Generative AI Engineer
4 weeks ago
Job Description:
As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems.
Responsibilities:
- Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines.
- Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
- Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation.
- Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.
- Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research.
- Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations.
Qualifications:
- 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics.
- 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network.
- In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case.
- Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings.
- Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior.
- Proficiency in Python programming language for data analysis, machine learning, and web development.
- Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn.
- Experience with distributed computing frameworks such as PySpark and Dask.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate effectively with diverse clients/stakeholders.
Education Background:
- Bachelor’s in Computer Science, Statistics, Mathematics, or related field.
- Tier I/II candidates preferred.
Folks with shorter notice period to be preferred.
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