Artificial Intelligence / Machine Learning Engineer

We are looking for a skilled and enthusiastic Artificial Intelligence / Machine Learning Engineer with at least 2 years of experience to become a part of our vibrant team. The perfect candidate will possess a solid foundation in machine learning algorithms, data analysis, and software development. You will be involved in cutting-edge projects that utilize AI and ML to create business solutions and enhance our product offerings. Responsibilities: - Design, create, and deploy machine learning models and algorithms to address intricate challenges. - Analyze and preprocess extensive datasets to extract valuable insights and enhance model efficacy. - Collaborate with diverse teams to identify possibilities for AI/ML applications in different business domains. - Assess and refine existing models by integrating new data and methodologies. - Keep abreast of the latest advancements in AI and machine learning technologies and techniques. - Document procedures, generate technical specifications, and present discoveries to stakeholders. - Support in guiding junior team members and contribute to a cooperative team atmosphere. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a relevant field. - 2+ years of experience in machine learning, data analysis, or a related area. - Proficiency in programming languages like Python, R, or Java. - Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Sound understanding of statistical analysis, data mining, and predictive modeling approaches. - Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau). - Awareness of databases and data processing technologies (e.g., SQL, Hadoop, Spark) is a bonus. - Excellent problem-solving abilities and capability to work both independently and in a team. - Effective communication skills to convey technical ideas to non-technical stakeholders. Preferred Qualifications: - Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ML models. - Understanding of natural language processing (NLP) or computer vision techniques. - Knowledge of software development practices, including version control and agile methodologies.,