Ai/ml Engineer
Lead the design and implementation of a large-scale AI/ML platform focused on intelligent automation, predictive analytics, NLP, and generative AI using Python, LLMs, RAG, AWS, TensorFlow, and MLOps in a fully remote freelance role.
- Compensation
- Not disclosed
- Location
- Worldwide
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 13+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- API Development
- AWS
- Advanced Machine Learning
- Cloud Services
- Corporate Strategy
- Cross-functional Collaboration
- Data Analysis
- Data Modeling
- Data Preprocessing
- Deep Learning
- Feature Engineering
- Industry Trends
- JIRA
- Leadership
- Machine Learning Basics
- Mentoring
- Model Deployment
- Model Evaluation
- Model Optimization
- Organizational Development
- P&L Management
- Python
- SQL
- Scikit-learn
- Strategic Planning
- TensorFlow
- Thought Leadership
- Vision Setting
Nice to have
- Azure
- Docker
Full description
Title: Freelance Ai/ml Engineer — Manager/Architect Industry: IT | Work Mode: Remote
Role Summary
We are seeking a skilled Ai/ml Engineer to join our team for the project titled AI/ML Engineer (LLM, RAG, Python) - Fulltime, WW. This role involves spearheading the development of a large-scale AI/ML platform that emphasizes intelligent automation, predictive analytics, natural language processing (NLP), and generative AI capabilities. The ideal candidate will have a solid background in data engineering, model development, deployment, MLOps implementation, and system optimization, playing a pivotal role in delivering a scalable, secure, and production-ready solution.
Responsibilities
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Lead the design and implementation of innovative AI/ML solutions that align with project goals. Collaborate closely with cross-functional teams to ensure successful project execution.
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Oversee data engineering processes and model development, ensuring that all components work seamlessly together to achieve project objectives.
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Implement MLOps practices to enhance model deployment and monitoring, contributing to the overall efficiency and effectiveness of the platform.
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Foster collaboration between AI researchers, data engineers, software developers, and business teams to drive project success and meet business needs.
Ways of Working
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Engage in a flexible work environment that promotes remote collaboration while maintaining high standards of communication and accountability.
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Utilize asynchronous communication tools to ensure clarity in roles and responsibilities among team members.
Collaboration & Communication
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Interface with stakeholders to gather requirements and communicate project status effectively. Ensure that all parties are aligned on project goals and timelines.
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Conduct regular meetings to review progress, address challenges, and adapt strategies as needed to meet project milestones.
Growth Signals
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Opportunities for professional development and advancement within the organization based on performance and contribution to project success.
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Participate in training sessions and workshops to stay updated on the latest AI/ML technologies and methodologies.
Engagement & Compensation
Employment Type: Freelance
Duration: 10 months