NEORIS - Bilingual Data Scientist
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Requirements
• 5+ years of experience in Data Science, Machine Learning, or AI-related roles. • Strong proficiency in Python and experience with SQL for large-scale data analysis. • Hands-on experience building and deploying ML models using frameworks such as scikit-learn, TensorFlow, or PyTorch. • Practical experience developing and deploying computer vision models (e.g., object detection, image classification, segmentation). • Hands-on experience with LLMs, prompt engineering, embeddings, and RAG-based architectures. • Familiarity with data processing or streaming pipelines (e.g., Apache Beam, Google Cloud Dataflow, Spark or similar frameworks). • Experience working with REST APIs and integrating models into production systems. • Strong analytical and communication skills with English proficiency (B2+ or higher). • English proficiency (B2+ or higher). • Experience with cloud platforms (GCP, AWS, or Azure) and MLOps tools (Docker, Kubernetes, MLflow). • Familiarity with GenAI frameworks (LangChain, LlamaIndex, ADK). • Experience working in Agile environments and using version control (Git). • Exposure to real-time or streaming data pipelines. • Experience mentoring junior team members or leading technical initiatives.
Responsibilities
• End-to-End Model Development: Design, develop, and deploy machine learning models, including data preprocessing, feature engineering, training, validation, and performance optimization. • Advanced Analytics: Apply statistical and machine learning techniques (regression, classification, clustering, anomaly detection) to solve complex business challenges. • Computer Vision Solutions: Develop and implement computer vision models (e.g., object detection, classification, segmentation) for real-world use cases. • Generative AI & LLMs: Design and build GenAI applications using LLMs, prompt engineering, embeddings, and RAG pipelines. • System Integration: Integrate AI/ML models into applications using APIs and backend services. • Data Pipelines & MLOps: Collaborate with engineering teams to build scalable data pipelines and deploy models using modern MLOps practices. • Code & Best Practices: Write high-quality, modular, and production-ready code using Python and SQL. • Stakeholder Communication: Translate complex technical findings into actionable insights through clear visualizations and reporting. • Collaboration & Leadership: Work closely with data engineers, developers, and business stakeholders, and mentor junior team members.
Benefits
• Statutory & Major benefits • Personal Growth • Competitive salary • Attractive benefits plan • Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.
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