Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Lead AI/ML solutions design and implementation while mentoring the Data Science team.
- Arbeitgeber: Join Capgemini, a global leader empowering tech-driven transformations.
- Mitarbeitervorteile: Enjoy a collaborative work culture with opportunities for career growth and innovation.
- Warum dieser Job: Shape the future of technology and contribute to a sustainable, inclusive world.
- Gewünschte Qualifikationen: 5-12 years of experience in AI/ML and proficiency in AWS services required.
- Andere Informationen: This is a permanent position based in Mumbai.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Artificial Intelligence/Machine Learning | 5 to 12 years | PAN India
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
- Lead the technical design and implementation of AI/ML solutions.
- Guide teams in leveraging AWS services for building and deploying machine learning models.
- Ensure best practices in code quality, scalability, and security.
- Collaborate with clients to gather requirements and translate them into technical solutions.
- Mentor and support the Data Science team in their deliverables.
Primary Skills
- Data Science
- AWS Services
Secondary Skills
- Good Communication
Experience Level: Experienced Professionals
Contract Type: Permanent
Location: Mumbai (ex Bombay), IN
Professional Community: Software Engineering
#J-18808-Ljbffr
Artificial Intelligence/Machine Learning | 5 to 12 years | Hyderabad Arbeitgeber: Capgemini
Kontaktperson:
Capgemini HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Artificial Intelligence/Machine Learning | 5 to 12 years | Hyderabad
✨Tip Number 1
Familiarize yourself with AWS services that are commonly used in AI/ML projects. Being able to discuss specific services like SageMaker or Lambda during your interview can demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Showcase your experience in leading technical design and implementation of AI/ML solutions. Prepare examples from your past work where you successfully guided teams or mentored others, as this aligns well with the responsibilities of the position.
✨Tip Number 3
Brush up on best practices in code quality, scalability, and security. Be ready to discuss how you've implemented these practices in previous projects, as this will highlight your commitment to delivering high-quality solutions.
✨Tip Number 4
Prepare to discuss your communication skills and how you've collaborated with clients to gather requirements. This is crucial for the role, so think of specific instances where your communication made a positive impact on project outcomes.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Artificial Intelligence/Machine Learning | 5 to 12 years | Hyderabad
Tipps für deine Bewerbung 🫡
Understand the Role: Take time to thoroughly read the job description. Understand the key responsibilities and required skills, especially in AI/ML and AWS services, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with AI/ML solutions and any projects where you utilized AWS services. Provide specific examples that demonstrate your technical design and implementation skills.
Showcase Communication Skills: Since good communication is a secondary skill mentioned, make sure to highlight instances where you've effectively collaborated with clients or mentored team members. This can set you apart from other candidates.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and how you align with Capgemini's mission of building a more sustainable and inclusive world.
Wie du dich auf ein Vorstellungsgespräch bei Capgemini vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML solutions in detail. Highlight specific projects where you led the design and implementation, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate AWS Proficiency
Since the role emphasizes leveraging AWS services, make sure to familiarize yourself with relevant AWS tools and services. Be ready to discuss how you've used these in past projects to build and deploy machine learning models.
✨Emphasize Collaboration Skills
Capgemini values a collaborative community, so be prepared to share examples of how you've worked effectively in teams. Discuss your approach to gathering requirements from clients and translating them into actionable technical solutions.
✨Mentorship Experience
As mentoring is part of the role, think about your past experiences in guiding or supporting team members. Share specific instances where you helped others improve their skills or achieve their deliverables.
