Overview Symphony is a global design and development software company headquartered in San Francisco with 700+ technologists located across engineering offices in Southeast Europe and Latin America, along with business development offices in the US and Western Europe, and a Remote hub engaging employees from Latin America to Africa and Asia. In the last 19 years, we have launched over 300 products for the world’s leading startups, enterprises, Private Equity companies, and Fortune 500 companies. Our team has a proven track record in helping clients increase revenue, reduce time-to-market, improve end-user experiences, and achieve scalability. We have domain expertise spanning financial services, banking, retail, technology, healthcare, as well as the VC and PE ecosystem, among others. We are on the lookout for an AI/ML Engineer! Responsibilities 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. Qualifications There are some requirements that will make you stand out: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Minimum 10+ years in software engineering or ML, with 5+ years focused on production ML systems Strong background in consulting, professional services, or client-facing technical leadership. Track record of delivering ML solutions across multiple domains or industries. Expert Python; strong software engineering fundamentals. Deep experience with PyTorch or TensorFlow and modern architectures (Transformers, Diffusion models). Hands-on with LLMs: fine-tuning open-source models (Llama, Mistral), parameter-efficient methods, and evaluation strategies. Model serving, containerisation (Docker/Kubernetes), and CI/CD pipelines. Proficiency with AWS SageMaker, GCP Vertex AI, or Azure ML. You will fit into Symphony culture Are proactive and enthusiastic about your own continuous learning and improvement Have the ability to analyze and understand the business context and logic behind your job responsibilities Enjoy working in a pleasant and cooperative atmosphere Excited about working in international teams and using well-written and spoken English daily #J-18808-Ljbffr