data engineer

ai automation engineer

ai platform engineer

analytics engineer ii

application engineer

data pipeline engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

Accenture

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry experience, leading-edge technologies, and a global delivery network, Accenture helps organizations accelerate innovation and drive meaningful transformation. By combining data, intelligence, and advanced engineering capabilities, we enable our clients to build scalable, high‑quality data solutions that power business decisions and operational excellence. Visit us at www.accenture.com.
 
 
 
 The Work:
 
 
 
 As a
 
 Data Engineer
 
 , you will be responsible for designing, building, and maintaining robust data solutions that support data generation, collection, migration, and processing across enterprise systems. You will play a key role in developing scalable data pipelines, ensuring data quality, and implementing ETL processes to enable reliable data movement and analytics. This role requires strong technical expertise, ownership of team decisions, and close collaboration with multiple stakeholders to deliver impactful, cross‑team solutions.
 
 
 
 Responsibilities:
 
 
 
 
 <li>
 Design, develop, and maintain end-to-end data pipelines to support data ingestion, transformation, and deployment across systems.
 
 </li>
 <li>
 Implement and manage ETL processes to ensure efficient and reliable data migration and processing.
 
 </li>
 <li>
 Ensure high standards of data quality, consistency, and integrity through continuous monitoring and optimization.
 
 </li>
 <li>
 Act as a subject matter expert, providing technical guidance and contributing to key architectural and design decisions.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective, scalable data solutions.
 
 </li>
 <li>
 Lead and support the team to ensure effective execution, timely delivery, and alignment with business objectives.
 
 </li>
 <li>
 Develop innovative data solutions that improve operational efficiency and enable data-driven decision-making.
 
 </li>
 <li>
 Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular data quality assessments and implement continuous improvements.
 
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in data engineering.
 
 
 
 </li>
 
 Qualifications:
 
 
 
 
 <li>
 minimum 10 Years of experience.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI) is required.
 
 </li>
 <li>
 Master proficiency in Data Migrations is highly recommended.
 
 </li>
 <li>
 Expert proficiency in Data Engineering, Data Pipelines, Data Processing, and Data Access is strongly preferred.
 
 </li>
 <li>
 Strong analytical, problem-solving, and collaboration skills, with the ability to work across multiple teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Manager

United for Aviation Technology Services

<div>
 
 United ITS is expanding its aviation software engineering team.
 
 
 We build high-reliability software systems supporting aviation operations, airspace control, and training environments.
 
 
 We are seeking a Senior Backend .NET Core Engineer to own and architect the integration layer powering real-time operational systems.
 
 
 This role is responsible for backend architecture, system integration, API gateway design, and ensuring reliable communication between control platforms and external engines.
 
 
 
 
 
 
 
 Key Responsibilitie
 
 
 <ul>
 <li>
 sDesign and implement scalable ASP.NET Core API
 </li>
 <li>
 sArchitect and implement Microservices-based backend system
 </li>
 <li>
 sDesign and manage API Gateway layers for secure and scalable service exposur
 </li>
 <li>
 eDevelop real-time communication layers (REST, WebSocket, event-driven patterns
 </li>
 <li>
 )Own integration services and command/event processing pipeline
 </li>
 <li>
 sDesign data models and optimize performance using PostgreSQL and PostGI
 </li>
 <li>
 SEnsure thread safety, concurrency control, and high-availability architectur
 </li>
 <li>
 eCollaborate closely with frontend, desktop, DevOps, and infrastructure team
 </li>
 </ul>
 
 
 
 
 
 s
 
 Required Qualificatio
 
 
 <ul>
 <li>
 ns4+ years of experience with .NET / ASP.NET Co
 </li>
 <li>
 reStrong experience with Microservices architecture and distributed syste
 </li>
 <li>
 msHands-on experience with API Gateway design and implementati
 </li>
 <li>
 onStrong expertise in PostgreSQL, including performance tuni
 </li>
 <li>
 ngExperience working with PostGIS for spatial or geospatial data handling is highly preferr
 </li>
 <li>
 edDeep understanding of async programming, multithreading, and concurrency contr
 </li>
 <li>
 olExperience designing integration layers or middleware syste
 </li>
 <li>
 msSolid knowledge of API security, authentication (JWT/OAuth2), and system architecture patter
 </li>
 <li>
 nsExperience working with mission-critical or real-time systems is highly preferr
 </li>
 </ul>
 
 
 
 ed
</div>

Senior .NET Engineer

FlapKap

<div>
 
 Role Purpose: (Why This Role Exists)
 
 
 
 As an Cold Caller at FlapKap, you are the engine of our top-of-funnel growth. Your mission is to identify, engage, and qualify the right merchant prospects &mdash; converting cold outreach into qualified, meeting-ready opportunities for our Business Development Representatives (BDRs) to close. You are not just filling a calendar; you are building the pipeline that funds FlapKap's next growth chapter.
 
 
 
 Success Definition (What Great Looks Like)
 
 
 In the first 1-3 months, success means:
 
 
 
 <ul>
 <li>
 Completed onboarding: mastered FlapKap's product suite, ideal customer profile (ICP), and core messaging across all target verticals
 </li>
 <li>
 Running a consistent outbound cadence of 90+ daily activities (calls, emails, LinkedIn) with a structured, data-driven approach
 </li>
 <li>
 Booked your first 50+ qualified meetings for BDRs with accurate and insightful handoff notes
 
 
 </li>
 </ul>
 
 In The First 12 Months, Success Means
 
 
 
 <ul>
 <li>
 Consistently hitting or exceeding monthly quotas for qualified meetings booked and pipeline generated
 </li>
 <li>
 Demonstrated measurable improvement in call-to-meeting and meeting-to-opportunity conversion ratios
 </li>
 <li>
 Recognized as a key pipeline contributor &mdash; a trusted partner to the BDR team with a reputation for quality over quantity
 
 
 </li>
 </ul>
 
 Core Responsibilities: (List 6-10 outcome-focused responsibilities):
 
 
 
 <ul>
 <li>
 Outbound Prospecting &amp; Lead Generation:
 </li>
 <li>
 Build and maintain a targeted prospect list across FlapKap's key verticals: F&amp;B, Clinics, Retail, and B2B
 </li>
 <li>
 Research target accounts to identify key decision-makers (owners, GMs, Finance Directors) and understand their business context
 </li>
 <li>
 Execute high-volume outbound outreach via cold calling, personalised email sequences, and LinkedIn social selling
 </li>
 <li>
 Discovery &amp; Qualification:
 </li>
 <li>
 Conduct structured discovery calls using BANT and SPIN frameworks to assess prospect fit, urgency, and buying intent
 </li>
 <li>
 Qualify leads against FlapKap's ICP criteria including revenue threshold, operational history, and sector eligibility
 </li>
 <li>
 Meeting Booking &amp; BDR Handoff
 </li>
 <li>
 Schedule high-quality qualified meetings for BDRs, ensuring smooth handoff with detailed context on the prospect's profile and pain points
 </li>
 <li>
 Maintain a strong show rate by confirming and reminding prospects ahead of scheduled meetings
 </li>
 <li>
 CRM &amp; Reporting:
 </li>
 <li>
 Log all activities, conversations, and pipeline updates accurately in the CRM (HubSpot)
 </li>
 <li>
 Provide weekly activity reports and conversion metrics to the Head of Sales
 </li>
 <li>
 Market Intelligence &amp; Continuous Learning:
 </li>
 <li>
 Stay current on industry trends, competitor offerings, and FlapKap product updates to sharpen messaging
 </li>
 <li>
 Share prospect feedback and market signals with the product and credit teams to improve targeting
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 +1 years of experience in an SDR, BDR, or outbound sales role &mdash; fintech, SaaS, or B2B services strongly preferred
 </li>
 <li>
 Proven track record of meeting or exceeding outbound activity and meeting-booking quotas
 </li>
 <li>
 Hands-on experience with high-volume cold calling and multi-channel outbound sequences (email + phone + LinkedIn)
 </li>
 <li>
 Solid working knowledge of sales qualification frameworks such as BANT and SPIN
 </li>
 <li>
 Experience using a CRM platform (HubSpot, Salesforce, or similar) to manage pipeline and report on activity
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive Salaries
 </li>
 <li>
 Paid time off
 </li>
 <li>
 Healthcare coverage
 </li>
 <li>
 A highly collaborative team environment that will support your professional and personal growth
 </li>
 <li>
 A culture that promotes Work-Life balance and Wellbeing
 </li>
 <li>
 A culture of learning and innovation
 </li>
 </ul>
</div>

Cold Caller/ Sales Opener I USD pay

Whitehall Resources

<div>
 
 
 
 Senior IoT Solutions Engineer
 
 
 
 
 An exciting new
 
 Senior IoT Solutions Engineer
 
 opportunity has arisen, working for a leading organisation investing in the next generation of connected products and smart technology solutions.
 
 
 In this role, you will play a key part in designing, developing and supporting scalable IoT platforms. You'll work across the full IoT lifecycle, helping to deliver innovative connected solutions used in commercial environments.
 
 
 If you are an experienced IoT Engineer with strong cloud, integration and data platform expertise, we would love to hear from you!
 
 
 
 
 Do you have:
 
 
 
 <ul>
 <li>
 5+ years' experience designing and delivering enterprise IoT solutions
 </li>
 <li>
 Strong experience with IoT platforms, and cloud-based architectures
 </li>
 <li>
 Experience with Azure IoT or similar cloud IoT platforms
 </li>
 <li>
 Hands-on experience with REST APIs, MQTT, Kafka and event-driven integration patterns
 </li>
 <li>
 Experience working with SQL databases
 </li>
 <li>
 Deep understanding of commercial IoT use cases
 </li>
 <li>
 Experience integrating IoT platforms with enterprise applications, data platforms and analytics solutions
 </li>
 <li>
 Excellent problem-solving skills with experience troubleshooting connectivity and performance issues
 </li>
 </ul>
 
 
 
 Do you want:
 
 
 
 <ul>
 <li>
 To play a key role in the design and evolution of enterprise IoT platforms?
 </li>
 <li>
 To work with modern cloud, data and integration technologies?
 </li>
 <li>
 To collaborate with international engineering, data and product teams?
 </li>
 <li>
 To be part of exciting projects delivering connected products at scale?
 </li>
 </ul>
 
 
 If so, then please do apply!
 
 
 
 
 IoT | Azure | MQTT | Kafka | REST API | Event-Driven Architecture | Cloud Integration | SQL | Python | JavaScript | Node.js
 
 
</div>

Senior IoT Solutions Engineer

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 How you&rsquo;ll work
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Engineer

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