Machine Learning Engineer

Requirements: Required degree/ Diploma in Computer Science, Engineering or a certificate course in ML or relevant field. 1-2 years of professional experience as a Machine Learning Engineer, Data Scientist, or asimilar role. Strong programming skills in Python and experience with machine learning libraries such as QLora, Langchain, TensorFlow, PyTorch, or scikit-learn. Experienced with Falcon, Guanaco, Vicuna model building and training. Understanding of machine learning algorithms, techniques, and their applications. Proficiency in data preprocessing, feature engineering, and data visualization. Develop, train, and deploy machine learning models for various applications, such as natural language processing, computer vision, recommendation systems, or predictive analytics. Collaborate with data scientists to understand project requirements and translate them into technical solutions. Conduct exploratory data analysis and preprocessing tasks to prepare data for modeling. Implement and optimize machine learning algorithms and techniques to achieve accurate and scalable solutions. Evaluate and benchmark models using appropriate performance metrics and evaluation techniques. Participate in code reviews and maintain clean and efficient code repositories. Collaborate with software engineers to integrate machine learning models into production systems. Stay up-to-date with the latest advancements in machine learning techniques, frameworks, and libraries. Contribute to the development and improvement of data infrastructure and tooling. Document and communicate technical concepts and solutions effectively to cross- functional teams. Machine Learning Engineer We are seeking a talented and ambitious Machine Learning Engineer tojoin our team. The ideal candidate will have 1-2 years of professional experience in machine learning and a strong passion for building innovative solutions. In this role, youwill collaborate with our data science and engineering teams to develop and deploy cutting-edge machine learning models and algorithms. Responsibilities: Preferred Qualifications: Working experience in DJango is plus point. Experience with deep learning frameworks like Keras or Caffe. Familiarity with cloud platforms, such as AWS, Azure, or GCP. Understanding of software engineering principles and practices. Knowledge of SQL and database systems for data manipulation and retrieval. Experience with data visualization libraries, such as Matplotlib or Tableau.( will be plus point) Understanding of natural language processing (NLP) Strong understanding of statistical concepts and experimental design. Contributions to open-source machine learning projects or publications in relevant conferences or journals. Knowledge of version control systems, such as Git, for collaborative software development. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication skills and the ability to work effectively in a team environment. Self-motivated and eager to learn new technologies and methodologies.