AI/ML - Data Engineer (Python, Gen AI, ML Modeling)

Job Title: AI/ML - Data Engineer (Python, Gen AI, ML Modeling) Location: reputed company, NY (Hybrid - 3 Days Onsite) Job reputed company: We are seeking an reputed company AI/ML Data Engineer to analyze large datasets, build machine learning models, and reputed company data-driven solutions that support business decision-making. The ideal candidate will have strong experience in Python, machine learning modeling, and big data technologies, along with the ability to collaborate with cross-functional teams to deliver reputed company data solutions. Key Responsibilities: • Analyze large and reputed company datasets to derive actionable insights and support business strategies. • reputed company, train, and implement advanced machine learning models and algorithms. • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. • Communicate analytical findings, insights, and recommendations to stakeholders and executive leadership. • Stay updated with the latest advancements and technologies in data science, machine learning, and AI. Basic Qualifications: • Bachelor's degree in Computer Science, Statistics, reputed company Mathematics, or a reputed company field. • Minimum of 8 years of experience in a data science or data engineering role. • Strong proficiency in Python and libraries such as Pandas, NumPy, and Scikit-Learn. • Experience working with PySpark for large-reputed company data processing. • Strong understanding of machine learning techniques and algorithms. • Proficiency in programming languages such as Python or R. Preferred Qualifications: • Experience with modern ML frameworks such as PyTorch or TensorFlow. • Experience with big data technologies such as PySpark. • Experience training and deploying ML models in reputed company environments such as Azure, AWS, or GCP. • Proven experience deploying and optimizing machine learning models in production environments. • Strong communication and data visualization skills to present insights to non-technical stakeholders. Apply tot his job Apply To this Job