Urgent! data science, GCP, VERTEX AI, Python, ml Job Opening In India, India – Now Hiring ObjectWin Technology India Pvt. Ltd
<div>Experience Level 5 - 8 Years</div> <div> Data/Applied scientist (Search)</div> <div> Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc.</div> <div> Must have: Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment</div> <div> Must have: Hands-on experience with GCP services for ML & data science</div> <div> Must have: Experience with Vector Search , Hybrid Search techniques, Query preprocessing</div> <div> Must have: Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models</div> <div> Must have: Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy)</div> <div> Must have: Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation)</div> <div> Must have: Understanding of semantic vs lexical search paradigms</div> <div> Must have: Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost, LightGBM with LTR support)</div> <div> Should be proficient in SQL and BigQuery for analytics and feature generation</div> <div> Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark</div> <div> Should have experience deploying models and services using Vertex AI, Cloud Run, or Cloud Functions</div> <div> Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch) and blending with vector-based approaches</div> <div> Good to have: Familiarity with Vertex AI Matching Engine for scalable vector retrieval</div> <div> Good to have: Familiarity with TensorFlow Hub, Hugging Face, or other model repositories</div> <div> Good to have: Experience with prompt engineering, context windowing, and embedding optimization for LLM-based systems</div> <div> Should understand how to build end-to-end ML pipelines for search and ranking applications</div> <div> Must have: Awareness of evaluation metrics for search relevance (e.g., precision@k, recall, nDCG, MRR)</div> <div> Should have exposure to CI/CD pipelines and model versioning practices GCP Tools Experience: </div> <div>ML & AI: Vertex AI, Vertex AI Matching Engine, AutoML, AI Platform</div> <div>Storage: BigQuery, Cloud Storage, Firestore Ingestion: Pub/Sub, Cloud Functions, Cloud Run </div> <div>Search: Vector Databases (e.g., Matching Engine, Qdrant on GKE), Elasticsearch/OpenSearch</div> <div>Compute: Cloud Run, Cloud Functions, Vertex Pipelines, Cloud Dataproc (Spark/PySpark)</div> <div>CI/CD & IaC: GitLab/GitHub Actions</div>
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Unlock Your data science Potential: Insight & Career Growth Guide
Real-time data science Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for data science in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 150173 jobs in India and 10561 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in data science roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ObjectWin Technology India Pvt. Ltd is currently hiring and seeking a data science, GCP, VERTEX AI, Python, ml to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ObjectWin Technology India Pvt. Ltd adheres to the cultural norms as outlined by Expertini.
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Before the Interview:To prepare for your data science, GCP, VERTEX AI, Python, ml interview at ObjectWin Technology India Pvt. Ltd, research the company, understand the job requirements, and practice common interview questions.
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