Job Description

- Proficiency with Python (Pandas, NumPy), SQL, and Java.

- Experience with LLMs, LangChain, and Generative AI technologies.

- Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).

- Microservices, CI CD, ML

- Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.

- Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.

- Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.

- Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.

- Work in a team/ Independently.

- Excellent Written & Verbal Communication Skills

- Solid critical thinking and questioning skills.

- High degree of flexibility - willing to fill in the gaps rather than relying on others

- Strong communication skills, especially in presenting data insights.

- Flexibility, problem-solving, and a proactive approach in a fast-paced environment