NLP & Data Engineer - Risk Insights & Monitoring
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 strong 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 |
