Senior AI/ML Engineer Job at Realign

Senior AI/ML Engineer

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

170600.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
2+ years of experience in AI/ML research and applied development
Expertise in modern ML architectures (transformers, generative AI, multimodal systems)
Strong programming skills in Python
Strong communication, collaboration, and mentoring abilities

Job Responsibility

Research, design, and implement advanced Vision-Language Models and Vision-Language-Action models to enhance the autonomous vehicle's semantic understanding and decision-making capabilities
Develop and execute techniques for onboard model optimization, including quantization, distillation, and architecture search, to ensure large foundational models run efficiently on vehicle edge hardware
Partner closely with downstream engineering teams (perception, planning, and control) to integrate foundational VLM/VLA outputs into the active vehicle software stack
Contribute to the technical roadmap by identifying high-impact research areas and translating strategic machine learning priorities into concrete, actionable prototypes
Provide technical mentorship to junior researchers and engineers, fostering a culture of excellence and collaborative innovation
Secure intellectual property through patents and represent the company externally by publishing peer-reviewed research at top-tier machine learning conferences

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

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radi...

Location

United States , Sunnyvale

Salary:

170600.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

6+ years of experience building robust distributed platforms and applications
Hands-on experience leveraging AI tools (agentic coding, search, documentation generators, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities
Proficiency in writing and reviewing high‑quality, scalable, and performant full-stack code using technologies and languages like Python, TypeScript, Go, React, SQL, Redux, GraphQL, WebGL
Solid understanding of relational databases, data modeling, and API design
Strong fundamentals in object‑oriented design and design patterns, data structures, algorithms, and engineering best practices (TDD, code quality, observability, CI/CD)
Experience developing and operating cloud‑based applications

Job Responsibility

Build high‑impact labeling experiences
Level up how ML teams work with data
Apply ML to labeling itself
Champion AI‑assisted engineering
Own projects end‑to‑end
Collaborate across the AV stack

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

Join our dynamic and innovative team at Alter Domus as an AI & ML Engineer, wher...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

5+ years of total experience with relevant experience of 3+ years in Python and related data science libraries (NumPy, Pandas, PyTorch, TensorFlow)
Experience creating agentic AI workflows using Lang graph, Autogen, CrewAI or other agent libraries
Experience with vector databases (Pinecone, Qdrant, or similar)
Proficiency with REST APIs and microservice architecture
Familiarity with AWS cloud platform
Experience with containerization (Docker) and orchestration tools (Kubernetes)
Strong understanding of NLP concepts and LLM implementation
Experience with prompt engineering and fine-tuning language models

Job Responsibility

Build & Prototype: Assemble off-the-shelf LLMs into Alter Domus’ products and agentifying workflows
Rapidly prototype in low-code/visual studios and with agentic frameworks
Automate & Integrate: Connect assistants to real systems via MCP, APIs, webhooks, and microservices
Code with AI Helpers: Leverage GitHub Copilot, Cursor, Windsurf, Cline and Q Developer to accelerate development
Write unit/integration tests and help maintain CI/CD pipelines
Live Projects: Continue to develop domusAI, domiAI, domusDocs, and multi-agentic frameworks
Learn & Collaborate: Work with an agile team to master AI techniques and deploy customized solutions
Support & Iterate: Help define test plans, troubleshoot issues, tune prompts, gather feedback from stakeholders

What we offer

Support for professional accreditations such as ACCA and study leave
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Fulltime

Senior AI/ML Engineer

We are currently seeking a Senior AI/ML Engineer to join our team in Irving, Tex...

Location

United States , Irving

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Overall 7+ years of experience
3+ Years of experience in Python programming skills, including data manipulation with libraries like Pandas, NumPy and scikit-learn
2+ Years of experience in machine learning frameworks like TensorFlow and PyTorch
2+ Years of experience with Working exposure in the framework like Lang chain, Langraph for integrating with large language models
Expertise in PyTorch, TensorFlow, Keras, or scikit-learn
Exposure of working with LLM offering – Google Model Garden, Amazon Bedrock etc. -- from one of the cloud providers – Google, AWS, Azure etc.
Deep knowledge of NLP, Computer Vision, and vector databases like Pinecone or Weaviate
Proficient in prompt engineering and understanding different strategies like zero-shot, Chain-Of-Thought etc
Strong knowledge of Data science and different sampling techniques to derive the data subset and draw conclusions.

Job Responsibility

Designing and fine-tuning advanced AI/ML algorithms, including Generative AI, Large Language Models (LLMs), and traditional ML techniques
Dive Data-driven insights by sampling the data using different strategies like Supervised & Un-Supervised leading, reinforcement, deep learning etc
Building scalable, reliable, and secure end-to-end ML pipelines that handle data ingestion, model training, and real-time inference
Automating model deployment and monitoring for performance, accuracy, and data drift in cloud environments like AWS, Azure, or Google Cloud
Providing technical guidance to junior engineers, shaping AI strategy, and collaborating with cross-functional teams like Product and Data Science
Staying at the forefront of AI advancements to implement cutting-edge technologies like Retrieval-Augmented Generation (RAG) and Agentic AI
Integrating the processed data with generative AI models to deliver business use cases
Provide technical leadership and oversight to developers engaged in Python, model integration and data sampling

Fulltime

Senior AI/ML Engineer

Location

United Kingdom , Chester

Salary:

80000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML
Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflow
Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL
Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit-learn
Strong understanding of data modelling, data governance, security and responsible AI practices
Excellent problem-solving skills and the ability to explain technical concepts to varied audiences
Ability to manage priorities and deliver results in a fast-paced environment

Job Responsibility

Build and maintain end-to-end AI/ML pipelines in Microsoft Fabric
Design, train, deploy, and monitor machine learning and deep learning models
Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback
Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions
Uphold data quality, governance, security, and responsible AI practices
Evaluate and adopt new tools and technologies to enhance our AI/ML platform
Mentor junior colleagues and foster a culture of innovation and knowledge sharing

What we offer

Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through our performance-based bonus program
33 days’ holiday (including bank holidays), plus up to 5 extra with long service
Option to purchase extra holiday days if you wish
A day off for your birthday
2 volunteering days per year
Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay)
Pension scheme with employer contributions
Discounted and last-minute stays at Forest Holidays and Sykes Cottages for you, your friends & family
Special offers and discounts designed to enhance your overall wellbeing
Health cash plan & life assurance

Fulltime

Senior AI/ML Engineer

We are seeking an experienced Senior AI/ML Engineer capable of driving complex A...

Location

India , Mumbai

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong proficiency in Python
Hands-on experience with ML libraries/frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face
Machine Learning Expertise: Strong understanding of Deep learning, Feature engineering, Model evaluation techniques, Model optimization
NLP & LLM Experience: Working experience with transformer models and LLM APIs, Expertise in prompt engineering, embeddings, and vector databases, Familiarity with tools/technologies such as OpenAI / Claude / Llama, FAISS, Pinecone, Weaviate, Chroma
MLOps & Deployment: Experience with Docker, Kubernetes, CI/CD for ML pipelines, Model monitoring and versioning, Hands-on with tools like MLflow, Kubeflow, Airflow
Cloud Platforms: Hands-on experience with at least one major cloud platform: AWS, Azure, GCP, Experience with cloud AI services such as SageMaker, Azure ML, or Vertex AI

Job Responsibility

AI/ML Model Development: Design, build, and optimize machine learning models for real-world use cases, Develop models for prediction, classification, recommendation, and NLP tasks, Build end-to-end ML pipelines for training, validation, and evaluation
Generative AI & LLM Development: Develop applications using Large Language Models (LLMs), Build and maintain RAG (Retrieval-Augmented Generation) pipelines, Implement prompt engineering, embeddings, vector search, and semantic retrieval, Fine-tune LLMs when required
Production Deployment: Deploy ML models into production using scalable microservices and APIs, Build inference pipelines with high performance and low latency, Implement monitoring, logging, and model performance optimization
Data Engineering Collaboration: Work with data engineering teams to build robust ML training and inference pipelines, Ensure clean, high-quality datasets and feature engineering workflows
AI Platform & Architecture: Design ML system architecture for high-volume, low-latency environments, Integrate AI/ML solutions into enterprise-grade applications
Research & Innovation: Stay updated on the latest advancements in AI, ML, and Generative AI, Evaluate and experiment with new frameworks, LLMs, and tools

Fulltime

Senior AI/ML Engineer

We are looking for a Senior AI/ML Engineer for our AI initiatives. You will be p...

Location

India , Noida

Salary:

Not provided

Taazaa Inc

Expiration Date

Until further notice

Requirements

Expert proficiency with LLM SDKs, ML frameworks like PyTorch or TensorFlow (Keras is welcome)
mastery of LangChain and LangGraph is a plus
Strong hands-on experience with Python, SQL, Docker, and Microservices architecture
Experience with Kubernetes is a plus
A solid fundamental understanding of Mathematics and Statistics (Linear Algebra, Probability, and Statistical Significance) that underpins modern neural networks
Proven experience managing workloads within a public cloud (AWS, GCP, Azure, etc.) ecosystem
Practical experience building in HIPAA or GDPR/CCPA compliant environments
Effective Communication
Leadership and Mentorship
Problem-Solving Attitude

Job Responsibility

Design and implement complex, stateful agentic workflows using LangGraph and LangChain
Implement tool calling and Model Context Protocol (MCP) to securely connect models to diverse data sources and tools
Optimize high-throughput model serving using vLLM or similar high-performance engines
Establish and enforce high-quality coding standards and modular architectural patterns across the AI stack
Lead by example through rigorous code reviews and hands-on technical guidance, fostering a culture of technical rigor and production readiness
Architect scalable database schemas (SQL, NoSQL, and Vector) optimized for RAG, hybrid search, and real-time analytics
Build and maintain robust data pipelines that ensure high data quality for model training and evaluation
Own the containerization (Docker/Kubernetes) and deployment of AI workloads on public and private clouds
Ensure all systems meet strict regulatory requirements, including HIPAA, GDPR, and CCPA
Implement MLOps practices, including automated testing for AI outputs and performance monitoring

What we offer

competitive compensation and performance-based incentives
opportunities for professional growth through workshops and certifications
flexible work-life balance with remote options
collaborative culture
exposure to diverse projects across industries
clear career advancement pathways
comprehensive health benefits
perks like team-building activities

Fulltime

Senior AI/ML Engineer

We are seeking a Senior AI/ML Engineer with strong technical depth and leadershi...

Location

Bahrain

Salary:

Not provided

Lobellia

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s in Chemical Engineering, AI/ML, or related field
10+ years of hands‑on AI/ML experience, including 4+ years in a senior or lead role
Proven project delivery in industrial or energy sectors (oil & gas preferred)
Strong understanding of process engineering, instrumentation, and control systems
Experience developing dynamic process simulations using PFDs and P&IDs
Expertise with large‑scale, time‑series, and sensor/IoT data
Strong background in supervised, unsupervised, deep learning, and reinforcement learning
Experience with Generative AI, RAG, vector embeddings, and multi‑agent systems
Cloud deployment experience (AWS, Azure, or GCP) and edge AI for real‑time operations
Python and Visual Basic

Job Responsibility

Develop dynamic process simulation models and plant scenario analyses
Perform exploratory data analysis, data preprocessing, and trend identification
Build classical ML models, soft sensors, and reinforcement learning solutions for autonomous process control
Design AI systems for troubleshooting plant upsets and supporting asset performance management
Apply Generative AI, RAG, vector embeddings, and multi‑agent systems for industrial decision‑making
Deploy scalable AI models across industrial platforms and integrate with PLC, DCS, SCADA, historians, MES/MOM, EAM, SCM, and ERP systems
Ensure adherence to ethical AI principles, including fairness, transparency, and bias mitigation
Lead and mentor ML engineers and process engineers
Guide development of accurate dynamic simulation models
Promote best practices in data analysis, feature engineering, and model development

Fulltime

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