AI Azure ML Engineer Job at NTT DATA (Cluj)

Senior Engineer / Lead Engineer - Virtual Engineering - AI ML

Sponsorship:  GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
5+ years in Automotive Manufacturing / Manufacturing Engineering Experience
1+ year experience in implementing AI/ML solutions in Automotive use cases
Should have executed at least 2 end-to-end projects in the text or Image data domain (from problem definition to deployment)
Strong programming skills in Python
Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost
Solid understanding of statistics, probability, and linear algebra
Experience in data preprocessing, feature engineering, ETL and Exploratory Data Analysis (EDA)
Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML)
Knowledge of ML model evaluation

Job Responsibility

Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space and solve them using ML methodologies
Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendation systems
Work with MLOps tools to automate workflows, CI/CD pipelines, and model monitoring
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organizational knowledge sharing
Stay updated on advancements in ML model evaluation, ML frameworks, end-to-end ML pipelines

Fulltime

Ai Engineer - Azure & C# .Net

We are seeking a capable and solutions‑focused AI Engineer to join our growing A...

Location

United Kingdom

Salary:

60000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Hands-on experience building solutions with Azure AI Services and integrating them into applications and/or data solutions
Working knowledge of Azure OpenAI and common GenAI patterns (prompting, evaluation, basic RAG)
Some experience with ML delivery (training, packaging, deployment, monitoring) in a live environment
Proficiency in C#/.NET plus SQL fundamentals
Understanding of vector search concepts (embeddings, chunking, retrieval) and secure API integration
Experience using Git-based workflows and CI/CD pipelines (e.g., GitHub or Azure DevOps)
Strong communication and problem-solving skills, including clear technical documentation

Job Responsibility

Build and enhance GenAI solutions using Azure OpenAI, Azure AI Services, and Copilot extensibility, following agreed patterns
Implement RAG architectures (vector retrieval, embeddings, prompt strategies) with secure LLM integrations
Build conversational assistants and workflow automations using Copilot Studio and the Power Platform
Contribute to experimentation, prototyping, and PoC development to evaluate AI capabilities and feasibility
Support evaluation and integration of third‑party AI tools or APIs where required, working with the team to meet governance and security requirements
Develop and operationalise ML models with appropriate review and documentation
Translate prototypes into robust services, collaborating with engineering colleagues to meet non-functional requirements
Create ML pipelines and automate lifecycle workflows using team tooling and standards
Assist with monitoring, optimisation, escalating risks and issues where appropriate
Build AI-enabled services and APIs using .NET/C#, Azure Functions, and REST under guidance on patterns and quality

Fulltime

Ai Engineer - Azure & C# .Net Or Python

We are seeking a capable and solutions-focused AI Engineer to join our growing A...

Location

United Kingdom

Salary:

60000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Hands-on experience building solutions with Azure AI Services and integrating them into applications and/or data solutions
Working knowledge of Azure OpenAI and common GenAI patterns (prompting, evaluation, basic RAG)
Some experience with ML delivery (training, packaging, deployment, monitoring) in a live environment
Proficiency in either C#/.NET or Python, plus SQL fundamentals
Understanding of vector search concepts (embeddings, chunking, retrieval) and secure API integration
Experience using Git-based workflows and CI/CD pipelines (e.g., GitHub or Azure DevOps)
Strong communication and problem-solving skills, including clear technical documentation
Based in the UK with valid right to work

Job Responsibility

Build and enhance GenAI solutions using Azure OpenAI, Azure AI Services, and Copilot extensibility
Implement RAG architectures (vector retrieval, embeddings, prompt strategies) with secure LLM integrations
Build conversational assistants and workflow automations using Copilot Studio and the Power Platform
Contribute to experimentation, prototyping, and PoC development to evaluate AI capabilities and feasibility
Support evaluation and integration of third-party AI tools or APIs
Develop and operationalise ML models with appropriate review and documentation
Translate prototypes into robust services, collaborating with engineering colleagues
Create ML pipelines and automate lifecycle workflows using team tooling and standards
Assist with monitoring, optimisation, escalating risks and issues
Build AI-enabled services and APIs using .NET/C#, Python, Azure Functions, and REST

Fulltime

AI Engineer - Azure / C# .NET or Python

We are seeking a capable and solutions-focused AI Engineer to join our growing A...

Location

United Kingdom

Salary:

60000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Hands-on experience building solutions with Azure AI Services and integrating them into applications and/or data solutions
Working knowledge of Azure OpenAI and common GenAI patterns (prompting, evaluation, basic RAG)
Some experience with ML delivery (training, packaging, deployment, monitoring) in a live environment
Proficiency in either C#/.NET or Python, plus SQL fundamentals
Understanding of vector search concepts (embeddings, chunking, retrieval) and secure API integration
Experience using Git-based workflows and CI/CD pipelines (e.g., GitHub or Azure DevOps)
Strong communication and problem-solving skills, including clear technical documentation

Job Responsibility

Build and enhance GenAI solutions using Azure OpenAI, Azure AI Services, and Copilot extensibility, following agreed patterns
Implement RAG architectures (vector retrieval, embeddings, prompt strategies) with secure LLM integrations
Build conversational assistants and workflow automations using Copilot Studio and the Power Platform
Contribute to experimentation, prototyping, and PoC development to evaluate AI capabilities and feasibility
Support evaluation and integration of third-party AI tools or APIs where required, working with the team to meet governance and security requirements
Develop and operationalise ML models with appropriate review and documentation
Translate prototypes into robust services, collaborating with engineering colleagues to meet non-functional requirements
Create ML pipelines and automate lifecycle workflows using team tooling and standards
Assist with monitoring, optimisation, escalating risks and issues where appropriate
Build AI-enabled services and APIs using .NET/C#, Python, Azure Functions, and REST under guidance on patterns and quality

What we offer

Mentorship from Senior AI colleagues
Support in architecture and governance
Opportunity to deepen Azure AI / Copilot / ML expertise
Referral bonus for each successful appointment

Fulltime

Senior AI / ML Engineer

We are seeking an experienced Senior ML to join our team and engage in a diverse...

Location

United Kingdom , London

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

Be a UK sole national
Have held no other nationality at any time
Have continuously resided in the United Kingdom for the past five years
Be able to obtain and maintain full UK security clearance in accordance with government vetting standards
Provide satisfactory evidence of identity, nationality, and residency as part of the clearance process
Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit-learn
perform robust validation and error analysis
Experience containerising and deploying models (e.g., Docker), implement CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP as appropriate
Strong engineering skills in Python (typing, testing, packaging)
experience with version control (Git) and code review workflows

Job Responsibility

Designing, building, testing, and deploying machine-learning systems, applying robust software engineering practices and an in-depth understanding of model behaviour, performance, and limitations
Selecting and preparing data pipelines for model training and inference
Implementing, training, evaluating, and optimising machine-learning models, continually improving them through iterative experimentation and additional data
Creating scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring
Applying standardised engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations
Evaluating data integrity and suitability for ML workflows, and advising on transformations, feature representation, and schemas needed for efficient training and inference
Applying engineering-focused data modelling and system design techniques to create, modify, or maintain ML-relevant data structures, feature stores, and associated components
Supporting alignment of data structures, model interfaces, and infrastructure components to ensure efficient and scalable ML system operation

What we offer

Private Medical (family coverage)
Enhanced Pension
18 weeks enhanced maternity pay (after a qualifying period of 1 year)
Family friendly policies
Committed to an inclusive culture
Wellbeing Fund – an annual fund for personal hobbies or interests
26 Days Annual Leave (plus bank holidays)
Holiday Trading
Retail Vouchers
Professional Subscriptions

Fulltime

Senior AI ML Engineer

We are seeking a highly skilled and experienced Assistant Vice President (AVP), ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field
Minimum of 6+ years of professional experience in Data Science, Machine Learning Engineering, or a similar role, with a strong track record of deploying ML models to production
Proven experience in a lead or senior technical role
Expert-level proficiency in Python programming, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong hands-on experience designing, developing, and deploying RESTful APIs using FastAPI
Solid understanding and practical experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for MLOps
Experience with MLOps platforms, model monitoring, and model versioning
Experience with at least one major cloud provider (e.g., AWS, Azure, GCP) for deploying and managing ML workloads
Proficiency in SQL and experience working with relational and/or NoSQL databases
Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques

Job Responsibility

Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems, from initial data exploration and feature engineering to model training and evaluation
Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance
Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems
Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency
Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment
Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions
Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control
Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team
Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders

Fulltime

AI&ML Engineer

Experience to design, develop, and deploy machine learning models and AI-driven ...

Location

India , Bengaluru

Salary:

Not provided

Nichi-In Software Solutions Pvt. Ltd.

Expiration Date

Until further notice

Requirements

Experience: 3 to 5 Years in AI/ML development and deployment
Qualification: B.E in Computer Science or any degree with Artificial Intelligence & Data Science
Strong programming skills in Python
Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, or Keras
Experience with NLP, Computer vision, or reinforcement learning
Proficiency in data processing libraries like Pandas and NumPy
Hands-on experience with cloud-based AI/ML services (AWS SageMaker, Google Vertex AI, Azure ML, etc.)
Understanding of MLOps principles, model deployment, and monitoring
Strong problem-solving skills and ability to work in an agile development environment
Excellent communication and teamwork abilities

Job Responsibility

Experience in developing AI-powered applications in real-world scenarios
Design, develop, and optimize machine learning models (LLMs) for automation and predictive analytics
Implement deep learning models using TensorFlow, PyTorch, or other frameworks
Develop and integrate AI-driven solutions into existing software applications
Fine-tune and optimize models for performance and scalability
Deploy models using cloud platforms such as AWS, GCP, Azure or any other cloud
Monitor and improve model accuracy and efficiency through continuous iteration
Preprocess, analyze, and visualize large datasets to extract meaningful insights
Collaborate with cross-functional teams, including software engineers and data scientists
Work with data engineers to ensure efficient data pipelines for AI applications

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

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