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Job Title : GoldenSource Technical Consultant

Experience : 7+ Years

Location : Pan India (Hybrid)

Notice Period : Immediate Joiners or Serving max. 10 to 15 Days

Interview Mode : Virtual

Job Description :

We are looking for a skilled GoldenSource Technical Consultant / Developer with extensive experience in implementing and customizing GoldenSource v8.x for financial institutions. The ideal candidate should possess strong technical knowledge of security reference data management and hands-on experience working with market data vendors.

Mandatory Skills :

GoldenSource v8.x, Security Master, Workflow & UI Development, Bloomberg/Reuters Integration, Oracle/PostgreSQL, JBoss/JMS.

Key Responsibilities :

• Lead and implement GoldenSource v8.x in financial services environments.
• Deep understanding of GoldenSource Security Master v8.x, including architecture and data model.
• Design and develop workflows, connectors, and UI components within GoldenSource.
• Manage and handle Security Reference Data effectively.
• Integrate with data vendors like Bloomberg, Reuters, etc.
• Understand and apply knowledge of financial instruments and capital markets.
• Work with RDBMS platforms such as Oracle or PostgreSQL.
• Collaborate using tools such as JIRA, Confluence, and middleware technologies like JBoss and JMS.

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Best all-round (clear + pulls experienced applicants):

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Shorter / cleaner:

• Senior Multiplayer Game Developer
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About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

• Oracle Integration Cloud (OIC) Development:
• Design, develop, and implement integration solutions using Oracle Integration Cloud (OIC).
• Build integrations between Oracle Cloud applications and on-premise or third-party applications.
• Create and maintain REST/SOAP-based web services and API calls for integration solutions.
• Implement process automation using OIC’s Process Automation capabilities.
• Monitor and manage integration flows to ensure optimal performance, security, and scalability.
• Platform-as-a-Service (PaaS) Expertise:
• Develop custom applications and solutions on Oracle PaaS (Java Cloud Service, Application Container Cloud, etc.).
• Deploy, manage, and support PaaS solutions for extending Oracle SaaS applications.
• Maintain cloud environments and ensure seamless integrations between PaaS solutions and Oracle applications.
• System Integration:
• Work with ERP systems like Oracle Fusion, EBS, and other third-party systems to build integrated solutions.
• Troubleshoot and resolve integration issues related to data flow, connectivity, and performance.
• Develop mappings, orchestration flows, and B2B/EDI integrations using the Oracle Integration Cloud.
• Stakeholder Collaboration:
• Collaborate with business analysts, functional teams, and IT teams to gather integration requirements and deliver effective solutions.
• Provide input into solution architecture and development strategies aligned with business needs.
• Document technical designs, configurations, and troubleshooting steps for future reference and team collaboration.
• Continuous Improvement:
• Stay updated with the latest Oracle Cloud and PaaS advancements, features, and best practices.
• Optimize integration processes to improve overall system efficiency, reduce errors, and ensure data integrity.
• Conduct performance tuning and optimize OIC flows for seamless data exchange between systems.

Required Skills & Qualifications:

• Education:
• Bachelor's Degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Experience:
• 5-10 years of hands-on experience in Oracle Integration Cloud (OIC) development and PaaS.
• Proven experience in developing and managing complex integrations between cloud and on-premise systems.
• Strong understanding of Oracle Cloud Applications (Fusion, HCM, ERP, etc.) and their integration requirements.
• Technical Skills:
• Expertise in Oracle Integration Cloud (OIC), Oracle SOA Suite, Oracle Cloud Infrastructure (OCI), and Oracle PaaS solutions.
• Hands-on experience with RESTful/SOAP web services, API development, JSON, XML, and XSLT.
• Proficiency with Oracle ERP, Oracle Fusion Middleware, Oracle Visual Builder, and related tools.
• Strong knowledge of cloud integration patterns, process orchestration, and B2B integrations.
• Familiarity with Oracle Autonomous Databases and Oracle SQL/PLSQL.
• Soft Skills:
• Excellent problem-solving skills with attention to detail.
• Strong communication and collaboration abilities across functional and technical teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Qualifications:

• Oracle Cloud certifications in OIC, SOA, or PaaS.
• Knowledge of DevOps practices and CI/CD pipelines for cloud deployment.
• Experience with cloud security best practices for PaaS and OIC.

• 8+ years of Data Engineering experience
• Strong SQL and Redshift experience
• CI/CD and orchestration experience using Bitbucket, Jenkins and Control-M
• Reporting experience preferably Tableau

• Location – Pune, Hyderabad, Bengaluru

Experience: 4+ years

We are looking for a NodeJS / full stack developer responsible for the development and maintenance of scalable backend applications. Your primary focus will be the development of NodeJS applications and their integration with frontend services like React Web App. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated design and the creation of quality products is essential.

• 3+ years of experience in Nodejs
• Having a good understanding & hands-On of AWS services like – IAM, Lambda, DynamoDB, ElasticCache, OpenSearch and AppSync 
• Integration of user-facing elements developed by front-end developers with server side logic
• Writing reusable, testable, and efficient code
• Strong proficiency with JavaScript.
• Knowledge of Node.js + Express and frameworks available for it.
• Experienced with NoSQL DB
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection

Roles and Responsibilities

1. Ability to work on diverse backend stack such as Node JS, Java, Express JS
2. Ability to work on diverse frontend stack such as React JS, Angular 6/7/8/9, HTML5, CSS3
3. Ability to deliver quick POC’s using cutting edge technologies.
4. Preparing reports, manuals and other documentation on the status, operation and maintenance of software.
5. Design, develop, and unit test applications in accordance with established standards
6. Developing, refining, and tuning integrations between applications. Analysing and resolving technical and application problems.
7. Ability to debug application.
8. Should have complete knowledge on developing RESTful Services.
9. Should be able to also work in agile development methodology.

Competency Requirements

1. Experience in NodeJS, Java and development using AngularJS / ReactJS
2. Experience in front end frameworks such as Angular.js, React.js, Bootstrap, Foundation etc
3. Experience in client/server application development
4. Knowledge of agile development methodologies
5. Knowledge of unit testing theory
6. Knowledge of AWS cloud
7. Experience in Java, Python and Go will be added advantage

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

Detailed job responsibilities:

• Serves customers by selling products/services as per customer needs.
• Services existing accounts, obtains orders, and establishes new accounts by planning and organizing daily work schedule to call on existing or potential sales outlets and other trade factors.
• Submits orders by referring to price lists and product literature.
• Keeps management informed by submitting activity and results reports, such as daily call reports, weekly work plans, and monthly and annual territory analyses.
• Monitors competition by gathering current marketplace information on pricing, products, new products, delivery schedules, and merchandising techniques.
• Recommends changes in products, service, and policy by evaluating results and competitive developments.
• Resolves customer complaints by investigating problems, developing solutions, preparing reports, and making recommendations to management.
• Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.
• Contributes to team effort by accomplishing related results as needed.