Senior software engineer - ML

As a software developer with 5-7 years of experience, particularly with large-scale data systems, you should possess a B.Tech / B.E or ME/ M.Tech / MCA degree. Your expertise should extend to machine learning concepts such as regression, classification, and clustering. Proficiency in Python (or R, Java, C++) is essential, along with hands-on experience in ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras. A strong foundation in data structures, algorithms, statistics, and DBMS is crucial for this role. Your communication skills, both verbal and written, should cater to technical and non-technical audiences. Additionally, familiarity with data tools like Pandas, NumPy, and SQL, along with soft skills like analytical thinking, problem-solving, adaptability, and teamwork, will be beneficial. **Key Responsibilities:** - Utilize your expertise in machine learning concepts like regression, classification, and clustering. - Demonstrate proficiency in programming languages such as Python, R, Java, or C++. - Apply hands-on experience with ML libraries including scikit-learn, TensorFlow, PyTorch, and Keras. - Build a strong foundation in data structures, algorithms, statistics, and DBMS. - Communicate effectively with both technical and non-technical audiences. - Utilize data tools like Pandas, NumPy, and SQL for analysis and modeling. - Demonstrate soft skills including analytical thinking, problem-solving, adaptability, and teamwork. **Qualifications Required:** - B.Tech / B.E or ME/ M.Tech / MCA degree. - 5-7 years of experience in software development with a focus on large-scale data systems. Desirable skills for this position include exposure to advanced ML areas such as deep learning, NLP, computer vision, or reinforcement learning. Knowledge of cloud platforms like AWS, Azure, or GCP is advantageous. Familiarity with version control using Git and an understanding of MLOps and pipeline concepts are considered a bonus.,