Angular Developer Designer

Position: Data Engineer III    Location: Redmond, WA 98052    Duration: 12 Months       Job Type: Contract         Work Type:  Onsite      Job Description:     Responsibilities  Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions.  Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship. Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations  Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers.  Synthesize analysis and communicate insights and recommendations to various audiences  Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps  Create templates and scripts to help scale and automate our ability to ingest, analyze and enable quick data reviews.  Required Skills & Experience  7+ years of related experience (data science, data engineering, data analysis, ML engineering)  4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience  2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience  Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)).  Should have experience developing complex and a variety of reports.  A good candidate has strong analytical skills and enjoys working with large complex data sets.  Experience applying theoretical models in an applied environment  A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred  Experience in Python, Perl, or another scripting language  Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science  Experience in aerospace, manufacturing, test processes and/or test systems development  Typical Day in the Role:    Daily Schedule:   Accelerate test data collection and reviews to help reduce testing requirements across the OISL LRUs  Simplify and automate (with scripts and standard schemas) the continuous collection and formatting of such data  Develop dashboards and visualizations to help the test triage process  Develop a continuous monitoring and alarming framework that can help inform Engineers of areas needing a deeper analysis  Partner with the continuous improvement and OISL teams to accelerate the creation of analysis and tooling to establish manufacturing statistical process controls of key LRUs and test processes  Candidate Requirements:    REQUIRED SKILLS  Years of Experience: 5 years  Leadership Principle:   Customer Obsession, Learn and Be Curious, Dive Deep, Clear communication  Top 3 must-have hard skills  5+ years of related experience (data science, data engineering, data analysis, ML engineering)  scripting languages (e.g. Python  Statistical modeling data analysis tools   

Role: .Net Developer Location: Redmond, WA(Onsite) Position Type: Contract Job Description:- Must Have Skills: • 3+ years of hands-on development experience with Kubernetes/Azure Kubernetes Service (AKS) Experience with Azure DevOps or GitHub Actions for CI/CD pipelines • 6+ years of experience in software development using C# and .NET Core /.NET Framework • Working on DevSecOps practices and secure coding standards for AKS deployments • Cloud above ARM deployment experience and CIS/RPv2 Deployments • ARM Templates: Expertise in authoring and modifying Azure Resource Manager (ARM) templates Good to Have Skills: •  Experience with other Azure services such as Azure SQL, Azure Data Factory, and Blob Storage •  Knowledge of RESTful APIs and microservices architecture •  Python, PowerShell, YAML/JSON •   Certifications such as Microsoft Certified: Azure Developer Associate or Kubernetes Administrator Responsibilities: •  Design, develop, and maintain C# applications for cloud-native environments. •  Automate deployment workflows for AKS and Above ARM services •  Integrate CIS buildout automation into existing pipelines and workflows •  Collaborate with cloud engineers, DevOps, and security teams to ensure secure and scalable deployments •  Troubleshoot and resolve deployment issues across environments •  Maintain documentation and contribute to continuous improvement of buildout processes

Title: Hadoop developer Location : 100% Remote work Type : W2 -Contract to hire Rate : $Open / hour Requirements Job Descriptions: Hadoop Development within the database Maintaining and monitoring the Hadoop environment, addressing vulnerabilities and resolving issues in the OS Monitoring Hadoop clusters & functionality to support data migration Job Requirements: 5+ years of experience as a Hadoop Developer 2+ years of experience with Python and ETL experience Previous experience working with Hadoop deployments/migrations Prior experience working in an enterprise environment with a large number of users Previous experience with data warehouses and working with erroneous data Benefits Note: If interested please send your updated resume to elan.tamil@two95intl.com and include your salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

Well-established MSP is looking for a well-rounded candidate who can provide inside sales IT support for our customers and sales representatives. The ideal candidate should be well organized, detail oriented, and be able to work in a fast-paced environment, with a customer service mindset! Position Overview We’re seeking a detail-oriented and tech-savvy Inside Sales IT Support Specialist to join our team. This role bridges the gap between sales and technical support, helping configure solutions, build quotes, and support our sales reps with pre-sales technical expertise. Key Responsibilities • Collaborate with sales reps to develop accurate and competitive quotes for hardware, software, IT infrastructure, and services. • Configure technical solutions based on customer requirements, including computers, networking equipment, cloud services, and more. • Work closely with distributors, vendors, and manufacturers to obtain pricing, availability, and product information. • Provide pre-sales technical support, including product comparisons, compatibility checks, and solution recommendations. • Maintain up-to-date knowledge of IT products, services, and industry trends. • Assist in managing vendor relationships and negotiating pricing and terms. • Ensure all quotes and configurations meet company standards and customer expectations. Qualifications • 2+ years of experience in IT sales support, technical quoting, or related role. • Strong understanding of IT products and services (e.g., PCs, servers, networking, cloud solutions, software licensing). • Excellent communication and interpersonal skills. • Proficiency with quoting tools, CRM systems, and Microsoft Office Suite. • Ability to work independently and collaboratively in a fast-paced environment. • Experience working with vendors/distributors like Ingram Micro, TDSynnex, D&H, Dell, HP, Lenovo etc. is a plus. What We Offer • Competitive salary and performance-based bonuses. • Health, dental, and vision insurance. • Opportunities for professional growth and certification. • A collaborative and supportive team environment.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

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.