Technical Support Engineer - 1st Shift

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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.

Looking for somebody with rest api and .net experience. If interested please reply with your demographics and experience description. A brief explanation is best. Not interested in ai resume.

Job Title: Informatica Engineer Location: Fort Worth, TX (locals only) Mode of Work: Hybrid Yrs of exp: 6+ Any Visa   Description:   Infromatica Engineer POSITION Web/Mobile Developer Job Responsibilities This role is responsible for designing, coding, and modifying ETL processes using Informatica based on mappings from Source to Target applications. Experience in migration to Cloud Developer Job Duties - Participates in ETL Design of new or changing mappings and workflows with the team and prepares technical specifications. - Creates ETL Mappings, Mapplets, Workflows, Worklets using Informatica PowerCenter 10.x and prepare corresponding documentation. - Designs and builds integrations supporting standard data warehousing objects (type-2 dimensions, aggregations, star schema, etc.). - Performs source system analysis as required. - Works with DBAs and Data Architects to plan and implement appropriate data partitioning strategy in Enterprise Data Warehouse. - Implements versioning of the ETL repository and supporting code as necessary. - Develops stored procedures, database triggers and SQL queries where needed. - Implements best practices and tunes SQL code for optimization. - Loads data from SF Power Exchange to MongoDB database using Informatica. - Works with XML's, XML parser, Java and HTTP transformation within Informatica. - Works with Informatica Data Quality (Analyst and Developer) - Primary skill is Informatica PowerCenter - 5-7 years of experience. Developer Skills and Qualifications Informatica PowerCenter, Informatica Powerxchange. MongoDB, IMS , Relational Database Education/Experience • Bachelor’s Degree in computer science or equivalent training required • 5+ years’ experience required

Booklog is looking for a level 1 – 3 technical support individual. This position is to provide outstanding technical support for Booklog software and various interfaces along with onboarding of new customers, testing of software and training on usage of software. We’re looking for a motivated individual to be part of our committed team. We need to be the experts so our customers don’t have to. Located in Chicago’s Andersonville neighborhood; telecommuting is available. Qualifications • At least 2 years experience in technical support, preferably phone support • Experience with Microsoft Windows operating systems • Familiarity with databases and database troubleshooting • Knowledge of computer network systems • Ability to troubleshoot software problems and offer solutions by phone • Good problem solving skills with attention to detail • Strong verbal, written, interpersonal, and organizational skills • Ability to work both independently and in a team environment • Experience with SQL Server 2022, Sybase SQL applications and databases • Ability and excitement to learn new skills • A ‘think outside of the box’ mentality • Customer Service experience • Software training experience a plus • Previous experience training customers on software usage • Experience with use of peripheral devices • 10% or less travel to customer locations within the US to train and install software Benefits • Casual environment with a great group of people who love what they do • In office or telecommuting options • 100% paid health insurance • 2 weeks vacation to start • Generous 401K options • Permanent full-time. PLEASE SEND RESUME WHEN APPLYING

Company Description Chooch helps build and run the best Computer Vision AI applications that make cameras intelligent, enhancing productivity & revenues, while reducing operational costs. Chooch has been named a leading computer vision platform by IDC. Role Description We are looking for a Machine Learning Engineer (US-based) to join our team. This is a full-time, hybrid role with frequent hands-on experience with customer projects in Santa Clara. The Machine Learning Engineer will be responsible for the successful design, accuracy, and backbone behind our Computer Vision AI applications. This includes data preparation, training, configuring neural networks, deploying networks in real customer locations, and refining computer vision algorithms for healthcare, manufacturing, and retail customers. This role requires frequent interaction with technical and non-technical customers while working closely within our solutions engineering teams. The Machine Learning Engineering role has opportunity to grow, lead technical projects, and improve current processes while providing meaningful feedback to our product and solutions teams. Qualifications Proficiency in machine learning frameworks (e.g., PyTorch) Experience with Large-language models Strong programming skills in Python Experience with image processing and computer vision libraries (e.g., OpenCV). Familiarity with cloud computing services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Experience with software development, machine learning in practice, computer vision, and ML in production Excellent problem-solving and troubleshooting skills Strong communication and interpersonal skills Ability to work independently and as part of a team Comfortability on the command-line Experience with version control systems such as Git Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with a focus on machine learning or computer vision. Key Responsibilities Model Development and Optimization: Design, develop, and optimize machine learning models for computer vision applications. Data Management: Collaborate with ML engineers to ensure the collection, processing, and maintenance of high-quality datasets necessary for model training and testing. Algorithm Implementation: Implement state-of-the-art computer vision algorithms to improve system accuracy and performance in real-world scenarios. Cross-Functional Collaboration: Work closely within the solutions engineering team to integrate machine learning models into the broader product and systems. On-Site Travel and Field Testing: Many of our projects are live deployments with major fortune 500 customers – testing new, innovative ML technologies. Traveling on site is sometimes needed to see the environment, test in the real-world, and ensure the technology is operating as expected. Performance Evaluation: Regularly evaluate the performance of computer vision models, using both qualitative and quantitative methods, and iterate to enhance accuracy and efficiency. Research and Innovation: Understanding of the latest developments in machine learning and computer vision, applying innovative approaches and technologies to solve complex challenges. Stakeholder Engagement: Collaborate with internal and external stakeholders to understand their needs and translate them into effective technical solutions. Problem-Solving: Address and troubleshoot complex problems that arise during the development and deployment of computer vision systems. The ideal candidate should be deeply passionate about machine learning and its real-world applications, particularly in improving and leveraging state-of-the-art neural networks to make an impact. Requirements Qualifications Proficiency in machine learning frameworks (e.g., PyTorch) Experience with Large-language models Strong programming skills in Python Experience with image processing and computer vision libraries (e.g., OpenCV). Familiarity with cloud computing services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Experience with software development, machine learning in practice, computer vision, and ML in production Excellent problem-solving and troubleshooting skills Strong communication and interpersonal skills Ability to work independently and as part of a team Comfortability on the command-line Experience with version control systems such as Git Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with a focus on machine learning or computer vision. Benefits Chooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance policies included.