Lead AI/ML Engineer

Inizio Partners Corp; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A technology consulting firm is seeking a Lead ML/AI Engineer to design and implement ML functionalities on cloud platforms. The role requires extensive experience in ML operationalization, software engineering, and technical leadership. Candidates should have a strong background in Python, SQL, and cloud technologies. This position offers an opportunity to drive ML initiatives and mentor engineers.

Qualifications

• 6+ years in analytics and ML operationalization.
• 5+ years in deploying analytical assets.
• 5+ years in Python programming.
• Experience in AI applications and systems.
• Proficient in real-time and streaming technology.

Responsibilities

• Design and implement ML/AI functionalities.
• Support deployment of ML pipelines on platforms.
• Establish strong software engineering principles.
• Provide technical leadership to ML engineers.
• Develop strategies for deploying ML models at scale.

Skills

Machine Learning

Cloud Platforms

Python Programming

SQL

Statistical Analysis

DevOps

Microservices

Data Engineering

AI Application Development

Real-time Streaming

Education

Bachelor’s degree in Computer Science

Master’s degree or PhD in relevant field

Tools

Azure

Google Cloud Platform

Snowflake

Kafka

Spark

Job description

As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.

Key responsibilities include:

• Support the deployment of ML/AI pipelines on the platform.
• Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
• Ability to translate functionality into scalable, tested, and configurable platform architecture and software.
• Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
• Deliver features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability.
• Innovative thinking and great communication skills.
• Strong ownership of deliverables, with design decisions aligned to scale and industry best practices.
• Provide technical leadership and mentorship to a team of machine learning engineers. Collaborate with cross-functional teams to align ML initiatives with overall business goals.
• Design, implement, and optimize machine learning algorithms and models. Stay abreast of the latest advancements in ML research and apply them to solve complex business problems.
• Architect and implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems.
• Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
• Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance.
• Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.

Required Qualifications:

• 6+ years of experience in analytics domains, and deep understanding of ML operationalization and lifecycle management.
• 5+ years of deploying and monitoring analytical assets in batch/real-time business processes.
• 5+ years of SQL & Python programming experience leveraging strong software development principles.
• Experience in designing and developing AI applications and systems.
• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.)
• Experience with REST API/Microservice development using Python/Java.
• Experience with deployment/scaling of apps on containerized environment (AKS and/or GKE)
• Experience with Snowflake/Big Query, Google Dataproc/Databricks or any big data frameworks on Spark
• Experience with RDBMS and NoSQL Databases and hands‑on query tuning/optimization.

Preferred Qualifications:

• Hands on experience in building solutions using cloud native services (Azure, GCP preferred)
• Understanding of DevOps, Infrastructure as Code, automation for self‑service

Education:

• Required: bachelor’s degree in Computer Science, Engineering, Statistics, Physics, Math, or related field or equivalent experience
• Preferred: master’s degree or PhD with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.