Machine Learning Tech Lead,

2 semanas atrás

Rio Grande do Sul, Brasil Provectus Tempo inteiro

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.**Responsibilities**:- Leadership & Management- Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;- Drive the roadmap for machine learning projects aligned with business goals;- Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.- Machine Learning & LLM Expertise- Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;- Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;- Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.- AWS Cloud Expertise- Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);- Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;- Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.- Technical Execution- Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;- Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;- Debug, troubleshoot, and optimize production ML models for performance.- Team Development & Communication- Conduct regular code reviews and ensure engineering standards are upheld;- Facilitate professional growth and learning for the team through continuous feedback and guidance;- Communicate progress, challenges, and solutions to stakeholders and senior leadership.**Qualifications**:- Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);- Strong expertise in AWS Cloud Services;- Strong experience in ML/AI, including at least 2 years in a leadership role;- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;- Familiarity with MLOps tools and best practices;- Excellent problem-solving and decision-making abilities;- Strong communication skills and the ability to lead cross-functional teams;- Passion for mentoring and developing engineers.

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