Openkyber - Identity AI / ML Engineer

AI Developer is needed in Columbus, United States.

Client: Openkyber

Location: Indiana

Contract: Contract

Job Description

Title: Python Developer (AI/ML & Data Engineering experience needed) Location: Columbus, OH Work Arrangement: Fully On-Site from day one Candidate Preference: Local candidates preferred Duration: Contract (Minimum 06+ months) Target Start Date / Urgency to Fill Role: As early as possible

Jr. Role: Foundational experience in AI/ML and data engineering. The candidate will support data pipelines, assist in ML model development, and work closely with senior engineers to deliver scalable data-driven solutions.

Sr. Role: Strong experience in AI/ML and data engineering to design, build, and optimize scalable data platforms and machine learning solutions.

Lead Role: Lead Python Developer to drive AI/ML and data engineering initiatives, lead technical teams, and architect enterprise-scale data and machine learning platforms.

Requirements

Required Skills for Junior Role:

• 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/Google Cloud Platform basic)

Required Skills for Senior Role:

• 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 Google Cloud Platform)
• CI/CD and version control (Git)

Required Skills for Lead Role:

• 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/Google Cloud Platform)
• Experience leading teams and technical decision-making

Nice to Have Skills:

• Exposure to PySpark or Spark
• Basic knowledge of TensorFlow or PyTorch
• Understanding of REST APIs and Git
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker)
• Knowledge of Kafka or real-time data streaming
• Exposure to containerization (Docker, Kubernetes)
• Experience with GenAI, LLMs, and vector databases
• Exposure to Snowflake, Databricks, or BigQuery
• Strong communication and stakeholder management skills