Senior Engineer (Applied AI / ML) at Qvest

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Media & Entertainment, Consumer Packaged Goods, RetailIndustries

Requirements

4-6 years in software development, including working in teams
Experience with agile methodologies such as Scrum, Kanban or XP
Experience in ML / Applied AI tools and patterns including LLM, MLOps, RAG
Experience using different models (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA etc.) and understanding applicability to purpose / use case balancing cost vs. functionality
Experience developing copilots
Experience developing RAG applications
Experience with and around discussing enterprise deployments, knowing the landscape of enterprises (their APIs, systems etc.) and the ability to communicate with client leadership in this area
Experience with Vector Database and Embeddings
Experience with Graph Databases
Definition, utilization and implementation of CI/CD pipelines
Familiarity with SOA, Microservices, or similar architectural patterns
Experience constructing systems by utilizing a separation of concerns (good OOP, FP design, etc)
Experience with enterprise application integration, including defining the integration architecture, integration data flows and interfaces, integration mechanisms (e.g., async vs. synchronous), middleware, etc
Experience with typical AuthN/AuthZ methods and products
Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state
Experience balancing feature development vs. technical debt accumulation in order to deliver business needs while also maintaining quality over time

Responsibilities

Provide leadership within software teams; as a mentor, team-lead, trusted client-facing technologist and/or as a hands-on contributor
Impact all phases of projects and all phases of the SDLC
Leverage existing depth of knowledge to maximize impact
Grow into new and/or adjacent technologies and domains to broaden impact
Present solutions to clients as well as Qvest team members
Shape the kind of technologies that we are going to be using

Skills

Applied AI

Machine Learning

Software Development

Cloud Computing

Salesforce

Data Analytics

Digital Media Supply Chain

Python

Mentoring

Team Leadership

Qvest

Media solutions for broadcasting industry

About Qvest

Qvest provides solutions for the media and broadcasting industry, focusing on services like digital asset management, remote video editing, and media monitoring. Their products help clients in broadcasting, security, and media sectors manage digital transformation and enhance operational efficiency. Qvest's offerings include consulting, system integration, and managed services, which are tailored to meet the specific needs of each client. They stand out from competitors by their expertise in industry standards such as SMPTE ST 2110 and their use of modern practices like agile development and cloud playout. The company's goal is to support clients in navigating the complexities of the media landscape and to improve their operational processes.

Hamburg, GermanyHeadquarters

2013Year Founded

M_AND_ACompany Stage

Consulting, EntertainmentIndustries

201-500Employees

Benefits

Health, dental & vision coverage

401(k) matching

Remote work option

Career development

Wellness benefits

Paid parental leave

Team building events

Risks

Rapid AI development may challenge Qvest's integration capabilities.

TeraVolt acquisition could lead to operational integration challenges.

Composable OTT platform faces competition from established OTT providers.

Differentiation

Qvest excels in digital transformation for media with innovative AI-driven solutions.

Global presence with strategic locations enhances Qvest's service delivery and client reach.

Expertise in SMPTE ST 2110 and agile development sets Qvest apart in media technology.

Upsides

Growing demand for remote editing boosts Qvest's media solutions offerings.

Collaboration with NVIDIA enhances Qvest's AI capabilities in media and entertainment.

Expansion in multi-cloud management services aligns with industry trends for scalability.

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