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Senior Databricks Engineer - AI & Data Platform
Designs, builds, and governs the company's Azure Databricks Lakehouse — production data pipelines, workspace security, and Unity Catalog — while enabling AI workloads (LLM/RAG, Mosaic AI) and setting standards for CI/CD, testing, and cost optimization.
Senior AI Engineer
Senior AI Engineer at Velsera (PierianDx) in Pune, India, training, fine-tuning, and deploying LLMs and building RAG pipelines and AI/ML infrastructure on cloud platforms. Core stack: Python, PyTorch/TensorFlow/Hugging Face, vector databases, Docker/Kubernetes, and MLOps tools like MLflow.
Senior Data Platform Engineer
Build and run the ML platform backbone at DraftKings: owning Databricks and AWS infrastructure as code (Terraform) so Data Science and ML teams get automated, reproducible workflows. Day to day it's platform operations, scaling, cost efficiency, and close collaboration with data/ML and infra teams.
Senior AI/ML Engineer: GenAI, MLOps & Production Pipelines
Designs, deploys, and monitors production-grade machine learning solutions — including RAG applications and AI agents — using Python, SQL, Databricks, MLflow, Model Serving, and cloud platforms, collaborating with data scientists and platform teams. Remote-friendly role based in Gauteng, South Africa, with travel as needed.
Senior AI Engineer
Engineer on Centific's Physical AI team, building, fine-tuning, and deploying production AI systems spanning vision, video, multimodal, and agentic/robotics use cases. Core stack: Python, PyTorch/TensorFlow/JAX, NVIDIA NeMo/Riva/RAPIDS/Triton, AWS Bedrock, and GCP Vertex AI.
Senior AI Engineer
ADP is hiring a Senior AI Engineer in Barcelona (Spark team) to design, build, and deploy machine learning and Generative AI systems — NLP, deep learning, LLM/RAG applications, and ML infrastructure — that digitally transform its HCM products. Core stack: Python, AWS, Databricks.
Data analyst
Data analyst at Halyk Bank in Almaty who analyzes large datasets to find trends, generates and tests hypotheses including A/B testing, and helps launch data-driven campaigns. Core stack: Python, SQL, BI tools (QlikSense, Tableau, Power BI), plus Hadoop/Spark and GitLab CI/CD, Airflow, MLflow.
Senior Data Scientist
Builds and deploys ML models for soft debt collection at Halyk Bank — propensity-to-pay, recovery forecasting, client segmentation, and next-best-action — using Python, SQL, and gradient boosting (CatBoost, LightGBM, XGBoost), with A/B testing and collaboration with MLOps to move models into production.
Senior MLops Engineer
Senior MLOps Engineer at Halyk Bank (Almaty) building and running the ML platform end to end: automating training, validation, deployment, retraining and monitoring of credit/collection models, with CI/CD pipelines, model versioning and reusable components for data scientists. Core stack: Python, Docker, Kubernetes, Airflow, MLflow.
Senior Ai Engineer
Senior AI Engineer on ADP's Spark team in Barcelona, building machine learning and generative AI solutions (LLMs, RAG, agentic workflows) for ADP's HCM products. Day to day: designing, deploying, and scaling ML models, data pipelines, and APIs using Python, AWS, Databricks, and MLflow in an Agile team.
Machine learning Engineer - LLM/Generative AI System
Job Description : - Design and deploy multi-agent orchestration platforms for manufacturing automation and business process automation using frameworks such as LangGraph, CrewAI, and LangChain. - Build enterprise LLM…
Machine Learning Engineer
Design, build, and deploy machine learning models end-to-end — from data collection and preprocessing through production deployment and monitoring — for Betsson's iGaming products. Core stack is Python with MLflow, Spark, and cloud platforms (AWS/GCP/Azure), working hybrid in Budapest.
Machine Learning Engineer
Machine Learning Engineer at Betsson Group (Malta) who designs, builds, deploys, and monitors ML models end-to-end and integrates them into production systems, mentoring junior engineers along the way. Core stack: Python, MLflow, Spark, and cloud platforms (AWS/SageMaker preferred).
Data Science Team Lead в команду ранжирования
Leads Ozon Bank's ranking/personalization ML team (3 people, growing), owning the full ML lifecycle — data collection and ETL through production deployment, monitoring, and scaling — for models like enhanced-cashback category selection. Stack: Python, Spark, ClickHouse, S3, PyTorch, CatBoost, LightGBM, MLflow, Airflow.
AI Machine Learning Engineer
Lead a small team building scalable AI platform architecture (on-prem or cloud-native) in Hong Kong: implement MLOps/LLMOps/AgentOps practices, maintain infrastructure-as-code, and optimize model performance alongside data scientists. Core stack includes Docker, Kubernetes, Terraform, MLflow, and GPU-backed AI platforms; requires 3+ years of AI/ML platform engineering.
Middle Data Scientist
A Middle Data Scientist at Kazakhstan's Social Medical Insurance Fund (via recruiter Top-Human) builds, validates, and monitors classical ML models — classification, regression, forecasting, risk scoring, and anomaly/fraud detection — on structured government healthcare data. Core stack: Python, SQL, Pandas/NumPy/Scikit-learn, XGBoost/LightGBM/CatBoost.
Senior MLOps Engineer
First MLOps hire at Clariti/CivCheck, building and scaling the ML infrastructure behind an AI plan-review platform for governments: end-to-end training, evaluation, and serving pipelines on cloud GPU infra, plus CI/CD, monitoring, and cost optimization for production ML. Core stack: Python, Docker, Kubernetes, AWS/GCP/Azure, MLflow/W&B/Kubeflow.
AI Architect
Capgemini (Insight & Data) is hiring an AI Architect in Italy (hybrid) to design end-to-end AI, ML and Generative AI solutions — including RAG architectures, LLM and vector database integrations — define MLOps/CI-CD standards, and guide teams from design through production on cloud platforms like Azure, AWS, GCP, Databricks and Snowflake.