Full-Stack AI/ML Engineer, CST Hours

@MashoodurRehman1

I am a skilled full-stack AI/ML engineer with extensive experience in developing and deploying machine learning models, specifically within the Healthcare, Finance, and Retail sectors. I have a strong command of Python, TensorFlow, and PyTorch, and am adept at managing cloud environments using AWS, Docker, and Kubernetes. My work aligns well with your project requirements, allowing me to effectively execute tasks from data exploration to real-time deployment. My background includes creating scalable APIs and batch processing pipelines, and I am proficient in using SQL for database management. I deliver production-ready models that meet strict efficiency standards and produce clear, reusable code documented for seamless hand-offs. Regular communication and updates are part of my workflow, ensuring transparency and alignment with business objectives. I am very interested in discussing how my skills can contribute to your project. Could you provide more details about the specific business goals you are focusing on for each sector? I am available for a discussion at your earliest convenience.

@gunslinger

Hey, This looks like a pretty hands on role, which I actually enjoy especially the part where it goes from raw data all the way to something usable in production. I’ve worked mostly with python based stacks, building data pipelines, APIs, and tying models into real apps, so I’m comfortable not just training models but also making sure they run reliably once deployed. I’m also used to working with AWS and Docker setups, so handling the infra side alongside the ML side isn’t an issue. I’m based in a timezone that overlaps well with CST and I’m available full time, so communication during your working hours won’t be a problem. Kindly contact me for further discussion.

@ZohaibRoy

⭐⭐⭐⭐⭐ Full-Stack AI/ML Engineer for Healthcare, Finance, and Retail Solutions ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project details and see you're looking for a versatile full-stack AI/ML engineer. You don’t need to look any further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects in AI/ML. I will explore raw data, clean it, and build robust models using Python, TensorFlow, and SQL, ensuring all deliverables meet your expectations. ➡️ Why Me? I can easily handle your AI/ML needs as I have 5 years of experience in data exploration, model design, and deployment. My expertise includes backend API development, feature engineering, and continuous model improvement. Additionally, I have a strong grip on cloud technologies like AWS, Docker, and Kubernetes, ensuring a smooth workflow for your project. ➡️ Let's have a quick chat to discuss your project in detail and I can provide samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Python Development ✅ TensorFlow ✅ PyTorch ✅ SQL ✅ AWS ✅ Docker ✅ Kubernetes ✅ Data Cleaning ✅ Feature Engineering ✅ Predictive Modeling ✅ CI/CD Pipelines ✅ API Development Waiting for your response! Best Regards, Zohaib

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re looking for a full-stack AI/ML engineer to collaborate Monday-Friday, 9 AM-5 PM CST. The goal seems to be developing and optimizing AI-driven solutions while leveraging various technologies like Java, Python, and Docker. I’ve worked on several AI and machine learning projects and understand the key technical challenges involved. I’m confident in my ability to contribute effectively to your team. I’d love to discuss the project details further and share how I can help streamline your development process. I have a few questions to get a better understanding: Q1 – What specific AI/ML tasks or projects will I be focusing on? – Q2 – Are there any existing systems or frameworks that I should integrate with? – Q3 – What are the primary user roles and their responsibilities in this project? Looking forward to hearing from you.

@AITSoft

Hello, I understand you need a hands-on, full-stack AI/ML engineer to work CST hours Monday to Friday, capable of switching between Healthcare, Finance, and Retail data, delivering end-to-end solutions from data wrangling to live deployment. My approach is practical and outcomes-driven: first, establish robust data pipelines and a feature store, with clean, well-documented code and CI/CD, to ensure reproducibility and fast iteration; next, design and train models with TensorFlow or PyTorch, optimize for the agreed accuracy and latency targets; then deploy to a cloud stack (AWS, Docker/Kubernetes) with reliable monitoring, automated retraining, and clear API surfaces for production use; finally, ship lightweight frontend hooks and batch pipelines as needed, plus a comprehensive hand-off package. Weekly progress updates will be concise and business-focused, and I will document decisions and results to keep stakeholders aligned. I will own the end-to-end stack and drive measurable value across Healthcare, Finance, and Retail datasets. What are the primary production targets for accuracy and latency, and do you have preferred metrics and monitoring tools? What is your data access policy and environment for CI/CD pipelines (code repositories, secret management, staging vs. production)? Are there existing data governance requirements (compliance, audit trails) I must align with? Do you prefer a single cloud provider or multi-cloud strategy, and what is your current AWS/Kube

@rohitpatidar001

With over 9 years of experience, I bring proficiency in Java and J2EE technologies to the table. With a specialization in Spring Boot–based microservices and RESTful APIs, I can skillfully tackle any backend challenges your project presents. Furthermore, my extensive experience with Docker, CI/CD pipelines, and AWS-based deployments positions me as the ideal candidate. Should I be chosen for this project, expect nothing short of clean and efficient code, well-documented architectures, and a reliable deployment process. Intriguingly enough, my previous experience also encompasses integration of REST-based AI/ML APIs into Java backends- precisely what your project demands. I understand how to build AI-enabled services while maintaining clean system boundaries, reliability, and scalability. Given our project's focus on Healthcare, Finance, and Retail verticals, my past work in enterprise-grade platforms in these sectors à la äi`Eëpcompliance or finance; highlights my ability to get up-to-speed fast. Lastly, it is especially important during these unprecedented times to hire someone who can maintain clear communication channels despite geographical distance. As an avid communicator fluent in English and available during your stated hours (Monday-Friday 9 AM-5 PM CST), you can rely on regular progress updates from me at each step of the way. Together we can take your project from data wrangling through confident production-ready model

@OutsourceMan

⭐⭐⭐⭐⭐ I believe my team at CnELIndia would be an excellent choice for your Full-Stack AI/ML project due to our extensive experience and intimate understanding of the technologies you require. We have spent decades honing and perfecting our skills in AI Development, API Development, and Python - the assets that I believe are crucial for this position. Our mastery extends to working with TensorFlow/PyTorch, SQL, AWS and Docker/Kubernetes to create efficient applications fitting for commercial use. Moreover, given our versatility and ability to work well within diverse contexts as well as our strong emphasis on communication makes me confident that we would mesh well with your team. Switching contexts quickly while maintaining focus on the 'big picture' is something we pride ourselves on and I believe this is vital in a project like yours which spans multiple domains. Finally, what distinguishes us is our commitment to end-to-end ownership which aligns perfectly with your need. We are ready to not only develop robust and accurate models but also deploy them in production and actively work towards their continual improvement. Our meticulous orientation towards documenting our code ensures succeeding engineers can pick up the mantle seamlessly. I look forward to discussing how my team at CnElIndia can best meet your specific project needs.

@ludiac

Hi, This role aligns perfectly with how I work I’m comfortable owning the full AI lifecycle from raw data → model → production deployment, and I’m available full-time (Mon–Fri, CST overlap) with clear, consistent communication. I’ve built and deployed AI/ML systems across domains (including healthcare-style data, financial analytics, and retail forecasting), handling everything from messy data pipelines to scalable model serving. Relevant work: https://www.freelancer.com/projects/php/OpenAI-Prompts-for-Telco-Support/reviews https://www.freelancer.com/projects/gpt-agent/Data-Analyst-Required/reviews https://www.freelancer.com/projects/php/Sharepoint-RAG-SQL-GPT-agent/reviews https://www.freelancer.com/projects/php/SQL-RAG-GPT-Agent-with/details If you’re looking for someone reliable who can take ownership end-to-end and keep things moving daily, I’d be glad to join and contribute. Thanks.

@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

@Herculesz

Hi I can join full-time during CST hours and take end-to-end ownership of your AI/ML pipeline across healthcare, finance, and retail use cases. The main technical challenge is building models that are not only accurate but also reliable in production, with clean data pipelines, low-latency APIs, and continuous monitoring. I work with Python, PyTorch/TensorFlow, SQL, and AWS, using Docker/Kubernetes for scalable deployment and CI/CD for reproducibility. I can handle data exploration, feature engineering, model design, training, and deployment, along with backend APIs and batch pipelines to serve predictions. I’ll also set up monitoring, logging, and retraining workflows to keep models performing over time. My focus is on production-ready systems with clear documentation so another engineer can step in without friction. I’ve worked on similar end-to-end ML systems involving real-time inference, data pipelines, and cloud deployment. Thanks, Hercules

@corpmember29

LET'S DRIVE YOUR COMMERCIAL APPLICATION TO SUCCESS WITH END-TO-END AI/ML SOLUTIONS. With 12+ years of experience in full-stack AI/ML engineering, I specialize in building production-ready models across diverse domains such as Healthcare, Finance, and Retail. I thrive on working with raw data, designing robust features, and deploying models that directly impact business outcomes. My experience in Python, TensorFlow/PyTorch, SQL, and cloud technologies (AWS + Docker/Kubernetes) aligns perfectly with the role you’re seeking. Approach: Data Exploration & Feature Engineering: Clean, preprocess, and transform raw datasets to create high-quality, actionable features tailored for each context (Healthcare, Finance, Retail). Model Development: Design, train, and optimize predictive models and algorithms using TensorFlow/PyTorch, ensuring they meet accuracy and latency targets. Backend & Deployment: Develop backend APIs and batch processing pipelines for model deployment. Use CI/CD pipelines for continuous integration, ensuring seamless updates and monitoring of live models. Let’s connect and discuss how we can achieve your AI/ML goals efficiently and effectively.

@kareemmaize

Hi - the real challenge here is not building models, it is keeping them reliable as data shifts across healthcare, finance, and retail without constant regressions. I’d anchor the work around one clean pipeline and expand from there while maintaining observability. Raw data comes in - cleaned and validated - features are generated - model trains - API serves predictions - monitoring tracks drift and accuracy - retraining triggers when thresholds drop. Looks correct, but fails when feature definitions silently change between datasets. Data drift can cause model decay in real use, so I handle it with versioned features, validation checks, and automated retraining hooks. Input - raw data. Processing - pipelines + models. Output - stable predictions. The part to get right early is the feature and data contract layer.

@hoangnn90

✅Full Experience in Data Processing and Commercial Application with Python Programming(AI/ML)✅. ✳️I am very confident that complete your project perfectly. ✳️I can guarantee the quality of the job and deliver the result on time. I hope we will discuss in more detail via chat. Best regards!

@juanjosec63

Hi, I have 9 years experience in Python, TensorFlow/PyTorch, SQL, Docker/Kubernetes, AWS, and end-to-end ML system development. For this project, I will handle the full pipeline from data cleaning and feature engineering to model training, API deployment, and production monitoring, ensuring reliable performance, scalable architecture, and clear integration across healthcare, finance, and retail use cases. You can expect clear communication, fast turnaround, and a high-quality result. I’m comfortable working full-time in CST hours and have built production ML systems with CI/CD, optimization pipelines, and continuous improvement workflows. Best regards, Juan

@quan9824

Hi, This role aligns closely with my experience building end-to-end AI/ML systems in production, and I’m available Monday–Friday, 9 AM–5 PM CST with clear, consistent communication. I’ve worked across healthcare, finance, and retail, handling everything from messy raw data to deployed models and APIs. What I bring: • Strong Python stack (Pandas, NumPy, PyTorch/TensorFlow) • Feature engineering, model training, and evaluation • Backend APIs (FastAPI), batch pipelines, and data workflows • Cloud deployment (AWS, Docker, Kubernetes) • Monitoring, retraining pipelines, and performance tuning How I work: • Start with data exploration → clean, validate, and build robust features • Select models based on business goals (not just accuracy) • Deploy with scalable APIs + scheduled pipelines • Track performance (latency, drift, accuracy) and iterate continuously Deliverables: • Production-ready models meeting accuracy/latency targets • Clean, reusable code with documentation • CI/CD pipelines for training + deployment • Weekly updates and clear hand-off packages Experience: Built predictive systems (forecasting, classification, optimization) and deployed them with real-time and batch processing in cloud environments. I’m comfortable owning the full lifecycle and adapting quickly across domains. Ready to start immediately ?

@nrajuu07

As an experienced machine learning engineer, I pride myself on being able to deliver reliable ML systems built on real-world data, making me the perfect fit for the diverse needs of this commercial application in Healthcare, Finance, and Retail. My proficiency in using Python with TensorFlow/PyTorch, SQL and cloud stacks will ensure seamless integration into your workflows. Moreover, my tailored experience in medical image analysis, deep learning and time series forecasting perfectly aligns with your project's needs. Whether it’s tackling MRI, CT scans or EEG/ECG biosignal processing or demanding anomalous prediction in finance or industrial domains - I've done it all! If you're seeking end-to-end ownership of your AI system with well-documented code and smooth weekly progress updates - let me be your go-to expert!

@toriquldev123

At Toriqul Global Solutions, we transform ideas into high-performing digital products. We are a professional web development agency led by Engineer Md. Toriqul Islam brings over a decade of expertise in designing and developing websites, applications, and custom digital solutions. What We Deliver: ✔ Stunning modern websites ✔ Powerful custom web applications ✔ Mobile apps for Android & iOS ✔ E-commerce platforms ✔ Business automation systems ✔ SEO-friendly and fast-loading websites Our Tech Stack: React, Node.js, Laravel, PHP, WordPress, Python, .NET, MySQL, MongoDB, React Native, Bootstrap, JavaScript, and more. Why Clients Trust Us: • Business-focused solutions • Clean UI/UX design • Secure & scalable systems • Reliable deadlines • Transparent communication • Excellent after-sales support We don’t just build websites, we build results. Let’s create something amazing together. Best Regards, Toriqul Global Solutions

@Hubready

... Hello! I am a Florida-based senior software engineer with over 15 years of experience in full-stack development and AI/ML technologies. I’ve read your project description carefully and am excited about the opportunity to collaborate with you Monday to Friday, 9 AM-5 PM CST. I specialize in building production-grade software, including AI automation, data pipelines, and e-commerce systems. I have hands-on experience with Java, Python, SQL, and Docker, ensuring that I can contribute effectively to your project. To help me better understand your needs, could you please clarify the following questions? 1. What specific AI/ML applications or features are you looking to implement? 2. Are there any existing systems or platforms that I need to integrate with? 3. What are the key performance metrics you're aiming to achieve during this project? My approach includes clear communication, structured milestones, and production-ready code. I believe that successful projects require not just technical expertise but also an understanding of business goals. Let’s connect and discuss how I can help bring your vision to life! - James

@johibkhan

Hi, With my extensive experience in both backend and frontend development, combined with AI and ML expertise, I am confident I can be a great addition to your team. Throughout my career, I have worked on diverse, impactful projects for major companies like Avaya and CGI, which involved deep data exploration, model development using TensorFlow/PyTorch, and deployment on cloud platforms such as AWS with Docker/Kubernetes. This aligns perfectly with the varied nature of your project spanning Healthcare, Finance, and Retail. Given your preference for Python with TensorFlow/PyTorch and SQL, I have gained significant mastery over these tools in my 8+ years of practice. Having developed robust models for trading platforms and fintech applications that consistently met high accuracy/latency targets, I am confident in my ability to deliver production-ready models for your project. Additionally, being a full-stack engineer with a strong focus on efficient coding and scalable architectures makes me adept at not just developing models but at designing and managing the entire workflow from raw data wrangling to live deployment. Finally, I am fluent in English and your time zone aligns perfectly with my working hours.