Data Scientist (Developer)

We are looking for a talented Data Scientist (Developer) to join our team in Hyderabad. The ideal candidate will have a strong background in AI/ML, with hands-on experience in developing data-driven solutions. You will collaborate with cross-functional teams to build and deploy machine learning models that solve real-world problems, improve business processes, and drive decision-making. Key Responsibilities: ? Develop machine learning models and algorithms to extract insights and make data-driven decisions. ? Implement advanced data analytics and machine learning models using AI/ML techniques. ? Work closely with product and business teams to understand business requirements and translate them into machine learning solutions. ? Collaborate with data engineers to collect, clean, and process large datasets. ? Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in data. ? Design and implement data pipelines to automate the processing and analysis of data. ? Test and validate models to ensure they perform optimally in production. ? Optimize existing models for improved performance and scalability. ? Communicate results to non-technical stakeholders through clear visualizations and reports. ? Stay up-to-date with the latest developments in the field of AI/ML. 

Required Skills and Qualifications: ? 4-7 years of experience in Data Science, with a minimum of 3 years in AI/ML development. ? Proficiency in programming languages such as Python and R for building machine learning models. ? Strong understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. ? Hands-on experience with AI/ML frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. ? Experience with data wrangling, feature engineering, and model evaluation techniques. ? Familiarity with data visualization tools such as Matplotlib, Seaborn, or Tableau. ? Strong knowledge of SQL for querying large datasets. ? Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for model deployment and scaling. ? Experience with Docker and Kubernetes for model deployment is a plus. ? Excellent problem-solving skills and ability to work in a fast-paced environment. ? Strong communication skills to present technical concepts to non-technical stakeholders.