Senior AI/ML + GenAI Fullstack Engineer

Job Title: Java Developer

Java Developer – Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

 Required Skills: • Exp. - 4 to 14 years.

• Experience in Core Java and Spring Boot.

• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.

 • Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications.

• Good development experience with RDBMS.

 • Good knowledge of multi-threading and high-performance server-side development.

• Basic working knowledge of Unix/Linux.

• Excellent problem solving and coding skills.

• Strong interpersonal, communication and analytical skills.

• Should have the ability to express their design ideas and thoughts.

We are currently seeking skilled and motivated Senior Java Developers to join our dynamic and innovative development team. As a Senior Java Developer, you will be responsible for designing, developing, and maintaining high-performance, scalable Java applications.

Join DataCaliper and step into the vanguard of technological advancement, where your proficiency will shape the landscape of data management and drive businesses toward unparalleled success.

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: Data caliper

URL: https://datacaliper.com/

Work location: Coimbatore

Experience: 3+ years

Joining time: Immediate – 4 weeks

Required skills:

-Good experience in Java/J2EE programming frameworks like Spring (Spring MVC, Spring Security, Spring JPA, Spring Boot, Spring Batch, Spring AOP).

-Deep knowledge in developing enterprise web applications using Java Spring

-Good experience in REST webservices.

-Understanding of DevOps processes like CI/CD

-Exposure to Maven, Jenkins, GIT, data formats json /xml, Quartz, log4j, logback

-Good experience in database technologies / SQL / PLSQL or any database experience

-The candidate should have excellent communication skills with an ability to interact with non-technical stakeholders as well.

Thank you

We are seeking a Cloud Architect for a Geocode Service Center Modernization Assessment and Implementation project. The primary objectives of the project are to migrate the legacy Geocode Service Center to a cloud-based solution. Initial efforts will be leading Assessments and Design efforts and ultimately, implementation of approved design.

Responsibilties:

• System Design and Architecture: Design and develop scalable, cloud-based geocoding systems that meet business requirements.
• Integration: Integrate geocoding services with existing cloud infrastructure and applications.
• Performance Optimization: Optimize system performance, ensuring high availability, reliability, and efficiency.
• Security: Implement robust security measures to protect geospatial data and ensure compliance with industry standards.
• Collaboration: Work closely with data scientists, developers, and other stakeholders to understand requirements and deliver solutions.
• Innovation: Stay updated with the latest trends and technologies in cloud computing and geospatial analysis to drive innovation.
• Documentation: Create and maintain comprehensive documentation for system architecture, processes, and configurations.​

Requirements:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, Geography, or a related field.
• Technical Proficiency: Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and geocoding tools like Precisely, ESRI etc.
• Programming Skills: Proficiency in programming languages such as Python, Java, or C#.
• Analytical Skills: Strong analytical and problem-solving skills to design efficient geocoding systems.
• Experience: Proven experience in designing and implementing cloud-based solutions, preferably with a focus on geospatial data.
• Communication Skills: Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Certifications: Relevant certifications in cloud computing (e.g., AWS Certified Solutions Architect) and geospatial technologies are a plus.​

Benefits:

• Work Location: Remote
• 5 days working​

You can apply directly through the link:https://zrec.in/il0hc?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

Description:

We are looking for a highly capable NodeJS developer to optimize our web-based application performance. You will be collaborating with our front-end developers, designing back-end components, and integrating data storage and protection solutions.

Roles and Responsibilities:

• User authentication and authorization between multiple systems, servers, and environments.
• Extensive web services development with RESTful interfaces
• Integration of data storage solutions, Solution for MongoDB, API Integration
• Responsible for the development and maintenance of applications target for the range of any kind of web application API development and Solidity experience is better if candidate has knowledge.
• Primary focus will be development of React based web applications and their integration with back-end API services.
• Independent practitioner and advanced programmer and will be working alongside cross platform engineers and testers on different layers of the infrastructure.
• Commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
• Ensure the performance, quality, and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.
• Identify and correct bottlenecks and bug fix.
• Help maintain code quality, organization, and automatization.
• Engagement in client communication, requirement collection, analysis, and documentation activities, in case if it would require.
• Design and Implement Architecture solutions
• Contribute in all phases of the development lifecycle
• Able to make sure that the platforms keep up with high standards of scalability, stability, security, and performance.
• Convey effectively all task progress, evaluations, suggestions, schedules along with technical and process issues.
• Troubleshooting bug reports and help to establish ambitious goals to improve our codebase in general

Requirements:

• Minimum 2 years of experience in Node JS
• Should have worked on at least one Node JS framework
• Must have worked on Agile development methodologies.
• Strong understanding of front-end technologies
• In-depth knowledge of Node.js, Express.js, MongoDB, Postman, REST API
• Excellent communication skills both verbal and written (English)
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools

How we work:

• We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams.
• We value open discussion, ownership, and a founder mindset.
• We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making.
• We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year.
• We offer a 100% remote workplace model, health insurance, top performers eligible for attractive equity options, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes, and access to a financial advisor.
• Wobot is an Equal Opportunity Employer

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities: 

• Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions. 
• Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
• Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
• Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
• Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.

What You’ll Do

• Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
• Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data. 
• Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

What You’ll Need

• 7+ years experience in building large scale products, distributed systems in a high caliber environment.
• Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
• Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
• Platform Engineering: Solid understanding of distributed systems and operating systems fundamentals such as concurrency, multithreading, file systems, locking etc.
• Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
• A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
• Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering