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Ciklum

Senior AI & ML Engineer

Ciklum

Pune, Maharashtra, India (Hybrid) · ಪೂರ್ಣ ಸಮಯ

ಅರ್ಜಿ ಸಲ್ಲಿಸುವವರಲ್ಲಿ ಮೊದಲಿಗರಾಗಿರಿ

ಅನುಭವ
6+ ವರ್ಷಗಳು
ಸಂಬಳ
ತೆರೆಯುವಿಕೆಗಳು
1
ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
10 ಗಂಟೆಗಳ ಹಿಂದೆ
ಕೆಲಸದ ಮೋಡ್
ಹೈಬ್ರಿಡ್
ವಿದ್ಯಾಭ್ಯಾಸ
B.Tech / B.E. / B.Ed
ಅರ್ಹತೆ
Candidates with a B.Tech / B.E. in any specialization or a B.Ed in any specialization can apply. The role is intended for experienced AI/ML professionals.
ಪುನರಾರಂಭ
ಅರ್ಜಿ ಸಲ್ಲಿಸಲು ಕಡ್ಡಾಯ

ನೀವು ಎಲ್ಲಿ ಕೆಲಸ ಮಾಡುತ್ತೀರಿ

ಕೆಲಸದ ವಿವರ

About the company

Ciklum is a global digital engineering and software services organization that works with large enterprises and fast-growing startups to solve complex business problems. With a worldwide team of 4,000+ specialists, the company builds custom technology solutions that support digital transformation across industries.

Role overview

Ciklum is hiring a Senior Artificial Intelligence / Machine Learning Engineer for a full-time role in India. The position calls for 6+ years of hands-on AI/ML engineering experience, strong Python expertise, and practical work with embedding pipelines, retrieval-augmented generation (RAG), and multilingual NLP models. You will partner closely with the AI/ML lead to design, build, and improve pipelines that support knowledge generation and retrieval in multiple languages.

Responsibilities

  • Work on the retrieval and generation pipeline under the AI/ML lead's direction.
  • Design, build, and refine embedding workflows to produce reliable vector representations.
  • Create and improve the draft-to-publish knowledge base article generation flow, including confidence scoring.
  • Maintain strong multilingual quality across all approved Phase 1 languages.
  • Develop retrieval evaluation harnesses to assess pipeline effectiveness.
  • Prepare the foundation for Phase 2 LLM tuning, including fine-tuning approaches and evaluation measures.

Requirements

  • At least 6 years of experience in AI/ML engineering.
  • Strong Python skills for machine learning and data processing work.
  • Practical experience with embedding pipelines and RAG generation loops.
  • Familiarity with vector databases such as Qdrant or pgvector.
  • Experience in applied NLP, preferably with multilingual models.
  • Hands-on exposure to integrating LLM APIs.
  • Good understanding of ML evaluation techniques and confidence scoring.

Desirable attributes

  • Strong analytical thinking and problem-solving ability.
  • Comfort working with leads and cross-functional teams.
  • Experience building or supporting large-scale knowledge systems.
  • Interest in applying AI/ML to real enterprise use cases.

Work model and location

This role follows a hybrid arrangement, with 12 days per month required in the office. The Pune office is located at M-Connect, 3rd Floor, Plot no (1+2), Bavdhan Khrud, Taluka-Mulshi, District-Pune-411021, India. A Chennai office is also mentioned at RMZ Millinea Campus 5, Campus-1a, RMZ Millenia, Phase II, Kodandarama Nagar, Perungudi, Chennai, Tamil Nadu.

Benefits

  • Work with experienced professionals in a supportive, open environment.
  • Take part in large-scale projects with international impact and room for professional growth.
  • Access internal learning opportunities such as meetups, conferences, workshops, Udemy, language courses, and company-funded certifications.
  • Explore different domains through internal mobility and gain experience with modern technologies.
  • Receive company-paid medical insurance, mental health support, and financial and legal consultations.

About Ciklum

Ciklum focuses on innovation, collaboration, and building solutions that matter. The India team is positioned as a key innovation hub, with expanding work in Chennai and Pune across areas such as EdgeTech, AR/VR, and IoT. The company emphasizes a one-team culture and encourages employees to grow by contributing to impactful projects.

Additional information

This is a full-time position in India. The role is intended for a candidate who can contribute to AI/ML pipeline development, knowledge generation systems, and multilingual model quality improvements.

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