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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

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

 Role Summary 

Looking for a skilled Full Stack Developer with expertise in Java Spring Boot and Angular/React to build and maintain scalable web applications.

 Key Responsibilities 

- Develop backend services using Java & Spring Boot

- Build responsive UIs with Angular/React

- Design and consume REST APIs & microservices

- Collaborate with cross-functional teams

- Ensure code quality, performance, and scalability

- Strong analytical skills to drive and clarify requirements with the client

 Required Skills 

- Strong experience in Java (Spring Boot)

- Proficiency in Angular and/or React

- Solid understanding of REST APIs & microservices

- Experience with SQL/NoSQL databases

- Knowledge of Git, CI/CD pipelines

 Good to Have 

- Cloud (AWS/Azure/GCP), Docker/Kubernetes

- Kafka/RabbitMQ, Agile methodologies

Data Integration Developer Role

Responsibilities:

§ As a Data Integration Developer/Sr Developer, be hands-on ETL/ELT data pipelines, Snowflake DWH, CI/CD deployment Pipelines and data-readiness(data quality) design, development, implementation and address code or data issues.

§ Experience in designing and implementing modern data pipelines for a variety of data sets which includes internal/external data sources, complex relationships, various data formats and high-volume.

§ Experience and understanding of ETL Job performance techniques, Exception handling,

Query performance tuning/optimizations and data loads meeting the runtime/schedule time SLAs both batch and real-time data uses cases.

§ Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions.

§ Demonstrate strong collaborative experience across regions (APAC,EMEA and NA) to come up with design standards, High level design solutions document, cross training and resource onboarding activities.

§ Good understanding of SDLC process, Governance clearance, Peer Code reviews, Unit Test Results, Code deployments, Code Security Scanning, Confluence Jira/Kanban stories.

§ Strong attention to detail during root cause analysis, SQL query debugging and defect issue resolution by working with multiple business/IT stakeholders.

Educational Qualifications:

BTech in Computer Science or other technical course of study required.

Experience:

§ A minimum of 4-10 years of experience into data integration/orchestration services, service architecture and providing data driven solutions for client requirements

§ Experience on Microsoft Azure cloud and Snowflake SQL, database query/performance tuning.

§ Experience with Qlik Replicate and Compose tools(Change Data Capture) tools is considered a plus

§ Strong Data warehousing Concepts, ETL tools such as Talend Cloud Data Integration tool is must

§ Exposure to the financial domain knowledge is considered a plus.

§ Cloud Managed Services such as source control code Github, MS Azure/Devops is considered a plus.

§ Prior experience with State Street and Charles River Development ( CRD) considered a plus.

§ Experience in tools such as Visio, PowerPoint, Excel.

§ Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus.

§ Strong SQL knowledge and debugging skills is a must.

Responsibilities

• Prepare Subcontract Agreement and Joint Venture Agreement and conclude the same in coordination with Manager.
• Managing manpower with respect to Quantity basis &Timely completion basis.
• Ensure the current market rate. (Analysis of particular work as per Quantity basis, Work description basis)
• Follow up Subcontractor's Performance Bonds and Tender Bonds
• Reviews Subcontractor's monthly invoice and prepare Subcontractor's Payment Certificates.
• Identify variation or change order and prepare valuation accounts.
• Assist the Purchasing Department and Site Project Manager in contractual matters related to procurement / supply contract and agreements.
• Reviewing the contract documents prior to tendering.
• Reviews and clarifies show drawings.
• Coordinate Project Close-Out Procedures including manuals, warranties and As-built drawings.

Relevant Experience:

• 3-5 years

Required Skills

• In-depth experience with Python and OO concepts

• Experience with using NumPy, Pandas, or similar AI/ML libraries

• Deep understanding of multi-process architecture and threading limitations of Python

• Expert knowledge of Python and related frameworks including Django and Flask.

• Experience in Machine Learning and Artificial Intelligence

• Good understanding of relational data modeling concepts and comfortable with SQL

• databases.

• Good understanding of AWS / Azure cloud

• Nice to have

• Experience / Exposure in Chat BOT or Voice BOT

• Experience in Lambda Function OR Azure Functions

• Exposure to Financial Domain

Additional Skillsets Desired:

• Ability to work with clients and key stakeholders to ensure requirements are met

• Strong problem-solving and debugging skills

• Passion to work in a start-up environment and readiness to dabble with challenging

• Ability to work in both a solo and team environment

• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.