Sr. Application Developer

Manager, Data Science - Agentic AI

EMEA Field Service Power Distribution Lead Engineer- Switchgear

Manager, Data Engineering

Sr. Manufacturing & Process Development Engineer

Supervisor-Manufacturing Process Development Engineer

Senior Data Scientist - Machine Learning

VP, AI Automation

AVP – Model Ops Engineer

Software Engineer In Test (SDET)

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Overview: <ul><li>On-site customer work across the EMEA region (Data Centers, Utilities, Oil &amp; Gas) Remote work handling administrative and planning tasks</li><li>Candidates can be based in Ireland, the UK, Netherlands, Poland, or Romania, ideally near a major airport.</li></ul> Responsibilities: <ul><li>Lead installation, maintenance, commissioning, testing, and fault-finding of MV and HV equipment</li><li>Lead installation projects, oversee third-party providers, support fellow engineers, and ensure equipment operates at optimal performance.</li><li>Perform site testing (e.g., insulation resistance, primary/secondary injection, functional testing)</li><li>Provide advanced technical support and root cause analysis for complex power distribution fault</li><li>Review and approve service documentation, test reports, and commissioning records</li><li>Act as the primary customer contact during project execution</li><li>Support and mentor service engineers, promoting safety and best practices</li><li>Collaborate with project teams to meet delivery targets and ensure customer satisfaction</li></ul> Requirements: <ul><li>Higher Diploma or Degree in Electrical Engineering</li><li>Proven experience in power distribution testing and commissioning</li><li>Ability to test and commission large MV to HV installations</li><li>Experience with protection relay programming</li><li>Strong IT skills and attention to detail</li><li>This is a hands-on, customer-facing position suited for candidates with a strong technical background. Skills:</li><li>Strong troubleshooting and problem-solving abilities</li><li>Leadership mindset with the ability to coach and develop others</li><li>Flexibility to travel extensively across the EMEA region</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Responsibilities: Automation &amp; Process Development <ul><li>Lead end-to-end development of automation systems, including concept design, hardware/software selection, prototyping, testing, validation, and full-scale implementation.</li><li>Conduct hands-on experimental trials to validate manufacturing processes and gather performance data.</li><li>Collaborate with Product Development teams to ensure designs align with automation and manufacturability standards.</li><li>Develop engineering specifications, preliminary designs, and support pre-production builds and testing.</li></ul> Process Optimization &amp; Problem Solving <ul><li>Apply data-driven methodologies such as Six Sigma, DMAIC, and 8D to identify root causes and improve process capability.</li><li>Analyze yield and process data to develop optimization strategies and enhance efficiency.</li><li>Research and implement new technologies and manufacturing techniques to improve quality and reduce costs.</li></ul> Project &amp; Stakeholder Management <ul><li>Manage multiple engineering projects simultaneously in a fast-paced environment.</li><li>Collaborate with vendors and cross-functional teams to support automation and process development initiatives.</li><li>Provide technical leadership and communicate complex concepts effectively to stakeholders.</li></ul> Documentation &amp; Innovation <ul><li>Prepare detailed technical documentation, design drawings, and process implementation requirements.</li><li>Support submission of invention disclosures for innovative concepts.</li><li>Contribute to the development and deployment of next-generation manufacturing technologies, including AI-driven solutions.</li></ul> Requirements: Education <ul><li>Bachelor’s degree in Electrical, Mechanical, Robotics, Mechatronics, or Electro-Mechanical Engineering (minimum).</li></ul> Experience <ul><li>5–7 years of experience in automation systems and manufacturing engineering.</li><li>Proven experience leading automation projects from concept to implementation.</li></ul> Technical Skills <ul><li>Automation systems: PLCs, HMIs, VFDs, servo motors, sensors, and actuators</li><li>PLC programming: Omron, Siemens, Allen-Bradley</li><li>Industrial robotics troubleshooting: KUKA, ABB, EPSON</li><li>Vision systems: Keyence, Cognex</li><li>CAD tools: Creo, SolidWorks, AutoCAD (2D &amp; 3D)</li><li>Strong electrical and electronic troubleshooting skills</li><li>Experience with Six Sigma / DMAIC / 8D methodologies</li><li>Exposure to Artificial Intelligence (preferred)</li></ul>

Role Description: <ul><li>Manufacturing engineer is responsible for preparing the process sheets, tool design, establish overall strategic goals &amp; objectives of Manufacturing Engineering in alignment with organizational goals.&nbsp;</li><li>This role will be an individual contributor, which reports to MGR I MFG &amp; Process development engineer</li></ul> Responsibilities:&nbsp; <ul><li>Analyze new technology and manufacturing processes.</li><li>Plan and assess the feasibility of new and running projects.</li><li>Ensure good interfaces between Production, Production Planning, Engineering, QC and other functions.</li><li>Plan, design, and monitor manufacturing improvement processes using work study techniques. Ensure Day to day accountability &amp; support Production team to achieve targets by process improvements, training, FAI etc.&nbsp;&nbsp;</li><li>Develop new process and create all process documents like PFC, PFMEA, Control plan and SOP by understanding the depth of product requirements.&nbsp;</li><li>Vendor management, Programming, Installation, and commissioning of new Equipment’s and co-ordinate with CFT for complete process validation.&nbsp;</li><li>NPI/NPD projects execution, development and creation of all required FAI documentations and approvals.&nbsp;</li></ul> Requirements: <ul><li>BE/ B.Tech (Industrial/Electronics, Mechanical)</li><li>Minimum 7 to 9 years of industrial experience with 4 years of project management experience.</li><li>Experience in quality &amp; productivity improvement projects Experience in New product development from scratch i.e. customer order to Production handover</li></ul>

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: <ul><li>Define and execute the enterprise AI automation strategy aligned with the institution’s broader digital transformation goals.</li><li>Build and scale a robust automation platform that supports Agentic AI systems, RPA, and enterprise agent development.</li><li>Lead and grow a high-performing multidisciplinary team of AI engineers, developers, and automation specialists.</li><li>Build and maintain a scalable, secure, and flexible AI automation platform that integrates with existing enterprise systems and data architectures.</li><li>Stay abreast of emerging AI technologies and automation trends to continually evolve the platform and leverage state-of-the-art solutions.</li><li>Oversee the design, development, and deployment of intelligent agent systems that drive operational efficiency and enhance customer experiences.</li><li>Innovate on autonomous and semi-autonomous agents to support both front-office and back-office operations.</li><li>Foster collaboration across business units to identify automation use cases and deploy enterprise-grade agent solutions.</li><li>Lead the RPA strategy and implementation, focusing on end-to-end automation of complex workflows and processes.</li><li>Ensure best practices in governance, security, and compliance are maintained in all automation initiatives.</li><li>Collaborate closely with commercial, product, and technology teams on Agentic Commerce projects, leveraging AI agents to enhance client engagement, product recommendations, and transactional workflows.</li><li>Drive innovations that integrate automation capabilities into commerce platforms, improving speed and personalization.</li><li>Partner with senior leadership and key stakeholders across the institution to advocate for AI automation initiatives and secure buy-in.</li><li>Drive a culture of innovation and continuous improvement in automation adoption.</li><li>Work with multiple co-located and distributed teams (off-shore and on-shore)</li><li>Perform other duties and/or special projects as assigned</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Business, or related field, with a minimum of 8 years of experience in Information Technology or, in lieu of the Bachelors degree, a minimum of 10 years of experience in Information Technology .</li><li>Deep understanding of Agentic AI, Enterprise Agent Development, and Robotic Process Automation technologies.</li><li>Experience driving enterprise-scale automation platforms with a focus on scalability, security, and compliance.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.</li><li>Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).</li><li>Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.</li><li>Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).</li><li>Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).</li><li>Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.</li><li>Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.</li></ul>

Responsibilities: <ul><li>Framework Development: Contribute to, maintain and enhance the test automation framework by adding new capabilities and improving maintainability.</li><li>Ensure the framework supports scalability, modularity, and cross-platform compatibility.</li><li>Be ready to jump into unknown areas and quickly implement the most suitable solutions.</li><li>Test Script Development: Design, develop, and maintain robust and reusable test automation scripts.</li><li>Work with different application layers: UI, API, database, and possibly mobile or desktop apps. Implement and maintain utilities and test libraries.</li><li>If required support developers with unit tests.</li><li>Test Strategy &amp; Planning: Collaborate with QA leads and developers to define what to automate, when, and how.</li><li>Ensure test automation is integrated in the CI/CD pipeline and supports continuous testing.</li><li>Test Execution &amp; Maintenance: Regularly run automated tests and analyze results. Identify and troubleshoot test failures, escalating issues when needed. Maintain and update existing test cases and CI/CD pipelines as applications evolve.</li><li>Troubleshooting &amp; Debugging: Investigate test failures and identify root causes— whether it’s a test issue, application defect, or environment problem.</li><li>Provide quick and effective fixes or workarounds.</li><li>Collaboration &amp; Mentorship: Collaborate with developers, QA engineers, DevOps, and product owners to ensure alignment on testing objectives.</li><li>Mentor junior team members on automation best practices and tool usage.</li><li>Code Quality &amp; Version Control: Write clean, maintainable, and efficient automation code. Perform code reviews for junior engineers and provide constructive feedback. Ensure adherence to automation coding standards and version control practices.</li><li>Test Data &amp; Environment Handling: Set up or manage basic test data for automated runs. Run tests across different environments and report inconsistencies.</li><li>Documentation: Document automated tests and provide clear test case descriptions.</li><li>Keep test coverage and automation status updated in tracking tools like Jira, TestRail, or similar.</li></ul> Requirements: <ul><li>Experience &amp; Expertise: Excellent coding skill in Python, JavaScript is a plus.</li><li>Proven experience in building test framework, application development and building applications, working with git.</li><li>Solid experience with API automation testing, microservices solutions, setting up CI/CD pipelines in Azure DevOps or similar.</li><li>Great experience with Docker or similar.</li><li>Agile methodology: Experience in working in an Agile environment and comfortable in dynamic settings and requirements.</li><li>You thrive as fast-paced and are an independent contributor with no support required to drive assigned tasks forward with precision and efficiency.</li><li>Communication &amp; Collaboration: Proficient in cross-functional communication with a demonstrated ability to facilitate team communication and knowledge sharing sessions.</li><li>Technical Proficiency: Hands-on experience with latest development tools and processes, DevOps practices and Cloud solutions like Azure, AWS or similar, Robot Framework, Selenium Grid and reporting tools like Grafana, Report Portal or similar.&nbsp;</li><li>Continuous Improvement: Proactively identify areas for automation improvement or technical debt reduction.</li><li>Stay current with industry trends, tools, and emerging practices.</li><li>Educational Background: A Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li></ul>

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42 robotic programming Jobs found

Sr. Application Developer

Manager, Data Science - Agentic AI

EMEA Field Service Power Distribution Lead Engineer- Switchgear

Manager, Data Engineering

Sr. Manufacturing & Process Development Engineer

Supervisor-Manufacturing Process Development Engineer

Senior Data Scientist - Machine Learning

VP, AI Automation

AVP – Model Ops Engineer

Software Engineer In Test (SDET)

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42 robotic programming Jobs found

Sr. Application Developer

Manager, Data Science - Agentic AI

EMEA Field Service Power Distribution Lead Engineer- Switchgear

Manager, Data Engineering

Sr. Manufacturing & Process Development Engineer

Supervisor-Manufacturing Process Development Engineer

Senior Data Scientist - Machine Learning

VP, AI Automation

AVP – Model Ops Engineer

Software Engineer In Test (SDET)

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

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