Job Description
The Senior Software Engineer will play a key role in the design and development of key initiatives within the Experian Automotives domain. Experian Automotives team is one of the fastest growing areas with Experian and we are looking for a strong Software Engineer who thrives in a fast-moving environment. The candidate will work very closely with product owners, architects, and engineering teams to deliver high quality, scalable, cloud-based technology solutions.
Key Responsibilities and skillset:
- Design, Development and Testing of key programs within Automotives Engineering team
- Development of technical solutions that are built for quality, scale and performance.
- Collaborate with the business, product management and PMO on product roadmaps and quarterly planning sessions.
- Participate in code and design reviews to minimize rework and catch issues early in the process.
- Ensure stable Production operations with focus on uptime, performance and reliability.
- Work efficiently as a part of a global team of engineers ensuring effective collaboration, communication, and delivery.
- Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and frameworks – Tensorflow , NLP ,PyTorch.
- Hands on experience on multiple data structures – Unstructured, Semi-structured and Structured data sets.
- Experience with GenAI – Transform based models (BERT, GPT) , prompt engineering, embeddings, LLM models, ChatBots, agent architectures and vector databases.
- Eager to research and experiment with new technologies, proving and prioritizing business objectives to reach production-ready outcomes (MLFlow, data visualization, presentation skills).
- Expertise in classical and modern ML algorithms (e.g., Logistic Regression, Random Forest, BERT, LSTM).
- Good to have Statistical Modelling of data, Big data -Pyspark.
Qualifications
Knowledge, Experience & Qualifications
- Bachelors, Computer Science or related field preferred or equivalent amount of experience, knowledge, and skills.
- 6 to 8 years of software development experience in designing and building Python applications with LLM Model integration.
- Strong experience with AWS (preferred AWS certification)
- Strong experience with AWS technologies such as DynamoDB, S3 and Lambda server less technology
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