Artificial Intelligence / Machine Learning Engineer

As an Artificial Intelligence / Machine Learning Engineer at our company based in Noida, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems. You will work on innovative projects that leverage AI and ML to drive business solutions and enhance product offerings. Your key responsibilities will include: - Designing, developing, and implementing machine learning models and algorithms to solve complex problems. - Analyzing and preprocessing large datasets to extract meaningful insights and improve model performance. - Collaborating with cross-functional teams to identify opportunities for AI/ML applications in various business areas. - Evaluating and enhancing existing models by incorporating new data and techniques. - Staying up-to-date with the latest advancements in AI and machine learning technologies and methodologies. - Documenting processes, creating technical specifications, and presenting findings to stakeholders. - Assisting in mentoring junior team members and contributing to a collaborative team environment. Qualifications required for this role include: - Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field. - 2+ years of experience in machine learning, data analysis, or a related field. - Proficiency in programming languages such as Python, R, or Java. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Strong understanding of statistical analysis, data mining, and predictive modeling techniques. - Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau). - Knowledge of databases and data processing technologies (e.g., SQL, Hadoop, Spark) is a plus. - Excellent problem-solving skills and ability to work independently and in a team. - Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Preferred qualifications include: - Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ML models. - Knowledge of natural language processing (NLP) or computer vision techniques. - Understanding of software development practices, including version control and agile methodologies.,