We are looking for an experienced React JS Developer to join our development team with a minimum 6-8 years experience. In this role, you will be responsible for developing and maintaining responsive web applications, leveraging React and Redux for dynamic user interfaces. You will utilize tools like Ag-Grid for interactive data grids, and write robust, scalable code using TypeScript. This role requires strong collaboration with cross-functional teams to integrate user interfaces with server-side logic.

Key Responsibilities:

1. Develop and Maintain Web Applications:
   • Build responsive and scalable web applications using React.
   • Ensure optimal performance and responsiveness across devices.
2. State Management with Redux:
   • Implement efficient and maintainable state management through Redux.
3. Dynamic Data Grids:
   • Use Ag-Grid to create dynamic and interactive data grids within the application.
4. Code Quality:
   • Write clean, robust, and scalable code using TypeScript.
   • Ensure high code quality with proper documentation and testing.
5. Cross-functional Collaboration:
   • Work closely with cross-functional teams (design, backend, product) to integrate UI components with server-side logic.
6. Testing:
   • Write tests using React Testing Library and ensure proper test coverage for front-end components.

Required Skills and Qualifications:

1. Proficiency in:
   • React, Redux, Ag-Grid, and TypeScript.
   • Strong understanding of front-end development best practices, including component design, responsive design, and performance optimization.
2. Experience:
   • Hands-on experience in building and optimizing large-scale web applications.
   • Experience with React Testing Library for unit and integration testing.
3. Technical Skills:
   • Expertise in state management using Redux.
   • Familiarity with modern JavaScript (ES6+), TypeScript, and React Hooks.
4. Collaboration and Agile Environment:
   • Experience working in an agile environment and collaborating with cross-functional teams.
5. Problem-Solving:
   • Strong problem-solving and debugging skills, able to identify and fix issues promptly.
6. Communication Skills:
   • Excellent communication and teamwork skills, with the ability to work collaboratively across various teams.

Preferred Skill:

1. Experience with cloud platforms (e.g., AWS, Azure) for deploying web applications.
2. Knowledge of GraphQL or REST API integration.
3. Experience with CI/CD pipelines and version control (e.g., Git).

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We are seeking an experienced AI & Machine Learning Lead Engineer to lead the development, optimization, and deployment of advanced AI/ML solutions. The ideal candidate will be an expert in precision learning, large language models (LLMs), retrieval-augmented generation (RAG), natural language processing (NLP), and statistical analysis for output validation. This role requires leadership, a strategic mindset, and a strong technical background to align AI/ML initiatives with business goals.

Key Responsibilities:

1. Leadership & Strategy:
   • Lead and manage a team of AI/ML engineers and data scientists, providing technical mentorship and guidance.
   • Oversee the machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
   • Define and implement the AI/ML strategy, ensuring it aligns with business goals.
   • Collaborate with cross-functional teams, including data engineering, product management, and software development, to integrate AI/ML models into production.
2. Precision Learning & Large Language Models (LLMs):
   • Design and optimize precision learning algorithms for business applications.
   • Lead the development and deployment of large language models (LLMs) for text generation, summarization, translation, and conversational AI.
3. Retrieval-Augmented Generation (RAG):
   • Implement and optimize RAG systems to improve the accuracy and relevance of AI outputs.
   • Develop and fine-tune retrieval strategies to integrate knowledge bases with LLMs for contextually relevant responses.
4. Natural Language Processing (NLP):
   • Develop and implement NLP models for text classification, sentiment analysis, named entity recognition, summarization, and question-answering.
   • Apply the latest research in NLP to enhance model performance and efficiency.
5. Output Analysis through Statistical Methods:
   • Use statistical techniques such as A/B testing, hypothesis testing, and experimental design to analyze model outputs.
   • Ensure the reliability, accuracy, and explainability of model results.
6. Research & Development:
   • Stay updated with advancements in machine learning, deep learning, and AI.
   • Collaborate with academic institutions and research communities to contribute to open-source projects and publications.
7. MLOps & Model Deployment:
   • Work with DevOps and data engineering teams to implement MLOps practices for CI/CD pipelines, model monitoring, and governance.
   • Ensure scalable deployment of AI/ML models across cloud platforms (AWS, GCP, Azure) or on-premises environments.
8. Mentorship & Team Leadership:
   • Mentor and provide leadership to the AI/ML engineering team, fostering a culture of innovation and continuous learning.
   • Conduct regular code reviews and provide feedback to ensure adherence to best practices in AI/ML development.

Required Qualifications:

1. Experience:
   • 8-10 years of experience in AI/ML development, with significant expertise in NLP, LLMs, RAG, and precision learning.
2. Education:
   • Bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field; PhD is a plus.
3. Technical Expertise:
   • Proficiency in Python and frameworks like TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
   • Strong understanding of NLP techniques, including transformer models (e.g., BERT, GPT).
   • Experience with RAG systems, knowledge retrieval, and integrating LLMs with external data sources.
   • Statistical analysis and hypothesis testing expertise.
   • Experience in model deployment on cloud platforms (AWS, GCP, Azure).

Preferred Qualifications:

1. Cloud Services: Experience with AWS, GCP, Azure for scalable model deployment.
2. MLOps: Familiarity with MLOps practices, CI/CD pipelines, and model monitoring.
3. Advanced AI Techniques: Knowledge of reinforcement learning, meta-learning, and unsupervised learning.
4. Community Contributions: Strong publication record or contributions to open-source AI/ML projects.

We are seeking a Senior Python Developer to join our dynamic team at LatentBridge. In this role, you will work on cutting-edge projects that drive digital transformation within the enterprise space. As a Senior Python Developer, you will be responsible for designing and developing scalable Python applications and services, utilizing modern frameworks like FastAPI and Django to create efficient and reliable REST APIs. If you have expertise in Python development, SQLAlchemy, and a passion for building high-performance applications, we want to hear from you!

Key Responsibilities:

1. Design and Development:
   • Design, develop, and maintain scalable Python applications for high-impact projects.
   • Use FastAPI (preferred) or Django to build web applications and integrate with databases.
2. API Development:
   • Design, develop, and optimize REST APIs for seamless integration with other systems and services.
3. Database Management:
   • Work with SQLAlchemy ORM (preferred) or similar frameworks for database integration.
   • Ensure efficient and optimized interaction with PostgreSQL or MySQL databases.
4. Testing and Quality Assurance:
   • Implement and maintain unit tests using frameworks like pytest or unit test to ensure the quality and reliability of your code.
5. Collaboration and Integration:
   • Collaborate with cross-functional teams to integrate and optimize backend services.
   • Design and implement API security best practices to safeguard applications.

Mandatory Requirements:

1. Python Development Expertise:
   • 5+ years of strong experience in Python development.
2. Framework Expertise:
   • Expertise in FastAPI (preferred) or Django for building web applications and services.
3. ORM and Database Knowledge:
   • Solid experience with SQLAlchemy ORM (preferred) or similar frameworks for handling database operations.
   • Strong knowledge of PostgreSQL or MySQL databases.
4. Unit Testing Proficiency:
   • Proficiency in unit testing frameworks like pytest or unittest to ensure code quality and reliability.
5. REST API Development:
   • Hands-on experience in designing and developing scalable and secure REST APIs.

Preferred Skill:

1. DevOps Experience: Familiarity with DevOps practices, including CI/CD pipelines and automation.
2. Cloud Knowledge: Exposure to AWS or Azure cloud platforms.
3. Containerization: Familiarity with Docker (Containers/Images) for application containerization.
4. API Security: Understanding of API security best practices to ensure the protection of data and services.

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We are looking for an experienced Azure Data Solution Architect with expertise in AI & ML to join our team. The ideal candidate will have 12+ years of experience in the Banking & Finance domain, specializing in designing, building, and managing Data Marts, Data Warehouses, Data Lakes, and ensuring Data Quality. This role will also be a key contributor to the Pre-sales Team, assisting in proposal building and solution design

Key Responsibilities:

1. Architect and implement enterprise-grade data solutions on Microsoft Azure.
2. Design, develop, and optimize Data Marts, Data Warehouses, and Data Lakes to support analytics and AI-driven insights.
3. Implement and maintain data governance and data quality frameworks to ensure high-quality data.
4. Utilize AI & ML techniques to enhance data processing, predictive analytics, and decision-making models.
5. Lead end-to-end data architecture design, including ETL/ELT pipelines, data modelling, and storage strategies.
6. Work closely with business stakeholders, data engineers, and data scientists to understand business requirements and translate them into scalable solutions.
7. Contribute to Pre-sales activities, including proposal building, proof-of-concept (PoC) development, and solution demonstrations.
8. Ensure data security, compliance, and regulatory requirements are met, especially within Banking & Finance.
9. Stay updated on emerging trends in cloud data technologies, AI/ML, and financial data analytics..

Azure Data Platform Implementation:

1. Architect and manage solutions using Azure services, including:
   • Azure Synapse Analytics for Data Warehousing.
   • Azure Data Lake Storage (ADLS) for hierarchical and scalable storage.
   • Azure Data Factory (ADF) for ETL/ELT orchestration.
   • Azure Databricks for advanced analytics and big data processing.
   • Azure Stream Analytics for real-time data processing.
2. Implement Delta Lake for reliable and performant Data Lake solutions.

Data Quality & Governance:

1. Establish and enforce Data Quality frameworks to ensure completeness, consistency, accuracy, and timeliness of data.
2. Define Data Quality Metrics and implement automated validation workflows.
3. Leverage tools such as Azure Purview for data cataloguing, lineage tracking, and metadata management.
4. Drive compliance with data security and privacy standards (e.g., GDPR, CCPA).

System Integration:

1. Lead system integration projects to consolidate and migrate legacy data systems into the Azure platform.
2. Integrate data from various banking systems, including transactional, operational, and analytical sources.
3. Ensure seamless data exchange and interoperability across on-premises and cloud environments.

Performance Optimization:

1. Optimize Data Warehouse and Data Lake performance through partitioning, indexing, and caching.
2. Monitor and improve the performance of ETL/ELT pipelines and queries.
3. Implement cost-effective solutions using tiered storage and consumption-based pricing models.

Leadership & Collaboration:

1. Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
2. Provide technical leadership to development teams and ensure best practices are followed.
3. Mentor junior data engineers and architects within the team.

Required Skills and Qualifications:

Technical Expertise

1. 12+ years of experience in Data Architecture, AI & ML, and Data Engineering in the Banking & Finance domain.
2. Hands-on experience with Azure Data Services, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Power BI.
3. Strong expertise in SQL, Python, and Spark for data processing and analytics.
4. Experience with data governance, metadata management, and data quality best practices.
5. Proven track record in Pre-sales, proposal writing, and delivering client presentations.
6. Solid understanding of risk, compliance, and regulatory frameworks in the financial sector.
7. Strong problem-solving skills with the ability to work in a fast-paced environment.
8. Excellent communication and stakeholder management skills.

Preferred Qualifications:

1. Certification:
   • Microsoft Certified: Azure Data Engineer Associate.
   • Microsoft Certified: Azure Solutions Architect Expert.
   • Microsoft Certified: Data Analyst Associate.
2. Familiarity with machine learning models and Azure Machine Learning integration.
3. Knowledge of BI tools like Power BI and advanced DAX functions.
4. Experience with real-time data processing frameworks (Kafka, Event Hubs, etc.).
5. Familiarity with MLOps and deploying ML models in production

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