Python Developer – AI/ML & Data Engineering

1. Junior Python Developer – AI/ML & Data Engineering Location: Columbus, OH (Relocation Allowed) Experience: 6+ Years Job Description We are looking for a Junior Python Developer with foundational experience in AI/ML and data engineering. The ideal candidate will support data pipelines, assist in ML model development, and work closely with senior engineers to deliver scalable data-driven solutions. Responsibilities • Develop and maintain Python-based applications and data pipelines • Assist in building and training ML models under guidance • Work with structured and unstructured data sources • Perform data cleaning, transformation, and validation • Support ETL processes and basic cloud deployments • Collaborate with cross-functional teams (Data, AI, Product) Required Skills • Strong Python programming fundamentals • Basic understanding of ML concepts (regression, classification, clustering) • Experience with Pandas, NumPy, Scikit-learn • Knowledge of SQL and databases • Exposure to ETL tools or data pipelines • Familiarity with cloud platforms (AWS/Azure/GCP – basic) Nice to Have • Exposure to PySpark or Spark • Basic knowledge of TensorFlow or PyTorch • Understanding of REST APIs and Git 1. Senior Python Developer – AI/ML & Data Engineering Location: Columbus, OH (Relocation Allowed) Experience: 8+ Years Job Description We are seeking a Senior Python Developer with strong experience in AI/ML and data engineering to design, build, and optimize scalable data platforms and machine learning solutions. Responsibilities • Design and develop scalable Python applications and data pipelines • Build, train, and deploy ML models in production environments • Optimize data workflows for performance and reliability • Work with big data technologies and distributed systems • Collaborate with data scientists and architects on solution design • Ensure code quality, security, and best practices Required Skills • Advanced Python development experience • Strong hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch) • Data engineering experience using Spark/PySpark • Strong SQL and NoSQL database knowledge • Experience with ETL/ELT pipelines • Hands-on cloud experience (AWS, Azure, or GCP) • CI/CD and version control (Git) Nice to Have • Experience with MLOps tools (MLflow, Kubeflow, SageMaker) • Knowledge of Kafka or real-time data streaming • Exposure to containerization (Docker, Kubernetes) 1. Lead Python Developer – AI/ML & Data Engineering Location: Columbus, OH (Relocation Allowed) Experience: 10+ Years Job Description We are looking for a Lead Python Developer to drive AI/ML and data engineering initiatives, lead technical teams, and architect enterprise-scale data and machine learning platforms. Responsibilities • Lead end-to-end design and delivery of AI/ML and data engineering solutions • Architect scalable, secure, and high-performance data platforms • Guide and mentor junior and senior developers • Define best practices, coding standards, and architecture guidelines • Work closely with stakeholders to translate business requirements into technical solutions • Oversee ML model lifecycle, deployment, and monitoring Required Skills • Expert-level Python development • Strong architecture experience in AI/ML systems • Deep data engineering expertise (Spark, PySpark, Hadoop, Kafka) • Production ML deployment and MLOps experience • Strong cloud architecture experience (AWS/Azure/GCP) • Experience leading teams and technical decision-making Nice to Have • Experience with GenAI, LLMs, and vector databases • Exposure to Snowflake, Databricks, or BigQuery • Strong communication and stakeholder management skills