software engineer data visualization

Build AI

<div><h2 class="jobSectionHeader"><b>About Build AI</b></h2><p>
Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the physical labor dataset orders of magnitude faster than anyone in the world.</p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
We&rsquo;re hiring someone to make it incredibly easy to see the dataset, collection, quality, and evals. You will build the analysis and visualization layer &mdash; from capture through slices, examples, and live pipeline health &mdash; so people look at the data instead of dumping to a notebook. If someone has to wait on you for a plot, the product is not done.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Design and ship a visualization suite: data collection, processing, analysis, and UI (web and/or CLI) for the dataset and the data engine</p></li><li><p>
Make looking at examples, batches, coverage, quality, and failures fast enough that research and ops actually do it</p></li><li><p>
Build views for collection health, taxonomy coverage, and eval results, wired to live pipelines rather than one-off dashboards</p></li><li><p>
Work with Head of Dataset &amp; Quality, Evals Lead, research, and ops on what must be visible to make a decision</p></li><li><p>
Treat viz as a product: latency, defaults, shareability, and a bar for how we look at video and pose</p></li></ul><h2 class="jobSectionHeader"><b>
You may be a good fit if you have (Must-have qualifications)</b></h2><ul><li><p>
Strong software engineer with a track record of data viz, internal tools, or product UI on heavy data</p></li><li><p>
You care about making other people faster, not only about a pretty demo</p></li><li><p>
Comfortable with large media &mdash; video, pose, or similar</p></li><li><p>
Fine in a 0 1 environment where &ldquo;everything&rdquo; is still being defined</p></li></ul><h2 class="jobSectionHeader"><b>
Strong candidates may also have experience with (Nice-to-have qualifications)</b></h2><ul><li><p>
WebGL, custom renderers, or high-performance browser viz</p></li><li><p>
You have shipped internal tools that other teams live in</p></li><li><p>
Experience building analysis UIs (timelines, slice explorers, statistical summaries)</p></li><li><p>
Python plus TypeScript/React</p></li></ul><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive pay</p></li><li><p>
Medical, dental, and vision packages with generous premium coverage</p></li><li><p>
$500 per month credit for waiving medical benefits</p></li><li><p>
Housing subsidy of $2k per month for those living within walking distance of the office</p></li><li><p>
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)</p></li><li><p>
Various wellness benefits covering fitness, mental health, and more</p></li><li><p>
Daily lunch and dinner in our office</p></li><li><p>
Unlimited compute budget subject to ROI justification</p></li><li><p>
Unlimited Codex and Claude credits</p></li><li><p>
Travel</p></li></ul><h2 class="jobSectionHeader"><b>
How we're different</b></h2><p>
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.</p><p>
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.</p><p>
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai</p><p>
Compensation Range: $180K - $300K</p></div>

Software Engineer, Data Visualization

Gulf Consulting Group

<p>We are seeking a motivated and skilled Architectural Engineer to join our team. The selected candidate will assist the design team in delivering architectural and interior design solutions while ensuring project milestones are achieved within scheduled timelines.</p><p><b>Key Responsibilities</b></p><ul><li>Prepare architectural design concepts, drawings, and construction documentation.</li><li>Develop architectural and interior design proposals in accordance with project requirements.</li><li>Produce detailed architectural drafting using industry-standard software.</li><li>Create 3D models, visualizations, and high-quality renderings for design presentations.</li><li>Utilize AI-assisted rendering tools to enhance design visualization and workflow efficiency.</li><li>Coordinate with multidisciplinary teams to support project development and timely delivery.</li><li>Revise drawings and models based on technical reviews and client feedback.</li><li>Ensure compliance with applicable design standards, codes, and company procedures.</li><li>Support the Architectural Department in meeting project deadlines and upcoming invoicing milestones.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor's Degree in Architecture or Architectural Engineering.</li><li><b>2&ndash;3 years</b> of professional experience in architectural design and drafting.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li><b>Experience in:</b></li><li>Architectural Design</li><li>Interior Design</li><li>Architectural Drafting</li><li><b>Proficiency in:</b></li><li>3D Modeling/ Sketchup / Rhinoo</li><li>Architectural Rendering</li><li>AI-assisted Rendering</li><li><b>Good working knowledge of architectural software, including:</b></li><li>AutoCAD</li><li>SketchUp + Rhinoo</li><li>Other equivalent visualization software (advantageous)</li></ul><p><b>Preferred Competencies</b></p><ul><li><b>Strong attention to detail and design quality.</b></li><li>Good visualization and presentation skills.</li><li>Ability to manage multiple tasks within tight deadlines.</li><li>Effective communication and teamwork skills.</li><li>Self-motivated with a proactive approach to problem-solving.</li></ul><p>Work Location: In person</p>

Architectural Engineer

Dyson

<div>
 <strong>
  About Us
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 At Dyson, we&rsquo;re driven by a relentless pursuit of innovation&mdash;pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson&rsquo;s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.
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 You&rsquo;ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.
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  About The Role
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 </strong>
 We are looking for a specialized Senior Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale.
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  Key Responsibilities
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   Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.
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   Develop "Human-in-the-Loop" (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.
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   Quality Assurance &amp; Denoising: Implement algorithmic checks to identify and correct mislabelled or "noisy" data within existing datasets.
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   Tooling &amp; Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.
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   Model Optimization: Fine-tune "teacher" models to generate high-quality pseudo-labels for "student" models.
  </li>
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   Set up and maintain robust data preparation infrastructure&mdash;optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.
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   Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You&rsquo;ll help transform raw data into actionable insight, supporting both research and deployment.
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   Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.
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  </li>
 </ul>
 <strong>
  About you
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   At least 5+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.
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   Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).
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   Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).
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   Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).
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   Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.
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   Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.
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   Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.
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   Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).
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   Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).
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   Strong background in feature engineering, data analysis, and data visualization&mdash;comfortable using tools like Jupyter, Tableau, or Power BI.
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   Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.
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   Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.
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   Bachelor&rsquo;s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.
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 Dyson is an equal opportunity employer. We know that great minds don&rsquo;t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
</div>


Senior Data Intelligence Machine Learning Engineer

Port Translogistics Pvt Ltd

<p><b>Job Title- AI / Machine Learning Engineer</b></p><p><b>Location:</b> Basti, U.P<br/><b>Experience:</b> 2 Years.<br/><b>Company:</b> VVSPL</p><p><b>Salary:</b> Best in the Industry</p><p><b>Qualification:</b> B.tech (Computer Science)</p><p><b>Job Summary</b></p><p>We are looking for a skilled <b>AI/ML Technical Professional</b> who can design, develop, and deploy machine learning models to solve real-world business problems. The ideal candidate should be strong in data handling, model development, and translating business requirements into scalable AI solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Design, build, and deploy <b>Machine Learning &amp; AI models</b></li><li>Work on <b>data preprocessing, feature engineering, and model training</b></li><li>Develop and optimize <b>ML algorithms</b> (classification, regression, clustering, NLP, etc.)</li><li>Integrate AI/ML models with <b>backend systems and APIs</b></li><li>Monitor model performance and improve accuracy over time</li><li>Collaborate with product, software, and business teams</li><li>Stay updated with latest AI/ML trends and tools</li><li>Document models, workflows, and technical processes</li></ul><p><b>Required Skills &amp; Qualifications</b></p><p><b>Technical Skills</b></p><ul><li>Strong knowledge of <b>Python</b></li><li>Hands-on experience with <b>Machine Learning algorithms</b></li><li>Experience with <b>TensorFlow / PyTorch / Scikit-learn</b></li><li>Good understanding of <b>Data Structures &amp; Algorithms</b></li><li>Knowledge of <b>SQL / NoSQL databases</b></li><li>Experience in <b>REST APIs integration</b></li><li>Familiarity with <b>cloud platforms</b> (AWS / Azure / GCP is a plus)</li></ul><p><b>AI/ML Concepts</b></p><ul><li>Supervised &amp; Unsupervised Learning</li><li>Model evaluation &amp; optimization</li><li>NLP / Computer Vision (preferred but not mandatory)</li><li>Data analysis &amp; visualization</li></ul><p><b>Educational Qualification</b></p><ul><li><b>B.Tech / M.Tech / MCA / MSc (CS/AI/ML)</b></li></ul><p><b>Preferred Skills (Good to Have)</b></p><ul><li>Experience with <b>LLMs, Chatbots, or Generative AI</b></li><li>Knowledge of <b>MLOps tools</b></li><li>Experience in startup or product-based environment</li><li>Problem-solving mindset with business understanding</li></ul><p><b>What We Offer</b></p><ul><li>Opportunity to work on <b>real-world AI products</b></li><li>Growth-focused startup environment</li><li>Competitive salary (as per experience)</li><li>Learning &amp; up skilling opportunities</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹18,000.00 - ₹20,000.00 per month</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

AI AND ML ENGINEER

ThinkTek

<div><p><b>Data Architecture Engineer (TS/SCI Cleared)</b></p><p><b>
Who We Are:</b> ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB). We specialize in providing management and technology consulting services to support the business and technology modernization efforts of the Federal Government. ThinkTek was formed with the specific purpose of providing its clients a tailored solution around ProgramProject Management, Strategic Planning, and IT Services.</p><p><b>
Position Description:</b> ThinkTek is seeking a Senior Data Scientist to lead the development and application of advanced analytics, machine learning, and artificial intelligence solutions in support of large-scale Federal Government programs. The selected candidate will leverage extensive experience in data science, statistical modeling, and programming to deliver mission-critical insights, predictive capabilities, and decision-support tools. The ideal candidate will bring expertise in working with secure environments, large and complex datasets, and advanced data visualization techniques.</p><p><b>
Responsibilities:</b></p><ul><li>
Develop and maintain a comprehensive Data Migration Plan.</li><li>
Document current (&quot;As-Is&quot;) and future state (&quot;To-Be&quot;) conceptual, logical, and physical data models and data dictionaries.</li><li>
Map legacy data elements from disparate systems to the future state data schema.</li><li>
Draft and propose data quality rules for approval, and support cleansing efforts under direction to identify and remediate duplicate, orphaned, or corrupted records prior to migration.</li><li>
Utilize data engineering best practices to build scalable, automated transformation pipelines.</li><li>
Coordinate with stakeholders to design, engineer, and oversee the technical interfaces and data pipelines required for continuous, secure data synchronization.</li><li>
Ensure all engineered data models, pipelines, and architectures comply with relevant architectures and DoD IL5 data security protocols.</li><li>
Design and engineer the underlying data structures and optimized data models necessary for generating high-level dashboards and executive metrics.</li><li>
Serve as primary expert and liaison (internal and external) for data architecture</li></ul><p>
</p><p><b>Required Qualifications:</b></p><ul><li>
Bachelor's Degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's or PhD preferred).</li><li>
5+ years of experience in data science, advanced analytics, or related fields.</li><li>
Demonstrated expertise with Python, R, or similar programming languages.</li><li>
Strong knowledge of machine learning, AI, and statistical modeling techniques.</li><li>
Experience with SQL and working with large-scale databases.</li><li>
Proficiency in data visualization tools (Tableau, Power BI, or equivalent).</li><li>
Experience working in secure federal or DoD environments.</li><li>
Active <b>Top</b> <b>Secret Clearance with SCI eligibility</b> required.</li></ul><p><b>
Pay Range</b></p><p>
The anticipated annual salary range for this position is $150,030 &ndash; $163,020. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data, and applicable contract requirements, and may fall outside the posted range.</p><p><b><i>
ThinkTek LLC</i></b><i> is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available. You can read more about ThinkTek benefits at https://www.thinktekllc.com/careers/.</i></p></div><p></p>

Data Architecture Engineer

University of Sharjah

<div></div><div><div><div><div>CATEGORY</div> <div>Non Faculty Vacancies</div>
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<div><div>College</div> <div>Engineering</div>
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<div><div>Department</div> <div>Architectural Engineering</div>
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<div><div>Job Purpose</div><br>
<p></p><div><p>As a Laboratory Support Engineer for the Department of Architectural Engineering you are requested to provide advanced technical and laboratory support for the Department's undergraduate and graduate teaching, research, and innovation activities. The role supports the successful delivery of the bachelor&rsquo;s program, four master&rsquo;s programs, and the Ph.D. in Science and Technology for Heritage Conservation and Management by ensuring the effective operation, maintenance, and continuous development of specialized laboratories, digital fabrication facilities, design studios, and advanced architectural engineering software.</p>
<p>Working closely with faculty members, undergraduate and graduate students, the engineer supports laboratory-based teaching, research projects, thesis work, and technical operations while ensuring compliance with safety standards and best practices. The position also contributes to the Department's strategic growth by strengthening its research capabilities, supporting accreditation requirements, introducing emerging technologies, and ensuring that laboratory resources meet the evolving needs of a research-intensive academic environment.<br>
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<div><div>Main accountabilities &amp; expectations</div><br>
<p></p><div><ul><li>Provide advanced technical and laboratory support for undergraduate and graduate teaching, research, and innovation activities within the Department of Architectural Engineering.</li>
<li>Manage the operation, maintenance, calibration, and continuous improvement of specialized laboratories, design studios, digital fabrication facilities, and technical equipment.</li>
<li>Install, configure, maintain, and troubleshoot architectural engineering software, including CAD, BIM, visualization, simulation, AI, and digital fabrication applications, while ensuring compliance with licensing requirements.</li>
<li>Support faculty members and students during laboratory sessions, design studios, thesis and dissertation research, capstone projects, design juries, and research activities by providing expert technical guidance.</li>
<li>Coordinate laboratory planning, scheduling, resource allocation, and technical support for academic activities, exhibitions, outreach events, and departmental initiatives.</li>
<li>Monitor laboratory safety, equipment performance, inventories, software licenses, and maintenance schedules, ensuring compliance with university policies and industry best practices.</li>
<li>Assist in planning laboratory budgets and procurement of equipment, software, and consumables to support the Department's academic and research priorities.</li>
<li>Coordinate effectively with the College of Engineering and relevant University units to optimize laboratory resources, technical infrastructure, and operational efficiency.</li>
<li>Contributes to the implementation of new technologies, continuous laboratory enhancement, accreditation requirements, and the successful delivery of the Department's undergraduate and graduate programs.</li>
<li>Maintain accurate technical documentation, laboratory records, and the Department's digital technical resources, including relevant website content.</li>
<li>Perform other duties as assigned by the Department Chair in support of the Department's academic, research, and strategic objectives.</li>
<li>Ensure the continuous availability, reliability, and effective operation of all Architectural Engineering laboratories, design studios, digital fabrication facilities, and specialized technical equipment.</li>
<li>Provide timely, high-quality technical support for undergraduate and graduate teaching, research activities, thesis/dissertation projects, and faculty research.</li>
<li>Maintain full operational readiness, compliance, and licensing of all laboratory equipment, software, and digital infrastructure in accordance with university policies and industry standards.</li>
<li>Achieve high levels of faculty and student satisfaction through responsive, professional, and effective technical support services.</li>
<li>Ensure compliance with laboratory health, safety, and risk management requirements while maintaining a safe and efficient learning and research environment.</li>
<li>Maintain accurate inventories, optimize laboratory resources, and support timely procurement, maintenance, and equipment upgrades.</li>
<li>Contribute to the successful implementation of new technologies, laboratory enhancements, accreditation requirements, and the continuous development of the Department's teaching and research capabilities.</li>
<li>Foster effective collaboration with the College of Engineering and other University units to maximize resource utilization and operational excellence.</li>
The successful candidate is expected to support a diverse range of specialized Architectural Engineering facilities, including digital fabrication and model-making laboratories, design studios, large-format plotting and printing facilities, and advanced design, Building Information Modeling (BIM), visualization, simulation, and AI-enabled design laboratories. The role also includes providing technical support for design juries, exhibitions, graduate research activities, and other academic events, while ensuring that all laboratory facilities, equipment, software, and digital resources remain fully operational, safe, and aligned with the Department's teaching, research, and strategic objectives.<br>
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<div><div>Required Skills</div>
<div><div><div><ul><li>Experience managing specialized laboratories, technical infrastructure, laboratory equipment, software licensing, and digital resources.</li>
<li>Advanced proficiency in architectural engineering software and digital technologies, including CAD, BIM, visualization, simulation, AI-enabled design tools, and digital fabrication platforms.</li>
<li>Strong technical troubleshooting, analytical, and problem-solving skills with the ability to work independently and manage multiple priorities.</li>
<li>Excellent communication and interpersonal skills with the ability to work effectively with faculty members, researchers, students, and external stakeholders.</li>
<li>Excellent command of English (written and spoken); Arabic is desirable.</li>
<li>Demonstrated expertise in managing specialized engineering laboratories, digital fabrication facilities, and advanced architectural engineering software. Strong technical capability in laboratory operations, equipment maintenance, troubleshooting, digital technologies, and emerging tools that support teaching and research.</li>
<li>Ability to work independently while collaborating effectively with faculty members, researchers, graduate and undergraduate students. Proven organizational, analytical, and problem-solving skills, with the ability to manage multiple priorities in a dynamic academic environment.</li>
<li>Proactive, dependable, adaptable, detail-oriented, and committed to excellence. Demonstrates initiative, professionalism, sound judgment, and a strong commitment to supporting high-quality teaching, research, innovation, and continuous improvement.
</li><li>Experience supporting design studios, graduate research, thesis/dissertation projects, and interdisciplinary research activities is highly desirable.</li>
<li>Experience with laboratory safety, procurement, inventory management, accreditation requirements, and continuous laboratory improvement.</li>
<li>Willingness to support undergraduate and graduate laboratories, research activities, exhibitions, outreach initiatives, and departmental events, with flexibility to meet academic and operational requirements when needed.</li>
</ul></div></div></div></div><br>
<div></div><div><div>Desirable Requirements</div>
<p></p><div><div> Master&rsquo;s degree in Architectural Engineering, Architecture, or a closely related discipline.
</div><div> Minimum of 5 years of progressively responsible experience in laboratory management, technical support, architectural engineering, research laboratories, or higher education, with demonstrated experience supporting undergraduate and graduate teaching and research.
</div><div><ul><li>Priority is to UAE Nationals.<br>
</li></ul></div></div></div><br>
<p></p><div><div>Job Location</div> <div>University of Sharjah (Main)</div>
</div><br>
<div><div>Job Criteria</div>
<div><div><div><div><div>Gender</div> <div>, Male, Female,</div>
</div><br>
<div><div>Qualifications</div> <div>Master's degree</div>
</div><br>
<div><div>Relevant Experience</div> <div>5</div>
</div><br>
<div><div>Living In UAE</div> <div>Open for all</div>
</div><br>
<div><div>Nationality</div> <div>, All,</div></div></div></div></div></div></div></div>

Laboratory Support Engineer - Architectural

SourcingXPress

<div>
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  Company:
 </strong>
 Tenarai
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  Website:
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 Visit Website
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  LinkedIn:
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 Visit LinkedIn
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  Business Type:
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 Enterprise
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  Company Type:
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 Product &amp; Service
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  Business Model:
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 B2B
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  Funding Stage:
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 Series A
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  Industry:
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 Information Technology
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  Salary Range:
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 ₹ 25-45 Lacs PA
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 <strong>
  Job Description
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 We are looking for a
 <strong>
  Senior AI Engineer
 </strong>
 who can take AI proof-of-concepts and turn them into reliable, scalable, secure, and production-ready applications. The person will work independently, own solutions end to end, and guide the team on AI engineering best practices and new technologies
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  The Role Will Involve
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   LLM-based solutions such as APIs, RAG, and AI agents.
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   Classical Machine Learning and Deep Learning solutions such as forecasting, anomaly detection, and computer vision.
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   Taking AI solutions from idea/prototype to production.
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   Providing technical guidance and recommending the right AI technologies and approaches.
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  Key Responsibilities
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   Understand business problems and convert them into practical AI use cases with measurable KPIs.
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   Design enterprise-grade AI solutions that are scalable, secure, reusable, and maintainable.
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   Choose suitable technologies by considering best practices, cost, risks, benefits, performance, and scalability.
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   Build complete AI solutions from problem understanding and design to development, testing, deployment, and monitoring.
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   Develop LLM applications using prompts/system instructions, context, RAG, evaluation, and guardrails.
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   Develop, train, and deploy ML/DL models whenever required.
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   Build test frameworks and monitoring to ensure AI solutions perform reliably in production.
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   Work independently and provide technical direction to other team members.
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  Required Skills &amp; Qualifications
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   Software Engineering &ndash; Mandatory
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   Minimum 5 years of software development experience.
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   Strong programming skills in Python.
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   Good software engineering practices including Git, code reviews, automated testing, and documentation.
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   Experience designing and consuming REST APIs.
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   Experience building APIs/services using FastAPI or a similar framework.
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   Good knowledge of SQL, databases, and structured data.
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   Artificial Intelligence &ndash; Mandatory
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   Hands-on experience building and deploying LLM-based applications in a real product or production environment.
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   Good understanding of LLM model selection, cost optimization, latency, and technical trade-offs.
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   Strong understanding of AI orchestration frameworks such as LangChain.
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   Strong understanding of RAG, chunking, vector databases/search, grounding, and guardrails.
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   Experience building reliable LLM-powered applications using appropriate prompts, context, and evaluation methods.
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   MLOps / AIOps &ndash; Mandatory
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  <li>
   Experience taking AI/ML prototypes into production and operating them as monitored and maintainable services.
  </li>
  <li>
   Hands-on experience with managed LLM platforms in production.
  </li>
  <li>
   Azure OpenAI / Azure AI Foundry experience is strongly preferred, including GPT-4o and managed embedding models.
  </li>
  <li>
   Understanding of secure credential and configuration management, such as Managed Identity and Azure Key Vault.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Machine Learning algorithms for regression and classification.
  </li>
  <li>
   Basic knowledge of React and TypeScript
  </li>
  <li>
   for AI application/interface prototyping.
  </li>
  <li>
   Experience with Docker and CI/CD pipelines.
  </li>
  <li>
   Knowledge of Responsible AI, explainability, AI governance, and security.e
  </li>
  <li>
   Experience with data analysis and visualization.
  </li>
 </ul>
</div>


Senior Artificial Intelligence Engineer

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