11+ SERDES Jobs in Delhi, NCR and Gurgaon | SERDES Job openings in Delhi, NCR and Gurgaon

alog Circuit Design::

• The candidate should have B.Tech or M.Tech in Electronics/Electrical/VLSI Design Engineering
• The candidate should have relevant work experience of 7-16 years in Analog and SERDES IO IP design e.g. GPIOs, Thermal Sensor, PLL, ADC/DAC/ Voltage regulators/LDOs, AIB, HBMIO, DDR, HDMI/DP IO, MIPI IO etc.

About the Role:

We are seeking a talented Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

 Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

Job Responsibility:

• Manage digital advertising campaign activities: Setup, traffic, manage and optimize online ad campaigns, campaign modification as per request, campaign scheduling, targeting and monitoring its performance.
• Day to day campaign optimization by focusing on conversion and other performance metrics.
• Reporting of the campaign performance metrics on timely basis to various stakeholders.
• Sustaining present clients for further business opportunities.
• Shall take lead in achieving monthly delivery target on existing publishers
• Strategizing execution of different campaigns across various verticals.
• Interaction with agencies/ad networks to plan and run campaigns.

Job Requirements:

• Prior experience of managing CPL/CPI/CPR/CPT/CPS Campaign Delivery & Optimization in US/RU/CA/UK/UAE/SA/JP/KR preferred.
• Working knowledge of tracking platform (hasoffers, affise etc)
• Excellent English Communications skills – written & verbal.

We are currently seeking dedicated and enthusiastic female candidates for the position of Data Entry Operator at our office located in Chanakya Place, New Delhi. This is an excellent opportunity for freshers who have recently completed their education or are pursuing and are looking to gain experience in the field of data entry.

As a Data Entry Operator, your primary responsibility will be to accurately enter and update data into our database systems. Attention to detail and precision in data entry are crucial for this role to ensure the accuracy and integrity of the information.

Requirements:

*Only female candidates are eligible for this position.

*Freshers with 0 to 6 months of experience are encouraged to apply.

*Basic computer literacy and familiarity with data entry processes.

*Proficiency in typing and data entry speed with a high level of accuracy.

*Good communication skills, both written and verbal.

*Strong attention to detail and ability to maintain data confidentiality.

*Ability to work in a team environment and collaborate effectively.

Salary and Benefits:

The selected candidates will receive a basic pay scale ranging from ₹7,000 to ₹18,000 per month, based on their qualifications and performance.

Additionally, we offer a supportive work environment, opportunities for growth and learning.

If you are a motivated individual with a passion for data entry and a desire to kick-start your career in a dynamic organization, we encourage you to apply. To be considered for this position.

We appreciate your interest in joining our team.

Interested candidate can visit office address as mentioned below between 2pm - 5pm (Monday-Saturday)

Sincerely,

Team Web Infomatrix

B-68, 40 Feet Rd, Block D 1, Market, Chanakya Place, New Delhi, 110059

Data Scientist

Requirements

● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch

Optional Add-ons-

● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB

Android Developer

Ability to design and implement and maintain highly complex systems and
subsystems.
● Writing well-designed, testable and efficient code.
● Designing and developing advanced applications for the Android platform.
● Working as a part of a dynamic team to deliver winning products.
● Troubleshoot, debug and optimize existing applications
.
Requirements:
● Bachelor's degree in Computer Science, related technical field or equivalent
practical experience
● Strong logical and analytical skills
● Should be adaptable and fast learner
● Experience in computer science, data structures, algorithms and software design.
● Experience in Software Development and coding in any general purpose
programming language.
● Should have an interest in android development

Location: Noida

You will:

• Build services that serve millions of users
• Build for performance, reliability, and scalability
• Design easy-to-use APIs, systems, and tools
• Work with small teams of engineers, product, design, operation and other teams
• Lead projects, achieve goals, celebrate success with your teams

What you bring:

• 5+ years as individual contributor
• Strong background in Computer Science
• Strong technical expertise in robust and scalable server platform
• Helpful experiences include Java, Python, AWS, GCP, DevOps
• Leadership at bijnis is a service - you must be influential, patient, compassionate, able to prioritize, and able to inspire
• Ability to collaborate across multiple and cross functional teams
• Strategic mindset combined with pragmatic execution, and bias for action

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