Ai/ml Platform Engineer Job at Altamira Technologies (Dayton, OH)

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Software Engineer – AI/ML Platform

As a Senior Software Engineer on Socure’s AI Platform team, you’ll design and bu...

Location

United States

Salary:

180000.00 - 200000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

4+ years of experience as a software engineer, with at least 2 years focused on low latency and highly available backend systems
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field with a strong academic record
Strong fundamentals in data structures, algorithms, and distributed computing principles
Strong analytical and problem-solving skills, with a passion for AI and machine learning
Strong programming skills in Python
Hands-on experience with model systems including low latency model serving, registry, and pipeline orchestration(preferably SageMaker)
Solid understanding of MLOps best practices, including model versioning, testing, deployment, and reproducibility
Experience building and maintaining CI/CD pipelines for ML workflows
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift)

Job Responsibility

Build and maintain scalable systems and infrastructure for deploying and serving ML models
Design low-latency, fault-tolerant model inference systems using Amazon SageMaker
Implement safe deployment strategies like blue/green deployments and rollbacks
Create and manage CI/CD pipelines for ML workflows
Monitor model performance and system health using AWS observability tools (e.g., CloudWatch)
Develop internal tools and APIs to help ML teams deploy and monitor models easily
Collaborate with ML engineers, data scientists, and DevOps to productionize new models
Participate in code reviews, system design, and platform roadmap discussions
Continuously improve deployment reliability, speed, and usability of the ML platform

What we offer

Offers Equity
Offers Bonus

Fulltime

Senior Vehicle Motion Control AI/ML Platform Design Engineer

Location

Canada , Markham

Salary:

115000.00 - 164600.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

M.S. with 5+ years or Ph.D. with 3+ years of experience in control systems development and/or technical leadership in vehicle controls or related dynamic systems
Deep theoretical and practical knowledge of chassis and vehicle dynamics
Proficiency in classical control methods such as PID, state feedback, and observers
Extensive experience with advanced control strategies, including adaptive control, MPC, learning-based MPC, ML/AI-based control strategies, and other modern control methods
Strong expertise in advanced state estimation, observer design, and sensor fusion for vehicle motion states
Hands-on experience with Kalman filter variants and with system identification and parameter estimation in vehicle dynamics applications
Demonstrated experience using Python for data analysis and applying machine learning or data-driven modeling to control, estimation, or vehicle dynamics problems
Ability to translate control, estimation, and learned components into robust, production-quality embedded software using C/C++, MATLAB/Simulink, and code generation workflows
Experience with vehicle dynamics simulation tools such as CarSim, CarMaker, or equivalent, and with MIL/SIL/HIL/DiL validation workflows
Proficiency with vehicle communication and development tools such as Vehicle SPY, INCA, and CANalyzer

Job Responsibility

Lead development of scalable, modular control and estimation strategies and software architectures for AI/ML-enabled vehicle motion control platforms
Design and implement advanced control algorithms, including state-space control, observers, estimators, optimal or robust control, model predictive control, and learning-enabled control approaches
Integrate AI/ML components such as learned models, estimators, and policies into real-time control loops while maintaining safety, stability, and interpretability
Drive end-to-end development and validation through model-based design, simulation, HIL, SIL, DiL, and in-vehicle testing and calibration
Lead high-value AI/ML applications in motion control and state estimation, including data-driven modeling, prediction, and learning-based estimation workflows
Define and improve data workflows for collection, curation, labeling, feature engineering, and validation using simulation, proving ground, and vehicle data
Contribute to process improvement, peer reviews, technical direction, and mentorship of other engineers
Create innovative technical solutions and help protect GM intellectual property through patents and publications

What we offer

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave
Healthcare, dental and vision benefits including health care spending account and wellness incentive
Life insurance plans to cover you and your family
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement
GM Vehicle Purchase Plan for you, your family, and friends

Fulltime

Vehicle Motion Control Ai/Ml Platform Design Engineer

As a Vehicle Motion Control AI/ML Platform Design Engineer, you will design and ...

Location

Canada , Markham

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Solid foundation in classical control methods such as PID, state feedback, and observers
Knowledge of advanced control strategies such as adaptive control, model predictive control, learning-based MPC, and ML/AI-based control approaches
Strong knowledge of state estimation and observer design
Experience with sensor fusion methods, including Kalman filter variations such as EKF, UKF, and particle filters, and understanding of system identification and parameter estimation in dynamic systems
Hands-on experience using Python for data analysis and model development, with exposure to ML frameworks such as PyTorch, TensorFlow, scikit-learn, and NumPy/pandas
Experience or a strong interest in applying machine learning or data-driven modeling to control, estimation, and system dynamics problems
Experience with model-based design and vehicle dynamics simulation tools such as CarSim, CarMaker, or equivalent
Working knowledge of embedded software development in C/C++, MATLAB/Simulink, and code generation for production-oriented development
Familiarity with vehicle communication and measurement tools such as Vehicle SPY, INCA, and CANalyzer
M.S. or Ph.D. in Controls, Robotics, Aerospace, Mechanical Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related field with relevant experience

Job Responsibility

Design and implement vehicle motion control, estimation, and AI/ML-enabled algorithms across multiple domains
Apply model-based design, simulation, and data-driven workflows to develop and validate control strategies, learned models, observers, and estimators
Support integration and testing in simulation environments such as CarSim, CarMaker, and Simulink, as well as HIL, SIL, and DiL setups
Contribute to data collection, curation, labeling, feature engineering, and analysis from simulation, proving grounds, and vehicle testing to support training and validation activities
Implement and evaluate AI/ML components in motion control loops with attention to safety, stability, and interpretability
Collaborate with cross-functional teams and deliver technical documentation, reports, and presentations
Participate in design reviews, peer reviews, and continuous improvement of development processes and technical standards

What we offer

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave
Healthcare, dental and vision benefits including health care spending account and wellness incentive
Life insurance plans to cover you and your family
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement
GM Vehicle Purchase Plan for you, your family, and friends

Fulltime

Staff AI/ML Engineer - CI Platform

The AI Cloud and Developer Infrastructure organization is responsible for delive...

Location

United States , Austin; Mountain View; Remote

Salary:

170000.00 - 240000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

7+ years of experience designing, building and operating production systems at scale in the cloud
Bachelors Degree in Computer Science or related field or equivalent work experience
Experience designing highly scalable, reliable, and maintainable services
Experience writing in Go, Python, or other languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
Ability to effectively make trade-offs and communicate the reasoning
Ability to manage competing priorities, focus on shipping, and work effectively under pressure

Job Responsibility

Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
Influence the team’s technical roadmap
Evaluate new tools and technologies through PoCs
Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
Drive software engineering best practices within your team, and create tooling which encourages these
Help steer the engineering culture on the team
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team
Set the example for high levels of accountability
Execute and deliver impact both individually and through the team

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior AI/ML Engineer, Autonomy Build Platform

This role is categorized as hybrid. This means the successful candidate is expec...

Location

United States , Mountain View

Salary:

170000.00 - 240000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

3+ years of experience leading and driving large-scale, cross-team initiatives
Bachelors Degree in Computer Science or related field or equivalent work experience
Experience working on developer tooling, Python, docker, etc.
Experience leading projects across multiple teams
Attention to detail, and a desire to improve processes & systems around you
Deep understanding of the business and operational impact for different technology tradeoffs
Passionate about self-driving technology and its potential impact on the world

Job Responsibility

Design and implement improvements to our Python development ecosystem and workflows, which have a measurable and direct impact on engineering productivity
Collaborate with engineers across the company to understand and support their development workflows
Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs
Lead complex projects that span teams, with many partners and customers
Effectively participate in planning, code reviews, and design discussions
Contribute impactful projects to the team's roadmap
Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible
Drive software engineering best practices both within our team and across engineering
Create tooling that encourages and supports these practices
Mentoring and up-leveling other engineers on the team

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior ML Platform Engineer, AI Platform

We are seeking a skilled and passionate ML Platform Engineer to join our team an...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

5+ years in backend software development
at least 2+ years focus on AI/ML Platform or MLOps infrastructure
deep expertise in MLOps practices, including automated deployment pipelines, model optimization, and production lifecycle management
proven experience designing and implementing low-latency model serving solutions
proficiency in Python
skill in writing high-quality, maintainable code
experience in design and development of large-scale distributed, high concurrency, low-latency inference, high availability systems
excellent communication and mentoring abilities
a relevant degree in Computer Science, Mathematics or related fields

Job Responsibility

Platform Development: Design, build, and maintain the end-to-end MLOps platform using Kubernetes and Cloud Services
Infrastructure as Code (IaC): Use Terraform or similar tools to manage, provision, and scale all ML-related infrastructure securely and efficiently
Pipeline Automation: Implement and optimize CI/CD/CT (Continuous Integration, Delivery, Training) pipelines to automate model training, testing, packaging, and deployment using tools like Argo and Kubeflow Pipelines
Serving Infrastructure: Build highly available, low-latency, and high-throughput model serving infrastructure
Observability: Implement robust monitoring, alerting, and logging solutions to track infrastructure health, model performance, and data/model drift
Tooling & Support: Evaluate, integrate, and support ML tools such as Feature Stores and distributed model training pipelines
Security & Compliance: Ensure platform security, implement RBAC (Role-Based Access Control), and manage secrets for sensitive data and production environments
Collaboration: Work closely with Data Scientists and ML Engineers to understand their needs and provide technical guidance on best practices for scaling their models

Fulltime

Platform Engineer - Data Science Platform

Location

United States , Columbus, OH or Dallas, TX or Minneapolis, MN

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent practical experience
5+ years of experience supporting Data Science infrastructure
5+ years of hands-on experience with AWS-hosted Data Lake, Data Science, or AI/ML platforms
5+ years of working knowledge with Kubernetes
AWS services such as SageMaker, Glue, Lambda, Athena
CI/CD tools such as Azure DevOps
Infrastructure as Code tools such as Terraform
Container technologies including Docker and Amazon ECR
Security tools such as AQUA and Kenna
Experience producing technical documentation and written solutions

Job Responsibility

Support and maintain ongoing Data Science infrastructure operations
Design, build, and deploy AWS environments using automated CI/CD pipelines
Manage and scale large, secure cloud environments to support current and future Data Science initiatives
Implement, own, and improve the image management lifecycle process
Assist with the setup and ongoing management of AWS accounts dedicated to the Data Science platform
Develop and maintain infrastructure pipelines using CI/CD tools (e.g., Azure DevOps)
Build and manage environments using Infrastructure as Code (IaC) tools such as Terraform
Develop scripts and applications using programming languages such as Python
Manage and support database technologies including Athena, Oracle, MySQL, and PostgreSQL
Leverage AWS services to enable Data Lake, Data Science, and AI/ML workloads

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

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Ai/ml Platform Engineer

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