Number of Openings*

1

ECMS ID

Duration of contract*

6 months

Total Yrs. of Experience*

8 to 10

Relevant Yrs. of experience*

5 to 8

Detailed JD *(Roles and Responsibilities)

· Design and implement state-of-the-art NLP models, including but not limited to text classification, semantic search, sentiment analysis, named entity recognition, and summary generation.

· conduct data preprocessing, and feature engineering to improve model accuracy and performance.

· Stay updated with the latest developments in NLP and ML, and integrate cutting-edge techniques into our solutions.

· collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to align NLP projects with business objectives.

· deploy models into production environments and monitor their performance to ensure robustness and reliability.

· maintain comprehensive documentation of processes, models, and experiments, and report findings to stakeholders.

· implement and deliver high quality software solutions / components for the Credit Risk monitoring platform.

· leverage his/her expertise to mentor developers; review code and ensure adherence to standards.

· 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 our solutions by applying our digital principles and implementing both functional and non-functional requirements

· build observability into our solutions, monitor production health,



help to resolve incidents, and remediate the root cause of risks and issues

· understand, represent, and advocate for client needs

· share knowledge and expertise with colleagues , help with hiring, and contribute regularly to our engineering culture and internal communities.

· Expertise -

§ Bachelor of Engineering or equivalent.

§ Ideally 8-10Yrs years of experience in NLP based applications focused on Banking / Finance sector.

§ Preference for experience in financial data extraction and classification.

§ Interested in learning new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.

§ Proficiency in programming languages such as Python & Java. Experience with frameworks like TensorFlow, PyTorch, or Keras.

§ In-depth knowledge of NLP techniques and tools, including spaCy, NLTK, and Hugging Face.

§ Experience with data handling and processing tools like Pandas, NumPy, and SQL.

§ Prior experience in agentic AI, LLMs ,prompt engineering and generative AI is a plus.

§ Backend development and microservices using Java Spring Boot, J2EE,



REST for implementing projects with high SLA of data availability and data quality.

§ Experience of building cloud ready and migrating applications using Azure and understanding of the Azure Native Cloud services, software design and enterprise integration patterns.

§ Knowledge of SQL and PL/SQL (Oracle) and UNIX, writing queries, packages, working with joins, partitions, looking at execution plans, and tuning queries.

§ A real passion for and experience of Agile working practices, with a robust desire to work with baked in quality subject areas such as TDD, BDD, test automation and DevOps principles

§ Experience in Azure development including Databricks , Azure Services , ADLS etc.

§ Experience using DevOps toolsets like GitLab, Jenkins

§ Strong analytical and problem-solving skills with the ability to think critically and creatively.

§ Communication: Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders.

§ Takes ownership of tasks assigned to ultimate resolution.

§ Accuracy and timeliness of delivering solutions using the best IT standards and practices

Mandatory skills*

NLP, Python

Desired skills*

SQL, Azure

Domain*

Banking / Finance

Approx. vendor billing rate*

INR 16000/Day

Precise Work Location*

Kharadi, Pune

Background check process to be followed: *

As per client

Mode of Interview: Telephonic/Face to Face/Microsoft teams*

Telephonic / Microsoft teams Video

📌 NLP & Data Engineer - Risk Insights & Monitoring (Bengaluru)
🏢 Clifyx
📍 Bengaluru