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Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Builds uplift and RFM models in Python to optimize marketing campaigns and A/B tests for an e-commerce company.
Build and deploy AI models that power personalized marketing content at scale using deep learning and transformer architectures in Python and PyTorch.
Build and tune credit-scoring models (logistic regression, gradient boosting) to predict customer defaults, run A/B tests on risk rules, and translate data insights into business decisions for a FinTech lender.
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
Lead the development of ML models for Monzo’s search and recommendation systems, using Python, scikit-learn, and Go to personalize financial product discovery for 15M+ users.
Build and deploy ML models for time-series forecasting and statistical analysis using Python, PySpark, and Databricks to solve client problems in finance and energy sectors.
Hybrid AI leader and data scientist building LLM integrations, RAG solutions, and ML models for corporate analytics, automation, and decision support at a global consumer-goods company.
A Senior Data Scientist who designs and deploys advanced ML systems (recommender engines, NLP, classification) to personalize user experiences and measure true business impact via causal inference (e.g., uplift modeling).
Builds and deploys end-to-end ML models (XGBoost, PyTorch/TensorFlow) for energy-sector digital transformation, collaborating cross-functionally to solve business problems with Python/SQL and cloud platforms (AWS/GCP/Azure).
Build and optimize algorithmic trading strategies for large-scale battery storage systems and renewable energy assets using mathematical modeling, optimization, and AI in Python on AWS.
Build and deploy ML models for personalization and causal inference, focusing on recommender systems and uplift modeling using Python, PySpark, and cloud platforms.
Designs and builds mission-critical IT/OT systems that link enterprise software with factory MES platforms using Python, Django, SQL, and applied AI/ML to improve manufacturing efficiency and quality.
NLP engineer working on GigaChat Pro, a bank employee copilot assistant that interacts with clients. Daily tasks include developing LLM/BERT-based models, optimizing pipelines, and testing new AI-driven business solutions to enhance the assistant’s functionality and performance.
Build and deploy ML models to predict user responses and optimize first-price ad auctions with bid shading, pacing, and feedback loops for a large media, adtech, and e-commerce platform.
Builds and maintains Python-based GenAI applications and microservices, integrating AI models with enterprise systems using FastAPI, cloud platforms, and GenAI techniques like RAGs.
Build and own recommendation features for a fintech platform serving private equity, lenders, and advisors using classical ML and embeddings on social/transaction data.
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
Build, tune, and deploy ML models in Python using TensorFlow, PyTorch, and Spark ML to power scalable AI features for Conga’s commercial-operations platform.
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