Responsibilities:

• Create detailed solution design and reviews across relevant stakeholders to ensure alignment to the overall business needs including architecture overview, detailed solution architecture and documentations necessary the architecture decisions.
• Analyze, document, and optimize the overall solution architecture by developing design principles, models, plans, internal standards, budgets, and processes aligned on industry best practices.
• Provides technical oversight and recommendations on data infrastructure (on-premises and Cloud), Data Engineering and BI tool configuration to project teams.
• Participate in the selection of relevant technologies and products when solicited.
• Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to audiences with limited expertise related to the selected technology.
• Support the delivery of the solution by providing insights to the development teams and project managers that plan and execute delivery activities.
• Support implementation processes in association with internal and external development teams, participate in project-related activities and enforces guidelines and standards that production teams use to help guide their work.
• Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards and best practices defined by the enterprise architecture team.
• Provide architectural leadership to development teams, and serve as the primary architect resource, and provide technical guidance and leadership to all internal and external teams involved in the implementation process.
• Create solution architecture documents that describe and explain solutions attributes and associated benefits and maintain documentation in collaboration with enterprise architects as well as others solution architects.
• Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented.
• Build standard solution templates for different business use cases.

Requirements & Skills:

• Bachelor’s degree in a related field (Information Technology, Engineering). An advanced degree in a related area, an asset.
• Minimum of 10 years of IT experience, of which minimum 5 as a solution experience working with integrated Enterprise systems
• Effective organizational skills with strong attention to detail for production of high-quality deliverables
• Having Snowflake certifications is must.
• Strong Knowledge of ETL/ELT frameworks using Snowflake, Talend, Azure Data Factory, and Databricks Notebooks(Pyspark).
• Strong knowledge in warehousing concepts and Snowflake based Enterprise Warehouse.
• Strong knowledge of Azure based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, Events hub.
• Knowledge of designing and implementing Gen AI based solutions specially on Snowflake.
• Highly advanced expertise with data manipulation and visualization tools such as Power BI.
• Must have some experience in at least one of the following RDBMS environments: MS SQL Server, Oracle.
• Expert knowledge of SQL and demonstrated ability to apply SQL creatively to a wide variety of business requirements.
• Strong Knowledge of ETL/ELT tools such as Talend or other as well as standards and best practices for ETL development.
• Knowledge on designing and implementing real time ingestion and processing framework.
• Proficient in building secure architecture using: Encryption, azure key vault, Access control, Network security, Advanced data security.
• Organizing and maintaining data processes to meet ongoing data warehouse lifecycle needs.
• Model the data using Dimensional Data Modelling, Data marts, Data Vault 2.0 modeling principles.
• Knowledge of Master Data and Reference Data concepts and solutions
• Knowledge of Big Data concepts, Cloud Solutions such as Azure.
• Good knowledge of Data Governance principles & tools such as Collibra.
• Strong analytical, decision-making skills and demonstrated ability to learn new tools and systems.
• Knowledge in APIs, web services concepts, standards and JSON, XML, XML Schema.
• Experience in designing and implementing large data workloads with particular attention to security, scalability, and high performance.
• Ability to work across multiple technical teams to set direction and priority.
• Ability to work independently and as part of a team while demonstrating initiative and using good business acumen.
• Ability to motivate and integrate team members, Team player with effective interpersonal skills.
• Experience working within multidisciplinary and collaborative environments.

The post Solution Architect – Data & Analytics, Air Canada appeared first on AI Jobs Latest.

Responsibilities:

• Be a data visualization and analytics thought partner to leadership defining and implementing a data visualization strategy and center of excellence aligned to business goals.
• Oversee end-to-end development lifecycle of reporting solutions (e.g. interactive dashboards, general reporting templates) ensuring quality, accuracy and scalability.
• Evaluate and recommend modern technologies (e.g. natural language queries) to enhance reporting capabilities on structured data sets for faster time to insight.
• Create a clear implementation process, while managing capacity and timelines ensuring successful delivery.
• Lead and mentor a growing team of BI / Data Visualization Developers providing guidance in code review, UI/UX best practices and iterative dashboard development.
• Champion a data culture of self-service driving continuous reporting solution adoption with stakeholders through user-friendly features.

Requirements & Skills:

• You have 5 – 7+ years of experience as a BI Developer/Analyst / Analytics Engineer developing scalable reporting dashboards in Power BI, Tableau, and/or other visualization tools.
• You have 5+ years of managing a team of BI developers, analytics engineers, or analysts in an agile / Scrum environment and a demonstrated history of steering reporting solution initiatives cross-functionally with success.
• You have experience collaborating with business stakeholders, impacting decision-making processes, providing business improvement recommendations, and data/visualization storytelling.
• You have a proven ability to develop SQL/SparkSQL and experience in modern cloud-based data warehouses, as well as a strong understanding of large event-based data sets and diverse schemas.
• You have experience implementing natural language queries (NLQs) into dashboards, increasing data literacy and adoption across the organization.
• You have an exceptional understanding of UI/UX best practices with a keen eye for visual design and attention to detail.
• You have a strong sense of business acumen and strategic thinking.
• You have strong interpersonal skills communicating with technical and non-technical audiences and can build relationships outside of your team reporting structure.
• You have experience translating business stakeholder needs into technical design documentation.
• You have a direct-to-consumer background or history of working in subscription services.

The post Sr. Manager – BI & Data Visualization, McAfee appeared first on AI Jobs Latest.

Responsibilities:

• Architect and Develop Integration Solutions: Expertly design, develop, and maintain advanced integration solutions using Apigee for API management and Kafka for event streaming, ensuring they are scalable, reliable, and secure.
• Establish Patterns: Help in building new integration patterns and maintain the existing pattern inventory with industry trend.
• Hands-on Implementation: Evaluate new product feature in the integration and cloud platforms by implementing them and assessing the technical feasibility. Lead hands-on design, development, configuration, and deployment of integration platforms and solutions, focusing on APIs, microservices, service mesh, and multi-cloud environments (GCP and AWS) with an expert level of proficiency.
• Platform Strategy and Standards: Define and enforce best practices, standards, and patterns for integration platforms, ensuring alignment with enterprise architecture and business goals.
• Platform Capabilities: Proficiently enable and mature platform capabilities, ensuring that integration platforms are robust, scalable, and aligned with business needs.
• Self-Serve Capabilities: Develop and enhance platform self-serve capabilities, empowering development teams to efficiently utilize integration services and tools.
• Technical Leadership: Provide expert guidance and mentorship to the integration team, fostering a culture of technical excellence and continuous improvement.
• Collaboration: Work closely with cross-functional teams, including Enterprise Architects, Cloud Engineers, Info Security, and business stakeholders, to design and implement integration solutions that meet business requirements.
• Innovation and Research: Stay abreast of the latest technologies and trends in integration platforms, continuously exploring ways to enhance our integration capabilities.
• Project Management: Lead complex IT projects, managing assumptions, risks, issues, improvements, and dependencies, while adhering to both waterfall and agile methodologies.
• Quality Assurance: Ensure all integration solutions are thoroughly tested and meet high standards of quality, security, and performance.

Requirements & Skills:

• 10+ years of experience in designing, developing, and implementing integration solutions, with a strong focus on API management and event streaming platforms.
• Proven expert-level experience with Apigee API management and Kafka streaming platforms.
• 5+ years of experience in designing integration architecture handling both synchronous and asynchronous use cases.
• 5+ years of experience in developing and deploying microservices and RESTful APIs, preferably with Java and Springboot.
• Significant experience with service mesh technologies and multi-cloud environments (GCP and AWS).
• Proven experience working on large transformational projects involving cloud and microservice transformation.
• Deep, expert-level understanding of integration protocols and principles, including SOAP, REST APIs, RPC/RFC, Websocket, and GRPC.
• Expert proficiency in building the Apigee and Kafka platforms along with knowledge of the consumption of the different features
• Strong understanding of Cloud Architecture, and IaC tooling like Terraform
• Hands-on, expert-level experience with Java, Springboot, Python, and other relevant programming languages.
• Mastery of various architectural styles such as Layered Architectures, Transactional applications, Client-Server, Sync/Async messaging, PaaS, and SaaS-based architectures.
• Advanced expertise with containerization technologies (e.g., Kubernetes).
• Strong background and expert-level knowledge in API REST and integration platforms, with a deep understanding of integration patterns and best practices.
• Proven experience in enabling and maturing platform capabilities.
• Experience in developing platform self-serve capabilities.
• Experience in implementing observability solutions for microservice architecture using tooling like DataDog, Dynatrace, App Dynamics, and Prometheus/Grafana.
• Ability to work in an Agile environment with a strong practice in BDD, TDD, CI, CD, and related tools (e.g., Git, BitBucket, Jenkins, Confluence, JIRA, Swagger).
• Ability to analyze the current CI/CD landscape and propose enhancements to optimize the time and process.
• Expertise in managing and automating the integration lifecycle.

The post Senior Integration Technical Architect, Definity appeared first on AI Jobs Latest.

Responsibilities:

• Brainstorm, design and develop the company’s AI initiatives and roadmaps
• Formulate the business problem into AI and Machine Learning tasks
• Working with different types of data including computer logs, errors, natural languages, and more
• Extract, transform, load structured and unstructured text data
• Perform AI and machine learning experiments methodically, and conduct data and error analysis to improve models
• Document findings, approaches and present the results to the team
• Optimize algorithms and prototypical solutions, such as hyperparameter search, model fine-tuning, etc.
• Collaborate with the engineering team to implement (build, test and deploy) the ML models
• Create unit, integration, end-to-end, and/or performance tests.
• Keep current with technology and industry developments and be on the lookout for new approaches and opportunities to integrate them into the existing solutions

Requirements & Skills:

• Have strong analytical and problem-solving skills, and be willing to dive deep to find creative solutions.
• Have a passion for developing new and innovative solutions with AI, machine learning, and statistical approaches.
• Have an entrepreneurial spirit and love to work in a fast-growing start-up environment, where you will meet like-minded people and celebrate successes.
• BSc or MSc degree in computer science, engineering, statistics, applied mathematics, or related quantitative discipline.
• Ability to synthesize information from multiple sources and act as a thought leaders to design creative solutions.
• Experience in ML/AI solution architecture is an asset.
• Strong track records in building MLOps and productionizing ML/AI solutions in Azure cloud (or AWS). Familiarity with ML flow is a plus.
• Experience in data mining, machine learning, and/or statistical analysis. Knowledge of NLP approaches is an asset.
• Strong experience in Python and knowledge of SQL is a plus.
• Familiarity with modern machine learning packages such as NumPy, SciPy, Pandas, Matplotlib, seaborn, Scrapy, scikit-learn, etc. Experience with Deep Learning packages such as Pytorch or TensorFlow is an asset.
• Knowledge of the Cross Industry Standard Process for Data Mining(CRISP-DM) or similar data-science lifecycle.
• Experience building custom integrations between cloud-based systems using APIs.
• Experience developing and maintaining ML systems built with open-source tools.
• Experience developing with containers and Kubernetes in cloudcomputing environments.
• Basic knowledge of agile software development (e.g. versioncontrol, kanban processes, and cloud deployment).
• Team player. Comfort working in a dynamic group with open problems to solve.

The post ML Engineer/Data Engineer, Railtown AI appeared first on AI Jobs Latest.

Responsibilities:

• Investigate novel techniques combining class-leading heuristics with optimization
• Translate real-world Supply Chain Management use cases into a mathematical model
• Lead the design and implementation of the mathematical model
• Define test strategies and develop comprehensive test plans
• Write unit testing, integration testing, and debugging to ensure robust and error-free software
• Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools
• Collaborate closely with your agile team members and other stakeholders
• Shape the future direction of Kinaxis as we move into new markets

Requirements & Skills:

• MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related)
• 3+ years of software development experience, and a track record of delivering commercial software
• Working knowledge of C++, including object-oriented design and design patterns, unit testing
• A love of data structures and algorithms, and the desire to apply them in the real world
• Experience in creating mathematical models of real-world optimization problems.
• Experience in commercial solvers (Gurobi, Xpress, CPLEX)
• Ability to design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools.
• Nice to have knowledge in machine learning models and algorithms
• Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)

The post Software Developer, Kinaxis appeared first on AI Jobs Latest.

Responsibilities:

Planning

• Plan, recommend and implement capacity, growth and architectural changes for Aecon’s software, network, database and application landscape.
• Participate in some aspects of the software development lifecycle for AWS solutions, including planning, requirements, development, testing, and quality assurance.

System Improvements

• Lead technical efforts to improve, design, build, and deploy AWS applications, including small, medium and large-scale cloud infrastructure projects, while adhering to company’s security and compliance standards

Testing

• Review test plans and monitors testing process to ensure that business results are adequately tested with minimal risk
• May develop system test cases and validates test results during testing
• Analyzes testing results to ensure the solution meets the needs of the business.
• Facilitates issue resolution.

Documentation

• Documents system modifications
• Develops system manuals.

Problem Solving

• Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity
• Business Case
• Proposes input into expenditures based on size, scope, and cost of hardware components

Research/Technical Evaluation

• Participate in the evaluation, selection and application of new and emerging cloud tools and techniques.
• Analyzes technology tends to determine impact on the achievement of business goals
• Identifies issues and makes recommendations based on the impact of new/emerging technology or modifications to existing systems

Requirements & Skills:

• Bachelor’s degree or in Computer Science, Information Systems, Business, or equivalent work​​​​​​​ experience.
• Typically requires 5-7 years of relevant technical and work experience.
• Requires excellent analytical, technical, interpersonal and communication skills.
• Requires in-depth knowledge of business operations, systems requirements, configuration, and IT processes and technologies.
• AWS solutions architect associate or higher certification
• ​In-depth knowledge of cloud computing platforms and services
• Understanding of and experience with the five pillars of a well-architected framework
• Familiarity with DevOps practices and tools, such as continuous integration and continuous deployment (CI/CD)., IaC tools (Terraform, AWS CloudFormation, etc)
• Proficiency in programming languages and scripting tools
• Strong knowledge and experience working with Windows Server/Linux
• Understanding of data storage and database technologies, such as SQL and NoSQL
• Possessing industry-verified cloud engineering certificates
• Solid understanding of the ITIL framework and best practices

The post Cloud Engineer, Aecon appeared first on AI Jobs Latest.