Turbotech GBS

AI/ML Engineer

Turbotech GBS
Bengaluru Not disclosed
Yesterday
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About the job

Job Title: AI/ML Engineer Location: Bangalore / Mangalore Type: Full-Time Experience: 5+ years About the Role We are seeking an experienced AI/ML Engineer to design, develop, and deploy advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in building scalable ML systems, working with generative AI models, and implementing end-to-end AI pipelines. This role offers the opportunity to work on cutting-edge technologies and deliver impactful solutions across diverse problem statements. Roles and Responsibilities • Design and implement ML models for classification, regression, clustering, NLP, and computer vision. • Build and maintain scalable ML pipelines for training, validation, and deployment. • Optimize model performance and ensure production-grade robustness. • Build, fine-tune, and evaluate Large Language Models (LLMs) for tasks such as summarization, Q&A, content generation, and code synthesis. • Work with relational knowledge graphs to model complex data relationships. • Apply declarative logic and reasoning frameworks for insights from structured data. • Integrate AI models into production systems using APIs or microservices. • Collaborate with DevOps/ML-Ops teams for automated deployment and monitoring. • Ensure model explainability, fairness, and adherence to ethical AI practices. • Work cross-functionally with product, analytics, and engineering teams. • Document model architecture, data pipelines, and performance metrics. • Participate in code reviews and define best practices for AI/ML development. Required Skills • Proficiency in Python, PyTorch/TensorFlow, and Hugging Face Transformers. • Experience with Generative AI models (e.g., GPT, LLaMA, Claude, DALL·E). • Strong understanding of NLP, deep learning, and model evaluation techniques. • Expertise in relational data modeling and knowledge graph tools (SQL, RDF, SPARQL, RelationalAI). • Hands-on experience with Vector Databases (FAISS, Pinecone) and RAG frameworks. • Familiarity with LangChain, LlamaIndex, or similar orchestration tools. • Experience with Streamlit, Gradio, Flask for prototyping. • Cloud exposure: AWS / Azure. • Understanding of CI/CD, Docker, Kubernetes for ML deployments. • Strong communication and collaboration skills. Required Experience • 5+ years of relevant experience in AI/ML engineering or related roles. • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. If you are keen on the role and match the requirements, please share your updated resume and CTC details at: raina.dubey@turbotechgbs.com/team@turbotechgbs.com. For queries, please reach at: +91 9773895515

Requirements

  • Machine Learning
  • AI Solutions
  • Data Pipeline Development

Qualifications

  • Bachelor’s or Master’s degree in Computer Science

Preferred Technologies

  • Machine Learning
  • AI Solutions
  • Data Pipeline Development

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