
- Security Engineer (experience 5 to 7 years)
• Experience in managing and administering Zscalar DLP
o Primary responsibility is to manage Data Loss Prevention solution who has experience in analyzing the DLP logs, defining relevant policies, understanding data exfiltration techniques, etc)
• Solution: Zscalar
• Location: Mumbai

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Integrations SME
- 5 - 7 years of IT experience relevant to this position.
- Mandatory Skills:
- Experience in Development of Integrations using OIC for the Oracle Fusion Modules like Financials / SCM / HCM
- Good hands-on experience in monitoring and debugging of OIC integration and migration of OIC components.
- Excellent client interfacing skills / working with IT as well as business stakeholders and writing technical design documents.
- Should be able to review the requirements and design with business and also provide estimates for various enhancements on integrations
- Hands-on experience in data migration/integration methods SOAP and Rest web services, FBDI, BIP, and HDL.
- Hands-on analysis, design, testing, implementation, and post-implementation experience.
- Good to Have:
- Should have excellent skills in Webservice technologies such as XML / XPATH / XSLT / SOAP / WSDL / XSD / JSON and REST Technologies
- Must have implemented integrations using web service and technology adapters like FTP / File / SOAP / REST / DB
- Hands on Experience on Encryption and Decryption in FTP
- Hands on experience on Mulesoft, Dell Boomi and SOA
- 2+ years of experience in customer support, preferably within the cryptocurrency or fintech industry.
- Strong communication skills (both verbal and written) with a customer-first approach.
- Ability to troubleshoot and resolve issues efficiently and professionally.
- Proficiency in using support software, CRM tools, and ticketing systems.
- Strong problem-solving skills and attention to detail.
- Ability to work in a fast-paced environment and handle multiple tasks simultaneously.
- Flexibility to work in rotational night shifts as required.
Looking for candidates from anywhere in South India who can relocate to Bangalore after Covid end.
MANDATORY TECHNICAL SKILLS
SSRS, PowerBI, SQL Server 2008/2012, TSQL, Stored Procedures, Views, UDF’s, Triggers, Charts
EXPERIENCE
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7+ years professional experience in database development using SQL Server 2008/2012(T-SQL, SSRS)
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Strong analytical and critical thinking skills, with the ability to analyze business requirements to determine
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processing flow, user requirements and inter-dependencies of multiple information systems.
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Experience with SDLC required
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Excellent verbal and written communication skills.
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Strong in performance tuning especially tuning complex queries, procedures and indexing strategies
Should have aldready worked as Lead and mentored and managed Junior Team Members
4Yrs + on MEAN Stack or if total Experience more than 6Yrs; 3years + Could be MEAN
Worked in Product Based COmpanies
Deisgn,Develop, Debug ,Deploy! All Individually
Micro Service Architecture
Experience in FIn-tech/Finance based companies are a plus!
AWS,Google CLoud & SOcket Programming
Worked on Angular 4+ (5,6,7,8)


Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.


Company Introduction
AutoScheduler is looking for a remote senior software developer to join our talented team. The ideal candidate is a self-starter who is interested in constant learning. We want this person to join our dynamic team as we take an established software and re-develop it from scratch as a part of a new start up.
Job Description
We are looking for a Backend C++ developer responsible for maintaining and developing algorithmic C++ for new and existing customers. Your primary responsibilities will be to design and develop applications and services, and to coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, robust design, and quality product is essential.
Responsibilities
- Work with non-technical personnel to translate business requirements into stories and epics
- Translate application storyboards and use cases into functional applications / features
- Design, build, and maintain efficient, reusable, and reliable code
- Ensure the best possible performance, quality, and responsiveness of applications
- Identify bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and automation
- Write and maintain unit/functional/integration tests
Requirements
- Bachelor’s degree with STEM concentration + 2 years’ work experience, or equivalent work experience
- Fluent in English
- Demonstrably proficient in C/C++ and the ability to parse C/C++ code
- Proficiency in Node.js and Javascript
- Basic understanding of Common Language Runtime (CLR), its limitations, weaknesses, and workarounds
- Working knowledge of at least two other programming languages (e.g. Go and Python)
- Proficient understanding of modern distributed code versioning tools (like ‘git’)
- Thorough understanding of SQL, and in-depth experience with at least one RDBMS (e.g. PostgreSQL or Microsoft SQL Server)
- Experience with automated testing frameworks and unit tests
- Solid understanding of object-oriented programming and principles
- Knowledge of functional programming principals / concepts
Desired Skills
- Experience building applications with C++
- Experience building cross-platform applications with Scala
- Experience with functional programming
- Familiarity with concurrency patterns in Scala
- Experience building distributed systems and/or decoupled microservices
- Experience building software using cloud-based services (in any cloud platform)
- Experience using “gRPC” and Protocol Buffers (“protobuf”) and/or experience creating services that exchange non-JSON data over non-HTTP protocols
- Familiarity with continuous integration
- Familiarity with Docker / containerization




