IT Talie is seeking a highly skilled and experienced Machine Learning Engineer to join our team. The ideal candidate should possess a strong background in both computer vision and natural language processing (NLP), with a focus on object detection, instance segmentation, and similar tasks in the field of computer vision. Additionally, the candidate should be proficient in working with Hugging Face packages in Python for NLP tasks.
Responsibilities
The Machine Learning Engineer will be responsible for:
Designing and developing machine learning systems for computer vision and NLP applications.
Implementing and optimizing machine learning algorithms, with a strong focus on PyTorch and the ability to adapt to other frameworks such as TensorFlow, Keras, or JAX.
Providing solutions for a wide range of tasks, including computer vision, NLP, and working with tabular and structural data.
Creating and working with sound and audio data is a plus.
Developing microservices using FastAPI and creating demos with Gradio and Streamlit.
Experience with Docker is also a plus.
Qualifications
The ideal candidate should possess the following qualifications:
Proven experience in machine learning engineering or a similar role.
Proficiency in Python and its associated machine learning and data science libraries.
Strong understanding of machine learning best practices and Python development best practices.
Excellent communication and collaboration skills.
Innovative mindset with a passion for continuous learning.
Additional Information
Upon review of the candidate's resume, our engineering team will provide an assignment to assess the candidate's skills. Successful completion of the assignment will lead to further evaluation by our human resources division.
معرفی شرکت
ما یک مجموعه خلاق، متخصص و نوآور در حوزه اینشوررتک هستیم و تصمیم داریم به تیم فنی خود همکارهای خلاق، متخصص و البته دارای روحیه پیشرفت و یادگیری اضافه کنیم اگر دوست دارید با توجه به شرایط بیان شده با ما همراه شوید کافیه رزومتون رو برامون بفرستید تا اسرع وقت با هم ارتباط برقرار کنیم