ai/ml specialist

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 The Role
 
 
 
 
 
 
 The Senior AI/ML Support Specialist will provide expert technical support and enablement services for AI research computing at KAUST's world-class supercomputing facility (KSL). Working under the AI/ML Support Team Lead, this role focuses on hands-on technical implementation, user support, and optimization of AI workflows on KSL's infrastructure. The scientist will serve as a technical expert helping researchers effectively utilize thousands of GPUs for distributed AI training, while ensuring compliance with governance and security requirements. A key aspect of this role involves the review and implementation of secure and compliant artifact creation and maintenance for AI, including models, software, datasets, and pipelines. Senior candidates should initiate and autonomously work on operational and/or scientific impact project(s) in collaboration with KAUST faculty members or with teams in the lab or other core labs, in the framework of method development projects impacting a wide range of research groups by proposing new added-value services within the lab.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 Technical Implementation and Support
 
 
 <ul>
 <li>
 Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
 </li>
 <li>
 Maintain high customer service standards in dealing with and responding to user issues and questions.
 </li>
 <li>
 Install, configure, and maintain AI/ML software packages on HPC systems, ensuring secure, compliant, and performant deployments.
 </li>
 <li>
 Provide expert technical support for distributed training on GPUs using frameworks like DeepSpeed, PyTorch Lightning, NVIDIA Nemo, and PyTorch FSDP.
 </li>
 <li>
 Debug and optimize performance issues in AI workloads, including communication bottlenecks and I/O optimization.
 </li>
 <li>
 Develop and maintain complex SLURM workflows for multi-node, multi-GPU training jobs.
 </li>
 <li>
 Assist researchers with hyperparameter optimization and distributed data analytics implementations.
 </li>
 <li>
 Support users in building efficient OCI-compliant and HPC-ready containers using Singularity and Podman for AI workloads.
 </li>
 <li>
 Troubleshoot issues with NCCL, MPI, and other communication libraries for GPU clusters.
 </li>
 </ul>
 
 
 
 
 
 Governance and Compliance Support
 
 
 <ul>
 <li>
 Execute AI artifact control reviews for software packages, models, and datasets.
 </li>
 <li>
 Perform computational readiness reviews for AI project proposals.
 </li>
 <li>
 Inspect security vulnerabilities in AI software, models, and datasets using tools like JFrog, Nexus, Trivy, Snyk, or similar.
 </li>
 <li>
 Support the implementation of usage monitoring and reporting systems for audit compliance.
 </li>
 <li>
 Maintain documentation of control processes and security procedures.
 </li>
 <li>
 Ensure user workflows comply with KSL security policies and best practices.
 </li>
 </ul>
 
 
 
 
 
 AI Infrastructure Development
 
 
 <ul>
 <li>
 Develop and maintain AI/ML benchmarks for system performance evaluation and regression testing.
 </li>
 <li>
 Build and maintain automated testing for continuous validation of HPC systems hosting AI workload after maintenance events (regression testing).
 </li>
 <li>
 Create tools and scripts to simplify researcher workflows and improve productivity.
 </li>
 <li>
 Contribute to the development of AI-enabled monitoring tools for anomaly detection in datasets and resource utilization.
 </li>
 <li>
 Implement solutions for efficient data movement and optimization on high performance storage (Lustre, Weka IO, Object stores).
 </li>
 <li>
 Develop CI/CD pipelines for reproducible AI workflows using GitLab, Argo, Tekton, etc.
 </li>
 <li>
 Support MLOps initiatives, including experiment tracking, model versioning, and deployment pipelines.
 </li>
 </ul>
 
 
 
 
 
 User Training and Documentation
 
 
 <ul>
 <li>
 Deliver technical training sessions on distributed AI training, containerization, and HPC best practices.
 </li>
 <li>
 Create and maintain technical documentation, tutorials, and best practice guides.
 </li>
 <li>
 Provide one-on-one consultation to researchers on efficient use of computational and storage resources.
 </li>
 <li>
 Develop training materials for new AI frameworks and tools as they are deployed.
 </li>
 <li>
 Support the Team Lead in workshop preparation and delivery.
 </li>
 <li>
 Contribute to knowledge base articles and FAQ documentation.
 </li>
 </ul>
 
 
 
 
 
 Technology Evaluation and Testing
 
 
 <ul>
 <li>
 Test and evaluate new AI frameworks, libraries, and tools for potential deployment.
 </li>
 <li>
 Conduct feasibility studies for emerging technologies relevant to AI workloads.
 </li>
 <li>
 Perform benchmarking of new hardware and software configurations.
 </li>
 <li>
 Support acceptance testing for new systems and upgrades.
 </li>
 <li>
 Provide technical input for procurement decisions based on user needs.
 </li>
 <li>
 Participate in proof-of-concept projects for innovative AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Strong academic foundation in machine learning, deep learning, and AI fundamentals.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 8 years of experience in HPC environments, AI/ML support, or related technical field.
 </li>
 <li>
 Proven experience with large-scale multi-GPU and multi-node distributed training.
 </li>
 <li>
 Hands-on experience with AI/ML frameworks in production HPC environments.
 </li>
 <li>
 Experience supporting researchers or working in academic/research computing settings.
 </li>
 <li>
 Programming: Proficiency in Python; experience with R, Julia, or C++ is a plus.
 </li>
 <li>
 AI/ML Frameworks: Strong expertise in PyTorch and/or TensorFlow, JAX.
 </li>
 <li>
 Distributed Training: Experience with DeepSpeed, Ray, PyTorch Lightning, NVIDIA Nemo, PyTorch FSDP, or similar.
 </li>
 <li>
 HPC Systems: Proficiency with SLURM workload manager and job scripting.
 </li>
 <li>
 Communication Libraries: Experience tuning NCCL, MPI for GPU clusters.
 </li>
 <li>
 Containerization: Expertise in Singularity and Podman for HPC environments.
 </li>
 <li>
 Software Management: Experience with Conda, Pip, Spack, EasyBuild, or Environment Modules.
 </li>
 <li>
 Linux: Strong Linux/Unix skills and bash scripting capabilities.
 </li>
 </ul>
 
 
</div>

Senior HPC AI/ML Support Specialist

VAM Systems Inc

VAM Systems is currently looking for AI/ML Specialists (Data Scientists/ ML Engineer) (On-Site) for our Bahrain operations with the following skillsets and terms &amp; conditions:Years of Experience: 7 &ndash; 10 yearsQualificationBachelor&rsquo;s Degree in Computer Science / Engineering Preferably BE Computer Science &amp; EngineeringProfessional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services. Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable. Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning.Must-Have:Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measuresSeveral years of ML experience with implemented use cases. Hands-on work experience most of which in banking, financial institutions, or insurance industries.Experience required:Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms. Experience with model evaluation and performance metrics.Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering. Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management. Ability to communicate insights and build explainable AI models.Job Responsibility:Design and develop machine learning models to support AI-driven banking solutions Collaborate with data engineers to access and prepare data for modeling Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit scoring) Evaluate model performance and optimize for accuracy, precision, and recall Deploy models into production using MLOps frameworks and CI/CD pipelines Ensure models are explainable, auditable, and compliant with regulatory standards Work with business stakeholders to identify AI opportunities and define success metrics Document model assumptions, data sources, and performance benchmarks.Core AI / NLP Engineering<ul><li>Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)</li><li>LLM fine-tuning (LoRA, PEFT, prompt tuning)</li><li>Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)</li><li>Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)</li><li>Knowledge of embeddings, tokenization, and transformer architecture</li><li>Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch</li></ul>Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)Software Engineering &amp; Backend IntegrationRESTful and GraphQL APIs, webhooks<ul><li>Containerization and deployment (Docker, Kubernetes, CI/CD)</li><li>Authentication and user/session management</li><li>Data pipelines and microservices</li><li>Knowledge of frameworks like FastAPI, Flask, NestJS, or Express</li><li>Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)</li></ul>Agent Orchestration &amp; Tooling <ul><li>LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks</li><li>Task-decomposition and reasoning chains</li><li>Function calling, tool use, and API chaining</li><li>Memory design (short-term vs long-term)</li><li>Context management and grounding strategies.</li></ul>Conversational UX / Design <ul><li>Conversation design frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress)</li><li>Flow design and intent management (Dialogflow, Rasa, Cognigy)</li><li>Tone, empathy, and personality design for AI personas</li><li>A/B testing dialogue variants and measuring user satisfaction.</li></ul>Data &amp; Infrastructure Data pipelines (Airflow, dbt, Kafka)<ul><li>Structured/unstructured data ingestion (PDFs, databases, APIs)</li><li>Feature store and model registry management (MLflow, Kubeflow)</li><li>Vector database deployment and optimization</li><li>Monitoring, logging, and drift detection.</li></ul>Governance, Security &amp; Compliance <ul><li>Model explainability (SHAP, LIME)</li><li>Bias/fairness audits and data privacy</li><li>Compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations</li><li>Secure prompt logging and audit trails.</li></ul>Products &amp; Strategy <ul><li>Translating business problems into AI use cases</li><li>Roadmapping and budget planning</li><li>KPI design (accuracy, user satisfaction, automation ROI)</li><li>Vendor management (OpenAI, Anthropic, AWS, etc.)</li><li>Change management and user adoption</li></ul>Joining time frame: (15 - 30 days)Job Type: Full-time

AI/ML Specialists (Data Scientists/ ML Engineer)

BRKZ

<div><div><h2 class="jobSectionHeader">About Us</h2>

Backed by top regional and global VCs, BRKZ is Saudi Arabia's fastest-growing construction-tech startup. Our web platform, mobile apps and WhatsApp channels give contractors instant access to 7,000+ building-material SKUs from 1,100+ vetted suppliers, with quotes in minutes and buy-now-pay-later financing built in. In just two years we have on-boarded 850+ contracting companies, supported giga-projects such as NEOM and King Salman Park, and scaled RFQs to $350 million while keeping positive unit economics.

You can read more about BRKZ's latest news on Forbes, TechCrunch &amp; Wamda.</div><h2 class="jobSectionHeader">
What You will do (Responsibilities) :</h2>
<ul><li>Design and implement cutting-edge AI-driven solutions leveraging the full spectrum of approaches from traditional ML learning to using LLMs</li>
<li>Work closely with data scientists, ML engineers, and software developers to ensure the successful deployment of AI models and applications.</li>
<li>Stay updated on emerging AI technologies and industry best practices to provide innovative and forward-thinking recommendations to clients.</li>
<li>Provide technical guidance on AI model lifecycle management, including training, tuning, monitoring, and optimisation.</li>
<li>Ensure AI solutions are scalable, secure, and compliant with industry regulations and best practices.</li>
<li>Act as a trusted advisor to users, helping them navigate AI adoption challenges and maximising the impact of AI in their operations.</li>
<li>Develop technical documentation, including solution architectures, whitepapers, and best practice guides.</li>
</ul><h2 class="jobSectionHeader">Who You are (Qualifications) :</h2>
<ul><li>Extensive experience in AI/ML, deep learning, and cloud-based AI services (AWS, Azure, or Google Cloud).</li>
<li>Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, and Hugging Face.</li>
<li>Strong programming skills in Python or similar.</li>
<li>Excellent proficiency with traditional SQL and big data technologies such as Apache Spark, Hadoop, and distributed computing frameworks.</li>
<li>Ability to analyse large datasets and derive business insights using BI tools like Tableau, Power BI, or similar.</li>
<li>Experience with MLOps practices, including model deployment, monitoring, and CI/CD for AI workflows.</li>
<li>Hands-on experience with APIs, microservices, and AI-driven automation solutions.</li>
</ul>
Soft skills and Competence:
<ul>
<li>Experience in digital transformation, business process optimisation, or AI strategy consulting.</li>
<li>Knowledge of AI ethics, bias mitigation, and regulatory compliance in AI adoption.</li>
<li>Excellent communication and presentation skills, capable of articulating complex AI concepts to non-technical stakeholders.</li>
<li>Strong problem-solving and analytical skills, with the ability to design tailored AI solutions for diverse business challenges.</li>
<li>Excellent familiarity with the SDLC and project management methodologies and tools (e.g. Jira, Confluence, etc.)</li>
<li>Passion for innovation and continuous learning in AI and emerging technologies.</li>
<li>Ability to handle multiple client engagements and prioritise tasks in a fast-paced environment.</li>
</ul><h2 class="jobSectionHeader">What we offer:</h2>
<ul><li>It is an excellent opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will impact the entire business.</li>
<li>Attractive compensation package</li>
<li>Access to tools helping with your learning and development</li>
<li>Product first mindset</li>
<li>The best idea wins; we are all ears about ways to do things better.</li>
<li>Exciting stock options</li>
</ul><div>
Check our guide on How to prepare for your interviews with BRKZ ️

Pls note : Certain positions eventual grading might be subject to interview performance, this allows great talent to shine regardless of years of experience and keeps a fair process based on how big of an impact you deliver in the organization.</div></div>

Senior Artificial Intelligence Engineer (AI)

U.S. Bank

<div>At U.S. Bank, we&rsquo;re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at&mdash;all from Day One.<h2 class="jobSectionHeader">
Job Description</h2>
Job Description
The Process, Transformation &amp; Automation team, and is a central resource to support identification and evaluation of Artificial Intelligence &amp; Machine Learning (AI/ML), Automation, and Process improvement opportunities. The team solves challenging and complex operational problems across various functions, providing a broad exposure across Operations. Simplification, speed, and efficiency is a critical part of our strategy, and as a Senior Process Automation and AI Solutions Specialist, you will play a critical role in driving our strategy forward. You will collaborate closely with cross-functional teams and senior leadership to identify opportunities and translate them into actionable plans and ensure their effective execution. Your expertise in process analytics, AI/ML technologies, automation, and problem-solving will be essential to deliver results and achieve our business objectives. You will work in a collaborative fashion with a large cross section of stakeholders, partners and other SMEs. You must be able to combine a high-level strategic approach, with an ability for detailed and hands-on discovery work needed for the success of the business. Work includes analyzing and measuring the effectives of existing business processes and developing sustainable, repeatable, and quantifiable improvements.
RESPONSIBILITIES<ul><li>
Assessment, design, and execution planning of improvement initiatives, including data collection, quantitative and qualitative analysis, SME interviews, process mapping, and gap analyses to identify opportunities for AI/ML, process improvements, automation, and optimizations.</li><li>
Synthesize insights, draw conclusions, and translate insights and recommendations into presentable slides and build a cohesive story.</li><li>
Provide objective advice, expertise, and specialist skills with the aim of creating value, maximizing growth, or improving business performance.</li><li>
Collaboration and partnership with Business Lines. Foster strong working relationships with various departments and SMEs.</li><li>
Support to business line leaders to ensure adoption and integration of new processes while promoting standards and tools for ongoing use within the business. Provide guidance and support to teams in navigating through change and uncertainty.</li><li>
Establish KPIs to measure effectiveness of improvement initiatives.</li><li>
Prepare regular presentations for senior management, highlighting progress, challenges, and recommended actions.</li><li>
Participate in the identification and assessment of potential new projects.</li><li>
Build collaboration and partnerships with Finance &amp; Risk Partners</li></ul>
Basic Qualifications:<ul><li>
10 or more years of related experience.</li><li>
Bachelor's degree, or equivalent work experience</li></ul>
Preferred Skills/Experience:<ul><li>
Strong analytical and problem-solving skills with the ability to gather and interpret data to inform decision-making.</li><li>
Experience with implementing Artificial Intelligence &amp; Machine Learning (AI/ML) and Automation solutions</li><li>
Effective verbal and written presentation and communication skills.</li><li>
Exceptional leadership skills with the ability to motivate and inspire cross-functional teams and influence without authority.</li><li>
Ability to multitask, prioritize effectively, manage competing priorities, and comfortable working through ambiguity.</li><li>
Ability to work closely with colleagues at all levels, from senior business leaders to front line staff.</li><li>
Ownership mindset and doer mindset.</li><li>
Experience in management consulting.</li><li>
Training/certification in Lean Management System, Lean Six Sigma, and Process improvement methodologies/tools.</li><li>
Graduate degree preferred.</li></ul>
Location Expectations:
This position offers a hybrid/flexible schedule which means there's an in-office expectation of 3+ days per week and the flexibility to work outside the office location for the other days.
If there&rsquo;s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members&rsquo; whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:<ul><li>
Healthcare (medical, dental, vision)</li><li>
Basic term and optional term life insurance</li><li>
Short-term and long-term disability</li><li>
Pregnancy disability and parental leave</li><li>
401(k) and employer-funded retirement plan</li><li>
Paid vacation (from two to five weeks depending on salary grade and tenure)</li><li>
Up to 11 paid holiday opportunities</li><li>
Adoption assistance</li><li>
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law</li></ul>
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.</div>

Senior Process Automation and AI Solutions Specialist

Girmairi

<div>
 
 This role requires someone who understands
 
 both machine learning fundamentals in deep levels and real-world implementation.
 
 The Lead AI/ML Engineer will design, develop, and deploy machine learning models to address real-world challenges. Responsibilities include working with neural network architectures, implementing algorithms to improve system performance, and solving complex problems related to AI applications. The role also involves analyzing and interpreting large datasets to advance the organization&rsquo;s mission-driven goals.
 
 
 
 
 
 This is
 
 not a research role.
 
 You should be able to lead and hit the ground running.
 
 
 This is
 
 not a &ldquo;just prompt engineering&rdquo; role.
 
 
 
 This is
 
 not Junior/mid-level position.
 
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Design, build, and deploy ML models into production
 </li>
 <li>
 Work with LLMs (OpenAI, Claude, open-source models, etc.)
 </li>
 <li>
 Fine-tune and evaluate models when needed
 </li>
 <li>
 Design data pipelines for training and inference
 </li>
 <li>
 Run experiments and benchmark different models
 </li>
 <li>
 Work closely with backend engineers to integrate AI into products
 </li>
 <li>
 Improve model performance, latency, and cost efficiency
 </li>
 <li>
 Build evaluation frameworks for AI quality and safety
 </li>
 </ul>
 
 
 
 
 
 Required qualifications
 
 
 
 Strong foundation in:
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Deep Learning
 </li>
 <li>
 Model evaluation techniques
 </li>
 <li>
 Data preprocessing &amp; feature engineering
 </li>
 </ul>
 
 Experience with:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 PyTorch or TensorFlow
 </li>
 <li>
 Hugging Face ecosystem
 </li>
 <li>
 LLM APIs and open-source models
 </li>
 <li>
 Experience deploying models to production
 </li>
 </ul>
 
 Understanding of:
 
 <ul>
 <li>
 Model fine-tuning (LoRA, PEFT, etc.)
 </li>
 <li>
 Embeddings &amp; vector databases
 </li>
 <li>
 Prompt engineering
 </li>
 <li>
 RAG architectures
 </li>
 <li>
 Comfortable working with cloud platforms
 </li>
 </ul>
 
 Nice to have:
 
 <ul>
 <li>
 Background in NLP or conversational AI
 </li>
 <li>
 Experience in building muti-agent-based AI systems
 </li>
 <li>
 
 Deep contextual understanding of Arabic language and Islamic principles.
 
 </li>
 </ul>
 
 Background:
 
 <ul>
 <li>
 More than 5 years of professional development (most of which should be AI focused)
 </li>
 </ul>
 
 
 
 
 
 Company Description
 
 
 
 Girmairi is teaming up with MyXara which is dedicated to
 
 supporting the personal and spiritual well-being of Muslims.
 
 We provide guidance and resources to help individuals navigate challenges related to stress, identity, and faith. Our mission is to ensure that no Muslim has to face their journey alone, and we aim to foster resilience and strength in our community. Whether it's overcoming daily hurdles or deepening one&rsquo;s connection with Iman, we strive to be a trusted partner.
 
 
 
 
 
 
 Girmairi and MyXara (both are USA based; learn more www.girmairi.com)
 
 
 
 
 
 
 
 What's in it for you &amp; how we work
 
 
 <ul>
 <li>
 This is a
 
 half-time/part-time position
 
 but for the right person we can make it a full-time.
 </li>
 <li>
 We are mostly
 
 remote
 
 team. Great place if you are solo-contributor.
 </li>
 <li>
 We are flexible on compensation (
 
 estimated full-time range: 40,000 EGP - 90,000 EGP
 
 
 depending on your skills and experience level
 
 ).
 </li>
 <li>
 
 Flexible schedule;
 
 we care more about quality and output than when and how you do the work (we do have team meetings every other day and as necessary - usually EST time early/late evenings)
 </li>
 </ul>
 
 
 
 
 
 Interview process
 
 
 
 
 Step one:
 
 group call with the team. We will go over your experience and what you have been working on. This is the time to showcase all the cool stuff you are building/experimenting with.
 
 
 
 Step two:
 
 a take home exercise (ideally should be able to complete within 2-4 hrs.
 
 
 
 Step three:
 
 final interview reviewing the take home exercise and group discussion.
 
 
 
 
</div>

Lead AI / ML Engineer

AstraZeneca

<div>Job Title: Biobank Associate Principal Informatician
Location: Gaithersburg, MD US
Job Summary:<div>
Human Biological Samples (HBS) are fundamental to medical research in the discovery, development and implementation of new treatments and diagnostics. HBS are ethically sensitive materials, and the collection, handling and access to HBS are subject to strict regulations, principles and ethical guidelines.</div><div> 
This role is responsible for collecting, managing, and analyzing data to derive insights and support decision-making processes.This role also owns the enterprise biobanking capability model, defining what biobanking automation, AI, and digital platforms exist, why they are needed, and how they scale across Biocentres.
Accountabilities:<div><ul><li>
Lead the design and governance of biobanking informatics ecosystems to support end-to-end sample biobanking.</li></ul></div><div><ul><li>
Define and advance the informatics strategies for biocentre operations, enabling scalable data models, real-time operational visibility</li></ul></div><div><ul><li>
Advance analytics to improve samples traceability, operational efficiency, and decision-making across biobanking workflows</li></ul></div><div><ul><li>
Ensure robust data integrity across biobanking systems, establishing standards and controls to maintain accurate, complete, and traceable sample data across LIMS, instruments, orchestration platform and downstream analytical environments</li></ul></div><div><ul><li>
Enable advanced analytics and operational insights for Biocentre biobanking operations, developing frameworks for RT-monitoring, performance metrics, and predictive analytics to support data-driven decision-making, improve operational efficiency and enhance sample visibility</li></ul></div><div><ul><li>
Understands the processes, technology and services the study team relies on, their needs and pain points. Uses this knowledge to supply advice and guidance, removes barriers, supplies solutions and finds opportunities for improvement.</li></ul></div><div><ul><li>
Partner with R&amp;D IT (Information Technology), Global Clinical Solutions, Business Process Management Office (BPMO), to govern and productize clinical operations workflows and enable real-time decisioning and predictive analytics.</li></ul></div><div><ul><li>
Build and lead cross functional solutions; run pilots to scaled adoption; measure ROI and operational impact.</li></ul></div><div><ul><li>
Research and analyses business context, users, and roadmap for assigned solutions</li></ul></div><div><ul><li>
Ensure customer requirements are understood, critically evaluated, prioritised and addressed within the given area.</li></ul></div> 
Essential Requirements:<ul><li>
Masters degree in Bioinformatics/ Biotechnology required, PhD preferred; 2-4 years experience in automation</li></ul><div><ul><li>
Defines vision, roadmap, prioritize effective to drive growth opportunities for automation and use of AI</li></ul></div><div><ul><li>
Design and implement AI/ML and workflow automation for Global Biosample initiatives</li></ul></div><div><ul><li>
Practical experience working with large datasets and normalised database structures</li></ul></div><div><ul><li>
Build and lead cross functional solutions; run pilots to scaled adoption</li></ul></div><div><ul><li>
Research and analyses business context, users, and roadmap for assigned solutions</li></ul></div><div><ul><li>
Ensure Biosamples requirements are understood, critically evaluated, prioritised and addressed within the given area.</li></ul></div><div><ul><li>
Ability to take business requirements and translate these into technical requirements</li></ul></div><div><ul><li>
Networking skills, ability to interact widely and effectively both within the company (on both an interdepartmental and interdisciplinary basis) and externally</li></ul></div><div><ul><li>
Excellent verbal and written communication skills and ability to build strong relationships</li></ul></div><div><ul><li>
Experience in collaborating and sharing knowledge between teams</li></ul> 
Desired Experience<ul><li>
2-4 years experience in AI enabled digital platform</li></ul>
AstraZeneca is committed to making a difference by fusing data and technology with scientific innovations to achieve breakthroughs. We empower our teams to explore the biology of complex diseases, making bold decisions without fear of failure. Our inclusive environment fosters collaboration across academia, biotechs, and industry, leveraging diverse global knowledge for swift impact on disease. With opportunities for continuous learning and career development, AstraZeneca is where curious minds thrive as we push the boundaries of science to deliver life-changing medicines. 
The annual base pay (or hourly rate of compensation) for this position ranges from $143,323.20 - $214,984.80 USD Annual Our positions offer eligibility for various incentives&mdash;an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.</div></div></div>

Biobank Associate Principal Informatician

USAA

<div>Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values &ndash; honesty, integrity, loyalty and service &ndash; define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
The Bank AI/ML team is looking for candidates with backgrounds in model development for credit risk, marketing, or everyday banking.
As a Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA&rsquo;s tooling, expanding the company&rsquo;s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.
This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.
Relocation assistance is available for this position.
What you'll do:<ul><li>
Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.</li><li>
 Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.</li><li>
Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.</li><li>
Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.</li><li>
Composes technical documents for knowledge persistence, risk management, and technical review audiences.</li><li>
Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders.</li><li>
Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.</li><li>
Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.</li><li>
Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer&rsquo;s vision and specifications while being consistent with modeling best practices and model risk management standards.</li><li>
Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.</li><li>
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.</li></ul>
What you have:<ul><li>
Bachelor&rsquo;s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.</li><li>
4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master&rsquo;s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis.</li><li>
2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.</li><li>
2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.</li><li>
Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).</li><li>
Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.</li><li>
Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.</li><li>
Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.</li><li>
Ability to assess regulatory implications and expectations of distinct modeling efforts.</li><li>
Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.</li><li>
Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.</li><li>
Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.</li></ul>
What sets you apart:<ul><li>
Medium or large bank experience.</li><li>
Strong working knowledge of Python and/or SAS.</li><li>
Control partner collaboration experience.</li><li>
Familiar with Model Risk Management, Model Governance, and Regulatory requirements.</li><li>
US military experience through military service or a military spouse/domestic partner.</li></ul>
Compensation range: The salary range for this position is: $114,080 - $218,030.
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. 
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. 
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. 
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. 
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>

Data Scientist (Mid-level) - Model Development

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