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UKEESS Software House
about the command: span >
Data Science provide their models with our team in the form of Python-Packages through Model RepoS. . We create and operate data in AWS using Terraform and Python to obtain images, run them through models and return the data in the form of JSON Messages. Our projects process millions of images a day. We focus on bandwidth, cost and error processing. span>
you will be involved in studying our deployment model and take responsibility for creating and exploitation of new Pyplans. FONT-STYLE: NORMAL; P> Optimization of models for efficiency, scalability and output in the Production Environment : none "> Support and Improvement of MLOPS Working Processes, including models, monitoring and retraining. span> To be aware of the latest achievements in the field of machine learning and artificial intelligence technologies Required Experience and Skills: 4+ years of experience in creating and deploying apps on Python span> Practical experience in working with Machine Learning 3+ years of code deployment experience in AWS (including EC2, SQS, SNS, S3, Lambda) Commercial Experience with Terraform Knowledge and Commercial Experience with SQL and NOSQL databases (preferably Auroraddb, Dynamodb) 1+ Year; FONT-STYLE: Normal; Text-Decoration: None "> Experience with CI/CD (for example, Jenkins, Git) English: above average (spoken and written) span> The advantage will be: Bachelor's Degree in the relevant industry or equivalent experience span> Experience with Frameworms such as Pytorch, Tsensorflow or Keras Knowledge of Containerization and Orchestration tools (eg, Docker, Kubernetes) span> What do we offer a new colleague? FONT-STYLE: Normal; Text-Decoration: None "> Compensation (based on market data, but also depends on the technical level of the candidate) span> Flexible Work schedule span> Annual paid vacation span> Free English Lessons (Online) span> Health Insurance or two alternatives to choose Individual Plans for Professional and Personal Development Lack of bureaucracy and micro management Modern Comfortable Offices with A span> Overseas Businesses (after the war) span> ----------------------------------------------- -------------------------------------------------- -------------------- The Ukess Software House Team Is Currently Looking for A SPAN> Our Customer is the World's Largest DNA Network from the USA. This Presents A Unique Opportunity to Work With More than 30 Billion Digitized Global Historical Records, 100 Million Family Trees, and 18+ Million People in Their Growing Database. Our Customers Help People Discover Their Family Stories and Gain Actionable Insights About their Health and Wellness. span> about the team: span>> The Data Science Teams Deliver Their Models to Our Team As Pyon. Model Repository. We Create and Operate Data Pipelines in AWS, Using Terraform and Python to Retrieve the Images, Run Them through the models, and return the extracted data as JSON messages. Our typical projects process millions of images per day. We focus on throughput, cost, and error handling. You will be responsible for learning our deployment pattern and taking ownership of creating and operating several of the new pipelines. Responsibilities will include: Design, implement, and deploy ML models and algorithms throughout their lifecycle - from development to production Develop secure, high-performance microservices and data pipelines Develop and optimize scalable back-end services and APIs using Python Optimize models for efficiency, scalability, and real-time inference in production environments Collaborate with engineering, product, and business teams to understand requirements and deliver impactful ML solutions. Perform data analysis and preprocessing using frameworks such as PyTorch, TensorFlow, Keras Maintain and improve MLOps workflows, including model versioning, monitoring, and retraining. Stay up-to-date with the latest advancements in machine learning and AI technologies. Requirements: 4+ years of experience building and deploying Python Applications Practical Experience with Machine Learning 3+ years of experience deploying production code to AWS (including EC2, SQS, SNS, S3, Lambda) Commercial experience with Terraform Strong knowledge and commercial experience with SQL and NoSQL databases (preferred AuroraDB, DynamoDB) 1+ year of experience with customer-facing operations, including monitoring, cost analysis, and troubleshooting production issues Experience with CI/CD practices and tools (e.g., Jenkins, Git) English: Upper-intermediate at least (both spoken and written) It will be a plus: Experience with frameworks such as PyTorch, or TensorFlow, or Keras Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) Bachelor's degree in a related field or equivalent experience What do we offer our new colleague? Competitive compensation (based on market data but also depending on the technical level of the candidate) Flexible work schedule 3 health packages to choose Annual paid vacation and state holiday celebration Free English classes (online) Individual approach to professional growth Lack of bureaucracy and micromanagement Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.) Foreign business trips (after the war) On-site parking lot and charge station for Electric Cars Corporate gifts, celebrations, and fun activities Sports activities: ping-pong, soccer, work-out Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited at the prospect of having a significant impact on products with more than 3 million paying subscribers. In that case, we want to talk to you! ;-)