Senior Artificial Intelligence/Machine Learning Engineer

Ciklum India

Chennai District

On-site

INR 2,500,000 - 5,000,000

Full time

14 days+

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Benefits offered by this job

Company-paid medical insurance
Mental health support
Financial & legal consultations
Udemy access

Job summary

Ciklum is seeking a Senior Artificial Intelligence/Machine Learning Engineer to join our India team in a full‑time capacity. You will lead end‑to‑end AI system design, focusing on LLM‑driven applications and RAG, partnering with product and data teams.

The role requires 8+ years in software/AI with strong Python and ML framework expertise, cloud AI stacks, and governance around security and privacy. You will mentor juniors and deliver production‑grade AI solutions.

Qualifications

  • 8+ years in software, data, or AI engineering with 3–4 years building AI/ML solutions.
  • BSc, MSc, or PhD in CS/Math or related quantitative field with strong ML foundations.
  • Proven track record with LLMs, multimodal AI, RAG, and agentic systems.
  • Expert Python and ML frameworks: PyTorch, TensorFlow; familiarity with LangChain & Hugging Face.
  • Cloud-native AI stacks (AWS SageMaker, Azure ML, GCP Vertex AI) and enterprise data platforms.
  • CI/CD, model versioning, observability, and evaluation methods (CRISP-ML(Q)).
  • End-to-end AI delivery: data ingestion to production-grade model serving.
  • Ability to handle text, image, and audio modalities; time-series forecasting & anomaly detection.
  • Governance & security: privacy (GDPR/CCPA) and ethical AI in enterprise design.

Responsibilities

  • Lead end-to-end design and deployment of scalable AI systems, including LLM-driven apps and RAG.
  • Serve as technical authority for clients ensuring enterprise-grade performance and security.
  • Hands-on development from exploration to production implementation.
  • Act as Technical SME during discovery, translating challenges into AI roadmaps.
  • Establish LLMOps practices: CI/CD, model observability, automated evaluation.
  • Collaborate with Product and Data teams; mentor junior engineers through code reviews.

Skills

Python
LLM Architectures
Cross-functional leadership
MLOps & CI/CD
Model observability

Education

BSc/MSc/PhD in CS or Mathematics or related quantitative field

Tools

AWS SageMaker
Azure ML
GCP Vertex AI
PyTorch
TensorFlow
LangChain
Hugging Face

Job description

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.

Responsibilities:
  • System Architecture: Lead the end‑to‑end design and deployment of scalable AI systems, specifically focusing on LLM‑driven applications, Multi‑Agent systems, and Retrieval‑Augmented Generation (RAG)
  • Technical Governance: Serve as the primary technical authority for clients, ensuring all AI solutions meet enterprise‑grade standards for performance, security, and reliability
  • Hands‑on Development: Drive the full development lifecycle from initial experimentation and rapid prototyping to production‑grade implementation
  • Strategic Presales: Act as a Technical SME during discovery phases, translating business challenges into viable AI roadmaps and engineering solutions
  • Operational Excellence (LLMOps): Establish best practices for CI/CD, model observability, and automated evaluation to ensure continuous improvement of deployed models
  • Cross‑Functional Leadership: Collaborate with Product and Data teams to align technical delivery with business KPIs, while mentoring junior engineers through code reviews and internal workshops
Requirements:
  • Professional Background: 8+ years in software, data, or AI engineering, featuring at least 3–4 years of direct experience architecting and implementing AI/ML solutions
  • Academic Foundation: BSc, MSc, or PhD in Computer Science, Mathematics, or a related quantitative field, with a deep command of probability, statistics, and machine learning optimization
  • AI & Generative AI Expertise: Proven track record in building and deploying advanced AI systems, including Large Language Models (LLMs), Multimodal architectures, RAG, and Agentic systems
  • Engineering Proficiency: Expert‑level Python skills and mastery of frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face
  • Cloud & Infrastructure: Hands‑on experience with cloud‑native AI stacks (AWS SageMaker, Azure ML, or GCP Vertex AI) and enterprise data platforms
  • Operational Excellence (LLMOps): Proficiency in modern AI engineering practices, including CI/CD, model versioning, observability, and evaluation methodologies (e.g., CRISP-ML(Q))
  • Full‑Stack AI Delivery: Experience architecting end‑to‑end pipelines—from data ingestion and API integration to production‑grade model serving and optimization
  • Data Sophistication: Ability to handle diverse modalities (text, image, audio) and complex scenarios such as time‑series forecasting and anomaly detection
  • Governance & Security: Strong understanding of security, data privacy (GDPR/CCPA), and ethical AI frameworks within enterprise system design
What’s in it for you?
  • 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
About Us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting‑edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game‑changing solutions and take your career to the next level.

Explore, empower, engineer with Ciklum!
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