Artificial Intelligence & Engineering
AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.
Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
Level: Consultant or equivalent
As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Must Have Skills/Project Experience/Certifications:
Should have built scalable, reliable, and secure backend services and APIs using Java and Spring Boot. Should be proficient in well-known AWS services (e.g. EC2, S3, SQS, SNS, RDS etc.). Should have the ability to suggest the suitable services to be used to achieve a given cloud based functionality.
Well versed with: Exception Handling, Collections Framework, Threads, Streams, Lambdas etc.
Able to explain concepts related to Natural Language Processing (NLP), Machine Learning, Deep Learning, Computer Vision etc.
Troubleshooting & Debugging: Identify, diagnose, and resolve bugs and performance bottlenecks within the application with minimal hand-holding. Should be able to provide directionally correct answers to questions based on error scenarios.
Should be a good team player. Able to work closely with other developers, designers, project managers, and cross-functional teams to deliver integrated solutions.
Good to Have Skills/Project Experience/Certifications:
Hands-on experience in AI – Basic understanding of concepts related to Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Computer Vision etc.
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