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3.0 - 7.0 years
0 Lacs
tiruchirappalli, tamil nadu
On-site
As a Business Systems Analyst specializing in MES (Apriso), you will be responsible for analyzing, configuring, and maintaining MES systems. Your key focus will be on ensuring the smooth operation of MES systems, with a strong emphasis on bug fixes and system processes. You must have a minimum of 3 years of experience in a similar role. Your primary responsibility will be to work closely with development and operations teams to address any issues that may arise and to optimize the performance of the MES systems. Strong experience with MES systems, particularly Apriso, is mandatory for this role. This is a contract position based in Sunnyvale, CA, requiring 100% onsite presence for 5 days a week. Relocation candidates are welcome to apply, provided they are willing to relocate at their own expense. In addition to a competitive hourly rate, you will be eligible for dental, health, and vision insurance benefits. To be considered for this role, please indicate your years of experience with MES (Apriso), your expected hourly rate, and your willingness to work 100% onsite in Sunnyvale, CA. If you are a detail-oriented individual with a solid understanding of MES systems and a track record of successful system analysis and configuration, we encourage you to apply for this exciting opportunity.,
Posted 2 weeks ago
7.0 - 11.0 years
0 Lacs
hyderabad, telangana
On-site
We have an immediate job opportunity for you as an AM/Manager/Senior Manager in Funds Accounting focusing on Open-end or Closed-end Fund Accounting with Bank Debt experience mandatory. The shift timings for this role are from 2:00 PM IST to 11:00 PM IST. The job is based in Hyderabad. We are seeking a mid-level fund accounting professional to join our Funds Accounting team, specifically with experience in Open-end or Closed-end Fund Accounting with Bank Debt operations. In this role, you will collaborate with internal teams and client-side stakeholders, including Fund Administrators, Relationship Managers, and Operations teams in the U.S. This position provides the opportunity to work on intricate fund structures and gain practical experience in Bank Debt operations. The ideal candidate should possess at least 7 years of relevant experience in Funds Accounting related to Open-end or Closed-end Fund Accounting with mandatory Bank Debt experience in the financial services industry. A strong understanding of credit fund structures like Master-Feeder, SPVs, and Blockers is crucial for this role. Key Responsibilities: - Support day-to-day fund accounting operations for Open-end or Closed-end Fund Accounting with Bank Debt experience mandatory. - Assist in managing P&L allocations across complex fund structures such as Master-Feeder, SPVs, and Blockers. - Perform or support calculations related to waterfalls, capital calls, and distributions. - Ensure compliance with operational procedures, checklists, and client-specific SLAs. - Prepare NAV packages and assist in monthly/quarterly financial reporting. - Support cash reconciliation, expense processing, and tracking of loan activities (Term Loans, Revolvers, Unitranche, CLOs, etc.). - Assist with audit support, compliance reporting, and investor reporting deliverables. - Utilize fund accounting platforms like Investran, Geneva, or Efront. - Collaborate with team members to enhance process efficiency and contribute to SOP documentation. - Participate in system/process improvement initiatives and ongoing project work. Qualifications & Experience: - Bachelor's degree in Accounting, Finance, Business, or Economics (or equivalent). - Over 10 years of fund accounting experience, with a minimum of 7 years specializing in Funds Accounting focused on Open-end or Closed-end Fund Accounting with mandatory Bank Debt experience. - Experience with Term Loans, Revolvers, Unitranche, Bridge Loans, DDTL, and CLOs. - Understanding of Amortization of OID, Premium, Discount, Loan Lifecycle, Letter of Credit, Covenant Tracking, and Loan Settlements. - Knowledge of capital calls, distributions, management fees, and PCAP allocations. - Familiarity with performance metrics like IRR (Gross/Net), waterfall calculations, hurdle rate, catch-up, and carry. - Hands-on experience with financial statements and trial balances. - Preferred experience using Investran or similar fund accounting platforms. - Strong attention to detail, ability to work with multi-entity and multi-currency structures. - Good communication and collaboration skills.,
Posted 1 month ago
5.0 - 9.0 years
0 Lacs
haryana
On-site
As an AI/ML Specialist, you will be responsible for building intelligent systems utilizing OT sensor data and Azure ML tools. Your primary focus will be collaborating with data scientists, engineers, and operations teams to develop scalable AI solutions addressing critical manufacturing issues such as predictive maintenance, process optimization, and anomaly detection. This role involves bridging the edge and cloud environments by deploying AI solutions to run effectively on either cloud platforms or industrial edge devices. Your key functions will include designing and developing ML models using time-series sensor data from OT systems, working closely with engineering and data science teams to translate manufacturing challenges into AI use cases, implementing MLOps pipelines on Azure ML, and integrating with Databricks/Delta Lake. Additionally, you will be responsible for deploying and monitoring models at the edge using Azure IoT Edge, conducting model validation, retraining, and performance monitoring, as well as collaborating with plant operations to contextualize insights and integrate them into workflows. To qualify for this role, you should have a minimum of 5 years of experience in machine learning and AI. Hands-on experience with Azure ML, ML flow, Databricks, and PyTorch/TensorFlow is essential. You should also possess a proven ability to work with OT sensor data such as temperature, vibration, flow, etc. A strong background in time-series modeling, edge inferencing, and MLOps is required, along with familiarity with manufacturing KPIs and predictive modeling use cases.,
Posted 1 month ago
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