11+ LACP Jobs in Hyderabad | LACP Job openings in Hyderabad

Mandatory skills:

• Programming skills in Python, Robot framework, Selenium, Shell scripting
• Experience on L2/L3 protocols of VLAN/DHCP/LACP/IGMP/PPPoE.
• Should be familiar with device configuration protocols of CLI/NETCONF/SNMP.
• Experience in telecom technologies like DSLAM/GPON/G.fast/Next gen broadband technologies is highly recommended
• Knowledge on regression/performance/load/scale/stability test areas
• Hands on experience with Common industry equipment like Spirent test center/ixia/Abacus/Shenick(TeraVM)/N2X Traffic generators.
• Exposure to debug tools such as Wireshark/tcpdump.

Job Requirements:

• Knowledge on software Test cycle, test plan and test case creation
• Understanding of End to end test setup topology and debugging.
• Ability to perform System level Functional and Non-functional tests.
• Familiar with Manual test life cycle
• Designing and writing test automation scripts using automation frameworks
• Exposure to CI/CD pipe line implementation and maintenance using Jenkins, Groovy scripting
• Linux skills (system configuration and administration, containers, networking experience and d) such as sockets and database management
• Good debugging skills and knowledge on various debug tools
• Bug reporting/tracking and providing logs.

Education: B.Tech / M.Tech in ECE / CSE / IT

Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles

Proven expertise in digital, analog, and power electronic circuit analysis & design

Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures

Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations

Must have successfully completed at least two hardware product development cycles from high-level design to final deployment

Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews

Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware

Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams

Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation

Proficiency in Cadence Allegro or Altium EDA tools (mandatory)

Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams

Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

looking for Trainer who has experience on any one in Data Analytics Tableau, Power BI, Excel, MYSQL

Job description

Experience: At least 1 year of experience in imparting trainings Bachelor / Master degree in any field

Requirements :

• Good interpersonal with excellent communication skills
• Imparting Training on Tableau, Excel,SQL, Python or R Programming, Statistics.
• Good understanding of Data Analysis concepts and understanding of Machine Learning, Big Data, Business Intelligence Tools.
• Conduct online and classroom training sessions by providing practical use cases and assignments
• Able to cater College Seminar, Workshop, Corporate training.
• Provide Interview Preparation and placement assistance to students
• Manage Data Analytics Training Content including Session Presentations, Assignments, and Quizzes.

WHO YOU ARE

To be successful in this role, you’ll need to have the following skills:

• Love for coding: A fanatic about writing beautiful and scalable code.
• Sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.
• Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems. 
• Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.
• Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact. 

KEY QUALIFICATIONS

• BE/BTech in Computer Science or related field. 
• Minimum 3+ years of UI/Frontend development and a strong understanding of building complex layouts using JavaScript, CSS and HTML.

KEY SKILLS

• Strong computer system analysis and design skills in current methodologies and patterns including vanilla JavaScript, some experience with ReactJS, Redux, React Native, Webpack, and Typescript or similar library/tools.
• Obsessed with WPO (Web Performance Optimization) and web/mobile performance analysis.
• Experienced with web standards and protocols such as HTTP, DNS, TCP/IP, and socket APIs in general.
• Familiar with web security, SEO, accessibility and internationalization.

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.

Intuitive cloud (http://www.intuitive.cloud/">www.intuitive.cloud) is one of the fastest growing top-tier Cloud Solutions and SDx Engineering solution and service company supporting 80+ Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is a recognized professional and manage service partner for core superpowers in cloud(public/ Hybrid), security, GRC, DevSecOps, SRE, Application modernization/ containers/ K8 -as-a- service and cloud application delivery

JD:  UIX Developer.

Requirements:

• 8+ years of experience developing dynamic, highly interactive user interfaces for the web.
• Strong hands on development with Single Page Applications.
• Well versed in software architecture patterns.
• Experience using OAuth and OpenID.
• Strong drive to learn and produce beautiful code.
• Ability to manage and interface with APIs and RESTful web services.

Responsibilities:

• Help write new design patterns, improve and adapt existing design component integration.
• Architect complete front-end stack of projects using HTML/CSS and TypeScript with Angular.
• Ensure responsive implementation.
• Implement UI component design focused on re-usability / scalability / extensibility / supportability.
• Collaborate with fellow developers, designers and analysts to solve problems.

Position Overview:

 As a Field Sales Executive in the Fintech Industry specializing in Payment Gateways, you will be responsible for driving the sales and business development efforts within the Business, Merchant, and Enterprise (BME) segment. You will play a critical role in expanding the market presence of our payment gateway solutions, building and maintaining relationships with clients, and achieving revenue targets.

·      Identify and prospect potential clients within the fintech industry, including startups, established companies, and financial institutions, to promote and sell our payment gateway solutions.

·      Develop and maintain strong relationships with key decision-makers, stakeholders, and partners to ensure a deep understanding of client needs and effectively position our payment gateway offerings.

·      Understand the unique requirements of each client and tailor payment gateway solutions to address their specific needs, showcasing the value and benefits of our services.

·      Maintain a deep understanding of our payment gateway products, features, and industry trends to effectively communicate their advantages to clients.

·      Meet and exceed individual and team sales targets, contributing to the overall revenue goals of the department.

·      Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential areas for business growth and maintain a competitive edge

·      Work closely with cross-functional teams including marketing, product development, and customer support to ensure seamless customer onboarding and exceptional post-sales support.

·      Effectively manage and update sales pipelines, activities, and progress using CRM tools.

·      Provide regular sales reports, forecasts, and insights to management, highlighting achievements and potential areas for improvement

·      Proactively seek opportunities for professional growth, staying current with industry advancements and sales techniques.

Qualifications:

• Bachelor's degree in Business, Marketing, Finance, or related field (or equivalent work experience).
• Proven track record of successful sales in the fintech, payment gateway, or related industry.
• Strong communication, negotiation, and interpersonal skills.
• Ability to understand complex technical concepts and effectively translate them to non-technical clients.
• Self-motivated, proactive, and able to work independently or as part of a team.
• Familiarity with CRM software and sales tools.
• Willingness to travel for client meetings and industry events as required.

Job Description:

• 3 - 4 years of hands-on Python programming & libraries like PyData, Pandas
• Exposure to Mongo DB
• Experience in writing Unit Test cases
• Expertise in writing medium/advanced SQL Database queries
• Strong Verbal/Written communication skills
• Ability to work with onsite counterpart teams

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

• Developer with 3-5 years of well-proven experience in Web UI & middleware REST API development using NodeJS and ReactJS
• Must be well versed with using anonymous functions, Prototypes, Call-back functions, promises in Node JS
• Experience in ReactJS component lifecycle and Redux
• Must be able to create and consume data from REST services.
• Experience in Babel and Webpack
• Must be familiar with Github and GitLab
• Must have strong experience in MYSQL, Postgres relational databases and MongoDB.
• Experience in HTML5, CSS3, SASS, LESS is an added advantage
• Experience in GCP, Azure, AWS cloud technologies is an added advantage
• Familiarity with continuous integration