30535 Scalability Jobs - Page 10

Job Description As our Senior Data Engineer, you will be a key driver of our data engineering strategy, focusing on the design, implementation, and maintenance of our data infrastructure on Google Cloud Platform (GCP). You will leverage your expertise in GCP services (BigQuery, DataFlow, Pub/Sub, etc.) and related technologies to build and enhance our data pipelines and platforms, ensuring they are scalable, reliable, and adaptable to our evolving needs. Responsibilities Your responsibilities will include : Platform Migration and Modernization: Lead setting up of data in GCP, ensuring data integrity and designing for scalability and performance. Pipeline Development and Enhancement: Design, develop, and maintain robust and scalable data pipelines using GCP services (BigQuery, DataFlow, Pub/Sub, etc.). This includes creating reusable components, implementing best practices, and ensuring the pipelines' maintainability and extensibility. Experience with automated data lineage is essential. Data Governance and Security: Implement and maintain data governance and security best practices within the GCP environment, ensuring compliance with relevant regulations. CI/CD Integration: Integrate data pipelines into our continuous integration and continuous delivery (CI/CD) pipeline. Performance Optimization: Continuously monitor and optimize the performance of data pipelines and platforms to ensure fast and reliable data processing. Troubleshooting and Debugging: Identify, troubleshoot, and resolve issues related to data pipelines and platforms, providing timely solutions to ensure continuous data flow. Reporting and Analysis: Generate reports on data pipeline performance and data quality, analyzing results to identify trends and areas for improvement. Mentorship and Collaboration:** Mentor junior team members, sharing your expertise and guiding them in best practices for data engineering. Collaborate closely with developers, data scientists, business analysts, and other stakeholders to ensure alignment on data strategy and execution. Qualifications Must Have Skills Deep Technical Proficiency: Extensive hands-on experience with GCP services (BigQuery, DataFlow, Pub/Sub, etc.), SQL, and at least one programming language (Python, Java, or similar). Experience with Terraform, Airflow, and other related tools is highly desirable. Architectural Design and Scalability: You have a proven ability to design and implement scalable and maintainable data solutions. You understand the challenges of handling large datasets and can design solutions that can meet future growth demands while adhering to strict performance and availability requirements. Data Modelling and ETL: You possess strong data modelling skills and experience with ETL processes, including designing and implementing efficient and robust data transformations. Collaboration and Communication: You can effectively communicate technical concepts to both technical and non-technical audiences, including senior management. You understand the importance of clear and concise documentation. Qualifications: Mandatory 5+ years of experience in data engineering, with a focus on data warehousing and ETL development. 5+ years of SQL development experience. 3+ years of GCP experience with solutions designed and implemented at production scale. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). Proven experience in designing and implementing enterprise-level data solutions in a regulated environment. Strong understanding of data security, governance, and compliance best practices. Excellent analytical and problem-solving skills. Excellent communication and collaboration skills. Understanding of relevant data privacy and security regulations (e.g., GDPR, CCPA). Desired Experience in Testing – manual or automated Experience in FinTech domain

We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. We are seeking a talented and motivated Software Engineer with 5-7 years of experience to join our dynamic Qualitative Survey Engineering team. As part of our team, you will play a key role in developing and maintaining scalable, high-performance applications that drive our platform's success. You will work on a tech stack, including Classic ASP, .Net, SQL, Cloud Container Services, and GitHub, with the opportunity to leverage cloud services like AWS or Azure. Key Responsibilities: Design, develop, and maintain robust backend and frontend systems using Classic ASP, .Net Core services, Javascript, and Microsoft SQL. Collaborate with cross-functional teams to implement new features and improve existing ones. Build and manage containerized applications using Docker and cloud container services for streamlined deployment. Develop and optimize SQL queries and database structures to support application functionality. Build and maintain effective data models to ensure data integrity and scalability. Maintain code, testing, and debugging to ensure high-quality application delivery. Maintain integrations with different third-party services for effective operations. Provide operational support and troubleshooting for issues experienced by end-users. Utilize version control systems like GitHub for effective code collaboration and management. Optimize application performance, scalability, and reliability. Work closely with cloud infrastructure (AWS or Azure) to deploy and monitor applications, where applicable. Stay current with industry trends and best practices to continuously enhance the development process. What You'll Bring to Numerator Requirements: Bachelor’s degree in Computer Science or equivalent professional experience. 5-7 years of hands-on experience in software engineering. Proficiency in Classic ASP and .Net, with a strong understanding of web frameworks. Experience with Docker and containerization for development and deployment. Experience with managing Windows servers. Experience and knowledge of jQuery preferred. Solid understanding of GitHub or similar version control tools. Knowledge of cloud platforms like AWS or Azure is preferred. Knowledge of Terraform is preferred. Strong problem-solving skills and the ability to work both independently and as part of a team. Excellent communication skills with a proactive attitude.

About the Role: We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Location: Chennai & Hyderabad Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate Optimize models for performance, scalability, and robustness Document methodologies, experiments, and findings clearly for both technical and non-technical audiences Mentor junior ML engineers or data scientists as needed Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field Minimum 3 years of relevant experience Minimum of 3 hands-on ML/AI projects, preferably in production or with real-world datasets Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure) Strong data manipulation and analysis skills using Pandas, NumPy, and SQL Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks Experience working in Fintech environments would be a plus Strong problem-solving mindset with excellent communication skills Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering Why Join Us: Work on impactful, real-world AI challenges Collaborate with a passionate and innovative team Opportunities for career advancement and learning Flexible work environment (remote/hybrid options) Competitive compensation and benefits To Apply: Please send your resume, portfolio (if applicable), and a brief summary of your ML/AI projects to ranjana.g@zenardy.com

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $8 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners. At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do. Job Description Who You’ll Work With You will be engaged in working on cutting-edge VeloCloud SD-WAN product in the Campus network portfolio of Arista. You will join the Gateway team, a core group responsible for a foundational component of the Velocloud SD-WAN stack. This team owns the Velocloud Gateway, a globally distributed, multi-tenant service deployed as SaaS. Your work will directly involve all aspects of a modern cloud service, including enhancing observability, optimizing cloud-scaling and load-balancing, engineering seamless rolling upgrades, and ensuring rock-solid availability. Your mission will be to innovate on new capabilities while maintaining the robustness of this critical infrastructure. If you're really into Networking, Cloud, Systems, Security, and cloud-native tech, Arista is an awesome spot for you! We've got cool opportunities in so many areas, like tooling for packaging, builds, artifact management, product development for security certifications, cloud-native architectures, observability & network metric analytics, and L2/L3 networking. You'll get tons of chances to learn and totally feel like part of the team. What You’ll Do Own the Gateway: Take complete end-to-end ownership of the Gateway component within the SD-WAN stack, from architecture to operations. Drive Quality & Security: Own the quality of the Gateways by building automated tests. Proactively manage security by automating scans, applying OS/kernel patches, mitigating vulnerabilities in the code, and staying connected with the Ubuntu/Canonical community. Build & Deploy: Develop and maintain cloud-first, scalable software and the automation tooling required for its global deployment and management. Hands-on Engineering: Make daily, hands-on contributions to the SASE/SD-WAN build and release pipeline (Jenkins, make, apt) and advance our high-performance dataplane using multi-threaded C programming. Collaborate to Solve: Work closely with other staff software engineers to troubleshoot and solve complex, system-level challenges. Qualifications Strong computer science fundamentals, including building cloud-first, scalable, and modular software designs. In-depth knowledge of networking and data-plane architectures. Proficiency in C/C++ programming, with an emphasis on multi-threaded programming. Experience in writing unit and functional tests, and a strong sense of software quality ownership. Familiarity with build and packaging tools (e.g., make, dpkg, rpm) and CI/CD systems. Ability to work independently in a fast-paced environment. Deep technical skills and broad knowledge across multiple platforms and architectures, with a strong understanding of algorithms and data structures. Scripting experience (Python, shell scripting, etc.) is desirable. Knowledge of Kubernetes and OS kernels is a significant advantage. Additional Information Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand sound software engineering principles and the importance of doing things right. We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools. Our engineers have access to every part of the company, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature. Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As a consultant you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. You will work developing solutions that excel at user experience, style, performance, reliability and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Build, automate and release solutions based on clients priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions. Make sure that all integration solutions meet the client specifications and are delivered on time Preferred Education Master's Degree Required Technical And Professional Expertise Minimum 3+ years of experience in Oracle Business Analytics Hands on Oracle Applications R12 (INV, BOM, Configurator, Working knowledge in PL/SQL, Oracle Forms and in supporting Oracle Applications production system, working on support tickets and providing solution(s) for the same Expertise in Oracle implementation projects with full Systems Development Life Cycle Implementation and roll-Out Project experience Preferred Technical And Professional Experience Understanding of integrations/data flow between various Oracle modules. You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work

We're looking for an entrepreneurial, passionate, and driven Data Driven to join Startup Gala Intelligence backed by Navneet Tech Venture. . As we're building our technology platform from scratch, you'll have the unique opportunity to shape our technology vision, architecture, and engineering culture right from the ground up. You’ll directly contribute to foundational development and establish best practices, while eventually building and contributing to our engineering team. This role is ideal for someone eager to own the entire tech stack, who thrives on early-stage challenges, and loves building innovative, scalable solutions from day zero. What you'll do: Data Pipeline Development - Build scalable, resilient pipelines for collecting, transforming, and loading large datasets from web, APIs, and internal systems. Multi-Source Data Integration - Ingest data from diverse structured, semi-structured, and unstructured sources (web scraping, open datasets, APIs, third-party feeds). Data Storage & Modeling - Design and maintain efficient schemas across NoSQL (e.g., MongoDB, DynamoDB) and graph databases (e.g., Neo4j) to handle identity relationships at scale. Data Quality & Trust Scoring - Develop processes to deduplicate, validate, and assign confidence scores to identity data. Data Enrichment - Build enrichment workflows to merge identity records from multiple sources into a unified view. Orchestration & Automation - Implement workflow orchestration using tools like Airflow, Dagster, or Prefect for scheduling, monitoring, and scaling data pipelines. Performance Optimization - Optimize ETL/ELT processes for speed, scalability, and cost efficiency. Collaboration - Work closely with backend engineers, AI/ML teams, and product managers to deliver data solutions aligned with product goals. Who you are: Technical Requirements: 3+ years in data engineering or backend engineering with a strong focus on data pipelines. Hands-on experience with ETL/ELT frameworks and orchestration tools (Airflow, Prefect, Dagster). Proficiency in Python or another data-friendly language. Experience with NoSQL databases (MongoDB, DynamoDB) and graph databases (Neo4j). Strong understanding of web scraping frameworks and data ingestion APIs. Familiarity with cloud data infrastructure (AWS, GCP, or Azure). Experience in handling large datasets, data normalization, and data quality processes. Bonus Points: Problem Solver - You thrive in ambiguous situations and can design solutions from scratch. Attention to Detail - Data integrity is non-negotiable for you. Collaborative - You work well with cross-functional teams and communicate clearly. Startup Mindset - You’re comfortable moving fast, iterating often, and wearing multiple hats. Who We Are & Our Culture: Gala Intelligence , backed by Navneet Tech Ventures , is a tech-driven startup dedicated to solving one of the most pressing business challenges - fraud detection and prevention. We're building cutting-edge, real-time products designed to empower consumers and businesses to stay ahead of fraudsters, leveraging innovative technology and deep domain expertise. . Our culture and values: We’re united by a single, critical mission - stopping fraud before it impacts businesses. Curiosity, innovation, and proactive action define our approach. We value transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work. Problem-Driven Innovation : We're deeply committed to solving real challenges that genuinely matter for our customers. Rapid Action & Ownership : We encourage autonomy and accountability—own your projects, move quickly, and shape the future of Gala Intelligence. Collaborative Excellence : Cross-team collaboration ensures alignment, sparks innovation, and drives us forward together. Continuous Learning : Fraud evolves rapidly, and so do we. Continuous improvement, experimentation, and learning are core to our success. If you're excited by the opportunity to leverage technology in the fight against fraud, and you're ready to build something impactful from day one, we want to hear from you!

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $8 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners. At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do. Job Description Who You’ll Work With The TSE works in a non-silo environment, supporting all of Arista’s products and the many network protocols and features covered by EOS. He or she will work directly with both the customer and (when needed) the software and hardware development teams. The TSE team also performs all their own recreates in a dedicated lab environment. Giving customers direct access to a high-level engineer streamlines the support process and raises customer satisfaction. What You’ll Do Respond to customer product inquiries via telephone or in written, internet-based email. Resolve customer concerns raised during installation, operation, maintenance or product application or compatibility matters. Interpersonal skills and product knowledge and expertise are critical to responding to daily customer-centric activities. Troubleshoot problems with hardware equipment and software applications and recommends corrective action. Document customer communication and recurring technical issues to support product quality programs and product development. Qualifications The ideal candidate possesses the ability to troubleshooting complex and dynamic customer environments while balancing the communications needs of each case. A strong analytical mind is required, as is the ability to triage. As we are continually releasing new features and products, a high aptitude for both learning and teaching are required. Our engineers work closely with other members of Customer Engineering as well as both Software and Hardware development—both in diagnosing problems as well as communicating them in multiple technical contexts. Thus, excellent written and verbal communication skills are a must, as is a collaborative approach. Working knowledge of networking industry, products, and protocols Minimum of 1-5 years hands-on experience and a combination of the following; designing, deploying, configuring, supporting, trouble shooting, debugging and administering the following network protocols and technologies: AAA/TACACS, ACL, ARP, BGP (RFC 4271), DHCP, 1G/10G Ethernet (IEEE 802.3ab & IEEE 802.3ae), Flow Control, ICMP, IGMP, IPv4 & IPv6, LACP, LLDP, MPLS, NAT, Open Flow, OSPF (RFC 2328), PIM, QOS, RIP, Sflow, SNMP, STP/RSTP/MST (IEEE 802.1d), VARP/VRRP, VLAN (IEEE 802.1q), VRF Experience with troubleshooting tools such as IXIA, tcpdump, and Wireshark (or similar packet generation and analysis tools) is highly desired A strong comfort level with Linux is highly desired Familiarity with programming/scripting (C++, Java, Python, Perl, JavaScript, shell) a plus. Education Minimum education is a MS in a technical field (CS/EE/ITP preferred). Industry certifications preferred. Prior TAC experience preferred. Additional Information Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand sound software engineering principles and the importance of doing things right. We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools. Our engineers have access to every part of the company, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature. Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.

Department: DSA Channel Location: Pune (with travel across the region as required) Reporting To: National Head – Unsecured Lending Experience Required: 6–10 years Employment Type: Full-time Role Overview The Regional Manager – DSA Channel will drive the personal loan business through Direct Selling Agent (DSA) partners in the region, focusing on acquisition, relationship management, compliance, and achieving monthly disbursement and login targets. The role involves leveraging daily sales performance MIS (target vs. achievement) to optimize DSA and connector performance, managing onboarding processes, and ensuring seamless lead-to-disbursement workflows. The Regional Manager will lead a team of Relationship Officers / DSA Coordinators, foster strong partner relationships, and ensure adherence to compliance and process standards to drive business growth. Key Responsibilities Business Development & Target Achievement Drive monthly disbursement and login targets through active DSA sourcing and partners activation in the region. Identify, onboard, and activate new DSA partners and connectors to expand the channel network. Maximize productivity of existing DSAs through regular engagement, performance tracking, and actionable insights from daily/weekly/monthly MIS reports (sourcing, login, disbursement, rejection, TAT, and target vs. achievement). Push for timely disbursals post-loan offer approval and address discrepant cases to minimize delays and rejection ratios. Relationship Management Build and maintain strong relationships with DSA partners and connectors to ensure long-term engagement and channel loyalty. Conduct regular meetings, training sessions, and performance reviews with DSAs to enhance productivity and resolve queries. Escalate and address partner concerns to ensure smooth lead flow and operational efficiency. Compliance & Process Control Ensure strict adherence to KYC, credit policy, and documentation standards across all sourced cases. Monitor turnaround times (TATs) from lead login to disbursement, maintaining minimal rejection ratios. Coordinate with Credit, Operations, and Disbursement teams to streamline processes and ensure smooth case closures. Team Handling & Coordination Manage and guide a team of Relationship Officers/DSA Coordinators, overseeing field activities, productivity, and reporting. Collaborate with MIS, backend support, and collections teams to streamline post-sales processes and enhance channel performance. Work with tech/product teams to resolve issues related to DSA, Connectors, Application Process, Disbursals, Partners Payouts etc... Reporting & Analysis Prepare and present daily, weekly, and monthly business reports, including partner-wise performance, rejection trends, and business gaps. Analyze funnel performance (lead-to-disbursement) across DSAs, connectors, and cities to identify and address gaps. Recommend process or product improvements based on regional insights and MIS data to drive scalability and efficiency. Key Skills & Competencies Strong DSA network and relationship management skills, preferably in the region. Excellent communication, negotiation, and people management skills. In-depth knowledge of unsecured lending (personal loans), credit documentation, and underwriting processes. Proficiency in Excel, CRM/LMS tools, and sales tracking systems for performance monitoring. Analytical mindset with the ability to derive actionable insights from MIS reports. Local language proficiency is a plus. Preferred Qualifications Graduate/Postgraduate in Business Administration, Finance, or related fields. 6–10 years of experience in DSA/partner channel sales, preferably in NBFC/Fintech sectors with a focus on unsecured lending. Proven experience managing DSA channels or similar sales networks in the lending business.

Role Purpose The Vice President – Operations will lead and oversee all aspects of contract logistics operations across multiple distribution centers and client sites. This strategic role is responsible for driving operational excellence, customer satisfaction, profitability, and innovation through technology and process optimization. Key Accountability Area Operational Leadership Oversee inbound and outbound logistics, warehousing, and distribution operations across regions. Ensure adherence to SLAs, KPIs, and compliance standards. Drive P&L accountability and cost optimization across all operational units. Strategic Planning & Execution Develop and implement long-term operational strategies aligned with business goals. Lead initiatives for process automation, digital transformation, and continuous improvement. Collaborate with cross-functional teams (Sales, IT, HR, Finance) to support growth and scalability. Infrastructure & Technology Plan and execute warehouse infrastructure expansion and upgrades. Leverage WMS, TMS, and sortation technologies to enhance productivity. Evaluate and deploy new tech solutions to improve operational visibility and control. Performance Management Monitor daily/weekly/monthly scorecards and dashboards. Analyse operational data to identify bottlenecks and implement corrective actions. Define and enforce SOPs across all facilities. Team & Stakeholder Management Lead and mentor regional and site-level operations teams. Build a culture of safety, accountability, and customer-centricity. Maintain strong relationships with clients, vendors, and internal stakeholders. Qualification MBA or advanced degree preferred. Work Experience More than 15+ Proven track record of managing large-scale contract logistics operations and experience in building and scaling multi-client warehouse facilities. Technical Competencies Expertise in WMS/TMS platforms, automation. Strong commercial acumen and contract management skills. Proficiency in data analytics and performance metrics. Behavioral Competencies Strategic thinking and problem-solving ability. Leadership and team-building skills. Customer orientation and cost consciousness. Excellent communication and stakeholder management.

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role And Responsibilities In the IBM Chief Information Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Preferred Education Master's Degree Required Technical And Professional Expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience 5+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment. Successful completion of Coding Assessment Preferred Technical And Professional Experience Data Science specialized

About us: 5paisa Capital Ltd. stands at the forefront of India's fintech revolution, offering a comprehensive digital platform for retail investors and traders. With a commitment to democratizing financial services, 5paisa provides a suite of products including stocks, Futures & Options, Mutual Funds, IPOs, all accessible through user-friendly mobile applications and web platforms. Today 5paisa is a go-to platform for serious traders and investors. Role Summary: We are seeking an experienced QA Lead with expertise in both automation and manual testing to ensure the quality, reliability, and performance of our software applications. The ideal candidate will be responsible for developing test strategies, creating detailed test plans, writing test scripts, executing test cases, and collaborating with cross-functional teams to deliver high-quality software products. Key Responsibilities: 1.Test Planning & Design: Develop comprehensive test strategies and plans for both automation and manual testing. Identify and define test scenarios and test cases based on functional and technical requirements. 2.Automation Testing: Design, develop, and maintain automation frameworks using tools such as Selenium, Cypress, or similar. Write reusable, scalable, and efficient test scripts to automate functional, regression, and performance tests. Integrate test automation into CI/CD pipelines for continuous testing. 3.Manual Testing: Conduct detailed manual testing of applications, including exploratory, functional, integration, and user acceptance testing (UAT). Identify, document, and track defects using bug-tracking tools. Collaborate with developers to reproduce and resolve issues. 4.Quality Assurance: Perform thorough testing of web, mobile, and desktop applications across different platforms and devices. Ensure applications meet functional, performance, security, and scalability standards. 5.Collaboration & Communication: Work closely with developers, product managers, and business analysts to understand requirements and design test cases accordingly. Provide detailed and accurate status reports on testing progress and quality metrics. 6.Continuous Improvement: Identify opportunities for process improvements and implement best practices in testing and quality assurance. Keep updated with the latest testing tools, methodologies, and trends. Key Skills & Qualifications: 1.Education: Bachelor's degree in Computer Science, Information Technology, or a related field. 2.Experience: 7+ years of experience in software testing (manual and automation). Proven experience with automation tools like Selenium, Appium, Cypress, or similar. 3.Technical Skills: Proficient in programming languages like Java, Python, or JavaScript for test automation. Hands-on experience with test management and defect tracking tools such as JIRA, TestRail, or Zephyr. Strong knowledge of APIs and testing tools like Postman, RestAssured, or SoapUI. Familiarity with CI/CD tools like Jenkins, Git, or Azure DevOps. 4.Domain Expertise: Experience in testing web, mobile, and desktop applications. Understanding of Agile methodologies and DevOps practices. 5.Soft Skills: Strong analytical and problem-solving skills. Excellent communication and documentation abilities. Leadership and mentoring experience are a plus. What You Can Expect: Learning and Growth - Be part of a team that values continuous learning and encourages mentorship. Your journey with us will involve expanding your skill set and shaping your career path. Dynamic Environment - Expect a dynamic and challenging work environment where your expertise directly influences the success of our private cloud platform. Mentorship and Leadership - Experience a collaborative culture where your contributions matter. Foster a learning environment by providing mentorship and technical leadership. This isn’t just another job. It’s a front-row seat to the future of finance — and you’re invited. We value diversity in all its forms — backgrounds, perspectives, experiences — and are committed to building an inclusive environment where every employee feels respected, heard, and empowered to grow. We do not discriminate based on race, religion, caste, color, gender identity or expression, sexual orientation, age, marital status, disability, or any other legally protected status. Our hiring decisions are based on merit, capability, and alignment with our values — always.

About the role At Flipkart, SDE-2 are engineers who create features based on product requirements. You’re expected to design and code in multiple tech components related to your functional area. You’re required to learn the best practices and design principles and patterns to make the code-base maintainable and extensible. You must also develop a deep understanding of non-functional requirements, such as reliability and availability, scale, horizontal scalability, etc. over time and make tech stack decisions accordingly. We are looking for engineers who are well rounded - quality conscious, product thinkers, business cognizant and smart – not mere coders. Engineers get to significantly amplify their impact with the scale that Flipkart operates at. What you’ll do: ● Design components by translating product requirements, break down project into tasks and provide accurate estimates ● Independently come up with different solutions, extensible Low level design. Write modular, extensible, readable and performant code ● Choose the right Data Structures, tools and tech stacks and be able to do High Level Designing with guidance. ● Build, develop, mentor and coach junior team members ● Collaborate with teams by contributing to the shared vision and working closely with cross-functional stakeholders. What you’ll need: ● B.Tech or M.Tech or equivalent with at least 3-year of experience ● Build abstractions and contracts with separation of concerns for a larger scope. ● Extensive programming experience in any one programming language like Java, Ruby, Clojure, Scala,C or C++, SQL etc ● Strong object-oriented programming skills. ● Experience with multi-threading and concurrency programming ● Ability to work with complex business flows and dealing with huge amounts of data. ● Prior work experience in an agile environment or continuous integration and continuous delivery (CI or CD) ● Experience of building robust and scalable web-application is good to have.

Machine Learning Associate Advisor About Evernorth Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there. Position Overview We are looking for Machine Learning Engineer with strong experience on LLM’s and frameworks to develop GenAI/Agentic AI solutions. Good understanding on Deep learning and strong programming skills are required as part of this role. Good to have full stack development expertise to evaluate new Large Language Models (LLMs) and make them available for the enterprise in a compliant and secure manner. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Responsibilities Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions. Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions. Build solutions that align with responsible AI practices. Work with both open-source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Qualifications Required Skills: Experience working with recommendation engines, data pipelines, or distributed machine learning. Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Extensive experience in research with sequential modelling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning. Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Strong knowledge of data structures, algorithms, and software engineering principles. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Required Experience & Education 8-11 Years of Experience Previous experience as Machine Learning Engineer / Prompt Engineer and strong programming skills. Experience working within the healthcare industry is desirable. Familiarity with healthcare-specific IT systems and industry regulations, such as Electronic Health Record systems and HIPAA, is an added advantage. Desired Experience: Exposure to Gen AI and Cloud systems like AWS. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

AI and Machine Learning Lead Analyst Position Overview You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions Provider and Core Technology. Your focus will be developing the best fit solutions, leveraging Large Language Models (LLMs) and Generative AI solutions. You will be working closely with business stakeholders, Machine Learning Engineers, to help us to transform the end-to-end value chain across various are. The work you do will impact on millions of customers, members, and employers that rely on Cigna every day. Responsibilities Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Build solutions that align with responsible AI practices. Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with both open-source models(TensorFlow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Qualifications 5 – 8 years of experience in technology Experience working with recommendation engines, data pipelines, or distributed machine learning. Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 2-3 years of experience in research with sequential modeling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. 2 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning. Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Strong knowledge of data structures, algorithms, and software engineering principles. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Summary Job Summary: We are seeking a highly skilled and experienced Digital Analytics Manager, to manage and lead project execution form technical and functional front as an Individual contributor. As the Digital Analytics Manager, you will be responsible for driving the digital analytics strategy, managing data analysis, and providing actionable insights to optimize our digital marketing initiatives. You will work closely with cross-functional teams, including marketing, data science, and digital specialists, to develop data-driven strategies and enhance the digital experience for our customers. This is an excellent opportunity to take a leadership role, shape the digital analytics function, and contribute to the growth and success of a leading global healthcare company. Responsibilities About the Role Develop and execute a comprehensive digital and medical analytics strategy to support the organization's digital objectives and drive business growth. Mentor a team of digital analysts, providing mentorship, guidance, and expertise to drive actionable insights and data-driven decision-making. Serve as the primary point of contact for all digital analytics needs, collaborating with stakeholders to understand business requirements and provide optimal solutions. Define and implement digital performance metrics, KPIs, and success criteria, and ensure proper tracking and data collection across various digital channels. Utilize advanced web analytics tools (e.g., Google Analytics 360, Adobe Analytics) to measure, track, and report on digital performance metrics, conducting in-depth analysis to uncover key insights and opportunities. Develop and maintain advanced dashboards and reports that provide actionable insights and visualizations to stakeholders at different levels of the organization. Provide strategic recommendations based on data insights to optimize digital marketing strategies, enhance user experiences, and drive business outcomes. Collaborate with data scientists and digital specialists to develop advanced analytical models, conduct predictive analysis, and enhance personalization and targeting strategies. Stay up-to-date with industry trends, advanced digital analytics methodologies, and emerging technologies, applying them to drive innovation and enhance our digital capabilities. Lead the development and maintenance of digital analytics frameworks, processes, and tools to ensure data accuracy, automation, and scalability. Collaborate with cross-functional teams to implement data governance policies and ensure compliance with regulatory requirements. Qualifications Bachelor's degree in Computer Science, Marketing, Statistics, or a related field. Master's degree is preferred. 7+ years of experience in digital analytics or a relevant analytical role, with a proven track record of driving digital success. Strong expertise in using advanced web analytics platforms (e.g., Google Analytics 360, Adobe Analytics) and familiarity with digital marketing concepts. Proficiency in using SQL, Python, Snowflake or R for data manipulation and analysis. Experience with data visualization tools (e.g., Power BI) is a plus. Experience leading a team of analysts, providing mentorship, guidance, and fostering a culture of continuous learning. Strong analytical mindset with the ability to translate data into strategic insights and actionable recommendations. Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders. Proven experience in developing and executing digital analytics strategies, driving data-driven decision-making, and delivering impactful results. Strong attention to detail and ability to manage multiple projects, prioritize tasks, and meet deadlines. Experience in the pharmaceutical or healthcare industry is a plus. Fluency in English is required, additional language skills are a plus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Job Title: Data Modeler Experience Required: 7+ Years Location: [Specify Location] Job Summary: We are looking for a highly skilled Data Modeler with strong experience in data integration tools such as IBM Datastage and Talend. The ideal candidate will be responsible for designing and implementing scalable data models that support enterprise data architecture, analytics, and reporting needs. This role requires a deep understanding of data warehousing, ETL processes, and data governance principles. Key Responsibilities: Design and develop conceptual, logical, and physical data models for enterprise data systems. Collaborate with business stakeholders, data architects, and ETL developers to gather requirements and translate them into data models. Ensure data models align with business rules, data governance standards, and performance requirements. Work closely with ETL teams to support data integration using Datastage and Talend . Conduct data profiling, gap analysis, and source-to-target mapping. Maintain metadata and documentation for all data models and transformations. Optimize data structures for performance, scalability, and maintainability. Support data quality initiatives and ensure consistency across data platforms. Required Skills & Qualifications: 5 to 7 years of experience in data modeling and ETL development . Proficiency in IBM Datastage and Talend for data integration. Strong knowledge of data warehousing concepts , dimensional modeling , and normalization techniques . Expertise in SQL and working with relational databases (e.g., Oracle, SQL Server, PostgreSQL). Experience with data governance , data quality , and metadata management . Familiarity with cloud data platforms (AWS, Azure, GCP) is a plus. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with Agile/Scrum methodologies . Exposure to Big Data technologies (e.g., Hadoop, Spark). Knowledge of data cataloging tools and data lineage tracking . Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

Job Title: Backend Developer Intern – ASP.NET Company: Growhut Technologies Private Limited Job Type: Internship Job Location: Remote Stipend: INR 10,000 - 15,000 per month Internship Duration : 6 Months Start Date: Immediate About Growhut Technologies: Growhut Technologies is a product-driven software company focused on building scalable, secure, and intelligent digital solutions. We specialize in modern web and mobile technologies, serving clients across various industries with robust backend systems and cloud-native architectures. Position Overview: We are hiring a Backend Developer Intern (ASP.NET) to join our core engineering team. You will be responsible for designing, building, and maintaining server-side logic, database interactions, and API layers of our web applications. The ideal candidate has experience with the Microsoft tech stack and is comfortable working in a fast-paced, collaborative environment. Key Responsibilities: Design, develop, and maintain backend services using ASP.NET/ASP.NET Core and C#. Develop, document, and consume RESTful APIs and integrate them with frontend components. Write clean, scalable, and well-documented code that adheres to coding standards and best practices. Work with SQL Server or other relational databases for data modeling, migrations, and optimized queries. Collaborate with frontend developers, DevOps, and QA teams to deliver end-to-end solutions. Implement unit/integration tests and participate in code reviews to ensure reliability and robustness. Optimize application performance and troubleshoot issues in staging and production environments. Ensure application security, authentication/authorization (JWT, OAuth), and data protection best practices. Follow performance, scalability, and observability best practices across services. Requirements: Strong programming skills in C# and ASP.NET/ASP.NET Core. Hands-on experience with Entity Framework (EF/EF Core) and LINQ. Proficient in working with SQL Server or similar relational databases. Solid understanding of OOP principles, design patterns, and RESTful API development. Familiarity with version control systems (Git) and collaborative workflows. Experience with authentication/authorization mechanisms (JWT, OAuth, Identity). Bonus: Experience with Azure/AWS, microservices, or containerized applications (Docker/Kubernetes). Preferred Qualifications: Bachelor’s degree in Computer Science, IT, or related field. 1–3 years of experience in backend development (or strong internship/project experience for junior roles). Strong communication and problem-solving skills. Ability to work independently and take ownership of tasks in a remote environment. Why Join Growhut? Real-world exposure: Work on live projects and build your portfolio. Guidance from experts: Learn from experienced backend developers and architects in the .NET ecosystem. Flexible and remote work: Gain valuable experience while managing your schedule. Path to full-time: Outstanding performers may be considered for permanent positions.

Experience: 2-3 years Compensation: 20 - 30L INR About Us At GigaML, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises. Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy, and scalability. We’ve deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors. We recently raised our Series A and are scaling rapidly across industries with long-term enterprise partnerships already in place. Why Join Us? Momentum: Be part of a team that’s achieved validation from both customers and investors Impact: Help us deliver reliable 24x7 support across time zones Growth: Gain deep exposure to production infrastructure and learn how high-velocity teams operate About The Role We’re hiring a Technical Support Engineer to handle real-time customer issues, triage production alerts, and maintain our support systems. This is a high-responsibility role where your attention to detail, responsiveness, and communication will help us deliver industry-leading support across global customers. What You’ll Do: Monitor incoming support tickets and production alerts Diagnose and triage customer issues, escalating to on-call engineers when needed Investigate root causes and help improve resolution documentation Own incident communication and keep customers informed with clear, timely updates Continuously improve monitoring, response workflows, and internal runbooks Partner with engineering and ops to improve system resilience and alerting quality Who You Are / Must-Haves: 2–3 years of experience in technical support, systems operations, or site reliability Bachelor’s degree in Computer Science or related technical field Strong problem-solving and communication skills Familiarity with AWS or other cloud infrastructure platforms Comfortable with logs, monitoring dashboards, and basic API tools Highly dependable and able to manage and own real-time incidents independently Interview Process Screening call w/ recruiting lead (20 min) Intro call w/ CEO (15 min) Technical interview on real-world troubleshooting and support workflows (45 min) Final Interview w/ Engineering Leadership (60 min)

About the Company : Mercans is a Global Payroll and SaaS Company. We offers a broad range of services that support businesses in streamlining their workforce management, end to end payroll processing and ensuring compliance across various international markets. About the Role : We're looking for "Sr. Product Manager - Payroll & Integration" , it's a fully remote opportunity. The Senior Product Manager (SPM) at Mercans plays a pivotal role in driving the vision, development, and delivery of key modules within the global payroll SaaS platform. The SPM leads strategic product planning, execution, and continuous improvement across assigned domains, ensuring alignment with business goals, customer needs, compliance requirements, and market trends. In this senior leadership capacity, the SPM translates vision into outcomes—owning roadmaps, defining innovative and differentiated product features, driving product-led growth, and collaborating across Product, Engineering, Compliance, Operations, Business Development, and Support. The role is essential to building a scalable, secure, and intelligent platform that supports Mercans’ global expansion and industry leadership in payroll SaaS. Must Haves : Experience: 10 - 22 years of experience into Core Payroll Product Management or Multi-Country Payroll Product Integration. Work Location: Anywhere (As it's a Remote Opportunity) We are specifically looking for candidates from Payroll Outsourcing OR from Payroll SaaS based companies. Minimum Requirements: ● Deep knowledge of global payroll processes, including gross-to-net calculations, statutory configuration, regulatory compliance, and localization across multiple jurisdictions. ● Proven experience delivering compliance-sensitive product features across globally distributed platforms, including coordination with cross-functional teams (Compliance, QA, Security, Engineering). ● Strong technical proficiency in APIs, modular architecture, platform scalability, and data integration strategies with systems such as HRIS, ERP, and WFM. ● Demonstrated expertise in Agile product development, including backlog management, epic/story creation, sprint planning, and roadmap ownership. ● Ability to translate business and compliance requirements into scalable, customer-centric product solutions with traceable outcomes. Key Responsibilities: ● Own the product vision, roadmap, and delivery strategy for assigned verticals, ensuring alignment with business objectives, customer priorities, and market trends. ● Analyze market trends, emerging technologies, competitive offerings, and customer feedback to identify product gaps and innovation opportunities. ● Define and deliver unique, forward-looking features that serve as clear unique selling points (USPs) and enhance Mercans’ market positioning. ● Analyze market trends, emerging technologies, competitive offerings, and customer feedback to identify product gaps and innovation opportunities. ● Define and deliver unique, forward-looking features that serve as clear unique selling points (USPs) and enhance Mercans’ market positioning. ● Collaborate with Customer Success/BAU Managers (CSMs) to ensure successful feature onboarding, usage optimization, and value realization. ● Participate in QBRs, onboarding workshops, and strategic client conversations to align roadmaps with client outcomes. ● Define product features and APIs to support white-label clients, resellers, and channel partners. ● Deliver integration toolkits, configuration documentation, and reusable interface specifications to support scalable partner implementations. ● Collaborate with Operations and Support teams to align product features with real-world delivery processes. ● Identify product-led solutions to reduce onboarding effort, eliminate manual configuration errors, and streamline client setup. ● Ensure statutory compliance across all jurisdictions supported by the platform, including delivery of legal updates and localization features. ● Maintain audit-readiness documentation for ISO/SOC requirements, including traceability of requirements, QA artifacts, and release history ● Lead ideation and delivery of AI/ML-powered features such as predictive payroll error detection, intelligent configuration recommendations, and fraud monitoring. ● Partner with Data Science and Engineering to validate models, build MVPs, and track feature outcomes in production. ● Define product success metrics including usage, adoption, retention, task completion time, and operational savings. ● Collaborate with Analytics teams to track real-time performance dashboards and provide post-release outcome reports to stakeholders.

Role Description Job Title: Frontend Developer (React.js) Experience Required 6–9 Years in React.js Application Development Job Summary We are seeking an experienced Frontend Developer with a strong background in React.js to join our development team. The ideal candidate will have hands-on experience in designing, developing, testing, and deploying responsive web applications. You will be responsible for building modern, scalable user interfaces and integrating seamlessly with backend services. Key Responsibilities Design and develop scalable web applications using React.js. Implement efficient API calls and manage data fetching mechanisms. Manage application state using appropriate state management libraries (e.g., Redux, Context API). Utilize UI libraries and frameworks to build data-rich interfaces. Implement React Router for effective client-side routing and navigation. Integrate WebSockets for real-time data updates where needed. Optimize application performance for speed and scalability. Handle deployment and hosting of frontend applications. Testing Responsibilities Candidate must have hands-on experience with: Unit Testing using Jest and React Testing Library. Component Testing with React Testing Library or Enzyme. Integration Testing, including mocking API calls using tools like MSW or Axios mocks. End-to-End (E2E) Testing using Cypress or Playwright. Additional Technical Requirements Solid experience with SQL scripting. Desired (Optional) Skills Familiarity with Docker for containerization. Exposure to AWS Services such as: EC2 Lambda Functions Docker deployments on AWS Python-based deployment workflows Required Skills JavaScript (ES6+) React.js UI Development HTML, CSS, REST APIs Skills Javascript,React.Js,Ui Development

Role Description Job Title: Jr. ML Engineer Experience Range Industry: 3–5 years Academic: 1–2 years (relevant ML/AI research or projects) Hiring Location: Trivandrum Must Have Skills Programming: Strong expertise in Python or R Applied Machine Learning: Problem framing – ability to choose between Supervised, Self-supervised, or Reinforcement Learning (RL) Data wrangling – experience with Weak/Distant Supervision, Pseudo-labelling, strong EDA, data preparation, labelling, and data augmentation End-to-end modelling in ML, DL, and RL Experience with Single models, Ensembles, Mixture of Experts Understanding of Mathematical Induction, Tree Induction, Deep Learning fundamentals, and optimization algorithms like SGD Transfer learning – N-shot learning (or variants), fine-tuning skills ML/DL Verticals: Expertise in at least one – Time Series Modelling, Computer Vision, NLP, or RL Portfolio: GitHub with original ML repositories Kaggle with decent leaderboard positions Tools & Libraries: Proficiency in TensorFlow or PyTorch MLOps: Experience running ML experiments Deploying ML solutions into production (TFServe, Seldon, custom serving – interactive, batch, and stream serving) Performance and scalability optimization Data Engineering: Ensuring smooth data flow between databases and backend systems Custom Development: Implementing custom ML algorithms (e.g., custom SGD) and designing own DNN architectures when needed Good To Have Skills Experience with Kubeflow, MLflow, Airflow, or SparkML AI/Automation-related patents Exposure to statistics and probability Dockerized code execution experience Familiarity with Kubernetes (preferred as the company uses it) Computer Science or IT background Skills AWS DEVOPS,JAVA,SPRINGBOOT

Role Description Job Title: Jr. ML Engineer Experience Range Industry: 3–5 years Academic: 1–2 years (relevant ML/AI research or projects) Must Have Skills Programming: Strong expertise in Python or R Applied Machine Learning: Problem framing – ability to choose between Supervised, Self-supervised, or Reinforcement Learning (RL) Data wrangling – experience with Weak/Distant Supervision, Pseudo-labelling, strong EDA, data preparation, labelling, and data augmentation End-to-end modelling in ML, DL, and RL Experience with Single models, Ensembles, Mixture of Experts Understanding of Mathematical Induction, Tree Induction, Deep Learning fundamentals, and optimization algorithms like SGD Transfer learning – N-shot learning (or variants), fine-tuning skills ML/DL Verticals: Expertise in at least one – Time Series Modelling, Computer Vision, NLP, or RL Portfolio: GitHub with original ML repositories Kaggle with decent leaderboard positions Tools & Libraries: Proficiency in TensorFlow or PyTorch MLOps: Experience running ML experiments Deploying ML solutions into production (TFServe, Seldon, custom serving – interactive, batch, and stream serving) Performance and scalability optimization Data Engineering: Ensuring smooth data flow between databases and backend systems Custom Development: Implementing custom ML algorithms (e.g., custom SGD) and designing own DNN architectures when needed Good To Have Skills Experience with Kubeflow, MLflow, Airflow, or SparkML AI/Automation-related patents Exposure to statistics and probability Dockerized code execution experience Familiarity with Kubernetes (preferred as the company uses it) Computer Science or IT background Skills ML ENGINEER,PYTHON,NLP,AIML

DronaHQ is an AI-powered low-code platform helping businesses rapidly build internal tools and enterprise-grade applications with ease. With a focus on speed, scalability, and customization, we empower teams to bring their ideas to life faster and smarter. The Role (Sales Development Representative (SDR) Location: Mumbai Type: Full-time Reports to: Sales/Revenue Lead 🎯 About the Role We're looking for a curious, driven, and resourceful Sales Development Representative (SDR) to join our growth team. As the first line of conversation with potential customers, you'll play a key role in discovering qualified leads and opening high-quality sales conversations. You’re not just sending cold emails — you’re scouting for &investigating intent signals , asking the right questions, and building relationships that convert into real opportunities. 🛠️ Responsibilities Proactively identify and qualify leads via outbound and inbound channels (email, LinkedIn, cold calls, events, etc.) Research accounts, personas, and buying triggers to create highly personalized outreach Initiate conversations, uncover customer pain points, and ask thoughtful questions to identify fit Maintain a cadence of smart follow-ups using modern tools (CRM, sequences, signals) Monitor intent data, buying signals, and prospect behavior to prioritize high-likelihood leads Collaborate with marketing and sales teams to optimize lead qualification and hand-off processes Maintain clear, up-to-date records of interactions and pipeline activity 🚀 What We’re Looking For A naturally curious mindset — someone who genuinely wants to understand the prospect’s business and challenges Strong written and verbal communication skills Confidence in initiating conversations with new people (calls, DMs, video) Tenacity and grit — you don’t give up easily, and you enjoy the hunt Ability to craft smart follow-ups and personalize outreach without sounding robotic A sense of timing: Knowing when to persist and when to pivot Familiarity with sales tools like HubSpot, Apollo, Salesloft, etc. is a plus 🌱 Nice to Have Prior experience in SaaS or tech sales Understanding of buyer intent signals and account-based outreach Exposure to CRM and sales enablement platforms A learning mindset — coachable and feedback-friendly 💡 Why Join Us You’ll work closely with the founding and GTM team — zero fluff, high-impact environment You’ll learn how modern outbound strategies actually work (no spammy templates) You'll have room to grow into AE, partnerships, or strategy roles We care about results, not vanity metrics

Role Overview We are looking for a Full Stack Developer with 2–3 years of hands-on experience to join our Tech team. You will collaborate with designers, strategists, and creatives to build web applications, campaign microsites, interactive tools, and data-driven platforms. This role is perfect for someone who enjoys solving problems, experimenting with new technologies, and bringing creative concepts to reality. Key Responsibilities · Develop, test, and maintain responsive, high-performance web applications and platforms. · Work on both frontend (UI/UX) and backend (API, database) layers. · Collaborate closely with designers and creatives to bring campaign ideas into functional digital experiences. · Integrate APIs, third-party tools, and analytics platforms. · Optimize code for speed, scalability, and SEO. · Troubleshoot and debug technical issues quickly. · Maintain clear documentation for code, APIs, and workflows. · Stay up-to-date with emerging technologies and proactively suggest improvements. Required Skills & Experience · 2–3 years of professional experience in full stack development. · Strong in JavaScript/TypeScript, HTML5, CSS3. · Proficient in React.js, Vue.js, or similar frontend frameworks. · Solid backend experience with Node.js, Express.js (or similar). · Hands-on experience with databases (MySQL, PostgreSQL, MongoDB). · API design & integration (REST, GraphQL). · Experience with Git version control and collaborative development. · Basic understanding of cloud deployment (AWS, Azure, or similar). · Familiarity with CMS platforms (WordPress, headless CMS) is a plus. · Bonus: Experience with interactive campaign tech (WebGL, Three.js, animation libraries)

Role Description Role Proficiency: Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day to day project execution. Outcomes Interpret the application feature and component designs to develop the same in accordance with specifications. Code debug test document and communicate product component and feature development stages. Validate results with user representatives integrating and commissions the overall solution. Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts Optimises efficiency cost and quality. Influence and improve customer satisfaction Influence and improve employee engagement within the project teams Set FAST goals for self/team; provide feedback to FAST goals of team members Measures Of Outcomes Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues Percent of voluntary attrition On time completion of mandatory compliance trainings Code Outputs Expected: Code as per the design Define coding standards templates and checklists Review code – for team and peers Documentation Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation Requirements test cases and results Configure Define and govern configuration management plan Ensure compliance from the team Test Review/Create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain Relevance Advise software developers on design and development of features and components with deeper understanding of the business problem being addressed for the client Learn more about the customer domain and identify opportunities to provide value addition to customers Complete relevant domain certifications Manage Project Support Project Manager with inputs for the projects Manage delivery of modules Manage complex user stories Manage Defects Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate Create and provide input for effort and size estimation and plan resources for projects Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release Execute and monitor release process Design Contribute to creation of design (HLD LLD SAD)/architecture for applications features business components and data models Interface With Customer Clarify requirements and provide guidance to Development Team Present design options to customers Conduct product demos Work closely with customer architects for finalizing design Manage Team Set FAST goals and provide feedback Understand aspirations of the team members and provide guidance opportunities etc Ensure team members are upskilled Ensure team is engaged in project Proactively identify attrition risks and work with BSE on retention measures Certifications Obtain relevant domain and technology certifications Skill Examples Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort resources required for developing / debugging features / components Perform and evaluate test in the customer or target environments Make quick decisions on technical/project related challenges Manage a team mentor and handle people related issues in team Have the ability to maintain high motivation levels and positive dynamics within the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback for team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers and answer customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning handling multiple tasks. Build confidence with customers by meeting the deliverables timely with a quality product. Estimate time and effort of resources required for developing / debugging features / components Knowledge Examples Appropriate software programs / modules Functional & technical designing Programming languages – proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile – Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Broad knowledge of customer domain and deep knowledge of sub domain where problem is solved Additional Comments Mandatory: - 7 or above experience in Java, Spring Framework - Design, develop, and maintain backend services using Java and Spring framework, JUnit, AWS - Implement microservices architecture to enhance system scalability and performance. - Collaborate with cross-functional teams to define, design, and ship new features. - Collaborate with the team on architecture decisions and direction - Utilize REST for efficient communication between services. - Manage and deploy applications using Kubernetes and Docker. - Ensure code quality and maintainability through code reviews and automated testing. - Collaborate with team to enhance frontend applications - Auth0/Okta Integration experience in a Microservices driven solutions What you’ll bring - Proficiency in Java and experience with the Spring framework. - Proficiency in writing unit tests with JUnit - Strong understanding of microservices architecture and RESTful services. - Experience with containerization technologies such as Docker and Kubernetes. - Familiarity with cloud platforms like AWS or GCP. - Knowledge of build tools such as Maven or Gradle. - Knowledge of Kafka and/or Message Queues - Excellent problem-solving skills and attention to detail Skills Spring Boot,kafka,Java,Aws