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    Job · 12911371

    REMOTEFULLTIME

    Senior Artificial Intelligence/Machine Learning Engineer

    Ciklum logo

    Ciklum

    Remote · remote · Posted 61d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeRemote

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Job Summary

    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.

    Role overview

    As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java, hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience, preferably on Azure/AWS.

    Responsibilities

    • Lead the design and development of AI-driven applications, with a strong focus on RAG-based chatbot solutions
    • Architect scalable, reliable, and maintainable solutions using Python and Java
    • Deploy, manage, and optimize AI applications on AWS cloud infrastructure while ensuring efficient resource utilization
    • Collaborate with cross-functional teams to gather requirements, define project scope, and deliver high-quality solutions
    • Mentor team members on software engineering best practices, AI methodologies, and cloud deployment strategies
    • Ensure solution quality through testing, debugging, performance optimization, and documentation
    • Stay updated on emerging AI technologies and incorporate innovative approaches into products and solutions

    Requirements

    • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field
    • Minimum 5 years of professional experience in AI/ML Engineering
    • Strong programming expertise in Python and Java
    • Proven hands-on experience building RAG-based chatbots or similar Generative AI applications
    • Strong proficiency with cloud platforms, particularly AWS and Azure
    • Solid understanding of AI concepts, including NLP, vector databases, embedding models, and Large Language Model (LLM) integrations
    • Experience leading projects or teams and managing technical deliverables
    • AWS Certifications such as AWS Solutions Architect or AWS Machine Learning Specialty are preferred
    • Experience with AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar tools
    • Familiarity with Agile development methodologies
    • Excellent communication, analytical, and problem-solving skills


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    AgileIOTCloud Deploymentagile developmentcloud platformsamazon web servicesChatbotai technologiesintegrationsdebuggingdeploymentcloudJavaDeep LearningMicrosoft AzureLangchainGenerative AiData ScienceArtificial Intelligence

    Section · Company

    About Ciklum

    Ciklum logo

    Ciklum

    IT Services & Consulting

    451

    employees

    2002

    24 years old

    London, England

    United Kingdom

    About

    Experience Engineering firm delivering innovative digital solutions and AI-driven technologies to address complex business challenges.

    Industries

    IT Services & ConsultingReal EstateTelecomFinTechEdTech

    Employee ratings

    177 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    3.3

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance16Senior Management14Salary14Work Culture11Learning10

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