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Nuance Communications

60 Nuance Communications Senior Machine Learning Engineer Jobs Hiring Near You

ExaCare AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$100 - $125/hr

We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the workflows ...

Candid

$125 - $150/hr

Senior Machine Learning Engineer Reporting to: Data Science Manager Schedule: 35-hour work week ... Strong written and verbal communication. * Willingness to perform other duties and special projects ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... Communication Skills: Excellent verbal and written communication skills, with the ability to convey ...

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Excellent communication skills (both verbal and written). * Self-motivation and a strong sense of ownership. For Senior Machine Learning Engineer I, Economist hires, we also expect: * 1-3 years of ...

Klaviyo Inc.

$200 - $250/hr

As a Sr. Machine Learning Engineer at Klaviyo , you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting‑edge ...

New

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$200 - $250/hr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and ...

Rapinno Tech Inc

Sr. Machine Learning Engineer

OR · On-site +1

$122K - $161K/yr

Need Only US Citizen, Green Card Job Title: Sr. Machine Learning Engineer Location: 100% Remote Duration: Long Term Contract Required Skills: Machine Learning (ML), Artificial Intelligence (AI), Data ...

Vancity

Senior Machine Learning Engineer

Vancouver, BC · Remote

As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support business ...

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Senior Machine Learning Engineer

Starboard Recruitment

Vancouver, BC • On-site

$150K - $170K/yr

Full-time

Re-posted 20 days ago

Job description

Follow Starboard Recruitment on LinkedIn for ongoing job opportunities, market updates and advice: https://www.linkedin.com/company/starboard-recruitment
 
Opportunity is with one of Canada's fastest growing, well-funded, Series-B tech startups in the AI / ML domain. 
 
Starboard Recruitment, on behalf of our client, is searching for an experienced Sr Machine Learning Engineer.
 
Our team will reach out to qualified candidates and discuss in further detail.
 
Key Responsibilities

  • AI Strategy Development – Partner with the Director of R&D to define and execute the company’s AI strategy, focusing on geoscientific applications.

  • Full-Cycle ML Leadership – Manage all aspects of the machine learning lifecycle, from data preprocessing to model deployment and performance monitoring, ensuring a streamlined and effective process.

  • Innovative ML Architectures – Design and implement a broad spectrum of machine learning solutions, spanning computer vision, time series forecasting, and geospatial data analysis, while integrating cutting-edge technologies and methodologies.

  • MLOps Best Practices – Drive the adoption of robust MLOps frameworks, including CI/CD pipelines for ML models, to enable smooth and scalable AI deployments.

  • AI Infrastructure & Optimization – Enhance AI infrastructure and workflows, focusing on performance, scalability, data pipeline efficiency, and automation across all ML processes.

  • Cross-Disciplinary Collaboration – Work closely with data engineers, scientists, and geoscientists to establish a well-integrated, end-to-end ML ecosystem within the company.

  • Continuous AI Advancement – Regularly improve the efficiency, reliability, and impact of AI-driven systems through iterative optimizations and refinements.

  • Geospatial ML Expertise – Familiarity with geospatial databases such as PostGIS and GeoPandas is highly desirable.

Qualifications

Experience:

  • At least 7 years of hands-on experience in machine learning engineering, with a strong record of successfully deploying ML solutions into production environments.

Technical Proficiency:

  • Expert-level Python programming skills and deep knowledge of ML frameworks, including PyTorch, scikit-learn, and inference engines like ONNX Runtime and OpenVINO.

  • Strong grasp of various ML algorithms, architectures, and their real-world applications.

  • Experience working with large-scale datasets and cloud computing environments, particularly AWS.

  • Proficiency in software engineering best practices, version control systems, and CI/CD methodologies.

  • Hands-on experience with containerization, orchestration, and microservices-based architectures.

  • Solid understanding of data security, privacy considerations, and compliance requirements in AI-driven applications.

Leadership & Soft Skills:

  • Proven ability to lead and mentor ML teams through complex projects.

  • Strong analytical and strategic thinking skills to solve challenging AI problems.

  • Exceptional communication skills, capable of conveying technical concepts to both technical teams and executive stakeholders.

  • Strong project management capabilities, with the ability to oversee multiple initiatives simultaneously.

  • Passion for continuous learning and adaptability in the ever-evolving field of machine learning.

Education:

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related discipline. Industry certifications and contributions to the ML community (such as research publications or open-source projects) are a strong plus.

 
 
Follow Starboard Recruitment on LinkedIn for ongoing job opportunities, market updates and advice: https://www.linkedin.com/company/starboard-recruitment