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Artefact is seeking a Junior Data Scientist to lead data-driven projects and assist clients in transforming their marketing departments. The role involves applying machine learning and data modeling expertise to solve business problems while mentoring team members and collaborating across international divisions.
Lead a team of data engineers to design and deliver cloud-native data platforms for international clients, using Python, Spark, Airflow, and major cloud providers (GCP, AWS, Azure).
Artefact is seeking a Lead Software Engineer to build robust data platforms and agentic AI architectures for global clients. The role involves working with modern stacks like Python, LangGraph, and cloud infrastructure in a hybrid, collaborative environment.
The Senior AI Engineer acts as a technical consultant and builder, designing and deploying end-to-end AI/ML and Generative AI solutions for global clients. The role involves bridging business strategy with technical execution using cloud-native infrastructure and modern MLOps practices.
Artefact is seeking a Senior Data Engineer to design, build, and scale data-driven solutions and machine learning infrastructure. You will work in cross-functional teams using technologies like Python, Spark, Airflow, and cloud platforms (GCP/AWS) to deliver impactful data projects for global clients.
The Senior Data Engineer will design, build, and maintain scalable data pipelines while leading a team of engineers. The role requires expertise in SQL, Python, Databricks, Snowflake, and cloud-based data integration tools to support data-driven consulting and marketing solutions.
As a Senior Data Scientist at Artefact, you will design, deliver, and scale end-to-end AI and machine learning solutions for diverse clients while mentoring junior team members. The role requires strong software engineering and MLOps skills to ensure production-ready AI pipelines.
Artefact is seeking a Senior Data Scientist to translate business challenges into technical AI and machine learning solutions. The role involves end-to-end model development, from data assessment and algorithm selection to production deployment using Python and MLOps principles.
The Senior Data Scientist will lead and deliver generative AI and LLM projects, managing teams and architecting solutions like RAG systems and agentic AI for clients. The role involves technical leadership, client engagement, and mentoring junior staff within a consulting environment.
Artefact is seeking a Senior Data Scientist to lead marketing-focused AI projects, including attribution modeling and customer segmentation. The role involves developing data science solutions, mentoring team members, and collaborating with clients to drive business impact using Python, SQL, and R.
Build and deploy AI-driven systems like multi-agent chatbots and data platforms for global clients, using Python, FastAPI, and cloud tools while solving cutting-edge challenges across industries.
Lead a team building production-grade AI systems—from classical ML to LLM-powered agents—while shaping client solutions, pre-sales pitches, and team standards.
Lead GenAI programs for international clients, orchestrating cross-functional teams to deploy generative AI solutions from PoC to industrialization while ensuring compliance and adoption.
Junior Data Scientist builds and tests ML models, cleans data, and creates visualizations to deliver AI-driven insights for clients in Jakarta or Kuala Lumpur.
Lead applied AI projects for marketing and commerce, building production-grade models to measure campaign impact and generate brand content at scale.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owns data pipelines, and mentors junior scientists while ensuring production-readiness and business impact.
The Applied AI Scientist role at Tipalti involves working on artificial intelligence applications within a fintech environment. The position is fully remote and offers compensation in foreign currency.
This role is for a senior Python developer with 13 years of experience to build production-grade AI agents and LLM applications. The position involves working with technologies such as Google Agent SDK, Gemini, OpenAI, RAG, and vector databases in a hybrid environment.
This role involves building and maintaining the data platform and backend services that power AI features for an educational platform. You will design data models, manage ingestion pipelines, and ensure system reliability in a production environment using Python, SQL, and AWS.
Senior Security Engineer shaping AI training data for a human data platform for AI agents and LLMs, writing prompts, code solutions, and evaluating model outputs to improve safety and performance.
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