scientist engineer

black.ai

<p>At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That's why we're redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder's mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents.</p> <p>By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.</p> <p><b>An Exciting Time to Join Sonder!</b></p> <p>Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia's leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale.</p> <p>Our impact and scale:</p> <ul> <li>1,000,000+ members across multiple countries</li> <li>200+ team members, plus an extensive network of on-the-ground responders</li> </ul> <p>If you're passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing!</p> <b>Role Summary</b> <p>Are you a recent PhD graduate or Postdoctoral researcher passionate about applying cutting edge AI to solve real world problems? Join Sonder as an Applied Machine Learning Scientist/Engineer - focusing on LLM Research & Fine Tuning Engineering, and help us build a new generation of AI systems that directly impact human well being and safety.</p> <p>This is a unique opportunity for a PhD level candidate to apply their deep academic knowledge to a mission driven environment. This role is distinct from typical AI tooling or RAG based roles.</p> <p>We are not seeking candidates whose primary experience is in building vector search systems or integrating off the shelf APIs. Instead, we require deep, hands on expertise with the internal workings of large language models. Your work will be instrumental in developing our personalisation engine and fine tuning state of the art open source LLMs like LLaMa, Mistral, and DeepSeek. Your research will translate directly into creating specialised LLMs that provide empathetic, life saving support to our members.</p> <p>We're looking for someone who thrives on technical challenges and wants to see their expertise translate into a positive, tangible impact.</p> <b>Key Responsibilities</b> <ul> <li>Research, fine tune, and optimise open source LLMs using techniques such as PEFT, LoRA, and QLoRA to build our proprietary AI models.</li> <li>Contribute to the design and implementation of our personalisation and recommendation engines to deliver tailored, proactive support.</li> <li>Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.</li> <li>Collaborate closely with cross functional teams, including product managers, software engineers, and mental health professionals, to translate research into effective product features.</li> <li>Stay current with the latest advancements in AI and LLM research, and apply new techniques to improve our systems.</li> <li>Publish and/or present research findings at conferences or in academic journals where appropriate, contributing to the broader AI community.</li> </ul> <b>Key Qualifications</b> <ul> <li>A recently completed <b>PhD</b> or <b>Postdoctoral experience</b> in Machine Learning, AI, Computer Science, or a closely related quantitative field.</li> <li>Deep theoretical and practical understanding of Transformer architectures, attention mechanisms, and training dynamics.</li> <li>Hands on experience fine tuning open source LLMs (e.g., LLaMa, Mistral, DeepSeek).</li> <li>Strong computer science fundamentals and coding proficiency in Python.</li> <li>Solid experience with deep learning frameworks such as PyTorch or TensorFlow.</li> <li>A profound passion for applying AI to high impact, meaningful domains such as mental health and well being.</li> </ul> <p><b>Candidates with primary experience limited to building Retrieval Augmented Generation (RAG) systems or MLOps tooling are not a suitable fit for this specific role.</b></p> <b>Nice to Have</b> <ul> <li>Experience with <b>distributed training</b> techniques for large models.</li> <li>Familiarity with cloud based machine learning stacks (e.g., <b>AWS, GCP</b>).</li> <li>A track record of <b>peer reviewed publications</b> in top tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).</li> </ul> <b>Eligibility</b> <ul> <li>The right to work full time in Australia</li> <li>Located within commuting distance to our Sydney office at the time of commencement.</li> </ul> <b>Impact & Growth</b> <p>Your work at Sonder will go beyond just optimising models; it will directly contribute to saving lives and improving mental well being on a global scale. This role offers the opportunity to shape our core AI technology from the ground up while growing as a leader in a supportive, mission driven environment. You will have the freedom to explore new research ideas and the resources to see them through to deployment, making a tangible difference in the world.</p> <b>Why Join Sonder?</b> <p>At Sonder, we thrive in a fast paced, high performance environment with a strong commitment to our people. Our team is a collaborative, vibrant group of passionate professionals, dedicated to making a real impact on people's lives every day.</p> <ul> <li>Hybrid and flexible working environment. Enjoy the perfect balance of in office collaboration and work from home flexibility, empowering you to optimise your productivity and work life balance.</li> <li>Gain free access to the Sonder app for you and your family, offering 24/7 on demand support for health, wellbeing, and safety.</li> <li>$1000 annual contribution as part of your development plan + 2 days of study leave</li> <li>Paid parental leave with an attractive return to work policy, 12 weeks for Primary Carers and 4 weeks for Secondary Carers, plus our Primary Carers return to work at 80% for the first 3 months at full pay.</li> <li>Participate in our Employee Share Option Plan (ESOP) for you to be a part of Sonder's success.</li> <li>Salary Packaging and novated leasing</li> <li>Access $250 annually to fund to invest in your wellbeing, empowering you to choose the support that best fits your needs.</li> <li>Free coffee on Tuesdays and catered lunch on Thursdays.</li> <li>Team social fund to connect with your team, plus monthly company wide social events.</li> <li>Dog friendly office.</li> <li>Volunteer leave. 2 days per year to participate in meaningful causes and contribute back to the community.</li> </ul> <p>Check out our life page for more info - </p> <b>Sonder is for Everyone</b> <p>We're committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out - we'd love to hear from you.</p> <p>Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.</p>

Applied Machine Learning Scientist/Engineer - LLMs (Recent PhD Grad)

SAIC

<div><p>Job ID: 2512374</p><p><b>
Location: </b>REMOTE WORK, VA, US</p><p><b>
Date Posted: </b>2025-12-15</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Data Scientist</p><p><b>
Schedule: </b>Full-time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>None</p><p><b>
Clearance Level Must Be Able to Obtain: </b>Public Trust</p><p><b>
Potential for Remote Work: </b>Yes</p><p><b><br>
Description</b>
</p><p>SAIC is seeking an innovative, hands-on development oriented, AI Engineer / Data Scientist with eight years&rsquo; experience in AI/ML/NLP and data modeling to develop prototypes of emerging technologies that solve business problems. The candidate must have cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments. This resource will join an energetic and versatile team responsible for addressing the customer challenges through the use of advancing technologies. This is a remote job that can be worked from any location in the continental U.S.</p><p><b>
Responsibilities:</b></p><ul><li>
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.</li><li>
Develop end-to-end plans for cloud native AI/ML/NLP innovations that are compliant with cybersecurity policies.</li><li>
Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.</li><li>
We need a resource that understands modern AI Large Language Models (LLM&rsquo;s) and their inner workings / architectures / backbone and head.</li><li>
We need a resource experienced in prompt engineering and Retrieval-Augmented Generation (RAG).</li><li>
Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate (ATO) certifications.</li><li>
Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.</li><li>
Develop low risk implementation plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices.</li><li>
Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.</li><li>
Conduct exploratory data analysis and generate actionable insights from large and complex datasets.</li><li>
Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.</li><li>
Develop reusable code libraries and best practices for modernization and innovation development and deployment.</li><li>
Mentor more junior data scientists and guide the team in adopting the new technologies and techniques.</li><li>
Stay current with advancements in data science, machine learning, AI research and cloud architectures.</li><li>
Support Agile product teams in integrating and operationalizing emerging technologies and data strategies.</li><li>
Analyze data and usage to find patterns and solutions to business challenges.</li></ul><p><b>
Qualifications</b>
</p><p><b>Qualifications:</b></p><ul><li>
MA/MS degree and 8 years or more of experience in data analytics, data modeling, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google). Additional experience may be substituted for educational requirements where appropriate.</li><li>
US Citizenship not required, but must have lived in the US for at least two consecutive years.</li><li>
Must be able to obtain a Public Trust.</li></ul><br>
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Principal Data Scientist AI Engineer

Fulcrum Worldwide

<p></p><div><p><b>Who are we</b></p><p><br>
Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking &amp; financial services, insurance, retail, higher education, food, healthcare, and manufacturing.</p><p><b><br>
About the Role</b></p><p><br>
We are looking for a skilled and hands-on <b>Data Scientist</b> with 4&ndash;5 years of experience in developing and deploying machine learning models&mdash;ranging from traditional ML algorithms to advanced deep learning and Generative AI systems. The ideal candidate brings a strong foundation in classification, anomaly detection, and time-series modeling, along with hands-on experience in deploying and optimizing <b>Transformer-based models</b>. Familiarity with <b>quantization</b>, <b>fine-tuning</b>, and <b>RAG (Retrieval-Augmented Generation)</b> is highly desirable.</p><p></p><p><b><br>
Responsibilities</b></p><br>
<ul><li>
Design, train, and evaluate ML models for tasks such as classification, anomaly detection, forecasting, and natural language understanding.<br>
</li><li>
Build and fine-tune deep learning models, including <b>RNNs, GRUs, LSTMs</b>, and <b>Transformer architectures</b> (e.g., BERT, T5, GPT).<br>
</li><li>
Develop and deploy <b>Generative AI solutions</b>, including <b>RAG pipelines</b> for use cases such as document search, Q&amp;A, and summarization.<br>
</li><li>
Perform <b>model optimization techniques</b> such as <b>quantization</b> for improving latency and reducing memory/compute overhead in production.<br>
</li><li>
Optionally fine-tune LLMs using <b>Supervised Fine-Tuning (SFT)</b> and <b>Parameter-Efficient Fine-Tuning (PEFT)</b> methods like <b>LoRA</b> or <b>QLoRA</b>.<br>
</li><li>
Define and track relevant evaluation metrics; continuously monitor model drift and retrain models as needed.<br>
</li><li>
Collaborate with cross-functional teams (data engineering, backend, DevOps) to productionize models using CI/CD pipelines.<br>
</li><li>
Write clean, reproducible code and maintain proper versioning and documentation of experiments.</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><p><b>
Required Skills</b></p><br>
<ul><li>
4&ndash;5 years of hands-on experience in machine learning or data science roles.<br>
</li><li>
Proficient in Python and ML/DL libraries: scikit-learn, pandas, PyTorch, TensorFlow.<br>
</li><li>
Strong knowledge of traditional ML and deep learning, especially for sequence and NLP tasks.<br>
</li><li>
Experience with <b>Transformer models</b> and open-source LLMs (e.g., Hugging Face Transformers).<br>
</li><li>
Familiarity with <b>Generative AI</b> tools and <b>RAG frameworks</b> (e.g., LangChain, LlamaIndex).<br>
</li><li>
Experience in <b>model quantization</b> (e.g., dynamic/static quantization, INT8) and deployment on constrained environments.<br>
</li><li>
Knowledge of vector stores (e.g., FAISS, Pinecone, Azure AI Search), embeddings, and retrieval techniques.<br>
</li><li>
Proficiency in evaluating models using statistical and business metrics.<br>
</li><li>
Experience with <b>model deployment</b>, <b>monitoring</b>, and performance tuning in production environments.<br>
</li><li>
Familiarity with Docker, MLflow, and CI/CD practices.</li></ul><p></p><p><b><br>
Preferred Qualifications</b></p><br>
<ul><li>
Experience fine-tuning LLMs (SFT, LoRA, QLoRA) on domain-specific datasets.<br>
</li><li>
Exposure to MLOps platforms (e.g., SageMaker, Vertex AI, Kubeflow).<br>
</li><li>
Familiarity with distributed data processing (e.g., Spark) and orchestration tools (e.g., Airflow).<br>
</li><li>
Contributions to research papers, blog posts, or open-source projects in ML/NLP/GenAI.</li></ul></div><div></div>
<br><ul><div><p>Job Opening ID</p>
<div>RRF_6177
</div></div><div><p>Job Type</p>
<div>Permanent
</div></div><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Date Opened</p>
<div>24/11/2025
</div></div><div><p>City</p>
<div>Pune City
</div></div><div><p>Province</p>
<div>Maharashtra
</div></div><div><p>Country</p>
<div>India
</div></div><div><p>Postal Code</p>
<div>411057</div></div></ul>

Data Scientist / AI Engineer

EA Engineering Science and Technology

<div><div><h2 class="jobSectionHeader"><b>About Us</b></h2>
<p>
At EA, you'll find yourself surrounded by dynamic professionals that embrace collaboration and curiosity to foster innovation and problem-solving. This culture forms the essence of our value proposition to apply high-quality, objective, and interdisciplinary services to complex environmental challenges. With a strong foundation in servant leadership and community service, EA employees are encouraged to pursue personal and professional passions. As a team, we empower each other to share ideas, believe in our common purpose, and value differing perspectives.</p></div><h2 class="jobSectionHeader"><b>
Position Overview</b></h2>
<p>
We have an exciting opportunity for an early-career Scientist, Chemist, Geologist, or Engineer to join our team. This role will include a combination of office-based work and field activities. You will support a wide array of environmental projects that contribute to the protection of natural resources and the sustainability of our communities.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li>Support environmental assessments and investigations of surface and subsurface soil, groundwater, surface water, and soil vapor</li><li>Conduct data entry, quality review, and support report writing to document field study results</li><li>Assist with preparing work plans and other project documentation</li><li>Provide field oversight and support on environmental and construction-related projects</li><li>Support general office tasks for project teams</li><li>Assist in a diverse range of projects, which may include: environmental compliance, construction support, natural resources management, coastal resilience, and hazardous site investigation and remediation</li></ul>
<h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2>
<ul><li>Bachelor's degree in Environmental Science, Chemistry, Geology, Engineering, or a related field</li><li>Excellent verbal and written communication skills with the ability to work effectively across multidisciplinary teams</li><li>Ability to work in both office and field environments</li><li>Comfortable working in varying field conditions (e.g., hot, humid, and/or stormy weather)</li><li>Demonstrated flexibility, adaptability, and willingness to learn</li><li>Strong attention to detail when following safety protocols, collecting data, and preparing documentation</li><li>Proficiency with Microsoft Office and Adobe Acrobat</li><li>Ability to obtain access to military installations and possess a valid driver's license</li></ul>
<h2 class="jobSectionHeader"><b>
Desired Qualifications</b></h2>
<ul><li>Understanding of environmental science within the Pacific region and/or coastal settings</li><li>Familiarity with laboratory analytical methods or instruments</li><li>Current 40-hour Hazardous Waste Operations and Emergency Response (HAZWOPER) certification</li></ul>
<p>
Note: This position requires specific driving duties. You must be able to pass a motor vehicle records check required by our insurer.</p>
<h2 class="jobSectionHeader"><b>
Drug Screen Statement</b></h2>
<p>
Offers of employment are contingent upon successful completion of a drug screen.</p><div><p>
The EA pay range for this position is intended as a general guideline and does not guarantee specific compensation or salary. Factors considered when making an offer include job responsibilities, education, experience, knowledge, skills, abilities, internal equity, alignment with market data, and compliance with federal and state laws.</p>
<h2 class="jobSectionHeader"><b>
Why Join EA?</b></h2>
<p>
At EA, our core values are openness, balance, and challenge and we strive to improve the quality of the environment in which we live, one project at a time. Our professional, team-centric culture promotes collaboration and flexibility and allows employees to guide their own career development path. To that end, we provide training and coaching to support ongoing development for our project managers and consulting engineers.</p>
<h2 class="jobSectionHeader"><b>
What We Provide:</b></h2>
<p>
EA prides itself on servant leadership, career development for staff in all areas, and maintaining work-life balance including flexible schedules. We have a tremendous base of positive client relationships that has resulted in a stable backlog of projects and opportunities for growth. We offer paid volunteer time, tuition reimbursement, knowledge sharing, industry advancement, professional associations, and industry conferences. EA is proud to offer a fantastic benefits package that includes the following:</p>
<ul>
<li>401k with Employee Stock Ownership Plan (ESOP)</li>
<li>Competitive Salary</li>
<li>Low deductible health coverage for you and your family through Medical, Dental and Vision plans</li>
<li>Generous paid-time-off policy</li>
<li>Paid volunteer time</li>
<li>Tuition reimbursement</li>
<li>Professional Development</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts</li>
<li>Employee wellness program</li>
</ul><h2 class="jobSectionHeader"><b>Accommodation Information:</b></h2>
<p>
If you are interested in applying for employment with EA and require special assistance or accommodation during any part of the pre-employment process, please contact the EA Talent Acquisition Office at recruitment@eaest.com. For TTY users, dial 711.</p>
<h2 class="jobSectionHeader"><b>
Equal Opportunity Employer Statement:</b></h2>
<p>
EA is dedicated to providing equal employment opportunities without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.</p>
<h2 class="jobSectionHeader"><b>
Recruiting Agency Disclaimer</b></h2>
<p>
Recruiting agencies should not contact EA Engineering, Science and Technology, Inc., PBC directly with unsolicited resumes. Any unsolicited resumes submitted by a recruiting agency to EA via this website or email will be deemed the sole property of EA, and EA will not be responsible for any fee associated with such unsolicited resume.</p></div></div>

Early Career Environmental Scientist or Engineer

Johns Hopkins University Applied Physics Laboratory

<div>Description<div><br>
Do you want to work on a team researching and developing innovative ways to produce impactful information from many different types of sensors and sources of data?</div><div></div><div><br>
Would you like to advance your ideas from concept to prototype to field testing on US military ships, aircraft, satellites, and ground systems?</div><div></div><div><br>
Are you excited about designing systems that will advance our nation's Intelligence, Surveillance, and Reconnaissance (ISR) and Battle Management Command and Control (BMC2) capabilities with leading edge technology?</div><div></div><div><br>
If so, and if you are currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Applied Mathematics, Engineering, Physical Science, or another related field, we'd love to have you join our team at APL!</div><div></div><div><br>
We are seeking creative engineers, scientists, mathematicians, and programmers to help us conceptualize, develop, test, assess, and field the next generation of ISR capabilities for the US military. Our team applies a variety of disciplines such as sensor and data fusion, signal and image processing, operations research, applied physics, machine learning, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments. Our work enables the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improves the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupts the ability of potential adversaries to threaten our forces.</div><div></div><div><br>
As an intern working in Scientific Applications for Intelligence, Surveillance, and Reconnaissance,</div><ul><li>
You will apply your knowledge of computer science, applied mathematics, and/or engineering to challenging problems in machine learning, artificial intelligence, automated signal and image processing, automated object and pattern recognition, target detection and tracking, data fusion, and resource optimization.</li><li>
You will contribute to teams implementing prototype and deployable software systems that realize advanced ISR capabilities.</li><li>
You will contribute to teams developing new simulation capabilities and analytical tools.
</li><li>You will contribute to teams developing user interfaces, visualizations, and network/web services.</li><li>
You will contribute to field tests and experiments.</li><li>
You will document and present your work to project leads.</li></ul>
<br>
Qualifications<div><b><br>
You meet our minimum qualifications for the job if you...</b></div><ul><li>
Are pursuing a Bachelor's, Master's or PhD degree in Computer Science, Applied Mathematics, Engineering, Physical Science, or other related field.</li><li>
Have a passion for learning and developing new and useful things.</li><li>
Have some skills and experience programming in Python, MATLAB, Java, and/or C++.</li><li>
Have the ability to work and collaborate effectively in a team environment.</li><li>
Have a minimum 3.0 GPA on a 4.0 scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).</li><li>
Are able to obtain a Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.</li></ul><div></div><div><b><br>
You'll go above and beyond our minimum requirements if you&hellip;</b></div><ul><li>
Have prior, relevant internship experience.</li><li>
Have experience developing fully functional software applications.</li><li>
Have experience or desire in supporting field experimentation and test events, working with military systems, operators and/or warfighters.</li></ul>
<br>
About Us<div><b><br>
Why Work at APL?</b></div><div></div><div><br>
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation&rsquo;s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.</div><div></div><div><br>
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL&rsquo;s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.</div><div></div><div><br>
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.</div><div><br>
</div><div>The referenced pay range is based on JHU APL&rsquo;s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.</div><br>
<br>
Minimum Rate<br>
<br>
$22.60 Hourly
<br>
<br>
Maximum Rate<br>
<br>
$47.95 Hourly</div>

2026 Internship -Computer Scientist / Engineer for ISRT and BMC2 Applications

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking an experienced Data Scientist / AI Engineer (4+ years overall experience) (Bilingual &ndash; Arabic &amp; English proficient) with deep hands-on expertise in designing and deploying Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) solutions on Microsoft Azure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate will have prior experience developing Chat-with-Documents or internal enterprise LLM based assistants using Azure OpenAI Service, Cognitive Search, and Azure Machine Learning, ideally within regulated or enterprise environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role involves building and optimizing GenAI-powered internal chatbots that enable employees to query organizational documents, policies, and knowledge bases through natural language queries.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is based in Doha, with occasional travel to other Middle East client locations as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ol>
  <li>
   Design and implement GenAI and RAG-based chatbots using Azure OpenAI, Cognitive Search, and Azure ML.
  </li>
  <li>
   Build document ingestion, embedding, and retrieval pipelines for enterprise knowledge sources.
  </li>
  <li>
   Prepare and process multilingual (English&ndash;Arabic) data ensuring quality and semantic accuracy.
  </li>
  <li>
   Deploy and manage AI solutions.
  </li>
  <li>
   Evaluate model accuracy, latency, and hallucination rates with ongoing monitoring.
  </li>
  <li>
   Ensure compliance with Responsible AI and data privacy frameworks.
  </li>
  <li>
   Collaborate with business and IT teams to align solutions with real use cases.
  </li>
  <li>
   Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
  </li>
  <li>
   Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
  </li>
  <li>
   Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
  </li>
  <li>
   4+ years of experience in AI/ML, with a strong consulting background
  </li>
  <li>
   Proven experience of implementing at least one LLM based solution
  </li>
  <li>
   Must have worked on at least one of the the following use cases types &ndash; Predictive Modeling &amp; Classification , Simulation &amp; Optimization , Recommender Systems , Time Series Forecasting
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   Proven track record in deploying AI solutions on Microsoft Azure
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   Must be bilingual (Arabic and English language proficiency)
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   Technical Expertise
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   Strong programming skills in Python, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
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   Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
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   Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
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   Preferred Industry Experience
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   Prior experience in AI implementation within at least one of the following sectors: Financial Services (Preferred) , Oil &amp; Gas , Manufacturing, Government/Citizen Services , Energy &amp; Utilities, Telecom
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   Consulting &amp; Leadership Skills
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   Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
  </li>
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   Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
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 </ul>
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</div>


Data Scientist / AI Engineer - Consultant to Senior Consultant (Arabic Speaker)

Stanford University

<p> Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department ( ) and the Urologic Cancer Innovation Laboratory ( ) is seeking a creative, highly motivated, Research and Development Scientist and Engineer 1 with an interest in developing platforms that integrate and deploy multimodal machine learning methods in clinical applications. </p><p> The project is focused on developing a software platform to deploy our existing ultrasound-MRI models for prostate cancer detection in clinical practices. The position requires managing complex multi-modal data sets including clinical assessments, laboratory results, radiological images and pathological findings, to develop a user-friendly software that will encompass existing approaches and allows for easy integration of new models. The successful candidate will join the Department of Radiology at Stanford University and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This position is available immediately and has a 1-year duration, with possibility of extension based on funding availability and mutual agreement. </p><p> <strong>Duties include :</strong> </p><ul><li> Design and develop specialized software and tools; coordinate detailed phases of work related to responsibility for part of a major project. </li><li> Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge. </li><li> Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field. </li><li> Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty. </li><li> Optional: Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers. </li><li> Provide technical directions to other research staff, engineering associates, technicians, and/or students, as needed. </li></ul><p> - Other duties may also be assigned. <br></p> <p> <strong>DESIRED QUALIFICATIONS:</strong> </p><ul><li> Candidates should have prior experience in software and platform development and C++/python/docker/UIX programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn. </li><li> Candidate should have prior experience with Designing User Interfaces, including image visualization and connect platforms with docker containers. </li><li> Candidates with experience in radiomics, segmentation, image registration are strongly encouraged to apply. </li><li> Candidates should have demonstrated ability to work independently, attention to details, be dedicated and self-motivated. </li><li> Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles are necessary to be considered. </li><li> The candidate should have knowledge and experience in machine learning and deep learning, visualization, platform implementation. </li><li> The preferred candidate would also have experience with medical image processing, and traditional signal processing techniques. </li></ul><p> <strong>EDUCATION & EXPERIENCE (REQUIRED):</strong> </p><p> Bachelor's degree and three years of relevant experience, or combination of education and relevant experience. Preferred candidates will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields. </p><p><br> <strong>KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</strong> </p><ul><li> Thorough knowledge of the principles of engineering and related natural sciences. </li><li> Demonstrated project management experience. <br></li></ul><p> <strong>PHYSICAL REQUIREMENTS :</strong> </p><ul><li> Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. </li><li> Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. </li><li> Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh > 40 pounds. </li></ul><p> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. <br><br></p><p> <strong>WORKING CONDITIONS:</strong> </p><ul><li> May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights of 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. </li><li> May require travel. <br></li></ul><p> <strong>WORK STANDARDS:</strong> </p><ul><li> Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. </li><li> Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. </li><li> Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . </li></ul><p> The expected pay range for this position is $127,211 to $154,222 per annum. </p><p> Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. </p><p> At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. </p><p> Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . </p><p> Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. </p><p> The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. </p>

Research and Development Scientist and Engineer (1 Year Fixed-Term)

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