intelligence engineer

Brigham Young University

<div>Why Work at BYU
As the flagship higher education institution of The Church of Jesus Christ of Latter-day Saints, Brigham Young University (BYU) strives to be among the exceptional universities in the world. At BYU, we are devoted to our faith and to our students. We take an active role in the University's Mission: &quot;To assist individuals in their quest for perfection and eternal life.&rdquo; 
Our unique mission, deeply rooted in the Gospel of Jesus Christ, provides countless ways to serve and make an impact. This, along with our remarkable culture of belonging, weekly devotionals, and endless opportunities for learning and growth&mdash;all situated within a beautiful and historic campus&mdash;make it hard to imagine a more inspiring place to work.
Brigham Young University strongly prefers to hire faithful members of The Church of Jesus Christ of Latter-day Saints.
Data and Business Intelligence Engineer
We are looking for a data and business intelligence (BI) engineer to help us modernize data access and data-driven decision-making. In this position, you will design, develop, and support data and business intelligence applications. These applications include: extract, transform, and load (ETL) workflows; data warehouses and data marts; and interactive reports and dashboards. Additional duties include database design, requirements analysis, and customer consultation. Required technical skills include
What you will be doing in this position
Report &amp; Dashboard Development
<ul><li>Provide technical support to campus report developers.
</li><li>Query and modify multiple types of database systems: relational, key-value, graph, data warehouse, etc.
</li></ul>Data and Business Modeling
<ul><li>Data modeling: analyze and define database structures based on business models.
</li></ul>Data Movement and Integration
<ul><li>Optimize ETL workflows
</li></ul>Database Analysis, Documentation, &amp; Problem Resolution
<ul><li>Identify, analyze, and resolve technical problems.
</li><li>Ensure that all proposed system changes have been adequately planned and reviewed eliminating the possibility of unplanned service outages.
</li></ul>BI/Data Standards
<ul><li>Recommend/lead in creating standards for Data and BI Engineers to follow.
</li><li>Ensure compliance with technical and architectural standards.
</li></ul>What qualifies you for this role
Education and Experience
This position provides an opportunity for people of varying levels of skill. If you have a lot of education, experience, and skill, we&rsquo;ll compensate you accordingly. If you are early in your career, this could be a great opportunity for you, too. Different levels of pay are assigned by the hiring department depending on experience/education/skills and business needs.
<ul><li>Level 53: Bachelor&rsquo;s degree or four years of a combination of education and Data &amp; BI experience. ($73,000-$95,000)
</li><li>Level 54T: Bachelor&rsquo;s degree and two years of Data &amp; BI experience, or an equivalent combination of relevant education and Data &amp; BI experience required. ($88,000-$114,000)
</li><li>Level 55T: Bachelor&rsquo;s degree and five years of Data &amp; BI experience, or master&rsquo;s degree and 3 years Data &amp; BI experience, or an equivalent combination of relevant education and Data &amp; BI experience is required. ($102,000-$132,500)
</li></ul>Skills, abilities, or knowledge
Desired experience with:
<ul><li>PostgreSQL
</li><li>Oracle
</li><li>SQL
</li><li>Linux
</li><li>AWS
</li><li>Bash
</li><li>Python
</li><li>Data Build Tool (dbt)
</li><li>Informatica
</li><li>JavaScript/TypeScript
</li><li>APIs
</li><li>Go
</li><li>Terraform
</li><li>Docker
</li></ul>What we offer in return:
In addition to our competitive pay structure, this position comes with fantastic benefits , including:
<ul><li>401k. BYU automatically contributes 8% at no cost to you. Additionally, if you contribute 5%, BYU adds an additional 4% (Rehires may qualify for different retirement plans)
</li><li>Excellent work-life balance: 13 paid holidays + 22 days paid vacation + 12 sick days, accrued annually
</li><li>Employee assistance program, available to the employee and all members of their household
</li><li>Tuition benefits for employees and eligible family members
</li><li>Access to athletic facilities
</li><li>Excellent medical/dental benefits
</li><li>Short/long-term disability benefits
</li><li>Paid parental and maternity leave
</li><li>Wellness Program
</li><li>Free on-campus parking
</li><li>Free UTA passes for employees, spouses, and qualified dependents
</li><li>Discounts at the BYU Store and for many events at BYU
</li></ul>Required Documents:
All Staff positions require a resume.
Refer to the Job Posting for any additional required documents.
Members of The Church of Jesus Christ of Latter-day Saints must hold and be worthy to hold a current temple recommend.
Brigham Young University is an equal opportunity employer, including disability and protected veteran status.
Brigham Young University (BYU) is widely recognized not just for its world-class education, but for its deep commitment to inspired religious values. Gathered together in a Christ-centered atmosphere, BYU employees are a vital part of a community of belonging, where we value the experiences, perspectives, and talents of each individual. If you share in our devotion to faith and to excellence, we have a place for you here at BYU!</div>

Data and BI Engineer

FTI Defense

<div>Overview:
<div>
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.</div><div></div><div> 
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.</div>
Responsibilities:
<ul><li>Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.</li><li>
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.</li><li>
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).</li><li>
Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).</li><li>
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.</li><li>
Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).</li><li>
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.</li><li>
Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.</li><li>
Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.</li><li>
Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.</li></ul>
Education/Qualifications:
<div>
Minimum Requirements:</div><ul><li>
Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.</li><li>
6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.</li><li>
Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.</li><li>
Strong Python development skills with hands-on experience building AI/ML solutions.</li><li>
Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.</li><li>
Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.</li><li>
Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).</li><li>
Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.</li><li>
Professional experience integrating AI capabilities into production systems or mission applications.</li></ul><div>
 Preferred Qualifications:</div><ul><li>
Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.</li><li>
Understanding of prompt engineering, retrieval quality, and grounding methods.</li><li>
Exposure to GPU-based or edge inference environments.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical field.</li><li>
Active Secret clearance preferred; ability to obtain one is required.</li></ul><div></div><div> 
#LI-KM1</div><div>
#LI-Remote</div></div>

AI/ML Engineer

TEEMA

<div>Senior Software Engineer &ndash; Data Intelligence
We are seeking a Senior Software Engineer to lead the design and development of scalable, cloud-based data intelligence solutions. This role is ideal for a seasoned engineer who thrives in building modern applications using Microsoft Azure and enjoys working across architecture, development, and performance optimization.
What You&rsquo;ll Do<ul><li>
Design, develop, and maintain high-performance web applications using C#, .NET Core, and Blazor</li><li>
Build and scale APIs and microservices using TypeScript, Node.js, and Azure Functions</li><li>
Architect and optimize cloud-native solutions in Azure, ensuring security, reliability, and performance</li><li>
Develop containerized applications using Docker and Kubernetes (AKS)</li><li>
Implement and manage CI/CD pipelines using Azure DevOps</li><li>
Collaborate with cross-functional teams to define technical requirements and deliver intuitive user experiences</li><li>
Lead code reviews, troubleshoot issues, and mentor junior engineers</li></ul>
What You Bring<ul><li>
7+ years of software development experience (11+ without a degree)</li><li>
Strong expertise in C#, .NET Core, Blazor, and Microsoft Azure</li><li>
Experience with microservices architecture, RESTful APIs, and modern front-end frameworks</li><li>
Hands-on experience with Docker, Kubernetes, and Infrastructure as Code (ARM, Bicep, or Terraform)</li><li>
Solid understanding of Azure security practices (IAM, Key Vault, Managed Identities)</li><li>
Strong problem-solving skills and the ability to work both independently and collaboratively</li></ul>
Nice to Have<ul><li>
Experience with Power BI integration or Databricks</li><li>
Background in building large-scale, cloud-based data solutions</li></ul>
Why This Role 
You&rsquo;ll have the opportunity to influence architecture decisions, work with modern cloud technologies, and contribute to impactful, data-driven applications in a collaborative environment that values innovation and continuous improvement.
#Workwolf</div>

Senior Software Engineer - Data Intelligence - C2H - Onsite

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Computer Science, Business Intelligence, Project Manager, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

<div>Overview:
<div>
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.</div><div></div><div> 
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.</div>
Responsibilities:
<ul><li>Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.</li><li>
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.</li><li>
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).</li><li>
Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).</li><li>
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.</li><li>
Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).</li><li>
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.</li><li>
Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.</li><li>
Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.</li><li>
Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.</li></ul>
Education/Qualifications:
<div>
Minimum Requirements:</div><ul><li>
Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.</li><li>
6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.</li><li>
Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.</li><li>
Strong Python development skills with hands-on experience building AI/ML solutions.</li><li>
Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.</li><li>
Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.</li><li>
Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).</li><li>
Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.</li><li>
Professional experience integrating AI capabilities into production systems or mission applications.</li></ul><div>
 Preferred Qualifications:</div><ul><li>
Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.</li><li>
Understanding of prompt engineering, retrieval quality, and grounding methods.</li><li>
Exposure to GPU-based or edge inference environments.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical field.</li><li>
Active Secret clearance preferred; ability to obtain one is required.</li></ul><div></div><div> 
For this role, the compensation range for candidates is $144k-$246k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience. FTI has a location-based compensation structure; there may be a different range for candidates in other locations.</div><div></div><div> 
#LI-KM1</div><div>
#LI-Remote</div></div>

LCG Inc.

<div>Location: Rockville, MD (Onsite, 3 days per week) - No exceptions

Required Clearance: Ability to obtain Public Trust

Sponsorship: No sponsorship assistance is available for this position now or in the future.

Position Description:

LCG is seeking an AI Engineer to support our client at NIH in advancing AI-driven modernization initiatives across software development, research enablement, and enterprise operations.

This role will focus on implementing AI-assisted development capabilities, enabling codebase intelligence, accelerating modernization of legacy applications, and integrating AI into enterprise workflows. The AI Engineer will play a key role in leveraging tools such as GitHub Copilot, large language models (LLMs), and emerging AI frameworks to improve developer productivity, reduce technical debt, and enhance system understanding across a complex application portfolio.

The position will collaborate with development teams, DevSecOps engineers, and business stakeholders to identify, implement, and scale AI use cases that align with Client's modernization roadmap.

Key Responsibilities

AI-Assisted Development &amp; Engineering
<ul>
<li>Implement and operationalize AI-assisted development tools (e.g., GitHub Copilot, LLM-based assistants) across engineering teams.
</li><li>Enable full codebase understanding by indexing repositories and supporting natural language queries across legacy systems.
</li><li>Support AI-driven code refactoring, modernization, and technical debt reduction efforts across Java and .NET applications.
</li><li>Assist in legacy-to-modern transformation initiatives, including translating legacy code into modern APIs and cloud-native architectures.
</li></ul>AI Use Case Development &amp; Integration
<ul>
<li>Design and implement AI-driven solutions such as:
</li><li><ul><li>Code analysis and summarization tools
</li><li>Requirements extraction from legacy systems
</li><li>Test generation and code quality automation
</li><li>Knowledge bots leveraging enterprise data sources (ServiceNow, SharePoint, etc.)
</li></ul></li><li>Integrate AI capabilities with enterprise platforms using APIs and emerging standards (e.g., Model Context Protocol &ndash; MCP).
</li><li>Support development of AI-powered assistants for operational and research workflows.
</li></ul>AI Enablement &amp; Developer Productivity
<ul>
<li>Drive adoption of AI tools to reduce time spent on debugging, documentation, onboarding, and code reviews.
</li><li>Partner with development teams to identify bottlenecks and apply AI solutions to improve efficiency.
</li><li>Establish best practices for AI usage, including prompt engineering, validation, and responsible AI usage.
</li></ul>Data, Models, and Platform Support
<ul>
<li>Support AI/ML workloads leveraging cloud services (e.g., AWS SageMaker).
</li><li>Assist in enabling AI-driven analytics, reporting, and research workflows.
</li><li>Ensure secure handling of sensitive data in compliance with federal and NIH guidelines.
</li></ul>Training, Adoption, and Governance
<ul>
<li>Support AI literacy initiatives and role-based training for developers and business users.
</li><li>Define governance practices for AI usage, including data handling, validation, and compliance.
</li><li>Collaborate with stakeholders to identify and prioritize AI use cases across the portfolio.</li>
</ul>
Qualifications

Education

Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.

Required Experience
<ul>
<li>5+ years of experience in software engineering, data engineering, or related technical roles.
</li><li>Hands-on experience with AI/ML or Generative AI tools (e.g., OpenAI, Copilot, Claude, etc.).
</li><li>Strong programming experience in languages such as Python, Java, or .NET.
</li><li>Experience working with APIs and integrating third-party platforms.
</li><li>Familiarity with modern software development practices and SDLC.
</li></ul>Preferred Experience
<ul>
<li>Experience with AI-assisted development tools (GitHub Copilot or similar).
</li><li>Experience working with cloud-based AI/ML platforms (AWS SageMaker preferred).
</li><li>Exposure to enterprise system integrations (ServiceNow, SharePoint, Power BI, etc.).
</li><li>Experience working in federal or healthcare research environments.
</li><li>Understanding of data security, compliance, and FedRAMP environments.</li>
</ul>
Compensation and Benefits

The projected compensation range for this position is $100,000 to $130,000 per year benchmarked in the Washington, D.C. metropolitan area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience. 
 
LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.

Devoted to Fair and Inclusive Practices
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at hr@lcginc.com.

Securing Your Data

Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or system@hirebridgemail.com emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at hr@lcginc.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.</div>

AI Engineer, Senior (GenAI / AI Modernization)

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

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2555 intelligence engineer jobs Near Me

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AI Engineer, Senior (GenAI / AI Modernization)

AI/ML Engineer – Agentic AI