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Ciklum India
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Chennai · On-site · 6-9 Yrs · Sep 1
Information Technology Support Services · 1001 to 5000 Employees · London, United Kingdom
1 open role0 posted in 7d1 in 30d
Work-life balance 4.0Compensation & benefits 3.7Culture & values 3.8
Hiring: Engineering
What employees say
+ TA Head is knowledgeable, supportive, and easy to work with Positive and collaborative culture People-centric company that genuinely values employees Strong learning and growth
− WORST company to start as a developer but best if you want to enter politics
More reviews on the company profile.
Interview experience · Senior Software Engineer
I applied through linkedin got a call from hr and scheduled interview the very next day. there are mostly two rounds of interview for my role. 1st round was Technical discussion where Python , Fast API fundamentals were
Difficult difficulty · Pune · 27 reports
More interview insightsJob description
Overview
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India.
Responsibilities
- Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India.
- We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
- About The Role
- As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
- This role is responsible for developing and enhancing enterprise Generative AI capabilities within the MALTS platform, accelerating AI adoption through reusable frameworks, agentic services, and self-service platform components. The engineer will contribute to the development of scalable GenAI, Data Science, and AI/ML lifecycle capabilities that enable faster delivery of business solutions across Consumer, Banking, and Wealth organizations.
- This is a hands-on software engineering role focused on building enterprise-grade Generative AI, Data Science, and AI Platform capabilities within client's strategic AI ecosystem. The engineer will work as an individual contributor responsible for designing, developing, and delivering reusable GenAI platform services, frameworks, APIs, and application components that support AI model development, deployment, inferencing, automation, and governance.
- The successful candidate will partner with senior engineers, architects, product owners, and data scientists to develop scalable, secure, and resilient solutions leveraging modern AI frameworks, cloud-native technologies, distributed computing platforms, and enterprise engineering practices.
- This role is ideal for an engineer passionate about Generative AI, application development, platform engineering, automation, and building reusable capabilities that accelerate enterprise AI adoption.
- Develop and enhance enterprise Generative AI platform capabilities, reusable services, and self-service tools
- Design and build AI-powered applications, agentic workflows, RAG solutions, and MCP-enabled services
- Develop scalable APIs, microservices, and platform components supporting AI/ML lifecycle management
- Build and maintain frameworks supporting model development, fine-tuning, deployment, inferencing, monitoring, and observability
- Implement event-driven and streaming solutions leveraging technologies such as Kafka and distributed processing platforms
- Contribute to CI/CD pipelines, automation frameworks, testing strategies, and DevOps practices
- Collaborate with platform engineers, architects, data scientists, and business stakeholders to deliver new capabilities
- Participate in design discussions, code reviews, sprint planning, story refinement, and estimation activities
- Ensure solutions meet enterprise standards for security, scalability, governance, resiliency, and operational excellence
- Support platform observability, monitoring, and performance optimization initiatives
- Continuously evaluate emerging AI technologies and contribute innovative solutions to enhance platform capabilities
- Core Engineering Responsibilities:
- Develop code and automated tests to deliver stories and requirements meeting quality and compliance standards
- Participate in application design leveraging data, application, integration, and platform architecture patterns
- Collaborate in requirement analysis, story refinement, and solution design activities
- Estimate and deliver assigned work within Agile development cycles
- Build agentic applications, AI assistants, workflow automation capabilities, and event-driven services using Kafka, containers, and MCP architectures
- Deliver secure, scalable, observable, and resilient software solutions aligned with enterprise standards
- Troubleshoot, optimize, and maintain platform services to ensure operational excellence
Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related technical discipline
- 6+ years of software engineering experience with strong expertise in Python-based application development
- Strong understanding of modern Generative AI and Data Science platform architectures, including compute-storage separation, virtual environments, containers, Jupyter, and VS Code-based development
- Hands-on experience developing AI/ML and GenAI solutions using modern frameworks and tools
- Strong Python programming skills with experience building production-grade applications and reusable libraries
- Understanding of metadata management, data lineage, governance principles, and semantic layer concepts
- Familiarity with cloud-native development, containers, Kubernetes, and distributed computing environments
- Core Skills:
- Python
- Generative AI / LLMs
- RAG & Agentic AI
- MCP
- Data Engineering
- Kubernetes & Containers
- Cloud Engineering
- CI/CD & DevSecOps
- Kafka/Event Streaming
- APIs & Microservices
- AI Platform Engineering
- Knowledge of LLM integration, prompt engineering, model evaluation, and AI observability
- Familiarity with enterprise AI governance, responsible AI, metadata, and data quality concepts
- Exposure to enterprise-scale Generative AI platforms and self-service developer ecosystems
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
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Job application FAQ
Last updated 18 September 2026
- How do I apply for Senior Artificial Intelligence/Machine Learning Engineer at Ciklum India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Ciklum India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Artificial Intelligence/Machine Learning Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Artificial Intelligence/Machine Learning Engineer remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Senior Artificial Intelligence/Machine Learning Engineer role at Ciklum India?
- This is a senior Senior Artificial Intelligence/Machine Learning Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.