Data Science Innovator
1 month ago
We are seeking a talented Data Science Innovator to join our team at Addepto, a leading consulting and technology company specializing in AI and Big Data.
About the RoleIn this exciting position, you will have the opportunity to work on challenging projects across various industries, leveraging cutting-edge technologies such as Machine Learning, Deep Learning, and Cloud Computing.
About YouTo be successful in this role, you will need:
- 4+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).
- Proficiency in developing ML algorithms from scratch to production deployment.
- Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
- Proven expertise in deploying solutions in cloud environments (AWS or Azure).
- Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
- High proficiency in English (C1 level).
- Excellent communication skills and consulting experience with direct interaction with clients.
- Working 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.
- 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.
We provide a competitive salary, 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, and no dress code.
Salary RangeThe estimated annual salary for this role is $120,000 - $180,000, depending on location and experience.
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