. The ideal candidate will have a strong foundation in
Python
,
SQL
, and machine learning techniques, and will be responsible for designing, developing, and deploying data-driven solutions that drive business insights and innovation.
Key Accountabilities:
Assist in preparing and cleaning raw data for use in analytical models.
Support the design, development, and deployment of machine learning models using tools such as Vertex AI and Gemini.
Conduct exploratory data analysis and create visualizations to derive actionable business insights.
Work on experimentation and model training for projects such as:
Generative AI assistants and summarization
Lookalike audience models for targeting
Content recommendation engines
Natural language-driven chatbots Collaborate with data engineers and product managers to bring prototypes into production environments.
Help monitor and evaluate model performance and iterate based on feedback and results.
Continuously learn and explore new tools and frameworks within the Google Cloud ecosystem
Qualifications:
3 to 5 years of experience in a data science, analytics, or machine learning-related role.
+ Working knowledge of:
+ Python, SQL, and data manipulation libraries (e.g., Pandas, NumPy)
+ Google Cloud Platform (GCP) services (especially Vertex AI, BigQuery, Gemini)
+ Basic ML algorithms and data modeling techniques
+ Familiarity with machine learning concepts such as classification, clustering, regression, recommendation, and NLP.
+ Hands-on experience with any cloud-based ML or AI platform (Vertex AI preferred).
+ Knowledge of Generative AI and LLM-based applications is a strong advantage.
+ Degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
+ Strong analytical thinking and attention to detail.
+ Self-starter with the ability to work independently and with minimal guidance in a lean team environment.
+ Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
+ Comfortable working in a fast-paced and collaborative environment
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