Batch Processing Jobs in Mumbai

Analyst Settlements Location: Mumbai Employment Type: Full-time Role Summary The Analyst Settlements is responsible for managing Accounts Receivable (AR) and Accounts Payable (AP) processes. This role ensures prompt cash collection, accurate vendor payments, and compliance with internal policies to optimize cash flow and minimize financial risk through coordination with internal teams and external counterparties. Key Responsibilities Accounts Receivable (AR) Verify documents against system entries and resolve discrepancies. Identify and issue provisional, final, differential, or recharge invoices. Capture and post sales invoices and credit notes to external counterparties. Liaise with internal teams to resolve claims or disputes related to AR. Accounts Payable (AP) Review incoming invoices for contractual, tax, and regulatory compliance. Match invoices with Purchase Orders (PO) and post to relevant cost centers. Resolve discrepancies between invoices and internal estimates. Manage vendor queries regarding payments and invoicing. Debtor & Creditor Management Oversee timely collection of receivables and adhere to contractual payment terms. Generate reminders and monthly statements for counterparties. Monitor aged reports and balances to minimize outstanding amounts. Allocate cash against remittances and perform account reconciliations. Key Result Areas (KPIs) Volume of AP and AR invoices processed. Timeliness of invoice posting and vendor payment cycles. Vendor payment error rates. Days Sales Outstanding (DSO) optimization. Knowledge, Skills & Abilities Education: Bachelor s degree in Business Administration, Supply Chain, or International Trade. Experience: 2 3 years in an AP/AR or settlement role; physical commodities trading knowledge is a plus. Technical: Strong proficiency in MS Office and accounting principles. Competencies: High detail orientation, customer focus, and proactive ownership of deadlines. Key Relationships Internal: Operations, Deal Desk, Trade Finance, Treasury, Trading. External: Counterparties, Vendors, and Clients. Qualification : Bachelors degree in Business Administration, Supply Chain, or International Trade

Position Title: Assistant Manager HPI (Hydrocarbon Processing Industry / Petrochemicals) Location: Mumbai Reports To: Senior Business Manager HPI Experience Required: 5 to 7 years of experience in sales of analytical instruments, specifically Gas Chromatography (GC). Familiarity with customized/system GCs for the petrochemical market is a strong advantage. Educational Qualifications: Minimum: B.Sc. in Chemistry OR Diploma in Electronics, Chemical, or Instrumentation Engineering Preferred: M.Sc. in Chemistry OR Graduate in Electronics, Chemical, or Instrumentation Engineering Role Overview: The Assistant Manager HPI will support the business development and project execution efforts within the Hydrocarbon Processing and Petrochemical industry segment. This role involves technical coordination, project support, and collaboration with internal teams, customers, and international principals to deliver customized GC solutions. Key Responsibilities: Collaborate with the Manager HPI (Petrochemical Market) and technical experts from the principal company to prepare system GC configurations Act as a technical liaison between sales teams, customers, and principal company experts to accurately capture and communicate requirements Coordinate with local vendors and the procurement team to source components and accessories required for complete HPI project deliveries Build and maintain strong professional relationships with key clients, partners, and internal stakeholders Support marketing and sales promotional activities related to the HPI product line Assist sales teams across India by providing technical inputs and support on active opportunities, under guidance from senior management Key Competencies & Skills: Excellent verbal and written communication skills Strong team player with a collaborative mindset Technical aptitude to understand and explain product configurations and analytical applications Ability to deliver impactful presentations and influence customer decisions Willingness to travel extensively across India Qualification : M.Sc. in Chemistry OR Graduate in Electronics, Chemical, or Instrumentation Engineering

Position: Additive Inside Sales Executive Location: Mumbai Employment Type: Full Time Experience Required: 3 5 Years Industry: Additive Manufacturing / Industrial Equipment / Sales Support Job Overview We are looking for a detail-oriented and proactive Inside Sales Executive Additive Division to manage consumables and spare parts sales. The ideal candidate will efficiently handle customer RFQs, process orders, coordinate with suppliers, and drive repeat business by closely tracking consumption patterns. If you have a passion for sales operations, customer service, and managing backend processes with precision, we d love to hear from you. Key Responsibilities Respond to incoming RFQs from customers and service engineers, providing accurate and timely quotations. Track consumable usage and proactively follow up with customers to generate repeat business. Process customer orders efficiently while ensuring adherence to delivery schedules and specifications. Collaborate with suppliers or product managers to gather pricing and availability, negotiate terms, and place purchase orders as required. Coordinate import activities: Prepare and manage documentation Ensure compliance with import laws and tariffs Oversee customs clearance Work with logistics teams and customs brokers to ensure timely clearance of imported goods. Monitor inventory levels and anticipate demand to avoid shortages or overstock situations. Maintain comprehensive records of RFQs, quotes, orders, and supplier communications. Review and verify supplier invoices and match them with received goods for quality and quantity. Keep customers updated on the status of their orders, delivery timelines, and resolve any issues proactively. Identify and implement process improvements to increase operational efficiency and customer satisfaction. Required Skills & Qualifications 3 5 years of experience in inside sales, order processing, supply chain coordination, or customer support preferably in industrial or additive manufacturing sectors. Strong understanding of sales coordination, consumables tracking, and procurement processes. Experience with import procedures, documentation, and dealing with customs clearance. Excellent communication and negotiation skills. Proficiency in MS Office (Excel, Outlook) and familiarity with ERP/CRM systems. Strong attention to detail, with the ability to multitask and meet tight deadlines. Customer-first mindset with the ability to build and maintain professional relationships. Opportunities for career growth in industrial and additive manufacturing domains Supportive and collaborative team environment Exposure to global vendors, processes, and supply chain operations Apply now and be part of a fast-growing and innovative team in the additive manufacturing space.

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Infrastructure Support Analyst - AWS Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes worldwide. We are a technology- and data-driven firm applying a scientific approach to investing. Our culture of collaboration and innovation empowers us to solve complex challenges and deliver superior results for our investors. Role Overview As an Infrastructure Support Analyst (AWS), you will play a critical role in maintaining, supporting, and optimizing QRT s cloud infrastructure. You will work closely with trading, research, and business teams to ensure reliable and scalable cloud services that underpin our technology platform. Key Responsibilities Cloud Infrastructure Management: Design, build, and support cloud-based services primarily on AWS to enable robust trading, research, and business operations. Cross-Team Collaboration: Partner with traders, researchers, and business stakeholders to drive cloud adoption and resolve infrastructure-related challenges. Cloud-First Problem Solving: Implement scalable, secure, and efficient solutions with a cloud-first mindset. Support Critical Infrastructure: Maintain essential systems supporting research technology, trading platforms, market execution, and data processing pipelines. Required Skills & Experience Minimum 2 years of hands-on experience with AWS, including core services such as EC2, S3, VPC, IAM, and Lambda. Strong scripting ability in Python and Bash to automate cloud operations and infrastructure tasks. Familiarity with containerization and orchestration tools like Docker, ECS, and Kubernetes. Experience with configuration management and infrastructure as code tools such as Ansible and Terraform. Working knowledge of Linux and Windows operating systems. Passion for infrastructure engineering and platform support in fast-paced environments. Excellent problem-solving aptitude combined with strong business analytics skills. Preferred Qualifications Certifications such as AWS Certified Solutions Architect, AWS SysOps Administrator, or Linux certifications are a plus. Prior experience supporting infrastructure in trading or financial services environments is advantageous. Opportunity to work with cutting-edge cloud technologies in a high-impact quantitative finance setting. Collaborative and inclusive work culture emphasizing innovation and teamwork. Professional growth and continuous learning opportunities. Competitive salary and comprehensive benefits. Initiatives promoting work-life balance and employee well-being.

Position: DP Operations Experience Required: 5+ years Educational Qualification: Graduate/Post Graduate Key Responsibilities: DIVS & Batches Management: Handle DIVS as a Checker (Authorizer) and manage the upload of DIVS batches in NSDL/CDSL. Monitor GAP reports and oversee the issuance and batch uploads in E-DPM. Transaction Authorization: Authorize daily requests for Dematerialization, Rematerialization, Conversion, and Reconversion redemption as the checker. Issue Resolution: Address system errors related to back-office batches and resolve transaction issues by coordinating with vendors and CDSL. MIS Reporting: Prepare daily transaction MIS and ensure proper transaction reconciliation. MIS Publication: Maintain and publish daily MIS reports covering account openings, transactions, demat/remat, pledging, unpledging, and fund payouts for management review. Audit Coordination: Collaborate with internal auditors to address discrepancies or issues related to transactions. FTR & TAT Reporting: Prepare and present monthly FTR and TAT reports for top management and business teams. Regulatory Compliance: Stay updated with and implement regulatory circulars in daily operations. Billing and Reconciliation: Generate monthly billing in the iBeats system and reconcile with CDSL billing. Perform stamp duty charges reconciliation with DP billing and the CDSL stamp duty file. Transaction Statements: Prepare monthly bill cum transaction statement schedules in Bizmail iBeats System and maintain proper logs for audit and inspection purposes. Compliance Reporting: Submit required compliance reports (IAR, RAT, BO grievance, etc.) to the compliance team. Client & Branch Support: Attend to and resolve client and branch requests raised via email. Location: Kalina, Mumbai (Work-from-Office) Qualification : Graduate/Post Graduate

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

about the role Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

Role Summary We are currently seeking a talented Data processor specializing in SPSS to join our dynamic team. The ideal candidate will be instrumental in advanced modeling, twinning, imputation, and analytics. Key Responsibilities Proven experience as a Data Processor, preferably in Market Research domain. Strong experience in writing syntax using SPSS Practical experience working on trackers/dips/adhocs in SPSS/Q Software Should have specialized skills in handling complex/huge data sets Experience in creating automatic tables in Q Software Experience in creating sub routines/macros Should have good knowledge of R/JavaScript Able to create process/efficiency Proficiency in scripting, stacking, weighting Experience with SPSS for data processing Should have passion towards subject and self-driven Adaptable to changing and evolving circumstances Qualifications Education: Bachelor s or advanced degree/BSC/MSc, BCA, MCA, BE/BTech and MTech Competencies and Desired Skills Problem solving abilities Good Communication Skills Ability to teach or Mentor juniors Willing to work in 7:00 PM-4:00 AM Qualification : Bachelors or advanced degree/BSC/MSc, BCA, MCA, BE/BTech and MTech

Job Title: Accounts Payable Senior Executive Location: Mumbai Experience: 2 5 Years Education: B.Com / M.Com / Semi-qualified CA / CA IPCC Cleared Position Overview: We are looking for a detail-oriented and proactive Accounts Payable Senior Executive to join our Finance team in Mumbai. This role involves the end-to-end management of vendor payments, invoice processing, TDS/GST compliance, and period-end financial activities. The ideal candidate will have strong accounting knowledge, hands-on experience with ERP systems, and the ability to maintain efficient vendor relationships while supporting audits and financial reporting. Key Responsibilities: Invoice Processing & Booking Review vendor invoices against contracts/agreements and ensure proper approvals Accurately book invoices with correct GL codes and cost center tagging Deduct TDS as per applicable tax provisions and ensure proper documentation Vendor Payments Schedule and process vendor payments in a timely and accurate manner Conduct due diligence before processing payments (agreements, tax, compliance checks) Maintain payment records and coordinate for necessary internal approvals Vendor Reconciliation & Management Perform regular vendor reconciliations and resolve any mismatches or discrepancies Manage vendor master data, including validation of KYC documents and bank details Liaise with vendors to ensure timely submission of invoices and balance confirmations Expense Monitoring & Analysis Monitor and analyze expenses on a monthly/quarterly basis Identify trends, variances, or unusual cost spikes and flag for further investigation Track outstanding payables to ensure timely closures Month-End & Year-End Activities Book expense provisions and accruals during closing periods Handle amortization of prepaid expenses and related accounting entries Assist in preparing audit-ready reports and reconciliations Reporting & MIS Generate and circulate expense MIS, vendor ageing, and payables reports Coordinate with internal teams for budgeting and clarification on expense entries Compliance & Audit Support Ensure strict compliance with TDS and GST regulations Assist in TDS return filing and timely issuance of Form 16A to vendors Support internal and statutory audits with required documentation and schedules Qualifications & Skills: CA IPCC (one or both groups) cleared preferred B.Com / M.Com / Semi-qualified CA with relevant experience 2 5 years of hands-on experience in Accounts Payable or general accounting Strong understanding of accounting principles, TDS, and GST compliance Proficiency in MS Excel and ERP systems (Tally, SAP, Oracle, etc.) Strong analytical, communication, and vendor management skills Ability to meet tight deadlines with a proactive and solution-oriented mindset Qualification : B.Com / M.Com / Semi-qualified CA / CA IPCC Cleared

Position: Executive Accounts Payable Department: Finance & Accounts Division: Corporate Location: Mumbai Experience: 2 3 years Qualification: B.Com / M.Com Job Purpose To manage daily accounts payable operations, ensure accurate invoice processing, tax compliance, and assist in maintaining financial records and reconciliations. The role supports smooth financial operations and adherence to internal controls and statutory regulations. Key Responsibilities Process all vendor invoices and payments on a daily basis, ensuring accuracy and completeness. Ensure compliance with statutory requirements such as Service Tax, TDS, and other applicable tax norms. Review purchase and accounts payable transactions for accuracy and appropriateness. Manage day-to-day petty cash transactions, including reconciliation and documentation. Support direct tax return filings and assist with other statutory submissions. Assist senior team members in preparing balance sheets and financial statements. Enter and verify financial data, including input of correct codes into the accounting system. Maintain up-to-date and accurate records of all payments, invoices, requisitions, and related correspondence. Prepare and reconcile bank statements on a regular basis. Maintain and process payroll records for staff and seafarers, including salary master updates. Verify and process site allowances based on Daily Progress Reports (DPRs). Handle data entry, record keeping, and systematic filing of all accounting vouchers. Maintain records and handle transactions related to COMACOE Dubai and Mauritius accounts. Ensure adherence to ISO systems and compliance procedures across all activities. Preferred Candidate Profile Bachelor's or Master s degree in Commerce (B.Com / M.Com). 2 3 years of relevant experience in Accounts Payable or general accounting. Proficient in MS Excel, accounting software (e.g., Tally, ERP systems), and reconciliations. Strong attention to detail with a high level of accuracy in data entry and financial documentation. Knowledge of Indian taxation (TDS, Service Tax) and basic payroll processes. Good communication and organizational skills. Ability to manage multiple priorities and meet deadlines under pressure. Familiarity with ISO procedures and compliance frameworks is an advantage.

Client Accounting Years of Experience: 2-4 years experience Educational qualification: Commerce Graduate Roles and Responsibilities (Indicative): Accounting of Client Pay-in & Pay-out of Funds & Posting respective Entry in client ledger. Prepare Daily Exchange Obligation and manage Fund Flow. Manage Exchange margin on real time basis. Manage Client Receipt from online as well offline mode, simultaneously manage Risk Limits. Daily bank reconciliation of all bank accounts (Clients & Settlement Accounts) and solving the query about banking entries. Preparation of Weekly & Monthly SEBI & Exchange Enhance report. Preparation of Monthly Exchange levies report and Reconciliation with Back office. Processing of Dividend to client & Dividend Reconciliation. Solving all clients Query relation to (Funds pay in & Payout, Demat charges, Account opening, Stocks, Penalty Charges, NRI Clients Query & day to days operation activities) Solving Audit Query (Internal Audit, Statutory Audit, & Exchange Audit) Preparing data for Third Party Products and reconciliation with Business Team. Job location: Kalina, Mumbai (Work from Office)

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Description The Wind Resource Assessment Engineer will support a broad range of studies and other consulting services to support power producers to make decisions backed by business and engineering analysis, such as site condition assessments, independent engineering assessments, benchmarking assessments, feasibility studies, unit parameter studies, equipment reliability assessments, and other power generation studies. The engineer should have deep knowledge of Windographer, OpenWind, WindPRO and working knowledge of GIS software. This Engineer will be a lead contributor to the execution of technical studies and work with project managers to lead the technical execution for projects. The engineer will assist the project managers and lead aspects of project execution including Engineering Analysis, Project scheduling, deliverables, and quality management. The engineer will support and lead both on-the-job and classroom training efforts for less experienced team members. Key responsibilities will include: The engineer will be responsible for performing energy production estimates for wind farms using industry standard techniques. This will include processing and cleaning on-site wind data, generating wind flow models, performing site specific energy losses and uncertainty analysis. Understand project constraints to optimize proposed wind farm production or cost of energy production. Support project managers in execution of projects. Lead aspects of project execution including data collection, engineering, financial, and technical analysis; maintain project schedule; develop key project deliverables including analysis, reports, and presentations; support the project manager in quality control of deliverables; analyze and communicate project status, risks, schedule, and costs to project managers; plan, organize, and communicate project personnel needs to project and department management. Other duties as assigned. Qualifications Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Master s degree in the relevant field will be an added advantage. 4 to 5 years of experience associated with Wind data analysis, operations, planning, or consulting. Project experience with Wind generation such as project development and site selection, asset due diligence and acquisition support, independent engineer services, condition assessments, and cost and performance benchmarking, asset management, operations, maintenance, and engineering management. It is expected to be able to develop efficient wind turbine arrays considering site constraints and energy production. Knowledge in standard engineering, construction, and operation techniques, principles, and procedures associated with power generation facilities, specifically wind generation. Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills. Ability to work methodically and analytically in a quantitative problem-solving environment. Demonstrated leadership skills. Ability to independently solve difficult problems that require adaptation and modification of standard techniques, procedures, and criteria. Excellent written and oral communications skills. Demonstrated critical thinking skills. Ability to perform under pressure and tight deadlines and to be effective in on-site work environments. Ability to manage multiple projects concurrently, including identification of critical path items to ensure deliverable deadlines are met. Ability to focus on the big picture to effectively and efficiently provide services that meet client needs, while also having the ability to identify and analyze details that are critical to project outcomes. Willingness to learn new service offerings as client needs and the market requires changes to the service offerings provided by our group. Proficient in Microsoft Office Suite (Word, Excel, PPT). Qualification : Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Masters degree in the relevant field will be an added advantage.

About Us: At Ugaoo, we re not just a gardening brand; we re a movement. With over 135 years of experience from Namdeo Umaji Agritech, we are pioneering a new path for the future of gardening. As the global gardening market is set to grow to $120 billion by 2027, Ugaoo is leading the charge in this transformation. This is an exciting time to join a young, dynamic company where time-tested wisdom meets modern innovation. At Ugaoo, you ll have the chance to make an impact, push boundaries, and grow both personally and professionally. A Culture of Growth: At Ugaoo, our core values Growth, Resilience, Openness, Responsibility, Empathy, and Welcoming guide everything we do. You ll be part of a supportive environment where your ideas are heard, and your career can flourish. Room to Innovate: We encourage creativity and risk-taking. If you re someone who loves challenging the norm and taking ownership, Ugaoo is your stage to shine. Performance-Driven Success: We reward ambition. Your hard work and dedication will be recognized, and your contributions will directly impact both your growth and the company s success. Kinship and Collaboration: At Ugaoo, you re part of a team. We collaborate, celebrate wins together, and support one another every step of the way. Key Responsibilities: Order Processing: Manage order processing through online portals. Shipment and Invoices: Ensure that shipment labels and corresponding invoices are attached correctly to shipments. MIS Reporting: Maintain daily MIS reports in Excel for orders posted on the same day. Share these reports with the management team. Inventory Planning: Allocate inventory according to consumption trends and replenish stock as needed. Returns Management: Handle returns on e-commerce platforms, ensuring accurate communication with partners regarding discrepancies. Credit Notes and Returns: Raise credit notes for returned items and update warehouse records. Courier Coordination: Ensure timely pick-up of shipments by coordinating with courier partners. Claims Management: Raise online tickets for damaged or incorrect products received. Documentation and Data Maintenance: Keep separate records for orders, returns, and claims. Ensure all necessary paperwork is filed correctly. Team Coordination: Work closely with the e-commerce team to ensure smooth operations and minimize discrepancies. Requirements: Bachelor s Degree 2-3 years of experience in order processing through online marketplaces. Strong proficiency in MS Excel Excellent communication skills Strong organizational skills and attention to detail. Who We re Looking For: We re looking for driven, proactive individuals ready to take the next step in their career. If you re eager to learn, excited to take ownership, and want to be part of a team that values growth and collaboration, Ugaoo is the place for you. Join us and let s grow together because we believe Plants Grow People. Impact: Your work will directly influence the growth of the company. Collaboration: Join a supportive and collaborative team that works together towards shared success. Growth: Explore opportunities to develop both your skills and career in a fast-growing company. Qualification : Bachelors degree and have an experience of 2-3 years and has good understanding of order processing through marketplaces

Sr. Executive / Assistant Manager Operations Banking Team Experience: 3 5 Years Location: Mumbai Job Description: We are seeking a dynamic and detail-oriented professional to join our Operations Banking Team. The ideal candidate will be responsible for handling a wide range of banking and operational functions related to mutual fund schemes and various asset classes. Key Responsibilities: Manage daily banking operations, including cash flow and treasury management. Perform unit reconciliation for mutual fund schemes: Subscription reconciliation. Redemption reconciliation. Switch reconciliation. Oversee and process trades across multiple asset classes: Equity, Debt, Mutual Funds, ETFs. Support various operational functions: MIS reporting. Proxy voting. Tax payments. Other ad hoc tasks as assigned within the operations team. Required Skills & Attributes: Strong proficiency in Excel / Advanced Excel mandatory. Team-oriented mindset with effective communication skills. High level of accountability and ownership in work. Eagerness to learn and take initiative in a fast-paced environment. Qualifications: B.Com / MBA in Finance, Accounting, or a related field. Preferred Industry Background: Mutual Fund. Insurance. Broking. Qualification : B.Com / MBA in Finance, Accounting, or a related field

Assistant Manager Optronics & Computing Platforms (Hardware Design) Location: Mumbai Experience: 6 10 Years Education: B.E. in Electronics Engineering Job Summary: We are seeking a motivated and technically proficient Assistant Manager Hardware Design to join our Optronics & Computing Platforms division in Mumbai. The role focuses on hardware design, development, testing, and qualification of electronics systems for defense applications. This includes analog and digital circuit design, as well as microprocessor/microcontroller-based hardware development. Job Purpose: To contribute to the end-to-end design and development of electronic hardware systems for high-performance defense and optronics projects, ensuring compliance with stringent technical and environmental standards. Key Responsibilities: Design & Development: Design analog and digital circuits including microcontroller/microprocessor-based systems Develop schematics using OrCAD, Altium, or similar EDA tools Select, codify, and document components in accordance with project and lifecycle requirements Testing & Validation: Conduct functional testing and validation of physical prototypes Support environmental and EMI/EMC testing to ensure compliance with defense standards Product Documentation & Integration: Create comprehensive product lifecycle documentation Design and prepare module-level and system-level cable harnesses Collaborate with cross-functional teams during integration, testing, and qualification phases Required Skills & Competencies: Technical Know-How: Expertise in PCB schematic capture and hardware design Familiarity with layout review tools and design practices Solid understanding of communication protocols: UART, USB, Ethernet, I C, SPI Basic knowledge of computer hardware and peripherals Soft Skills: Strong problem-solving and analytical skills Detail-oriented with a structured approach to design and documentation Ability to work independently and collaboratively in cross-functional engineering teams Qualification : B.E. in Electronics Engineering