Senior Data Scientist - Machine Learning

Specification Manager

Sr. R&D Product DVL Engineer

Business Development Manager Notbeleuchtung

Intermediate / Senior Data Engineer

Data Engineer

Staff Software Engineer

Senior Software Engineer 2

Product Pricing Analyst

Account Executive - Architecture

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: Pacific Region Specification Activity management <ul><li>Identify upcoming projects in the market</li><li>Reach and influence decision makers involved in those projects to specify the technical features of our products</li><li>Follow-up on the project in its different stages (specification, pricing &amp; budget, order, supply chain, etc).</li><li>Completion of specification sheets</li><li>Provide technical support and training during prescription seminars and fairs</li></ul> Business Development &amp; Specification for Project Business <ul><li>Create and/or update a regional map of stakeholders in the area (consultants, contractors, end users, distributors, etc) and their market focus (industry, IT, etc)</li><li>Work as a hunter, to generate and follow-up on leads, to boost the project pipeline and create interest</li><li>Be involved and supportive in the pre-sales phases (compliance, technical comparison, BOQ creation, counter objections, etc.)</li></ul> Support Specification Marketing actions &amp; tools <ul><li>Support product launches</li><li>Participate in marketing actions</li><li>Assist with market data pricing analysis</li><li>Platforming of accounts and account management planning</li></ul> Performance plan and KPI’s <ul><li>Identify spec-in action plans, target and flag corresponding accounts in SalesForce</li><li>Link opportunities to the selected action plans&nbsp;and the corresponding data</li><li>Update and follow KPI’s for specification effort</li></ul> Requirements:&nbsp;<ul><li>Degree in Engineering and/or a strong electrical trade background in the commercial or industrial space</li><li>Minimum of 2 years of professional experience in specifying in the electrical engineering industry</li><li>Good understanding of low voltage distribution &amp; applications</li><li>Demonstrates substantial experience within the electrical low voltage market, complemented by a well-established local network that includes panel builders, M&amp;E consultants, electrical contractors and end users.</li><li>Prioritises product offer specification, working closely with consultants and large end users, with a particular emphasis on the Data Centre (DTC) segment.</li><li>Acts as a highly strategic, commercially driven sales leader, with a proven knowledge and history of success in the Pacific DTC segment.</li><li>Possesses a robust technical background, especially in critical power systems, which is essential for the role.</li><li>Is capable of leveraging key contacts and decision makers to benefit the organization.</li><li>Effectively operates in a matrix environment, collaborating with local PCO and PSM sales and technical engineering leads, as well as the regional key account team, to strengthen the company’s presence and install base in the Pacific.</li><li>Additionally, works closely with our Pacific (PSM Partner) to develop a comprehensive offer strategy</li></ul>

Responsibilities: <ul><li>Understand Mechanical, Electrical, Environmental, and other requirements to design and develop next-generation electrical interconnect products to support the team’s focus within Outdoor LED Lighting and harsh environment connectivity.&nbsp;</li><li>Handle all aspects involved in New Product Development process from initial requirements gathering to production phase.&nbsp;</li><li>Generate concepts and detailed designs using development methods such as DFMEA, Tolerance Analysis, DFSS, etc.&nbsp;</li><li>Coordinate the execution of design validation product testing and certification according to international standards.&nbsp;</li><li>Design and documentation of precision stamped and molded electromechanical component assemblies.&nbsp;</li><li>De-risk product design by initiating and/or performing FEM and support analysis for critical items.&nbsp;</li><li>Engage directly with customers to clearly present designs for technical review and comment.&nbsp;</li><li>Optimize product designs for cost-efficient and high-quality manufacturing (DFM).&nbsp;</li><li>Utilize Design to Value (DTV) methodology to optimize product cost to increase product competitiveness.&nbsp;</li><li>Review and comment on First Article Approvals, Process Capability Studies, 8D reports, and other quality product analyses.&nbsp;</li><li>Work with Product Lifecycle Management, engineering documentation, and change management systems.&nbsp;</li><li>Engage with multi-functional global project teams consisting of Sales, Product Management, Project Management, Operations/Manufacturing, Quality, Global Product Approvals, and Outside Vendors.&nbsp;</li><li>Troubleshoot design issues during testing and production startup.&nbsp;</li></ul> Requirements: What Your Background Should Look Like&nbsp; <ul><li>Proven experience using 3D CAD design tools (Creo experience is a plus).&nbsp;</li><li>Experienced in Microsoft Office applications.&nbsp;</li><li>Knowledge of LEAN Product Development Cycle and Processes.&nbsp;</li><li>Experience in design of small plastic or metal components.&nbsp;</li><li>Basic knowledge in the selection of plastic or metal base materials and evaluation of material properties.&nbsp;</li><li>Demonstrated knowledge and use of finite element modeling/analysis to enable design refinement (Ansys experience preferred).&nbsp;</li><li>Ability to interact with customers to gather needs, transfer into technical requirements, and deliver conceptual solutions.&nbsp;</li><li>Ability to communicate effectively and accurately across multi-cultural groups.&nbsp;</li><li>Self-motivated, adaptive, passionate about results, and a good team player.&nbsp;</li><li>Strong technical aptitude with willingness to learn new technologies quickly.&nbsp;</li><li>Demonstrated experience of working in a fast-paced/changing environment&nbsp;</li><li>with the ability to work to tight deadlines, changing priorities, and multiple projects.&nbsp;</li><li>Knowledge of Global Certifications and Regulatory Standards (UL, IEC, etc.) is an added advantage.&nbsp;</li><li>Fluent communication and presentation skills in English.&nbsp;</li><li>Knowledge in basic quality techniques and engineering change management.&nbsp;</li><li>Experience in design of experiments/test plan development to support design validation activities.&nbsp;</li><li>7+ years minimum experience working in an engineering capacity.&nbsp;</li><li>Bachelor’s or Master’s Degree in an engineering field (Mechanical Engineering preferred).</li><li>Domestic travel may be required.</li></ul>

Responsibilities: <ul><li>Responsibility for revenue growth and the implementation of the profit plan (end-to-end)</li><li>Defining and implementing strategic initiatives for growth, while staying informed about industry trends and market activities and working closely with the countrys sales organizations (CSO).</li><li>Developing existing customers by building and maintaining relationships with key decision-makers, understanding their needs, and providing tailored solutions.</li><li>Identifying and promoting new business opportunities in the region, including product development needs</li><li>Fostering partnerships with a strong focus on customer engagement / meetings / events</li><li>Close collaboration with the product line and operational teams to achieve sales targets and strategic initiatives.</li><li>Implementation and management of customer/CSO pricing strategies</li><li>Adoption and implementation of our client standard processes (e.g., Salesforce and Pipeline CRM tools)</li></ul> Requirements:&nbsp; Qualifications and Skills: <ul><li>Bachelors degree (business or preferably technical) or equivalent qualification expected&nbsp;</li><li>Extensive experience in the commercial emergency lighting market or in a similar industry</li><li>Commercial experience in dealing with major clients, EGH, etc.</li><li>Good knowledge of the technical solutions and standards for emergency lighting</li><li>Proven success in customer engagement / customer satisfaction</li><li>Analytical thinking skills; their actions meet the highest ethical standards.</li><li>Structured and goal-oriented work method</li><li>Convincing negotiation skills, coordination skills</li><li>Excellent oral and written communication skills in German and English.</li><li>They are a team player and at the same time able to plan and implement their own work initiatives.</li><li>Good presentation skills</li></ul>&nbsp;

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Responsibilities:&nbsp; <ul><li>Lead the architecture and design efforts, aligning with future scalability and business objectives.</li><li>Provide mentorship, set technical direction, and drive excellence in the team.</li><li>Establish technical roadmap with cross-functional teams and stakeholders, ensuring alignment with business objectives.</li><li>Simplify and break down complex requirements into manageable deliverables and milestones through development of technical specifications.</li><li>Ensure deliverables meet the functional and non-functional criteria, and drive changes proactively where outcomes are misaligned.</li><li>Promote a culture of continuous improvement by guiding other engineers through design, code, and operational reviews.</li></ul> Requirements: <ul><li>Deep Expertise: 10+ years of software development experience, with at least 3 years in a formal technical leadership role.&nbsp;</li><li>The Java Stack: You are an expert in Java, Spring Boot, and SQL, with a proven track record of building distributed services that dont fail.&nbsp;</li><li>Cloud Native: Extensive experience with public cloud services (we prefer AWS) and a deep understanding of fault-tolerant, distributed systems.&nbsp;</li><li>Strategic Vision: You can zoom out to see the business objective and zoom in to solve a granular technical bottleneck.&nbsp;</li><li>Collaborative Leadership: Exceptional communication skills. You can explain architectural trade-offs to stakeholders and inspire engineers in the same hour.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related technical field.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead and own the architectural design of the cloud platform, ensuring solutions align with scalability requirements and long-term business objectives.</li><li>Define and execute the technical roadmap in collaboration with cross-functional stakeholders to advance the product vision.</li><li>Translate complex business requirements into clear technical specifications, actionable milestones, and high-quality deliverables.</li><li>Drive engineering excellence by proactively managing functional and non-functional requirements, and initiating corrective action when outcomes diverge from expectations.</li><li>Mentor and develop engineers through structured design, code, and operational reviews, fostering a culture of continuous improvement and technical rigor.</li></ul> Requirements: <ul><li>Experience: 10+ years of software development experience, with at least 3+ years in a technical leadership role.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Deep Technical Expertise: Extensive mastery of Java, Spring Boot, and SQL.&nbsp;</li><li>Cloud &amp; Distributed Systems: Proven experience designing and operating modern cloud-native, fault-tolerant distributed services (preferably on AWS).&nbsp;</li><li>Architecture: Solid understanding of Microservices and REST API standards.&nbsp;</li><li>Quality Focus: Strong experience in writing Unit and API tests to ensure platform stability.&nbsp;</li><li>Soft Skills: Exceptional strategic thinking and the ability to communicate technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Analyze industry pricing standards and competitors to set optimal pricing strategies.</li><li>Harvest and consolidate data from various sources to support pricing decision-making.</li><li>Maintain product pricing routinely in internal systems.</li><li>Manage pricing requests both online and offline via tools.</li><li>Identify low-margin business segments and collaborate with Product Managers to resolve issues.</li><li>Monitor pricing agreement performance and ensure adherence to expected margins.</li><li>Apply advanced analytics to identify pricing issues and opportunities.</li><li>Develop dashboards and reports that support strategic pricing decisions.</li><li>Explore innovative pricing techniques, such as AI-driven models, competitor benchmarking, and cross-functional data integration.</li><li>Communicate and align pricing strategies across departments: Sales, PM, Customer Care, and Finance.</li><li>Simplify and clearly communicate pricing decisions and methodologies to stakeholders.</li><li>Incorporate market insights and business rules into pricing logic.</li><li>Recommend pricing actions to capture market opportunities and improve profitability.</li></ul> Requirements: Experience: <ul><li>Minimum 5- 6 years of experience in pricing analysis, business analysis, commercial strategy, or a related field.</li></ul> Education: <ul><li>Bachelor’s degree or higher in Economics, Finance, Business, Statistics, or a related field.</li></ul> Skills: <ul><li>Strong analytical, strategic thinking, and problem-solving skills.</li><li>Proficiency in Excel and data visualization tools (e.g., Power BI).</li><li>Experience working across business units and aligning stakeholder objectives.</li><li>Ability to present complex data in a clear, simplified format.</li></ul>

Responsibilities: <ul><li>You will be responsible for driving companys growth across the Webex Customer Experience portfolio, with a focus on capturing significant market share in CCaaS, On-Premises Contact Centre, and CPaaS segments.</li><li>Your mission will be to implement high-impact strategies that accelerate adoption and revenue in these rapidly evolving markets.</li><li>The Customer Engagement space is one of the most dynamic and high-growth areas within company.</li><li>The proliferation of smartphones, digital messaging platforms, and the rise of Agentic AI have fundamentally reshaped customer expectations, demanding faster, smarter, and more personalised engagement from businesses.</li><li>As a Customer Engagement Expert, your deep domain expertise and thought leadership will be instrumental in enabling companys broader sales teams.</li><li>You will play a key role in building customer trust and driving adoption of companys AI-powered Contact Centre solutions, including CCaaS, CPaaS, and On-Premise offerings.</li></ul> In this role, you will work across the following teams to help solve customers’ most complex business problems. <ul><li>Global Contact Centre Sales Acceleration team and leadership</li><li>Collaboration with Product Sales Specialists and Solution Architects</li><li>Account Management Teams</li><li>Channel Partners and third-party Contact Centre Solution Partners</li><li>Product Management across companys Global Contact Centre Business Unit</li></ul> Requirements: <ul><li>Proven expertise in AI, Contact Centre, CCaaS, and CPaaS technologies.</li><li>A strong track record in strategic solution selling within both channel-led and direct go-to-market models.</li><li>The ability to position and sell to business decision-makers, backed by a well-established network of senior executive relationships.</li><li>You should possess a comprehensive understanding of Customer Experience technologies and the architectural evolution required for customer success.</li><li>You’ll be expected to engage with executive stakeholders and collaborate with companys technical teams to shape technology roadmaps that align with broader account strategies.</li><li>By applying your business acumen and industry insight, you will align companys portfolio with customer challenges and strategic priorities, ultimately driving revenue growth and market share expansion</li><li>You have demonstrated experience/capability in selling and consulting to Customer Experience executives.</li><li>You will maintain an active, hands-on approach with the team, partners, and customers.</li><li>You love what you do and are passionate about technology, enabling frictionless customer experiences and journeys.</li></ul> You have core experiences in the following areas: <ul><li>Technology Leadership: Communicate a clear technology vision and strategy with a compelling value proposition specifically as it relates to Cloud &amp; On Premise Contact Centre and Experience Management</li><li>Extensive sales/consulting leadership experience managing solution and application sales</li><li>Deep understanding of CCaaS, CPaaS, On-premise Contact Centers, and SaaS-based technologies and architectures, including adjacent technologies like Workforce, Quality Management, and AI.</li><li>You are expected to have customer relationships and understand the India market.</li></ul>

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16 architectural lighting Jobs found

Senior Data Scientist - Machine Learning

Specification Manager

Sr. R&D Product DVL Engineer

Business Development Manager Notbeleuchtung

Intermediate / Senior Data Engineer

Data Engineer

Staff Software Engineer

Senior Software Engineer 2

Product Pricing Analyst

Account Executive - Architecture

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Skills

Industry

Location

Jobtitle

16 architectural lighting Jobs found

Senior Data Scientist - Machine Learning

Specification Manager

Sr. R&D Product DVL Engineer

Business Development Manager Notbeleuchtung

Intermediate / Senior Data Engineer

Data Engineer

Staff Software Engineer

Senior Software Engineer 2

Product Pricing Analyst

Account Executive - Architecture

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.