Top 13 lead machine learning engineer Jobs in houston, tx

AI Engagement Lead
Cognizant —Houston, TX
- $137,500 - $161,500 a year
- Full-time
- Hybrid work
- Computer Science
- 8 years
- Mentoring
- Paid parental leave
- Employee stock purchase plan
7d
Software Engineer, Tech Lead
Pariveda —Houston, TX
- $105,400 - $115,900 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Management
- Paid parental leave
- Health savings account
Lead Software Engineer, Data & Cloud
Pariveda —Houston, TX
- $105,400 - $115,900 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Management
- Paid parental leave
- Health savings account
Lead AI and Data Science Engineer - Manager
Deloitte —Houston, TX
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- 5 years
9d
Lead, AI Engineering
Bain & Co. —Houston, TX
- $179,500 - $203,500 a year
- Full-time
- Azure
- Office
- 3 years
- Wellness program
- Paid holidays
Quick Apply
Engineer-Process Controls, Lead
Tallgrass Energy —Houston, TX
- $185,500 - $202,200 a year
- Full-time
- Background check
- Microsoft Outlook
- Bachelor of Science
- Health savings account
- Paid holidays
Lead Full Stack Engineer
Deloitte —Houston, TX
- $105,600 - $210,000 a year
- Full-time
- Computer Science
- 5 years
- Java
7d
Lead Data Scientist(Oil and Gas Industry)
Tiger Analytics Inc. —Houston, TX
- Full-time
- Hybrid work
- Azure
- 3 years
- SQL
Quick Apply
Lead AI Developer
Quest Global —Houston, TX
- $90,000 - $110,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
- Paid time off
Quick Apply
Lead Software Engineer- Equities
JPMorganChase —Houston, TX
- Full-time
- Computer science
- Computer Science
- 5 years
- Health insurance
- Tuition reimbursement
Lead Business Transformation Architect
Deloitte —Houston, TX
- $134,500 - $265,100 a year
- Full-time
- Azure
- Up to 50% travel
- Mid-level
2d
Lead BMS Software Engineer
MICROVAST INC —Houston, TX
- Computer Science
- Writing skills
- English
Quick Apply

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AI Engagement Lead

Cognizant -
Houston, TX

Apply Now

Job Details

Full-time
$137,500 - $161,500 a year
7 days ago

Benefits

Paid parental leave
Employee stock purchase plan
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
Life insurance

Qualifications

AI models
Containerization systems
Generative models
AI platforms (beyond public GPTs)
Computational framework
Prompt engineering
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Continuous integration
Model evaluation
Machine learning frameworks
MLOps
Generative AI

Full Job Description

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Job Summary
We are seeking a Senior Manager AI/ML Lead to drive end-to-end machine learning strategy and delivery on Google Vertex AI. The role involves designing, training, deploying, and monitoring scalable ML and Generative AI solutions. You will operate at the intersection of data science, MLOps, and business value creation. This position requires strong leadership to guide teams and influence enterprise AI adoption. A key focus will be building production-grade systems that deliver measurable business impact.

In this role, you will:

Lead the complete ML lifecycle on Vertex AI including feature engineering, model training, evaluation, deployment, and monitoring.
Architect scalable MLOps pipelines using Vertex AI Pipelines, Model Registry, and Feature Store.
Drive adoption of Generative AI solutions including Gemini API, prompt engineering, and RAG-based architectures.
Collaborate with data engineering teams to ensure robust data pipelines and high-quality training datasets.
Establish model governance frameworks covering versioning, A/B testing, drift detection, and responsible AI practices.
Partner with business stakeholders to identify high-impact use cases and translate them into production AI solutions.
Lead, mentor, and scale AI/ML teams while maintaining high technical standards and conducting model reviews.
Stay updated with GCP AI advancements and evaluate new capabilities for enterprise implementation.

What you need to have to be considered

8+ years of experience in machine learning or data science, including 3+ years delivering production ML on cloud platforms.
Strong expertise in Google Cloud Vertex AI including custom training, AutoML, pipelines, Feature Store, and Model Registry.
Proficiency in Python with ML frameworks such as TensorFlow, PyTorch, scikit-learn, or XGBoost.
Hands-on experience with Generative AI, including prompt engineering, RAG architectures, and LLM evaluation.
Solid understanding of MLOps practices including CI/CD, model monitoring, data versioning, and containerization (Docker/Kubernetes).
Degree in Machine Learning, Computer Science, Statistics, or related field; GCP ML Engineer certification is a plus.

#LI-EF1
#CB
#Ind123
Applications will be accepted until 10 Jun 2026.

Salary and Other Compensation:
The hourly salary for this position is between $[137,500 - 161,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Apply Now

Refine Your Search

lead machine learning engineer jobs in houston, tx

AI Engagement Lead

Software Engineer, Tech Lead

Lead Software Engineer, Data & Cloud

Lead AI and Data Science Engineer - Manager

Lead, AI Engineering

Engineer-Process Controls, Lead

Lead Full Stack Engineer

Lead Data Scientist(Oil and Gas Industry)

Lead AI Developer

Lead Software Engineer- Equities

Lead Business Transformation Architect

Lead BMS Software Engineer

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