11+ ATPG Jobs in Bangalore (Bengaluru) | ATPG Job openings in Bangalore (Bengaluru)

1. Experience in JTAG, MBIST , Scan Compression, ATPG, Fault Simulation.
2. Experience with industry ATPG tools Synopsys Tetra MAX, Cadence Encounter Test or
3. Mentor Fast Scan ATPG tools Synopsys DFT scan insertion.
4. Experience with industry simulation tools such as VCS, ModelSim, NC Verilog etc.
5. Pattern Simulation with and without timing annotation & debugging

- Good understanding of NODE JS back-end development

- Strong understanding of Node.js and frameworks available for it

- Understanding of front-end technologies, such as React/Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.

- Good experience with AJAX, REST and JSON

- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.

- Must be a team player, having good communication skills, self-starter

- Ability to pick up new technology is needed.

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

Job Description-
1. To handle customers on their enquiries/complaints via multiple channels i.e. call/mail
2. To understand the product features for better problem solving
3. To keep records of customer interactions, transactions, comments, complaints
4. To coordinate with internal teams for solving any customer issues
5. To ensure customer satisfaction and provide empathetic experience to every user
6. To own every interaction with the customer and ensure every customer is a happy customer

Requirements-
1. Graduation is mandatory
2. 1+ years of experience in customer service function (e-com / hospitality industry preferred)
3. Excellent verbal and oral comms in English preferred

DESIRED SKILLS & EXPERIENCE : Must have experience of Marketing / Business development or Client generation in the Web application using PHP from the international market. Able to converse clearly and concisely over the phone. Proactive, dedicated and self-motivated attitude. Appears confident and assertive, but not aggressive in all internal/external dealings. Ability to work on own initiative. Should be target oriented and should be able to meet the targets well in time. A clear demonstration of an interest in Digital Internet technologies. ROLES & RESPONSIBILITIES : You will be responsible for identifying opportunities, evaluating its fit with the company vision, negotiating and closing deals. Responsible for Research & Generating Quality Leads for Web development by Outbound calls, Emails, creating required documents. Follow-up with Generated Leads. Experience in online bidding on portals like Freelancer, Upwork, Angellist, Guru etc., Experience in Proposal making & other documentation to win the bid. Must be a self-player and should be able to initiate & Close the deal without adding additional support. Achieve the assigned Sales target by Acquisition, Retention & Renewal. An input into the sales strategy - You will constantly keep upgrading your business development techniques.

Front End Developer About Intellicar Telematics Pvt Ltd Intellicar Telematics Private Limited is a vehicular telematics organization founded in 2015 with the vision of connecting businesses and customers to their vehicles in a meaningful way. We provide vehicle owners with the ability to connect and diagnose vehicles remotely in real-time. Our team consists of individuals with an in-depth knowledge and understanding in automotive engineering, driver analytics and information technology. By leveraging our expertise in the automotive domain, we have created solutions to reduce operational and maintenance costs of large fleets, and ensure safety at all times. Solutions: Enterprise Fleet Management, GPS Tracking Remote engine diagnostics, Driver behavior & training Technology Integration: GIS, GPS, GPRS, OBD, WEB, Accelerometer, RFID, On-board Storage. Intellicar’s team of accomplished automotive Engineers, hardware manufacturers, Software Developers and Data Scientists have developed the best solutions to track vehicles and drivers, and ensure optimum performance, utilization and safety at all times. We cater to the needs of our clients across various industries such as: Self drive cars, Taxi cab rentals, Taxi cab aggregators, Logistics, Driver training, Bike Rentals, Construction, ecommerce, armored trucks, Manufacturing, dealership and more. Job Responsibilities Develop new user-facing features Build reusable code and libraries for future use Ensure the technical feasibility of UI/UX designs Optimize application for maximum speed and scalability Assure that all user input is validated before submitting to back-end Collaborate with other team members and stakeholders Skills and Qualifications Proficient understanding of client-side scripting and JavaScript frameworks, including AngularJS (Mandatory skill), BackboneJS, node.js, bootstrap. Google Material Design, Google API, Google Maps. REST API and REST API frameworks Proficient understanding of web markup, including HTML5, CSS3 Knowledge of Interactions with Relational Databases, MQTT pipelines, NoSQL and other Distributed Databases Should be a self-learner and fast executer. BE/B.Tech, ME/M.Tech or equivalent qualification desired.

Rang De is a pioneering social initiative which provides cost-effective credit to low income households in India. • Brand Management o Understand and own the branding elements and drive proper usage o Manage consistency of the brand across touchpoints • Brand Partnerships o Identify and ideate on relevant partnerships for the brand o Create and execute co-branding campaigns o Build strategic relationships and partner with key industry players, agencies and vendors • BTL Marketing o Assist in planning of all below the line activities for the brand o Lead execution of concept development, design and final output for BTL elements and events o Deploy successful marketing campaigns and own their implementation from ideation to execution • Others o Measure and report performance of marketing campaigns, gain insight and assess against goals Requirements • Demonstrable experience in marketing along with the potential and attitude required to learn • Numerically literate, comfortable working with numbers, making sense of metrics and processing figures with spreadsheets • Good taste, a sense of aesthetics and a love for great copy and witty communication What you will need to succeed • Be passionate about marketing and communication; more importantly you realize the power of marketing in building relationships and trust • Have the ability to think on your feet and work in a dynamic work environment