NLP & Data Engineer - Risk Insights & Monitoring
Engagement Type: Contract
Contract Duration: 6 Months
Domain: Banking / Finance
Number of Openings: 1
We are seeking a highly skilled and experienced NLP & Data Engineer to contribute to our Risk Insights & Monitoring platform within the Banking/Finance sector. The ideal candidate will have a strong background in designing, implementing, and deploying state-of-the-art NLP models, coupled with robust data engineering capabilities and a passion for building high-quality, scalable software solutions. You will play a crucial role in leveraging natural language processing to extract valuable insights from unstructured data.
Key Responsibilities:
- NLP Model Development & Implementation: Design and implement cutting-edge NLP models for tasks such as text classification, semantic search, sentiment analysis, named entity recognition (NER), and summary generation.
- Conduct thorough data preprocessing and feature engineering to enhance model accuracy and performance.
- Stay abreast of the latest developments in NLP and Machine Learning, integrating advanced techniques into our solutions.
- (Plus) Prior experience in agentic AI, Large Language Models (LLMs), prompt engineering, and generative AI.
- Data Engineering & Backend Development:Implement and deliver high-quality software solutions/components for the Credit Risk monitoring platform.
- Develop backend services and microservices using Java Spring Boot, J2EE, and REST APIs, ensuring high SLA for data availability and data quality.
- Proficiency in programming languages such as Python and Java, with experience in frameworks like TensorFlow, PyTorch, or Keras.
- Experience with data handling and processing tools like Pandas, NumPy, and SQL.
- Knowledge of SQL and PL/SQL (Oracle) and UNIX, including writing queries, packages, working with joins, partitions, looking at execution plans, and tuning queries.
- Cloud & DevOps:Experience building cloud-ready and migrating applications using Azure, with a strong understanding of Azure Native Cloud services, software design, and enterprise integration patterns.
- Experience using DevOps toolsets like GitLab and Jenkins.
- Build observability into solutions, monitor production health, assist in resolving incidents, and remediate the root cause of risks and issues.
- Strong desire to work with baked-in quality disciplines such as TDD (Test-Driven Development), BDD (Behavior-Driven Development), test automation, and DevOps principles.
- Collaboration & Mentoring:Collaborate closely with data scientists, software engineers, and product managers to align NLP projects with business objectives.
- Mentor developers, review code, and ensure adherence to best practices and standards.
- Share knowledge and expertise with colleagues, contribute to hiring, and actively participate in our engineering culture and internal communities.
- Quality & Compliance:Apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment.
- Ensure the quality, security, reliability, and compliance of solutions by applying digital principles and implementing both functional and non-functional requirements.
- Stakeholder Management:Understand, represent, and advocate for client needs.
- Take ownership of assigned tasks through to ultimate resolution.
- Ensure accuracy and timeliness of delivering solutions using the best IT standards and practices.
Expertise & Qualifications:
- Total Years of Experience: 8 to 10 years.
- Relevant Years of Experience: 5 to 8 years.
- Education: Bachelor of Engineering or equivalent.
- Domain Specific Experience: Ideally 8-10 years of experience in NLP-based applications focused on the Banking/Finance sector. Preference for experience in financial data extraction and classification.
- Mandatory Skills:NLP, Python.
- Desired Skills:SQL, Azure.
- Analytical & Communication: Strong analytical and problem-solving skills with the ability to think critically and creatively. Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Learning Agility: Interested in learning new technologies and practices, reusing strategic platforms and standards, evaluating options, and making decisions with long-term sustainability in mind.
- Agile Mindset: Passion for and experience with Agile working practices.
Additional Information:
- Approx. Vendor Billing Rate: INR 16,000 per day.
- Background Check: As per client policy.
