1. Cost-effectiveness Skilled ML talent in India comes at a fraction of the cost compared to Western markets, without compromising quality.

  2. Large talent pool India has a vast and growing base of engineers experienced in Python, TensorFlow, PyTorch, and more.

  3. Strong English communication Most Indian developers are fluent in English, ensuring clear collaboration and faster onboarding.

  4. Time zone flexibility Indian developers are used to working with international clients, offering overlapping hours or round-the-clock productivity.

  5. Exposure to global projects Many Indian ML developers have hands-on experience working on projects for US, UK, and EU-based companies.

Criteria EngineerBabu Freelancers In-House Team
Talent Quality Pre-vetted, domain-specific ML experts Varies widely, requires manual screening High (if sourced well), but time-consuming
Hiring Speed 24–48 hours onboarding 1–3 weeks (with uncertainty) 4–12 weeks for hiring & onboarding
Cost Efficiency Cost-effective without overhead Lowest upfront cost, but risk of hidden delays High salaries + infrastructure + HR costs
Commitment Level Full-time, dedicated ML developers Often part-time or multi-project Full-time, but not always flexible
Scalability Scale team up/down as needed Difficult to scale reliably Scaling requires long-term planning
Project Management Support Optional PM, QA, and DevOps included No management or QA layer Internal management required
Risk of Drop-off Very low, with guaranteed continuity High risk of sudden unavailability Low, but high cost of replacement
IP Protection & Contracts NDA + full legal compliance Risky without formal agreements Fully controlled
Tools & Collaboration Seamless integration with your stack & tools May vary or need alignment Aligned to internal systems
Long-term Flexibility Ideal for both short-term and long-term needs Good for short-term, not reliable long-term Ideal for long-term, less flexible for change

After you hire ML developers a structured onboarding plan is essential. It helps avoid delays, confusion, and misalignment.Here’s how to ensure a smooth start:

  1. Set Up Access Share credentials for repositories, data sources, dev environments, and communication tools before the developer’s start date.

  2. Provide Project Context Document the business problem, goals, success metrics, and current architecture so the developer can ramp up quickly.

  3. Define Roles and Expectations Clearly outline deliverables, timelines, reporting structure, and how performance will be evaluated.

  4. Introduce the Team Organize brief introductory meetings with product managers, data teams, and stakeholders to align workflows.

  5. Introduce the Team Organize brief introductory meetings with product managers, data teams, and stakeholders to align workflows.

Retaining great ML developers is just as important as hiring them. Here are proven strategies to keep your ML talent productive and motivated:

  1. Provide Growth Opportunities Encourage developers to stay updated through certifications, conferences, or access to learning platforms.

  2. Offer Ownership and Autonomy Allow them to take end-to-end responsibility for certain features or modules, and trust them with decisions.

  3. Give Regular Feedback Conduct review sessions to discuss progress, challenges, and performance, while recognizing strong contributions.

  4. Maintain Project Relevance Ensure their work continues to be impactful and challenging, avoiding repetitive or stagnant tasks.

  5. Enable Technical Support When developers face blockers, having access to senior architects orDevOps support ensures smooth progress.

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FAQ

Frequently Asked Questions

All of our machine learning developers are experienced in taking models from research to production. They understand deployment workflows, containerization with Docker or Kubernetes, real-time inference, version control, and model monitoring. Whether it’s deploying via APIs, cloud services, or embedding models into applications, our developers follow best practices to ensure stable, scalable, and production-ready ML systems.

Our ML engineers are proficient in a wide range of tools and frameworks including TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, MLFlow, OpenCV, and Hugging Face. They also work with supporting technologies like Pandas, NumPy, FastAPI, Flask, and cloud platforms such as AWS, GCP, and Azure for end-to-end development and deployment.

Our developers have delivered ML solutions across industries including fintech, healthtech, edtech, ecommerce, logistics, and legal tech. From fraud detection and churn prediction to recommendation systems and NLP chatbots, we match you with ML engineers who have domain-relevant experience tailored to your specific project needs.

Our ML developers are skilled in end-to-end integration. They can embed trained models into web or mobile applications using APIs, build real-time or batch inference pipelines, and deploy solutions to the cloud. Whether you're working with a microservices backend, mobile SDK, or cloud infrastructure, they ensure seamless ML integration that aligns with your architecture.

We follow a robust development workflow that includes proper data preprocessing, model evaluation, A/B testing, and performance tuning. Our developers apply best practices in MLOps to ensure reproducibility, versioning, monitoring, and CI/CD integration. Code reviews, QA support, and cloud-native scaling techniques are part of every engagement to guarantee reliable, high-performance solutions.

You can get matched with pre-vetted ML developers within 24 to 48 hours. Once you finalize your selection, onboarding typically begins immediately. We streamline the entire process, from requirement gathering and candidate alignment to contract and kickoff, so you can start development without delay.

We offer flexible hiring models to suit every stage of your ML project:
  • Dedicated Developers: Full-time ML engineers working exclusively on your project
  • Hourly Model: Ideal for short-term needs, optimizations, or bug fixes
  • Fixed Price Model: Best for well-scoped ML projects like MVPs or PoCs
You can easily scale up or down depending on your project's complexity, timeline, and evolving needs.