►⌨️ REMOTE FRONT END DEVELOPER ⌨️◄

We are looking for driven, motivated individuals eager to launch a lasting career in technology. If you want to gain practical coding skills, work on professional projects, and prepare for entry-level developer roles, this guided training program is designed for you. This remote program can be completed part-time or full-time, with nearly 900 hours of structured training and hands-on projects. You’ll master industry-standard languages, developer tools, and workflows—while building a polished portfolio and resume to secure employment as a Software Developer. 🖥️ Technology & Programming Fundamentals • Understand how computers, networks, browsers, and the internet operate • Explore algorithms, data structures, number systems, and security basics • Gain hands-on experience with Python scripting, command line tools, and logic flow 💻 Web & Front-End Development • Create websites with HTML5, CSS3, and Bootstrap styling • Build dynamic, interactive web pages using JavaScript, jQuery, and React.js • Apply responsive design and modern UI principles 🗄️ Back-End & Database Development • Work with SQL and SQL Server to design and manage databases • Perform CRUD operations and study relational database systems • Develop robust back-end systems with Python (Django) and C# (.NET Framework/Core) 🧑‍💻 Programming Languages & Tools • Learn seven major programming languages: C#, Python, JavaScript, HTML, CSS, SQL, and more • Use Git, GitHub, Visual Studio, and Team Foundation Server • Practice collaborative coding with professional version control methods 🧪 Capstone Projects • Complete two real-world projects (Python + C#) to apply your knowledge • Gain Agile, Scrum, and DevOps experience for portfolio-ready results • Strengthen debugging, teamwork, and problem-solving skills 🧰 Career Preparation • Receive guidance in resume writing, cover letter strategies, and job search skills • Practice whiteboarding and technical interviews • Prepare confidently for entry-level software and web developer opportunities 🚀 No experience necessary. Open to remote participants. Take the next step toward your career in technology. 👉 Apply now: https://softwaredevpros.online/

A senior technical expert responsible for designing, building, and optimizing data solutions using Databricks and Azure Data technologies. This principal engineer oversees the architecture, integration, design, development and deployment of reusable patterns and solutions ensuring that they are scalable, secure and efficient. Also, responsible for managing the platform effectively with automation and leverage emerging capabilities in the marketplace. It requires proven experience of working with developers, analysts, and data scientists to implement data pipelines, real-time analytics machine learning models. This engineer ensures modern best practices are developed and adhered to in a cloud data ecosystem for data governance, data architecture and DataOps, while providing guidance on performance tuning, cost optimization and system reliability.?

Senior Data Analyst positions offered by Capital One, National Association (McLean, Virginia). Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please apply online at: https://capitalone.wd12.myworkdayjobs.com/Capital_One, Reference Job ID: R225859.

About Pathway Pathway is building LiveAI™ systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think. The team is made up of AI luminaries. Pathway's CTO, Jan Chorowski, co-authored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous world's top scientists and competitive programmers, alongside seasoned Silicon Valley executives. Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland. The Opportunity We are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data. For representative examples of the type of projects you would be expected to create or deliver, see our AI pipelines templates. If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you! You Will help design experimental end-to-end ML/AI pipelines contribute to addressing new use cases, beyond state of the art improve/adapt AI pipelines for production, working directly with client data (often live data streams) invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelines. design benchmark tasks and perform experiments. build unit tests and implement model monitoring. contribute high-quality production code to our developer frameworks, used by thousands of developers. help to pre-process data sets for LLM training. The results of your work will play a crucial role in the success of both our developer offering and client delivery. Requirements Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You Are A graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning courses. Passionate about delivering high-quality code and solutions that work. Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up. Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.). Experienced with model monitoring, git, build systems, and CI/CD. Respectful of others Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ... Fluent in English Bonus Points Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard. Showing a code portfolio. PhD in Computer Science. Authoring a paper at major Machine Learning conference. You like playing/tinkering with new tools in the LLM stack. You are already a part of the Pathway community, or have been recognized for your work in one of our bootcamps. Why You Should Apply Join an intellectually stimulating work environment. Be a technology innovator that makes a difference: your code gets delivered to a community of thousands of developers, and to clients processing billions of records of data. Work in one of the hottest AI startups, that believes in impactful research and foundational changes. Benefits Type of contract: Full-time, permanent Preferable joining date: January 2025. The positions are open until filled – please apply immediately. Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or Canada. (Note for candidates based in India: We are proud to be part of the current Inter-IIT as well as a partner of ICPC India. Top IIT/IIIT graduates are more than welcome to apply regardless of current location.) If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

Data Scientist II positions offered by WarnerMedia Services, LLC (Burbank, CA). Work with managers and business stakeholders to fully understand business requirements and the desired outcomes of their science and analytics needs. Perform exploratory and predictive analysis with SQL, Python, R. Produce statistical and machine learning models that inform business initiatives. Offering salary range of $83,090 to $154,310 per year. Position reports to Burbank, CA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please submit resume to wbdi@wbd.com. Reference Job ID: 8387489.

Job Title: Senior Platform Engineer Location: Seattle, WA Employment Type: Full Time About Us: DMV IT Service LLC is a trusted IT consulting firm, established in 2020. We specialize in optimizing IT infrastructure, providing expert guidance, and supporting workforce needs with top-tier staffing services. Our expertise spans system administration, cybersecurity, networking, and IT operations. We empower our clients to achieve their technology goals with a client-focused approach that includes online training and job placements, fostering long-term IT success. Job Purpose: The Senior Platform Engineer will focus on designing, building, and maintaining infrastructure and automation tools to support scalable software platforms. The role involves working closely with cloud services, automation frameworks, and distributed system architectures to deliver efficient, reliable deployment pipelines and internal software solutions. Requirements Key Responsibilities Lead platform engineering efforts using tools such as Ansible, Docker, Kubernetes, and Terraform. Build and manage CI/CD pipelines, automate deployments, and maintain infrastructure as code. Develop and maintain automation scripts primarily using Python and shell scripting for system administration and data processing tasks. Design and implement internal software tools, leveraging strong software engineering and problem-solving skills. Work with complex distributed systems and microservices architectures to ensure scalability and reliability. Manage and optimize continuous integration and continuous delivery workflows including deployment automation, configuration management, and source code repository operations. Handle containerization and orchestration strategies for production deployments. Administer and architect both SQL and NoSQL databases. Collaborate within Agile/Scrum teams to deliver high-quality software solutions. Utilize monitoring tools such as Prometheus and Grafana to identify and troubleshoot performance and availability challenges in distributed environments. Address complex engineering problems through proactive investigation and resolution. Required Skills & Experience Minimum 8 years of professional experience in software engineering. At least 4 years of experience in application development. Over 4 years of expertise in automation and scripting, especially with Python. 8+ years building and managing automation/configuration management tools such as Ansible, Terraform, Chef, or Puppet. Proven track record of developing and maintaining CI/CD pipelines for 8+ years. 6+ years experience deploying production code using Docker containers. Hands-on experience with cloud platforms, preferably AWS and Azure, including both IaaS and PaaS services. Strong background in designing and operating large-scale distributed systems, with familiarity in technologies such as Java/Spring Boot, CQRS, event streaming (Kafka), and Apache Spark. Database knowledge across relational and NoSQL systems. Preferred Qualifications Experience with streaming technologies like Kafka, NATS, Kinesis, or Event Hub. Familiarity with Databricks or Apache Spark. Exposure to Elastic Search. Knowledge of API management tools such as Apigee. Experience using performance monitoring platforms such as Datadog or New Relic.