Software engineer

As a software developer with 5-7 years of experience, particularly in large-scale data systems, you will be expected to possess a solid understanding of Machine Learning concepts such as regression, classification, and clustering. Proficiency in Python is a must, while familiarity with other programming languages like R, Java, or C++ would also be advantageous. It is essential to have hands-on experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, and Keras for this role. Key Responsibilities: - Demonstrate expertise in Machine Learning concepts including regression, classification, and clustering - Utilize Python programming skills effectively, with knowledge of other languages like R, Java, or C++ as a bonus - Work with ML libraries such as scikit-learn, TensorFlow, PyTorch, and Keras - Apply knowledge of data structures, algorithms, statistics, and Database Management Systems (DBMS) to solve complex problems - Communicate technical information clearly to both technical and non-technical audiences - Utilize data tools like Pandas, NumPy, and SQL to analyze and manipulate data effectively - Demonstrate soft skills like analytical thinking, problem-solving, adaptability, and teamwork in the work environment Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or related field - 5-7 years of experience in software development, with a focus on large-scale data systems - Strong understanding of Machine Learning concepts and practical experience with ML libraries - Proficiency in Python programming, with knowledge of other languages as a bonus - Familiarity with data tools such as Pandas, NumPy, and SQL - Excellent communication skills for conveying technical information effectively - Soft skills like analytical thinking, problem-solving, adaptability, and teamwork Desirable skills for this role include exposure to advanced Machine Learning areas like deep learning, Natural Language Processing (NLP), computer vision, or reinforcement learning. Knowledge of cloud platforms such as AWS, Azure, or GCP would be advantageous. Additionally, familiarity with version control systems like Git and an understanding of MLOps and pipeline concepts would benefit you in this position.,