AI Research Specialist

1 settimana fa

Roma, Lazio, Italia Leonardo A tempo pieno

Job Overview:

Leonardo is a prominent global industrial entity that harnesses diverse technological expertise across Aerospace, Defence & Security sectors. With a workforce exceeding 51,000 across the globe, the organization boasts a substantial industrial footprint in Italy, the UK, Poland, and the US, while also extending its operations to 150 countries through various subsidiaries, joint ventures, and investments. As a pivotal contributor to significant international strategic initiatives, Leonardo serves as a technological and industrial ally to governments, defense agencies, institutions, and corporations.

The foundation of our business is built upon innovation, ongoing research, digital transformation, and sustainability.

We are seeking a committed and forward-thinking AI Research Specialist to enhance our capabilities.

The ideal candidate will engage in high-caliber research across multiple domains of artificial intelligence, encompassing machine learning, deep learning, natural language processing, and computer vision.

Responsibilities include the development of novel algorithms and the creation of prototypes for innovative software solutions.

This position demands a profound understanding of AI, exceptional problem-solving abilities, and the capacity to thrive in a dynamic, collaborative setting.

Key Responsibilities

Conducting advanced research in artificial intelligence. Innovating new algorithms and developing prototypes for software applications. Keeping abreast of the latest trends and advancements in AI. Contributing to projects funded by European initiatives. Collaborating with team members to meet project objectives. Presenting research outcomes to relevant stakeholders. Participating in industry conferences and events.

Qualifications

A Master’s Degree in Computer Science, Artificial Intelligence, or a related discipline (Engineering, Mathematics, Physics, etc.).

Experience Level

Junior / Expert

Required Skills

Demonstrated experience in AI research. Comprehensive knowledge of machine learning, deep learning, and related AI technologies. Proficient programming skills, particularly in Python. Familiarity with AI frameworks such as PyTorch or TensorFlow.

Language Proficiency

Fluent in English, both written and spoken.

Essential Soft Skills

Strong problem-solving capabilities. Ability to function effectively in a fast-paced, collaborative environment. Skill in conveying complex information to non-technical audiences. Excellent written and verbal communication skills.

We look forward to receiving your application : please submit your CV in response to this job announcement.

Recruitment Process Overview:

We will review applications and assess CVs that align closely with our requirements. Selected candidates will participate in a motivational and aptitude interview with the HR team, followed by a comprehensive technical interview with the Business.

At the conclusion of the process, the HR team will provide feedback to each candidate, whether positive or negative.

Our Commitment:

Engagement, skill enhancement, and prioritizing individuals' wellbeing, health, and safety are fundamental to our corporate culture.

We strive daily to foster an inclusive and stimulating work environment, enabling everyone to realize their full potential and contribute to the company's growth and the sustainable development of the communities we serve.

What We Offer:

Competitive salary aligned with experience and role level, complemented by performance-related rewards; Opportunities for ongoing training and development of both professional and soft skills;
• Work-Life Balance: We advocate for a healthy balance between personal and professional life through hybrid and flexible working arrangements; Wellness: We prioritize the economic, physical, social, and psychological wellbeing of our employees, offering a variety of solutions tailored to their needs.

We adhere to the CCNL for the Private Metalworking Industry and Installation of Systems.

Experience Level:

Expert

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