machine learning architect

MultiBank Group

<div><p>Welcome to <b>MultiBank Group</b>, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.</p><p>
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.</p><p><b>
Role Overview</b></p><p>
We are seeking a Senior AI Architect to design, build, and scale the AI and data platform that the organization's AI products will run on. This is a hands-on, founding technical position. The Senior AI Architect will produce architecture designs, write production code, build data pipelines, and set the engineering standards the broader AI team will follow. The role requires rare technical breadth: deep data engineering foundations, strong software engineering discipline, AI and ML systems experience, cloud infrastructure fluency, and the architectural vision to make it all coherent at enterprise scale.</p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design and build the end-to-end AI platform architecture, covering data ingestion, feature engineering, model training, serving, monitoring, and retraining as a coherent, maintainable production system</p></li><li><p>
Design the data lakehouse architecture on AWS using Delta Lake or Apache Iceberg with Databricks as the primary compute layer, and build batch and streaming data pipelines using PySpark, AWS Glue, and Kafka</p></li><li><p>
Architect and implement a feature store with online and offline stores, point-in-time joins, and feature versioning</p></li><li><p>
Own cloud infrastructure architecture for all AI and data workloads on AWS, including multi-account strategy, EKS cluster design, GPU compute, storage, and cost governance</p></li><li><p>
Build and own the MLOps platform covering experiment tracking, training pipeline automation, model packaging and deployment standards, CI/CD for ML, and model monitoring with drift detection</p></li><li><p>
Design the AI services layer, including reusable inference APIs, model serving infrastructure, and API gateway configuration with authentication, rate limiting, and cost attribution</p></li><li><p>
Integrate AI capabilities into the organization's products and business systems using event-driven and API-based patterns</p></li><li><p>
Embed security and compliance into every layer of the AI platform, including network security, IAM, PII handling, secrets management, and audit logging</p></li><li><p>
Act as the senior technical authority for the AI Initiative, setting engineering standards, mentoring engineers, and leading technical decisions</p></li><li><p>
Produce and maintain architecture documentation including C4 diagrams, Architecture Decision Records, and system integration maps</p></li></ul><p><b>
Requirements</b></p><ul><li><p>
15 or more years of experience spanning data engineering, software engineering, and AI/ML systems, with at least 3 to 5 years in a senior architecture role</p></li><li><p>
Demonstrable record of building and shipping production AI systems end-to-end, not solely designing them</p></li><li><p>
Deep hands-on data engineering background including production data pipelines, data lakehouses, and feature stores</p></li><li><p>
Expert-level AWS skills across multi-service architecture design and build; GCP or Azure familiarity is beneficial</p></li><li><p>
Strong software engineering discipline with production-quality Python and SQL, and solid understanding of distributed systems and API design</p></li><li><p>
Deep understanding of the AI and ML model lifecycle and the infrastructure required to support it at production scale</p></li><li><p>
Experience in high-growth product companies, scale-ups, or enterprise AI teams where significant technical decisions were owned</p></li><li><p>
Security-conscious approach as a default, with experience embedding data privacy and compliance requirements into architecture</p></li><li><p>
Strong written and verbal communication, including the ability to produce clear architecture documentation and present to senior leadership</p></li><li><p>
Experience leading or significantly contributing to technical team building, including mentoring and setting engineering standards</p></li><li><p>
Fintech experience is preferred</p></li></ul><p><b>
Technical Skills</b></p><ul><li><p><b>
Data Engineering and Platform</b>: Python (primary), SQL, Scala, Bash; Apache Spark (PySpark), AWS Glue, dbt, Pandas, Polars; Apache Kafka (AWS MSK), AWS Kinesis, AWS EventBridge, Flink; Delta Lake, Apache Iceberg, AWS S3, Databricks (Unity Catalog); AWS Redshift, Databricks SQL, Snowflake; Feast, AWS SageMaker Feature Store, Tecton; Great Expectations, dbt tests, Soda Core; OpenMetadata, Apache Atlas; Metabase, Redash; Apache Airflow (Astronomer), Dagster, Prefect</p></li><li><p><b>
AI and ML Systems:</b> PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM; AWS SageMaker Training, Kubeflow, Ray Train; BentoML, Seldon Core, Ray Serve, FastAPI, KServe; MLflow, Weights and Biases, ClearML; Evidently AI, Arize AI, WhyLabs; GitHub Actions, DVC, Great Expectations; Hugging Face (Transformers, Datasets, Evaluate, PEFT)</p></li><li><p><b>
Cloud and Infrastructure (AWS Primary)</b>: EKS (Karpenter), EC2 (G5, P4d GPU instances), SageMaker, Lambda, Fargate; S3, FSx for Lustre, ElastiCache (Redis), DynamoDB, RDS (PostgreSQL); SageMaker Pipelines, Feature Store, Model Registry, Bedrock, Comprehend, Textract; VPC, Transit Gateway, PrivateLink, Route 53, CloudFront, WAF; IAM (IRSA), Secrets Manager, KMS, Macie, GuardDuty, Security Hub, CloudTrail; Terraform, Terragrunt, CloudFormation, Pulumi; ArgoCD, Flux, Atlantis; Azure ML, Azure Databricks, Azure OpenAI Service (secondary)</p></li><li><p><b>
API, Integration and Solution Architecture:</b> FastAPI, gRPC, REST (OpenAPI 3.1), GraphQL; Kong, AWS API Gateway, Istio (service mesh, mTLS); Docker, Kubernetes (Helm, Kustomize); C4 Model (Structurizr), ADRs, draw.io, Lucidchart; AWS Cost Explorer, Grafana cost dashboards, per-product token attribution</p></li><li><p><b>
Third-Party Data Integrations:</b> Segment, Amplitude, Adjust, Firebase, MoEngage, JourneyFi, Funnel, Debezium, AWS DMS, Fivetran</p></li><li><p><b>
Security and Compliance</b>: OAuth 2.0, JWT, AWS Cognito, mTLS, AWS SSO; AWS Secrets Manager (auto-rotation), HashiCorp Vault; Microsoft Presidio (PII detection), AWS Macie, field-level KMS encryption; NIST AI RMF, GDPR, ISO 27001, SOC 2; Model cards, Fairlearn (bias evaluation), SHAP (explainability), audit logging</p></li></ul><p><b>
Why Join Us?</b></p><ul><li><p><i>
Work with one of the world&rsquo;s leading financial derivatives institutions.</i></p></li><li><p><i>
Competitive salary plus performance-based incentives.</i></p></li><li><p><i>
Access to a dynamic, international, and fast-growing environment.</i></p></li><li><p><i>
Strong opportunities for career progression within a global financial group.</i></p></li><li><p><i>
Be part of a business committed to innovation, excellence, and long-term growth.</i></p></li></ul><p><i>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.</i></p><p>
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</p></div>

Senior AI Architect

aQovia

<div><h3 class="jobSectionHeader"><b>Why Join Aqovia?</b></h3><p>
We don&rsquo;t just build software; we engineer impact. Aqovia is an international technology firm and strategic incubator creating real-world value through AI, data, and bespoke software solutions. By joining us, you&rsquo;ll work within an innovative ecosystem that shapes the industries of tomorrow.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
Aqovia is collaborating with regional government bodies to spearhead a transformative <b>AI Lab initiative throughout Pakistan</b>, deploying high-impact artificial intelligence training programs.</p><p>
We are seeking a <b>Curriculum Specialist</b> to architect and refine our learning frameworks. In this role, you will translate complex technical methodologies into structured educational content, ensuring seamless functionality within a Moodle LMS environment and full compatibility with our PHP/Laravel infrastructure.</p><h3 class="jobSectionHeader"><b>
What You Will Do</b></h3><ul><li><p><b>
Curriculum Design:</b> Architect robust educational content and learning pathways focused on Machine Learning, Data Science, and modern software engineering.</p></li><li><p><b>
LMS Optimization:</b> Adapt and structure pedagogical materials for effective delivery via the Moodle platform.</p></li><li><p><b>
Platform Alignment:</b> Partner with development squads to ensure content synchronizes smoothly with our bespoke PHP/Laravel software solutions.</p></li><li><p><b>
Assessment Creation:</b> Design engaging assessments and practical workshops within the virtual learning environment to drive student success.</p></li><li><p><b>
Stakeholder Collaboration:</b> Coordinate with government partners and internal technical specialists to ensure alignment with national standards, deadlines, and technical accuracy.</p></li></ul><h3 class="jobSectionHeader"><b>
What We Are Looking For</b></h3><h4 class="jobSectionHeader"><b>
Experience &amp; Qualifications:</b></h4><ul><li><p><b>
Technical Education:</b> Proven background as a technical educator or instructional designer within the technology sector.</p></li><li><p><b>
AI Knowledge:</b> Solid understanding of AI fundamentals, including data modeling and Python-based development workflows.</p></li><li><p><b>
LMS Expertise (Essential):</b> Strong proficiency in course management and structuring specifically for <b>Moodle</b>.</p></li><li><p><b>
Web Frameworks (Advantageous):</b> Familiarity with modern web framework delivery systems (<b>PHP/Laravel</b>).</p></li></ul><h4 class="jobSectionHeader"><b>
Skills &amp; Competencies:</b></h4><ul><li><p><b>
Communication:</b> Exceptional English communication and writing skills, with the ability to distill complex technical concepts into accessible learning materials.</p></li><li><p><b>
Project Management:</b> Strong organizational skills to manage deliverables against critical government timelines.</p></li><li><p><b>
Cultural Alignment:</b> Deep appreciation for the regional educational context and cultural landscape of Pakistan.</p></li></ul><h3 class="jobSectionHeader"><b>
What We Offer</b></h3><ul><li><p>
The opportunity to drive national progress through a high-visibility public sector AI project.</p></li><li><p>
A competitive remuneration package reflecting your expertise.</p></li><li><p>
An inclusive, innovative atmosphere where technology and public sector advancement intersect.</p></li></ul><h3 class="jobSectionHeader"><b>
Equal Opportunity Employer</b></h3><p>
At Aqovia, we believe engineering excellence is driven by diverse viewpoints. We welcome candidates from all backgrounds and are committed to maintaining an inclusive culture where everyone feels valued, respected, and empowered to excel.</p><p><b>
Ready to shape the future of tech education? Apply today.</b></p></div>

Curriculum Creator - LMS/EdTech

Altraq Computer Tech

<p>Head of Data Science</p><p><b>Location:</b> Salalah, Oman<br/><b>Company:</b> Altraq Computer Tech<br/><b>Position Type:</b> Full-time</p><p>About Altraq Computer Tech</p><p>Altraq Computer Tech is a technology-driven enterprise based in Salalah, dedicated to advancing digital innovation and data-driven solutions. We are seeking a visionary <b>Head of Data Science</b> to lead our analytics and AI initiatives, ensuring that data insights drive strategic decision-making and innovation across the organization.</p><p>Role Overview</p><p>The Head of Data Science will be responsible for building and leading a high-performing data science team, developing advanced models, and aligning data strategies with business objectives. This role requires strong technical expertise, leadership, and the ability to transform data into actionable intelligence.</p><p>Key Responsibilities</p><ul><li><b>Data strategy</b>: Define and execute the company&rsquo;s data science roadmap.</li><li><b>Advanced analytics</b>: Develop predictive and prescriptive models to support business growth.</li><li><b>Machine learning</b>: Architect and deploy scalable ML solutions.</li><li><b>Data governance</b>: Ensure data quality, compliance, and ethical use of AI.</li><li><b>Innovation leadership</b>: Evaluate emerging technologies and drive adoption of cutting-edge tools.</li><li><b>Collaboration</b>: Partner with stakeholders across IT, product, and business units.</li><li><b>Team leadership</b>: Build, mentor, and lead a world-class data science team.</li></ul><p>Qualifications</p><ul><li>Proven experience as a <b>Head of Data Science</b> or senior data leadership role.</li><li>Strong expertise in <b>machine learning frameworks</b> (TensorFlow, PyTorch, Scikit-learn).</li><li>Hands-on experience with <b>cloud data platforms</b> (AWS, Azure, Google Cloud).</li><li>Deep knowledge of <b>data engineering</b>, <b>MLOps</b>, and <b>AI ethics</b>.</li><li>Excellent leadership, communication, and strategic thinking skills.</li><li>Advanced degree (MSc/PhD) in Computer Science, Data Science, or related field preferred.</li><li>Relevant certifications in AI/ML or cloud platforms are highly desirable.</li></ul><p>Why Join Altraq Computer Tech?</p><ul><li>Lead transformative data science initiatives in Salalah.</li><li>Work in a collaborative, innovation-driven environment.</li><li>Competitive compensation and benefits.</li><li>Career growth with exposure to cutting-edge data science technologies.</li></ul><p>Pay: RO2,800.000 - RO4,000.000 per month</p><p>Work Location: In person</p>

Head of Data Science

Cenphix Capital

<p>Big Data Architect</p><ul><li><b>Organization:</b> Cenphix Capital</li><li><b>Work Location:</b> Raysut Zone 2, Salalah, Oman</li><li><b>Compensation:</b> OMR 2,200 Monthly (Flat Rate)</li></ul><p><b>Core Objective:</b> Tasked with constructing and deploying the enterprise data infrastructure at the Raysut Zone 2 facility. This technical role focuses on designing high-throughput data pipelines, managing distributed storage environments, and transforming raw analytics clusters into highly secure, production-grade pipelines.</p><p><b>Core Tasks:</b> * Model and deploy scalable data lake architectures and multi-tier warehouse solutions.</p><ul><li>Build, optimize, and maintain automated batch and real-time streaming ETL pipelines.</li><li>Govern cluster compute resources, ensuring low-latency query performance and efficient storage management.</li><li>Establish strict data security measures, encryption standards, and access control policies across all environments.</li><li>Interface with analytics teams to integrate data pipelines with predictive machine learning models.</li></ul><p><b>Technical Background:</b> * Academic degree in Computer Science, Data Engineering, or a parallel technical field.</p><ul><li>6+ years of active architecture experience handling big data technologies like Hadoop, Spark, or Kafka.</li><li>Deep expertise managing cloud data warehouses and orchestrating distributed databases.</li></ul><p>الراتب المدفوع: ﷼٢٬٢٠٠٫٠٠٠&nbsp;لكل شهر</p><p>موقع العمل: بشكل شخصي</p>

Big Data Architect

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern <b>LLM-based</b> methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are <b>reliable, secure, and scalable</b> in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.</p>
<p>As an Applied AI Engineer-Senior Associate within the Consumer &amp; Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p>
<p><b>Job Responsibilities</b></p>
<ul><li>Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li>
<li>Develops secure and high-quality production code, and reviews and debugs code written by others</li>
<li>Drives decisions that influence the product design, application functionality, and technical operations and processes</li>
<li>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li>
<li>Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li>
<li>Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture</li>
<li>Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions</li>
<li>Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies</li>
<li>Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics</li>
<li><p>Promote software and model quality, integrity, and security across the organization</p>
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p>
<ul><li>Undergraduate and master's degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
</li><li>Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments</li>
<li>Experience in machine learning frameworks, ML Ops tools and practices.
</li><li>Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)</li>
<li>Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
</li><li><p>Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)<b>
</b></p></li></ul><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p>
<ul><li><p>Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
</p></li></ul><p></p><b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><p></p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Applied AI ML-Senior Associate

Bayer

<p></p><div><p><b>At Bayer we&rsquo;re visionaries, driven to solve the world&rsquo;s toughest challenges and striving for a world where 'Health for all Hunger for none&rsquo; is no longer a dream, but a real possibility. We&rsquo;re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining &lsquo;impossible&rsquo;. There are so many reasons to join us. If you&rsquo;re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there&rsquo;s only one choice.</b></p><br>
<p></p>
<p><b>
Sr. Machine Learning Researcher, Domain-Aware Modeling &amp; Scientific Machine Learning</b></p><p></p><div><br>
<div>
<p>We are seeking a Sr. Machine Learning Researcher with strong expertise in the mathematical foundations of machine learning and scientific computing to develop next-generation domain-aware models for agriculture. This role sits at the intersection of applied mathematics, domain-aware modeling, and deep learning, with the goal of building models that respect and encode the underlying structure of biological and environmental systems. You will design principled, interpretable, and generalizable AI architectures that integrate scientific knowledge from genetics to crop physiology to environmental dynamics- into data-driven frameworks. Your work will directly enable transformative applications in genomic selection and genome editing target identification, accelerating the development of improved crop varieties worldwide.</p></div><div><br>
<p>
</p></div><div><p><b>YOUR TASKS AND RESPONSIBILITIES</b></p>
</div>
<div><p>The primary responsibilities of this role are:</p>
</div>
<div><ul><li><p>Scientific ML Model Development: Design, build, and validate domain-aware machine learning models (e.g., biology-informed, and hybrid mechanistic-statistical architectures) that incorporate prior scientific knowledge into learning algorithms for agricultural and genomic applications.</p>
</li>
</ul></div><div><ul><li><p>Mathematical Framework Design: Develop novel architectures and loss functions that embed biological constraints, conservation laws, symmetry properties, or known functional relationships into neural network training, ensuring physically and biologically consistent predictions.</p>
</li>
</ul></div><div><ul><li><p>Genomic Selection &amp; Editing Enablement: Architect models that leverage high-dimensional genomic, phenomic, and environmental data to predict complex trait outcomes, identify causal genetic variants, and prioritize genome editing targets with quantified uncertainty.</p>
</li>
</ul></div><div><ul><li><p>Uncertainty Quantification: Implement rigorous uncertainty quantification frameworks (Bayesian deep learning, ensemble methods, probabilistic surrogate models) to provide decision-makers with calibrated confidence estimates on model predictions.</p>
</li>
</ul></div><div><ul><li><p>Interdisciplinary Collaboration: Partner with geneticists, plant biologists, agronomists, environmental scientists, and software engineers to translate domain expertise into model architecture decisions and validate model outputs against biological ground truth.</p>
</li>
</ul></div><div><ul><li><p>Scalable Deployment: Work with engineering and IT teams to transition research prototypes into production-grade models integrated within breeding and discovery pipelines, ensuring reproducibility, scalability, and maintainability.</p>
</li>
</ul></div><div><ul><li><p>Research Contribution: Contribute to publications in leading venues, participate in the internal scientific community, and stay at the frontier of scientific machine learning methodology.</p>
</li>
</ul></div><div><ul><li><p>Documentation &amp; Communication: Prepare comprehensive technical documentation, present findings to both technical and non-technical stakeholders, and build organizational trust in AI-driven decision-making.</p></li></ul><br>
</div>
<p></p><div><p><b>WHO YOU ARE</b></p>
</div>
<div><p>Bayer seeks an incumbent who possesses the following:</p></div><div><br>
<p>
</p></div><div><p>Required:</p>
</div>
<div><ul><li><p>PhD in one of the following or closely related fields:</p>
</li>
</ul></div></div><div><div><ul><li><div><ul><li><p>Machine Learning / Deep Learning</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Applied Mathematics</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Computational Science &amp; Engineering</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Physics</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Chemical, Mechanical, or Biomedical Engineering</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Computer Science (with scientific computing or numerical methods focus)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Statistics / Probabilistic Modeling</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Another related quantitative discipline with demonstrated depth in mathematical modeling</p>
</li>
</ul></div></li></ul></div><div><ul><li><p>Demonstrated research output (publications, thesis work, or applied projects) in scientific machine learning, numerical methods for differential equations, or data-driven modeling of physical/biological systems.</p>
</li>
</ul></div><div><ul><li><p>Proficiency in modern deep learning frameworks (PyTorch, JAX, or TensorFlow) and scientific computing libraries.</p>
</li>
</ul></div><div><ul><li><p>Experience formulating and solving problems involving high-dimensional, structured, or multi-modal data.</p>
</li>
</ul></div><div><ul><li><p>Strong communication skills and willingness to collaborate across disciplines.</p></li></ul><br>
</div>
<p></p><div><p>Preferred:</p>
</div>
<div><ul><li><p>5+ years post-PhD relevant experience</p>
</li>
</ul></div><div><ul><li><p>Demonstrated experience with one or more of the following domain-aware modeling paradigms:</p>
</li>
</ul></div><div><ul><li><div><ul><li><p>Physics-Informed Neural Networks (PINNs)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Biology-Informed Neural Networks (BINNs) / Visible Neural Networks (VNNs)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Neural Ordinary/Partial Differential Equations (Neural ODEs/PDEs)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Operator learning methods (e.g., DeepONet, Fourier Neural Operator)</p>
</li>
</ul></div></li></ul></div></div><div><div><ul><li><div><ul><li><p>Hybrid mechanistic&ndash;data-driven models</p>
</li>
</ul></div></li></ul></div><div><ul><li><p>Experience with Bayesian inference, Gaussian processes, hierarchical models, or probabilistic programming.</p>
</li>
</ul></div><div><ul><li><p>Familiarity with nonlinear dynamics, dynamical systems theory, or systems biology modeling.</p>
</li>
</ul></div><div><ul><li><p>Background in surrogate modeling, model reduction, or multi-fidelity methods.</p>
</li>
</ul></div><div><ul><li><p>Exposure to genomics data structures (e.g., variant matrices, linkage disequilibrium, population genetics) or quantitative genetics (e.g., genomic BLUP, marker-effect models) - not required, but valued.</p>
</li>
</ul></div><div><ul><li><p>Experience deploying ML models into production environments (MLOps, containerization, cloud-based HPC).</p>
</li>
</ul></div><div><ul><li><p>Experience collaborating in interdisciplinary research teams spanning experimental and computational scientists.</p>
</li>
</ul></div><div><ul><li><p>Familiarity with ensemble methods, gradient-boosted models, kernel methods, or classical statistical learning as complementary tools.</p></li></ul><br>
</div>
<p></p><div><p>Employees can expect to be paid a salary of approximately $120k-170k. Additional compensation may include a bonus or incentive program (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant&rsquo;s location, market data/ranges, an applicant&rsquo;s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.</p></div><div><br>
<p>
</p></div><div><p>This posting will be available for application until at least 6/26/26.</p></div><br>
</div><div>
<div></div><div><br>
<div><div><b>YOUR APPLICATION</b></div><br>
<div></div>
</div><br>
<br>
</div></div><div></div><div><div><div><div><p>Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.<br>
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.<br>
<br>
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Sr. Machine Learning Researcher, Domain-Aware Modeling & Scientific Machine Learning

Interact Technology Solutions

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Senior AI Data Engineer
 </strong>
 is responsible for designing, building, and optimizing enterprise-scale data and AI infrastructure to support machine learning models, generative AI applications, and real-time analytics. The role drives the development of end-to-end data pipelines, from ingestion to production-ready AI data products, ensuring scalability, performance, and compliance across multi-cloud environments.
 <br/>
 <br/>
 <strong>
  Accountability &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable ETL/ELT data pipelines using modern data engineering tools (e.g., Apache Spark, dbt).
  </li>
  <li>
   Architect and implement Lakehouse data platforms (Delta Lake, Apache Iceberg, Apache Hudi) following Medallion architecture (Bronze/Silver/Gold).
  </li>
  <li>
   Develop real-time streaming pipelines using Apache Kafka, Apache Flink, and Spark Structured Streaming.
  </li>
  <li>
   Build and optimize AI/GenAI data pipelines for LLM training, fine-tuning, and inference (tokenization, dataset curation, prompt engineering datasets).
  </li>
  <li>
   Design and implement Retrieval-Augmented Generation (RAG) pipelines, including embedding workflows and vector database integration.
  </li>
  <li>
   Manage feature stores for real-time and batch machine learning use cases.
  </li>
  <li>
   Integrate data pipelines with AI/ML platforms (Databricks MLflow, Azure ML, AWS SageMaker, Vertex AI, OpenAI/Azure OpenAI).
  </li>
  <li>
   Implement data orchestration workflows using Apache Airflow or similar tools with CI/CD pipelines.
  </li>
  <li>
   Ensure data quality, governance, and security using frameworks such as Great Expectations and data catalog tools.
  </li>
  <li>
   Deploy and manage infrastructure using Infrastructure-as-Code tools (Terraform, Bicep, CDK).
  </li>
  <li>
   Collaborate with Data Scientists, ML Engineers, and Solution Architects to deliver production-ready AI solutions.
  </li>
  <li>
   Lead technical design decisions, mentor junior engineers, and contribute to data platform strategy.
  </li>
  <li>
   Maintain documentation, data contracts, and operational runbooks for all pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  1
 </strong>
 &ndash; Required Experience
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.
  </li>
  <li>
   4&ndash;5 years of experience in data engineering, with strong exposure to AI/ML data infrastructure.
  </li>
  <li>
   Proven experience building scalable data pipelines and working with large-scale datasets.
  </li>
  <li>
   Hands-on experience with AI/ML platforms and modern data architectures.
  </li>
  <li>
   Experience in regulated industries (e.g., Banking, Telecom, Healthcare) is a plus.
  </li>
  <li>
   Strong problem-solving, analytical thinking, and communication skills.
  </li>
  <li>
   Experience working in cross-functional teams and agile environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  2&ndash; Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong SQL and advanced data modeling techniques
  </li>
  <li>
   Apache Spark (PySpark, Spark SQL, Streaming)
  </li>
  <li>
   Python (pandas, PySpark, data processing libraries)
  </li>
  <li>
   Data pipeline orchestration (Apache Airflow)
  </li>
  <li>
   CI/CD for data pipelines (GitHub Actions / Azure DevOps)
  </li>
  <li>
   Lakehouse architectures (Delta Lake / Iceberg / Hudi)
  </li>
  <li>
   Streaming technologies (Kafka, Flink)
  </li>
  <li>
   Cloud platforms (AWS / Azure / GCP)
  </li>
  <li>
   Vector databases (Pinecone, Weaviate, pgvector, OpenSearch)
  </li>
  <li>
   RAG pipeline design and LLM data processing
  </li>
  <li>
   Infrastructure-as-Code (Terraform / Bicep / CDK)
  </li>
  <li>
   Containers (Docker, Kubernetes)
  </li>
  <li>
   Data quality &amp; governance tools
  </li>
 </ul>
</div>


Senior AI Data Engineer

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