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AI/ML Engineer
2 months ago
MyCareersFuture is seeking an experienced AI/ML Engineer to join our team and contribute to the development of innovative AI solutions. As a key member of our team, you will be responsible for designing and deploying AI solutions to optimize manufacturing processes, enhance decision-making, and drive innovation.
Key Responsibilities:- Develop and implement generative AI solutions specifically tailored for manufacturing, focusing on improving efficiency, quality, and productivity.
- Create and manage AI/ML algorithm pipelines using Azure ML and other relevant cloud-native services.
- Refine pre-trained language models to address specific manufacturing problems, such as sales forecasting, predictive maintenance, quality control, or supply chain optimization.
- Build intuitive web applications to enable manufacturing teams to interact with and benefit from AI-powered tools.
- Work closely with cross-functional teams to understand their challenges, gather requirements, and deliver practical AI solutions.
- Continuously learn about the latest advancements in AI, ML, and NLP to apply to the company new AI projects.
- Bachelor's degree in Computer Science, Data Science, or a related technical field, with a strong emphasis on AI/ML and cloud technologies.
- 1 to 2+ years of relevant experience in machine learning, data science, software development, or a related role, with a proven track record in Generative AI project development.
- Proficient in NLP techniques, including prompt engineering, RAG, and advanced language models; deep understanding of machine learning algorithms.
- Demonstrated experience in ETL processes for data ingestion, transformation, and loading to support AI model development.
- Proficiency in Python (Visual Studio Code, Jupyter Notebook) and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of cloud platforms (Azure ML preferred).
- Expertise in front-end frameworks (e.g., React, Angular).
- Strong team player with proven ability to collaborate effectively on projects.
- Demonstrated rapid learning ability and adaptability to new technologies.