What you bring to the table (Core Requirements): 5+ years of Java development within an enterprise-level domain Java 8 (11 preferred) features like lambda expressions, Stream API, CompletableFuture, etc. Skilled with low-latency, high volume application development Team will need expertise in CI/CD, and shift left testing Nice to have Golang and/or Rust Experienced with asynchronous programming, multithreading, implementing APIs, and Microservices, including Spring Boot Proficiency with SQL Experience with data sourcing, data modeling and data enrichment Experience with Systems Design & CI/CD pipelines Cloud computing, preferably AWS Solid verbal and written communication and consultant/client-facing skills are a must. As a true consultant, you are a self-starter who takes initiative. Solid experience with at least two (preferably more) of the following: Kafka (Core Concepts, Replication & Reliability, Kafka Internals, Infrastructure & Control, Data Retention and Durability) MongoDB Sonar Jenkins Oracle DB, Sybase IQ, DB2 Drools or any rules engine experience CMS tools like Adobe AEM Search tools like Algolia, ElasticSearch or Solr Spark What makes you stand out from the pack: Payments or Asset/Wealth Management experience Mature server development and knowledge of frameworks, preferably Spring Enterprise experience working and building enterprise products, long term tenure at enterprise-level organizations, experience working with a remote team, and being an avid practitioner in their craft You have pushed code into production and have deployed multiple products to market, but are missing the visibility of a small team within a large enterprise technology environment. You enjoy coaching junior engineers, but want to remain hands-on with code. Open to work hybrid - 3 days per week from office Show more Show less

What you bring to the table (Core Requirements): 5+ years of Java development within an enterprise-level domain Java 8 (11 preferred) features like lambda expressions, Stream API, CompletableFuture, etc. Skilled with low-latency, high volume application development Team will need expertise in CI/CD, and shift left testing Nice to have Golang and/or Rust Experienced with asynchronous programming, multithreading, implementing APIs, and Microservices, including Spring Boot Proficiency with SQL Experience with data sourcing, data modeling and data enrichment Experience with Systems Design & CI/CD pipelines Cloud computing, preferably AWS Solid verbal and written communication and consultant/client-facing skills are a must. As a true consultant, you are a self-starter who takes initiative. Solid experience with at least two (preferably more) of the following: Kafka (Core Concepts, Replication & Reliability, Kafka Internals, Infrastructure & Control, Data Retention and Durability) MongoDB Sonar Jenkins Oracle DB, Sybase IQ, DB2 Drools or any rules engine experience CMS tools like Adobe AEM Search tools like Algolia, ElasticSearch or Solr Spark What makes you stand out from the pack: Payments or Asset/Wealth Management experience Mature server development and knowledge of frameworks, preferably Spring Enterprise experience working and building enterprise products, long term tenure at enterprise-level organizations, experience working with a remote team, and being an avid practitioner in their craft You have pushed code into production and have deployed multiple products to market, but are missing the visibility of a small team within a large enterprise technology environment. You enjoy coaching junior engineers, but want to remain hands-on with code. Open to work hybrid - 3 days per week from office Show more Show less

Role Description This is a remote role for a Freelance Recruiter. The Freelance Recruiter will be responsible for sourcing, screening, and interviewing candidates for various positions. They will collaborate with hiring managers to understand staffing needs and ensure a smooth recruitment process. Qualifications Only 5+ year experience ONLY in recruitment Consultancy experience in recruitment will be a plus Excellent communication and interpersonal skills Strong organizational and time-management abilities Ability to work independently and remotely Must be well versed with LinkedIn Understanding of various sourcing techniques and recruitment platforms if you're ready to take your freelance career to the next level and join a platform that values your skills and expertise, Let's work together to achieve our goals and bring top-quality talent to businesses worldwide. Note - . We don't provide any employment benefits or fixed compensation. Position is on Profit sharing basis ( Commission based )Thus apply only if you are fine for Same Show more Show less

Role and responsibilities: Leadership and Mentorship Team Leadership : Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced méthodologies, and carrer development. Project Management : Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous Learning : Stay at the forefront of industry trends, new technologies, and méthodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder Engagement : Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of Insights : Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive Models : Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative Research : Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis : Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance Metrics : Define and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit Analysis : Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm Development : Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and Simulation : Conduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. What we're looking for Advanced Statistical Techniques : Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AI : Proficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming Languages : Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management : Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data Visualization : Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud Computing : Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative Analysis : Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic Trading : Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Requirements : A bachelor's degree in a related field, such as computer science, data science or statistics. Show more Show less

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. Responsibilities Writing clean, high-quality, high-performance, maintainable code Develop and support software including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to insure project meets business objectives and compliance standards Support test and deployment of new products and features Participate in code reviews Qualifications Bachelor's degree in Computer Science (or related field) 3+ years of relevant work experience Expertise in Object Oriented Design, Database Design, and XML Schema Experience with Agile or Scrum software development methodologies Ability to multi-task, organize, and prioritize work

Role and responsibilities: Leadership and Mentorship Team Leadership : Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced méthodologies, and carrer development. Project Management : Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous Learning : Stay at the forefront of industry trends, new technologies, and méthodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder Engagement : Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of Insights : Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive Models : Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative Research : Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis : Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance Metrics : Define and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit Analysis : Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm Development : Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and Simulation : Conduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. What we're looking for Advanced Statistical Techniques : Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AI : Proficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming Languages : Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management : Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data Visualization : Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud Computing : Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative Analysis : Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic Trading : Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Requirements : A bachelor's degree in a related field, such as computer science, data science or statistics.

Position Overview: We are looking for an accomplished academic leader with strategic vision and a passion for excellence in business education to join us as the Dean – School of Management & Commerce . The Dean will oversee a broad portfolio of programs, including BBA, MBA, B.Com, M.Com , and emerging specializations in Finance, Marketing, HR, Analytics, Entrepreneurship, and International Business . The role involves fostering a dynamic environment for teaching, research, industry collaboration, global outreach , and shaping future-ready business professionals. Key Responsibilities: • Provide academic leadership across all Management and Commerce programs. • Design, review, and enhance curricula in alignment with NEP 2020, OBE, and industry trends. • Promote research excellence, case writing, consultancy, and publication in reputed journals. • Drive institutional accreditations (NAAC, NBA) and ensure compliance with UGC/AICTE norms. • Develop strong industry partnerships for internships, placements, guest lectures, and projects. • Mentor faculty, foster leadership development, and promote continuous professional growth. • Supervise budgeting, infrastructure enhancement, and resource allocation. • Initiate international collaborations, student/faculty exchange, and global learning experiences. • Encourage entrepreneurship, innovation, and practical exposure through incubation and competitions. • Ensure student success through effective mentoring, grievance redressal, and academic support systems. Key Skills and Competencies: • Visionary leadership in Management/Commerce education. • Strong understanding of accreditation standards (NAAC, NBA), academic audits, and quality assurance. • Proven research and publication record (Scopus, ABDC, UGC CARE). • Ability to build and sustain academic-industry alliances and MoUs. • Excellent communication, team-building, and people management skills. • Strategic thinking, innovation-driven approach, and global academic perspective. Qualifications: Essential: • Ph.D. in Management, Commerce, or a related discipline. • MBA/M.Com from recognized institutions with strong academic credentials. • Minimum 15 years of academic experience with at least 5 years in a leadership role (e.g., Professor, Dean, Deputy Dean, HoD). • Experience in managing multi-disciplinary programs and faculty teams. Desirable: • Membership in professional bodies (AIMA, FICCI, ICAI, etc.). • Experience in institutional rankings (NIRF, QS) and international accreditations (AACSB, AMBA). • Exposure to entrepreneurship development cells, incubation centers, and live industry projects. • Global academic exposure through collaborations, conferences, or fellowships.

Role Description This is a remote role for a Freelance Recruiter. The Freelance Recruiter will be responsible for sourcing, screening, and interviewing candidates for various positions. They will collaborate with hiring managers to understand staffing needs and ensure a smooth recruitment process. Qualifications Only 5+ year experience ONLY in recruitment Consultancy experience in recruitment will be a plus Excellent communication and interpersonal skills Strong organizational and time-management abilities Ability to work independently and remotely Must be well versed with LinkedIn Understanding of various sourcing techniques and recruitment platforms if you're ready to take your freelance career to the next level and join a platform that values your skills and expertise, Let's work together to achieve our goals and bring top-quality talent to businesses worldwide. Note - . We don't provide any employment benefits or fixed compensation. Position is on Profit sharing basis ( Commission based )Thus apply only if you are fine for Same

Position Overview: We are seeking an accomplished academic leader with a passion for technology and innovation to join us as the Associate Director / Director – Computer Applications . This role offers a unique opportunity to lead the School of Computer Applications and shape the future of programs such as BCA, MCA , and emerging interdisciplinary tech domains like AI, Data Science, Cybersecurity, and Cloud Computing . The ideal candidate will drive academic excellence, foster cutting-edge research, enhance industry collaborations, and contribute to the global positioning of the department. Key Responsibilities: Lead strategic initiatives and academic planning for the Department of Computer Applications. Oversee curriculum innovation in BCA, MCA, and tech-driven specializations aligned with NEP 2020 and OBE. Encourage faculty research, mentorship, and capacity building. Drive institutional accreditation processes (NAAC, NBA) and regulatory compliance (AICTE, UGC). Build strong industry partnerships for internships, placements, live projects, and faculty exchange. Guide digital transformation, tech-enabled pedagogy, and project-based learning. Promote entrepreneurship, innovation, and incubation through active student engagement. Facilitate international collaborations, student/faculty mobility, and global academic exposure. Supervise academic operations, resource management, and faculty recruitment. Ensure student success, including academic advising, performance tracking, and grievance redressal. Skills and Competencies: Deep knowledge of Computer Applications, Software Development, and Emerging Technologies. Strong leadership and team management skills in an academic setup. Hands-on experience with academic audits, accreditations, and ERP/academic systems. Excellent research credentials with publications/patents in reputed tech high impact journals (SCI/SCOPUS/WoS). Ability to build industry-relevant curriculum, foster collaborations, and adapt to tech trends. Proficiency in handling interdisciplinary projects and national-level hackathons/coding events. Qualifications: Essential: Ph.D. in Computer Applications/Computer Science/IT or a related field. MCA or M.Tech (CS/IT) with consistently good academic records. Minimum 20 years of academic experience with at least 5 years in a leadership role such as Professor, Head, or Dean. Experience in managing UG and PG programs in Computer Applications and building high-performing academic teams. Desirable: Certifications or training in AI, Data Science, Cybersecurity, Cloud, or other niche technologies. Member of professional bodies like CSI, ACM, IEEE, etc. Experience in MoUs, consultancy, funding projects, and national/international rankings. Involvement in innovation cells, startup ecosystems, or Centers of Excellence (CoEs).

Position Overview: We are seeking an accomplished academic leader with a passion for technology and innovation to join us as the Associate Director / Director – Computer Applications . This role offers a unique opportunity to lead the School of Computer Applications and shape the future of programs such as BCA, MCA , and emerging interdisciplinary tech domains like AI, Data Science, Cybersecurity, and Cloud Computing . The ideal candidate will drive academic excellence, foster cutting-edge research, enhance industry collaborations, and contribute to the global positioning of the department. Key Responsibilities: Lead strategic initiatives and academic planning for the Department of Computer Applications. Oversee curriculum innovation in BCA, MCA, and tech-driven specializations aligned with NEP 2020 and OBE. Encourage faculty research, mentorship, and capacity building. Drive institutional accreditation processes (NAAC, NBA) and regulatory compliance (AICTE, UGC). Build strong industry partnerships for internships, placements, live projects, and faculty exchange. Guide digital transformation, tech-enabled pedagogy, and project-based learning. Promote entrepreneurship, innovation, and incubation through active student engagement. Facilitate international collaborations, student/faculty mobility, and global academic exposure. Supervise academic operations, resource management, and faculty recruitment. Ensure student success, including academic advising, performance tracking, and grievance redressal. Skills and Competencies: Deep knowledge of Computer Applications, Software Development, and Emerging Technologies. Strong leadership and team management skills in an academic setup. Hands-on experience with academic audits, accreditations, and ERP/academic systems. Excellent research credentials with publications/patents in reputed tech high impact journals (SCI/SCOPUS/WoS). Ability to build industry-relevant curriculum, foster collaborations, and adapt to tech trends. Proficiency in handling interdisciplinary projects and national-level hackathons/coding events. Qualifications: Essential: Ph.D. in Computer Applications/Computer Science/IT or a related field. MCA or M.Tech (CS/IT) with consistently good academic records. Minimum 20 years of academic experience with at least 5 years in a leadership role such as Professor, Head, or Dean. Experience in managing UG and PG programs in Computer Applications and building high-performing academic teams. Desirable: Certifications or training in AI, Data Science, Cybersecurity, Cloud, or other niche technologies. Member of professional bodies like CSI, ACM, IEEE, etc. Experience in MoUs, consultancy, funding projects, and national/international rankings. Involvement in innovation cells, startup ecosystems, or Centers of Excellence (CoEs).

Project Manager (Insurance Domain) Job Description We seek an experienced and dynamic Project Manager to lead and oversee critical projects within our organization. As a Project Manager, you will be pivotal in ensuring successful project delivery, adhering to timelines, and maintaining high-quality standards. Your expertise in project management methodologies and domain knowledge in insurance will be instrumental in driving our initiatives forward. Responsibilities: Full Lifecycle Management : Lead end-to-end project execution, from initiation to closure. Collaborate with cross-functional teams to define project scope, objectives, and deliverables. Methodology Mastery : Demonstrate proficiency in both Waterfall and Agile methodologies. Tailor the approach based on project requirements, ensuring efficient resource allocation and timely deliverables. Risk Mitigation : Identify and assess project risks. Develop mitigation strategies and contingency plans to minimize disruptions. Stakeholder Engagement : Foster strong relationships with stakeholders, including business units, development teams, and executive leadership. Communicate project progress, risks, and achievements effectively. Budget and Resource Management : Monitor project budgets, allocate resources, and track expenditures. Ensure optimal resource utilization throughout the project lifecycle. Quality Assurance : Uphold quality standards by implementing best practices, conducting regular reviews, and ensuring adherence to project specifications. Domain Expertise (Optional) : If you possess domain knowledge in insurance, leverage it to enhance project outcomes. Understand industry-specific challenges and tailor solutions accordingly. Bringing AI into the Delivery Function : Integrate AI-driven tools and workflows to enhance delivery processes, including: Automating documentation and reporting (e.g., BRDs, SOWs, delivery updates). Using AI for risk prediction and resource optimization in product rollouts. Cultivate a culture of AI adoption within the delivery team, ensuring AI augments team productivity rather than replacing human oversight. Align AI capabilities within the product (e.g., claims automation, fraud detection) with delivery processes to ensure seamless customer onboarding. Qualifications: Education : Bachelor’s degree in Engineering or equivalent. Experience : 5-7 years of dedicated project management experience. 10-15 years of overall professional experience. Certifications (Preferred) : PMP (Project Management Professional) or equivalent. Agile/Scrum certifications . Skills : Strong leadership and communication skills. Proficiency in project management tools and software. Analytical mindset and problem-solving abilities. Attributes : Adaptability : Thrive in dynamic environments and embrace change. Collaboration : Work seamlessly with diverse teams. Results-driven : Focus on achieving project goals. Other Expectations: Available to travel overseas for project-related meetings/discussions etc. Experience in estimation techniques and pre-sales experience. If you are a proactive, results-oriented Project Manager with a passion for driving successful outcomes, we encourage you to apply!

Project Manager (Insurance Domain) Job Description We seek an experienced and dynamic Project Manager to lead and oversee critical projects within our organization. As a Project Manager, you will be pivotal in ensuring successful project delivery, adhering to timelines, and maintaining high-quality standards. Your expertise in project management methodologies and domain knowledge in insurance will be instrumental in driving our initiatives forward. Responsibilities: Full Lifecycle Management : Lead end-to-end project execution, from initiation to closure. Collaborate with cross-functional teams to define project scope, objectives, and deliverables. Methodology Mastery : Demonstrate proficiency in both Waterfall and Agile methodologies. Tailor the approach based on project requirements, ensuring efficient resource allocation and timely deliverables. Risk Mitigation : Identify and assess project risks. Develop mitigation strategies and contingency plans to minimize disruptions. Stakeholder Engagement : Foster strong relationships with stakeholders, including business units, development teams, and executive leadership. Communicate project progress, risks, and achievements effectively. Budget and Resource Management : Monitor project budgets, allocate resources, and track expenditures. Ensure optimal resource utilization throughout the project lifecycle. Quality Assurance : Uphold quality standards by implementing best practices, conducting regular reviews, and ensuring adherence to project specifications. Domain Expertise (Optional) : If you possess domain knowledge in insurance, leverage it to enhance project outcomes. Understand industry-specific challenges and tailor solutions accordingly. Bringing AI into the Delivery Function : Integrate AI-driven tools and workflows to enhance delivery processes, including: Automating documentation and reporting (e.g., BRDs, SOWs, delivery updates). Using AI for risk prediction and resource optimization in product rollouts. Cultivate a culture of AI adoption within the delivery team, ensuring AI augments team productivity rather than replacing human oversight. Align AI capabilities within the product (e.g., claims automation, fraud detection) with delivery processes to ensure seamless customer onboarding. Qualifications: Education : Bachelor’s degree in Engineering or equivalent. Experience : 5-7 years of dedicated project management experience. 10-15 years of overall professional experience. Certifications (Preferred) : PMP (Project Management Professional) or equivalent. Agile/Scrum certifications . Skills : Strong leadership and communication skills. Proficiency in project management tools and software. Analytical mindset and problem-solving abilities. Attributes : Adaptability : Thrive in dynamic environments and embrace change. Collaboration : Work seamlessly with diverse teams. Results-driven : Focus on achieving project goals. Other Expectations: Available to travel overseas for project-related meetings/discussions etc. Experience in estimation techniques and pre-sales experience. If you are a proactive, results-oriented Project Manager with a passion for driving successful outcomes, we encourage you to apply!

Position - Assistant Professor Must have Sills - B.Tech + M.Tech ( CSE ) The assistant professor's responsibilities include teaching a requisite number of classes, providing guidance and supervision to graduate students, participating in departmental meetings, and providing academic support to Professors and other faculty members. Complete knowledge of the educational rules, regulations, and developments in the Education sector Portfolio of published research articles is desirable Displaying a warm and welcoming personality Excellent academic background Highly motivated and passionate individual Strong communication and interpersonal skills Good time management and organizational skills Having an eye for detail and a good listening ear Ability to stand for long hours Good presentation skills Ability to handle stressful situations

The assistant professor's responsibilities include teaching a requisite number of classes, providing guidance and supervision to graduate students, participating in departmental meetings, and providing academic support to Professors Required Candidate profile Must have Sills - B.Tech + M.Tech ( CSE ) Complete knowledge of the educational rules, regulations, and developments in the Education sector

Position - Assistant Professor Must have Sills - B.Tech + M.Tech ( CSE ) The assistant professor's responsibilities include teaching a requisite number of classes, providing guidance and supervision to graduate students, participating in departmental meetings, and providing academic support to Professors and other faculty members. Complete knowledge of the educational rules, regulations, and developments in the Education sector Portfolio of published research articles is desirable Displaying a warm and welcoming personality Excellent academic background Highly motivated and passionate individual Strong communication and interpersonal skills Good time management and organizational skills Having an eye for detail and a good listening ear Ability to stand for long hours Good presentation skills Ability to handle stressful situations

Position - Professor Must have Sills - B.Tech + M.Tech + Phd ( CSE ) The Professor's responsibilities include teaching a requisite number of classes, providing guidance and supervision to graduate students, participating in departmental meetings, and providing academic support to Professors and other faculty members. Complete knowledge of the educational rules, regulations, and developments in the Education sector Portfolio of published research articles is desirable Displaying a warm and welcoming personality Excellent academic background Highly motivated and passionate individual Strong communication and interpersonal skills Good time management and organizational skills Having an eye for detail and a good listening ear Ability to stand for long hours Good presentation skills Ability to handle stressful situations