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Position : AI / ML engineer
Experience Required : 0-1 Years
Location : Chandani Chowk, Pune
Employment Type : Full time
Job Description : Develop and implement AI / ML models and pipelines.
- Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA), CNNs, RNNs, and Attention-based LSTMs.
- Fine-tune and optimize Large Language Models (LLMs) for production.
- Design AI-driven solutions using agent workflows, MCPs (Model Context Protocols), and AI agentic frameworks (LangFlow, Langchain, N8N, etc.).
- Leverage NLP techniques such as text summarization, NER, semantic search, and multilingual translation.
- Implement ML pipelines and deploy solutions on AWS / GCP / Azure.
- Collaborate with cross-functional teams to integrate AI into enterprise applications.
- Stay updated with the latest AI advancements and apply them to improve model accuracy, scalability, and efficiency.
Required Skills & Qualifications
Hands-on experience in AI / ML, Deep Learning, and Generative AI.Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).Hands-on experience with RNNs, Attention LSTMs, and Transformers (BERT, GPT, T5, LLaMA).Experience with AI agent workflows, MCP-based integrations, and orchestration tools.Proficiency in working with agentic frameworks like LangFlow, N8N, Haystack, or equivalent.Knowledge of vector databases, retrieval-augmented generation (RAG), and MLOps.Strong expertise in model deployment with Docker, Kubernetes, and cloud platforms (AWS / GCP / Azure).Excellent problem-solving skills, collaborative mindset, and ability to work in fast-paced agile environments..aol-progress{background-color : #ddd}.aol-progress-count{background-color : #222}.aol-progress-counter{color : #888}Full NamePhoneEmailCurrent Employment Status?Year Of PassoutTotal year Of ExperienceRelevant Year Of ExperienceCurrent Annual salaryPrimary SkillSecondary SkillEducationResume UploadMessageFields with (
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