Description
You will develop machine learning, NLP, and Generative AI solutions to address business needs using language and vision techniques.
Responsibilities
- Build LLM-based applications and high-quality prediction systems.
- Analyze and preprocess data to ensure quality and extract insights.
- Evaluate model performance using specific metrics and iterate to improve accuracy.
- Optimize algorithms and models to adapt to evolving requirements.
- Document methodologies and communicate findings to technical and non-technical stakeholders.
Required Skills
- 6+ years of experience in data science.
- Proficiency with Open Source LLMs, Langchain, and prompt engineering.
- Experience with Generative AI, including diffusion and language models.
- Strong NLP and text-based extraction skills.
- Deep understanding of ML algorithms like k-NN, Naive Bayes, SVM, and Decision Forests.
- Hands-on experience with TensorFlow, Keras, Scikit-Learn, or PyTorch.
- Expertise in NumPy, Pandas, and SQL.
- Applied statistics skills including distributions, statistical testing, and regression.
- Experience deploying and monitoring models in GCP or AWS environments.
- Knowledge of microservices architecture and API development.
- Bachelor’s degree in Computer Science.
Preferred Skills
- Experience with recommender systems, personalization, and segmentation.