Responsibilities:

• Work with the senior engineering leaders, product management, and others to set the technical vision for the Meraki Assurance ML/AI roadmap.
• Guide the ML engineering team through defining short, medium, and long-term goals to achieve the vision.
• Help with the recruiting strategy to build a diverse and inclusive team: driving decisions on who the team needs to hire.
• Mentor and coach engineers through technical challenges.
• Work on projects that span numerous networking domains and systems to help our ML solutions scale by handling enormous amounts of data.

Requirements & Skills:

• 12+ years of professional experience in machine learning, data engineering, software engineering, Dev/Ops, or related fields.
• Experience in building large-scale AI models and systems using MLOps practices, including deep learning models using frameworks such as Tensorflow, Keras, and PyTorch
• Experience working in a team to write robust, maintainable, and extendable code in Python and/or R.
• Experience with complex data sets, ETL pipelines, SQL, and general data engineering
• Expertise with cloud architecture and technologies like Amazon Web Services, Spark, Kubernetes, Docker, Jenkins, and Terraform

Bonus points:

• Experience building scalable and production-ready Generative AI solutions
• Have an understanding of real-time technologies such as Kafka, ClickHouse.

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Responsibilities:

• Architect, implement, and monitor data pipelines, as well as conduct knowledge-sharing sessions with peers to ensure effective data use
• Work with team members and leaders to further develop our data strategy
• Develop and maintain a data catalog so that we have a full understanding of the data and events within our platform
• Maintain infrastructure-as-code (AWS CDK) provisioning, spin up new and/or revised data platform resources and environments to enhance data collection and processing from our applications and data sources
• Act as the primary technical decision-maker for the data platform and help hire and support analytical data personnel (e.g., Data Scientist, Data Analyst, BI Developer, etc)
• Analyze large amounts of data, both structured and unstructured, and create dashboards, queries, and visualizations

Requirements & Skills:

• Must have 7+ years of hands-on experience working with data platforms
• Experience being involved in the design and implementation of at least one data platform.
• Experience in streaming and/or batch analytics.
• Experience with scalable distributed data processing, management, and visualization tools.
• Experience using business intelligence tools and data frameworks.
• Strong working knowledge of Python for both provisioning cloud infrastructure and working with data.
• We’re a remote-first company, and we need people who can do their best work from home, collaborate effectively, work asynchronously, and are proactive about reaching out to peers to get things done and/or get themselves unstuck.
• Enthusiasm, a “can-do” attitude, and optimism when faced with difficult challenges.

The post Sr. Data Platform Engineer, Stability AI appeared first on AI Jobs Latest.

Responsibilities:

• Lead the design and development of scalability solutions using gRPC.
• Implementing the API Management strategy for all of Upstart
• Collaborate with cross-functional teams to understand requirements and bring those insights into building an impactful roadmap for the team
• Establish best practices for API development and event bus across Upstart
• Mentor junior engineers and promote a culture of technical excellence
• Contribute to quality improvements within our team in a meaningful way

Requirements & Skills:

• Bachelor’s or Master’s degree in Computer Science or a related field
• 5+ years of professional experience in building robust API solutions
• Strong communication skills and the ability to collaborate effectively with cross-functional teams
• Strong proficiency in one or more programming languages
• Proficiency in automated testing patterns
• Experience in building highly observable systems
• Experience with Kotlin, Python, Ruby, or TypeScript
• Experience with Kafka
• Strong sense of ownership and accountability for the quality and timely delivery of work
• Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to the team dynamic

The post Senior Software Engineer – API Enablement, Upstart appeared first on AI Jobs Latest.

Responsibilities:

• Proactively search out ways to make an impact beyond the Jira board
• Turn feature-specific tasks into opportunities to up-level the team’s codebase and product
• Know the product intimately enough to propose changes to requirements when we need to find a middle path
• Propose and deliver new ideas that achieve meaningful improvements to our team’s metrics
• Contribute in a meaningful way to quality improvements within our team

Requirements & Skills:

• Minimum requirements:
  • 4+ years proficiency in Kotlin, Java, or C#. (Our backend is in Kotlin, but Java and C# are similar enough that you can learn on the job.
  • Hands-on experience with SQL databases and domain modeling
• Preferred qualifications:
  • Excellent written and verbal communication skills. As an engineer, a big part of your job will be representing your projects in cross-functional conversations, and you’ll need to tailor your communication style to fit these different audiences’ needs.
  • Preference for FaceTime and synchronous collaboration. We’re a distributed team of remote workers (from coast to coast), and while we predominantly build asynchronously, we prefer FaceTime when collaborating in a tight feedback loop. You’ll need to be comfortable with a few hours of Zoom per day (e.g., mob programming) to excel in this role.
  • Comfortable challenging authority. We want engineers who can push back on their managers when they think we’re going down the wrong path. Related: You thrive in environments where you are expected to think like an owner and make decisions like one.

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Responsibilities:

• Develop Python backend services with an emphasis on HTTP APIs using Python, SQL, and FastAPI
• Collaborate with team members to design and implement effective solutions
• Participate in team planning sessions and SCRUM ceremonies
• Propose improvements to strengthen product stability and user experience
• Write clean, efficient, and maintainable code following best practices
• Conduct code reviews to verify quality and adherence to standards
• Assist in debugging and resolving technical issues as they arise

Requirements & Skills:

• Background in Computer Science, Computer Engineering, or a related field preferred
• Production-level Python development experience with at least 3 years
• Advanced knowledge of Python features, including slicing and decorators
• Competency in writing reusable, maintainable code aligned with industry standards
• Proficiency in handling HTTP APIs, particularly REST APIs
• Strong understanding of type systems, such as MyPy
• Fluent communication skills in English at the B2+ level

Nice to have:

• Experience with FastAPI and Docker environments
• Familiarity with Kubernetes for container orchestration purposes
• Background in using relational databases, especially PostgreSQL
• Knowledge of cloud platforms such as Google Cloud Platform or Amazon Web Services

The post Senior Developer Python, EPAM appeared first on AI Jobs Latest.

Responsibilities:

• Support both development and production environments
• Implement monitoring processes and design/deploy monitoring dashboards
• Coaching, mentoring of team members
• Work directly with development teams to bring new products into the cloud
• Help to design and support internal development environments inside AWS
• Design, Implement, and Maintain all Amazon Web Services Infrastructure and Operational Services
• Participate in the agile process across multiple development teams
• Create a process to perform continuous deployment, including full orchestration of the deployment process
• Develop tools and scripts to improve the efficiency of operational tasks
• Create and provide best practices to the organization for DevOps, builds, continuous integration and deployment, and infrastructure
• Build and support system automation, deployment, and continuous integration tools
• Effectively communicate project status, metrics, and issues

Requirements & Skills:

• 3-5+ years of experience as a DevOps Engineer
• 3-5 years working in cloud providers, AWS
• 3-5 years working in Linux environments
• 3-5 years scripting languages with at least one of the following: Bash or Python
• 3-5 years using SCM Git, GitHub, and a solid understanding of branching and merging
• 3-5 years’ experience with the SDLC (Software Development Life Cycle)
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field of study
• Expert in Cloud infrastructures and deployment models
• Expertise in using AWS services and CLI
• Expertise in Bash and/or Python scripting skills
• Experience with Continuous Integration and Deployment (CI/CD) tools such as Jenkins, Azure DevOps, and/or GitLabs
• Strong knowledge of Cloud best practices, operations, and security
• Experience with big data processing tools such as Hadoop or Spark
• Experience administering Databases such as Postgres, MariaDB, Mongo, MySQL, and or MSSQL
• Experience with performance tuning and benchmarking
• Knowledge of Build technologies, Maven/Gradle/Node/NPM
• Skilled with Log aggregation using SumoLogic or other tools
• Experience with Container Infrastructure, ECS, Kubernetes, Docker Swarm
• Skilled with Jira, Confluence, Jenkins, Azure DevOps, and Artifactory. DockerHub, GitHub
• Nginx experience
• Experience with Agile methodology
• MongoDB and cluster configurations
• RabbitMQ and cluster configurations
• ElasticSearch and cluster configurations
• Experience with NoSQL technologies like Memcached or Redis
• Excellent communication and written skills

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