symphony.is

Machine Learning Engineer

• Translate business challenges into AI/ML solutions; lead discovery workshops.
• Build and present PoCs to validate feasibility and value.
• Contribute technical input to proposals, scoping, and estimations.
• Develop models across NLP, CV, audio, and generative AI.
• Lead fine-tuning and PEFT methods (LoRA, QLoRA, instruction tuning).
• Assess architectural trade-offs: fine-tuning vs. prompting vs. off-the-shelf.
• Architect scalable deployments (APIs, batch, real-time).
• Implement CI/CD for ML: automated training, evaluation, versioning, deployment.
• Define monitoring, drift detection, and optimization standards.
• Collaborate with data engineers on pipelines and feature engineering.
• Stay current with foundation models and multimodal innovations.
• Set coding standards and lead design/architecture reviews.
• Mentor engineers and guide research-to-production workflows.
• Communicate technical decisions to both engineering and executive audiences.

AI/ML Engineer

Data Engineer

• Lead and drive the development of complex data pipelines and ETL processes, ensuring the highest quality of data and user experience.
• Collaborate with product and design teams to translate high-level requirements into detailed data architectures and designs.
• Ensure the performance, quality, and responsiveness of data solutions, implementing best practices for performance optimization.
• Work closely with cross-functional teams, including UX/UI Designers, Data Scientists, and Product Managers, to ensure seamless integration and delivery of data solutions.
• Stay abreast of the latest industry trends and emerging technologies, proactively integrating new solutions and methodologies to enhance our development processes.
• Provide technical guidance and coaching to Data Engineers, conducting code reviews and fostering a collaborative development environment.
• Develop and maintain comprehensive testing strategies to ensure the reliability and stability of data pipelines.
• Create and maintain detailed documentation for code, architecture, and development processes.

Solutions Engineer

• Lead the design and implementation of robust, scalable, and efficient architectural solutions aligned with business and technical requirements.
• Provide hands-on technical guidance, mentorship, and coaching to development teams, ensuring best practices are consistently applied.
• Work closely with stakeholders, including product owners, delivery managers, and engineering teams, to gather requirements and translate them into effective technical specifications.
• Create and maintain comprehensive architectural documentation, including diagrams, design decisions, and integration guides.
• Continuously analyze and improve existing systems for performance, scalability, reliability, and security.
• Evaluate and introduce new technologies, tools, and methodologies to enhance quality and development efficiency.
• Establish and enforce coding standards and architectural principles; perform code reviews and provide actionable feedback to ensure high-quality deliverables.
• Explore and introduce emerging technologies, frameworks, and design patterns that improve quality and delivery efficiency.

Solutions Architect

Product Manager

• Develop and lead the execution of a product strategy, maintain the product backlog, product vision and product roadmap
• Define detailed user stories and acceptance criteria
• Collaborate with the development team to deliver high-quality products.
• Work with marketing and sales teams to develop go-to-market strategies.
• Define product positioning, messaging, and pricing
• Analyse product performance and user feedback to make data-driven decisions and adjustments
• Build strong relationships with stakeholders, including customers, sales, and support teams