data science and iot manager

NAFFCO FZCO

<p><strong>Job Purpose:</strong></p><p>To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.</p><br/><h3><strong>Key Responsibilities:</strong></h3><p>· <strong>AI Module Development & Integration</strong> – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.</p><p>· <strong>Machine Learning Model Lifecycle</strong> – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.</p><p>· <strong>System & Platform Integration</strong> – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.</p><p>· <strong>Model Training</strong>– Prepare data, select algorithms, and train models with high accuracy and scalability.</p><p>· <strong>Production Deployment</strong> – Deploy, monitor, and optimize ML models in production environments (cloud and edge).</p><p>· Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.</p><br/><h3><strong>Qualifications & Skills:</strong></h3><p>· Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.</p><p>· Strong expertise in <strong>AI/ML frameworks</strong> (TensorFlow, PyTorch, Scikit-Learn).</p><p>· Proven hands-on experience in <strong>ML model training and production deployment</strong>.</p><p>· Solid understanding of <strong>IoT/IIoT platforms</strong> (AWS IoT, Azure IoT, or custom).</p><p>· Experience in <strong>data engineering & API integration</strong>.</p><p>· Familiarity with <strong>cloud platforms</strong> (AWS, Azure, GCP) and <strong>containerization</strong>(Docker, Kubernetes).</p><h3><strong>Key Competencies:</strong></h3><p>· End-to-end ownership of ML model lifecycle.</p><p>· Strong analytical and problem-solving skills.</p><p>· Ability to bridge technical solutions with business impact.</p><br/>

AI Module Development Engineer – IoT & Digital Platforms

Oman Data Park

<div>
 <p>
  J
  <strong>
   ob Purpose:
  </strong>
 </p>
 <p>
  We are seeking a dynamic and experienced IoT Partners Ecosystem Manager to join our team and play a pivotal role in driving the growth and success of our IoT solutions and services. The ideal candidate will be a strategic thinker, adept at cultivating and managing partnerships, and possessing a deep understanding of the Internet of Things (IoT) landscape. As the IoT Partners Ecosystem Manager, you will be responsible for establishing and executing the partner strategy, nurturing relationships with key partners, and supporting the commercial function in delivering compelling and successful IoT propositions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Partner Ecosystem Strategy:
  </strong>
 </p>
 <ul>
  <li>
   Develop and execute a comprehensive partner ecosystem strategy aligned with the company's business objectives and market opportunities.
  </li>
  <li>
   Identify, evaluate, and onboard strategic partners for all solutions, from Oman and abroad, including technology providers, solution integrators, resellers, and other relevant stakeholders
  </li>
  <li>
   Continuously assess and adjust the partner strategy based on market trends, competitive analysis, and emerging technologies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Partnership Development (alone or supervising team members)
  </strong>
 </p>
 <ul>
  <li>
   Assess potential vendors for quality, delivery, cost, and compliance factors (with support of the technology team).
  </li>
  <li>
   Build and maintain strong relationships with existing and potential partners, fostering collaboration and mutual growth.
  </li>
  <li>
   Lead end-to-end contract process with partners
  </li>
  <li>
   Develop a partner development program in support of a strong and long-term relationship
  </li>
  <li>
   Collaborate with partners to co-create innovative IoT solutions that address market needs and drive revenue growth.
  </li>
  <li>
   Facilitate effective communication and alignment between cross-functional teams, including sales, marketing, product development, and technical support.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Commercial Proposition Support:
  </strong>
 </p>
 <ul>
  <li>
   Work closely with the commercial team to understand customer needs and market demands, and provide strategic input to develop compelling and differentiated IoT propositions.
  </li>
  <li>
   Leverage partner capabilities to enhance the value proposition of IoT offerings, ensuring they meet customer requirements and deliver exceptional business outcomes.
  </li>
  <li>
   Build smart and creative partnerships and alliances on request
  </li>
  <li>
   Support the commercial function in crafting sales strategies, pricing models, and go-to-market plans that maximize partner contributions.
  </li>
  <li>
   Prepare solutions discovery workshops for clients/market, mobilising and promoting partners
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  P
  <strong>
   erformance Tracking and Optimization:
  </strong>
 </p>
 <ul>
  <li>
   Establish key performance indicators (KPIs) for the partner ecosystem, track partner engagement, revenue generation, and other relevant metrics.
  </li>
  <li>
   Analyze partner performance data to identify opportunities for optimization, growth, and continuous improvement.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Industry Networking and Thought Leadership:
  </strong>
 </p>
 <ul>
  <li>
   Represent the company at industry events, conferences, and forums to build the company's presence within the IoT ecosystem.
  </li>
  <li>
   Stay informed about IoT market trends, emerging technologies, and competitive landscape to drive innovation and maintain thought leadership.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Business, Marketing, Engineering, or a related field (Master's degree preferred).
  </li>
  <li>
   Minimum of 8 years of experience in managing IoT partnerships, ecosystem development, or related roles.
  </li>
  <li>
   Strong understanding of IoT technologies, trends, and market dynamics.
  </li>
  <li>
   Excellent interpersonal, negotiation, and communication skills.
  </li>
  <li>
   Strategic thinker with the ability to drive results through collaboration and influence.
  </li>
  <li>
   An analytical mindset with the ability to interpret data and make data-driven decisions.
  </li>
  <li>
   Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
  </li>
  <li>
   Willingness to travel as needed for partner meetings, industry events, and business engagements.
  </li>
 </ul>
 <p>
 </p>
</div>


IOT Partners Ecosystem Manager

Al-Futtaim Automotive

Overview <p>Data Science Manager - Operations at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance. Focus areas include predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.</p> What You Will Do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required Skills To Be Successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About The Team <p>You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.</p> What Equips You For The Role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive <p>A major division of the UAE-based Al-Futtaim Group, Al-Futtaim Automotive operates in 10 countries across the Middle East, Asia and Africa. We distribute, manufacture, lease and provide aftersales services for brands including Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are focused on delivering world-class omni-channel experiences and mobility solutions, supported by a 9,000-person team.</p> Job Details <ul><li>Seniority level: Mid-Senior level</li><li>Employment type: Full-time</li><li>Job function: Engineering and Information Technology</li><li>Industries: Motor Vehicle Manufacturing</li></ul><p>Location: Abu Dhabi, United Arab Emirates</p><img src="https://www.jobg8.com/Tracking.aspx?%2fh34g3pSz%2f5bU2YP0yWr4knhQoc5YqwEp" width="0" height="0" />

Data Science Manager - Operations Al-Futtaim Automotive

Robinson & Co (Singapore) Pte Ltd

Overview <p>Data Science Manager (Operations) at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.</p> What you will do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required skills to be successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About the team <p>You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.</p> What equips you for the role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive <p>A major division of the UAE-based Al-Futtaim Group of companies, <b>Al-Futtaim Automotive</b> is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities include distribution, manufacturing, leasing and aftersales, and we are the regional representative of brands such as Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, pushing innovation, quality standards, and value-added service across our customer base. Our mission is to become the leader in mobility solutions by delivering world-class omni-channel experiences. We employ a 9,000-member team with growth opportunities across the career path. This is Al-Futtaim Automotive and we empower talent to move forward.</p><img src="https://www.jobg8.com/Tracking.aspx?n5tSDoUM%2b4YXVWZZgy8zIrp9EqF8t9BKj" width="0" height="0" />

Overview Of The Role <p>As a Data Science Manager (Operations) at Al-Futtaim Automotive, you will lead AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.</p> What You Will Do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required Skills To Be Successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About The Team <p>You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.</p> What Equips You For The Role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive <p>A major division of the UAE-based Al-Futtaim Group of companies, <b>Al-Futtaim Automotive</b> is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world's most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. <b>This is Al-Futtaim Automotive and we empower talent to move forward.</b></p> Seniority level <ul><li>Not Applicable</li></ul> Employment type <ul><li>Full-time</li></ul> Job function <ul><li>Engineering and Information Technology</li></ul> Industries <ul><li>Retail</li></ul><img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV%2bpkZIvbqNP5Qm1WWCbyzziw" width="0" height="0" />

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 90706
</div></div></div></div><div><div><div><div>Date: Oct 24, 2025
</div></div></div></div><div><div><div><div>Location: Mumbai
</div></div></div></div><div><div><div><div>Designation: Manager
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div><ul><li>Candidate should have a total of 7+ years of experience and 5+ years of relevant experience in data science.</li><li>Candidate should have worked extensively in traditional data modelling, understanding of statistics, predictive analytics and descriptive analytics</li><li>Candidate should have in depth knowledge of Python, R, PySpark and SQL</li><li>Experience in analysing the business problem and translating into a statistical hypothesis and data science algorithms</li><li>Candidate should also have strong expertise in using statistical tools Azure DB SQL and SAS tool</li><li>Good to be a statistical mathematician in academics and compulsory to have good communication skills and lead junior data scientists to complete the assigned tasks</li><li>Should be able to clearly illustrate cost benefit analysis of different machine learning models under proposal and also the production models from time to time. The data scientist needs to provide consulting and advisory services to client on how to best develop a relevant ML, predictive or descriptive model and also suggest more improvements on the existing parameters / variables that are being utilized.</li></ul><p>
Compulsory to have good communication skills and is to be based out of Mumbai</p></div></div></div></div></div><p></p>

Manager | Data Science-ML | Mumbai | Artificial Intelligence & Data

Yokogawa

<div><div>Not just a job, but a career</div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div>
About the Team<br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div>
Job Purpose</div><ul><li>
In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</li><li>
Design and develop AI /ML models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.</li><li>
Implement Analytical AI techniques (supervised/unsupervised learning, reinforcement learning) for predictive maintenance, defect elimination, and asset strategy optimization</li><li>
Use AI /ML to analyze trends and patterns, make intelligent recommendations, and automate decision support systems.</li><li>
Develop intelligent recommendations systems that improve maintenance processes, criticality assessments, and reliability analytics.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems.</li><li>
To oversee the expansion of our advanced automation and digital transformation solutions (AI/ML) and services into new asset developments and brownfield optimization projects across several industrial markets</li></ul><div></div><div>
Key Responsibilities &amp; Accountabilities</div><ul><li>
Knowledge of software development process and technical skills: Lead AI /ML Engineer must know the technical aspects of projects to identify risks, propose immediate solutions and provide guidance for Digital transformation solutions.</li><li>
Define the AI/ML strategy and roadmap for oil &amp; gas solutions, aligning with Yokogawa&rsquo;s digital transformation objectives.</li><li>
Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.</li><li>
The objective is to understand your customer&rsquo;s business objectives to align with Yokogawa capabilities and solutions. In this role you will lead other Yokogawa key contributors in an overall strategy to implement solutions that will contribute to customer business objectives in a way that is meaningful and measurable in the areas of AI/ML solutions.</li><li>
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.</li><li>
Make strategy, implement initiatives &amp; measures to help position AI/ML solutions to achieve long term sustainability and profitability on establishing site services orders, management of warranty &amp; post-delivery support for YUAE business.</li><li>
Report to Department Manager-Advanced Solutions Department on job progress, issues and resolutions and manpower-mapping for effective delivery of solution.</li><li>
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.</li></ul><div></div><div><div>
Qualification and Experience</div></div><ul><li>
A bachelor&rsquo;s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master&rsquo;s degree is preferable.</li><li>
Minimum 15 years of experience.</li></ul><div></div><div>
Competencies</div><ul><li>
Develop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.</li><li>
Perform model performance tuning to ensure reliability and scalability under production environments.</li><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.</li><li>
Proactively addresses potential risks related to data privacy, model bias, and operational safety.</li><li>
Capable of managing field surveys, designing automation functions, and ensuring compliance with project quality standards.</li><li>
Capable of overseeing multiple projects, ensuring the successful delivery of projects involving advanced automation technologies including AI/ML and managing all aspects of project execution</li><li>
Deep technical knowledge in process solutions and expertise in specialty Chemicals &amp; Process, including understanding Chemical Properties, Manufacturing Processes, Operations and Industry-specific challenges</li><li>
Stay updated on the latest trends, technologies, and regulations in the specialty chemicals &amp; Process industry and provide insights that influence product/service/solution development and strategic planning</li><li>
Customer Focus with Strategic Mindset</li><li>
Proven track record of field experience and technical skills</li><li>
Excellent verbal and written communication skills</li><li>
Good leadership skills</li></ul><div></div><div>
Skills</div><ul><li>
Knowledge and experience in implementing AI /ML Project</li><li>
Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc</li><li>
Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.</li><li>
Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li><li>
Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.</li><li>
Knowledge of working on DCS platforms.</li><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
This position is best filled by someone with a firm understanding and knowledge in AI /ML with data science background with having process Plant Operations -Onshore /Offshore/Refining -Upstream, Midstream &amp; downstream with Process Automation/Process Control in both discrete and continuous manufacturing.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

Solutions Manager -AI & ML -Digitalization Project

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Manager | Data Science-ML | Mumbai | Artificial Intelligence & Data

Solutions Manager -AI & ML -Digitalization Project