

Responsibilities Full Stack GCP Cloud Engineer
· Develop and design AI solutions which include components across Chatbots, Virtual Assistants, and Machine Learning
· Collaborate with peers across multiple technology disciplines ensuring AI platform and solutions deliver business and technical requirements
· Lead technical workshops in driving strategic initiatives, while developing and managing relationships both internal and external vendors
· Serve program teams to better understand their problems and goals, recommending possible solutions and building consensus around architecture
· Oversee and manage the full AI program life cycle implementations
· Assist, guide, and drive engineering teams by providing technical oversight during implementation and owning technical delivery
· · Ensure all architectural consideration and non-functional requirements around high availability, scalability, maintainability, and extensibilities are factored in in the core system.
· Implement POC, sample use case, and core platform components for a highly scalable application
Google Vertex AI, Google Big Query, Google DataPlex, Google Data Catalog, Cloud Functions, Cloud Composer, Kubernetes on Google, Networking and Firewall knowledge good to have
· Experience implementing, developing and deploying enterprise AI solutions involving Advanced Analytics, Machine Learning and Data Science specifically on Google Cloud ENvironment
· Experience with AI architecture and AI interface design covering diverse range of use cases and deployment models
· In-depth knowledge of components and architectural trade-offs across data management, governance, model building and production workflows of AI on GCP is a must
· Understand the workflow and planning pipeline architectures of ML and deep learning frameworks, with data, training/retraining and deployment
· Demonstrated expertise in modeling techniques with types of algorithm and development at least one of the following machine learning, deep learning, time-series, anomaly detection and prediction
· In-depth theoretical and practical knowledge in few select areas across AI cloud spectrum GCP AI/ML Services and MS Azure ML Services. Google cloud Certification is preferrable
· Knowledge and ability to apply OOPS concepts, SOLID principles, and design patterns.
· Experience with Computer Science fundamentals in data structures, algorithms, and complexity analysis
· Good Analytical skills.
Additional Informationמשרות נוספות שיכולות לעניין אותך

As the Software Offering Manager, you will play a crucialrole in managing the successful introduction of new products into the market.You will lead cross-functional teams, drive product development initiatives,and ensure seamless execution from concept to launch. This role requires astrategic thinker with strong leadership skills and a deep understanding of softwareproduct lifecycle management.
Ideal Candidate Experience:
New Product Strategy and Planning:
Project Management and Execution:
Go-to-Market Strategy and Commercialization:
Stakeholder Management and Communication:
Continuous Improvement and Analysis:
YOU MUST HAVE
WE VALUE
משרות נוספות שיכולות לעניין אותך

B. E- Instrumentation/ Electronics
WE VALUE
Additional Informationמשרות נוספות שיכולות לעניין אותך

The SIOP Analyst is a hands-on position responsible for executing and improvising Demand and Supply Plans.. This role requires demonstration of a strong ability to seamlessly integrate business and functions to enable execution excellence and planning fidelity. He/She, will work closely with the HTS Global SIOP Leader to drive/run SIOP process for HTS Global locations
This role involves evolving and maintaining documentation and standard operating procedures for the HTS Global SIOP Process
Perform analytics around demand, whether in line with the MRR actions (for example differentiated skills), STRAP initiatives, AOP flow Establish supply plans from all sources (Staffing, outsourced partners, ISC and Operations). This role requires a good understanding of planning, staffing, financials, analytics functions.
Key Activities/Elements
Run the standardized SIOP process (data collection, validation, corrections & reporting) within HTS SBGs and work closely with the HTS Global SIOP Leader
Consolidate and run SIOP dashboards and metrics for monthly reporting;
Work closely with the HTS Global SIOP Leader to improvise / upgrade SIOP processes & dashboards; align with revised structures
Robust tracking of actions and drive implementation of the same across all stakeholders
Run existing SIOP tool and track appropriate metrics
.Publish monthly SIOP dashboards ;
Participate in monthly Executive SIOP Review meetings with HTS Global SIOP Leader to drive actions for continuous improvement
Other responsibilities
Work with HR/staffing for data collections and drive process improvements for the same
Work in collaboration with the finance team to deliver SIOP Dashboards in a timely manner at planning cycles (AOP/4+8/8+4)
Education level and/or relevant experience(s) and other skills
At least 8-10 years of relevant experience in Finance, HR and business management knowledge and qualification
Demonstrated capability of managing multiple, concurrent tasks while meeting deadlines
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information while paying attention to detail and accuracy
Strong written and verbal communication skills, including presentation skills and ability to communicate at the highest executive levels in the organization
Motivated and proactive results-oriented self starter with a sense of urgency who promotes positive attitude
Excellent in MS Office Tools (Advanced Excel, Word and Power point – must/MS Share point)
Additional Informationמשרות נוספות שיכולות לעניין אותך

You will work under our Sr Sales Manager. This is a remote role but requires travel within the territory. The expected territory for this role is Texas, Oklahoma, and Louisiana.
Key Responsibilitiesמשרות נוספות שיכולות לעניין אותך

RESPONSIBILITIES
The position requires the ability to develop & present a value proposition to drive high customer satisfaction and exceed business projections.
Serve as a prospect conduit between our solution consulting, product development, and solution sales organizations
You will need to translate technical information into simple terms to foster the highest regard and respect at all client organizational levels.
MUST HAVE
Bachelor’s degree on Chemical Engineering or related
5+ years of experience in solution sales and/or B2B sales leadership in Industrial Products, Software Solutions in Process /Asset Management domains
5+ years of sales experience selling to industrial plant management, directors, VPs and to C-suite executive
5+ years of experience working in selling complex, often-customized SaaS and Service delivering businesses with cloud-based deployment structures
WE VALUE
Experience in selling software solutions delivered through Cloud, SaaS and traditional commercial models
Experience in selling L3 (Process Optimization, Asset Monitoring, Simulation solutions) and/or L4 solutions such as MES, Supply Chain, IIOT Solutions, Industry 4.0, etc
Ability to influence at varying levels across the organization
Additional Informationמשרות נוספות שיכולות לעניין אותך

- Overall responsibility for completing assigned projects in line with the required
specifications
- Develop the project timeline, coordinate the engineering, organize the commissioning
- Request the purchase of goods and services and follow-up the delivery
- Track and report monthly the progress of the project (works and financial)
- Identify and manage scope changes timely, and ensure good relationship with customers
- Master or Bachelor degree (electro mechanics, electronics) or relevant technical experience
- Relevant knowledge of and experience in security systems (access control, cctv, burglary)
and fire detection installations. NBN-S21-100 knowledge is a strong asset.
- Experience in a project management role (minimum 5 years), used to manage complex
projects with significant network content & knowledge of a project methodology (PMI, PMBOK) is an asset
- Proficient in MS Office and MS Project and comply with EHS and Quality standards
- Strong communication and negotiation skills (Bilingual Dutch/French, fluent in English) are required as well as being able to work independent
משרות נוספות שיכולות לעניין אותך

Responsibilities Full Stack GCP Cloud Engineer
· Develop and design AI solutions which include components across Chatbots, Virtual Assistants, and Machine Learning
· Collaborate with peers across multiple technology disciplines ensuring AI platform and solutions deliver business and technical requirements
· Lead technical workshops in driving strategic initiatives, while developing and managing relationships both internal and external vendors
· Serve program teams to better understand their problems and goals, recommending possible solutions and building consensus around architecture
· Oversee and manage the full AI program life cycle implementations
· Assist, guide, and drive engineering teams by providing technical oversight during implementation and owning technical delivery
· · Ensure all architectural consideration and non-functional requirements around high availability, scalability, maintainability, and extensibilities are factored in in the core system.
· Implement POC, sample use case, and core platform components for a highly scalable application
Google Vertex AI, Google Big Query, Google DataPlex, Google Data Catalog, Cloud Functions, Cloud Composer, Kubernetes on Google, Networking and Firewall knowledge good to have
· Experience implementing, developing and deploying enterprise AI solutions involving Advanced Analytics, Machine Learning and Data Science specifically on Google Cloud ENvironment
· Experience with AI architecture and AI interface design covering diverse range of use cases and deployment models
· In-depth knowledge of components and architectural trade-offs across data management, governance, model building and production workflows of AI on GCP is a must
· Understand the workflow and planning pipeline architectures of ML and deep learning frameworks, with data, training/retraining and deployment
· Demonstrated expertise in modeling techniques with types of algorithm and development at least one of the following machine learning, deep learning, time-series, anomaly detection and prediction
· In-depth theoretical and practical knowledge in few select areas across AI cloud spectrum GCP AI/ML Services and MS Azure ML Services. Google cloud Certification is preferrable
· Knowledge and ability to apply OOPS concepts, SOLID principles, and design patterns.
· Experience with Computer Science fundamentals in data structures, algorithms, and complexity analysis
· Good Analytical skills.
Additional Informationמשרות נוספות שיכולות לעניין אותך