Image Processing Jobs in Pune

100 Jobs Found

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Senior Payroll Executive

Accops Systems

5-8 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Title: Senior Payroll Executive Location: Pune Experience: 5-8 years Education: BE/BTech/MCA/MTech (Preferably in CS/IT) Company: Accops Role Overview: We are looking for a detail-oriented Senior Payroll Executive to oversee the end-to-end payroll processes, ensure compliance with statutory regulations, and maintain accurate employee compensation data. The ideal candidate will have a strong background in payroll processing, analytical thinking, and an ability to manage confidential information with integrity. Key Technical Skills: Payroll Expertise: Deep understanding of payroll processes, including salary disbursements, deductions, bonuses, leaves, and attendance data. Statutory Compliance: Solid knowledge of statutory requirements like PF, ESI, PT, LWF, TDS, and other relevant laws. Payroll Software: Experience with payroll software such as GreytHR, ADP, SAP, or Keka (familiarity with one of these tools is required). Excel Proficiency: Advanced skills in Excel including formulas, pivot tables, conditional formatting, data validation, and logical structuring. Analytical Thinking: Strong analytical abilities to manage payroll data, resolve errors, and maintain accuracy in calculations. Roles and Responsibilities: End-to-End Payroll Processing: Handle payroll processing for employees on a monthly, quarterly, and annual basis, ensuring timely and accurate disbursement. Salary Management: Manage inputs related to salary, deductions, bonuses, leaves, and attendance data, ensuring compliance with company policies and statutory regulations. Statutory Compliance: Ensure compliance with statutory obligations, including PF, ESI, PT, LWF, TDS, and any other applicable laws. Salary Sheet Validation: Prepare, validate, and review salary sheets, ensuring all calculations are accurate and error-free before disbursement. Coordination with Finance: Collaborate with the Finance team for the timely transfer of salaries, variable pay, and calculation of inputs for salary adjustments. Employee Query Handling: Address payroll-related employee queries and ensure timely resolution. Data Management & Reporting: Create and manage reports, including payroll data sent to JIO from the HR payroll side, and generate dashboards for audits. Performance Management System (PMS): Take ownership of the PMS process, ensuring timely goal-setting, mid-year reviews, and final evaluations are completed. Variable Pay & Appraisals: Design and maintain templates for variable pay and appraisal calculations, and accurately perform these calculations based on performance and company policies. Employee Data Maintenance: Keep employee data related to compensation up to date, ensuring accuracy and integrity. Payroll Reconciliation: Reconcile payroll reports, bank statements, and audit requirements, ensuring accuracy and compliance. Audit Support: Generate reports for internal and external audits, ensuring compliance with financial and regulatory requirements. Soft Skills Required: Communication Skills: Strong verbal and written communication skills, with the ability to clearly articulate information to employees and management. Analytical Mindset: A logical and analytical approach to payroll data management, with a keen eye for detail. User-Centric Approach: Demonstrates a sincere and proactive approach in handling employee concerns, providing timely solutions. Self-Motivated & Proactive: Highly motivated, proactive, and capable of managing responsibilities independently. Adaptability: Flexible and adaptable to changing payroll requirements and business needs. Team Player: Able to work collaboratively within a team, fostering a positive and efficient work environment. Impactful Role: Play a key role in ensuring the seamless execution of payroll operations and employee satisfaction. Career Growth: Opportunity to develop your skills in a dynamic and growing company with exposure to various payroll and HR functions. Collaborative Culture: Be part of a collaborative team that values precision, accountability, and continuous improvement. Qualification : BE/BTech/MCA/MTech (Preferably in CS/IT)

Senior Payroll Executive Senior executive Payroll executive
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Computer Vision Engineer

Verificient

3+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!

Computer Vision Computer Vision Engineer Computer engineer
CO

Associate Data Science Engineer

Cognologix

1-2 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Associate Data Data Associate Science Data Science
CO

Data Science Engineer

Cognologix

3+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Data Science Data Science Engineer Data Engineer
TP

Engineer - Billing

Tejraj Promoters & Builders

3+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Title: Engineer Billing Location: Pune Experience: Minimum 3 Years Employment Type: Full-Time Reporting To: Sr. Engineer / Manager Billing Role Overview: The Engineer Billing is responsible for preparing, verifying, and processing contractor bills according to project progress, contractual terms, and timelines. This role ensures accurate documentation, coordination with site teams, and compliance with billing protocols, budget controls, and ERP systems. The position supports smooth financial operations, timely payments, and final account settlements, thereby contributing to effective project cost management and compliance. Key Responsibilities: Billing & Invoicing Prepare monthly, interim, and final contractor bills based on actual work completed and contract terms Ensure invoices are accurate, documented, and aligned with payment schedules and milestones Payment Certification Assist in certifying payments based on verified work progress Collaborate with project teams to validate work through Measurement Books (MBs) and completion certificates Contract & Payment Terms Management Apply contractual payment terms including retention, advances, and special clauses Incorporate scope changes, time extensions, and variations into billing Documentation & Record Keeping Maintain organized records of billing documents such as BOQs, work orders, invoices, and receipts Document all variations, change orders, and claims with appropriate approvals Generate billing and outstanding payment reports for senior management Coordination with Project Teams Liaise with project managers, site engineers, and supervisors for timely measurements and billing support Ensure timely submission of MBs and supporting documents aligned with billing cycles Cost Control & Budget Monitoring Verify billing consistency with approved budgets and report discrepancies Coordinate with finance teams for reconciliation and project financial tracking Billing Software & ERP Systems Utilize ERP platforms (e.g., SAP, High-Rise) for invoice generation, tracking, and reconciliation Update ERP with billing data, approvals, and payment statuses to ensure audit trails Communication & Dispute Resolution Address and resolve billing queries or disputes from vendors, contractors, or internal teams Follow up proactively to clear pending bills and resolve discrepancies Final Account Preparation Assist in preparing final project accounts with all approved changes Coordinate with legal, accounts, and project teams for formal account closure Key Competencies & Skills: Technical: Strong understanding of construction billing processes, BOQs, contract terms, and measurement verification Proficiency in MS Excel and ERP billing systems (SAP, High-Rise, etc.) Behavioral: Attention to Detail & Accuracy Coordination & Teamwork Time Management Effective Communication Analytical Thinking and Problem-Solving Qualifications & Experience: Diploma or Bachelor s Degree in Civil Engineering Minimum 3 years of project billing experience in the construction industry At least 1 year of hands-on experience with ERP billing modules Summary: The Engineer Billing plays a critical role in managing the financial aspects of construction projects by ensuring accurate billing, documentation, and coordination with project and finance teams. This role supports timely payments, contractor relationships, and cost control, directly contributing to the financial health and successful delivery of projects at Tejraj Group. Qualification : Diploma or Bachelors Degree in Civil Engineering

Engineer Billing Billing engineer Full-Time Billing systems
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Python Automation Test Engineer

Tata Technologies

2-4 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Python Automation Test Engineer Experience: 2 4 Years Location: Pune Role Overview: We are seeking a Python Automation Test Engineer with strong expertise in Python programming and automation testing. The ideal candidate will have hands-on experience in developing automation frameworks, interfacing with hardware protocols, and implementing REST APIs. Knowledge of vision-based automation and infotainment testing will be an added advantage. Key Responsibilities: Develop and maintain automation frameworks using core Python, emphasizing object-oriented design principles Create Python libraries to interface with various hardware protocols such as CAN, USB, Serial port, and Ethernet Implement and integrate REST APIs for data handling and communication Build vision-based automation tools, including libraries for processing text, images, and UI elements from reference images (preferred) Develop or utilize VR libraries and implement text/speech translation functionalities (advantageous) Perform automation testing of software modules with a focus on reliability and efficiency Support infotainment system testing by designing and executing relevant test automation Design and implement best practices and standards for test automation frameworks to ensure scalability and maintainability Required Skills & Qualifications: 2 4 years of experience in Python programming with a focus on automation Strong understanding of object-oriented programming (OOP) concepts Proven experience developing Python libraries for hardware interfacing and automation Familiarity with hardware communication protocols: CAN, USB, Serial, Ethernet Experience in working with REST APIs in Python Hands-on knowledge of automation testing methodologies Understanding of infotainment testing processes Good communication skills and ability to work collaboratively in a team environment Bonus: Experience with vision-based automation frameworks, VR libraries, and speech/text translation

Python Automation Python Automation Automation test Test automation
IN

Generative Ai Engineer

Indus Net Technologies

2+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Ai Generative Ai Engineer Ai engineer Generative AI Engineer
BH

Function Development Embedded Software Engineer Signal Processing And Control

Baker Hughes

Fresher | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Requirements Join our Engineering team We are the leading energy technology company. We are designing, assembling, and testing the latest products to help take energy forward. We collaborate with our development teams in science, mechanical and electrical engineering, physics, geoscience, to develop innovative drilling tools. Partner with the best As a Function Development Engineer for Embedded Software, you will be fully involved in design, testing and deployment of new algorithms for systems operating in challenging environments. Your will be responsible for: Development of functions for data acquisition and digital signal processing Design, modelling, and simulation of mechatronic systems & controls Design of systems- and software architecture Process optimization and automation Testing of functions and systems Specification of requirements Documentation and change management processes for new product development Fuel your passion To be successful in this role you will have: Above-average university degree in Electrical Engineering, Mechanical Engineering or similar Knowledge in at least one of the following fields: Digital signal processing Measurement and control systems Communication systems engineering Experience in modelling and simulation Skilled with Matlab / Simulink Programming skills e.g. C, C++, Python Independent, proactive, self-motivated, and able to work well as part of an interdisciplinary team Good written and verbal English skills due to an international work environment, and strong interest in working with other cultures At Baker Hughes we are always searching for great talent. While we may not have a specific job for you today, we want to know about you when we do. As actual openings become available, you may be contacted to discuss a potential opportunity.

Function Development Embedded Software Embedded software
VT

Computer Vision Engineer

Verificient Technologie

3+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Overview: We are seeking a Computer Vision Engineer with 3+ years of experience to join our driven startup team. The ideal candidate will be responsible for researching, developing, and maintaining scalable computer vision (CV) and machine learning (ML) technologies that analyze video feeds from users participating in online sessions and detect related anomalies. If you're passionate about CV and ML technologies, and thrive in an innovative and fast-paced environment, we'd love to have you on our team. Required Skills: Education & Experience: BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field. Specializations: Expertise in Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, and/or Computer Graphics. Programming Skills: Proficiency in developing in C/C++ and Python, with significant experience working in a Linux environment. Libraries & Tools: Hands-on experience with OpenCV, Numpy, SciPy, Sklearn, and similar libraries. Communication: Ability to clearly and concisely communicate complex technical information to both technical and non-technical teams. Version Control: Familiarity with GIT for version control. Highly Desirable: Expertise: Specialized knowledge in image classification, segmentation, and autonomous feature learning. Mathematical Foundation: Strong understanding of linear algebra, optimization, probability, and statistics. Software Architecture: Experience with software architecture and/or API design, with strong integration skills. Parallel Programming: Background in parallel programming to optimize computational processes. Vision Applications: Experience with vision applications and technologies used in the computer vision field. Position Details: This is a full-time, paid position, with a competitive salary and benefits package, commensurate with experience. If you're eager to contribute to innovative CV/ML solutions in a collaborative and fast-growing startup environment, we encourage you to apply. Qualification : BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field.

Computer Vision Computer Vision Engineer Computer engineer
UG

Order Processing Executive

Ugaoo

2-3 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

About Us: At Ugaoo, we're more than just a gardening brand we're a movement. With over 135 years of experience in agriculture and horticulture under the legacy of Namdeo Umaji Agritech, we are transforming the future of gardening. With the global gardening market projected to reach $120 billion by 2027, we re at the forefront of this change. Ugaoo blends time-tested wisdom with modern innovation, offering a fast-paced, dynamic environment for those eager to make an impact. Join us if you're passionate about growing, both personally and professionally, and be part of a company that thrives on collaboration, innovation, and results. A Culture of Growth: At Ugaoo, your ideas are valued, and you'll find a supportive environment where you can flourish. We foster values like resilience, openness, and responsibility. Room to Innovate: We encourage ownership and calculated risks. If you're someone who enjoys challenging the status quo, Ugaoo is the place for you. Performance-Driven Success: Your dedication and hard work will be recognized, with direct impact on the company s growth. Kinship and Collaboration: You're not just an employee; you're part of a team. At Ugaoo, we work, celebrate, and support each other every step of the way. Key Responsibilities: Order Processing: Manage order processing through online portals. Shipment and Invoices: Ensure shipment labels and corresponding invoices are correctly attached to shipments. MIS Reporting: Maintain daily MIS reports in Excel for orders posted on the same day. Provide inventory and shipment reports to the management team via email. Inventory Planning & Allocation: Plan and allocate inventory based on consumption, ensuring inventory needs are met periodically. Returns Management: Handle returns through online e-commerce portals, ensuring proper communication with e-commerce partners for discrepancies. Claims & Credit Notes: Record returns by raising credit notes for materials returned and received in the warehouse. Courier Coordination: Coordinate with courier partners to ensure timely pickups of shipments. Claims Management: Raise online tickets for claims if material is received damaged or if incorrect products are received. Documentation: Maintain separate data of orders, returns, and claims, and ensure all paperwork is properly filed. Team Coordination: Coordinate with the e-commerce business team to ensure smooth operations and avoid discrepancies. Requirements: Bachelor s Degree 2-3 years of experience with a good understanding of order processing through online marketplaces. Strong proficiency in MS Excel Excellent communication and coordination skills. Who We re Looking For: We are looking for driven individuals eager to take ownership of their work and step up to new challenges. If you're passionate about growing in a fast-paced environment and are ready for the next step in your career, Ugaoo is the perfect place for you. Join us, and let s grow together because we believe Plants Grow People. Impact: Your work directly impacts the growth of the company. Collaboration: A supportive environment where you re part of a team that works together to succeed. Growth: A chance to develop your skills and career in an innovative and fast-growing company. Qualification : Bachelors degree and have an experience of 2-3 years and has good understanding of order processing through marketplaces

Processing Order Processing Executive Order processing executive Full-Time
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Accounts Receivable Specialist

Redaptive

4-6 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Accounts Receivable Specialist Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure through Infrastructure Monetization. Headquartered in Denver, we operate across 12,000+ sites in over 10 countries, focusing on measurable sustainability and operational impact. Position Summary Redaptive is seeking a self-motivated Accounts Receivable Specialist to join our Accounting Team in Pune. This role focuses on full-cycle Accounts Receivable activities, month-end close processes, revenue recognition, and collections, specifically supporting U.S.-based operations. Key Responsibilities Accounts Receivable & Analysis Manage full-cycle A/R activities: invoicing, payment application, and month-end close. Analyze A/R aging reports to identify trends, discrepancies, and areas for improvement. Conduct reconciliations to ensure accuracy in transactions and contract management. Collections & Reporting Proactively manage overdue invoices and resolve billing disputes with customers. Handle internal adjustments including credit memos, RMAs, and write-offs. Perform month-end duties: journal entries, deferred revenue, amortization schedules, and accruals. Generate regular Aging reports and respond to ad hoc financial requests. Collaboration & Audit Support Collaborate with sales, customer service, and finance to resolve collection issues. Maintain order records in Salesforce and assist with sales-type lease accounting. Prepare documentation for internal and external audits to ensure compliance. Required Skills & Qualifications Education: Bachelor s degree in Accounting or Finance (Master s preferred). Experience: 4 6 years of relevant A/R experience, preferably with U.S.-based organizations. Software: Proficiency in NetSuite and Microsoft Excel; experience with Salesforce is preferred. Core Knowledge: Strong understanding of accounting principles and revenue recognition. Attributes: Detail-oriented, proactive, and comfortable with flexible working hours. Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Wellbeing: Comprehensive health insurance and Employee Assistance Program. Flexibility: Hybrid work model and generous paid time off. Development: Access to curated learning programs and certifications. Qualification : Bachelors degree in Accounting or Finance (Masters preferred)

Accounts Accounts Receivable Specialist Accounts Specialist Accounts receivable specialist
CT

Data Engineer

Calfus Technologies India

3-4 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineer Data Engineer Full-Time Data Engineering
CT

Data Engineering Lead

Calfus Technologies India

6-12 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Data Engineering Data Engineering Lead Data lead
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Hr Executive

Enzigma Software

2-4 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

HR Executive Experience: 2 4 Years Location: Pune Employment Type: Full-Time Immediate Joining Preferred About the Role We are seeking a proactive and detail-oriented HR Executive to support our HR team in managing day-to-day operations and employee life cycle management. If you are passionate about people, enjoy multitasking, and thrive in a fast-paced environment, this is the perfect opportunity to grow your HR career with us. Key Responsibilities Assist with daily HR operations and administrative duties Manage end-to-end recruitment process sourcing, interviewing, and onboarding Oversee the complete employee lifecycle from joining to exit Ensure compliance with HR policies and statutory regulations Plan and execute employee engagement activities and team-building events Manage employee welfare, safety, wellness, and grievance redressal Support employer branding initiatives on social media platforms Coordinate training and development programs Maintain accurate employee records in both electronic and physical formats Handle vendor management and administrative tasks related to HR Bachelor s or Master s degree; specialization in HR is a plus 2 to 4 years of relevant experience in HR functions Good understanding of HR policies, procedures, and statutory compliance Strong interpersonal, communication, and problem-solving skills Ability to multitask and handle multiple priorities simultaneously Result-driven and a proactive approach to responsibilities Familiarity with MS Office tools Opportunity to grow and develop your HR career in a supportive environment Work with a passionate and collaborative team Chance to contribute to a dynamic and fast-growing organization Immediate joining candidates preferred If you re ready to take ownership and be a key player in our HR function, apply now and join us on this exciting journey! Qualification : Bachelors or Masters degree; specialization in HR is a plus

Hr Executive Hr executive Executive hr Full-Time
BR

Sr. Manager / Manager Hr & Administration

Bramhacorp

12+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Position: Sr. Manager / Manager HR & Administration Location: Pune Qualification: MBA / PDGM (HR) Experience: 12+ Years Job Description: We are looking for an experienced Sr. Manager / Manager HR & Administration to lead and manage the HR and administrative functions for our corporate office, while maintaining oversight and control of site office operations. Key Responsibilities: Oversee the entire human resources function including staffing, employee retention, compensation management, and statutory compliance. Manage performance appraisal processes, employee counseling, conflict resolution, and disciplinary actions. Administer leave management, industrial relations, and enforcement of HR policies and procedures. Ensure smooth general administration operations across corporate and site offices. Develop and implement HR strategies to support organizational goals and workforce planning. Key Deliverables: Effective human resources planning aligned with business needs. Successful talent acquisition, onboarding, and retention initiatives. Compliance with all relevant statutory and regulatory requirements. Qualification : MBA / PDGM (HR)

Sr. Manager Sr. manager Hr Manager hr
SG

Process Specialist - Accounts Payable (ap)

Suzlon Group

2-7 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Title: Process Specialist Accounts Payable (AP) Location: Pune Experience: 2 to 7 Years Job Description We are seeking a detail-oriented and process-driven Process Specialist Accounts Payable (AP) to manage end-to-end AP operations, ensure compliance with financial regulations and internal policies, and drive continuous improvement across processes. As the first point of contact for AP-related queries and escalations, you will play a critical role in maintaining vendor relationships, supporting financial reporting, and enhancing operational efficiency. Key Responsibilities Serve as the primary point of contact for all issues and escalations within Accounts Payable. Ensure that AP transactions meet defined cost, quality, and timeliness standards as outlined in SLAs. Maintain compliance with statutory requirements and company policies during all AP activities. Support implementation of best practices and process standardization across AP operations. Proactively identify and drive process improvement initiatives to optimize efficiency and accuracy. Troubleshoot and resolve AP-related issues raised by Associates or other stakeholders. Execute accounting transactions related to AP (e.g., write-offs, write-backs) as needed. Generate and consolidate MIS reports in the prescribed formats for internal stakeholders. Ensure all transactions are processed in accordance with the approved process manual and schedule of authority. Prepare timely AP schedules for submission to the General Ledger and Financial Reporting teams. Support the resolution of vendor disputes and lead reconciliation efforts. Review and approve debit/credit notes in line with internal authorization policies. Maintain and update the vendor tax master and associated tax codes. Keep senior associates and leadership updated on process bottlenecks or operational issues. Qualifications Bachelor s or Master s degree in Accounting, Finance, or related field CA / CMA / MBA (preferred from Tier I or Tier II institutions) Strong knowledge of Accounts Payable processes and accounting principles Excellent problem-solving and analytical skills Proficiency in ERP systems and MS Excel Strong communication and stakeholder management abilities Qualification : Bachelors or Masters degree in Accounting, Finance, or related field

Process Specialist Process specialist Accounts Accounts Specialist
ET

Technical Member Hardware

Endurance Technologies

4+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Position: Technical Member Hardware Designation: Assistant Manager Experience Required: 4 Years Location: Pune Role Overview: We are seeking a motivated and skilled Technical Member Hardware to join our hardware design team. The ideal candidate should have hands-on experience in PCB design, circuit simulation, and testing. This role offers an excellent opportunity to work on cutting-edge embedded systems hardware alongside an expert team. Key Responsibilities: Contribute to the design and development of hardware systems as part of the hardware design team. Design PCBs and perform component selection based on design requirements. Simulate circuit schematics and analyze performance. Operate high-end testing and debugging equipment in a lab environment. Perform precision soldering, including handling of SMD components. Assist in prototyping, validation, and troubleshooting of hardware systems. Contribute to documentation and design reviews. Preferred Skills: Experience with PCB design tools and simulation software. Proficient in using lab instruments such as oscilloscopes, multimeters, logic analyzers, etc. Knowledge of soldering techniques and handling fine-pitch components. Exposure to RF design will be considered a strong advantage. Qualifications: B.E./B.Tech in Electronics or Electrical Engineering. 4+ years of experience in hardware design and development. CDAC certification in VLSI or a related field is an added advantage. Qualification : B.E./B.Tech in Electronics or Electrical Engineering

Technical Technical member Member technical Hardware Hardware technical
SM

Customer Service Officer

Sbi Mutual Fund

2-6 Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Title: Customer Service Officer Department: PDM Domestic Business Location: Pune Experience Required: 2 to 6 Years Qualification: Graduate / Master s Degree (Mandatory) Certifications: MDF Certified (Preferred), NISM (Desirable) Reports To: Branch Head / Regional Customer Service Lead Role Overview: The Customer Service Officer acts as a vital link between the AMC and investors by ensuring exceptional service delivery, complaint resolution, transaction processing, and regulatory compliance. This role involves managing walk-in clients, coordinating with registrars (R&T agents), and supporting the field sales team to strengthen client relationships and improve overall investor experience. Key Responsibilities: Customer Interaction & Support Handle walk-in investors with professionalism and a service-first approach. Promptly respond to investor queries, complaints, and requests across mutual fund products. Assist clients in processing transactions including Purchase, Redemption, Switch, SIPs, and Special Products. Transaction Processing & Coordination Coordinate with R&T agents (Registrar & Transfer Agents) to ensure timely and accurate resolution of investor requests. Ensure adherence to SEBI-prescribed cut-off timings and accurate documentation. Sight credits in bank accounts for reported transactions and validate cash flows. Reporting & Regulatory Compliance Prepare and maintain accurate Daily MIS, Monthly Reports, Time Stamping Register, and Daily Transaction Report (DTR). Submit High-Value Transaction Reports and other regulatory reports in a timely manner. Stay updated with the latest SEBI guidelines and internal compliance procedures. Product Knowledge & Communication Stay informed about SBIMF product offerings, market movements, and mutual fund regulations. Educate investors on product features, regulatory norms, and documentation requirements. Draft and review investor communication content in a clear, accurate, and professional manner. Sales Support & Branch Operations Support the field sales team in ensuring clients receive smooth service post-sales. Contribute to branch-level investor engagement programs and awareness initiatives. Maintain an environment of operational excellence and risk control at the customer touchpoint. Key Skills & Competencies: Technical Skills: In-depth understanding of mutual fund operations and SEBI regulatory norms Familiarity with R&T coordination and transaction processing workflows Proficiency in MIS preparation, record keeping, and compliance reporting Behavioral Competencies: Excellent verbal and written communication skills Customer-centric mindset with a proactive problem-solving approach Strong attention to detail and commitment to process integrity Ability to multi-task and prioritize under time-sensitive environments Team-oriented with a collaborative working style Mandatory Requirements: Graduate or Postgraduate in any discipline 2 6 years of customer service experience in mutual fund or BFSI sector Knowledge of SEBI regulations and mutual fund products Excellent communication and investor handling skills Desirable Profile: NISM Certification (especially Series V-A: Mutual Fund Distributors) Experience in a mutual fund branch / R&T / back-office operations Familiarity with handling large volume transactions and investor footfalls Strong drafting ability for investor communication and regulatory correspondence Job Summary: The Customer Service Officer plays a pivotal role in delivering high-quality service at the branch level, ensuring smooth transaction processing, investor satisfaction, and compliance with regulatory norms. This role contributes directly to investor retention, brand credibility, and seamless operational flow for SBIMF's Pune branch. Qualification : Graduate / Masters Degree (Mandatory)

Customer Service Customer Service Officer Service officer
AS

Senior Etl Engineer

Accelirate Softech

5+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Senior ETL Engineer Senior engineer ETL Engineer
DR

Staff Data / Machine Learning Engineer

Druva

7+ Years | Not Disclosed | Pune, Maharashtra, India | Full-time

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Data Engineer Staff Engineer Data Engineer Staff data engineer

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