Senior Software Engineer, AI & ML Ops Job at Hyundai AutoEver America (Irvine)

Senior AI Software Engineer

We are seeking a highly skilled, fast learner and well rounded, AI Software Engi...

Location

Philippines , Makati City

Salary:

Not provided

Avaloq

Expiration Date

Until further notice

Requirements

At least M.Sc. degree in Computer Science, Engineering, or a related field
Strong background in data science, statistics, and experimental thinking
Understanding of data structures, algorithms, and software design principles
Effective communication and collaboration skills
Excellent analytical, coding, and debugging skills in Python
At least 5 years of experience in Full-Stack Software Development
At least 3 years of applied ML experience, with 1 year of experience with LLMs and Agents
Proven track-record of deploying and maintaining AI models in production
ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar
RAG pipelines with vector stores (e.g., Chroma, Qdrant)

Job Responsibility

Lead AI experiments and develop solutions from ideation to production
Collaborate with cross-functional teams to design and implement Agentic AI solutions
Develop advanced prompts, multi-Agents architecture and tools
Deploy and maintain LLM based solutions in production
Optimize solutions for performance, cost, and scalability
Stay up-to-date and evaluate the latest advancements in AI research and related regulations

What we offer

Annual bonus
Flexible working
Instant recognition
Access to Udemy for professional and personal learning

Fulltime

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

What we offer

medical, dental, vision, and 401(k)

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 AI Software Developer

The Senior AI Engineer owns end-to-end delivery of AI features—from design to pr...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 7-10 years’ experience
LLMs & Agents: Prompt engineering, function/tool calling, orchestration frameworks, RAG
ML/DS: Evaluation metrics (precision/recall, BLEU/ROUGE where relevant), error analysis
Data/RAG: Embeddings, similarity (cosine/IP), chunking, rerankers, vector DB operations
Backend: Python (FastAPI/Flask), microservices patterns
MLOps/Infra: Docker, Kubernetes, CI/CD, artifact management, GPU scheduling
Observability: Metrics/logging/tracing, dashboards, automated evaluation pipelines
Frameworks: PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex
Data: Pandas, SQL/NoSQL, Parquet/Arrow, Kafka/queues

Job Responsibility

Translate high-level designs into clear component contracts, APIs, and service boundaries
Implement LLM integrations, RAG pipelines, agents, tool/function calling, and prompt strategies
Own feature delivery for sprints/releases
maintain high code quality and documentation
Fine-tune models when needed
design evaluation harnesses and metrics
Build A/B testing setups
track accuracy, latency, robustness, and task success rates
Conduct error analysis
iterate using feedback efficacy loops and prompt refinement

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Senior Software Engineer

Are you an engineer who sees the big picture? Do you have the necessary insight ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Technical Stack: Big data, ML, NLP, and search technologies
Familiarity with Microsoft Cloud Services (Azure, AAD, O365)
Security awareness (penetration testing, threat analysis)
Background in computer engineering, preferably cloud services or DevOps and AI
Prior experience using Azure DevOps and GitHub for project tracking, or strong technical acumen to quickly learn new technologies
Comfort with command line, PowerShell and OSS software
Understanding of cloud, AI and other computing technologies, including business drivers and emerging trends across Microsoft and non-Microsoft technologies
Experience working in geographically dispersed teams
Ability to build relationships with senior technical and business leaders

Job Responsibility

Define business requirements with input from key stakeholders
Driving engineering initiatives across engineering teams, status reporting and surfacing risks
Collaborating with different teams to surface health and hygiene of engineering systems through monthly services reviews
Engineering Systems Ops Support: This includes incident management, build pipeline monitoring and maintenance for engineering systems. Responsible for investigating and troubleshooting infrastructure-related build failures, engaging with partner teams for other failures, and assisting internal teams to integrate with pipeline components
Support Geo Expansion: This involves supporting geo expansion work as part of the services owned by team
Bringing clarity to the execution roadmap, risks and status of various engineering initiatives through engineering newsletters and other forums
Automating program management through Azure DevOps, GitHub and Power BI
Being plugged into various security and services infrastructure initiatives
Partnering with solution engineers to validate that designs meet or exceed business needs
Build project timelines, estimates of level of effort, manage milestones, and course correct projects to maintain schedules

Fulltime

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
A passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior AI Engineer

DefineX is a next-generation consulting house and venture builder, helping finan...

Location

Turkey , Istanbul

Salary:

Not provided

DefineX

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science/Engineering, Mathematics or related fields
5+ years of hands-on experience in software development (in relevant field of studies), with a strong foundation in AI/ML technologies
Master proficiency in Machine Learning, Expert proficiency in Data Architecture Principles
Experience in RAG implementation / optimization (LangChain / HayStack or LlamaIndex knowledge, Prompt engineering, LLM understanding), Knowledge of huggingface libraries (datasets, transformers...)
Demonstrated experience with the latest NLP technologies (LLMs), machine learning algorithms, and statistical analysis methods
Define and develop cutting-edge AI and LLM-based solutions, tailored to enhance and innovate design and verification processes
Proficiency in programming languages such as Python, SQL, R
Strong understanding of data structures, data modeling, software architecture, and web services
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes, Git versioning) for deploying scalable applications
Experience in handling large datasets, data preprocessing, exploration, and visualization tools

Job Responsibility

Develop prototypes and proof of concepts in one or all of the following areas: LLM (Large Language Model), NLP (Natural Language Processing), a predictive AI project with its life cycle
Collaborate with cross-functional teams to design, develop, and implement end-to-end machine learning solutions, following industry-leading ML-Ops best practices
Work with stakeholders to understand business problems
Participate in internal and public funded research projects
Build systems and pipelines for continually processing and filtering large amounts of data
Work towards long-term ambitious research goals, while identifying intermediate milestones

What we offer

Growth and Development: Be part of a growing global team of professionals with training and support to help you grow
Every DefineXer has a Growth Coach to accelerate their growth through feedback
Independence and Ownership: Blur in creative and challenging business and technology transformation projects
Time Off: 20 vacation days per annum
We love to Give Back: You will get certain hours a year to volunteer and organize office volunteer programs with local NGOs
Health and Wellness: Competitive private health and life insurance coverage

Fulltime

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

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Senior Software Engineer, AI & ML Ops

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