Data Scientist - Machine Learning

Job Description : - Work on a variety of machine learning projects, including classification, regression, and clustering problems. - Develop, implement, and evaluate machine learning models to solve real-world business challenges. - Perform data analysis and exploration to understand data characteristics and identify patterns. - Clean, pre-process, and transform data for machine learning model development. - Visualize and communicate insights effectively to technical and non-technical audiences. - Collaborate with data engineers, analysts, and product managers to translate business requirements into technical solutions. - Continuously monitor and improve the performance of machine learning models. - Stay up-to-date with the latest advancements in machine learning algorithms and techniques. - Participate in the development and maintenance of a robust data science infrastructure using Git/GitHub for version control. - Utilize SQL to extract and manipulate data for analysis and model development. Nice to Haves : - Experience deploying end-to-end machine learning solutions using frameworks like FastAPI or Flask. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. - Experience setting up and configuring Remote Access Gateways (RAGs) in GenAI (a plus). Qualifications : - Master's degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience). - Proven experience 3 years working with traditional machine learning techniques (classification, regression, clustering). - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. - Proficiency in Python programming languages and libraries (NumPy, Pandas, scikit-learn). - Basic understanding of database concepts and proficiency in SQL. - A passion for learning and staying up-to-date with the latest advancements in data science (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 1/10/2025