ML/AI Engineer

@AwaisChaudhry

Hi, I am excited about the opportunity to work as your ML/AI Engineer. With a strong foundation in Python and extensive hands-on experience deploying machine learning models in cloud environments, I am confident in my ability to meet your needs effectively. I have successfully utilized Jupyter/Colab for model development and am well-versed in MLOps tools for versioning and orchestration, ensuring smooth deployments and monitoring. My experience with AWS cloud platforms enables me to deploy production-level ML models seamlessly. I also have practical knowledge in improving model efficiency through optimization techniques such as latency and throughput management. I understand the importance of building robust ML pipelines, implementing CI/CD workflows, and monitoring model performance. I propose to initiate this project with a comprehensive plan in place that ensures model efficiency, reliability, and scalability. I would love to discuss your specific needs and how I can best contribute to your project Could you provide more details on the specific ML applications you are targeting?. Best regards,

@irsolutions

With over 10 years of experience in ML/AI engineering and a strong proficiency in Python, I understand the need for a skilled engineer like you. Your project requires hands-on experience deploying machine learning models in cloud environments, which aligns perfectly with my expertise. I have a proven track record in deploying ML models in production and have worked extensively with MLOps tools, cloud platforms (including AWS), and model optimization techniques. In the past, I have successfully implemented CI/CD pipelines, monitored model performance, and improved efficiency through various techniques. In the realm of ML/AI, I have tackled real product tasks such as NLP and generative models, showcasing my ability to apply cutting-edge technology to practical solutions. With a keen eye for detail and a focus on optimization, I am confident in delivering results that exceed your expectations. If you are looking for a dedicated ML/AI Engineer who can bring your project to life, I am ready to collaborate with you. Let's discuss how we can take your project to the next level.

@leadconcept

Greetings, I reviewed your brief and can support the design, deployment and optimisation of machine learning models in a cloud environment with strong Python based development and full MLOps coverage. I can build model pipelines, automate versioning and deployment, set up CI and CD, integrate monitoring and improve inference performance for production workloads. Before moving ahead, could you confirm, 1. Is Amazon Web Services the primary cloud platform or do you plan a multi cloud setup 2. Do you already have an existing pipeline using Airflow or should I configure it from scratch 3. Are the models already selected or will I assist with optimisation and inference tuning as well Our team includes experienced machine learning and artificial intelligence engineers with expertise in Python, model deployment, GitHub Actions based automation, Airflow orchestration, monitoring tools and production optimisation techniques covering latency, throughput, batching and caching. Let us connect for a short discussion so I can share the architecture plan and delivery approach. Current bid is only a placeholder to initiate the conversation. Regards, Yasir LEADconcept PS: I can share examples of MLOps pipelines and production deployments we have delivered for similar projects.

@hireageek

Hi, I understand you're in need of a proficient ML/AI Engineer with extensive Python expertise and experience in deploying machine learning models in cloud environments. With my background as a top California freelancer, I've successfully managed several projects that require the very skills you’re looking for, including model versioning and deployment with MLOps tools. My hands-on experience with AWS, as well as proficiency in CI/CD processes using GitHub Actions, has allowed me to optimize ML pipelines effectively for various production needs. I'm also well-versed in monitoring model performance and making continuous improvements to enhance efficiency, ensuring the models run smoothly and effectively meet product requirements. I would love to discuss how I can contribute to your project. Please message me at your earliest convenience. What specific challenges are you currently facing with your ML models that you would like me to address?

@tangramua

Dear aisolutionworld,   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 Python, Cloud Computing, Machine Learning (ML), Hadoop, Data Science, Continuous Integration, Model Monitoring, Model Deployment, MLOps 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.   

@corpmember29

ML/AI CLOUD ENGINEER – MODEL DEVELOPMENT & DEPLOYMENT I am an experienced Python developer and MLOps practitioner with a strong track record in designing, deploying, and optimizing machine learning models in cloud environments. I am excited to contribute to building robust, production-ready ML pipelines. Key Skills & Experience: Proficient in Python, Jupyter, and Colab for model development and experimentation Hands-on experience with MLOps tools: model versioning, deployment orchestration, and monitoring Strong background in cloud platforms, particularly AWS, deploying models to production environments Responsibilities I Can Take On: Design and optimize ML development and deployment pipelines Implement automated CI/CD for models, including testing and validation Build scalable ETL and training workflows using modern orchestration tools Monitor, evaluate, and tune deployed models for performance and efficiency I bring both technical expertise and production-level experience, ensuring models are not only accurate but scalable and reliable in cloud environments. I am ready to start immediately and deliver well-documented, maintainable pipelines. Looking forward to discussing how I can support your ML initiatives.

@chraheelbhatti

As an experienced practitioner of Machine Learning (ML) and Artificial Intelligence (AI), I believe my skills align excellently with the technical requirements of this project. Having deployed ML models in cloud environments, such as the AWS platform underpinning preferred here, I'm confident in my abilities to handle the model versioning, deployment/orchestration, monitoring demanded for the task. I offer far more than tools familiarity - my work with voice recognition systems at prestigious institutions like Unilever Pakistan demonstrate a comprehensive understanding of all aspects of ML deployment and optimization. Lastly, having had major roles in AI-powered systems for diverse applications like surveillance and automated workflows, I have excelled in employing ML/AI to real-world tasks like NLP, LLMs generative models, thereby exemplifying what you've classified as "nice to have". With expert skills in Python, CI/CD techniques including GIT based ones along with hands-on experience AWS Lambda Vertex AI SageMaker make hiring me a smart investment for your project's successful execution. Let's ignite some creative sparks together!

@ntsolutions

Dear Client, We, N&T Negocios y Tecnologias s.r.l., are a leading IT company with 20 years of experience in developing web, mobile, blockchain, and AI projects. We pride ourselves on delivering high-quality solutions to our clients and staying ahead of the curve when it comes to technological advancements. For the ML/AI Engineer project, we propose the following solutions: 1. Design and optimization of ML model development and deployment pipelines. 2. Implementation of CI/CD (GitHub Actions) for model testing and validation. 3. Building ETL and training pipelines using CI/CD and Airflow. 4. Monitoring and analyzing model performance using modern monitoring tools. In terms of architecture and technology, we recommend using Python for its flexibility and ease of use, along with Jupyter/Colab for data exploration and modeling. For model deployment in cloud environments, AWS would be the preferred cloud platform due to its robust infrastructure and scalability options. We believe that with our expertise in AI and machine learning, coupled with our experience in deploying models in cloud environments, we are well-equipped to handle the requirements of the project. Our team of qualified engineers will ensure that the project is completed to the highest standards and within the specified timeline. We look forward to your favorable response and the opportunity to work together on this exciting project. Sincerely, N&T Negocios y Tecnologias s.r.l.

@softsolution2000

I am confident that my skills in Python, Cloud Computing, Machine Learning (ML), Hadoop, and Data Science align perfectly with the requirements for the ML/AI Engineer project. I have extensive experience in deploying ML models in cloud environments and using MLOps tools for model versioning and deployment. My expertise in optimizing model development pipelines and implementing CI/CD with GitHub Actions make me a strong candidate for this role. I am eager to discuss the project scope and adjust the budget accordingly. Please go through my profile, with 15 years of experience, to see the quality of work I deliver. Let's connect to further discuss the details and get started right away.

@jmvdesignsohio

Hi, I’m an ML/AI engineer with strong Python expertise and hands-on experience deploying and maintaining machine learning models in cloud environments. I’ve designed and optimized full MLOps pipelines—covering model versioning, CI/CD automation, orchestration (Airflow, Kubeflow), and performance monitoring—for both research and production systems. My background includes AWS-based deployments (SageMaker, Lambda, ECS) and efficient inference design through batching, caching, and model compression. I’m fluent in Jupyter/Colab workflows, GitHub Actions, and Docker-based CI/CD for reproducible training and deployment. I’ve also applied NLP and generative AI models in production contexts, optimizing latency and cost. I can ensure your ML lifecycle—from data ingestion to live model monitoring—is reliable, scalable, and well-documented. Best regards, Joseph

@KarthikTechCon

Hi, I’m Karthik — Senior ML/AI Engineer & Python Developer with 10+ years of experience delivering production-ready ML systems, cloud deployments, and full MLOps pipelines. I’ve built and deployed models across NLP, LLMs, classification, forecasting, and generative AI using AWS, Docker, and CI/CD automation. What I Bring: • Expert-level Python with Jupyter/Colab, NumPy, Pandas, PyTorch/TensorFlow. • Hands-on MLOps experience: model versioning, experiment tracking, deployment (Docker, AWS Lambda/ECS), orchestration, and automated retraining. • Strong AWS experience: S3, ECR, Lambda, EC2, Step Functions, SageMaker. • Experience optimizing inference (latency, batching, caching, quantization, ONNX). • Solid background in LLMs, embeddings, NLP pipelines, vector DBs, and generative models. Responsibilities I Can Take Over: • Design & optimize ML pipelines (training → evaluation → deployment). • Build ETL workflows and Airflow DAGs for scheduled training and data prep. • Implement CI/CD via GitHub Actions with automated tests, validation & model packaging. • Monitor model performance with Prometheus, Grafana, SageMaker Metrics or custom dashboards. I can join immediately, communicate clearly (B2+ English), and deliver reliable, scalable ML deployments. Ready for a long-term collaboration.

@mughiraaa

Hi, I read your project description carefully and understand you're seeking an experienced ML/AI engineer with strong Python skills and cloud deployment expertise. At Mkaits Technologies, we have extensive experience in deploying machine learning models on AWS and other cloud platforms. Our team excels in managing ML workflows, versioning, and monitoring. We also have hands-on experience working with NLP, large language models, and generative AI, focusing on improving inference speed, efficiency, and scaling. Our approach would involve assessing your current pipeline, optimizing model deployment strategies, and setting up automated CI/CD workflows to ensure continuous integration and delivery. We focus on making your models perform efficiently in production environments, reducing latency, and increasing throughput. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in the chat. Best, Mughiraa

@ravd82

As the ML/AI Engineer with exposure to a wide range of technologies, I am excited for the opportunity to showcase my proficiency in Python and my hands-on experience deploying machine learning models in cloud environments, specifically AWS. In addition to solid experience with Jupyter/Colab and MLOps tools, I emphasize CI/CD, a crucial aspect of deploying ML models which includes model testing and validation. I am well-versed in setting up ETL and training pipelines using Airflow and CI/CD. My skills extend to not only building the pipeline but also closely monitoring and analyzing model performance using modern monitoring tools as the project requires. I believe in creating holistic strategies that address business needs and pain points by providing efficient solutions. In regards to 'Nice to Have' list, I have prior experience applying ML/AI to real product tasks notably NLP and LLMs which would be highly valuable for your projectю Being skilled at improving model efficiency including latency, throughput, caching, batching, compression etc also aligns well with your requirements. To sum it up, my comprehensive skill set matches the requirements needed fort this project. I'm keen to contribute my knowledge, dedication, and relevant industry experience into advancing your needs. That said, I look forward to hearing from you soon!

@Web1devloper

As an experienced ML/AI Engineer with a strong Python skill set, I believe I am the ideal candidate for your project. I have built and deployed machine learning models in production environments and am well-versed in MLOps tools, such as model versioning, deployment, and monitoring. My proficiency in Python, Jupyter/Colab coupled with my experience using AWS will enable me to hit the ground running. I understand the importance of model efficiency and can apply strategies like caching, compression and batching to improve latency and throughput while conserving resources. Additionally, my familiarity with CI/CD using platforms like GitHub Actions will streamline not just the development process, but also model testing and validation that you already outlined in your requirements. Lastly, I'm a proactive problem-solver who doesn't shy away from a challenge. My diverse skillset minimum B2 English proficiency and experience with real product tasks from NLP to LLMs aligns comfortably with your 'Nice-to-Have' list. Taking everything into account, I'm quite confident in my capabilities to design optimal ML pipelines bag be a valuable asset towards deploying efficient machine learning models for your project. I'd love to discuss this opportunity further and bring my skills to support your mission.

@sekai1116

---------------------------------✅✅✅✅✅ Top Rated Expert HERE ✅✅✅✅✅---------------------------------- With extensive experience in building high-performance applications, I am confident in my abilities to meet and exceed your expectations for an ML/AI Engineer. My 8 years of expertise spans not only Python but various other languages such as Node.js, Java, and Swift - blending my skills into powerful solutions that create real-world impact. Specifically relating to your project, I have hands-on experience deploying machine learning models in cloud platforms like AWS and have adeptly utilized toolchains like Jupyter/Colab, lending me a deep understanding your MLOps environment. My work does not stop at the completion of development - I pride myself on building and scaling robust production pipelines, taking advantage of CI/CD and Airflow elements. To maximize model efficiencies while maintaining top-notch performance, I bring not only an expert grasp on model inference but also practical experience in optimizing these models using various techniques such as caching, batching, compression etc.

@Erantkm

As a seasoned ML/AI engineer, I possess not only the strong Python skills you're seeking but also extensive hands-on experience deploying machine learning models in cloud environments. I’m well-versed with MLOps tools and have a solid understanding of model inference, optimization techniques, and production-level deployment—essential skills for your project. Additionally, my proficiency extends to leveraging various cloud platforms such as AWS and deploying ML models into production stages. Moreover, I've applied ML/AI solutions effectively in a variety of real product tasks; NLP, LLMs, and generative models – an asset that will enrich your project immensely. Furthermore, optimizing model efficiency including latency, throughput, caching, batching is a skillset I excel in – thereby promising faster results without compromising quality. In summary, my proficiency and tailor-made expertise in Python, Jupyter/Colab and the preferred AWS platform deeply align with this project's objectives. I am confident that my strong problem-solving acumen coupled with my substantial experience in designing and optimizing ML model development pipelines make me the perfect fit for your team. Let's collaborate to transform your vision into actionable intelligence!

@revival786

Greetings! I’m a top-rated freelancer with 15+ years of experience and a portfolio of 700+ satisfied clients. I specialize in delivering high-quality, professional ml/ai services tailored to your unique needs. Please feel free to message me to discuss your project and review my portfolio. I’d love to help bring your ideas to life! Looking forward to collaborating with you! Best regards, Revival

@Appworldz

Hello! I am an experienced ML/AI engineer with a strong command over Python and MLOps. Having deployed multiple ML models in AWS and cloud environments, I understand production-grade challenges like efficient model versioning, CI/CD (GitHub Actions), orchestration, and real-time monitoring. Could you clarify your current tech stack: Do you use AWS Sagemaker, ECS, Lambda, or Kubernetes for inference? Should new ETL pipelines integrate with existing processes or replace them? I estimate an initial integration and deployment in around 20 days. Looking forward to contributing scalable, robust ML solutions. Let's schedule a quick call to discuss priorities and milestones! Best Regards Sahanaj

@ShekhWebDev21

Hi there. I'm Shekh Mohd, an ML/AI Engineer with a strong Python background and experience with ML/Ops tools. My focus is on applying machine learning in real product tasks, which aligns well with your Nice to Have criterion. Combined with this, I have the necessary cloud platform experience, particularly with AWS, which will be valuable for deploying your ML models into production. What sets me apart is my deep knowledge of not just model development, but also deployment pipelines. For instance, I have employed CI/CD using GitHub Actions for model testing and validation, which is one of your stated objectives. Additionally, my skills in ETL and training pipelines using CI/CD and Airflow can be leveraged by your team to streamline the process further. Reply in few minutes. Thanks