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· Design, Develop, and Implement Integration solutions using Oracle Integration cloud (OIC) to connect various applications, Systems, and Services
· Customize and configure OIC adapters, connectors, and Components to meet specific integration requirements.
· Develop RESTful and SOAP Webservices for data exchange and communication between different systems.
· Good Knowledge in Cloud technologies (Lamda function in AWS etc for integration with AWS)
· Collaborate with Business analysists and stakeholders to gather requirements and define integration workflows and data flows.
· Perform troubleshooting, debugging and performance tuning of integration solutions to ensure optimal performance and reliability.
· Develop and maintain documentation for integration processes, interfaces and configurations.
· Perform Code reviews .
· Ensure adherence to coding standards , development methodologies and security protocols throughout the software development lifecycle.
Personnel Specification
Education: Bachelor’s degree in computer science, Information Technology or related field
Experience:
• 5 or more years of experience in IT industry.
• Experience in Cloud based integration Platform.
Skills and Abilities:
· Proven experience in designing, developing, and implementing integration solutions using OIC
· Strong understanding of RESTful and SOAP web services, JSON, and other data formats.
· Experience in cloud based integration platforms, writing Lamda function and creating integrations with various channels.
· Strong Knowledge in OIC API Integration.
· strong understanding on SOAP based services and Rest bases services.
· Strong development skills in JAVA
· Strong knowledge on Authentication methodologies to be followed during the integration platforms.
· Strong Knowledge in OIC GEN2 and GEN3

Key Responsibilities
- Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
- Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
- Perform data wrangling, cleansing, and transformation using Python and SQL
- Collaborate with data scientists to integrate Generative AI models into analytics workflows
- Build dashboards and reports to visualize insights using tools like Power BI or Tableau
- Ensure data quality, governance, and security across all data assets
- Optimize performance of data pipelines and troubleshoot bottlenecks
- Work closely with stakeholders to understand data requirements and deliver actionable insights
🧪 Required Skills
Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker
📚 Qualifications
- Bachelor's or Master’s degree in Computer Science, Data Science, or related field
- 3+ years of experience in data engineering or data analytics
- Hands-on experience with Databricks, PySpark, and AWS
- Familiarity with Generative AI tools and frameworks is a strong plus
- Strong problem-solving and communication skills
🌟 Preferred Traits
- Analytical mindset with attention to detail
- Passion for data and emerging technologies
- Ability to work independently and in cross-functional teams
- Eagerness to learn and adapt in a fast-paced environment

Job Description:
As a Machine Learning Engineer, you will:
- Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
- Work closely with data scientists to optimize machine learning model performance.
- Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
- Collaborate with cross-functional teams to integrate AI models into products and services.
Responsibilities:
- Develop and deploy scalable machine learning models into production environments.
- Optimize models for performance and scalability.
- Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
- Monitor and maintain model performance in production.
Key Performance Indicators (KPI) For Role:
- Success in deploying scalable and efficient AI models into production.
- Improvement in model performance and scalability post-deployment.
- Efficiency in model deployment and maintenance processes.
- Positive feedback from team members and stakeholders on AI model integration and performance.
- Adherence to best practices in machine learning engineering and deployment.
Prior Experience Required:
- 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
- Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
- Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
- Demonstrated ability to optimize machine learning models for performance and scalability.
- Familiarity with machine learning lifecycle management tools and practices.
- Experience in developing and maintaining scalable and robust AI systems.
- Knowledge of best practices in AI model testing, versioning, and deployment.
- Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
Employer:
RaptorX.ai
Location:
Hyderabad
Collaboration:
The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.
Salary:
Competitive, based on experience.
Education:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Language Skills:
- Strong command of Business English, both verbal and written, is required.
Other Skills Required:
- Strong analytical and problem-solving skills.
- Proficiency in code versioning tools, such as Git.
- Ability to work in a fast-paced and evolving environment.
- Excellent teamwork and communication skills.
- Familiarity with agile development methodologies.
- Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.
Other Requirements:
- Proven track record of successfully deploying machine learning models into production.
- Ability to manage multiple projects simultaneously and meet deadlines.
- A portfolio showcasing successful AI/ML projects.
Founders and Leadership
RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.
We bring not just technical excellence, but also a relentless passion for innovation and impact.
The Market Opportunity
Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:
- Fintech and Banking
- E-commerce
- Payments
This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.
The Tech Space at RaptorX
We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.
Why You Should Join Us
- Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
- Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
- Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
- Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

Experience: 5-10 years experience
Location: Bangalore
Required Skills and Experience:
- 5-10 years of experience in front-end development, with a strong focus on React.js.
- Proven experience with React.js and related technologies (e.g., Redux, React Router, Hooks, Context API).
- Strong proficiency in JavaScript, HTML5, CSS3, and modern front-end build tools (e.g., Webpack, Babel, etc.).
- Hands-on experience with RESTful APIs, Server Sent Events, WebSockets
- Hand’s on experience with web components, microfrontends
- Deep understanding of browser apis like history, intersectionobserver, event handling, virtual panes, drag and drop etc
- Ability to work on a complex and fast moving code base.
- Familiarity with TypeScript and its integration with React applications.
- Strong problem-solving skills and attention to detail.


Skill 1 : Java, Spring boot, Microservices and React.
Exp : 3+
Location : Hyderabad and Chennai.
Notice Period : Immediate to 30 days.

Designation: Principal Data Engineer
Experience: Experienced
Position Type: Full Time Position
Location: Hyderabad
Office Timings: 9AM to 6PM
Compensation: As Per Industry standards
About Monarch:
At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world.
Description:
Monarch Tractor likes to invite an experience Python data engineer to lead our internal data engineering team in India. This is a unique opportunity to work on computer vision AI data pipelines for electric tractors. You will be dealing with data from a farm environment like videos, images, tractor logs, GPS coordinates and map polygons. You will be responsible for collecting data for research and development. For example, this includes setting up ETL data pipelines to extract data from tractors, loading these data into the cloud and recording AI training results.
This role includes, but not limited to, the following tasks:
● Lead data engineering team
● Own and contribute to more than 50% of the data engineering code base
● Scope out new project requirements
● Costing data pipeline solutions
● Create data engineering tooling
● Design custom data structures for efficient processing of data
Data engineering skills we are looking for:
● Able to work with large amounts of text log data, image data, and video data
● Fluently use AWS cloud solutions like S3, Lambda, and EC2
● Able to work with data from Robot Operating System
Required Experience:
● 3 to 5 years of experience using Python
● 3 to 5 years of experience using PostgreSQL
● 3 to 5 years of experience using AWS EC2, S3, Lambda
● 3 to 5 years of experience using Ubuntu OS or WSL
Good to have experience:
● Ray
● Robot Operating System
What you will get:
At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health, dental and vision benefits, and company equity commensurate with the role you’ll play in our success.
Job Summary:
The Department of Computer Science at Ace Engineering College is seeking qualified candidates for a faculty position in Computer Science at the Assistant Professor level. The successful candidate will be expected to engage in high-quality teaching, research, and service activities within the department and contribute to the academic community.
Responsibilities:
- As a faculty member of ACE, you will be responsible for the success of the students in your cohort. Therefore, you will be expected to understand the strengths and weaknesses of your cohort and adjust the pace of teaching accordingly.
- Timely delivery of lectures / conducting tutorials/training sessions by the program schedule
- Need to take the classes based on the schedule and should involve in all the academic operations.(Labs, Exams, Question paper creation).
- Provide mentorship and guidance to students, fostering a positive and inclusive learning environment.
- Contribute to curriculum development and enhancement of educational programs.
- Serve on departmental and university committees.
- Contribute to the academic and professional community through participation in conferences, workshops, and seminars.
- Provide academic advising and support to students.
- Engage in outreach activities to promote computer science education and awareness.
Qualification -
B. Tech - CSE, M. Tech - CSE (both are >60% Mandatory)
- Understanding business objectives and designing surveys to discover prospective customers preferences
- Perform a valid and reliable market research SWOT analysis
- Provide competitive analysis on various companys market offerings, identify market trends, pricing/business models, sales and methods of operation
- Collecting data on customers, competitors and marketplace and consolidating information into actionable items, reports, and presentations.
- Analyze and interpret data to identify patterns and solutions, including surveys and focus group transcripts
- Develop industry-specific, vertical-level nuances as the function matures
- Actively develop domain expertise, leveraging subject matter experts, and external sources
- Remain fully informed on market trends, other parties researches and implement best practices
- Managing existing clients, responding to them on calls, email and visits.
- Follow up on collections for overdue invoices
- Checking the internal orders, supply management and resolving quality issues if any
- Development of new business, filling new tenders and follow up on prospective Business
- Collecting market information
- Timely escalation of matters to top management for timely resolution.
- Submission of MIS Reports
- Responsible for collecting all in-scope business requirements
- Able to prioritize requirements and negotiate on deployment timeframes on behalf of the development team
- Ability to perform detailed analysis to ensure all aspects of the business requirement are understood
- Able to formalize business requirements, ready for two way communication business communications up and technical communications down
- Capable of managing all non-technical aspects of the new requirements
- Capable of working with the test team to develop/ review test scripts and profile of test data
- Able to produce ad-hoc SQL queries/ ad-hoc reports that can be used to monitor success of the new requirement by ensuring data is being created as it should
- Must have worked on medium to large size custom application development projects and has exposure to all phases of the SDLC
- Experience in Insurance Domain is a must
- Proficient in using Microsoft Office tools
- Get actively involved in various project phases
- Act as a key interface between users and development teams
- Technology Graduate: B.Sc IT, MSc IT / B.Tech, M.Tech/ BCA, MCA
Bench Sales Recruiter (Day Shift)
Hyderabad
Job Highlights
- 6-12 months of experience in Bench Sales is required
- Required Skills: Minimum of 6-12 months proven Bench sales (US Staffing) experience
- Experience working with US citizens, GC candidates,H1B,EAD and OPT preferred
- Knowledge of Corp-to-Corp,1099,W2 preferred
- 6-12 months of experience in Bench Sales is required.
- Marketing Bench Consultant (H1B,OPT,GC,US Citizen).
- Experience in marketing and the available Consultants.
- Regular interaction and identifying their needs and position them to projects accordingly.
- Proven successful sales record in the IT Staffing and Consulting Industry.
Required Skills:
- Minimum of 6-12 months proven Bench sales (US Staffing) experience.
- Excellence experienced with full cycle of Sales, submitting the consultants, confirming the best rates for consultants.
- Following up for interview schedules, closing the best deals.
- Ability to interact, develop Vendor network and get candidates placed in quick turnaround time.
- Experience working with US citizens, GC candidates, H1B, EAD and OPT preferred.
- Gathering requirements for consultants from Vendors of clients, Job portals and other networking techniques.
- Submitting the candidates for the suitable positions and following up regarding the rates and client interviews.
- Updating and maintaining the database for future requirements, generate daily reports and update them.
