GCP Data Scientist

What you’ll do:

• Analyze large and complex datasets to discover trends, patterns, and insights. Apply statistical methods and machine learning techniques to extract valuable information from data.
• Develop and implement machine learning algorithms and models for predictive and prescriptive analysis. Utilize deep learning techniques for complex data analysis tasks.
• Utilize Python programming language and libraries such as numpy and pandas to manipulate data, conduct analysis, and develop machine learning models.
• Identify relevant features and perform feature engineering to enhance the performance of machine learning models.
• Evaluate the performance of machine learning models using appropriate metrics. Fine-tune models for optimal results.
• Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand business requirements and provide data-driven solutions.
• Maintain detailed documentation of data analysis processes, algorithms, and models. Ensure that documentation is clear, concise, and accessible to relevant team members.

What you’ll need:

• Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc.
• Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment
• Hands-on experience with GCP services for ML & data science
• Experience with Vector Search and Hybrid Search techniques
• Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models
• Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy)
• Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation)
• Understanding of semantic vs lexical search paradigms
• Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost, LightGBM with LTR support)
• Should be proficient in SQL and BigQuery for analytics and feature generation
• Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark
• Should have experience deploying models and services using Vertex AI, Cloud Run, or Cloud Functions
• Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch) and blending with vector-based approaches
• Familiarity with Vertex AI Matching Engine for scalable vector retrieval
• Familiarity with TensorFlow Hub, Hugging Face, or other model repositories
• Experience with prompt engineering, context windowing, and embedding optimization for LLM-based systems
• Should understand how to build end-to-end ML pipelines for search and ranking applications
• Awareness of evaluation metrics for search relevance (e.g., precision@k, recall, nDCG, MRR)
• Should have exposure to CI/CD pipelines and model versioning practices

GCP Tools Experience:

ML & AI: Vertex AI, Vertex AI Matching Engine, AutoML, AI Platform

Storage: BigQuery, Cloud Storage, Firestore

Ingestion: Pub/Sub, Cloud Functions, Cloud Run

Search: Vector Databases (e.g., Matching Engine, Qdrant on GKE), Elasticsearch/OpenSearch

Compute: Cloud Run, Cloud Functions, Vertex Pipelines, Cloud Dataproc (Spark/PySpark)

CI/CD & IaC: GitLab/GitHub Actions

Life at Next:

At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth.

Perks of working with us:

• Clear objectives to ensure alignment with our mission, fostering your meaningful contribution.
• Abundant opportunities for engagement with customers, product managers, and leadership.
• You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions.
• Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory.
• Embrace continuous learning and upskilling opportunities through Nexversity.
• Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones.
• Embark on accelerated career paths to actualize your professional aspirations.

Who we are?

We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers.

Join our passionate team and tailor your growth with us!