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Freelance Machine Learning Compiler Engineer information
See Longmeadow, MA salary details
$23.87 is the 25th percentile. Wages below this are outliers.
$15.12 - $25.95
31% of jobs
The median wage is $32.62 / hr.
$25.95 - $36.77
31% of jobs
$36.77 - $47.59
4% of jobs
$57.06 is the 75th percentile. Wages above this are outliers.
$47.59 - $58.41
10% of jobs
$58.41 - $69.24
9% of jobs
$69.24 - $80.06
5% of jobs
$80.06 - $90.88
0% of jobs
$90.88 - $101.70
8% of jobs
$101.70 - $112.53
0% of jobs
$112.53 - $123.35
0% of jobs
$123.35 - $134.17
1% of jobs
$15
$48
$134
How much do freelance machine learning compiler engineer jobs pay per hour?
What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?
| Aspect | Freelance Machine Learning Compiler Engineer | Freelance Software Developer |
|---|---|---|
| Required Skills | Machine learning frameworks, compiler optimization, programming (C++, Python) | General programming, software design, various languages |
| Work Environment | Project-based, remote, often technical teams in AI/ML industry | Varied industries, remote or on-site, broad application areas |
| Industry Usage | AI/ML companies, research labs, tech firms | Tech, finance, healthcare, startups, enterprise |
Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.
What cities near Longmeadow, MA are hiring for Freelance Machine Learning Compiler Engineer jobs?
Cities near Longmeadow, MA with the most Freelance Machine Learning Compiler Engineer job openings:

Other
Re-posted 23 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
-
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
-
Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
-
Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
-
Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
-
Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
-
Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
-
Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020