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Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—…
The Data Scientist at EXLService.com, LLC in New York, NY, will be part of the digital team within EXL Health building healthcare cloud platforms. Develop and convert legacy processes to AI-based healthcare products.…
Designs and deploys scalable AI/ML solutions for manufacturing operations, collaborating with cross-functional teams to integrate models, pipelines, and governance in cloud and on-prem environments.
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Leads Inter's Decision Modelling team (Brazil's first digital bank) building and maintaining credit and collections models — approval/recovery scores, limit optimization, income estimators. Day to day: technical leadership, model governance and production monitoring, MLOps, and stakeholder alignment using Python, SQL, scikit-learn, MLflow/Airflow and cloud platforms.
Remote (US) Senior Data Engineer at Octave, a behavioral health company, building and evolving its modern data stack and the foundation of its AI/ML platform. Day to day: designing scalable ingestion, transformation, and storage pipelines with SQL/Python and GCP/AWS tooling, and enabling end-to-end ML workflows with data scientists.
Build and deploy ML models to optimize driver assistance services using Python and AWS SageMaker, collaborating with cross-functional teams to improve operations and customer satisfaction.
Future Processing, a Polish IT services company, is hiring a Senior Machine Learning Engineer to build and advise on ML/AI solutions for client projects, including NLP/LLM work, cloud AI services, and presales involvement. Core stack is Python with ML libraries like TensorFlow, PyTorch, and scikit-learn; B2B contract at 115–185 PLN/h.
Pipe Technologies is hiring a Senior Data Scientist (remote anywhere in the U.S.) to build and deploy ML and statistical models forecasting customer cash flows and credit risk, run A/B tests to improve product and underwriting, and advance models with deep learning techniques like transformers. Core stack includes PyTorch/TensorFlow, Spark, and AWS/GCP.
Principal ML Engineer at HubSpot builds AI systems that extract context from CRM data to power customer-facing features using deep learning, retrieval, and NLP.
Build and deploy a Python-based EO/IR object-detection app into Kubernetes, integrating research code with operational systems using Protocol Buffers and container tooling.
Trainee machine learning engineer at QBrainX in Coimbatore, India, working with data scientists and senior ML engineers to build, train, and deploy models that solve real-world problems. Core stack: Python with scikit-learn, pandas, NumPy, TensorFlow or PyTorch, plus Git.
Syngenta's R&D Digital data science team is hiring a Machine Learning Engineer to build and deploy production-grade computer vision and ML solutions that turn drone, satellite, and sensor imagery into digital traits for seed breeding. Day-to-day work spans the full ML lifecycle — model development, cloud data pipelines, MLOps, and monitoring — using Python, PyTorch/TensorFlow, Docker, and AWS/GCP/
AI/ML engineer at DataZymes in Bengaluru building and productionizing GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) for healthcare/pharma analytics clients. Core stack: HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, and cloud ML platforms (AWS/Azure/GCP); Databricks/Spark is a plus.
Freelance data science trainer in Delhi who delivers in-depth training on statistics, machine learning, and predictive modeling. Runs hands-on Python sessions (Pandas, NumPy, Scikit-learn, TensorFlow), guides learners through end-to-end projects, and evaluates assignments while mentoring them for data science careers.
Senior AI Engineer in EY Ireland's AI Lab in Dublin, building LLM-driven and multi-agent solutions for global clients. Day to day involves developing generative AI/RAG pipelines and agentic systems with Python, Azure OpenAI, LangChain/LangGraph and Hugging Face, deployed on cloud with MLOps tooling.
A mid-level data analyst on PrivatBank's internal audit team supports audits by extracting, cleaning and analyzing data from bank databases, writing and optimizing SQL, and building interactive BI dashboards. They also develop continuous-audit logic to detect risks, anomalies and fraud in real time; core stack is SQL, DWH/ETL and Power BI/Tableau, with Python/R as a plus.
Own ML end-to-end for a proprietary trading platform: turn loosely framed business problems into models in a high-load, low-latency environment — from feature engineering and hypothesis testing to evaluation and business-ready results. Core stack: Python (NumPy, SciPy, Pandas, Scikit-learn), PySpark/MLlib, XGBoost/GBM, survival analysis, and MLflow.
Senior Data Scientist / ML Engineer at OVENTI, a Data & AI consulting firm in Paris: design, train and deploy ML models (notably on risk/finance topics) end-to-end — from data exploration in Snowflake to industrial deployment on Azure — with rigorous MLOps practices. Core stack: Python, Scikit-Learn/XGBoost, Azure, Snowflake, GitLab CI/CD, MLflow.
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