Staff Augmentation & Dedicated Hiring

Hire Expert AI & Machine Learning Developers

Leverage the power of artificial intelligence with our seasoned ML engineers who design, train, and deploy intelligent systems that transform raw data into actionable business outcomes.

Why AI/ML Developers from Cozcore?

Artificial intelligence and machine learning are reshaping every industry, and our AI/ML developers are at the forefront of this transformation. They bring rigorous academic foundations combined with real-world production experience to deliver AI solutions that go beyond proof-of-concept. From natural language processing and computer vision to recommendation engines and predictive analytics, our engineers handle the complete ML lifecycle including data preparation, model architecture design, training, evaluation, deployment, and ongoing monitoring. They work with the latest frameworks and cloud ML services to deliver solutions that are accurate, scalable, and cost-effective.

Developer Experience & Background

Our AI/ML developers hold advanced degrees in computer science, mathematics, or related fields, and average 4+ years of industry experience deploying machine learning models in production. They have built fraud detection systems for financial institutions, predictive maintenance platforms for manufacturing, recommendation engines for e-commerce, and conversational AI systems for customer service automation. Several team members have published research papers and hold certifications in AWS Machine Learning Specialty and Google Professional Machine Learning Engineer.

Pre-Vetted Talent

Every developer passes rigorous technical assessments before joining our team.

Quick Onboarding

Developers ready to contribute within 3-5 business days of your request.

Timezone Flexibility

Overlapping hours with US, UK, Australian, and European business timezones.

Risk-Free Trial

Two-week trial period with free replacement if the developer is not a good fit.

Start Hiring Today

Share your requirements and we will present qualified candidates within 24-48 hours.

Request Developer Profiles Schedule a Call

Why Cozcore?

  • 10+ years in software development
  • 50+ skilled engineers on our roster
  • 200+ projects delivered globally
  • 95% client retention rate
  • No long-term lock-in contracts

Have Questions?

Talk to our hiring specialist

+91-82098-78432

Technical Skills & Expertise

Our ai/ml developers are proficient in the tools, frameworks, and methodologies that power modern software development.

01

TensorFlow, PyTorch & JAX for deep learning model development

02

Natural Language Processing with Hugging Face Transformers & spaCy

03

Computer vision with OpenCV, YOLO & custom CNN architectures

04

Large Language Model fine-tuning and RAG pipelines

05

MLOps with MLflow, Kubeflow & SageMaker Pipelines

06

Data engineering with Apache Spark, Airflow & dbt

07

Feature engineering, model evaluation & hyperparameter tuning

08

Cloud ML services (AWS SageMaker, Google Vertex AI, Azure ML)

09

Vector databases (Pinecone, Weaviate, ChromaDB) for AI applications

10

Model serving with TensorFlow Serving, Triton & FastAPI

Our Hiring Process

A streamlined, transparent process designed to match you with the right developer quickly and confidently.

1

Share Your Requirements

Describe your AI/ML goals, the data you have available, the business problems you want to solve, and any existing ML infrastructure. We identify engineers whose specialization aligns with your specific use case.

2

Candidate Shortlisting

Receive profiles of AI/ML engineers within 24-48 hours, complete with their specialization areas, published work, model performance benchmarks from past projects, and relevant certifications.

3

Technical Interview

Evaluate candidates through discussions on ML system design, model selection rationale, and hands-on challenges covering data preprocessing, feature engineering, and model evaluation methodologies.

4

Onboarding & Integration

Your selected ML engineer is onboarded with access to your data infrastructure, compute resources, experiment tracking tools, and development environment for a smooth start.

5

Development & Ongoing Support

ML development begins with a focus on iterative experimentation, rigorous evaluation, and production deployment. We provide ongoing support for model monitoring, retraining pipelines, and scaling ML infrastructure.

Ready to Hire AI/ML Developers?

Get matched with qualified candidates within 24-48 hours. No commitment required.

Request Developer Profiles

Flexible Engagement Models

Choose the engagement model that best fits your project scope, timeline, and budget. Scale up or down as your needs evolve.

Hourly

Flexible hourly AI/ML consulting for model evaluation, data analysis, or guiding your team through specific machine learning challenges.

  • Pay only for hours worked
  • Minimum 20 hours per week
  • Weekly progress reports
  • Scale up or down anytime
Best for

ML feasibility studies, model audits, and short-term data science tasks

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Monthly Dedicated

A full-time dedicated AI/ML developer embedded in your data science team, working on model development, training, and deployment as an integral part of your organization.

  • 160 hours per month guaranteed
  • Daily standups and sprint planning
  • Direct Slack and video access
  • No long-term lock-in contract
Best for

Ongoing ML product development and continuous model improvement

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Dedicated Team

A complete AI/ML team including data engineers, ML engineers, and MLOps specialists working exclusively on your AI initiatives.

  • Full-stack ML team with data engineering
  • Dedicated project manager
  • Custom team composition
  • Shared or dedicated GPU infrastructure
Best for

Enterprise AI platforms and multi-model production systems

Get Started

Related Services

Explore our complementary services that work hand-in-hand with our developer hiring solutions.

Frequently Asked Questions About Hiring AI/ML Developers

What types of AI/ML projects can your developers handle?
Our AI/ML developers handle a broad range of projects including predictive analytics, natural language processing (chatbots, sentiment analysis, document classification), computer vision (object detection, image segmentation, OCR), recommendation systems, time series forecasting, anomaly detection, and generative AI applications using large language models. They work across industries including healthcare, finance, retail, manufacturing, and technology.
Do your AI/ML developers have experience with large language models?
Yes, our team includes engineers who specialize in working with large language models including GPT, LLaMA, Mistral, and Claude. They have experience with fine-tuning LLMs for domain-specific tasks, building RAG (Retrieval-Augmented Generation) pipelines with vector databases, prompt engineering, and deploying LLM-powered applications at scale with appropriate guardrails and cost optimization strategies.
How do your AI/ML developers handle the complete ML lifecycle?
Our developers manage every phase of the ML lifecycle: data collection and preprocessing, exploratory data analysis, feature engineering, model selection and architecture design, training and hyperparameter tuning, evaluation with rigorous metrics, deployment to production using containerized serving infrastructure, and ongoing monitoring for model drift and performance degradation. They use MLOps tools like MLflow, Weights & Biases, and cloud-native ML services to ensure reproducibility and traceability.
What cloud platforms do your AI/ML developers work with?
Our engineers have hands-on experience with AWS SageMaker, Google Vertex AI, and Azure Machine Learning for model training and deployment. They are proficient in using GPU instances, managed training jobs, model registries, and inference endpoints across all major cloud providers. They can also work with on-premises GPU clusters and hybrid cloud setups depending on your data governance requirements.
Can your AI/ML developers work with our existing data infrastructure?
Absolutely. Our developers integrate seamlessly with existing data stacks including data warehouses like Snowflake and BigQuery, data lakes on S3 or GCS, orchestration tools like Apache Airflow, and streaming platforms like Apache Kafka. They can work with structured and unstructured data of any scale and are experienced in data quality assessment and preparation for ML model training.
How do you ensure the quality and reliability of ML models?
We follow rigorous ML engineering practices including cross-validation, holdout test sets, statistical significance testing, and A/B testing in production. Our developers track experiments systematically, version datasets and models, and implement monitoring dashboards to detect model drift, data quality issues, and performance degradation in real-time. They also conduct fairness and bias assessments to ensure responsible AI deployment.
What is the typical timeline for an AI/ML project?
Timelines vary significantly based on project complexity. A feasibility study or proof-of-concept typically takes 2-4 weeks. A production-ready ML model with proper evaluation and deployment can take 6-12 weeks. Complex multi-model systems or enterprise AI platforms may require 3-6 months. We provide detailed timeline estimates after understanding your data readiness, model complexity requirements, and integration needs.
Do your developers handle data preprocessing and feature engineering?
Yes, data preprocessing and feature engineering are critical steps that our ML engineers excel at. They clean and transform raw data, handle missing values and outliers, create meaningful features from domain knowledge, and build automated feature pipelines. They understand that the quality of data preparation directly impacts model performance and invest appropriate effort in this foundational work.
Can your AI/ML developers build real-time inference systems?
Yes, our developers have experience building low-latency inference systems using TensorFlow Serving, NVIDIA Triton Inference Server, and custom FastAPI endpoints with model optimization techniques including quantization, pruning, and distillation. They can deploy models for real-time predictions with sub-100ms latency requirements using GPU-accelerated serving infrastructure.
How do your AI/ML developers stay current with rapid advancements in AI?
Our AI/ML team maintains a culture of continuous learning through regular paper reading groups, conference attendance at events like NeurIPS and ICML, hands-on experimentation with new frameworks and model architectures, and internal knowledge sharing sessions. Several team members are active contributors to open-source ML projects and maintain technical blogs covering the latest developments in the field.

Hire AI/ML Developers with Cozcore Technology

Stop searching and start building. Share your requirements today and we will connect you with pre-vetted, experienced developers who are ready to contribute from day one.