Lead Python Developer (with ML Expertise)

As a Lead Python Developer with ML Expertise at NAM Info Inc., you will be responsible for developing, testing, and deploying high-quality Python-based applications and services. Additionally, you will lead and coordinate a small engineering team, mentor junior and mid-level engineers, drive end-to-end ML/LLM project lifecycles, build and maintain scalable ML/GenAI pipelines and APIs, integrate MLOps/GenAIOps tooling, design and implement GenAI features, work with large-scale data processing technologies, create and manage CI/CD pipelines, and collaborate cross-functionally to align technical delivery with product/business goals. Key Responsibilities: - Develop, test, and deploy high-quality Python-based applications and services - Lead and coordinate a small engineering team, mentor junior and mid-level engineers - Drive end-to-end ML/LLM project lifecycles, build and maintain scalable ML/GenAI pipelines and APIs - Integrate and operationalize MLOps/GenAIOps tooling - Design and implement GenAI features, work with large-scale data processing technologies - Create and manage CI/CD pipelines for model and application deployment - Collaborate cross-functionally to align technical delivery with product/business goals Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field Must-Have Skills: - Expert-level Python programming - Proven experience deploying ML/LLM models into production - Hands-on experience with ML Ops/Gen AI Ops stacks - Familiarity with agentic AI frameworks and their real-world application - Experience with big data ecosystems and cloud/distributed systems - Prior experience leading or mentoring engineering teams Positive-to-Have: - Experience tuning large language models and integrating vector databases - Strong grasp of DevOps practices and infrastructure-as-code - Open-source contributions or participation in AI/GenAI communities Soft Skills: - Leadership mindset with the ability to motivate and grow engineers - Strong problem-solving, decision-making, and technical communication skills - Ability to balance hands-on delivery with team enablement As a Lead Python Developer with ML Expertise at NAM Info Inc., you will be responsible for developing, testing, and deploying high-quality Python-based applications and services. Additionally, you will lead and coordinate a small engineering team, mentor junior and mid-level engineers, drive end-to-end ML/LLM project lifecycles, build and maintain scalable ML/GenAI pipelines and APIs, integrate MLOps/GenAIOps tooling, design and implement GenAI features, work with large-scale data processing technologies, create and manage CI/CD pipelines, and collaborate cross-functionally to align technical delivery with product/business goals. Key Responsibilities: - Develop, test, and deploy high-quality Python-based applications and services - Lead and coordinate a small engineering team, mentor junior and mid-level engineers - Drive end-to-end ML/LLM project lifecycles, build and maintain scalable ML/GenAI pipelines and APIs - Integrate and operationalize MLOps/GenAIOps tooling - Design and implement GenAI features, work with large-scale data processing technologies - Create and manage CI/CD pipelines for model and application deployment - Collaborate cross-functionally to align technical delivery with product/business goals Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field Must-Have Skills: - Expert-level Python programming - Proven experience deploying ML/LLM models into production - Hands-on experience with ML Ops/Gen AI Ops stacks - Familiarity with agentic AI frameworks and their real-world application - Experience with big data ecosystems and cloud/distributed systems - Prior experience leading or mentoring engineering teams Positive-to-Have: - Experience tuning large language models and integrating vector databases - Strong grasp of DevOps practices and infrastructure-as-code - Open-source contributions or participation in AI/GenAI communities Soft Skills: - Leadership mindset with the ability to motivate and grow engineers - Strong problem-solving, decision-making, and technical communication skills - Ability to balance hands-on delivery with team enablement