
Machine Learning Engineer Specialist
2 days ago
**Data Driven Innovations Leader**
Main Responsibilities:- Develop and deploy AI/ML models to drive business innovation.
- Create scalable architectures for AI models, ensuring seamless integration with existing systems.
- Collaborate with data engineers to implement robust data pipelines for training and serving AI models.
- Manage the entire lifecycle of AI models, from data preparation to deployment and monitoring.
- Optimize models for performance, scalability, and accuracy.
- Evaluate new AI technologies, frameworks, and algorithms to enhance capabilities.
- Contribute to research and development efforts to create innovative AI-driven solutions.
- Provide technical guidance and mentorship to junior AI engineers and data scientists.
- Lead code reviews, promote best practices, and ensure adherence to AI and data engineering standards.
- Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.
- 6+ years of experience in AI/ML engineering or data science.
- Proven track record of deploying AI/ML models in production environments.
- Strong programming skills in Python, R, or Java.
- Expertise in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with NLP, computer vision, or deep learning.
- Experience with transformers and LLMs (e.g., GPT, BERT, Bloom, T5).
- Proficiency in database systems (SQL, NoSQL).
- Familiarity with MLOps tools (e.g., MLflow, Kubeflow).
- Strong problem-solving and analytical abilities.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced, cross-functional environment.
- Competitive salary.
- Fuel Card.
- Health benefits.
- Professional development opportunities.
- Inclusive work culture and more.
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