Sr Data Scientist AIML Engineer
Sr Data Scientist AIML Engineer
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4-5years
3500000 - 3500000
1 Vacancy
Job Description
We are seeking an experienced AI Engineer to spearhead the design development and implementation of AIdriven solutions across various projects. The role involves working with advanced algorithms developing scalable AI models and driving automation initiatives. In addition to creating AI solutions that automate test case generation from Business Requirement Documents (BRDs) the candidate will contribute to diverse AI projects including NLP predictive modelling and decisionmaking systems. A strong understanding of AI algorithms and experience with crosscloud solutions is essential for this role.
- Lead the development of AI/ML models and solutions tailored to business needs across multiple domains.
- Apply wellknown algorithms (e.g. decision trees neural networks reinforcement learning clustering and NLP techniques) to various business problems.
- Develop solutions that analyze BRDs and generate detailed test scenarios/test cases including edge cases and negative testing.
- Collaborate on AIdriven projects across different verticals such as predictive analytics optimization fraud detection and personalized recommendations.
- Extract functional and nonfunctional requirements from BRDs and apply insights to AI solutions and testing processes.
- Design and implement comprehensive testing strategies including automated testing solutions.
- Develop and deploy AI solutions across multiple cloud platforms (AWS GCP Azure) as required.
- Work closely with stakeholders across teams to align AI solutions with project goals.
- Research and implement cuttingedge AI technologies and techniques to enhance the AI capabilities within the organization.
- Leverage test automation and other development tools to enhance workflows and optimize processes.
- Mentor junior engineers lead AI development teams and ensure best practices are followed.
Requirements
- Expertise in building AI models using frameworks like TensorFlow PyTorch AWS SageMaker or similar tools.
- Deep understanding of wellknown AI/ML algorithms such as Supervised and unsupervised leaning deep learning NLP algorithms and reinforcement learning.
- Experience in automating test case generation from BRDs and defining test strategies.
- Strong experience with AWS services (e.g. SageMaker Lambda S3) and crosscloud environments
- Experience in ETL data processing and working with large datasets (e.g. structured/unstructured data).
- Experience with test automation tools like Selenium TestNG or similar.
- Proficiency with continuous integration/continuous deployment (CI/CD) and tools like Jenkins Docker Kubernetes
2+ years of experience implementing data management solutions Strong experience in Snowflake, AWS, and SQL. Experience in complex data transformation in DBT. Experienced with Snowflake DWH/ELT implementation, and Python/Java Scripts. Hands-on work on most common transformations like lookup, fuzzy, conditional splits, etc., checkpointing, logging, etc. Experience with data validation, data cleansing, and data reconciliation process
Employment Type
Full Time
