Business Development Intern

Responsibilities

• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.

• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.

• Model Fine-Tuning and Transfer Learning:

Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.

• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.

• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).

• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.

• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes. 

Job Description:

Position: Senior Manager- Data Analytics (Fintech Firm)

Experience: 5-8 Years

Location: Mumbai-Andheri

Employment Type: Full-Time

About Us:

We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.

Job Overview:

We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.

Key Responsibilities:

• Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
• Build and maintain efficient data pipelines to support real-time and batch data processing.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize database performance and ensure data integrity and security.
• Troubleshoot and resolve data-related issues and provide support for data operations.
• Implement data quality checks and monitor data pipeline performance.
• Document technical solutions and processes for future reference.

Required Skills and Qualifications:

• Bachelor's degree in Engineering, or a related field.
• 3-5 years of experience in data engineering or a related role.
• Strong proficiency in ETL tools and techniques.
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with big data technologies
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of data warehousing concepts and tools 
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning and data science principles.
• Experience with real-time data processing and streaming platforms (e.g., Kafka).

What We Offer:

• Competitive compensation package (10-15 LPA) based on experience and qualifications.
• Opportunity to work with a talented and innovative team in the fintech industry..
• Professional development and growth opportunities.

How to Apply:

If you are passionate about data engineering and eager to contribute to a forward-thinking fintech firm, we would love to hear from you.

• Interaction with the Clients, understanding their requirements, collating required data for preparation and submission of the proposal to Banks/ FI's
• In-depth credit assessment involving Financial, Credit, Legal, Technical, Economic and risk analysis
• Structuring the proposal, preparing Information Memorandum, Teasers, Financial model, cash flow and CMA projections
• Ability to lead meetings and negotiations
• Solution-oriented attitude and resolving queries of all Banks and Clients
• Visiting clients office for understanding and collecting data

• Design, develop, implement, test and support new Sitecore 8.2 features defined by business project team.
• Participate in discussions with product owner to refine requirements.
• Work with the rest of the development team, helping where appropriate

• Certified senior or semi-senior Sitecore developer with 4+ years Supporting and Developing Sitecore solutions (must have)
• Senior or semi-senior MVC C# developer (must have)
• 4+ years experience with front end development: javascript, css, HTML. (must have) • Experience with personalization features and xDB with MongoDB (nice to have) • Familiar with secure coding practices - how to prevent SQL injections, Encrypted traffic, etc

Responsibilities :

• Design, build, and maintain high performance, reusable, and reliable code

• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Skills :

• Should have 2 - 4+ years of experience in Java
• Hands on experience in designing and building Java application using various frameworks is must
• Experience in Spring, Spring cloud and Spring Boot
• Experience in Angular,SQL,GIT.
• Experience in Maven and Gradle
• Should Possess good knowledge in creating test plans and test strategies.
• Knowledge of implementing various testing methodologies, test automation tools
• Designing and documenting detailed test cases to cover all levels of tests
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly

Education:

• Bachelor's (Required)

Experience:

• total work: 2 -4 years (Required)

Job Types: Full-time, Permanent

Salary: ₹60,000.00 - ₹100,000.00 per month

Mandatory Skill set:

• Multiple solution stack development experience along with MEAN(Mongo, Express, Angular and Node)

• Python with any web framework

• Micro Services, Performance Engineering, Docker, Kubernetes, AZURE, CI/CD pipeline, , MySQL and Database design

Job Role:

• Responsible for component selection, design standardization, common library building.

• Build services and templates based on published standard (RFC type)Build coding templates and architypes adhering to design standard.

• Understand NFR and define architecture, design and validation for each NFR element.

• Design data model, service contract and document framework.Define and ensure coding standards

• Define and ensure UI standards are followed. Design micro services, security, deployment Well-versed in module level effort estimationWell-versed in application integration patterns Exposure to bug fixing, maintenance, continuous integration releases.

• Exposure to building architectural view like logical, physical and deployment.Exposure to performance bottleneck, RCA and remediation.Exposure to security issues, RCA and remediation.

Process Exposure:

• Able to interact with team, stakeholders and architects. Understand functional requirements and create design documents for features.

• Participate in sprint planning and story elaboration sessions.

• Candidate should be able to work independently in an Agile project.

• Experience with Test-Driven Development, Integration testing and Agile processes.Code review from a standard and design adherence perspective.

• Spend most of your time developing brand new software in Python
• Build out a secure data replication infrastructure to replicate transactional data across a hierarchical system
• Build out APIs for supporting a fleet of 20k devices
• Build out a configurable data analytics and reporting framework
• Build out real time dashboards for getting a high level and deep dive view of the overall system
• Be responsible for independently designing and building out modules of the overall system
• Work with a team of smart peers and take ownership of the resulting system
• Push yourselves, create impact, learn and grow as an engineer