TRooTech Business Solutions - AI/ML Engineer

Key Responsibilities :

- Design and develop machine learning models and algorithms for different applications, such as computer vision, natural language processing, Large Language Model and predictive analytics.

- Must have experience in RAG Based applications

- Collect, preprocess, and analyze data from various sources to train and test machine learning models.

- Collaborate with cross-functional teams, such as software developers, data scientists, and business analysts, to define requirements and deliver solutions.

- Implement and optimize machine learning models on various platforms, such as cloud, edge devices, and embedded systems.

- Evaluate the performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score.

- Use best practices for software engineering, such as version control, code review, and testing, to ensure high-quality and scalable solutions.

- Keep up-to-date with the latest research and trends in AI/ML and apply them to improve the performance and efficiency of machine learning models.

Requirements :

- Bachelor's or Master's degree in Computer Science or related fields.

- 3+ years of experience in AI/ML, with a focus on designing and developing machine learning models and algorithms.

- Strong programming skills in one or more languages such as Python, R, or MATLAB.- Python

- Experience with popular AI/ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn. - he worked , know of Pytorch

- Experience in Web Frameworks like Django, Flask or Fast Api

- Experience with statistical modelling, NLP, LLM and computer vision. - Nlp know, computyert

- Knowledge of statistical analysis, linear algebra, calculus, hypothesis testing, and probability theory.

- Experience with data preprocessing, data visualization, and data analysis tools such as Pandas, NumPy, and Matplotlib.

- Strong problem-solving skills and the ability to work independently and as part of a team.

- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred :

- Experience with distributed computing, parallel processing, and cloud computing platforms such as AWS, Azure, or Google Cloud.-aws

- Experience with computer vision, natural language processing, or time-series analysis.

- Experience with software engineering best practices such as agile development, continuous integration, and deployment.

- Experience with data management and SQL databases.

- Experience with python data scraping packages like requests, selenium, scrapy.