Generative AI Data Engineering

? Job Description:

? This role is responsible for managing client expectations and strategizing with various stakeholders to meet customer requirements.

? Key Responsibilities:

? Data Science:

• ? Develop machine learning models to support recommendation systems and NLP projects .

• ? Provide actionable insights for product and service optimization.

? Data Engineering:

• ? Build and maintain scalable ETL pipelines and optimize data storage solutions (data lakes, columnar formats).

• ? Ensure data accuracy and reliability for analytics.

? Data Analysis & Insight Generation:

• ? Analyze complex datasets to uncover trends and patterns.

• ? Generate and present insights that drive strategic decisions and enhance client services.

? Stakeholder Collaboration:

• ? Work with product and service teams to understand data needs and translate them into technical solutions.

? Working Relationships:

• ? Reporting to: VP Business Growth

• ? External Stakeholders: Clients

? Skills/ Competencies Required:

? Technical Skills:

• ? Proficiency in 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) .

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

• ? Proficient understanding of data engineering concepts , including 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 quickly to a fast-paced, dynamic environment and learn new technologies.

? Soft Skills:

• ? Ability to work independently or in a team .

• ? Excellent written and verbal communication skills .

• ? Strong critical thinking and problem-solving abilities.

• ? High flexibility willing to take initiative and fill in gaps when needed.

• ? Strong presentation skills for communicating data insights effectively.

• ? Proactive approach in fast-paced environments .

? Academic Qualifications & Experience Required:

• ? Bachelor s Degree in Computer Science, Data Analytics, Engineering, or a related field .

• ? 3 to 5 years of experience in Data Science and Data Engineering .

• ? Strong critical thinking skills and ability to work autonomously .

• ? Proficient in key data engineering concepts such as data lakes, columnar formats, ETL tools, and BI tools .

• ? High motivation, strong work ethic, and personal initiative .

• ? Strong oral and written communication skills .