MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Machine Learning Engineer specializing in Natural Language Processing for AI-driven solutions at Cloudacio. Developing advanced NLP solutions with a focus on client needs and collaboration.
Responsibilities
- Develop and implement NLP solutions with a focus on LLMs and semantic analysis.
- Attend client meetings, offering pre-sales support and NLP-focused technical insights.
- Responsiveness via Slack during EST business hours.
- Engage in client-facing roles, translating business needs into robust NLP solutions.
- Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions.
- Stay updated with the latest NLP developments, enhancing our offerings continuously.
Requirements
- Proficiency in English is essential for effective communication with clients.
- Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.
- Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT.
- Strong proficiency in TensorFlow and PyTorch for developing complex NLP models.
- Skilled in data annotation and preprocessing for large NLP datasets.
- Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions.
- Previous consulting or startup environment experience.
- Entrepreneurial Spirit: Ability to independently handle customer interactions and lead projects.
Benefits
- Flexible work arrangements to accommodate project needs and personal preferences.
- Growth potential in a dynamic environment focusing on AI and cloud technologies.
- A culture that values innovation, communication, and proactive problem-solving.
- Opportunity to work on innovative projects with significant real-world impact.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer building cloud - native data and ML platforms for Hive.co’s event - marketing automation products. Owning pipelines, model infrastructure, and audience - data systems at scale.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI - native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
Director leading agentic AI and machine learning products for Instacart’s grocery technology platform. Building retailer solutions and guiding teams from strategy through production deployment.
New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.