Empresa: Workato
Provincia: Barcelona
Población:
Descripción:
We are seeking an experienced Data Science / Machine Learning Engineering Lead to join our team and drive the development of advanced ML/AI capabilities. You will lead a team of Data Scientists / ML Engineers, focusing on building and deploying cutting-edge machine learning solutions using our modern ML infrastructure including Anthropic, OpenAI, and self-hosted LLMs.
– Team Leadership and Management
– Lead, mentor, and develop a team Data Scientists, Data Engineers, ML Engineers
– Conduct regular 1:1s, performance reviews, and career development planning
– Foster a collaborative, innovative team culture focused on continuous learning
– Coordinate work allocation and ensure timely delivery of projects
– Facilitate knowledge sharing and best practices across the team
– Technical Leadership
– Design and implement scalable ML model training pipelines using modern toolset (e.g MLflow, Comet, Langfuse, WandB, Trino, dbt, Spark, Flink, etc)
– Lead fine-tuning initiatives for both commercial (Anthropic Claude, OpenAI GPT) and open-source LLMs
– Utilise self-hosted LLM infrastructure using Ray, AIBrix, and vLLM for optimal performance and cost efficiency with Lora/QLora
– Architect and oversee model continous validation frameworks within our ecosystem
– Develop real-time anomaly detection systems leveraging for streaming data processing
– Build predictive models for system performance, usage patterns, and automation workflow optimization
– Establish ML engineering best practices for model versioning, monitoring, and deployment on Kubernetes
– Creation of eval, validation and metrics pipelines for models during training and inference
– Strategic Initiatives
– Optimize the balance between commercial APIs (Anthropic, OpenAI) and self-hosted models for different use cases
– Partner with product and engineering teams to identify high-impact ML opportunities
– Define the team´s technical roadmap aligned with company objectives
– Drive adoption of state-of-the-art ML techniques and tools
– Contribute to infrastructure decisions for scaling our ML platform
– Operational Excellence
– Implement robust CI/CD pipelines for ML models in Kubernetes environments
– Monitor model performance using MLflow tracking and implement drift detection
– Manage Flink jobs for real-time feature engineering and anomaly detection
– Document processes, architectures, and decision rationale
Requirements
Qualifications / Experience / Technical Skills
– Education and Experience
– Master´s or PhD in Computer Science, Machine Learning, Statistics, or related field
– 10+ years of hands-on experience in data science/machine learning
– 5+ years of experience leading technical teams
– Proven track record of deploying ML and LLM models to production at scale
– Technical Skills
– Deep expertise in Python and ML frameworks (PyTorch, TensorFlow)
– Extensive experience with commercial LLM APIs (Anthropic Claude, OpenAI GPT-4)
– Strong proficiency with MLflow for experiment tracking and model management
– Experience with distributed computing using Apache Spark
– Proficiency with Apache Flink for stream processing and real-time ML
– Knowledge of LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning)
– Expertise in anomaly detection algorithms and time series analysis
– Leadership Skills
– Demonstrated ability to lead and inspire technical teams
– Strong communication skills to translate complex technical concepts to stakeholders
– Experience with agile development methodologies
– Track record of successful cross-functional collaboration
– Ability to balance technical excellence with business pragmatism
Soft Skills / Personal Characteristics
– Experience with AIBrix, vllm or similar ML platform solutions
– Experience with AI code generation and anonymisation pipelines
– Knowledge of advanced prompting techniques and prompt engineering
– Experience building RAG (Retrieval Augmented Generation) systems
– Background in building ML platforms or infrastructure
– Familiarity with vector databases (Pinecone, Weaviate, Qdrant)
– Experience with model security and responsible AI practices
– Contributions to open-source ML projects
Tecnologías: Python, PyTorch, TensorFlow
Tipo de Contrato:
Indefinido
Salario: Sin especificar
Experiencia: Más de 5 años
Funciones: Big Data – Inteligencia Artificial/Machine Learning
Descubre más: https://www.tecnoempleo.com/manager-data-science-workato/python-pytorch/rf-27691e2732a1434d0d4e