Software Engineer AI/ML Ops Job at BlackLine (Pleasanton)

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...

Location

United States , Pleasanton

Salary:

245000.00 - 307000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Proficiency in containerization technologies (e.g., Docker, Kubernetes)
Proficient in scripting languages (e.g., Bash, python) for automation
Experience with workflow orchestration tools (e.g., Apache Airflow)

Job Responsibility

Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

Fulltime

Senior Software Engineer - AI/ML

Bevel is an AI Health Companion that helps people make smarter decisions about t...

Location

United States , New York

Salary:

180000.00 - 215000.00 USD / Year

Bevel

Expiration Date

Until further notice

Requirements

4+ years of experience designing, building, and running a large-scale backend system, including hands-on experience deploying and scaling AI/ML systems in production environments
Familiarity with AI/ML tooling and infrastructure (e.g., training pipelines, experiment tracking, feature stores, model monitoring, evaluation frameworks)
Expertise coding in Typescript or Python
Strong intuition for algorithms and working with data
Brilliant at math and statistics
Obsessive with your craft
Great at communicating ideas
A strong bias for action
Know when to ask for help and how to help others
Excited about improving the health & fitness of others

Job Responsibility

Ship features across the entire backend stack, from data infra to product endpoints
Build extensible and robust business logic for processing health data
Prototype, productionize, and run experiments to improve accuracy, speed, and cost of AI/ML models
Establish best practices for scalability, security, testing, and ML ops (model versioning, monitoring, alerting)
Continuously iterate on the engineering process and culture

What we offer

Exciting work environment
Competitive salary & equity
Health, dental, and vision insurance
Commuter benefits
Paid lunch and dinner
Work-life balance
Pet-friendly office in Chelsea
Unlimited PTO
401k plan

Fulltime

Senior Software Engineer, AI & ML Ops

Hyundai AutoEver America seeks a seasoned Senior AI/ML Engineer to architect, de...

Location

United States , Irvine

Salary:

103170.00 - 158873.00 USD / Year

Hyundai AutoEver America

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field
advanced degrees/certifications are a plus
8+ years of software engineering experience, including 3+ years in AI/ML solution development
Proven experience designing and deploying LLM-based solutions, traditional ML models, RAG systems, and agent workflows
Strong expertise in Python, TensorFlow/PyTorch, Hugging Face, prompt engineering, vector databases, and AI orchestration
Hands-on experience with AWS SageMaker/Bedrock, Azure OpenAI, or Azure ML Studio, plus MLOps best practices (CI/CD, testing, model monitoring)
Proficiency in frontend frameworks (React), cloud-native deployment (Docker/Kubernetes), microservice APIs, and relational/NoSQL databases

Job Responsibility

Architect and develop scalable AI/ML and LLM-based systems, including RAG pipelines, agentic workflows, predictive models, and generative AI solutions
Build full‑stack AI applications, including React-based dashboards and front‑end interfaces integrated with backend services and cloud infrastructure
Develop data pipelines and ML Ops workflows using Python, SQL, AWS/Azure platforms, and monitoring tools to train, deploy, and optimize models
Lead cross-functional AI initiatives, deliver PoCs/MVPs, ensure compliance with AI governance, and integrate AI features into enterprise and user-facing systems
Provide technical leadership and mentorship, guiding standards, code reviews, model documentation, and best practices in AI/ML development
Continuously improve AI performance and reliability through prompt engineering, architecture enhancements, and data optimization

What we offer

comprehensive medical/dental coverage
generous PTO
education assistance
annual merit increase eligibility

Fulltime

AI Ops Engineer

The AI Ops Engineer role involves designing, deploying, and optimizing AI-powere...

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4+ years of hands-on software engineering, cloud, or platform engineering experience
Strong experience operationalizing AI/ML or GenAI applications in production environments
Proven expertise with Microsoft Azure cloud platform, especially AI/ML services
Experience with CI/CD pipelines, infrastructure automation, and cloud deployments
Strong troubleshooting, monitoring, and production reliability experience
Ability to independently manage AI deployments end-to-end
Degree in Computer Science, Engineering, Data Science, or equivalent practical experience
Experience deploying and managing AI/ML and LLM-based applications in production
Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Studio, and Cognitive Services
Knowledge of containerization and orchestration (Docker, Kubernetes, AKS)

Job Responsibility

Design, deploy, operate, and optimize enterprise-grade AI-powered applications and intelligent agents on Azure that support business workflows and customer interactions at scale
Operationalize AI/ML models and LLM-powered applications by managing deployment pipelines, monitoring performance, ensuring reliability, and maintaining scalability in production environments
Work closely with engineering, product, and CX teams to ensure AI systems run efficiently in production
Leverage Azure services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, Kubernetes, and DevOps pipelines to operationalize AI workloads, continuously monitor model performance, improve latency and accuracy, and ensure governance, security, and system stability
Deploy AI agents and AI-powered applications to production environments
Maintain CI/CD pipelines for AI models and applications
Monitor AI system performance, reliability, and usage metrics
Troubleshoot operational issues including latency, hallucinations, or integration failures
Implement logging, observability, and evaluation frameworks for AI systems
Manage Azure infrastructure supporting AI workloads

Machine Learning/Sr. Software Engineer

We’re changing the way America views entertainment. Literally. If you love being...

Location

United States , Sunnyvale

Salary:

Not provided

DCM Infotech Limited

Expiration Date

Until further notice

Requirements

7-10+ years’ work experience or equivalent programming in Python
5+ years’ experience with high-scale, high performance and high availability server development
Solid understanding of algorithm complexity, parallel/distributed systems, advanced data structures, computer networking and operating systems
Development expertise in REST/SOAP/JSON API
Development expertise in message bus technologies such as RabbitMQ, ActiveMQ
Apache Kafka preferred
Solid working knowledge of NoSQL – Cassandra is a must
Proficiency with Python, Django, Flask and distributed system frameworks such as Apache Zookeeper
2 years of experience in AI/ML
Prior experience working with Agile/Scrum methodologies

Job Responsibility

Design and Develop Rest and messaging based software infrastructure and build back-end systems and APIs
Design and develop low latency/high throughput server infrastructure components to handle large volume of transactions
Analyze requirements, design and develop code, unit test code and test tools
Present and defend architectural, design, and technical choices to internal and external audiences.
Comfortable with collaboration, open communication and reaching across dev, qa, ops and other cross functional teams
Comfortable in working in the newGen technologies like AI and ML modeling projects and initiatives.

Staff Software Engineer, (Backend) Uber AI Solutions

At Uber, our mission is to be the platform of choice for flexible earning opport...

Location

United States , San Francisco, California; Sunnyvale, California

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s (or Master’s) degree in Computer Science, Engineering or related discipline (or equivalent experience)
Expert in at least one major backend or infrastructure technology (languages, frameworks, distributed systems, data pipelines) and comfortable influencing architecture across teams
Strong record of mentoring and developing engineers, setting technical standards, and driving impact beyond a single team
Excellent communication and collaboration skills
able to engage with multiple teams, stakeholders, and articulate vision and trade-offs
Experience participating in hiring and helping build out engineering teams or capability
8+ years of professional software engineering experience, with substantial experience designing, building, and operating large-scale systems across multiple teams
Deep understanding of ML Ops ecosystems, LLM or ML model lifecycle management, and large-scale data processing frameworks (e.g., Kubeflow, Airflow, Ray, Spark)
Proven experience architecting systems for data labeling, translation, or human-in-the-loop workflows supporting high-volume ML applications
Strong familiarity with GenAI, Physical AI and LLM infrastructure model hosting, fine-tuning, evaluation, and integration into production services

Job Responsibility

Architect and evolve core systems that span multiple teams, ensuring scalability, performance, and long-term maintainability of critical platform services
Provide technical leadership across teams, driving alignment on design patterns, service interfaces, and shared infrastructure investments
Mentor and develop senior engineers, elevating technical depth, decision-making, and design rigor across the broader group
Champion the adoption of AI-assisted development tools and modern engineering practices to improve code quality, reliability, and delivery speed across teams
Influence hiring and talent development, helping shape team composition and maintaining a high engineering bar across multiple teams

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Software Developer, Scaled Ops AI Acceleration Team

Meta is seeking experienced Partner Engineers to join the Scaled Operations AI A...

Location

Ireland , Dublin

Salary:

Not provided

Applied Ai Engineer

You will be working with the Head of Data and AI office on R&D and Product initi...

Location

Poland

Salary:

16000.00 - 24000.00 PLN / Month ▼

Montrose Software

Expiration Date

Until further notice

Requirements

3+ years of experience delivering end-to-end Data and AI solutions and products
Experience in delivering systems and solutions with LLM agentic architectures
Understanding of cloud-native architectures and operations
Hands-on experience with Databricks or a comparable Lakehouse platform (Snowflake, BigQuery + Vertex, Microsoft Fabric)
Familiarity with machine learning mathematical toolboxes
Experience with containerized, scalable, elastic deployments, microservice architecture (REST, gRPC)
Comfortable with data engineering
Proficiency with SQL
Understanding of data architectures: OLTP, OLAP, vector and graph databases, column-based file formats
Knowledge of DevOps, MLOps, LLMOps best practices

Job Responsibility

Define and develop proof of concepts for Data and AI products and solutions
Conduct market and technology research
architect optimal solutions to address business challenges
Map AI/ML techniques to specific business problems
Build and productionise solutions on the Lakehouse (Databricks: Unity Catalog, Delta Lake, MLflow, Model Serving, Mosaic AI Agent Framework, Vector Search)
Forecast operational AI costs for solutions at scale
Support business intelligence reporting to guide Data solutions
Develop end-to-end data products and solutions with an MLOps and LLMOps mindset within Montrose Software’s Data and AI framework
Conduct product and feature discovery meetings with Clients aiming for a cost efficient solution addressing clients goals within their context like budgets, operations, talent pools, data maturity
Execute within Montrose's AI delivery and ops patterns and best practices

What we offer

High-quality equipment
Flexible working hours
Remote work possibility
International project teams
English lessons
Training budget
Clear career path
Private medical insurance
Multisport card
Lunch budget

Fulltime

Select Country

Software Engineer AI/ML Ops

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?