Safety Manager - Automotive North America - Houston

Solution Engineer - AI Infrastructure

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

F&B Sales Engineer

Senior QA Automation Engineer

MPDE Technician

Responsibilities: Safety Program Development <ul><li>Design and maintain comprehensive safety policies and procedures tailored to operations.</li><li>Conduct regular reviews and updates of safety protocols to align with evolving regulations.</li></ul> Risk Assessment &amp; Mitigation <ul><li>Perform workplace hazard assessments and risk analyses.</li><li>Develop strategies to mitigate risks and prevent workplace injuries.</li></ul> Compliance Management <ul><li>Ensure compliance with OSHA, EPA, and other relevant regulations.</li><li>Prepare documentation and reports for audits and inspections.</li></ul> Training &amp; Employee Engagement <ul><li>Conduct safety training sessions for employees, contractors, and visitors.</li><li>Promote a culture of safety awareness and responsibility across the organization.</li></ul> Incident Investigation &amp; Reporting <ul><li>Lead investigations into workplace accidents and near-misses.</li><li>Create detailed reports, identify root causes, and implement corrective actions.</li></ul> Monitoring &amp; Inspections <ul><li>Perform routine inspections of equipment, facilities, and workspaces.</li><li>Identify non-compliance issues and recommend corrective measures.</li></ul> Emergency Preparedness <ul><li>Develop and oversee emergency response plans.</li><li>Coordinate drills and ensure readiness for potential crises.</li></ul> Collaboration &amp; Communication <ul><li>Work closely with leadership, HR, and operations teams to integrate safety into all aspects of the business.</li><li>Serve as the primary point of contact for safety-related inquiries.</li><li>Assist with security-related initiatives and collaborate with relevant teams to ensure a secure work environment.</li></ul> Requirements: <ul><li>Education: Bachelor’s degree in Occupational Health &amp; Safety, Environmental Science, Industrial Engineering, or a related field. Professional certifications like CSP (Certified Safety Professional) or OSHA certification are preferred.</li><li>Experience: Minimum 5 years of experience in a safety management role, preferably in the automotive or manufacturing industry.</li></ul> Skills: <ul><li>Strong knowledge of safety regulations and standards</li><li>Excellent problem-solving and analytical skills</li><li>Effective communication and leadership abilities</li><li>Technical Proficiency: Familiarity with safety management systems and software</li></ul> Work Environment <ul><li>Primarily office-based with frequent visits to production floors and facilities</li><li>Occasional travel may be required to other company locations or external sites</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Responsibilities: <ul><li>Work closely with internal stakeholders like Channel team, Account team and Industry partners individually to build a successful pipeline to meet and exceed your individual sales quota</li><li>Identify new business opportunities whilst establishing, developing and maintaining relationships up to executive-levels within your assigned portfolio</li><li>Network within the client’s business and influence key decision makers, typically at C-level</li><li>Act as Clients ambassador within specific client accounts</li><li>Articulate and promote the company’s security&nbsp;value proposition and services to become a trusted advisor within your customer base</li><li>Identify new business opportunities and prepare detailed account development plans, engagement strategies and targets for each account within your assigned portfolio</li><li>Take control of opportunities and accurately forecast business objectives and outcomes. Follow MEDDPICC.</li></ul> Requirements: <ul><li>Min 10 years of experience selling cybersecurity solutions in Delhi/NCR region.</li><li>Proven successful track record in a similar role selling high technology products to Enterprise customers.</li><li>Ability to network multiple levels within an account up to C-Level.</li><li>Ability to create and deliver value propositions.</li><li>Proven sales track record.</li><li>Excellent verbal, written and presentation skills.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</li></ul>

Responsibilities: <ul><li>Work closely with internal stakeholders like Channel team, Account team and Industry partners individually to build a successful pipeline to meet and exceed your individual sales quota</li><li>Identify new business opportunities whilst establishing, developing and maintaining relationships up to executive-levels within your assigned portfolio</li><li>Network within the client’s business and influence key decision makers, typically at C-level</li><li>Act as Clients ambassador within specific client accounts</li><li>Articulate and promote the company’s security&nbsp;&nbsp;value proposition and services to become a trusted advisor within your customer base</li><li>Identify new business opportunities and prepare detailed account development plans, engagement strategies and targets for each account within your assigned portfolio</li><li>Take control of opportunities and accurately forecast business objectives and outcomes. Follow MEDDPICC</li></ul> Minimum Qualifications – <ul><li>Min 10 years of experience selling cybersecurity solutions in Delhi/NCR region</li><li>Proven successful track record in a similar role selling high technology products to Enterprise customers</li><li>Ability to network multiple levels within an account up to C-Level</li><li>Ability to create and deliver value propositions</li><li>Proven sales track record</li><li>Excellent verbal, written and presentation skills</li></ul>

Responsibilities: <ul><li>Region coverage South India (Andhra Pradesh / Telangana /Karnataka / Tamil Nadu / Kerala).&nbsp;</li><li>Conduct market research to identify potential customers in the F&amp;B&amp;S Sector in South India.</li><li>Develop and implement targeted marketing strategies to reach potential customers in these sectors.</li><li>Key account management including End Users, OEMs &amp; System Integrators</li><li>Build long-term customer business relations right from the concept phase and ensure product standardization at customer sites.</li><li>Build and maintain relationships with existing customers in these sectors, identifying opportunities for cross-selling and upselling.</li><li>Attend industry events and exhibitions to showcase company products and engage with potential customers.</li><li>Provide technical expertise and assistance to customers, helping them to select the most suitable equipment for their specific applications in these sectors.</li><li>Act as the customers advocate and ensure their technical needs are met.&nbsp;</li><li>Work closely with the company product development team to identify and develop new products that meet the specific needs of the PI - F&amp;B&amp;S in India.</li><li>Produce and maintain detailed documentation on all customer interactions, including project timelines, equipment specifications, and budget constraints.</li><li>Provide ongoing technical support and guidance to other departments within the company as required to ensure that all customers receive the highest level of service and support.</li><li>Provide high-quality technical support to prospects and customers during pre- and post-sales situations.&nbsp;</li><li>Understand and solve challenging application problems by recommending appropriate company solutions.&nbsp;</li><li>Update records in CRM interface for opportunity pipeline, appointments, lead and present business analytical data through CRM&nbsp;</li></ul> Requirements:﻿ <ul><li>Hold relevant Diploma Mechanical / Bachelor of Engineering, Qualifications and a strong business background.</li><li>Preferably have at least 10 -15 years of experience in the Fluid Handling Industry.&nbsp;</li><li>Possess excellent written and spoken English communication skills.</li></ul>

Responsibilities: <ul><li>Together with the team of developers handle the product quality.</li><li>Lead and manage the automation testing efforts and deliverables.</li><li>Plan and prioritize testing activities.</li><li>Maintain and improve an existing test automation framework.</li><li>Develop automation tests for API and UI.</li><li>Execute, maintain and update automation tests.</li><li>Review and analyze tests execution results.</li><li>Maintain all related test documentation.</li><li>Prepare testing data.</li><li>Proactively acquire and clarify requirements as necessary.</li><li>Mentor less skilled teammates and newcomers.</li></ul> Requirements: <ul><li>Strong knowledge of OOP (understanding OOP in automation).</li><li>Excellent knowledge of automation testing principles.</li><li>Excellent knowledge of web-based application structure.</li><li>Excellent knowledge of Python programming language.</li><li>Expert in REST API testing.</li><li>Experience in UI testing.</li><li>Wide experience in developing automation testing frameworks.</li></ul>

Responsibilities: Prototype Build and Trial Production Support: <ul><li>Participate in new product development projects, responsible for the fabrication, assembly, and preliminary testing of prototypes, ensuring timely delivery of samples required for design verification.</li><li>Support small-batch trial production (NPI) activities; operate equipment according to trial process plans, execute production processes, and accurately record various parameters and data during trial production.</li><li>Assist engineers in setting up and debugging temporary production lines or jigs and fixtures required for trial production, and participate in the on-site acceptance and debugging of new equipment and tooling, providing feedback from an operators perspective.</li></ul> Production Issue Identification and Preliminary Analysis: <ul><li>During prototype building and trial production, closely monitor and meticulously document all process, assembly, equipment, or material issues (e.g., assembly interference, performance deviation, equipment instability).</li><li>Conduct preliminary analysis of problems based on hands-on experience, providing engineers with detailed observations and firsthand descriptions to assist in root cause analysis.</li></ul> Process and Documentation Assistance: <ul><li>Based on hands-on trial production experience, assist engineers in developing, optimizing, and creating necessary process documentation for both trial and mass production, including but not limited to:</li><li>Standard Operating Procedures (SOPs)</li><li>Equipment Operation Manuals</li><li>Equipment Daily Check and Maintenance Plans</li><li>Ensure the practicality and usability of process documentation to lay a solid foundation for subsequent mass production.</li><li>Participate in trial production reviews, providing feedback on process optimization from an operators viewpoint.</li></ul> Production Transfer and Knowledge Handover: <ul><li>Play a key role in transferring process and operational knowledge to the mass production team during the transition from trial to mass production.</li><li>Participate in training mass production operators, ensuring they master the correct operating methods and quality control points for the new product.</li></ul> Requirements: <ul><li>Vocational school, technical school certificate, or associate degree in Mechanical, Electronic, Automation, Mechatronics, or other related engineering fields.</li><li>Experience Requirements</li><li>Typically requires 1-3 years of experience in manufacturing. Preference given to those with experience in New Product Introduction (NPI), prototype building, trial production support, or as an R&amp;D assistant.</li><li>Familiarity with product development processes is preferred.</li></ul>

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92 infrastructure automation Jobs found

Safety Manager - Automotive North America - Houston

Solution Engineer - AI Infrastructure

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Account Executive- Cybersecurity

F&B Sales Engineer

F&B Sales Engineer

Senior QA Automation Engineer

MPDE Technician

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92 infrastructure automation Jobs found

Safety Manager - Automotive North America - Houston

Solution Engineer - AI Infrastructure

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Account Executive- Cybersecurity

F&B Sales Engineer

F&B Sales Engineer

Senior QA Automation Engineer

MPDE Technician

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

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