Machine Learning Architect for AI Innovation
7 days ago
Overview
Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups.
Job Summary
We are seeking an experienced Machine Learning Architect to join our team and contribute to the development of cutting-edge AI solutions. As a Machine Learning Architect, you will have the opportunity to work on exciting projects across various industries, leveraging the latest technologies.
About the Role
The successful candidate will have extensive experience in designing and implementing scalable AI solutions, proficiency in developing ML algorithms from scratch to production deployment, and strong programming skills in Python. You will also be proficient in deploying solutions in cloud environments (AWS or Azure) and have knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
Responsibilities
- Develop, implement, and validate Machine Learning solutions tailored to specific project requirements.
- Understand clients' needs and translate business problems into data science problems.
- Design scalable AI solution architectures.
- Develop data pipelines and workflows, ensuring the highest standards of data quality and security.
- Collaborate with Data Engineering and Software Engineering teams to build and deploy AI applications.
- Present findings and recommendations clearly and concisely to stakeholders.
- Effectively plan tasks within an Agile/Scrum framework.
Requirements
This role requires:Proficiency in Machine Learning, Data Science, AI, Python, NLP, Deep Learning, Cloud, MLOps, Computer Vision, GenAI, TensorFlow, Spark, Kubernetes, MLflow, CI/CD, AWS, PyTorch, Docker, LLM, RAG, LangChain, LlamaIndex, OpenAI, Huggingface.Experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).Good knowledge of CI/CD principles (GitHub and GitHub Actions).Familiarity with MLOps practices, Kubernetes, and Docker.A Master's or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
Benefits
As a member of our team, you can expect:Private healthcare.Multisport card.Referral bonus.MyBenefit cafeteria.International projects.Flat structure.Paid leave.Training budget.Language classes.Team building events.Small teams.Flexible form of employment.Flexible working hours and remote work possibility.Sport subscription.Free coffee.Shower.Startup atmosphere.No dress code.In-house trainings.
Salary: $120,000 - $180,000 per year
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