data science and iot manager

Pinerium

<div>
 
 Pinerium is seeking a highly skilled
 
 IoT Engineer
 
 to join our innovative team. As an IoT Engineer, you will be responsible for designing, implementing, and maintaining IoT solutions for our clients. Your role will involve creating robust and scalable IoT systems that enable automation, data analysis, and process optimization across multiple industries. The ideal candidate has strong technical knowledge of IoT systems, a passion for technology, and an eagerness to push the boundaries of innovation.
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Collaborate with clients to understand business requirements and translate them into effective IoT solutions.
 
 </li>
 <li>
 Design and deploy end-to-end IoT architectures including sensor integration, data collection, network infrastructure, and cloud analytics.
 
 </li>
 <li>
 Implement and maintain communication protocols (e.g., MQTT, CoAP, HTTP) for IoT devices.
 
 </li>
 <li>
 Work closely with cross-functional teams to integrate IoT solutions with existing IT infrastructure.
 
 </li>
 <li>
 Perform data analysis to provide actionable insights for clients, optimize performance, and improve operational efficiency.
 
 </li>
 <li>
 Ensure IoT systems are secure by implementing cybersecurity best practices, including data encryption and secure communication.
 
 </li>
 <li>
 Develop real-time monitoring systems, dashboards, and alert mechanisms for proactive issue resolution.
 
 </li>
 <li>
 Conduct testing, troubleshooting, and optimization to guarantee IoT solutions meet client expectations.
 
 </li>
 <li>
 Provide training and technical support to clients, ensuring seamless adoption of IoT solutions.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <li>
 
 Educational Background
 
 : Bachelor&rsquo;s degree in Electrical Engineering, Computer Science, Information Technology, or a related field.
 
 </li>
 <li>
 
 Experience
 
 : Minimum of 3 years of experience as an IoT Engineer or in a similar role in IT/Automation industries.
 
 </li>
 <li>
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Strong understanding of IoT frameworks and architectures.
 
 </li>
 <li>
 Hands-on experience with IoT platforms like
 
 Zoho IoT
 
 ,
 
 AWS IoT
 
 ,
 
 Azure IoT
 
 , etc.
 
 </li>
 <li>
 Experience with communication protocols such as
 
 MQTT
 
 ,
 
 CoAP
 
 ,
 
 Zigbee
 
 ,
 
 LoRa
 
 , and
 
 Bluetooth
 
 .
 
 </li>
 <li>
 Proficiency in programming languages such as
 
 Python
 
 ,
 
 C/C++
 
 , or
 
 JavaScript
 
 for embedded system integration.
 
 </li>
 <li>
 Experience in deploying and maintaining
 
 cloud computing
 
 solutions for data processing and analysis.
 
 </li>
 </ul>
 </li>
 <li>
 
 Soft Skills
 
 :
 <ul>
 <li>
 Excellent problem-solving skills and the ability to work independently.
 
 </li>
 <li>
 Strong verbal and written communication skills for client interactions.
 
 </li>
 <li>
 Ability to manage multiple projects simultaneously and meet deadlines.
 
 </li>
 </ul>
 </li>
 <li>
 
 Certifications
 
 : IoT-related certifications are a plus (e.g., IoT Certified Professional).
 
 </li>
 <li>
 
 Additional Requirement:
 
 Candidate must have their own laptop.
 
 </li>
 <li>
 Must be a non smoker (all types)
 
 
 
 
 </li>
 Benefits
 
 
 <ul>
 <li>
 Competitive salary and benefits package.
 
 </li>
 <li>
 Opportunities for professional growth and career advancement.
 
 </li>
 <li>
 Work on cutting-edge IoT projects and contribute to impactful solutions.
 
 </li>
 <li>
 A collaborative and supportive work environment.
 
 </li>
 </ul>
 
 
 Why Join Pinerium?
 
 Pinerium is at the forefront of providing cutting-edge automation and ICT solutions. We value creativity, innovation, and a passion for technology. As a team member, you will work alongside industry experts, contribute to exciting projects, and help our clients transform their operations with advanced IoT solutions.
 
 
 
 
 
</div>

IoT Engineer

Micron Technology

<div>Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Senior Data Scientist at Micron Technologies, you will play a crucial role in analyzing and extracting valuable insights from large datasets related to semiconductor manufacturing, process optimization, and quality control. You&rsquo;ll collaborate with cross-functional teams to develop innovative solutions that enhance product performance, yield, and reliability. 
RESPONSIBILITIES:
 <ul><li>Data Analysis &amp; Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
</li><li>Model Development &amp; Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
</li><li>Visualization: Create clear and informative visualizations to communicate findings and insights to stakeholders.
</li><li>IoT: Work with enablement sensor data collection from edge devices as well as management of data pipelines.
</li><li>Collaboration: Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
</li><li>Continuous Improvement: Stay up to date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing. 
</li></ul>MINIMUM QUALIFICATIONS:
Education/Experience:
<ul><li>Master&rsquo;s or Ph.D. with a thesis in Engineering, Computer Science, Data Science or related field. Practical experience with Virtual Metrology, AI, process control, yield improvement, quality control, semiconductor process engineering, image analytics, or related semiconductor field focus.
</li><li>3 plus years in semiconductor manufacturing or artificial intelligence. 
</li></ul>Technical and Project Skills:
<ul><li>Proficient in Python, with strong knowledge of machine learning algorithms and statistical techniques.
</li><li>Familiarity with web applications and reporting.
</li><li>Experience with SQL and database management.
</li><li>Project experience in AGILE, Waterfall, Scrum, Software Development Lifecycle, JIRA, Change management, Release management, and Configuration management. 
</li></ul>Technologies:
<ul><li>ML frameworks:
</li><li>Decision trees, Clustering, Regression, Neural Networks, NLP, Pytorch, Big data, Tensorflow, Pandas, Streamlit
</li><li>Tools and technologies:
</li><li>Docker, Containerization, Kubernetes, Jenkins, Ansible, Elasticsearch, SSL, Microservices, data visualization tools (e.g., Streamlit, Tableau, PowerBI, etc.).
</li><li>Cloud expertise:
</li><li>Google Cloud Platform, OpenShift Container Platform
</li><li>AI Skills:
</li><li>AI specialization and Virtual Metrology/Modeling/Computation:
</li><li>Python library sklearn, xgboost, pycaret, etc. but the capability to learn any new package is most important.
</li><li>Familiar with the general process of data science work like data extraction, feature extraction, feature selection and modeling.
</li><li>Familiar with the skills to deal with time series data (feature extraction, modelling, similarity measure of time series).
</li><li>Image specialization: Familiar with deep learning network CNN and package keras.
</li><li>Frontend:
</li><li>Languages: HTML, CSS, JavaScript, Typescript
</li><li>Frameworks/Libraries: Angular, HighCharts, Plotly, AG Grid, BootStrap, Ngx Bootstrap, RxJS
</li><li>High capability to learn any new package.
</li><li>Packaging: npm, Jenkins
</li><li>Backend/API:
</li><li>Languages: Python
</li><li>Frameworks: Flask, FastAPI, Experience with RESTful APIs, Minor experience with WSLs
</li><li>Databases: MySQL, MSSQL, Oracle, PostgreSQL, MongoDB, Neo4j, BigQuery SQL, Snowflake SQL, basic understanding of SSL
</li><li>Tools:
</li><li>Git , Bitbucket 
</li></ul>Additional details:
<ul><li>Ability to conduct and/or attend meetings when needed in the evening.
</li><li>Excellent communication skills to collaborate with cross-functional teams.
</li><li>Adaptability and willingness to learn new technologies and methodologies. 
</li></ul>PREFERRED QUALIFICATIONS:
<ul><li>Prior experience in semiconductor manufacturing, yield optimization, or process control is highly desirable.
</li><li>5 plus years in semiconductor manufacturing or artificial intelligence
</li><li>IoT Device Domain:
</li><li>Strong understanding of Operating systems (preferably Linux) Networking/Communication protocols (eg - websockets).
</li><li>Experience with python libraries and javascript is recommended.
</li><li>Hands-on experience with Linux OS, RPi, Odroids (Embedded systems).
</li><li>Understanding of different communication protocols used for communicating between the sensors, drivers for embedded systems and choosing the sensors accordingly.
</li><li>Experience with frameworks and libraries such as OpenCV, Thingworx, Ansible, and basic DBMS (SQL).
</li><li>Ability to preprocess, clean large, noisy data generated from sensors.
</li></ul>As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</div>

SR DATA SCIENTIST, SMART MFG & AI

JIG-SAW US, Inc.

Who We AreJIG-SAW operates 24/7 Operations Centers in Japan and Canada that proactively monitor systems, issue alerts, and deliver live incident response&mdash;keeping web services and IoT environments secure and running smoothly.<ul><li>Corporate site: https://jig-saw.com/en/</li><li>NEQTO.ai: https://neqto.ai/</li></ul>About the RoleWe are looking for a dual-threat AI and Data Engineer to build a game-changing, AI-driven IoT platform. You won&rsquo;t just be building chatbots; you will be building the &quot;nervous system&quot; of industrial environments.The core of this role is turning raw, often messy device signals into actionable intelligence. You will own the end-to-end pipeline: from integrating industrial protocols and normalizing high-velocity data streams to deploying RAG-based insights and predictive ML models. If you enjoy the challenge of making intelligence observable, reliable, and scalable across factories, buildings, and logistics hubs, this role is for you.Key Responsibilities<ul><li>Data Pipeline Architecture: Design and implement robust data ingestion and processing pipelines that receive, normalize, and transform raw data from diverse IoT sources into structured formats for AI consumption.</li><li>Protocol Integration: Implement and manage connectivity for industrial and wireless protocols including Modbus, BACnet, LoRaWAN, and MQTT.</li><li>AI/ML Development: Ship insight features combining LLM/RAG with classical ML for anomaly detection, forecasting, and predictive maintenance.</li><li>Data Engineering at Scale: Handle &quot;big data&quot; challenges&mdash;managing time-series datasets, stream processing, and ensuring data integrity for downstream models.</li><li>Retrieval &amp; Orchestration: Implement robust retrieval pipelines (chunking, embeddings, reranking) and agentic workflows to turn business questions into measurable outcomes.</li><li>Production Excellence: Own the loop end-to-end&mdash;training, deploying, and monitoring models in production with clear KPIs and guardrails.</li></ul>Required Skills &amp; Qualifications<ul><li>Data Engineering &amp; Processing: Expert-level experience in ETL/ELT, data normalization, and processing high-throughput streaming data.</li><li>LLMs &amp; RAG: Deep understanding of LangChain/LlamaIndex, agent frameworks, and tool orchestration for generating insights beyond simple text generation.</li><li>ML/DL Frameworks: Proven experience using TensorFlow, PyTorch, or Scikit-learn for time-series forecasting and anomaly detection.</li><li>Cloud &amp; Vector Infra: Proficiency in GCP/AWS/Azure and vector databases (e.g., pgvector, Pinecone, Milvus, or Weaviate).</li><li>Education: Bachelor&rsquo;s degree or higher in Computer Science or a closely related technical field.</li></ul>Experience Guidelines<ul><li>5+ years of professional Data Engineering/ML experience: building and operating production-grade platforms (ingestion, training, deployment, and monitoring).</li><li>5+ years of Industrial IoT (IIoT) domain experience: working with smart factories, logistics, energy management, or smart buildings.</li><li>3+ years delivering GenAI (LLM/RAG) features for real-world users (beyond hobbyist projects).</li></ul>Nice-to-Have<ul><li>MLOps: Experience with MLflow, W&amp;B, or SageMaker for experiment tracking and model versioning.</li><li>Industrial Connectivity: Hands-on experience integrating with Modbus (TCP/RTU), BACnet, LoRaWAN, and MQTT.</li><li>Advanced Analytics: Experience with Temporal Fusion Transformers (TFT), Prophet, or state-space models for time-series at scale.</li><li>Security: Knowledge of PII handling, RBAC, and secure device onboarding.</li></ul>Compensation &amp; Benefits<ul><li>Remote Work: Fully remote position.</li><li>Health &amp; Wellness: Comprehensive Health, Dental, and Vision insurance.</li><li>Time Off: Competitive PTO (Vacation, Sick Leave, and Company Holidays).</li><li>Salary: Competitive market-based salary dependent on location and experience.</li></ul>Portfolio Required: Please include links to your GitHub/GitLab, product sites, or technical case studies. Applications without a portfolio will not be considered.Job Type: Full-timePay: $100,000.00 - $150,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>[Required] This is the first-round screening question #1. If this field is left blank, you will not be considered.</li></ul>The key evaluation criterion is whether you can explain your reasoning logically. We value how you think more than what you already know. If a response is detected to have been generated using ChatGPT or an equivalent tool, it will be automatically rejected.For the function below, propose technical approaches you would use to implement it. Assume real production use: consider performance, scalability, operating cost, and LLM context-window limits.On an IoT data dashboard, display:1) Insights through the previous day (e.g., findings, early signs of failure, predictive maintenance).2) A list of alerts through the previous day (not simple threshold checks, but early failure signs and predictive maintenance).<ul><li>[Required] This is the first-round screening question #2. If this field is left blank, you will not be considered.</li></ul>The key evaluation criterion is the same as #1.For the function below, propose technical approaches you would use to implement it. Assume real production use: consider performance, scalability, operating cost, and LLM context-window limits.Enable users to obtain on-demand insights (findings, early signs of failure, predictive maintenance) by asking a chatbot, based on all data collected to date.<ul><li>[Required] This is the first-round screening question #3. If this field is left blank, you will not be considered.</li></ul>The key evaluation criterion is the same as #1.For the function below, propose technical approaches you would use to implement it. Assume real production use: consider performance, scalability, operating cost, and LLM context-window limits.From the data format sent by unknown IoT devices, auto-register/provision devices.1) Automatically detect and register the device with its metadata when multiple sensor values compressed/obfuscated by encoding them as binary/hex.2) Automatically detect and register the device with its metadata when multiple sensor values are human-readable (non-binary/non-hex) payloads.<ul><li>[Required] This is the first-round screening question #4. If this field is left blank, you will not be considered.</li></ul>The key evaluation criterion is the same as #1.From the data format sent by unknown IoT devices, auto-detect/map sensor attributes.1) Automatically detect sensor attributes (e.g., temperature), normalize them, and associate attributes with the database scheme. Assume multiple sensor values compressed/obfuscated by encoding them as binary/hex.2) Automatically detect sensor attributes (e.g., temperature), normalize them, and associate attributes with the database scheme. Assume multiple sensor values are human-readable (non-binary/non-hex) payloads.<ul><li>[Required] This is the first-round screening question #5. If this field is left blank, you will not be considered.</li></ul>The key evaluation criterion is the same as #1.For the function below, propose technical approaches you would use to implement it. Assume real production use: consider performance, scalability, operating cost, and LLM context-window limits.Settings recommendations: a feature that recommends configuration settings the user tends to prefer.<ul><li>[Required] Please describe in detail your professional experience using generative AI in Industrial IoT environments such as smart factories, smart buildings, logistics, and energy management. If this field is left blank, you will not be considered.</li><li>[Required] Please describe in detail your professional experience using machine learning in Industrial IoT environments such as smart factories, smart buildings, logistics, and energy management. If this field is left blank, you will not be considered.</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>professional ML (shipped, deployed, monitored): 5 years (Required)</li><li>professional GenAI (LLMs/RAG): 3 years (Required)</li><li>industrial IoT (e.g., smart factories, logistics): 5 years (Required)</li></ul>Work Location: Remote

AI / Data Engineer, AI/ML-powered IoT Platform

Forvis Mazars in Qatar

<div>Job Summary

The IoT Expert is responsible for the design, development, and deployment of enterprise-grade Internet of Things (IoT) solutions, primarily leveraging cloud-based platforms. The role encompasses end-to-end IoT architecture, including devices, sensors, firmware, cloud integration, data processing, and user-facing applications. The incumbent will lead IoT use case development from concept through production rollout, supporting digital transformation initiatives across industrial, construction, and smart city environments.

Responsibilities

&sect; Design and Development of IOT solutions preferably on Azure cloud platform
&sect; Research, build, test, and document state-of-the-art IoT solutions with integrated electronics and firmware development
&sect; Subject Matter Expert in IoT Software platform, sensors/device, and protocols
&sect; To design innovative IoT services that communicate with server-side technologies and develop Stack solutions wherever necessary.
&sect; Stake holder communication, fixing the issues, documentation, Development, testing and deployment process.
&sect; Exp with Azure PaaS services like Stream Analytics, Azure IoT hub, Event hub, Azure function app development.
&sect; Lead front end application development for IOT Use cases and Applications.
&sect; Researching and planning POCs on emerging technologies
&sect; Collaborate with backend, platform teams for development and troubleshooting.
&sect; Proficient in JavaScript and Experience in frontend technologies like Angular, Reacts.
&sect; charting libraries like high charts, charts, responsive UI
&sect; Restful API and Webservices and development experience in c sharp, / NodeJS, unit testing, and basic knowledge of DevOps process.
&sect; Experience with Cloud Native, Microservice, Container and Serverless technologies
Qualifications
&sect; Bachelor in IT or relevant.
&sect; Relevance will be reviewed and confirmed by ISD in line with technical competencies of applicant.
Experience
&sect; Overall 12 Years of Relevant consulting or industry experience, with proven ability to build relationships with business and technology leaders
&sect; Relevant experience in defining selection criteria for IOT Technology providers (platform, hardware, software/0 and identifying suitable use cases
&sect; Experience in designing IOT use cases and solution blueprints working with business users and taking them from concept to rollout.
&sect; Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
&sect; Creative problem-solving skills and excellent communication Skill.
&sect; Industry / Enterprise IoT experience would be a distinct advantage
&sect; Ability to create critical collaterals for workshops and interactive sessions
&sect; Experience in working in the Construction / Smart City / Industrial IOT projects is necessary
&sect; Past Experience with Big 4 consulting firms preferred
Skills

&sect; IOT Platforms, Microsoft Azure IoT Services (or similar IOT public cloud)</div>

IOT Expert

HanmiGlobal Saudi

<div>HanmiGlobal is seeking a highly capable, self-driven IT &amp; Digital Systems Specialist who can independently design, build, implement, and maintain all required digital tools, dashboards, web platforms, and data integrations across the business.
This is not a support or team role. The successful candidate must be a self-starter and finisher, able to own delivery end-to-end without reliance on a wider IT project team.
The position directly supports executive leadership, operational reporting, and digital transformation initiatives across HanmiGlobal Middle East.
Core Accountability
Full ownership of all digital systems from concept build deployment maintenance improvement.
Key Responsibilities
1. Web Platforms &amp; Digital Infrastructure
Design, develop, host, secure, and maintain all company web platforms. Implement integrations with databases, dashboards, and internal systems. Manage uptime, cybersecurity, backups, and performance independently.
2. Power BI &amp; Executive Reporting.
Build and maintain executive-level Power BI dashboards with automated refresh.Integrate data from finance, HR, and project systems. Translate raw data into clear decision-making insights for leadership.
3. IoT &amp; Smart Data Integration
Configure and integrate IoT sensors/devices where required on projects. Connect real-time data streams to dashboards and monitoring tools. Support smart building, construction monitoring, and digital twin initiatives.
4. Advanced Excel, Automation &amp; Data Tools
Develop complex Excel models, VBA automation, and workflow tools. Eliminate manual processes through automation and systemization. Provide rapid analytical tools for leadership when required.
5. Independent IT Ownership
Operate as the sole technical delivery lead for digital systems in KSA. Troubleshoot, resolve, and maintain all systems without escalation. Coordinate only when necessary with HQ or external vendors. Proactively propose and implement efficiency and innovation improvements. 
Requirements 
Bachelor&rsquo;s degree in IT, Computer Science, Software Engineering, or similar.
5&ndash;8+ years&rsquo; hands-on experience delivering systems independently.
Proven ability to design build deploy maintain without team support.Strong capability in:
Power BI (essential).
Full-stack web development (HTML, CSS, JavaScript, PHP/.NET or equivalent).SQL databases &amp; data modelling. Advanced Excel &amp; VBA automation. Cloud environments (Azure preferred). Demonstrated problem-solving independence and accountability. Strong communication with senior executives (non-technical stakeholders).
Highly Desirable
Experience in construction, engineering, or real estate sectors. Exposure to IoT, BIM, digital twins, or smart buildings. Python, APIs, Power Automate, or data engineering tools. Cybersecurity awareness or Microsoft certifications.
Personal Profile (Critical for Success)
Self-starter and completer &mdash; requires minimal direction. Comfortable working alone with full responsibility. Structured, disciplined, and delivery-focused. Able to translate business needs into working systems quickly. Takes ownership rather than waiting for instruction.
Application Requirements
Submit: CV with evidence of independently delivered systems.
Portfolio of Power BI dashboards, web platforms, or automation tools.
Current &amp; expected salary. Notice period. 
Benefits 
Medical insurance, Annual leave &amp; flights per Saudi Labour Law. Performance-based bonus potential. Direct exposure to executive leadership &amp; major projects. Strong career growth within Vision 2030 programmes.</div>

IT & Digital Systems Specialist

Ausweg info controls pvt ltd

We&rsquo;re Hiring | IIoT Sales Manager - ExperiencedLocation: Coimbatore Company: Ausweg Info Controls Pvt. Ltd. Type: Full-time Vacancies: 6 PositionsRole OverviewWe are seeking a dynamic and result-oriented IIoT Sales Manager to lead Industrial IoT (IIoT) solution sales across manufacturing and process industries. The role involves strategic B2B sales, solution consulting, and revenue growth through smart factory and digital transformation initiatives.The ideal candidate should have strong industrial networking, consultative selling skills, and experience in high-value solution sales.Key ResponsibilitiesIIoT Business Development<ul><li>Drive sales of Industrial IoT solutions, smart monitoring systems, and data-driven automation platforms</li><li>Identify target industries (Manufacturing, Automotive, Textile, FMCG, Process Industries, etc.)</li><li>Generate and qualify high-value sales leads</li><li>Build and manage a strong sales pipeline</li><li>Promote IIoT as a productivity, predictive maintenance, and cost-optimization solution</li></ul>Solution Consulting &amp; Client Engagement<ul><li>Understand customer plant operations and digital transformation needs</li><li>Deliver product presentations, demos, and Proof of Concepts (PoCs)</li><li>Prepare customized IIoT proposals aligned with client requirements</li><li>Coordinate with technical and implementation teams for deployment planning</li></ul>Sales &amp; Revenue Closure<ul><li>Prepare techno-commercial proposals</li><li>Lead pricing discussions and contract negotiations</li><li>Manage complete sales lifecycle (Lead &rarr; Demo &rarr; Proposal &rarr; PO &rarr; Payment)</li><li>Achieve monthly, quarterly, and annual revenue targets</li></ul>Account &amp; Channel Management<ul><li>Develop and manage key industrial accounts</li><li>Build long-term customer relationships</li><li>Identify and onboard channel partners / system integrators</li><li>Maintain CRM reports, forecasts, and pipeline tracking</li></ul>Skills &amp; Competencies<ul><li>Strong knowledge of Industrial IoT (IIoT), Industry 4.0 concepts</li><li>Experience in B2B solution selling</li><li>Familiarity with PLC, SCADA, MES, Cloud Platforms, Edge Devices</li><li>Strong negotiation and stakeholder management skills</li><li>Target-driven with strategic thinking ability</li><li>Excellent communication and presentation skills</li></ul>Qualifications<ul><li>MBA (Marketing / Business Development) &ndash; Preferred</li><li>B.E (Any Discipline) &ndash; Mandatory</li></ul>Experience<ul><li>Minimum 6+ years of experience in Industrial Automation / IIoT / Smart Manufacturing sales</li><li>Proven track record in target achievement and project closures</li></ul>APPLY NOWEmail: hr@ausweginfocontrols.com Phone: +91 89259 03146Job Types: Full-time, PermanentPay: ₹25,000.00 - ₹30,000.00 per monthBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

IIoT Sales Manager

<div>
 Are you ready to help shape the future of AI? Join our dynamic Data Science Center of Excellence (CoE) and be at the forefront of transforming real business challenges into innovative, AI-powered solutions. As a Data Scientist in the CoE, you&rsquo;ll work with experienced data scientists, engineers, and business leaders to accelerate experimentation and deliver high-impact projects that drive business strategy forward.
 
 
 You&rsquo;ll play a pivotal role in both exploring new AI opportunities through experimentation and delivering robust data science solutions to address the highest-priority business needs. This is a fast-paced environment where flexibility is key&mdash;your ability to quickly adapt and pivot to urgent business deliverables will ensure you&rsquo;re making the biggest impact possible.
 
 
 This is your chance to dive deep into exciting AI and data science opportunities&mdash;from designing time-boxed experiments on critical business problems to developing models and solutions that make a measurable difference in areas like pricing, risk assessment, and customer engagement. You&rsquo;ll have the chance to learn, innovate, and contribute to best-in-class practices, all while collaborating globally with teams across the organization.
</div>

Manager-Data Science-Data Scientist

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