Digital Marketing

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. - 5 to 12 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 client facing 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. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. 

Position Responsibilities

●      Answer technical support phone calls on software/hardware.

●      Respond in writing via email to cases entered into an online self service portal.

●      Gather and document all information pertaining to a customer issue into a case ticket, respond to new cases within established timeframes, manage caseload and provide updates to customers with open cases, effectively troubleshoot assigned cases and identify those that need escalation to Senior Analysts.

●      Accurate gathering of data, should a call not be resolved during the initial phone call, it is imperative that the case have the entire details of the issue and suggested recommendations for resolution. If a caller requires additional support of the issue, all pertinent information should be captured for the next analyst.

●      Escalates design, reliability, and maintenance problems to the Technical Support Team Lead / Product Manager.

●      Being proactive and taking the initiative are keys to success. Utilization of slow business periods to train on software functions identified by the Technical Support Team Lead is essential.

●      Follows internal escalation path, involving other departments when needed, documenting each call for ease of escalation.

●      Periodic Installation and Training of software/hardware for clients via remote connection.

Position Requirements

●      Able to work patiently with end-users of both a technical and non-technical background.

●      Strong team player and solution oriented.

●      Ability to negotiate alternatives, know when to escalate a problem, or when to ask for assistance in dealing with the various problems reported.

●      Strong English communications skills, both verbal and written. Must communicate effectively and establish customer rapport quickly while complying with established support processes and procedures.

Knowledge and Skill Requirements

●      Proficiency with Microsoft Windows Operating Systems: 7, Server 2003, Server 2008, Server 10, 11 (x32 & x64)

●      Basic Working knowledge of PC networking, including Network+

●      Familiarity with PC remote control software.

●      Familiarity with google workspace, including docs, sheets, gmail

●      Good analytical problem solving skills.

●      Experience with the standard MS Office suite, including MS Word, Excel and Access.

●      Experience with iPadOS, iOS, MacOS, Android

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

1. Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
2. Work collaboratively with software engineering to define infrastructure and deployment requirements
3. Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
4. Ensure configuration and compliance with configuration management tools
5. Administer and troubleshoot Linux based systems
6. Troubleshoot problems across a wide array of services and functional areas
7. Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
8. Perform infrastructure cost analysis and optimization

• Excellent command over English with the ability to write in various tones and styles.
• Masters in Mass Communication and Journalism or similar field.
• An effective and SEO friendly writing style for web content, articles, blogs.
• Editing and proof-reading skills.
• Must have complete knowledge of social media and core social media marketing.
• Experience in writing research reports and whitepapers.
• Experience in writing Press Releases will be a plus.
• An excellent understanding of Grammar
• Detail oriented and ability to grasp new concepts quickly.

• Content for SocialPilot only such as blogs, web content and articles to be contributed outside
• Editing and reviewing content received
• Topic idea generation for all content
• Ability to work effectively in an environment where tools, processes, and deliverables are not necessarily predefined.
• Excellent attention to detail and ability to multi-task projects and deliverables.
• We don’t want you to get bored writing content all the time, so we need you to interact with like-minded professionals and have fun on social media. This will help you be more creative and also feeds in idea generation.