IBM is currently hiring tech professionals across multiple locations in India. This is a great opportunity for techies to join a global leader in technology. If you're looking to advance your career, apply now to explore exciting roles at IBM!
IBM is currently hiring tech professionals across multiple locations in India. This is a great opportunity for techies to join a global leader in technology. If you're looking to advance your career, apply now to explore exciting roles at IBM!
Also read: Google offers learn and earn program for techies; enroll now
1.Partner Technical Specialist- Data & AI
Required Technical and Professional Expertise
• Minimum 4-7 years of experience in Data and AI technologies which should include Analytics & Advance Analytics solutions like Datalake, Data Warehouse, Business Analytics, Planning Budgeting, AI, GenAI & Datafabric.
• Experiential selling including co-creation an d hands-on technical sales methods such as: demos, custom demos, Proofs of concept, Minimum Viable Products (MVPs) or other technical proofs
• Build deep brand (Data & AI) expertise to assist partners to deliver PoX (Custom Demo, PoC, MVP, etc.) to progress opportunities.
• Identifying partners with skills, expertise, and experience
• Identify partner capacity and assist partners in building capacity
Preferred Technical And Professional Expertise
• Technical skills in IBM's Data & AI Brand, Portfolio to support partner’s Sell opportunities
• Experience of successfully engaging with Ecosystem Partners and clients to identify, progress and win IBM Technology sales opportunities.
• Demonstrate how IBM Technology addresses Client, Market, and Industry trends are relevant to the partner, looking for ways to increase cross-sell opportunities for the partner.
2. Senior Lead Engineer
Required Technical and Professional Expertise
• 12+ years of experience in IT industry with 8+ years of experience in software product development
• 6+ years of experience in Node.js, React, Typescript, JavaScript, HTML, CSS, MongoDB.
• 4+ years of experience in using AWS/Azure cloud platform and Kubernetes
• Excellent understanding of Microservice architecture
• Experience in Agile development methodologies
• Familiarity with secure development and deployment best practices
• Experience working with GitHub as source control
• Experince in using tools for software development lifecycle
Preferred Technical And Professional Expertise
• Experience in AI technologies
• Other programming languages like Java, Python, Golang etc
3. AI Engineer
Role and Responsibilities
• Build and Deploy Models:
• Design, develop, and optimize machine learning and deep learning models.
• Implement algorithms to improve the performance and scalability of AI systems.
• Data Preparation:
• Handle data collection, cleaning, and preprocessing for large datasets.
• Develop and maintain data pipelines to ensure efficient data processing.
• Code and Integrate:
• Write clean, efficient code and i
