Machine Learning Specialist

Aarnasoftware; New York (NY); On-site; USD 100,000 - 350,000; Full time

Job summary

Aarna Software is seeking a Machine Learning Engineer to design and implement decentralized AI training pipelines and optimize deployment for various applications, including computer vision and NLP. The candidate should be proficient in Python and ML frameworks, with at least two years of relevant experience.

Qualifications

• At least 2 years of experience in Data Science or ML Engineering.
• Familiarity with ML frameworks and strong analytical skills.
• Experience in a startup environment preferred.

Responsibilities

• Develop and optimize machine learning models.
• Clean and preprocess data for robust datasets.
• Train deep learning models and evaluate for accuracy.

Skills

Python

Machine Learning

Data Science

Computer Vision

NLP

Tools

PyTorch

TensorFlow

Jax

Job description

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At least two years of experience in Data Science or Machine Learning Engineering.

About the Role

The successful candidate will design and implement decentralized AI training pipelines, optimize performance and cost efficiency, and explore innovative techniques for training in diverse environments.

Responsibilities

• Develop and optimize machine learning models for applications in computer vision, NLP and multimedia processing.
• Clean and preprocess data to create robust datasets for model training.
• Train deep learning models across various hardware configurations, fine-tuning for performance and efficiency using techniques such as quantization.
• Evaluate and enhance model accuracy and robustness using appropriate metrics and experimentation.
• Deploy models in production environments, ensuring scalability and reliability across cloud and on-premises setups.
• Collaborate with cross-functional teams to align technical solutions with business needs.
• Maintain and retrain deployed models to ensure continued performance.
• Optimize GPU-based training performance and improve infrastructure efficiency through benchmarking.
• Lead MLOps initiatives, including the development of custom models for specific use cases and enhancement of internal evaluation processes.

Qualifications

• Proficiency with Python and ML frameworks like PyTorch, TensorFlow, or Jax.
• Experience in building, fine-tuning, and deploying machine learning and LLMs.
• Strong analytical skills to navigate trade-offs in ML systems.
• Contributions to open-source projects is a bonus.
• Experience in a startup environment.
• Proven ability to manage projects end-to-end with a high degree of ownership.
• Strong communication, collaboration, and problem-solving skills.

Required Skills

• At least two years of experience in Data Science or Machine Learning Engineering.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Information Technology

• Industries

  Technology, Information and Media, Financial Services, and Software Development

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