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*Oracle apps DBA with experience 3-5 years
*Production support experience with oracle 11g/12c,oracle'sRAC,RMAN,ASM as core DBA
*Experience with administration of oracle ebusiness suite 12.1.3 or other.
Major Responsibilities -
- Identify potential clients and opportunities across industries.
- Build and maintain a strong sales pipeline through outreach and follow-ups.
- Pitch Quawd’s services to prospective clients via calls, emails, and meetings.
- Collaborate with the strategy and creative team to develop proposals.
- Track sales performance and market insights to refine the business approach.
- Attend networking events and conferences to grow brand visibility.
Requirements -
- Bachelor’s degree in Business, Marketing or a related field.
- At least 1-3 years of experience.
- Excellent communication, persuasion, and relationship-building skills.
- Familiarity with digital/creative services is preferred.
- Self-motivated with a growth mindset.
Responsibilities:
• Help define and create Backend architecture and deployment using Python- Django-AWS in an agile environment with lots of ownership and active mentoring
• Work with the Product and Design teams to build new features to solve business problems and fill business needs
• Participate in code reviews to create robust and maintainable code
• Work in an agile environment where quick iterations and good feedback are a way of life
• Interact with other stakeholders for requirement, design discussions and for adoption of new features • Communicate and coordinate with our support and professional services teams to solve customer issues
• Help scale our platform as we expand our product across various markets and verticals globally
As a young, fresh startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise.
Brief write up on how you could be a great fit for the role :
What your days and weeks will include.
- Agile scrum meetings, as appropriate, to track and drive individual and team accountability.
- Ad hoc collaboration sessions to define and adopt standards and best practices.
- A weekly ½ hour team huddle to discuss initiatives across the entire team.
- A weekly ½ hour team training session focused on comprehension of our team delivery model
- Conduct technical troubleshooting, maintenance, and operational support for production code
- Code! Test! Code! Test!
The skills that make you a great fit.
- Minimum of 5 years to 10 Years of experience as Eagle Investment Accounting (BNY Mellon product) as a Domain expert/QA Tester.
- Expert level of knowledge in ‘Capital Markets’ or ‘Investment of financial services.
- Must be self-aware, resilient, possess strong communications skills, and can lead.
- Strong experience release testing in an agile model
- Strong experience preparing test plans, test cases, and test summary reports.
- Strong experience in execution of smoke and regression test cases
- Strong experience utilizing and managing large and complex data sets.
- Experience with SQL Server and Oracle desired
- Good to Have knowledge on DevOps delivery model including roles and technologies desired
The candidate should have good knowledge about the job role. Must have good writing skills. Communication skills are must.
Job Title: System Engineer
Responsibilities include, but are not limited to:
· Understand Mobile SoCs architecture across different Multimedia and Connectivity applications
· Evaluate Memory/Storage architecture on mobile platforms and develop architectures to improve
· Innovate new solutions to complex multi-disciplinary problems by collaborating with other team members
· Identify new mobile workloads that will define memory/storage usage in future products
· Evaluate and present architecture trade-offs impacting memory/storage subsystem performance and power
Successful candidates for this position will have the following:
· Bachelors/Master’s degree in Electronics and/or Computer Engineering or Computer Science or related field
· 4-8 years of work experience in the Mobile ecosystem
· Hands-on experience Power and Performance Analysis
· Good understanding of Mobile SOC system and Android system
· Good understanding and experience on system Benchmarking and multimedia applications
· Good understanding of the Storage subsystem with hands on experience on Host side drivers
Preferred Skills:
· Strong Mobile Platform SW and HW knowledge
· Strong working knowledge of DRAM, NAND, and other memory/storage devices
· Strong understanding of architecture in multimedia and connectivity use cases
· Experience in C++, Python, or other System programming language
About us:
Ufinity Ventures is a young and dynamic company that works with international clients. For the current opportunity, the candidate will work (Remotely) with our client (mentioned below).
Job Background:
The " DROOLS Expert -Developer to deliver DROOLS-based development" role is dedicatedly for the client and managed by Ufinity Ventures.
Job Description :
We require a hands-on developer to deliver DROOLS-based development for Regulatory Reporting. (DROOLS is an open source technology by JBoss used in the rules-based implementation. )
This developer should have current hands-on experience with Core Java, Generics, Collections, Concurrency, and Design Patterns; experience with testing frameworks (JUnit/TestNG/Fitness) and concepts (Test Driven Development, Regression, and Parametric testing); knowledge of various configuration /source code management tools (SVN, Maven, Git); and developing software in Agile environment.
Your profile:
- Ability to learn quickly, and independently in a fast-paced environment
- Excellent time-management, multi-tasking, and communication skills
- Superior analytical and problem-solving abilities
About our partner
Our partner is reinventing enterprise software through Agile Intelligence for the Enterprise – a fusion of data, artificial intelligence, and cloud technologies that provides unparalleled business value. Their multi-tiered enterprise offerings include the award-winning platform-as-a-service, ELEMENT™, which enables organizations to build enterprise AI applications at scale for any domain quickly and at a fraction of the cost of alternatives. Our partner and its global associates also provide industry-proven applications that are ready-made and fully customisable for rapid ROI. These offerings are generating billions of dollars in economic value through digital transformation at renowned global brands.
✓ Education: Graduate
✓ Inherent ability to have engaging conversations
✓ Excellent listening skills
✓ Excellent communications skills (English) and interpersonal skills
✓ Self-starter and ability to execute high velocity closures
✓ Ability to work in low supervision but high ownership environment
✓ Genuine interest in helping people succeed

Global internet of things connected solutions provider(H1)
- Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
- Build quick prototypes to check feasibility and value to the business.
- Design, training, and deploying neural networks for computer vision and machine learning-related problems.
- Perform various complex activities related to statistical/machine learning.
- Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
- Collaborate with technology teams to deploy the models to production.
Key Criteria:
- 2+ years of experience in solving complex business problems using machine learning.
- Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
- Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
- Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
- Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
- Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
- Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
- Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
- Experience in data visualization software such as Tableau, ELK, etc is a plus.
- Strong analytical, critical thinking, and problem-solving skills.
- B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
- Minimum 60% in Graduation or Post-Graduation
- Great interpersonal and communication skills


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