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5 jobs found

1mo ago

Senior Machine Learning Engineer

Siemens Raleigh, NC

Raleigh, NC

1mo ago Closed

Full time Senior AI Ai Ml

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

Senior Machine Learning Engineer at Siemens in Raleigh, NC (onsite), leading LLM powered application development on AWS and owning the end-to-end model lifecycle with MLOps.

Responsibilities

Develop LLM driven applications by architecting retrieval augmented generation pipelines, coordinating prompts, building tools and agents, implementing safety controls, and creating evaluation harnesses; measure latency, cost, and quality.
Oversee the full ML lifecycle from data curation and feature engineering to training or fine tuning (LoRA or QLoRA), A/B testing, deployment, monitoring, and ongoing enhancement of models and prompts.
Deploy scalable AWS services using EKS, ECS and Lambda; leverage SageMaker, Bedrock, EMR, MSK, and Step Functions; implement observability with CloudWatch and OpenTelemetry and apply cost-control practices.
Establish MLOps and governance practices including CI/CD for models, model/version registries, data and prompt lineage, evaluation gates, and responsible AI controls.
Collaborate with Brightly across asset-management use cases to design ML and LLM solutions, working with product managers and UX to ship customer‑facing features that improve reliability, safety, and sustainability.
Conduct exploratory data analysis across structured, semi-structured, and unstructured data to reveal patterns, correlations, feature importance, and data quality issues.
Perform in-depth research on asset-related, operational, and domain datasets to uncover root causes, trends, and predictive signals.
Maintain a pragmatic, product‑oriented approach with a bias toward measurable outcomes and rapid iteration with stakeholders.
Practice engineering excellence by delivering production‑quality Python, designing reliable APIs and services, and upholding testing and observability standards.
Provide collaborative leadership by mentoring peers and influencing architectural decisions across teams.

Requirements

8 to 10 years of overall software or ML engineering experience, including at least 2 years building and operating production ML systems.
More than 1 year of hands-on LLM application development (RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using Langchain and Langgraph.
3+ years of AWS proficiency, with core services (EKS/ECS, Lambda, S3, DynamoDB or RDS, Step Functions, IAM) and ML stack familiarity (SageMaker, Bedrock or HF on AWS).
Modeling and frameworks expertise with Python, PyTorch, and Hugging Face ecosystem; experience with vector stores (OpenSearch, PGVector, Pinecone), embeddings, retrieval, and NLP/LLM evaluation metrics.
MLOps experience including CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, and automated retraining; Docker/Kubernetes and CI pipelines (GitHub Actions or GitLab CI).
Data engineering fluency covering ETL/ELT, streaming and batch processing (Spark/Flink), and data quality and governance controls for ML.

Technologies

Python
PyTorch
Hugging Face ecosystem
Langchain
Langgraph
SageMaker
Bedrock
OpenSearch
PGVector
Pinecone
Spark
Flink
AWS
EKS
ECS
Lambda
S3
DynamoDB
RDS
Step Functions
IAM
EMR
MSK
CloudWatch
OpenTelemetry
Docker
Kubernetes
GitHub Actions
GitLab CI
MLflow
Kedro
SageMaker Pipelines

Nice to Have

Experience with distributed training (FSDP, DeepSpeed), RLHF, or optimization on Inferentia/Trainium.
Exposure to sustainability, asset management, or intelligent operations domains.
Security and compliance knowledge for enterprise ML systems.

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1mo ago

Lead Data Engineer

INSPYR Solutions Doraville, GA 🇺🇸 Remote

Doraville, GA

1mo ago Closed

$60 - $70/hr Contract Artificial Intelligence Big Data Bigdata

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Lead Data Engineer at INSPYR Solutions in Doraville, GA (remote) responsible for architecting and optimizing distributed data pipelines, Lakehouse architecture, ML workflows, data quality, and production reliability.

Responsibilities

Design, build, and optimize scalable distributed data pipelines using Apache Spark within a high-volume, mission-critical environment.
Design and sustain an enterprise Lakehouse with Delta Lake, ensuring ACID transactions, data lineage, auditability, and governance.
Create automated ingestion frameworks for batch, streaming, and event-driven data across multiple cloud services and integration points.
Enable machine learning workflows by preparing feature-ready datasets and establishing reproducible deployment patterns for ML models.
Lead platform wide data quality, access control, and data cataloging initiatives.
Apply cost optimization, cluster tuning, and performance engineering techniques to maximize efficiency.
Collaborate with Finance, BI, Operations, and ML teams to translate business needs into scalable data solutions.
Own production reliability, troubleshoot incidents, and perform root cause analysis for data and ML pipelines.

Requirements

7+ years of experience in advanced data engineering with distributed compute technologies.
Expert Spark engineering experience, including performance tuning, cluster configuration, partition strategies, and large dataset optimization.
Hands-on experience with Lakehouse architectures featuring ACID transactions, schema evolution, and governance frameworks.
Advanced Python and SQL proficiency for large-scale data transformations.
Experience supporting machine learning pipelines or model operationalization.
Proven track record architecting cloud-native data platforms on Azure, AWS, or GCP.
Strong ability to integrate diverse, complex data sources at enterprise scale.
Demonstrated capacity to own mission-critical production systems.
Experience with distributed streaming frameworks such as Kafka, Event Hubs, or equivalent.
Experience building or supporting ML platforms, feature stores, or experiment tracking systems.
Background in data security, compliance controls, or audit-ready governance.
Experience automating data operations with CI/CD and infrastructure as code.

Technologies

Databricks, Python, SQL, Apache Spark, Delta Lake, MLflow, Notebooks
Hugging Face Transformers, LangChain, LlamaIndex, Anthropic Claude, Meta LLaMA, Google Gemini
Kafka, Event Hubs, REST APIs, ADLS, S3, GCS
Git, GitHub, GitLab, Azure Repos, Databricks Repos, GitHub Actions, Azure DevOps
Unity Catalog, RBAC

Benefits

Comprehensive medical benefits
Competitive pay
401(k) retirement plan

Core Tools

Databricks (Spark, Delta Lake, MLflow, Notebooks)
Python & SQL
Apache Spark (via Databricks)
Delta Lake for Lakehouse architecture

Cloud Platforms

Azure, AWS, or GCP
Cloud storage options: ADLS, S3, GCS

Data Integration

Kafka or Event Hubs for streaming data
Auto Loader for Databricks file ingestion
REST APIs
AI/ML workflows
MLflow for model tracking and deployment
Hugging Face Transformers
LangChain and LlamaIndex for LLM integration
LLMs: Anthropic Claude, Meta LLaMA, Google Gemini

DevOps

Git ecosystem: GitHub, GitLab, Azure Repos
Databricks Repos
CI/CD: GitHub Actions, Azure DevOps

Security & Governance

Unity Catalog
RBAC

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2mo ago

Senior Machine Learning Engineer

Leidos Vista, CA

Vista, CA

2mo ago Closed

$108k - $195k/yr Full time Ai Ml Artificial Intelligence Computer Vision

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

The Senior Machine Learning Engineer role at Leidos in Vista, CA onsite centers on MLOps enabled object detection for border security, guiding the development, deployment, and integration of models across operational systems.

Compensation

Annual salary range: USD 107,900 to 195,050.

Location

Vista, California, onsite

Responsibilities

Develop, train, and assess machine learning models using contemporary MLOps practices and frameworks
Design and maintain reproducible training pipelines to support scalable and repeatable experimentation
Collaborate with cross-functional teams to integrate models into operational systems and workflows
Enhance model performance and reliability through continuous monitoring, testing, and iteration

Requirements

MS or PhD in Data Science, Engineering, Applied Science, or a closely related field with a minimum of 10 years of industry experience
Ability to support the full ML lifecycle from data preparation and training to deployment and monitoring
Experience tracking experiments, model performance, and versioning using a platform such as MLflow to ensure transparency and auditability
Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs
Experience deploying and managing machine learning models in production using Docker or Kubernetes
Familiarity with modern data stacks including cloud platforms, data warehouses, and MLOps concepts
Ability to evaluate technical approaches and guide decision-making
Proven delivery ownership and strong cross-functional collaboration
Ability to multitask across multiple projects
Excellent written and verbal communication skills
Travel up to 25 percent may be required
Ability to obtain and maintain Public Trust access

Technologies

MLflow
DVC
MLFlow Dataset
LakeFs
Docker
Kubernetes
Kubeflow
Airflow
ResNet
Yolo
U-Net

Benefits

Competitive compensation
Health and wellness programs
Income protection
Paid leave
Retirement benefits

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2mo ago

Machine Learning Engineer, Motion Planning & Prediction

Avride Austin, TX

Austin, TX

2mo ago Closed

Full time Ai Ml Artificial Intelligence Big Data

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

Avride is seeking a Machine Learning Engineer to join its autonomous vehicle team focused on motion planning and prediction in Austin, TX (onsite).

Responsibilities

Design, train, and deploy advanced ML models for behavioral prediction and motion planning.
Build robust data pipelines to process, clean, and label large-scale vehicle sensor and simulation datasets.
Leverage transformers and other deep learning architectures to capture temporal interactions among traffic agents.
Define and own model performance metrics; develop evaluation frameworks aligned with on-road safety and performance.
Collaborate with software engineers to integrate and optimize models for real-time on-vehicle embedded hardware inference.
Stay current with ML research, including imitation learning and reinforcement learning, and apply novel techniques to the systems.

Requirements

Strong Python skills and hands-on experience with modern deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Solid grounding in ML fundamentals, including neural network architectures, training methodologies, and evaluation techniques.
Experience across the ML lifecycle, from data exploration and prototyping to deployment and monitoring.
Proficiency in C++ for high-performance model inference code.

Technologies

Python
PyTorch
TensorFlow
JAX
C++
MLflow
Kubeflow
Weights & Biases
Spark
Ray

Nice to Have

Strong track record in ML competitions such as Kaggle or notable contributions to major open-source ML projects.
Experience applying ML to robotics problems like behavioral prediction, motion planning, or computer vision.
Experience with MLOps tools and platforms such as MLflow, Kubeflow, Weights & Biases.
Experience with large-scale distributed data processing and training frameworks such as Spark or Ray.
Publications in top ML or robotics conferences (e.g., NeurIPS, ICML, CVPR, ICLR, CoRL, RSS).

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3mo ago

Machine learning Engineer

Tata Consultancy Services Pennington, NJ

Pennington, NJ

3mo ago Closed

$105k - $125k/yr Full time Analytics Artificial Intelligence Automation

This position is no longer accepting applications (closed Jun 8, 2026).

Job Description

Benefits

Join Tata Consultancy Services in Pennington, NJ and access a comprehensive benefits package that supports your health, finances, and ongoing professional growth.

Discretionary Annual Incentive
Medical Coverage (Medical & Health, Dental & Vision)
Disability Insurance
Pet Insurance
Maternal & Parental Leaves
Auto & Home Insurance
Identity Theft Protection
Commuter Benefits
Certification & Training Reimbursement
Vacation, Time Off, Sick Leave & Holidays
401K Plan
Performance Bonus
College Fund
Student Loan Refinancing

Overview

This onsite Machine Learning Engineer role at Tata Consultancy Services is based in Pennington, NJ. It emphasizes hands-on data science, model development, and building scalable ML data pipelines to deliver production-ready solutions. The position requires a Bachelor of Computer Science and offers a salary range of USD 105,000 - 125,000 per year.

Responsibilities

Hands-on ML engineering with deep experience in data science, model development, and scalable data/ML pipelines.
Delivery of production-ready ML solutions with strong execution and technical craftsmanship.

Requirements

CI/CD for ML using MLflow, Kubeflow, SageMaker, or Azure ML
Model versioning, monitoring, and retraining workflows
Docker and Kubernetes for deployment
Strong Python proficiency (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Experience with AWS, Azure, or GCP ML services
Supervised models such as Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs
Deep learning: Neural Networks, CNN, RNN, Transformers (PyTorch or TensorFlow); classification models and evaluation methods (AUC, ROC, precision/recall, cross-validation)
Data cleaning, handling missing values and outliers; feature scaling, encoding, time-series feature generation; strong exploratory data analysis and statistical analysis skills
Building and maintaining ML/data pipelines with Spark, Databricks, Airflow; data ingestion, transformation, validation (Great Expectations preferred)

Technologies

MLflow
Kubeflow
SageMaker
Azure ML
Docker
Kubernetes
Python ecosystem: NumPy, pandas, scikit-learn, PyTorch, TensorFlow
AWS, Azure, GCP ML services
Spark, Databricks, Airflow
Great Expectations
XGBoost, LightGBM
Logistic Regression, Random Forest, SVMs
Neural Networks, CNN, RNN, Transformers

Job Details

Location: Pennington, NJ
Salary: USD 105,000 - 125,000 per year
Education: Bachelor of Computer Science
Job ID: 409540
Job Function: Technology
Role: Engineer

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