Analytics Solutions Associate

As an Applied AI/ML Engineer/Data Scientist within our team, you will make a real impact by solving complex problems and delivering cutting-edge models into production environments. Collaborate with experts to design and deploy advanced solutions that drive quality and productivity. **Key Responsibilities:** - Develop and implement AI/ML models and algorithms to solve business problems. - Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. - Train and evaluate AI/ML models using large datasets. - Train and evaluate AI/ML models to help design test cases, automate coding, design self-healing codes, predict defects, identify optimized regression cases, etc. - Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets. - Optimize and fine-tune AI/ML models for performance and accuracy. - Design and develop data pipelines to preprocess and transform data for AI/ML models. - Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Minimum 6 years of demonstrated experience in applied AI/ML engineering. - Strong programming skills in Python, with experience in developing and maintaining production-level code. - Proficiency in working with large datasets and data preprocessing. - Solid understanding of Software Testing and SRE practices. - Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting, and natural language processing. - Experience in Agentic AI. - Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models. - Strong problem-solving and analytical skills. - Excellent communication and collaboration skills. - Knowledge of infrastructure operations. *Note: The job description does not contain any additional details about the company.*,