Technical and Professional Requirements: 2+ Years Relevant Experience:1 E2E implementation, Support or Rollout experience Mandatory Skills: SAP Fieldglass (Contingent Workforce, Services Procurement & Profile Worker, Custom Reporting, Integration knowledge for SAP & Non-SAP applications, Data requirement & Connector functionality Experienced in SAP Fieldglass implementation, configurations, support, rollout and testing for Contingent Workforce, Services Procurement (SOW Based Services), Profile Worker, Custom Reporting, Integration Involved on creating master data configuration and reporting setup Extensive working knowledge of Integration setup SAP Fieldglass with SAP Ariba, SAP ECC or S/4HANA & SuccessFactors Integration experience with ASAPIO Cloud Integrator will be an added advantage Working experience of Agile/Activate Project Methodology Preferred Skills: Technology->SAP Functional->SAP Fieldglass Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Educational Requirements Bachelor of Engineering Service Line Enterprise Package Application Services
ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.
IT Business Analyst Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Exp: Overall 8-12 yrs, relevant of 6-7 years in IT BA in oil/gas, Energy, Manufacturing (Mandatory) Certifications: BA Certifications is a plus Skills: (This requirement is an IT requirement) Oil and gas/ Energy domain is mandatory Requirement Gathering, Agile + Scrum, User Stories, Project Roadmap, Backlogs ADO is preferred. Candidate who has experience in QA, API, Systems, will be a plus as its an IT role SAP and SFDC is nice to have. Great comm skills
Project Manager Hybrid/ Pune 2 days WFO, Time: 2-11 or 10-7 Exp: 5-10 yrs relevant exp in Project Management in oil/gas, Energy, Manufacturing (Mandatory) - Certifications: PMP (Mandatory), PMI, SAFe, CSM and other Certifications. Skills: (This requirement is an IT requirement) Oil and gas/ Energy domain is mandatory Stake holder management is mandatory Team Management Agile + Scrum is mandatory ADO is preferred. PI planning, Project roadmap Candidate who has experience handling multiple IT Projects in domains mentioned above SAP and SFDC is nice to have. Great comm skills
SAP MDG/SAP ECC experience (T codes, Tables structures etc) Azure Data lake /AWS/Data Bricks Leveraging SAP MDG/ECCs experience the candidate is able to deep dive to do root cause analysis for assigned use cases. Also able to work with Azure data lake (via data Bricks) using SQL/Python. Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to monitor on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed important for each individual business. Identifies financial impacts of Data Quality Issue. Also can identify business benefit (quantitative/qualitative) from a remediation standpoint along with managing implementation timelines. Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs Identifies business DQ rules basis which KPIs/Measures are stood up that feed into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality KPIs/Measures is needed. Also has experience owing and executing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives Highlights risk/hidden DQ issues to Lead/Manager for further guidance/escalation Support designing, building and deployment of data quality dashboards via PowerBI Determines escalation paths and constructs workflow and alerts which notify process and data owners of unresolved data quality issues Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) Works with business functions and projects to create data quality improvement plans Sets targets for data improvements / maturity. Monitors and intervenes when sufficient progress is not being made Supports initiatives which are driving data clean-up of existing data landscape Owns and develops relevant data quality work products as part of the DAS data change methodology Ensures data quality aspects are delivered as part of Gold and Silver data related change projects Supports the creation of business cases with insight into the cost of poor data
SoC NoC Verification Engineer - Lead India,Bangalore Full time Job Description SoC NoC Verification Lead with 10+ years of experience, the role typically expands to include leadership, strategic planning, and advanced debugging. This role involves developing test plans, writing verification code, debugging issues, and collaborating with design teams to validate complex interconnect systems. Key Responsibilities: Lead verification projects for complex SoC and NoC architectures. Develop advanced verification methodologies using SystemVerilog/UVM . Guide teams in debugging and resolving intricate design issues . Optimize performance, power, and coverage metrics . Work with high-speed interconnect protocols (AXI, CHI, PCIe, Ethernet, CXL, UCIe). Manage testbench architecture and automation frameworks .
Below are the Candidate Profile Expectations Must have end-to-end transition transformation management experience. Candidates must have functional transition management. Should have led transitions independently, not just supported them. Must be location and time-agnostic due to global coordination. Should be confident in stakeholder communication, including senior leadership. Must be able to articulate risks, manage escalations, and drive delivery. Due Diligence & Scoping: Engage with business and internal stakeholders. Document and report the current state ("as-is") of the business. Present findings to leadership and facilitate discussions. Coordination & Hiring: Coordinate with the hiring team at the receiving location. Track profiles and hiring progress. Knowledge Transfer & Training: Develop detailed training plans (duration, trainers, schedule). Conduct and track training sessions. Perform proficiency assessments post-training. Stabilization & Handover: Oversee the stabilization phase post-transition. Governance & Reporting: Participate in governance calls and weekly reviews. Report risks, performance issues, and mitigation plans. Maintain RAID logs (Risks, Actions, Issues, Dependencies). Profiles with Transaction Operations are not suitable so this will not be considered. Candidates with application/data migration experience are not suitable and will not be considered
Experience 8-10 years of experience in demand planning or related role in consumer goods, food & beverage, or manufacturing industries. Proven experience as a Demand Planner using an advanced digital Planning tool, desirably Kinaxis Maestro Strong analytical skills and proficiency in supply chain software (Kinaxis Maestro highly Mandatory) and ERP systems (SAP ECC, S4 Hana, JDE) Strong communication skills both written and verbal with the ability to work effectively with Commercial and Sales teams based in other countries Ability to manage multiple priorities in a dynamic and fast-paced environment. Requirements Bachelors degree in Supply Chain Management, Logistics, Business, or a related field (Masters preferred). Willingness to work in the morning shift (7 am to 4 pm IST) Role to be based out of the Pune office – 3 days a week
Experience 8-10 years of experience in demand planning or related role in consumer goods, food & beverage, or manufacturing industries. Proven experience as a Demand Planner using an advanced digital Planning tool, desirably Kinaxis Maestro Strong analytical skills and proficiency in supply chain software (Kinaxis Maestro highly Mandatory) and ERP systems (SAP ECC, S4 Hana, JDE) Strong communication skills both written and verbal with the ability to work effectively with Commercial and Sales teams based in other countries Ability to manage multiple priorities in a dynamic and fast-paced environment. Requirements Bachelors degree in Supply Chain Management, Logistics, Business, or a related field (Masters preferred). Willingness to work in the morning shift (7 am to 4 pm IST) Role to be based out of the Pune office 3 days a week
data scientist applies scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Their key responsibilities include collecting and analyzing large sets of data, using machine learning algorithms, statistical models, and data processing techniques to predict future trends and provide actionable insights. A machine learning engineer designs and develops artificial intelligence (AI) systems that can learn and make decisions autonomously. Their key responsibilities include creating and optimizing machine learning models, developing algorithms that enable machines to perform tasks without explicit programming, and working with large datasets to train these models. They collaborate with data scientists, software engineers, and domain experts to implement machine learning solutions that address specific business needs. Additionally, machine learning engineers are responsible for ensuring the scalability and efficiency of machine learning systems, continuously improving model performance through rigorous testing and validation, and staying updated with the latest advancements in the field to integrate cutting-edge techniques into their work. What you will deliver Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. What you will need to be successful (experience and qualifications) Essential Bachelors / Masters / PhD degree in Computer Science, Engineering or any equivalent field. Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Thorough understanding of underlying mathematical foundations of machine learning and deep learning. 7+ Years of development experience in Python programming languages Advanced SQL knowledge. Experience with Python libraries and frameworks like NumPy, Pandas, PySpark, matplotlib, Flask, FastAPI, scikit-learn, TensorFlow, PyTorch. Strong skills in software engineering, data processing, analytics and data visualization libraries Proficiency in data structures, algorithms, building and maintaining data pipelines. Strong problem-solving and analytical skills. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong stakeholder management and ability to lead large organizations through influence. Desired Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Experience with GenAI Technologies is a plus. Knowledge of experimental design and analysis is a plus. No prior experience in the energy sector required
Maintenance Planner- Fabrication / Integrity/ Static and rotary Domain- Oil and Gas Role Level (Experience)5-15 yrs Notice period- Max 30 days Primary Skills • Proven hands-on experience in Maintenance, including fabrication, painting, and insulation activities • Awareness of Different codes and standards for Maintenance • Strong capability in resource identification, material estimation, and cost forecasting. • Effective stakeholder management skills, with the ability to collaborate across teams. • Experience in planning work orders using SAP or FIORI platforms. • planning and scheduling expertise, particularly in maintenance frameworks. • Proficiency in CMMS computerized systems or primavera and digital tools used in job planning. • Excellent communication skills for coordination with both onshore and offshore teams. Secondary Skills • Experienced with SAP, Fiori, Digital Twin, primavera, cmms • Good Communication Verbal & Written • Stakeholder Management • Meeting facilitation skills • Oil and Gas Ways of working
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