Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apetan Consulting, is seeking the following. Apply via Dice today! **Job Title:** Data Scientist / AI & Machine Learning Engineer **Location:** Remote **Job Summary** We are seeking a highly skilled **Data Scientist / AI & Machine Learning Engineer** to design, develop, and deploy scalable data-driven and AI solutions. The ideal candidate will work remotely with cross-functional teams to transform complex data into actionable insights and production-ready machine learning models. **Key Responsibilities** - Analyze large, structured and unstructured datasets to extract insights and trends - Design, build, train, and deploy machine learning and AI models - Develop predictive, classification, recommendation, and NLP models - Perform data preprocessing, feature engineering, and model optimization - Implement end-to-end ML pipelines (training, validation, deployment, monitoring) - Work with stakeholders to translate business problems into analytical solutions - Deploy models using cloud platforms and MLOps best practices - Continuously evaluate model performance and improve accuracy - Document methodologies, models, and results clearly **Required Skills & Qualifications** - Strong proficiency in Python (NumPy, Pandas, Scikit-learn) - Experience with Machine Learning & Statistical Modeling - Hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras) - Solid understanding of probability, statistics, and linear algebra - Experience with SQL and data manipulation - Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau) - Experience deploying models using REST APIs or microservices - Knowledge of Git, Agile/Scrum methodologies - Strong analytical, problem-solving, and communication skills **Preferred / Nice-to-Have Skills** - Experience with NLP, Computer Vision, or Generative AI (LLMs) - Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes) - Cloud experience: AWS / Azure / Google Cloud Platform - Experience with Big Data tools (Spark, Hadoop) - Exposure to AutoML or AI platforms - Prior experience in remote or distributed teams **Education** - Bachelor's or Master's degree in Computer Science, Data Science, AI, Mathematics, or related field