product manager

project manager

sales manager

marketing specialist

principal ai engineer

principal product manager

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 
 Job Summary
 
 
 
 We are seeking a passionate and talented
 
 Product Manager
 
 to join our dynamic team.
 
 
 The ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and execute a comprehensive product strategy aligned with market needs and company goals
 </li>
 </ul>
 <ul>
 <li>
 Conduct market research and competitive analysis to identify opportunities and inform positioning
 </li>
 <li>
 Collaborate closely with marketing, sales, medical affairs, and supply chain teams to optimize promotional strategies, support educational initiatives, and maintain product availability
 </li>
 <li>
 Manage relationships with key stakeholders such as healthcare professionals, regulatory bodies, and distributors to gather insights, address concerns, and support product adoption
 </li>
 <li>
 Lead product lifecycle management initiatives by identifying areas for product enhancement, planning line extensions, or preparing for potential phase-outs based on market and competitive dynamics
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's in pharmacy, Medicine, or relevant life sciences; MBA is a plus
 </li>
 <li>
 2-4 years of experience as Brand/Assistant Brand Manager in the pharmaceutical industry, preferably with injectables, diabetes, metabolic, or obesity products
 </li>
 <li>
 Strong expertise in consumer (DTC) and HCP integrated campaigns, with proven marketing excellence
 </li>
 <li>
 Proficient in English &amp; Arabic (written and verbal) with strong strategic, digital, and innovation focus
 </li>
 <li>
 Demonstrated success in launch readiness, brand building, and consumer marketing capability
 </li>
 </ul>
</div>

Product Manager

Majid Al Futtaim

<div>
 
 
 JOB TITLE
 
 
 
 Product Manager | MAF Retail | Retail Corporate Egypt
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The Product Manager is responsible for executing and refining strategic product initiatives as a crucial role in the product development process within Majid Al Futtaim Retail Digital, conducting thorough market research to identify emerging trends, customer needs, and competitive products, playing a pivotal role in shaping the product roadmap.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Executing and refining the respective product vision and strategy for MAF Retail digital.
 </li>
 <li>
 Contribute to the entire product lifecycle, from conceptualization and discovery to implementation.
 </li>
 <li>
 Develop and manage product roadmaps, ensuring alignment with company goals.
 </li>
 <li>
 Informed decision making based on data analysis, product discovery, and various product testing strategies like AB, MVT etc.
 </li>
 <li>
 Ensure product discovery and data analysis to elevate business metrics and positive ROI.
 </li>
 <li>
 Establish and maintain strong partnerships with key stakeholders, including engineering, marketing, design and business teams.
 </li>
 <li>
 Assist in creating and maintaining product documentation and user guides
 </li>
 <li>
 Perform regular audit of various processes for the Product &amp; Design function to identify gaps and risks, and propose corrective actions.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 Bachelor's degree in business or a related field
 </li>
 <li>
 at least 5 years of proven experience in product management within a tech or e-commerce company is highly desirable
 </li>
 <li>
 Experience and expertise in customer domain especially Loyalty, subscription program is preferable.
 </li>
 <li>
 Preferably 2+ years in the retail/e-Commerce business or closely related industry
 </li>
 <li>
 Basic understanding of e-commerce concepts and technologies.
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
</div>

dopay

<div>
 
 Ready to Revolutionize Payroll? Join dopay as a Product Manager!
 
 
 
 Are you passionate about transforming financial landscapes and driving digital payment solutions? At dopay, we're leading the charge with our dopay card, championing financial inclusion and employee well-being, first in Egypt, and soon in other markets. With strong investor backing and rapid growth, we're looking for dynamic changemakers to help us tackle exciting challenges and seize new growth opportunities.
 
 
 
 About the Role:
 
 
 
 As a Product Manager at dopay, you'll play a pivotal role in driving our B2B2C strategy, focusing on growth through the entire customer funnel. Leveraging insights provided by our product marketing team, you will work to convert corporate leads and ensure seamless financial transactions for employees using the dopay card. Your mission will be to innovate and optimize solutions that expand our active user base.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Drive Product Development: Own the product roadmap for activation and engagement strategies, ensuring alignment with dopay's overarching product vision and market needs
 </li>
 <li>
 Leverage Market Insights: Utilize qualitative and quantitative research insights to enhance onboarding, activation, and engagement strategies
 </li>
 <li>
 Define and Measure Product Metrics: Establish and track key metrics to derive actionable insights, driving product improvements and enhancing user experiences
 </li>
 <li>
 Lead Cross-Functional Collaboration: Work closely with marketing, sales, customer success, logistics, call center, technology, product, and design teams to accelerate product delivery and foster innovation
 </li>
 <li>
 Iterate on Product Hypotheses: Collaborate with our marketing team to test and refine product hypotheses, iterating towards solutions that align with user needs and business objectives
 </li>
 <li>
 Focus on Internal Feedback: Gather and analyze data from internal sources, such as user behavior analytics, sales feedback, and customer support interactions, to drive continuous improvement
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What We're Looking For:
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor's degree in Economics, Finance, Computer Science, or a related field
 </li>
 <li>
 Product Management Experience: At least 5 years of hands-on experience in a dynamic technology startup or scale-up environment
 </li>
 <li>
 Expertise in User Journeys: Proven track record in managing product funnels, driving conversions, and achieving success metrics
 </li>
 <li>
 Analytical and Visual Communication Skills: Proficiency in interpreting customer data and using tools such as wireframes to communicate ideas effectively
 </li>
 <li>
 Collaborative Team Player: Ability to work effectively across teams, with exceptional attention to detail and a proactive approach to problem-solving
 </li>
 <li>
 Full Product Lifecycle Management: Experience in managing the full product cycle, from concept to post-deployment optimization
 </li>
 <li>
 Systematic Thinker: Ability to understand complex systems and customer journeys within a broader market context
 </li>
 <li>
 Multilingual Communication Skills: Excellent command of Arabic and English, with additional languages being a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Why Join dopay?
 
 
 <ul>
 <li>
 Be part of a mission-driven company committed to making a real impact on financial inclusion in emerging markets
 </li>
 <li>
 Work in a dynamic and innovative environment where you can drive change and contribute to growth
 </li>
 <li>
 Collaborate with a talented and diverse team across multiple regions
 </li>
 <li>
 Competitive salary and benefits package
 
 
 </li>
 </ul>
 dopay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
</div>

Finaira

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers.
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions.
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.
 
 
 
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
</div>

Principal AI Engineer

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 
 
 
 
 
 We are looking for a highly skilled and experienced Product Manager &ndash; Visual Analytics who will lead and drive Enterprise Reporting Transformation (EIT) and Cross-Functional Reporting Initiatives across Coca-Cola HBC. The role ensures alignment of reporting products, governance, and standards across functions by collaborating with business stakeholders, DTPS teams, Product Managers, and key external partners. The ideal candidate will be accountable for delivering high quality, scalable and standardized BI reporting solutions, driving adoption, ensuring data quality, and enabling CCH's long term strategic goals through cross-functional, enterprise wide reporting transformation.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Ensure the product/ business solutions are fully meeting business needs at optimal cost with maximized return on investment and secure alignment with Group functional teams and relevant stakeholders in this ROI optimization.
 </li>
 <li>
 Ensure that KBIs across relevant end to end process are following standard definitions and ensure KBI improvement working with function stakeholders.
 </li>
 <li>
 Work within the product budget established in consultation with business sponsors
 </li>
 <li>
 Define the product roadmap based on business outcomes, taking in consideration business requirements and business processes incl. process controls etc.
 </li>
 <li>
 Assess, prioritize and approve change requests as part of end to end product lifecycle responsibility.
 </li>
 <li>
 Take accountability of risk assessment, crisis management and Business continuity plans for the area of responsibility.
 </li>
 <li>
 Perform competitive analysis on the alternatives that target customers might use, so as to understand what capabilities and qualities the product must have to attract customers away from those alternatives
 </li>
 <li>
 Remain aware of the market, seek feedback and input from stakeholders and use as opportunities to improve current or introduce new services/systems
 </li>
 <li>
 Coordinate with Functional Architect to align product architectures
 </li>
 <li>
 Coordinate with Scrum Masters to support for delivery of projects related to scope of Product
 </li>
 <li>
 Proactively identify the specific needs of the internal customer and the opportunities for change in business processes and strive to translate them in valuable solutions;
 </li>
 <li>
 Ensure that customers&rsquo; needs are understood, expectations are managed, and customer satisfaction targets are achieved or exceeded.
 </li>
 <li>
 Work effectively with a wide range of teams &mdash; from business leaders to DTPS teams&mdash; driving product success through lean and agile delivery.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 5+ years relevant operational experience in BI Reporting area, with hands-on experience within more than one domain from (Finance, Legal, People &amp; Culture, Commercial and Supply Chain).
 </li>
 <li>
 Service design experience
 </li>
 <li>
 Successfully completed full project cycle for Key Strategic or Group Projects
 </li>
 <li>
 University Degree in a relevant area
 </li>
 <li>
 Strong project management skills; relevant qualifications and certifications in the area of Project Management, Agile /Scrum, SAFe for Product Owner/Product Manager is considered an advantage.
 </li>
 <li>
 Strong vendor management skills, knowledge and experience in vendor selection, contracting, collaboration
 </li>
 <li>
 Qualifications and certifications in BI Reporting products (especially Power BI).
 </li>
 <li>
 Strong knowledge and experience with MS Azure, ServiceNow, DevOps is considered an advantage.
 </li>
 <li>
 Strong FMCG business process expertise in Commercial, with foundational knowledge across Finance, Supply Chain, and HR reporting, including familiarity with data sources such as SAP ERP, S/4HANA, and SAP BW.
 </li>
 <li>
 Proven ability to work in a multi-cultural environment
 </li>
 <li>
 Strong communication and influencing skills
 </li>
 <li>
 English proficiency
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Product Manager - Visual Analytics

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>
 8&ndash;10 years total software/ML engineering experience, with 5+ 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>

Principal Machine Learning Engineer

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Product Manager

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Product Manager

Principal AI Engineer

Principal AI Engineer

Product Manager - Visual Analytics

Principal Machine Learning Engineer