Senior Tech Lead - Python, Java, GenAI & Machine Learning
Senior Tech Lead - Python, Java, GenAI & Machine Learning Long-Term Contract | Initial 6-Month C2C Contract | Potential Extension up to 3 YearsWe're seeking an experienced Senior Tech Lead - Python, Java, GenAI & Machine Learning to lead the delivery of modern software solutions that combine robust engineering practices with cutting-edge AI, Machine Learning, and Generative AI capabilities. This is a hands-on leadership role for someone who can drive technical strategy, mentor engineering teams, and deliver scalable, production-grade applications in a cloud-native environment.
Key Responsibilities:
Lead the design, development, deployment, and support of enterprise-scale software applications and AI-enabled solutions.
Drive architecture decisions across software engineering, cloud platforms, APIs, microservices, and AI technologies.
Build and maintain cloud-native applications, CI/CD pipelines, monitoring solutions, and platform services.
Partner with Product Managers, Data Engineers, DevOps, and business stakeholders to deliver high-quality digital products.
Provide technical leadership and mentorship to software engineers, data engineers, and AI engineers.
Establish engineering best practices covering software quality, testing, security, observability, and reliability.
Design and implement AI, GenAI, RAG, and intelligent automation solutions that solve real-world business challenges.
Identify opportunities to leverage AI technologies and transform them into scalable production solutions.
Drive continuous improvement across architecture, engineering standards, delivery practices, and platform capabilities.
Required Experience:
8+ years of software engineering experience delivering enterprise-grade applications.
Proven experience leading engineering teams and technical initiatives.
Strong programming skills in technologies such as:
- PythonJavaJavaScript / TypeScriptJVM-based technologies
- Experience building and supporting APIs, microservices, and distributed systems.
- Strong understanding of software architecture, system design, clean coding principles, testing, and code reviews.
- Hands-on experience with:
- Kubernetes
- ContainerisationCI/CD pipelines
- Cloud-native architectures
- Experience deploying and operating scalable, secure, high-performance applications.
- Practical experience with:
- Machine Learning
- Generative AILLMsRetrieval-Augmented Generation (RAG)AI application development
- Strong understanding of software security, governance, and operational excellence.
Qualifications:
Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Data Science, Machine Learning, Engineering, or a related discipline.
Ideal Candidate:
You are a technology leader who combines deep software engineering expertise with practical AI implementation experience. You can influence stakeholders, mentor technical teams, and deliver innovative solutions that create measurable business value.
Contract Type:
C2CDuration: Long-Term Contract | Initial 6-Month C2C Contract | Potential Extension up to 3 Years
Location: Hybrid/Remote (as applicable)
Start Date: Immediate
Interested candidates are encouraged to apply with an updated CV highlighting relevant Software Engineering, AI, Machine Learning, and Cloud experience