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ML/AI Engineer
2 months ago
We are seeking a highly skilled and experienced Machine Learning and AI expert to join our team on a freelance basis. As a mid-senior level professional, you will work closely with our clients to deliver cutting-edge solutions in AI and ML, contributing to a variety of projects, including app development, website optimization, predictive analytics, and more.
Responsibilities:
- Develop, train, and deploy machine learning models to solve real-world problems.
- Work with large datasets to extract meaningful insights and create predictive models.
- Design and implement AI algorithms for various applications including NLP, computer vision, and recommendation systems.
- Collaborate with cross-functional teams to understand project requirements and deliver solutions on time.
- Continuously optimize and fine-tune models to improve performance and accuracy.
- Document the development process, model parameters, and maintain code repositories.
- Stay updated with the latest trends and advancements in AI and machine learning.
Requirements:
- Proven experience in machine learning, data science, and AI model development.
- Strong programming skills in Python, R, or similar languages.
- Expertise in libraries and frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying ML models.
- Solid understanding of algorithms, data structures, and problem-solving skills.
- Ability to communicate complex concepts to non-technical stakeholders.
- A degree in Computer Science, Data Science, AI, or a related field is preferred.
Preferred Skills:
- Experience with deep learning models, reinforcement learning, or GANs.
- Knowledge of data visualization tools such as Tableau, Power BI, or similar.
- Experience with big data technologies like Hadoop, Spark, or similar.
- Prior experience working in a client-facing or consulting role is a plus.
Benefits:
- Flexible working hours and remote work opportunities.
- Chance to work on diverse and exciting projects.
- Competitive pay based on experience and project complexity.
- Opportunity to collaborate with a dynamic and talented team.
