Looking for an Experienced AI Engineer (Freelance/Contract)

@MashoodurRehman1

I am an experienced AI Engineer with a strong track record in developing and deploying AI/ML models tailored for real-world applications. With a solid foundation in Python and extensive experience using frameworks like TensorFlow, PyTorch, and scikit-learn, I possess the technical skills necessary to excel in this freelance role. My hands-on approach and ability to work independently align well with your need for a solution-oriented professional. In my previous projects, I have developed predictive models using both structured and unstructured data, seamlessly integrating them into existing systems with APIs and cloud platforms such as AWS and GCP. My familiarity with LLMs and NLP, along with my ability to optimize model performance, ensures that business needs are accurately translated into technical solutions, producing scalable and high-performing results. I am keen to discuss how I can contribute to your project and am happy to provide more details on my availability and hourly rate. Please let me know if further information is needed.

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re looking for an experienced AI Engineer to help design and build AI models. It sounds like an exciting opportunity to leverage machine learning and cloud services. I’ve worked on several AI projects, developing and integrating models using Python and AWS. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – What specific AI models or algorithms are you planning to implement? – Q2 – Are there any existing systems or datasets we should integrate with? – Q3 – What are the expected user roles and permissions for accessing the AI features? Looking forward to hearing from you.

@irsolutions

With over a decade of experience in AI/ML development and high-scale systems, I understand your need for an experienced AI Engineer to design, build, and deploy intelligent solutions. My background in scaling projects for over 1 million users and working in high-security FinTech environments directly applies to the challenges of optimizing AI models for performance, scalability, and accuracy in real-world applications. A strategic insight for ensuring project scalability is to implement MLOps pipelines, allowing for streamlined model deployment and continuous optimization. I have successfully integrated AI models into production systems, like the Telegram Mini Apps, serving a vast user base. This experience showcases my ability to handle the complexity of your project with ease. I encourage you to reach out to discuss how I can contribute to your project's success. Let's connect to explore your roadmap and ensure the seamless development and deployment of intelligent solutions.

@Softeria

✅ Proposal for Looking for an Experienced AI Engineer (Freelance/Con With proven expertise in AI and machine learning, I am equipped to design, build, and deploy cutting-edge solutions tailored to your needs. My background includes extensive experience with Python, TensorFlow, PyTorch, and scikit-learn, enabling efficient model development and optimization. I have successfully integrated AI models into various systems, improving scalability and accuracy. My ability to work independently and communicate effectively makes me an ideal candidate for this freelance role. I am ready to start immediately and look forward to delivering impactful results. Lets discuss further.

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Java, Python, Machine Learning (ML), Amazon Web Services, Git, AI Model Development, AI Model Integration, AI Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@Herculesz

Hi Your role requires someone who can move beyond experimentation and actually deliver production-ready AI solutions integrated into real workflows and systems. I work with Python-based ML stacks including TensorFlow, PyTorch, and scikit-learn, and have experience deploying models through REST APIs, Dockerized services, and cloud-ready pipelines. A common challenge in freelance AI engagements is that models perform well in notebooks but fail when integrated into live environments due to scaling, latency, or data consistency issues. I address this by designing deployment-aware model architectures from the start, including API interfaces, monitoring hooks, and reproducible pipelines that support reliable production use. I’m comfortable building predictive or generative solutions using structured and unstructured datasets and integrating LLM or NLP components when workflows benefit from automation or semantic understanding. My approach also includes performance tuning, versioning strategies, and lightweight MLOps practices so your systems remain maintainable after delivery. I work independently with clear communication and can translate business requirements into practical AI implementations that fit existing infrastructure. Thanks, Hercules

@ludiac

Hi, I’m an experienced AI Engineer with a strong background in building and deploying production-ready ML and AI systems across NLP, computer vision, and automation workflows. I work extensively with Python, PyTorch, TensorFlow, and FastAPI, and I’m comfortable taking solutions from idea → model → deployment. What I bring: • End-to-end model development (data → training → optimization → deployment) • Experience with LLMs, RAG pipelines, and AI agents • Scalable deployments using Docker, AWS/Azure, and REST APIs • Focus on performance, cost-efficiency, and real-world reliability I’ve delivered multiple AI solutions including RAG-based systems, data analytics pipelines, and automation agents. Relevant Projects: https://www.freelancer.com/projects/php/Sharepoint-RAG-SQL-GPT-agent/reviews https://www.freelancer.com/projects/php/SQL-RAG-GPT-Agent-with/details https://www.freelancer.com/projects/php/OpenAI-Prompts-for-Telco-Support/reviews https://www.freelancer.com/projects/gpt-agent/Data-Analyst-Required/reviews Availability: Immediate Rate: $25 per hour Happy to discuss your requirements and start quickly. Thanks

@corpmember29

I HAVE DESIGNED AND DEPLOYED PRODUCTION-READY AI SYSTEMS USING PYTHON, LLMs, AND SCALABLE CLOUD ARCHITECTURES—DELIVERING REAL-WORLD, HIGH-IMPACT SOLUTIONS. I’m a hands-on AI/ML engineer with strong experience building predictive and generative systems, integrating them into live environments, and optimizing for performance and scalability. **Relevant Experience:** • Built ML models (classification, forecasting, NLP) using TensorFlow, PyTorch, and scikit-learn • Developed LLM-based solutions (chatbots, automation agents, AI copilots) • Worked with structured/unstructured data pipelines and feature engineering • Deployed models using Docker, APIs, and cloud platforms (AWS/GCP/Azure) • Optimized models for latency, accuracy, and production reliability **Approach:** • Understand business goals → translate into AI solutions • Design modular, scalable architecture • Develop, train, and validate models • Deploy via APIs/microservices with monitoring • Continuous optimization and iteration **User Roles:** • Admin/Stakeholders: Configure, monitor, and analyze outputs • End Users: Interact with AI-powered features • System: Handles inference, learning, and automation **Engagement:** Flexible (hourly/fixed) – rate can be discussed based on scope Happy to share relevant project examples and discuss your requirements.

@juanjosec63

Hi, Over 9 years experience in (Python, AI/ML, TensorFlow, PyTorch, scikit-learn, AWS, Docker, Kubernetes, and API-based model integration). For this project, I am going to design and deploy production-ready AI solutions by building and optimizing models on structured and unstructured data, integrating them into your existing systems via scalable APIs, and setting up a clean MLOps flow for monitoring, retraining, and performance tuning, ensuring the models are reliable and efficient in real-world usage. I have real hands-on experience delivering AI systems end-to-end, including LLM-based workflows, backend integration, and deployment pipelines where stability and scalability matter. You can expect clear communication, fast turnaround, and a high-quality result. Best regards, Juan

@quan9824

Hi, I’m an AI/ML engineer with strong hands-on experience building and deploying production-grade models across computer vision, NLP, and predictive systems. I’m comfortable taking projects from raw data all the way to scalable deployment. My background includes designing end-to-end pipelines in Python using PyTorch, TensorFlow, and scikit-learn, along with integrating models into real-world applications via REST APIs and containerized services (Docker, Kubernetes). I’ve worked on projects involving real-time computer vision, LLM-based workflows, and data-driven prediction systems, always with a focus on performance, reliability, and maintainability. I’m particularly strong in: • Turning business problems into practical AI solutions • Building clean, modular pipelines (data → model → deployment) • Optimizing models for latency, accuracy, and scalability • Working independently while maintaining clear communication I also have experience with MLOps practices such as experiment tracking, model versioning, and automated retraining workflows. I’m available to start immediately and can adapt to your project pace and requirements. I’m comfortable working freelance/contract and collaborating directly with stakeholders to deliver results efficiently. I can share relevant project examples upon request and would be happy to discuss your specific needs in more detail.

@redsparkinfo

Hello, Your requirement aligns closely with the kind of work we’ve been involved in over the past few years. We have been working hands on with AI and ML solutions, building models that move beyond experiments and actually perform in real environments. Our recent work includes developing predictive systems using structured data, as well as working with LLM based use cases where context handling and response quality were critical. We are comfortable working across the full cycle from understanding the business problem to building, testing, and deploying models. We usually work with Python using libraries like PyTorch and scikit learn, and have experience deploying models through APIs and containerized setups on cloud platforms. I also focus on keeping solutions practical, scalable, and easy to maintain. I have worked in setups where clear communication and independent ownership were important, so I am used to moving things forward without constant oversight while keeping stakeholders informed. Happy to share relevant project examples and discuss what you are aiming to build. I am available to start soon and can align on timelines and engagement based on your needs. Looking forward to hearing from you. Thanks Dhruv

@manojmalviya93

Hi there, I'm an AI and Python developer with a strong background in designing and building AI solutions. This project aligns well with my experience, and I'm confident I can contribute effectively to your team. I'm familiar with various AI frameworks and tools, and I'm eager to learn more about the specifics of your project. I'm available to start immediately and can dedicate the necessary time to ensure its successful completion. Let's chat about the project requirements and how I can help you achieve your goals.

@kareemmaize

Hi - the real challenge in AI work is usually not training a model, it is making sure the model stays useful once it is connected to real workflows. A solution can look strong in testing, but fail when live data quality shifts, latency increases, or outputs become hard for the business to trust. That is where most AI efforts stall, so I focus on the full path from model logic to production behavior. The flow is: business need is translated into a clear prediction or generation task -> data is prepared and validated -> model is trained or integrated -> API or service layer exposes it safely -> monitoring tracks quality, latency, and failures -> system can be improved without disrupting the product. The part to get right early is the model-to-workflow contract, because it affects both usefulness and reliability. This comes together cleanly once that boundary is set right.

@kumarashish99

With over 5 years of hands-on experience in AI/ML integration, backend development, and DevOps engineering, I am confident in my ability to help your team design, build, and deploy intelligent solutions efficiently and effectively. My familiarity with Python and libraries such as TensorFlow, PyTorch, and scikit-learn strengthens my understanding of the technologies crucial to this role. Moreover, my proficiency in deploying, managing, and scaling containerized applications on Kubernetes platforms like AWS EKS is directly aligned with your project's requirements. What sets me apart from other candidates is my dedication to creating scalable and secure cloud infrastructures while integrating advanced AI/ML solutions. I have previously worked on projects involving AWS AI/ML services such as Textract, Comprehend, Kendra, and Rekognition - experiences that have equipped me with the skills necessary to work within a fast-paced environment like yours. Lastly, my professional certifications including AWS Certified Solutions Architect – Associate and AWS Certified Practitioner attest to my expertise in AWS services and my commitment to staying up to date with the latest industry practices. I'm ready to leverage this experience for you right away if chosen for the project. Let's discuss the details further to ensure a smooth transition for your team.

@alizain721

You need someone who can build models and actually ship them into your systems — not just hand over a notebook. Most teams get stuck on integration, scaling, and inference monitoring long after the model looks good on paper; fixing that early saves time and cost. I recently delivered a PyTorch NLP classifier, containerized and deployed on AWS (ECS + CloudWatch), and integrated it into a support ticketing pipeline — cut triage time ~40% while keeping inference latency under 200ms. My approach: quick data audit, prototype a baseline model, wrap it as a containerized API, deploy to your preferred cloud with simple CI/CD and monitoring, then iterate performance (batching, quantization, caching) for scale. I’ll prioritize reproducibility and clear handoff docs. Do you have labeled data available and a preferred cloud or deployment target? I’m available ASAP for ~20 hours/week and my rate is $20/hr; I can share a short portfolio and the deployment repo on request.

@MQamar123

As an AI Engineer with an extensive experience of over 7 years, I believe I possess the qualifications necessary for this project. In addition to my expertise in Java and Python, which are the main languages in this role, I have an in-depth knowledge using libraries such as TensorFlow, PyTorch, and scikit-learn for the seamless design and deployment of AI/ML models. Not only have I utilized these skills for a variety of projects, but also adapted them to integrate AI models into existing systems effectively. Furthermore, I have hands-on experience with cloud platforms like AWS/Azure/GCP which complements my proficiency in APIs and model deployment using Docker/Kubernetes. To demonstrate my dedication and competence, Let's connect soon to discuss your further business needs!"

@ashinnd84

Hello there, we are a team of Full Stack Developers. Please, send me the project complete details to start the work. Thanks Ashish Kumar.

@techsty2014

Hello, I will contribute across the stack: Python with PyTorch/scikit-learn, FastAPI model serving, Docker, and deployment on AWS (SageMaker, ECS, or Lambda). For LLM work, I build RAG pipelines with pgvector or Qdrant, structured-output prompting, and evaluation harnesses so model changes do not silently regress answer quality. Production readiness call: most AI projects stall at deployment because observability is an afterthought. I wire token/latency/error dashboards, prompt version logging, and shadow-traffic eval from day one, so model or prompt swaps roll out with measurable confidence. Questions: 1) Primary use case (LLM, predictive, CV)? 2) Target cloud and existing serving infrastructure? 3) Data sources (structured DB, documents, APIs)? Looking forward to talking through the details. Faizan