Process Manager

Regional Head of Excellence - Direct & Indirect Sourcing

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

AI Lead

Product Specialist

Sr. Business Development Manager - Process Automation

Decoupling Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems Gurugram/New York

Role Description: <ul><li>As a process manager with our client, you will focus on delivering results today and implementing changes that shape the future.</li><li>You will be assigned a specific area within the process chain where you’ll take responsibility for process outcomes and risk management.</li><li>Due to the rapidly evolving energy market, our client’s team needs to expand to ensure timely and complete implementation of essential process changes.</li><li>In the coming period, we are seeking reinforcement for initiatives like the implementation of the new energy law, expected to take effect in mid-2025</li><li>Additionally, our client aims to further professionalize billing chains and settlement processes with other market participants in the energy sector.</li><li>Our client’s objective is to deliver optimal process performance and an outstanding customer experience (NPS) for business clients.</li><li>Key areas of focus include enhancing the customer journey and advancing the digitization and automation of customer processes.</li></ul> Responsibilities: <ul><li>Identify and implement cross-chain process optimizations and projects within commercial and service operations.</li><li>Prepare for the implementation of the new energy law.</li><li>Develop process flows, customer journeys, work instructions, and training materials.</li><li>Lead the change process and execute system changes within sourcing, CRM, or billing systems, as well as the online business environment.</li><li>Conduct data analysis to support business cases or process analysis.</li><li>Support digitalization goals through automation and AI initiatives.</li><li>Enhance NPS scores for business clients.</li><li>Our client is focused on the marketing, sales, and service needs of business customers. The Process Management team comprises ambitious professionals preparing the business process chain for a customer-centered, sustainable future. The team operates with an agile structure where process managers contribute in multiple roles. You will report directly to the Manager of Process Management for the Business Market.</li></ul> Requirements: <ul><li>We are looking for a proactive, experienced process manager with a natural drive for improvement.</li><li>You are capable of managing cross-functional projects and process optimizations.</li><li>Your critical, solution-oriented mindset helps you consistently deliver value to customers and the organization.</li><li>Key qualities include a result-oriented and customer-centered approach, strong problem analysis skills, and effective collaboration.</li><li>You bring expertise in process design, user story development, and requirement gathering to drive improvements.</li><li>You use data analysis and customer feedback to pinpoint opportunities, convincingly guiding stakeholders through change in a dynamic environment.</li><li>Minimum of 5 years of relevant experience, such as in process management, product ownership, or product management; experience in consultancy and/or the energy market is a plus.</li><li>Demonstrated success in optimizing complex processes and achieving strong operational results.</li><li>Proficiency in analyzing and refining processes and creating requirements, process flows, and business cases.</li><li>Strong data analysis skills and the ability to base improvement strategies on factual insights.</li><li>Proficient in Dutch, both written and spoken.</li><li>Experience with Lean Sigma methodologies is an advantage.</li></ul>

Responsibilities: Sourcing Standardization &amp; Alignment: <ul><li>Act as the expert for sourcing compliance, providing expert guidance, and resolving any discrepancies between Group guidelines and local realities.</li><li>Monitor compliance through KPIs that drive performance and results.</li><li>Partner with global excellence teams to tailor Group norms to the SAPMENA context, leveraging regional successes to enhance global standards.</li></ul> Process Optimization &amp; Innovation: <ul><li>Drive the simplification and optimization of sourcing processes, systems, and tools across the region, working in close partnership with Sourcing management.</li><li>Identify and champion the adoption of new technologies, like Generative AI, to further streamline workflows, automate tasks, and empower sourcing teams.</li><li>Continuously evaluate and improve the training programs for sourcing-related systems and tools.</li></ul> Sustainability &amp; Compliance Leadership: <ul><li>Embed sustainability and ethical sourcing practices as integral components of the SAPMENA sourcing landscape.</li><li>Collaborate with Sourcing teams to translate Group-level sustainability and compliance KPIs into tangible actions and guidelines for local implementation.</li><li>Provide ongoing support and guidance to local teams, empowering them to achieve and surpass ambitious sustainability and compliance targets.</li></ul> Data Integrity &amp; Transparency: <ul><li>Implement mechanisms to ensure the accuracy, consistency, and accessibility of sourcing data across all SAPMENA entities.</li><li>Develop and utilize insightful reporting dashboards to track key performance indicators, monitor progress towards targets, and identify areas for optimization.</li></ul> Best Practice Sharing &amp; Knowledge Management: <ul><li>Foster a culture of knowledge sharing and continuous improvement within the excellence community and represent SAPMENA in worldwide forums</li><li>Assess the sourcing teams knowledge and drive training initiatives to address the gaps</li><li>Launch engaging excellence campaigns that inspire and mobilize the organization to embrace and implement best-in-class sourcing practices.</li><li>Represent the Sourcing Excellence team in worldwide meetings, discussions and workshops.</li></ul> Requirements: <ul><li>Bachelors degree required (MBA preferable); a focus on Finance is a plus.</li><li>Minimum of 10 years of proven experience in Sourcing, Internal Control, and/or project management related to tool implementation , process optimization or sustainability.</li><li>Experience in regional or global roles is highly desirable.</li><li>Excellent analytical skills, with a demonstrated ability to gather, analyze, and interpret complex data to drive strategic decisions.</li><li>Outstanding communication and interpersonal skills, capable of effectively conveying information and building strong relationships with both corporate stakeholders and country teams.&nbsp;</li></ul>

Responsibilities: <ul><li>In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where operates.&nbsp;</li><li>Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.</li><li>All decisions and recommendations should be backed by data.&nbsp;</li><li>While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us .&nbsp;</li><li> Responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.</li><li>Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources</li><li>Create and manage data models to ensure data integrity and accessibility for analytics and reporting.Optimize and maintain databases (SQL, NoSQL) to ensure high performance and availability.</li><li>Implement data validation and monitoring processes to ensure data accuracy and reliability.</li></ul> Requirements: <ul><li>Degree in Software side - IT, CSC, BTech, MTech, MCA, Specialization in Data Science, Data engineering. Avoid candidates with Educational background in mechanical, civil and electrical engineering.&nbsp;</li><li>4+ years of data engineering experience.</li><li>Should be able to explain relevant experience in products or services worked for. Need candidates from service or product industry - data management / data analysis.&nbsp;</li><li>Proficiency with AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT</li><li>Experience with AWS Components</li><li>Experience in developing and maintaining data pipelines on AWS and Databricks</li><li>Coding proficiency with Python and SQL</li><li>Should have experience in generating reports from Dashboards like power BI, Tableau Qlik sense</li><li>Experience with software testing practices and DevOps practices</li><li>Understanding of cybersecurity guidelines, data privacy and compliancy regulations</li><li>Experience in working with IoT telemetry data, enterprise data landscapes and data structures</li><li>Experience in data engineering methods and practice</li><li>Experience in data engineering process improvements</li><li>Experience with industry best practices and technical design principles</li><li>In-depth process and data knowledge for the business domain</li><li>Additional responsibilities such as leading task forces and defect triages.&nbsp;</li></ul>

Responsibilities: <ul><li>Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.&nbsp;&nbsp;</li><li>Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.&nbsp;&nbsp;</li><li>Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.&nbsp;&nbsp;</li><li>Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.&nbsp;</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.&nbsp;</li><li>Contribute to the establishment of best practices and standards for generative AI development within the organization.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience&nbsp;</li><li>Minimum of five years of related work experience&nbsp;</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks&nbsp;</li><li>Have deep understanding of industry leading Foundation Model capabilities and its application.&nbsp;&nbsp;</li><li>You are familiar with cloud-based Generative AI platforms and services&nbsp;</li><li>Full stack software engineering experience to build products using Foundation Models&nbsp;</li><li>Confirmed experience architecting applications, databases, services or integrations&nbsp;</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: <ul><li>Offering Enhanced Solution Delivery to Process Automation, Power Transmission &amp; Distribution, and Power Generation industries helping customers jumpstart to digital focusing on asset optimization, efficiency and &amp; thereby cost savings.</li><li>Dealing with customers on solutions that have a combination of technology and business process re-engineering that comprises end-end solutions covering IT (CRM platforms, Enterprise Content Management), OT, Security, Cloud Technologies, Data Analytics, and dash-boarding / visualization solutions, Smart Manufacturing/Industry 4.0</li><li>Participating and presenting in industry-specific events while liaising with key stakeholders in Govt sectors and building Go-To-Market plans.&nbsp;</li><li>Assessing future market trends in the industry and offering recommendations and closely working with internal sales to build a healthy funnel of projects.&nbsp;</li><li>Explore AI, Digital Twins, etc. to gain insights and strategic competitive advantage&amp; drive strategic initiatives with large accounts and end-user seminars.&nbsp;</li><li>Closely work with the internal strategic team to support and build eco-system partners to enhance solutions and customer experience.&nbsp;</li><li>Engaging with customers, and consultants, and mapping key stakeholders in an organization to educate and promote company solutions &amp; being a speaker to present company Enhanced Solutions to customers and industry events.&nbsp;</li><li>Managing end-to-end operations in the visualization of the shop floor to ensure enhanced production efficiency, quality, and reduced downtime.&nbsp;</li></ul> Requirements: <ul><li>Education – Degree in relevant discipline with a minimum of 10+ years’ sales experience in the Automation sector.</li><li>Markets – Technically strong and familiar with smart manufacturing that covers – IoT, networking, security, edge, and cloud solutions.&nbsp;</li><li>Should understand the entire automation process from the field to the control center/cloud. Experience in project sales with industry connections at every level with End Users, Consultants, System Integrators, and EPCs.&nbsp;</li><li>Relevant knowledge of field-level process areas in manufacturing will be an added advantage.&nbsp;</li><li>Customers Define our Success – Should be able to independently conduct presentations and should be good at articulating business cases to customers/partners and senior management.&nbsp;</li><li>Organizational leadership skills - aggressive in achieving results, while collaborating and communicating effectively with other members of the team and partners.</li><li>Relevant Industry Experience – Process, Pharma, Metal, Mining, CPG, Cement, and other manufacturing industries.</li><li>Strong connections with consultants will be an added advantage.&nbsp;</li><li>Must have connections with C-level executives at the end-user level.&nbsp;</li><li>Should have connections with major SIs and EPC contractors in this space.&nbsp;</li><li>A good social network will be preferred.</li></ul>

Responsibilities: <ul><li>Experience &amp; knowledge with Digital commerce, Hyper personalization, connected experience and able to articulate new systems around the theme.</li><li>Able to understand the downstream business process which stitches the technology and platforms for a new age Airline solution</li><li>Completely understands concept of Cloud Native, on ground journey to cloud success deliveries carried out, Scaled Enterprise Integrations done for larger transformation and consolidation systems for multiple organizations</li><li>Experience in orchestrating the solution shape up of large-scale processing and business services projects</li><li>Create business arch models that reflect client strategies and goals to cover the entire digital transformation journeys in IT landscape</li><li>Find ways in which to improve client IT departments functions to support client future goals mainly for all the digital platform landscape covering, Interactive, Mobility, Integrations Cloud systems</li><li>Deliver Technical Specifications end to end.</li><li>Design custom development solution that meet customer requirements</li><li>Progress through full development lifecycle for custom solution</li><li>Strong collaboration with team software engineer consultants onshore &amp; offshore</li><li>Deploy new solutions to production environments</li><li>Innovate on new ideas to solve customer needs &amp; assist to market internally new solutions</li><li>Provide project estimates and timelines to drive new business</li></ul> Requirements: <ul><li>Experience &amp; knowledge with Azure Cloud platforms. Strong Cloud Native knowledge</li><li>Good understanding of Amadeus reservation, ticketing, payment and loyalty solutions</li><li>Able to explore Amadeus core capabilities and enhance via orchestration with 3rd party partner services</li><li>Good experience in working with Payment aggregators</li><li>Experience &amp; knowledge with Web Analytics or Digital Marketing, Deep Understanding is must</li><li>Experience &amp; knowledge with FED frameworks like Angular, Native mobile mainly from Design aspects</li><li>Experience &amp; knowledge with Digital Integration / API Middleware platforms. Strong in Integration Architecture concepts</li><li>Experience &amp; knowledge with GenAI, ML/AI. Good to have knowledge</li><li>Experience &amp; knowledge with Customer Data Platform (CDP). Any tool knowledge</li><li>Experience as an enterprise technical or engineer consultant</li></ul>

Responsibilities:Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.Integrate new AI services across the platform and Aladdin application ecosystem. Refine business and functional requirements and translate them into scalable technical designs.Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.Apply quality software engineering practices throughout the software development lifecycle.Optimize the software delivery and workflow of the team. Work with team members in a multi-office, multi-country environment.Requirements:B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.Proficiency and hands-on experience in object-oriented programming with Java and Python.Proficiency in designing and building scalable APIs and Microservices.Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.Ability to reverse engineering existing applications.Grit in the face of technical obstacles Experience working in Agile development teams with excellent collaboration skills.

Responsibilities: <ul><li>Design and build the next generation of the worlds best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.</li><li>Integrate new AI services across the platform and Aladdin application ecosystem.&nbsp;</li><li>Refine business and functional requirements and translate them into scalable technical designs.</li><li>Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.</li><li>Apply quality software engineering practices throughout the software development lifecycle.</li><li>Optimize the software delivery and workflow of the team.&nbsp;</li><li>Work with team members in a multi-office, multi-country environment.</li></ul> Requirements: <ul><li>B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.</li><li>Proficiency and hands-on experience in object-oriented programming with Java and Python.</li><li>Proficiency in designing and building scalable APIs and Microservices.</li><li>Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.</li><li>Ability to reverse engineering existing applications.</li><li>Grit in the face of technical obstacles&nbsp;</li><li>Experience working in Agile development teams with excellent collaboration skills.</li></ul>

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14 ai Jobs found

Process Manager

Regional Head of Excellence - Direct & Indirect Sourcing

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

AI Lead

Product Specialist

Sr. Business Development Manager - Process Automation

Decoupling Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems Gurugram/New York

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14 ai Jobs found

Process Manager

Regional Head of Excellence - Direct & Indirect Sourcing

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

AI Lead

Product Specialist

Sr. Business Development Manager - Process Automation

Decoupling Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems Gurugram/New York

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

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