Ai/ml Engineer
Summary
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.
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
Work Mode: Remote
Openings: 1 position available.
Experience: 13 to 30 years
Billing Cycle: Weekly
Compensation: Hourly Rate: Up to $ per hour
Additional Comments: This project involves building a large-scale AI/ML platform focused on intelligent automation, predictive analytics, NLP, and generative AI capabilities. The work included data engineering, model development, deployment, MLOps implementation, and system optimization. The project required collaboration between AI researchers, data engineers, software developers, and business teams to deliver a scalable, secure, and production-ready solution.
Must-Haves
- 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 Skills
- Azure, Business Acumen, Change Management, Data Governance, Data Visualization, Docker, Excel, Executive Presence, Financial Acumen, Flask, GCP, Git, Innovation Management, Keras, NumPy, Pandas, Stakeholder Management, Tableau