SR Machine Learning ENGINEER
Austin, TX, US • Posted 9 hours ago • Updated 9 hours agoContract W2
Contract Corp To Corp
Contract Independent
Travel Required
On-site
Depends on Experience
ALIS Software
Fitment
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Job Details
Skills
- Machine Learning Engineer
- large language models (LLMs)
- vision models
- and classic NLP (Natural Language Processing) models.
Summary
JOB DESCRIPTION
Role: Sr Machine Learning Engineer
Location: Onsite – Austin, TX | C2H
Role: Sr Machine Learning Engineer
Location: Onsite – Austin, TX | C2H
The Opportunity
As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents.
Key Responsibilities
Key Responsibilities
- Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
- Develop and refine our approach to handling vision-based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
- Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
- Collaborate with multi-disciplinary teams including data scientists, ML engineers, healthcare clients, and product managers to deliver robust solutions.
- Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
- Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
- Deep understanding of various training techniques including distributed training on GPUs and TPUs.
- Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
- Document methodologies, model architecture, and project outcomes effectively for both technical and non-technical audiences.
Qualifications
- Bachelor's or master’s degree in computer science, Engineering, Data Science, or a related field.
- 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
- Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
- Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
- Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization
- Proven experience in deploying and managing ML models in production environments.
- Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
- Strong communication skills for articulating complex concepts to diverse audiences.
- Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
- Working knowledge of basic software engineering principles and best practices
- Demonstrated working knowledge and experience on classic ML techniques and frameworks.
- Nice to have: Knowledge of Cloud vendor-based ML Platforms such as Azure ML, Sagemaker
Nice to have competencies
- Large/Complex organization experience in deploying NLP/ML in production
- Experience in efficiently scaling ML model training and inferencing
- Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90709585
- Position Id: 8889958
- Posted 9 hours ago
Company Info
ALIS specializes in Data Management and Data Analytics solutions to enable business transformation. We leverage our expertise and deep technical background to create comprehensive IT strategies, for a digital and technological transformation.
We offer services like Strategy Development, Solution Implementation and Operation & Support in three different engagement models – Consulting, Managed Services, and IT Staffing. We are headquartered in Austin, TX and having an offshore delivery center in India.
ALIS was established in 2014. Our leadership team is empowered with decades of experience in delivering enterprise solutions. Our team of experts has experience across multiple industries including banking, healthcare, insurance, manufacturing industries, and more.
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