Must have

• AI

• Data science

• LLM

• Machine learning

• Python

• AWS

• Azure

• Docker

• Kubernetes

• GenAI

• English

Nice to have

• Computer vision

Requirements description

What you’ll need to succeed in this role:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field.
• Hands-on experience with Python and Data Science applications (Generative AI, LLMs, Machine Learning, Predictive Modeling, NLP, Computer Vision, Deep Learning).
• Proven track record in managing technical teams and leading end-to-end projects.
• Experience working with corporate clients.
• Hands-on experience in ETL, data preparation, and data wrangling techniques.
• Strong critical thinking and problem-solving abilities.
• Excellent communication and presentation skills.
• Advanced English Skills – C1 proficiency level or higher.
• Proficiency in Python and cloud platforms (preferably Azure, AWS).

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 Data Science Manager, 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.
• GenAI knowledge retrieval platform for the leading automotive company. This project involves the creation of an Azure-backed platform that leverages cutting-edge LLMs to deliver powerful insights from an enterprise-scale knowledge base.
• AI recommendation engine for the leading innovation company. This project involves the design of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.

This role is ideal for a leader who combines technical expertise with strong leadership skills, ready to drive innovative projects in data science and big data.

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.
• 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. Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions.
2. Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth.
3. Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs.
4. Building technical solutions that deliver measurable value.
5. Identify opportunities to expand service offerings and project potential with clients.
6. Take part in pre-sales activities, connecting technical solutions to client needs.

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