Responsibilities: Minimum of 6 Years of experience with SAP SD (with at least 1 or 2 end to end Implementation ) · Independently take up and participate in Business Blueprint workshops, Design End to End solution, Realization, Cut-over, Go Live and Post production support for at least three customer implementation projects in SAP SD / MM module. · The candidate must have strong design and implementation knowledge of either SAP SD or MM mainly covering Pricing, OTC process / Purchasing process, Master data, Enterprise elements and SD / MM - Finance integration. · Fundamental working knowledge of ABAP - covering Data Dictionary objects, Debugging and basic exposure to Exits will be an added advantage. · Should possess natural analytical way of thinking and troubleshooting issues.
Responsibilities: Minimum of 6 Years of experience with SAP SD (with at least 1 or 2 end to end Implementation ) Independently take up and participate in Business Blueprint workshops, Design End to End solution, Realization, Cut-over, Go Live and Post production support for at least three customer implementation projects in SAP SD / MM module. The candidate must have strong design and implementation knowledge of either SAP SD or MM mainly covering Pricing, OTC process / Purchasing process, Master data, Enterprise elements and SD / MM - Finance integration. Fundamental working knowledge of ABAP - covering Data Dictionary objects, Debugging and basic exposure to Exits will be an added advantage. Should possess natural analytical way of thinking and troubleshooting issues.
Strong communication and active listening skills, ensuring effective collaboration with stakeholders Strong listening skills, making it easier to comprehend varied speech patterns and pronunciations Ability to summarize discussions and capture key insights for action Open to learning, adapting, and applying thinking Solution-oriented and proactive mindset Good at time management, including the ability to tackle and complete tasks independently Ability to think critically and analyze complex situations logically Job Responsibilities Fundamental understanding of project planning, including scope, milestones, and dependencies Ability to track timelines and deliverables, supporting project execution and ensuring alignment with schedules Familiarity with RAID logs (Risks, Assumptions, Actions, Issues, Dependencies) and ability to assist in maintaining project documentation Assists in structured discussions, supporting stakeholders in driving actionable outcomes Fundamental proficiency in Power BI, SharePoint, and MS Project, supporting data visualization and reporting needs Ability to create simple presentations that effectively communicate project status and insights Supports project tracking mechanisms, ensuring milestone adherence and reporting inconsistencies Good business writing skills, contributing to structured reports and documentation Learns to utilize project tracking tools to monitor progress and generate reports Good at creating project-related materials, such as PowerPoint presentations, Excel models, articles, and other written work Analytical mindset to track and report project performance Ability to clean, process, and analyze raw data for business insights Basic knowledge of data modeling for structuring project analytics Strong focus on precision and accuracy in tasks.
🌍 We’re Hiring: Client Success Engineer – Implementation Full-time On site, Hyderabad As a Client Success Engineer, you will own the design and execution of scalable technical solutions during complex client onboarding and late-stage sales engagements. You’ll act as a trusted technical advisor, bridging discovery and delivery to ensure long-term client satisfaction. Responsibilities: Lead technical discovery and solution design for enterprise clients Develop and manage complex implementation plans Handle technical integrations (APIs, data feeds, FTPs) and advanced troubleshooting Partner cross-functionally with Product, Sales, and Engineering teams Mentor junior engineers and drive process improvements Build enablement materials such as guides, webinars, and documentation Requirements 3+ years of experience in client-facing technical roles (SaaS / Implementation / Solution Engineering) Strong expertise in API integrations (REST, SOAP), data feed formats (XML, JSON, CSV), and FTP protocols Excellent communication and stakeholder management skills Strong working knowledge of Excel and HTML A proactive, problem-solving mindset with the ability to manage multiple complex projects
Role Overview: As a Client Success Engineer at our company, you will be responsible for owning the design and execution of scalable technical solutions during complex client onboarding and late-stage sales engagements. Your role will involve acting as a trusted technical advisor, bridging discovery and delivery to ensure long-term client satisfaction. Key Responsibilities: - Lead technical discovery and solution design for enterprise clients - Develop and manage complex implementation plans - Handle technical integrations including APIs, data feeds, and FTPs, and advanced troubleshooting - Partner cross-functionally with Product, Sales, and Engineering teams - Mentor junior engineers and drive process improvements - Build enablement materials such as guides, webinars, and documentation Qualifications Required: - 3+ years of experience in client-facing technical roles (SaaS / Implementation / Solution Engineering) - Strong expertise in API integrations (REST, SOAP), data feed formats (XML, JSON, CSV), and FTP protocols - Excellent communication and stakeholder management skills - Strong working knowledge of Excel and HTML - A proactive, problem-solving mindset with the ability to manage multiple complex projects,
Required Qualifications: Bachelor’s degree in Computer Science, Machine Learning, AI, Statistics, or a related field. 4+ years of hands-on ML development experience. Proficiency in ML areas and frameworks, including: Supervised learning (classification, regression) Unsupervised learning (clustering, anomaly detection) Time-series analysis NLP (Natural Language Processing) Computer Vision Statistical modeling Ability to apply models to real-world use cases. Experience with data cleaning, feature engineering, model optimization, and evaluation metrics. Proficiency in Python and its data science libraries ( Pandas, NumPy, Scikit-learn ). Daily Responsibilities : Develop and maintain ML solutions, including data pipelines, model training, evaluation, and optimization. Collaborate with business stakeholders to gather and clarify requirements Translate business requirements into ML code that accurately reflects business logic Write efficient, maintainable, and well-documented ML solutions Participate in code reviews and follow established development standards Effectively analyze and select the best algorithms, optimize ML solutions for performance improvement and accuracy Create and maintain technical documentation for developed solutions Support testing activities and resolve data-related issues
Role Summary The Manufacturing Execution System (MES) Product Owner is responsible for defining the strategic vision, roadmap, and value realization of the MES platform. This role ensures alignment with the organization’s digital manufacturing and transformation strategy , maximizes business value through MES capabilities, manages vendor relationships, and oversees the product lifecycle — from concept through continuous improvement. Key Responsibilities Define, communicate, and maintain the MES product vision, strategy, and roadmap . Develop business cases and ROI models to justify MES initiatives and investments. Align the MES roadmap with corporate goals and digital transformation priorities . Manage budgets, timelines, and resource allocation for MES projects and enhancements. Collaborate closely with IT, Operations, and Quality teams to ensure scalability, reliability, and compliance. Stay informed on industry trends and emerging technologies (IoT, AI, Industry 4.0) to enhance MES functionality. Oversee vendor management , including solution evaluations, upgrades, and contract negotiations. Key Stakeholders Operations Leadership IT Leadership Finance Teams Quality Assurance Teams External Vendors Key Performance Indicators (KPIs) Strategic Roadmap Delivery: Percentage of milestones delivered on schedule. Business Value Realization: ROI and measurable outcomes from MES initiatives. Budget Adherence: Variance between planned and actual spending. System Scalability & Performance: Ability to support expansion and new functionalities. Stakeholder Satisfaction: Measured through surveys and feedback sessions. Desired Skills MES Strategy & Lifecycle Management: Strong understanding of MES architecture, implementation, and optimization. Vendor Management: Experience with major MES platforms such as AVEVA, Siemens, and Werum Pas-X. Financial Acumen: Proficiency in ROI modeling, budgeting, and cost optimization. Data Analytics & KPIs: Skilled at leveraging MES data for business intelligence and strategic decision-making. Industry 4.0 Knowledge: Familiarity with IoT, AI, and cloud-based MES solutions. Regulatory Awareness: Understanding of compliance standards such as CFR21 and ISO is a plus. Ideal Candidate Profile Strategic thinker with the ability to set and communicate a clear vision. Strong leadership and influencing capabilities across functions. Excellent communication, stakeholder management, and negotiation skills. Comfortable with ambiguity and adept at driving organizational change. High emotional intelligence and a collaborative, team-oriented mindset. Analytical, results-driven, and committed to continuous improvement.
Role Summary The Manufacturing Execution System (MES) Product Owner is responsible for defining the strategic vision, roadmap, and value realization of the MES platform. This role ensures alignment with the organization's digital manufacturing and transformation strategy , maximizes business value through MES capabilities, manages vendor relationships, and oversees the product lifecycle from concept through continuous improvement. Key Responsibilities Define, communicate, and maintain the MES product vision, strategy, and roadmap . Develop business cases and ROI models to justify MES initiatives and investments. Align the MES roadmap with corporate goals and digital transformation priorities . Manage budgets, timelines, and resource allocation for MES projects and enhancements. Collaborate closely with IT, Operations, and Quality teams to ensure scalability, reliability, and compliance. Stay informed on industry trends and emerging technologies (IoT, AI, Industry 4.0) to enhance MES functionality. Oversee vendor management , including solution evaluations, upgrades, and contract negotiations. Key Stakeholders Operations Leadership IT Leadership Finance Teams Quality Assurance Teams External Vendors Key Performance Indicators (KPIs) Strategic Roadmap Delivery: Percentage of milestones delivered on schedule. Business Value Realization: ROI and measurable outcomes from MES initiatives. Budget Adherence: Variance between planned and actual spending. System Scalability & Performance: Ability to support expansion and new functionalities. Stakeholder Satisfaction: Measured through surveys and feedback sessions. Desired Skills MES Strategy & Lifecycle Management: Strong understanding of MES architecture, implementation, and optimization. Vendor Management: Experience with major MES platforms such as AVEVA, Siemens, and Werum Pas-X. Financial Acumen: Proficiency in ROI modeling, budgeting, and cost optimization. Data Analytics & KPIs: Skilled at leveraging MES data for business intelligence and strategic decision-making. Industry 4.0 Knowledge: Familiarity with IoT, AI, and cloud-based MES solutions. Regulatory Awareness: Understanding of compliance standards such as CFR21 and ISO is a plus. Ideal Candidate Profile Strategic thinker with the ability to set and communicate a clear vision. Strong leadership and influencing capabilities across functions. Excellent communication, stakeholder management, and negotiation skills. Comfortable with ambiguity and adept at driving organizational change. High emotional intelligence and a collaborative, team-oriented mindset. Analytical, results-driven, and committed to continuous improvement.