ai ml developer engineer

<div>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Configure and fine-tune AI agents (Data Governance, Data Quality, Lineage, Stewardship) on the EXLdata.ai&trade; platform
  </li>
  <li>
   Apply prompt engineering techniques to optimize agent behavior, accuracy, and output quality
  </li>
  <li>
   Design and automate governance workflows and data stewardship processes using AI agent orchestration
  </li>
  <li>
   Perform current-state analysis and document metadata, data lineage, and governance processes
  </li>
  <li>
   Support configuration of governance workflows and reporting dashboards for stewards and executives
  </li>
  <li>
   Integrate AI agents with backend systems, Knowledge Graph (Neo4j), and Vector Database (Milvus)
  </li>
  <li>
   Collaborate with GCP Engineers, Solution Architects, and Data Analysts to deliver sprint objectives
  </li>
  <li>
   Participate in Agile ceremonies &mdash; daily standups, sprint demos, and retrospectives
  </li>
  <li>
   Troubleshoot agent performance, data pipeline issues, and workflow errors in the GKE environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in AI/ML development, agent configuration, or LLM-based application development
  </li>
  <li>
   Strong expertise in prompt engineering and AI workflow automation
  </li>
  <li>
   Hands-on experience with AI agent frameworks and orchestration tools
  </li>
  <li>
   Knowledge of data governance concepts: data quality, stewardship, lineage, MDM/RDM, and metadata management
  </li>
  <li>
   Familiarity with governance agents: Data Quality (DQ), Stewardship, MDM/RDM agents
  </li>
  <li>
   Experience working with REST APIs and event-driven integration
  </li>
  <li>
   Proficiency in Python for scripting, automation, and data processing
  </li>
  <li>
   Experience with CI/CD pipelines using GitHub / GitHub Actions
  </li>
  <li>
   Strong analytical skills to document and assess current-state data and governance processes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in the insurance domain (Claims, Underwriting, or Policy data)
  </li>
  <li>
   Familiarity with EXLdata.ai&trade; platform or similar agentic data intelligence platforms
  </li>
  <li>
   GCP Professional certification (ML Engineer, Data Engineer, or Cloud Developer)
  </li>
  <li>
   Experience with offshore/onshore hybrid Agile delivery models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 The following tools are part of the EXLdata.ai&trade; GCP architecture. Familiarity is an advantage &mdash; not all are mandatory. Training and ramp-up support will be provided.
 <br/>
 <br/>
 <strong>
  Must-Have Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 EXLdata.ai&trade; Agents
 <br/>
 <br/>
 Data Governance, Data Quality, Data Lineage, Stewardship Workbench agents
 <br/>
 <br/>
 Vertex AI (GCP)
 <br/>
 <br/>
 Google AI/ML platform for model serving and agent inference
 <br/>
 <br/>
 BigQuery
 <br/>
 <br/>
 Managed analytics data warehouse for querying governance data
 <br/>
 <br/>
 GitHub / Git + Actions
 <br/>
 <br/>
 Source control and CI/CD for agent configuration and deployment
 <br/>
 <br/>
 Python
 <br/>
 <br/>
 Primary language for agent scripting and workflow automation
 <br/>
 <br/>
 Nginx / Orchestrator
 <br/>
 <br/>
 API gateway and agent orchestration layer within GKE
 <br/>
 <br/>
 <strong>
  Preferred &mdash; Nice To Have
  <br/>
  <br/>
 </strong>
 GKE (Google Kubernetes Engine)
 <br/>
 <br/>
 Container orchestration platform hosting EXLdata.ai&trade; agents
 <br/>
 <br/>
 Neo4j Graph Database
 <br/>
 <br/>
 Knowledge graph for entity relationships and data lineage
 <br/>
 <br/>
 Milvus Vector Database
 <br/>
 <br/>
 Vector DB for semantic search and embedding storage (open-source)
 <br/>
 <br/>
 Cloud SQL
 <br/>
 <br/>
 Managed relational DB for metadata storage
 <br/>
 <br/>
 Google Secret Manager (CSI)
 <br/>
 <br/>
 Secrets management via CSI Secret Store integration in GKE
 <br/>
 <br/>
 Google Filestore
 <br/>
 <br/>
 Persistent shared storage (RWX, CSI-backed PVC)
 <br/>
 <br/>
 Guidewire APIs / Events
 <br/>
 <br/>
 Insurance platform integration for Claims &amp; Underwriting data
 <br/>
 <br/>
 Okta
 <br/>
 <br/>
 Identity access management and access scoping via VPC rules
 <br/>
 <br/>
 Awareness Level &mdash; Environment Context
 <br/>
 <br/>
 Cloud Logging / gCloud CLI
 <br/>
 <br/>
 Operational logging and CLI access for environment support
 <br/>
 <br/>
 IAM (Identity &amp; Access Mgmt)
 <br/>
 <br/>
 GCP role-based access control and service account management
 <br/>
 <br/>
 Cloud KMS / Secrets Manager
 <br/>
 <br/>
 Key management and secret storage for secure deployments
 <br/>
 <br/>
 Artifact Registry
 <br/>
 <br/>
 Container image registry for agent Docker images
 <br/>
 <br/>
 Cloud DNS
 <br/>
 <br/>
 DNS routing for subdomain-based service access
 <br/>
 <br/>
 Backup &amp; DR Service
 <br/>
 <br/>
 Disaster recovery and backup for platform resilience
</div>


AI / ML Developer / Engineer

Crypto Mize

<div><p>Artificial Intelligence Developer jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis. This is a full-time, permanent engineering position with immediate joining at our New Delhi HQ, building the machine-learning systems the practice&rsquo;s platforms run on. Analysts here model; researchers here explore; developers here make it real &mdash; services, pipelines and inference infrastructure that survive production traffic across the nine-platform stack. You will build high-performance ML applications and the data infrastructure beneath them, from feature stores to serving layers, with the uptime that client engagements demand. The complete job description &mdash; responsibilities, requirements, seniority path and selection process &mdash; follows.</p>
<div>
 <div><div><div>LOCATION New Delhi (HQ)
 </div><div>EMPLOYMENT Full-time &middot; Permanent
 </div><div>AVAILABILITY Immediate &middot; Rolling intake
 </div><div>COMPENSATION Discussed at screening
</div></div></div></div><div><div><div><div>TRACKS ON THIS DESK26
</div><div>CRAFT SKILLS NAMED11
</div><div>TOOLS &amp; SYSTEMS5
</div><div>PATH STAGES4</div></div></div></div></div>
<br>01
01The actual work
What will you actually do as a Artificial Intelligence Developer at CryptoMize?
01
Build and operate production ML services &mdash; training pipelines, inference APIs and monitoring &mdash; on the practice&rsquo;s platform stack
02
Engineer the data infrastructure: ingestion from platform corpora, feature stores, versioned training sets
03
Take validated models from notebook to service: containerized, tested, observable, and honest about drift
04
Optimize for the real constraints &mdash; latency, GPU cost, throughput on streaming media and sentiment workloads
05
Build simulation and what-if tooling that lets strategists interrogate model behavior before it ships
06
Keep the ML platform operable: reproducible environments, model registries, rollback paths
07
Collaborate with analysts on model handoff and with platform teams on integration contracts
ROLE RESPONSIBILITIES
As an Artificial Intelligence Developer you will build high-performance machine-learning applications and the supporting infrastructure &mdash; platforms, pipelines and simulation solutions &mdash; that the practice&rsquo;s intelligence products run on. The measure is production: services that survive traffic, models that ship, and systems colleagues can operate without paging you.
You will develop across Linux and cloud environments, work with GPU-class hardware where the workloads demand it, and apply distributed-computing tools as datasets outgrow single machines. Data management is part of the craft: mining and analysis methods, model building, algorithms and simulations maintained as living, versioned assets.
Collaboration runs both ways &mdash; receiving validated models from analysts with clean handoff contracts, and integrating with platform teams on interfaces that hold. Client data flowing through your systems is confidential without exception.
02
02Capability profile
What skills and tools does a Artificial Intelligence Developer need?
astro-island,astro-slot,astro-static-slot{display:contents}
Craft skills11 Tools &amp; systems5 Offer standards4
Production Python &mdash; typed, tested, reviewable servicesML engineering: training pipelines, batch and streaming inference, model versioningPyTorch/TensorFlow serving &mdash; optimization and quantization for real constraintsData engineering &mdash; ingestion, feature stores, dataset versioningContainerization and orchestration (Docker, Kubernetes basics)Linux development discipline and cloud environments (AWS-class)GPU hardware literacy &mdash; profiling and cost-aware workload placementAPI design (REST) and NoSQL/RDBMS schema judgmentObservability &mdash; logging, metrics and drift monitoring for live modelsCode review and Git-based team workflowDiscretion with client data flowing through systems you build (NDA-grade)
Python 3.11 (PyTorch, FastAPI)Docker + KubernetesPostgreSQL and Redis-class storesAWS or equivalent cloud (EC2/SageMaker-class)MLflow-class registry and tracking
Depth of demonstrated skill in the specific role disciplineClassification and scope of the client engagement the role supportsUrgency and time-sensitivity of active project requirementsTrack record built across CryptoMize engagements
Also known as: ai developer jobs &middot; machine learning engineer &middot; artificial intelligence engineer &middot; ml developer
03
03Seniority ladder
Artificial Intelligence Developer &mdash; seniority path at CryptoMize
Engineering careers advance on what stays up: systems that survive production, models that ship, and infrastructure colleagues trust.
Artificial Intelligence Developer
Owns services and pipelines for one to two platform workstreams with senior review.
1/4
Senior Artificial Intelligence Developer
Designs ML system architecture, leads production standards, and mentors junior engineers.
2/4
AI Engineering Lead
Runs the engineering side of the platform &mdash; architecture, reliability and the developer bench.
3/4
AI Practice Principal
The apex: owns the practice&rsquo;s AI capability end-to-end &mdash; research direction, production systems and delivery.
4/4
04
04The engagement surface
CryptoMize work a Artificial Intelligence Developer touches
Every role plugs into live engagements across the five Penta-P domains &mdash; these are the services your work feeds.
Artificial Intelligence Developer &middot; Job Opening
This seat plugs into 7 live CryptoMize services across the five Penta-P domains &mdash; the work below is where yours lands.
7 SERVICESPENTA-P
 AI Governance
 Predictive Intelligence
 Big Data Mining
 Data Security
 Cybersecurity
 IT Consultancy
 Intelligence
WHAT DOES ARTIFICIAL INTELLIGENCE DEVELOPER COMPENSATION DEPEND ON?
Compensation is discussed during screening &mdash; never a fixed public figure, because it varies per person and per engagement. It depends on:
# OFFER CONSTRUCTION FACTOR
01 Depth of demonstrated skill in the specific role discipline
02 Classification and scope of the client engagement the role supports
03 Urgency and time-sensitivity of active project requirements
04 Track record built across CryptoMize engagements

Artificial Intelligence Developer

Nagarro

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Must have Skills : Python (Strong), Model Packaging &amp; Deployment (Strong), RAG Workflow (Strong), Prompt Engineering with LLMs (Strong)
 <br/>
 <br/>
 Good To Have Skills : Vector Databases and Embeddings (Capable)
 <br/>
 <br/>
 Job description: Generative AI developer (experience 1 to 2 years) Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems). Focus on hands-on implementation, integration, and learning-by-delivery, under guidance.
 <br/>
 <br/>
 Must Have: 1. Strong foundation in Python (data handling, APIs, scripts) 2. Understanding of APIs, Docker, or deployment workflows 3. Exposure to deploying ML/AI models (even in projects/internships) 4. Understanding of embeddings, retrieval flow 5. Hands-on exposure through projects 6. Experience working with GPT/Llama APIs 7. Ability to structure prompts and evaluate outputs 8. Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects. 9. . ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.
 <br/>
 <br/>
 Core Responsibilities (Execution Under Guidance) 1. Assist in building RAG-based GenAI solutions for enterprise use cases. 2. Develop Python-based services/APIs integrating LLMs. 3. Support data preprocessing, embeddings, and retrieval pipelines. 4. Contribute to model deployment and integration tasks. 5. Debug and improve existing pipelines under supervision. 6. Work closely with senior engineers to understand production constraints (latency, cost, accuracy)
 <br/>
 <br/>
 Good to Have 1. LangChain / LlamaIndex exposure 2. Cloud basics (Azure / AWS / GCP) 3. Basic understanding of CI/CD or MLOps concepts 4. Internship/project experience in GenAI or ML use cases Experience &amp; Qualification 1. Bachelor's in Computer Science / Data Science or related field. 2. 12 years of experience in AI/ML (including internships and project work). 3. Exposure to at least one end-to-end ML/GenAI project (academic and professional).
</div>


GENERATIVE-AI ENGINEER (OMANI NATIONAL)

Accenture in India

<div>
 <strong>
  Project Role :
 </strong>
 AI / ML Engineer
 <br/>
 <br/>
 <strong>
  Project Role Description :
 </strong>
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 <br/>
 <br/>
 <strong>
  Must have skills :
 </strong>
 Microsoft Azure AI foundry
 <br/>
 <br/>
 <strong>
  Good to have skills :
 </strong>
 Microsoft Azure OpenAI Service, Microsoft Azure Machine Learning
 <br/>
 <br/>
 <strong>
  Minimum 3 Year(s) Of Experience Is Required
  <br/>
  <br/>
 </strong>
 <strong>
  Educational Qualification :
 </strong>
 15 years full time education
 <br/>
 <br/>
 Summary:
 <br/>
 <br/>
 As an Azure AI Engineer, you will engage in the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. You will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsoft s AI ecosystem.
 <br/>
 <br/>
 Roles &amp; Responsibilities:
 <br/>
 <br/>
 Serve as the developer for Microsoft Azure AI Foundry and Agentic AI .
 <br/>
 <br/>
 Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry.
 <br/>
 <br/>
 Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption.
 <br/>
 <br/>
 Ensure AI workloads meet enterprise security, compliance, and governance requirements.
 <br/>
 <br/>
 Ensuring accountability and high-quality delivery.
 <br/>
 <br/>
 Provide scalable solutions for multi-team AI initiatives across the enterprise.
 <br/>
 <br/>
 Monitor solution performance, optimize pipelines, and align outcomes with business goals.
 <br/>
 <br/>
 Professional &amp; Technical Skills:
 <br/>
 <br/>
 Proven expertise in Microsoft Azure AI Foundry and Agentic AI (minimum 3 years hands-on experience in Azure AI/ML technologies)
 <br/>
 <br/>
 Strong understanding of AI governance, observability, and compliance frameworks.
 <br/>
 <br/>
 Experience designing and deploying AI pipelines on Microsoft Azure.
 <br/>
 <br/>
 Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.).
 <br/>
 <br/>
 Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency.
 <br/>
 <br/>
 Familiarity with regulatory requirements for enterprise AI adoption.
 <br/>
 <br/>
 Additional Information:
 <br/>
 <br/>
 The candidate should have minimum 3 years of experience in Azure AI/ML technologies.
 <br/>
 <br/>
 A 15 years full time education is required.
</div>


AI / ML Engineer

KUMARAN SYSTEMS

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><li>Department Name Banking
</li><li>Date Opened 08/25/2026
</li><li>Industry IT Services
</li><li>Job Type Full time
</li><li>Skills Python Backend Developer
</li><li>Work Experience 4-5 years
</li><li>Required Skills
<ul><li>python programming
</li><li>sql
</li><li>+11
</li></ul></li><li>City Chennai
</li><li>State/Province Tamil Nadu
</li><li>Country India
</li><li>Zip/Postal Code 600032
</li></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what&rsquo;s possible.</div><div></div><div><br>
Why Kumaran?<br>
<br>
</div><div></div><br>
<div>We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don&rsquo;t just solve problems, we engineer future-ready transformations.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><h2 class="jobSectionHeader"><b>Role Summary</b></h2><p><br>
Seeking a Python/AI Developer with 3+ years of hands-on experience to build data-driven applications, RESTful APIs, and ML/LLM solutions. The role combines strong Python engineering (Pandas/NumPy, SQL, Flask) with practical experience in ML frameworks (e.g., PyTorch) and GenAI/LLM tooling (GPT, Llama2, Gemini). You will design, implement, and deploy robust, scalable services and models, collaborating with cross-functional teams to deliver production-grade AI features.</p><h3 class="jobSectionHeader"><b><br>
Responsibilities</b><br>
</h3><ul><li>
Design and develop robust Python services and RESTful APIs using Flask.<br>
</li><li>
Build data processing pipelines and analytics workflows using Pandas and NumPy.<br>
</li><li>
Implement, train, and optimize ML models (preferably with PyTorch); integrate models into production.<br>
</li><li>
Apply GenAI/LLM techniques (GPT, Llama2, Gemini, etc.) for real-world use cases; evaluate outputs and iterate.<br>
</li><li>
Write efficient SQL for Oracle/MySQL/PostgreSQL; optimize queries and schemas for performance.<br>
</li><li>
Ensure code quality with testing (e.g., pytest), logging, and CI-friendly structures.<br>
</li><li>
Collaborate with product/data teams to translate requirements into scalable solutions.<br>
</li></ul><h3 class="jobSectionHeader"><b>
Must-Have Skills</b><br>
</h3><ul><li>
Strong Python programming and scripting fundamentals.<br>
</li><li>
Data manipulation with Pandas and numerical computing with NumPy.<br>
</li><li>
SQL proficiency with at least one RDBMS: Oracle, MySQL, or PostgreSQL.<br>
</li><li>
REST API design and development experience with Flask.<br>
</li><li>
Practical experience with ML libraries, preferably PyTorch.<br>
</li><li>
Hands-on work with GenAI/LLMs (e.g., GPT, Llama2, Gemini), including prompt engineering and integration.</li></ul><br>
<div></div>
</div><div>Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.</div></div></div><p></p>

Python AI Developer

Salford Council

<div><div><div><p><b>AI-First Digital Transformation at Salford City Council</b></p><p>
Salford City Council is on a mission to harness the power of AI and data to reimagine public services for the future. As part of our newly formed AI team, you&rsquo;ll support the design, development and deployment of intelligent solutions that improve the lives of residents and create a fairer, greener, and healthier Salford.</p><p>
This is an exciting opportunity for an experienced engineer or developer to build and integrate AI/ML technology with meaningful results, while working in a supportive team. You will work closely with the Senior AI/ML Engineer and wider digital teams to turn innovative ideas into working solutions using Microsoft Azure as our core platform.</p><p>
You&rsquo;ll contribute across the AI/ML lifecycle, preparing data, building and deploying models, and integrating solutions into council systems. Your previous experience with development and delivery in enterprise and cloud platforms will be invaluable, as will your problem solving and collaboration skills, in addressing challenges and opportunities. In this role, you&rsquo;ll build your skills in AI/ML engineering, Azure cloud services and other toolchains, and responsible AI practices and ethics.</p><p>
If you&rsquo;re passionate about the next wave of digital transformation and want to become an expert in emerging AI technology, want to apply your development expertise to solve real-world challenges and want to see your work make a tangible impact on society, this role is for you.</p><p><b>
Key Outcomes</b></p><p><b>
AI Solution Design &amp; Delivery</b></p><ul><li>
Design, develop and deploy AI/ML solutions within Azure Machine Learning and Azure AI Foundry, integrating with other platforms and applications.</li><li>
Assist with model training, evaluation, and deployment, applying established frameworks and tools.</li><li>
Support the creation of pipelines for data preparation, model testing, and monitoring.</li></ul><p><b>
AI Platform &amp; Toolchain</b></p><ul><li>
Support establishment of the council&rsquo;s target architecture and AI development toolchain, with an initial focus on Azure AI Foundry, Azure Integration Services, and Azure ML pipelines.</li><li>
Employ MLOps practices (CI/CD, model versioning, retraining pipelines) aligned with Azure-native tooling.</li><li>
Support evaluation and experimentation with open-source frameworks (LangChain, LlamaIndex, PyTorch, Hugging Face) and other platforms (AWS SageMaker, OCI Data Science) where relevant.</li></ul><p><b>
Cross-functional Collaboration</b></p><ul><li>
Work closely with the Senior AI/ML Engineer, architects, and service teams to understand requirements and translate them into working solutions.</li><li>
Communicate progress clearly, escalating challenges where needed.</li><li>
Share knowledge with peers and take part in internal learning activities.</li></ul><p><b>
Governance, Security &amp; Compliance</b></p><ul><li>
Support development of policies for data governance, security, and responsible AI use.</li><li>
Support the documentation of AI solutions, ensuring transparency and reproducibility.</li><li>
Contribute to testing and monitoring for data quality, accuracy, and bias.</li></ul><p><b>
Innovation &amp; Continuous Improvement</b></p><ul><li>
Stay current with emerging AI research, frameworks, and platform feature releases.</li><li>
Take part in proofs of concept to evaluate new approaches, frameworks, and models.</li><li>
Contribute to building an internal culture of innovation, sharing knowledge and best practices across the organisation.</li></ul><p><b>
Cost Management &amp; Financial Governance</b></p><ul><li>
Evaluate technology and platform options during discovery phases, producing cost-benefit analyses that inform investment decisions including justifying higher-cost solutions where the strategic or operational benefit is demonstrable.</li><li>
Take ownership of cost optimisation across deployed applications, cloud infrastructure and AI/ML resources, proactively identifying inefficiencies and implementing improvements.</li><li>
Monitor and report on Azure consumption and cloud resource expenditure on a regular basis, providing spend visibility to the Senior AI/ML Engineer and Digital leadership.</li><li>
Contribute to budget planning cycles for AI/ML tooling, licensing and infrastructure, providing spend forecasts based on usage projections and architectural decisions.</li></ul><p><b>
Requirements What we need from you</b></p><p><b>
Essential</b></p><ul><li>
Proven experience designing, developing, and deploying solutions in production environments.</li><li>
Strong familiarity with Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow).</li><li>
Exposure to working in structured, cloud-native delivery environments (e.g. Salesforce, ServiceNow, UiPath, Azure, MS Power Platform, or equivalent) with an understanding of solution lifecycle management.</li><li>
Awareness of data structures, databases, and basic analytics (SQL or equivalent).</li><li>
Ability to communicate technical concepts clearly to both technical and non-technical audiences.</li></ul><p><b>
Desirable</b></p><ul><li>
Hands-on experience with Azure services (Azure Machine Learning, Azure AI Foundry, Azure Integration Services).</li><li>
Exposure to AI/ML concepts such as model training, evaluation, or deployment.</li><li>
Knowledge of MLOps concepts or tooling (MLflow, Airflow, CI/CD pipelines).</li><li>
Experience with data visualisation or reporting tools (Power BI, Tableau).</li><li>
Knowledge of AI ethics, explainability, or responsible AI practices.</li><li>
Solid understanding of enterprise architecture principles and solution architecture practices.</li></ul><p><b>
Approach &amp; Ways of Working</b></p><ul><li>
Curious, innovative, and eager to experiment with new approaches.</li><li>
Able to work in a lean, agile, startup-like environment, balancing delivery with exploration.</li><li>
Collaborative mindset with strong influencing and facilitation skills.</li><li>
Passion for public sector innovation and a commitment to improving outcomes for citizens.</li><li>
Commitment to developing new skills and contributing to team success.</li><li>
Strong troubleshooting, analytical and design skills.</li><li>
Operates with a high degree of autonomy in ambiguous and pioneering environments where established procedures do not exist, exercising professional judgement to define approaches, set technical standards and determine appropriate courses of action.</li><li>
Takes the initiative in identifying emerging technologies, risks and opportunities, proactively bringing recommendations forward without being directed to do so.</li></ul><p><b>
Qualifications</b></p><ul><li>
Degree, apprenticeship, or equivalent experience in Computer Science, Information Systems, or related discipline.</li><li>
Microsoft certifications (e.g. Azure Fundamentals, Azure AI Fundamentals, Power Platform Developer Associate) are desirable.</li><li>
Evidence of continuous learning, either through formal study, online training, or project work.</li></ul></div></div><div><div><p><b>
What we need from you if you are invited to interview:</b></p><ul><li>
Passport/ID - You will be required to provide original documentation confirming your right to work in the UK. Successful candidates will also be required to provide proof of address.</li><li>
Qualifications/registrations if applicable for the role.</li><li>
Unfortunately, we are unable to offer a sponsorship for this position at the moment.</li></ul><p><b>
Want to know more about Salford?</b><br>
As an authority we are dedicated to improving the lives of our residents, and as an employer we are passionate about helping individuals to thrive in their work. We are committed to developing a diverse and inclusive culture and are proud of our professional accreditations which champion this.</p><p>
Find out about our city as a place to live, work &amp; grow, and learn more about the amazing work we are doing. You&rsquo;ll also find out about the wealth of benefits we have to offer you on our Salford pages!</p><p><b>
Continuous Service commitment</b><br>
New employees can keep their service related benefits when moving between a whole host of public sector organisations within Greater Manchester, which include: Councils, NHS, Greater Manchester Fire and Rescue, Transport for Greater Manchester, as well as many others under this scheme. Find out if this applies to you on our Continuous Service page..</p><p><b>
Guaranteed Assessment Schemes</b><br>
We have made a commitment to improve the employment opportunities for people with disabilities, care leavers, carers, and ex-military personnel by way of a Guaranteed Assessment Scheme. Our application forms ask you to indicate if you meet any of the criteria within this scheme, and so to find out more and if you qualify please visit our Guaranteed Assessment Scheme page..</p><p><b>
Privacy Statement and Data Protection</b><br>
Our core data protection obligations and commitments are set out in the council&rsquo;s primary Recruitment and Employment Privacy Notice which can be found at https://www.salford.gov.uk/gdpr .</p></div></div></div>

Senior AI/ML Engineer

ECPI University

<div><p><b>Compensation: $1,499 &ndash; $1,801 per course section. Compensation is determined by discipline, credential level, and course type. Ranges reflect good faith estimates based on current pay practices.</b></p>
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This position is based at our Virginia Beach, VA campus location</b></p>
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<div><b>Overview</b></div>
<div>ECPI University is seeking a Software Development Faculty Member with deep expertise in AI-augmented development practices to serve as a Subject Matter Expert (SME). This role leads the integration of AI tools, responsible development principles, and modern software engineering practices across the undergraduate software development curriculum &mdash; with a particular focus on preparing students who are new to coding to work productively and ethically alongside AI systems from day one of their careers.</div>
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<div><b>Key Responsibilities</b></div>
<ul><li>Serve as institutional SME for AI-augmented software development, guiding curriculum design across the full undergraduate software development program</li>
<li>Design, develop, and refine curriculum covering AI-assisted coding, LLM-based application development, prompt engineering, AI-augmented architecture and design thinking, and responsible/ethical AI development practices</li>
<li>Teach courses at the intersection of software development and artificial intelligence, using real-world tools, scaffolded projects, and industry-aligned case studies accessible to students with no prior coding experience</li>
<li>Model professional AI-augmented development workflows in the classroom &mdash; including AI coding assistants (e.g., GitHub Copilot, Kilo Code), LLM API integration, and prompt-driven design and documentation practices</li>
<li>Incorporate secure coding principles (OWASP Top 10, CWE) into AI-augmented development instruction, helping students understand how AI tools can both introduce and help mitigate software vulnerabilities</li>
<li>Mentor faculty colleagues in adopting AI-augmented pedagogical strategies and tools across software development courses</li>
<li>Collaborate with academic leadership to ensure curriculum reflects current industry expectations for AI-literate software developers</li>
<li>Stay continuously current with advancements in generative AI, agentic coding tools, LLM frameworks, and their evolving roles in professional software development</li>
</ul><div><b>Qualifications</b></div>
<div>Education</div>
<ul><li>Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field OR</li>
<li>Master's degree with 18+ graduate semester hours in the discipline</li>
<li>Ph.D. strongly preferred, particularly with research or applied focus in AI, software engineering, or human-computer interaction</li>
</ul><div>Experience</div>
<ul><li>Demonstrated hands-on expertise in AI-augmented software development (e.g., AI-assisted coding workflows, LLM API development, prompt engineering, agentic development tools)</li>
<li>3&ndash;5 years of relevant industry experience (10+ years preferred), with direct exposure to AI-integrated development environments</li>
<li>Experience designing or delivering curriculum, training, or professional development for beginner-to-intermediate learners</li>
<li>Teaching or mentoring experience preferred, particularly with students new to programming</li>
</ul><div>Technical Skills</div>
<div>Required:</div>
<ul><li>AI-assisted coding tools and workflows (GitHub Copilot, Kilo Code, Cursor, or equivalent)</li>
<li>LLM concepts and application development using LLM APIs (OpenAI, Anthropic, or equivalent)</li>
<li>Prompt engineering principles and patterns for software development contexts</li>
<li>Core software development fundamentals: OOP, data structures, version control, debugging</li>
<li>Secure coding awareness: OWASP Top 10, CWE, AI-introduced vulnerability patterns</li>
</ul><div>Preferred:</div>
<ul><li>Agentic AI frameworks (LangChain, AutoGen, or equivalent)</li>
<li>Cloud AI/ML development services (AWS Bedrock, Azure OpenAI, Google Vertex AI)</li>
<li>AI ethics frameworks and responsible development practices</li>
<li>Full-stack web development with AI integration</li>
<li>AI-augmented architecture and design thinking methodologies</li>
</ul><div>Certifications (Preferred)</div>
<ul><li>GitHub Copilot or GitHub Foundations certification</li>
<li>AWS Certified Developer / Azure Developer Associate</li>
<li>Azure AI Engineer or AWS ML Specialty</li>
<li>Google Professional ML Engineer</li>
<li>Any recognized LLM/generative AI development credential</li>
<li>Certified Scrum Master (CSM) or SAFe Agile practitioner</li>
</ul><div><b>Skills &amp; Abilities</b></div>
<ul><li>Deep expertise in AI-augmented development with ability to scaffold complex concepts for students encountering programming for the first time</li>
<li>Strong curriculum development skills with experience mapping AI competencies to industry frameworks (e.g., NICE Workforce Framework, ACM/IEEE Computing Curricula)</li>
<li>Ability to model professional-grade AI workflows in accessible, confidence-building ways for novice learners</li>
<li>Commitment to responsible AI development &mdash; able to teach both the power and the ethical responsibilities of AI-assisted software creation</li>
<li>Excellent collaboration, communication, and organizational skills</li>
<li>Passion for innovation, instructional excellence, and preparing students for the AI-augmented workforce</li>
</ul><div><b>Benefits</b></div>
<div>ECPI University offers a comprehensive benefits package supporting employee well-being and professional growth.</div>
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<div><b>Equal Opportunity Employer</b></div>
<div>ECPI University is an Equal Opportunity Employer. We value diversity and inclusion in our workplace.</div>
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Equal Opportunity Employer<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</p></div>

AI-Augmented Software Development Faculty / Subject Matter Expert (SME)

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