Must have

• AI

• ML algorithms

• ML libraries

• LLMs

• SQL

• NoSQL

• CI/CD

• Python

• English

Nice to have

• MLOps

• Docker

• Kubernetes

Requirements description

What you’ll need to succeed in this role:

• 5+ years of commercial experience designing and implementing scalable AI solutions ( Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI, LLMs, Deep Learning).
• 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.
• Leadership and mentoring experience is highly desirable.

Offer description

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, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI consultingcompanies.

As a Senior Data Scientist / ML Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:

• AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
• AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.

Discover our perks and benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.
• Engage with top-tier global enterprises and cutting-edge startups on international projects.
• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
• Choose from various employment options: B2B, employment contracts, or contracts of mandate.
• Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
• Participate in team-building events and utilize the integration budget.
• Celebrate work anniversaries, birthdays, and milestones.
• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Your responsibilities

1. Develop, implement, and validate Machine Learning models to support business objectives.
2. Design AI solutions that address complex business challenges and drive value.
3. Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
4. Understand clients' needs and translate business problems into data science problems.
5. Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
6. Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.

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