You will get Scalable ML & MLOps Deployment for Real-Time AI Solutions
Project details
I will provide a scalable, production-ready machine learning solution tailored to your business needs. With 7+ years of experience in MLOps and AI deployment, I specialize in building and optimizing ML models, integrating them into cloud infrastructures (AWS, GCP, Azure), and ensuring seamless real-time inference via high-performance APIs. Whether you need a custom ML pipeline, LLM integration, or AI optimization, I will deliver a secure, efficient, and fully documented solution.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, ChatGPT, fastText, GPT-3, Keras, Kubeflow, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, Stanford CoreNLP, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $500
Additional Revision
+$50
Additional Model Variation
(+ 3 Days)
+$200
Additional Scenario
(+ 2 Days)
+$150
Additional Graph/Chart
(+ 1 Day)
+$50
Data Source Connectivity
(+ 5 Days)
+$300
Source Code
(+ 3 Days)
+$500Frequently asked questions
10 reviews
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EK
Elias K.
May 29, 2024
30 minute consultation
RB
Ronda B.
May 19, 2023
Developer to pull data from various websites
Thanks for your service. A++
DK
Dmytro K.
May 5, 2023
Need ML specialist to help with an existing project, related to Upwork job search
Benny is a fantastic person and a good specialist. He's always fast in responses, he knows his job very well, and I highly recommend anyone to hire him. Benny, thanks!
RB
Ronda B.
Nov 21, 2022
Full-Stack Software Developer
Well done! It was a pleasure to work with Benny. Would like to continue working with him on another project. Thanks.
FG
Franco Ezequiel G.
Oct 18, 2022
Artificial Intelligent & Machine Learning
Good work!
About Benny
Senior Machine Learning & MLOps Engineer
Vina del Mar, Chile - 9:00 am local time
I'm a Senior Machine Learning Engineer with 7+ years of hands-on experience architecting, deploying, and optimizing end-to-end ML pipelines. I’ve led AI initiatives in diverse settings—from enabling facial recognition and real-time LLM services at the Congress of Chile, to building Job-Boost APIs and AI-driven resume optimizers at fast-growing tech companies in New York.
⭐ Highlights & Achievements:
- Facial Recognition & NLP: Built a robust facial recognition system (DeepFace + AWS stack) and integrated advanced LLMs for real-time transcription and chat-driven legislative queries.
- End-to-End MLOps: Expert with Docker, Kubernetes, Portainer, Celery, and Redis—ensuring seamless deployment and high-performance GPU/TPU workflows (NVIDIA A100/H100).
- Career.io’s Job-Boost API: Implemented ML-driven resume optimizations, job recommendations, and skill extraction—boosting user productivity by 95% and job-match success rates by 93%.
- Database & Cloud: Proficient with MongoDB, SQL, and major clouds (AWS, Azure, GCP).
- Consistent 5.0 Upwork Rating: Delivered numerous AI, NLP, and web scraping projects to global clients with a 100% success record.
Core Competencies:
- Machine Learning (supervised, unsupervised, deep learning, reinforcement learning)
- Natural Language Processing (BERT, GPT, Transformers, RAG, Faster-Whisper)
- MLOps & Model Serving (TensorRT, ONNX, Triton Inference Server, CI/CD)
- Big Data & Analytics (Apache Airflow, Kubeflow, large-scale data pipelines)
- Performance Optimization (CUDA, distributed training with Horovod)
I'm committed to delivering high-impact solutions that solve real-world problems—whether you need quick consulting or a fully architected ML system. My goal is to push the boundaries of AI and empower organizations with robust, scalable, and cost-effective ML infrastructures.
Ready to collaborate? Let’s connect and turn your ideas into transformative AI solutions!
Steps for completing your project
After purchasing the project, send requirements so Benny can start the project.
Delivery time starts when Benny receives requirements from you.
Benny works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation & Requirement Analysis
- Conduct a 30-minute consultation to refine the project scope. - Analyze provided infrastructure and dataset (if applicable).
Architecture & Model Selection
- Design ML pipeline architecture. - Select the best ML model/framework for deployment.