Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Leads a growing team of applied ML scientists to develop and deploy fraud detection/identity verification models for US financial institutions, balancing technical execution, mentorship, and product strategy in fintech risk solutions.
Builds and deploys AI/ML models for a client’s product, focusing on data pipelines, model optimization, and production integration using Python, TensorFlow/PyTorch, and cloud platforms.
Builds statistical models, processes large-scale data platforms, and collaborates with teams to develop and evaluate cloud-based ML models using Python, SQL, and cloud tools like BigQuery and Teradata.
Senior Data Engineer builds and maintains scalable data pipelines and models for GRESB’s sustainability benchmarks, ensuring trustworthy, well-documented data for investors and AI systems using Python, Postgres, and cloud-native tools.
Builds and maintains Python-based backend services, data platforms, and internal tools for King’s gaming ecosystem, focusing on scalable APIs, distributed systems, and analytics to support business decisions.
Lead Software Engineer designing and building AI-driven observability and agentic systems for Disney's streaming platforms (Disney+, Hulu, ESPN) using Python, foundation models, and distributed systems at scale.
Junior data analyst at a global bank, extracting and processing data with Python and SQL, building dashboards, and translating insights into business decisions.
Data Scientist building time series models and predictive algorithms for quantum sensor systems, using Python, NumPy, Pandas, scikit-learn, and TensorFlow/PyTorch in an office/lab setting.
The Data Engineer will design, build, and maintain ETL pipelines and data marts within a banking environment using PySpark and Python. The role involves managing the full SDLC, from development and UAT to production deployment and support, while working with diverse data types.
Data Engineer building ETL pipelines and data marts with PySpark and Python in a banking environment, owning the full SDLC from build through production deployment and support.
This role involves identifying and mitigating emerging fraud risks in credit card and lending products using advanced data science, machine learning, and anomaly detection. The expert will bridge the gap between fraud strategy and technical implementation to proactively protect the organization from evolving threats.
The Data Engineer Summer Analyst will design, build, and maintain ETL/ELT data pipelines and cloud infrastructure using Python, AWS, and Snowflake. This role involves collaborating with engineering teams to develop scalable data solutions and automate cloud configurations within an alternative asset management environment.
The Data Analyst will manage monthly demand cycles for a pharmaceutical client and lead the automation of these processes using Python, SQL, and Snowflake. The role involves building analytical tools and forecasting models to support strategic decision-making across business units.
The Lead Backend Engineer will design and develop scalable enterprise-level web applications and microservices using Python and Java. The role involves data modeling, quantitative analysis, and cloud infrastructure management within a global financial services environment.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Data Engineer building data pipelines, ETL processes, and data marts using SQL/PostgreSQL, Python (Pandas/PySpark), Kafka, and AWS services like Glue, S3, and Athena.
Build and maintain end-to-end training data pipelines for Large Language Models (LLMs), covering data cleaning, deduplication, quality filtering, and versioning. Core technologies: Python, pandas, LLM SFT/RLHF data pipelines.
Data Scientist II building ML, NLP, and generative AI systems for clinical and scientific knowledge discovery and evidence extraction at Elsevier, using Python, LLMs, and standard ML/data science libraries.
Develops and deploys AI-powered legal tools by designing experiments, evaluating LLM/ML models, and prototyping agentic systems for legal research, drafting, and decision-making.
Position Summary EXL is looking for an experienced Analytics Manager with a sports background who will play a crucial role in providing analytics support to a client within our Sports, Media and Entertainment practice.…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
