FPGA Physical Layer Developer for 5G-NR
Experience: 2 years to 6 years
Skill:
FPGA IP Blocks integration using Xilinx Vivado Platform
Knowledge on AXI Protocols
Xilinx PS-PL integration knowledge
RTL Programming: Verilog
FPGA Test Bench Development using Xilinx Vivado
L1/Physical Layer Implementation on Xilinx FPGA (RFSoC)
FPGA Debugging Tools Experience: ILA, chipscope, VIO
Working knowledge of the following engineering tools: Xilinx Vivado, Xilinx ISE/EDK
FPGA Modem/Communication Blocks development/testing experience regarding 4G/5G
or any wireless standard will be preferred
M.Tech. in VLSI will be preferred
Good Academic Score

About Jio Platforms Limited
Similar jobs
Requirements-
- Experience working with Flutter and Dart is required, as well as a thorough understanding of any other native or cross-platform mobile development frameworks.
- 1+ years of experience with Flutter and Firebase programming and debugging abilities are essential.
- A solid understanding of mobile architecture is required.
- It is preferable if you have experience designing PWA apps.
- Excellent knowledge of MongoDB, REST and JSON, SQLite or Couchbase Mobile, Social API integration, third-party libraries and APIs, and Core location APIs, as well as Google Material Design.
- Third-party API networking and integration
- Knowledge or expertise with any NoSQL database and tools like JIRA, Github, Bitbucket, Trello.
Requirements
- 3+ yrs experience in Reactjs (frontend) and Nodejs (Backend) along with good experience in MongoDB.
- Past experience scaling projects from prototype to hundreds of thousands / millions of users is a plus.
- Strong communication skills and past experience leading developers is crucial.
Note:- Remote working is applicable
JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
Company Description
Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
Job Responsibilities:
- Design and implement machine learning, information extraction, probabilistic matching algorithms and models
- Research and develop innovative, scalable and dynamic solutions to hard problems
- Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
- Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
- Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
- Be a valued contributor in shaping the future of our products and services
- You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
- Be part of a fast pace, fun-focused, agile team
Job Requirement:
- 4+ years of industry experience
- Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
- Strong mathematics, statistics, and data analytics
- Solid coding and engineering skills preferably in Machine Learning (not mandatory)
- Proficient in Java, Python, and Scala
- Industry experience building and productionizing end-to-end systems
- Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
- Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.
Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.
- Capable of building accurate machine learning models is the main goal of a machine learning engineer
- Linear Algebra, Applied Statistics and Probability
- Building Data Models
- Strong knowledge of NLP
- Good understanding of multithreaded and object-oriented software development
- Mathematics, Mathematics and Mathematics
- Collaborate with Data Engineers to prepare data models required for machine learning models
- Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
- Build large-scale software systems and numerical computation topics
- Use predictive analytics and data mining to solve complex problems and drive business decisions
- Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
- Tackle situations where problem is unknown and the Solution is unknown
- Solve analytical problems, and effectively communicate methodologies and results to the customers
- Adept at translating business needs into technical requirements and translating data into actionable insights
- Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.
Benefits
- Competitive salary for a startup
- Gain experience rapidly
- Work directly with the executive team
- Fast-paced work environment
About Phenom People
At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.
Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.
We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.
Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.
We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.
Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.
Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/
https://www.phenom.com/">Phenom | Talent Experience Management
We’re building the future of private financial markets
Traditionally a space only for the wealthy and well-connected, we believe in a future where private markets are more accessible to investors and fundraisers. By leveling the playing field we hope to create a more equitable economy, where inspiring companies are connected to inspired investors, whoever and wherever they are.
Leveraging our trusted brand, global networks and incredible team, we’re building a technology-enabled ecosystem that is as diverse and dynamic as our investor network. As we progress on this ambitious journey, we’re looking for energetic and creative people to support and leave their mark on our platform.
Before Applying
- We have big plans to disrupt the traditional fundraising process for private businesses
- You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
- Everything we do is focused on helping build the private capital markets for the next generation of business owners and investors
- We work really hard but play really hard as well
Job purpose
- We are looking for passionate Data Scientists with strong problem-solving skills and prior experience in building machine learning models. You should possess the ability to thrive in a fast-paced environment. As a Data Scientist, working with passionate data-driven enthusiasts, you will lead the deployment of decision sciences with advanced analytics as well as machine learning and AI capabilities to support various lines of businesses. You will also help to enable a data driven culture within the organization.
Roles and responsibilities
- Work with other Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products
- Work on cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment
- Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
- Apply your expertise in data science, statistical analysis, data mining and the visualisation of data to derive insights that value-add to business decision making (e.g. hypothesis testing, development of MVPs, prototyping etc).
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization and communication deliverable.
You’ll be a great fit for us if you
- Bachelor or Master’s in Computer Science, Statistics, Mathematics, Economics, or any other related fields
- At least 3 to 5 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics,multi-variate testing and algorithm-optimization for machine learning
- Deep expertise in a range of ML concepts, frameworks and techniques such as logistic regression, clustering, dimensional reduction, recommendation systems,neural nets etc.
- Strong understanding of data infrastructure technologies (e.g. Spark, TensorFlow etc).
- Familiarity with data engineering methodologies, including SQL, ETL and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS or other big data platforms.
- Highly proficient in data visualization and the use of dash boarding tools (e.g.Tableau, Matplotlib, plot.ly etc).
- Proven track record in delivering bespoke data science solutions in a cross-functional setting.
- Experience in managing a small team is preferred.
Bonus attributes
- Interested in dealing with data, including finding, and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
- Preferably have some understanding of terms in financial statements and financial ratios
- Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
- Ability to work under pressure and tight timings
- Team oriented, but highly independent for their own projects
- High level of organisational skills and ability to prioritize
- Strong in Web technologies (Angular, HTML, CSS) with full-stack development experience
- Database design and management, including being up on the latest practices and associated versions
- Server management and deployment for the relevant environment
- Familiarity with a relevant and globally supported framework—both front-end and back-end.
- Experience in Agile development methodologies
- Experience working with source control like GIT
- Good communication, client interfacing skills, and decision-making capability
Education:
- B.Tech (2020, 2021 Passout Candidates only)
Experience:
- Fresher / Trained Fresher
Skills Required for Back-End (NodeJS) JR Developer (2-4 Yrs) /Sr Developer (4-8 Yrs) /Lead Developer (8-10 Yrs) /Architect (10-12 Yrs):
- Must: Strong experience and understanding of NodeJS and JavaScript Programming, Good at Native Cloud or AWS
- Good knowledge of MongoDB or any other NoSQL Database, Redis, Elasticsearch, etc.
- Good understanding of scalable computing systems, software architecture, data structures, and algorithms.
- Experience working with AWS or other cloud providers
- Experience in service-oriented and/or microservice architectures
- Good to have knowledge with stream processing applications, Event-driven Architecture, Identity management (OAuth) - Not Mandatory
- Good knowledge of Redis, its data types, and their use cases along with a server-side framework
- Experience developing and deploying REST APIs.
- Good to have an understanding of low-level Kafka inner workings and partitioning schemes - Not Mandatory
Responsibilities:
- Design, build, review and evolve durable, highly scalable event-driven infrastructure
- Architect and lead the development of backend services.
- Work with REST APIs and integrating them with our software platform
- Develop front end capabilities such as dashboards, visualizations, features
- Work on building best performance UI features and linking with backend
- Integrate all the front end features with a backend pipeline
- Integrate our AI models with the platform pipeline
- Work on bug fixing and improving application performance
- Unit-test code for robustness, including edge cases, usability, and general reliability
- Own new initiatives, Debug production issues
- Help define the way we work in the future including coding and design standards
- Work effectively in an agile development process
- Research cutting edge technology that can be applied to accelerate business growth
- Be the communication bridge be product owners and development teams
Hands -on experience with the following technologies is needed:
- Good Knowledge of Python & Django Framework.
- Experience in Git or any Version control systems.
- Experience in SQL Databases like MySQL and PostgreSQL.
- Knowledge of NoSQL Databases like Mongodb.
- Worked on Django based live projects.
- To implement microservices using Django rest framework.
- Handling various technical aspects like coding of modules using the given design specifications
- Debugging and fixing the defects as well as analyzing its root cause.
- Deployment(AWS) and monitoring of the live project.
- Mentoring junior developers.
Knowledge/Experience of AWS will be a big plus
Preferred Qualifications:
B-Tech-IT/B-Tech -CSE/BCA or any degree in the relevant field
Required Experience:
3 – 6 Years
Job description
Genext Students is looking for a dynamic candidate for driving our telesales process providing quality home tutors to interested parents.
Genext Students provides tutoring services to the students by connecting students with the desired tutors. Genext Students is India's first Tutor branding, aggregating and management platform.
Job profile will include:
- Reach out to the leads received from parents/students searching for private home tutors.
- Capture basic information from parents/students regarding class, subjects, area, budget etc.
- Record all captured information electronically
- Match the parent/student with the desired tutor and close the lead
- Take regular feedback from parents/students and tutors
- Attend calls from parents/students/tutors as and when required.
Desired Candidate Profile
Education: Any Graduate - Any Specialization
- A seasoned professional with composure, grace, elegance, sound business acumen, compelling execution and solid convincing skills.
- The candidate must be an accomplished deal-maker who won't take No for an answer.
- S/he should be a natural leader and must have demonstrated success in influencing the high-profile decision makers and high touch customers, finally leading them to close the deal.
Perks and Benefits
Attractive Incentives. Salary negotiable for the right candidate
