Machine Learning Engineer – Mid-Level

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Hand Talk

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

📚 Education

🌍 Social Impact

💰 $670k Seed Round on 2018-08

Education • Social Impact • Technology

Hand Talk is the largest Sign Language translation platform in the world, designed to enhance communication for deaf individuals. The platform, which includes a mobile app, offers tools for learning and translating Sign Languages such as ASL and Libras, promoting accessibility and inclusion in various environments. Awarded by the UN as the 'best social app in the world,' Hand Talk serves as a vital resource for individuals and businesses seeking to bridge communication gaps with the deaf community.

📋 Description

• Collaborate in the design, development and maintenance of robust backend applications and services to serve ML inferences (FastAPI/Flask or Node.js) • Build and optimize pipelines for real-time or batch inference processing • Deploy, monitor and optimize the performance of models in production, ensuring low latency and high availability • Contribute to the design of distributed systems capable of supporting intensive machine learning workloads • Deploy AI services using containerized infrastructure (Docker/Kubernetes) • Operate in cloud-based environments such as AWS • Work closely with Data Scientists and ML Engineers to translate research models into production-ready services • Support the identification and integration of emerging technologies to improve system performance and the end-user experience.

🎯 Requirements

• Advanced English for conversation • Experience deploying ML models to production environments with a focus on accuracy and scalability • Experience with PyTorch, ONNX and OpenVINO for model optimization and execution • Knowledge of Docker, Kubernetes and CI/CD pipeline integration • Experience with AWS, consuming REST/GraphQL APIs and data processing strategies (text, image and metadata) • Proficiency in Python and familiarity with JavaScript/TypeScript and frameworks such as React and Node.js • Interest in diversity, inclusion and accessibility • Curiosity • Collaborative mindset • Structured and action-oriented • Comfortable working in ambiguity and in early-stage environments • Focus on impact — not just output (production) • Systems thinking: ability to contribute to the design of systems for scalable ML processes • Problem solving: technical excellence to identify and resolve performance bottlenecks in production systems • Adaptability: resilient profile to thrive in fast-paced, dynamic environments • Communication and collaboration: ability to work in multidisciplinary teams, facilitating the exchange of technical and product knowledge • Knowledge of real-time communication systems and ultra-low-latency inference • Previous experience building consumer-facing AI products • Familiarity with IaC (Terraform) and production deployment standards • Experience with GPU inference and CUDA (we are migrating from OpenVINO to onnxruntime-gpu) • Familiarity with the Hugging Face ecosystem (Transformers/PEFT, LoRA, bitsandbytes) • Experience with FastAPI

🏖️ Benefits

• CLT employment contract: your security and full labor rights guaranteed from day one • Caju Benefits Card (BRL 1,160.00): flexible spending for meals, groceries, home office, culture and mobility • Remote work — from anywhere in Brazil: the freedom to work from wherever you are, with flexibility and comfort • SulAmérica health plan • SulAmérica dental plan • SulAmérica life insurance • Online consultations with specialists via Conexa Saúde – telemedicine • Wellhub: resources to help you perform at your best • Extended year-end break: celebrate the holidays more peacefully — enjoy an extended period to recharge with family and friends • Birthday day off: a special day off during your birthday month • Extended parental leave: support and time for those building or growing their family • Continuous professional development: access to leading platforms like LinkedIn Learning, plus an annual allowance for courses and training in your area • University partnerships: support to go further through discounts and giveaways • Brazilian Sign Language (Libras) training: learn this important language for our community • English Pass: English learning to continue advancing your career • Work equipment provided and shipped as part of your onboarding kit.