Lead AI/ML Engineer

Cloud Hybrid Technologies, LLC; Malvern (Chester County); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology firm seeks an experienced data engineer skilled in designing and optimizing machine learning pipelines. The role requires a Bachelor's degree and over 7 years of relevant experience, including 3 years with AWS ETL services. Ideal candidates are well-versed in Python and software engineering principles. Responsibilities include developing MLOPS pipelines, collaborating with data scientists, and ensuring the quality and reliability of data pipelines. This is a great opportunity for professionals passionate about AI and machine learning.

Qualifications

• 7+ years of relevant experience in AI engineering, machine learning engineering or data engineering.
• 3+ years of hands-on experience building ETL pipelines using AWS services.
• Proven experience developing ML pipelines for deploying, monitoring, and managing AI models.

Responsibilities

• Design and optimize complex data pipelines using machine learning best practices.
• Develop robust MLOPS pipelines to manage AI models in production.
• Collaborate with data scientists to validate datasets and document features.

Skills

AI engineering

Machine learning engineering

Data engineering

Python

AWS services

ETL pipelines

Software engineering principles

Education

Bachelor's degree in a relevant field

Master's degree preferred

Tools

AWS SageMaker

Job description

Responsibilities

• Design develop and optimize complex data pipelines using machine learning engineering best practices to ensure scalability efficiency and reliability
• Develop and implement robust MLOPS pipelines to support the deployment, monitoring and lifecycle management of AI or ML models in production environments.
• Integrate and maintain data and model pipelines proactively diagnosing data quality issues and documenting assumptions.
• Collaborate closely with data scientists to validate model‑ready datasets and ensure thorough accurate feature documentation.
• Conduct exploratory data analysis and discovery on raw data sources incorporating business context to support model development.
• Track data lineage and perform root cause analysis during early‑stage exploration or issue resolution.
• Partner with internal stakeholders to understand business processes and translate them into scalable analytical solutions.
• Develop and maintain model monitoring scripts, investigate alerts and coordinate timely resolution.

Qualifications

• Bachelor’s degree in a relevant field required, master’s degree preferred, 7+ years of relevant experience in AI engineering, machine learning engineering or data engineering experience
• Minimum 3+ years of hands‑on experience building ETL pipelines using AWS services
• Proven experience developing and implementing ML pipelines for deploying, monitoring and managing AI or ML models in production.
• Proficient in Python and familiar with key machine learning frameworks and libraries
• Strong understanding of cloud technologies and AI or ML platforms like AWS SageMaker.
• Solid grasp of software engineering principles including design patterns, testing, security and version control.
• Knowledge of the machine learning development life cycle (MDLC) and AI engineering best practices
• Experience designing and implementing end‑to‑end machine learning pipelines and solution architectures

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract