Job Description:
Job Description:
This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, coding solutions, unit testing, and ensuring the solution can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces. Job expectations include an awareness of development and testing practices in the industry.
Mandatory In Office Policy - Three (3) Days a week
Responsibilities:
- Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
- Utilizes multiple architectural components (across data, application, business) in design and development of client requirements
- Performs Continuous Integration and Continuous Development (CI-CD) activities
- Contributes to story refinement and definition of requirements
- Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle
- Contributes to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause
- Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
Required Qualifications:
- 2+ years of experience as Data Scientist or related roles
- Bachelor’s degree in Computer Science, or a related technical field
- Deep understanding and some exposure to new Gen AI Open-source Models
- At least 2-3+ years programming experience in software development and Agile process
- At least 2-3+ years Python (or equivalent) programming experience to work with ML/NLP models.
- Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
- Experience in ML/NLP development pipelines of large data sets, both structured & unstructured
- At least 2 years’ experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
- Knowledge and hands-on experience working with OCR products
- Experience in working with Llamm 3.3+ Gen AI Model in the OpenShift Container Environment to extract calibrated data from documents and verify the information in the documents
Desired Qualifications:
- Master’s degree in Computer Science/Data Science, or a related technical field
- Collaborating with a diverse set of partners and stakeholders from various Line of Business.
- Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
- Critical thinker; ability to analyze problems and identify issues and provide solutions
- Ability to navigate the enterprise & data assets across multiple functions.
- Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment
- Excellent communication and Presentation skills
- Analytical abilities & great problem solving
- Client focused
Skills:
- Application Development
- Automation
- Collaboration
- DevOps Practices
- Solution Design
- Agile Practices
- Architecture
- Result Orientation
- Solution Delivery Process
- User Experience Design
- Analytical Thinking
- Data Management
- Risk Management
- Technical Strategy Development
- Test Engineering
1st shift (United States of America)