Description

Explore & Innovate: Dive into exploratory data analysis (EDA) and uncover the secrets hidden in customer data. Spearhead strategic research of new cutting-edge machine learning models.

Build & Optimize: Design solutions that align with the company’s core mission by fine-tuning machine learning and GenAI models.

Integrate & Deliver: Develop robust AI modules and ML pipelines that supercharge our backend architectures.

Collaborate & Create: Work hand-in-hand with customers and product teams to deliver excellent solutions that drive business value. Generate and test working hypotheses in unexplored territories.

Requirements

• 5+ years of experience in machine learning, working with tabular and text data.
• Track record of translating research projects into business impact.
• MSc or PhD in a related field—Stats/CS/Math/EE is an advantage.
• Experience with NLP, open-source LLMS, recommendation systems, and scalable classic ML (classifications and clustering), as well as similarity metrics.
• Excellent interpersonal skills and a strong collaborator.
• Solid applied statistics skills, such as descriptive statistics, distributions analysis, and statistical testing.

Proficient in Python:

• GenAI Magic: TensorFlow, PyTorch, Hugging Face Transformers, Sentence Transformers, OpenAI API.
• Next-Gen Tools: LangChain, LlamaIndex.
• Data Science Essentials: Pandas, Sklearn, NumPy, SciPy, Matplotlib.
• NLP Essentials: NLTK, SpaCy.
• MLOps & Automation: MLflow, Kubeflow.