Data Scientist

Job Description

Experience Level: 3-6 Years Education Level: BE/B.Tech/ME/ M.Tech (CS or ECE) B.Tech/M.Tech in Electronics/Computer Science At least 4 years work experience (B.Tech/MTech) in Computer Vision/Image Processing/Signal Processing/Machine Learning Candidate need to work form SRIB Bangalore with 3 days working from office is mandatory We are seeking a highly motivated and talented Data Scientist to join our dynamic team. This role is ideal for individuals with 3-6 years of experience who are passionate about machine learning, data science, and artificial intelligence. The successful candidate will work closely with our experienced engineers and data scientists to develop, implement, and improve machine learning models and algorithms that drive our products and services. Job Requirements Strong fundamentals in Signal Processing/Computer Vision, Machine Learning, Deep Learning Strong proficiency in python , C++ , Linux Fluency in data structures, algorithms Knowledge of embedded realization of ML models is a plus Prior experience with Deep learning frameworks such as Tensorflow/Pytorch Assist in the design, development, and implementation of machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Preprocess and analyze large datasets to extract meaningful insights and patterns. Perform data cleaning, feature engineering, and data augmentation to improve model performance. Conduct experiments to test hypotheses and evaluate the performance of different machine learning approaches. Implement and optimize machine learning pipelines for efficiency and scalability. Deploy machine learning models into production environments and monitor their performance. Document methodologies, processes, and results to ensure reproducibility and knowledge sharing. Stay up to date with the latest advancements in machine learning and related technologies. Job Description Use innovative ideas to continuously improve the solution to take them to the end-user Extensive quality evaluation and regression testing of the developed solution to meet strict quality guidelines Actively participate in design discussions to enhance end-to-end development of the solution Follow strict agile practices with regular code reviews, etc Excellent problem-solving skills and ability to think critically and creatively. Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Internship or project experience related to machine learning or data science. A project portfolio with multiple real life projects (pet projects are welcome)