Key Responsibilities : Able to understand functional specs and Solution, Architect Design scalable ecommerce solutions on SAP Hybris platform -Knowledge of cart, checkout, promotion, pricing, search modules, Loyalty, Order Management and Hybris Data Hub integration-Experience in Spring, Hibernate and other JEE technologies frameworks -Troubleshooting and bug fixing issues -Should have developed application supporting high transaction volume -Understanding the current Hybris system implementation and Customization.
Technical Experience : More than 8 yrs of exp of building commerce applications of which min 5 yrs on SAP Hybris Commerce Hybris Core, Hybris eCommerce Exp in Hybris 6, Data Hub Integration of Hybris using OCC Web services with systems like SAP Hybris Marketing, C4C and Data Hub Knowledge of B2C and B2BJava JEE Spring C HTML, CSS and JavaScript, jQuery, Eclipse, Ant Maven, Version control SVN, GIT Implemented app using Security Performance and tuning guidelines CI/CD, RDBMS SQL, MySQL, SOAP, REST
Professional Attributes : Communication skills Must have at least 3 years of experience in Leading a 8-10 team member team Analytical skills Presentation skills and ability to work under pressure.
Educational Qualification : Technical Graduate or PG

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The Assistant Professor in CSE will teach undergraduate and graduate courses, conduct independent and collaborative research, mentor students, and contribute to departmental and institutional service.
● Experience using technologies Cypress, Cucumber, Appium, Maven, Log4J2, TestNG,
Junit.
● Should have experience/knowledge of JAVA, Javascript, Gherkin.
● Experience developing and executing manual and automated test suites.
Familiarity with the tools, concepts, and methodologies of quality management.
● Good Communication Skills.
Job Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Job Description:
We are seeking a skilled Quant Developer with strong programming expertise and an interest in financial markets. You will be responsible for designing, developing, and optimizing trading algorithms, analytics tools, and quantitative models. Prior experience with cryptocurrencies is a plus but not mandatory.
Key Responsibilities:
• Develop and implement high-performance trading algorithms and strategies.
• Collaborate with quantitative researchers to translate models into robust code.
• Optimize trading system performance and latency.
• Maintain and improve existing systems, ensuring reliability and scalability.
• Work with market data, conduct analysis, and support trading operations.
Required Skills:
• Strong proficiency in Python and/or C++.
• Solid understanding of data structures, algorithms, and object-oriented programming.
• Familiarity with financial markets or trading systems (experience in crypto is a bonus).
• Experience with distributed systems, databases, and performance optimization.
• Knowledge of numerical libraries (e.g., NumPy, pandas, Boost) and statistical analysis.
Preferred Qualifications:
• Experience in developing low-latency systems.
• Understanding of quantitative modeling and back testing frameworks.
• Familiarity with trading protocols (FIX, WebSocket, REST APIs).
• Interest or experience in cryptocurrencies and blockchain technologies.
About the job
Company Overview: Abracon is a leading global supplier of Timing, Power, and RF Components, dedicated to transforming ideas into innovative products that meet the challenges of tomorrow.
Position Summary: We are seeking a skilled Product Engineer to join our Global Support Team, focusing on our Power and Magnetic product line. This role involves supporting components vital for power and filtering circuitry, including RF and Power inductors, Common mode Chokes (CMC), Transformers, Ethernet magnetics, ferrite beads, Supercapacitors and other power management components.
Work Environment: The successful candidate will be positioned as a full-time employee at Abracon’s Center of Excellence located in Bangalore, India. The candidate will have the option to engage in a hybrid work-from-home arrangement.
Growth Opportunity:
Key Responsibilities:
Qualifications:
Come join our team! Excellence through teamwork drives the company culture at Abracon. We provide opportunities and support for your professional growth and empower each other in exercising our individual strengths.
With a broad portfolio of passive and electromechanical timing, synchronization, power, connectivity and RF antenna solutions and more, Abracon helps engineers transform their ideas into products that meet future customer needs. For more information about Abracon, visit www.abracon.com
Roles & Responsibilities
• Devise creative and engaging social media strategies following the design thinking process.
• Build user personas to create understanding and empathy with target audience.
• Manage the day-to-day handling of all social media channels such as LinkedIn, Facebook, Twitter, Instagram and YouTube.
• Craft engaging multimedia content across multiple social media platforms.
• Build key relationships with influencers across social media platforms.
• Manage social media communities by responding to social media posts and developing discussions.
• Monitor, track, analyze and report on performance on social media platforms using tools such as Google Analytics and Facebook insights.
• Research and assess the latest trends and techniques to find new and better ways of measuring social media activities.
• Analyze competitor activities.
• Set targets to increase brand awareness and customer engagement.
Key Skills:
Digital Marketing, Social Media Ads Campaign Management, Social Media Marketing (SMM), SEO, Marketing Strategy, Content Strategy, Search Engine Marketing (SEM), Content Marketing, MS Office
Hands on experience in:
- Deploying, managing, securing and patching enterprise applications on large scale in Cloud preferably AWS.
- Experience leading End-to-end DevOps projects with modern tools encompassing both Applications and Infrastructure
- AWS Code deploy, Code build, Jenkins, Sonarqube.
- Incident management and root cause analysis.
- Strong understanding of immutable infrastructure and infrastructure as code concepts. Participate in capacity planning and provisioning of new resources. Importing already deployed infra into IaaC.
- Utilizing AWS cloud services such as EC2, S3, IAM, Route53, RDS, VPC, NAT/IG Gateway, LAMBDA, Load Balancers, CloudWatch, API Gateway are some of them.
- AWS ECS managing multi cluster container environments (ECS with EC2 and Fargate with service discovery using Route53)
- Monitoring/analytics tools like Nagios/DataDog and logging tools like LogStash/SumoLogic
- Simple Notification Service (SNS)
- Version Control System: Git, Gitlab, Bitbucket
- Participate in Security Audit of Cloud Infrastructure.
- Exceptional documentation and communication skills.
- Ready to work in Shift
- Knowledge of Akamai is Plus.
- Microsoft Azure is Plus
- Adobe AEM is plus.
- AWS Certified DevOps Professional is plus

Primary Responsibilities
Overall leadership for all technical functions including product strategy implementation and server releases
Desired Candidate Profile
Experience: 5 years and above
Qualification: B. Tech from a reputed institute
Expertise in Core Java (Multithreading, Collections, etc.) and am comfortable with Unix, Oracle PL/SQL with a sound understanding of the complete SDLC process
Design Patterns, Algorithms, Data structures, OOP concepts & OO Design principles
Have done extensive work in software development
Project Management exposure is an added advantage for this candidate
JS, Jquery and CSS exposure of minimum 1.5 yrs
Candidates from gaming industry are preferred







