ai data engineer

NiCE

<div><div>At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.</div>

So, what's the role all about?

As a NiCE AI Data Engineer you are responsible for supporting the use of the NiCE Interaction Analytics (NIA) product suite to prove out business use cases as part of Proofs of Concepts (POCs). The POC is used to support the NiCE sales efforts to demonstrate the value of the NIA product suite. In this capacity, you will work with the NiCE sales team to obtain unstructured Customer Experience (CX) interactions (audio, chats, emails, social media, etc.) from customers and transform the interactions into a format that can be processed by the NIA product suite. You will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions. You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team's objectives.

AI Data Engineers are experts in the value derived from unstructured CX interactions. It is that expertise, along with technical fluency, that allow the Business Consulting team to build scalable, out of the box data structures that reveal operational and measurable outcomes. The responsibilities for this role includes the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for each POC.

The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities. As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions. As they gain and maintain system and data expertise, the roll will continue to open up for direct client interactions, feedback capture and build plans.

How will you make an impact?
<ul>
<li>Serve as the focal point for managing the delivery of CX interactions and corresponding metadata utilizing various data delivery methods.</li>
<li>Serve as the focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.). This includes:
<ul><li>Manipulation of CX interaction metadate into approved formats</li>
<li>Manipulation of CX interactions into the NiCE Interaction Analytics platform</li>
<li>Manipulation of CX transcripts</li>
</ul></li><li>Utilize evolving tools from Research that support the development of the data structures.</li>
<li>Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products.</li>
<li>Work with client requirements to understand new requests and how we can or cannot meet them.</li>
<li>Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices.</li>
<li>Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc.</li>
<li>Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets.</li>
<li>As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions.</li>
<li>Manage the utilization of the CX Proof of Concept (POC) VM servers.</li>
</ul>
Have you got what it takes?
<ul>
<li>3+ years of software engineering experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider</li>
<li>Experience using Windows Server</li>
<li>Experience with basic scripting in PowerShell, Command Line, or Python</li>
<li>Knowledge of SQL preferred, such as using Data Manipulation Language and Data Definition Language</li>
<li>Familiarity with Linux</li>
<li>Familiarity with ssh and basic bash skills</li>
<li>Experience with Docker, accessing AWS S3 buckets, and SFTP</li>
<li>Experience with use of technology to build and analyze datasets for operational outcomes</li>
<li>Excellent oral and written communication skills in English</li>
<li>Ability to multi-task and meet deadlines when supporting requests that create competing priorities</li>
<li>Ability to develop and maintain good working relationships with cross-functional teams</li>
<li>Ability to communicate comfortably across all levels of corporate structure</li>
<li>Demonstrated ability to take the initiative and work in a self-directed manner</li>
<li>Ability to thrive in a changing environment</li>
</ul>
What's in it for you?

Join an ever-growing, market disrupting, global company where the teams &ndash; comprised of the best of the best &ndash; work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Requisition ID: 10299 
Reporting into: Vice President of Solution Sales 
Role Type: Individual Contributor
<div>
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

AI Data Engineer

Kenai Defense

Applied AI Data EngineerWe are a small, mission-focused U.S. defense contractor building advanced analytical capabilities that combine AI, automation, and data-driven decision support. This role is for an Applied AI Data Engineer who can turn ambiguous questions into defensible data assets, modeling workflows, and repeatable evaluation methods. You will work closely with leadership and staff to help translate research-grade ideas into reliable capabilities.Responsibilities<ul><li>Design and build data pipelines that ingest, clean, normalize, and structure heterogeneous data for downstream modeling and analytical workflows.</li><li>Develop reusable datasets, features, labels, and representations from both structured and unstructured sources.</li><li>Create and refine methods for segmentation, cohorting, calibration, and scenario-based model evaluation.</li><li>Apply machine learning, NLP, retrieval, embeddings, and related methods to extract signal from noisy real-world data.</li><li>Design benchmarks and validation procedures that measure accuracy, stability, uncertainty, bias, and performance across cohorts and scenarios.</li><li>Prototype simulation-oriented or predictive modeling approaches and iterate based on quantitative results and error analysis.</li><li>Document assumptions, experiment design, data lineage, and model limitations clearly for technical and non-technical stakeholders.</li><li>Operationalize research and modeling outputs into secure, maintainable internal tools.</li></ul>Core Qualifications<ul><li>U.S. citizenship required.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in computer science, data science, applied mathematics, statistics, engineering, or a closely related field.</li><li>Strong Python skills and sound software engineering habits.</li><li>Hands-on experience with applied machine learning, data science, NLP, information retrieval, or model evaluation work.</li><li>Experience using Python-based tools such as Pandas, PyTorch, PostgreSQL, Hugging Face, sentence transformers, or similar technologies.</li><li>Ability to work with incomplete, messy, or high-variance datasets and turn them into reliable inputs for analysis and model training.</li><li>Experience designing experiments and evaluation plans, then iterating from measured results.</li><li>Comfort working in Docker- and Git-based development environments and collaborating closely with engineers building production systems.</li><li>Strong written communication, attention to detail, and the ability to operate with autonomy in a lean team.</li></ul>Preferred Background<ul><li>Experience with modeling, simulation, probabilistic methods, forecasting, or other techniques for studying complex systems.</li><li>Experience integrating demographic, geographic, survey, event, economic, or other population-scale datasets into analytical workflows.</li><li>Familiarity with retrieval systems, vector databases, semantic search, graph-based retrieval, or graph/RAG experimentation.</li><li>Exposure to model calibration, sensitivity analysis, fairness assessment, and representativeness challenges in real-world data.</li><li>Academic, laboratory, or research experience in computer science, data science, applied statistics, computational social science, or a related quantitative field.</li></ul>To Apply:<ul><li>Send a resume to Joshua Riley, Director of Program Management at joshua@kenaidefense.com</li></ul>Job Type: Full-timePay: $70,000.00 - $120,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you a U.S. Citizen? (U.S. Citizenship is required for this position)</li><li>Do you have a criminal record</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

Applied AI Data Engineer

Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for "AI &amp; Data Engineer " with a strong foundation in data manipulation, machine learning, and natural language processing (NLP).
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 BSc in Computer Science, Engineering or relevant field.
 </li>
 <li>
 2-4 years of hands-on experience in data engineering, data architecture, or AI/ML presales.
 </li>
 <li>
 Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance
 </li>
 <li>
 Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )
 </li>
 <li>
 Familiarity with AI/ML concepts and practical applications in enterprise settings
 </li>
 <li>
 Experience creating data architecture diagrams and technical documentation
 </li>
 <li>
 Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences
 </li>
 <li>
 English and Arabic fluency
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt
 </li>
 <li>
 Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)
 </li>
 <li>
 Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes
 </li>
 <li>
 Develop technical proposals, solution architectures, and pricing models for data and AI engagements
 </li>
 <li>
 Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns
 </li>
 <li>
 Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities
 </li>
 <li>
 Collaborate with the Product Developer to align presales demonstrations with current product capabilities
 </li>
 <li>
 Contribute to thought leadership content: whitepapers, case studies, and technical blog posts
 </li>
 <li>
 Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Company website:
 
 https://www.wind-is.com
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Apply now to drive innovation and growth with our dynamic team!
</div>

Midlevel AI & Data Engineer

The Hartford

<div>Sr Staff Data Engineer - GE07DE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
Join our team as a Sr GenAI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).<h2 class="jobSectionHeader">
Key Responsibilities:</h2>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. Stay up to date with industry advancements in AI and apply modern technologies and methodologies to our systems. Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as GCP, Vertex AI, S3, AWS Bedrock, Spark streaming, or similar. Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. Apply AI solutions to insurance-specific data use cases and challenges. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.
Required Skills &amp; Experience:<ul><li>
8+ years&rsquo; Strong hands-on experience programming skills in Python.</li><li>
7+ years of data engineering Strong hands-on experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark.</li><li>
3+ years of data engineering experience focused on supporting Generative AI technologies.</li><li>
2+ years Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.</li><li>
3+ years&rsquo; experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.</li><li>
3+ years&rsquo; Experience of vector databases and graph databases, including implementation and optimization.</li><li>
3+ years&rsquo; Experience in processing and leveraging unstructured data for GenAI applications.</li><li>
3+ years&rsquo; Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph).</li><li>
3+ years&rsquo; Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.</li></ul> 
Nice to Have:<ul><li>
Experience with prompt engineering techniques for large language models.</li><li>
Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.</li><li>
Experience in multi cloud hybrid AI solutions.</li><li>
AI Certifications Experience in P&amp;C or Employee Benefits industry Knowledge of natural language processing (NLP) and computer vision technologies.</li><li>
Contributions to open-source AI projects or research publications in the field of Generative AI.</li></ul>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

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