AI/ML Engineer
AI/ML Engineer
Talentjoin Crafters Hr Private LimitedQuick Apply
- Posted 2 days ago
- Over 100 applicants have applied
Job Description
Description
We are seeking an experienced AI/ML Engineer to join our dynamic team in India. The ideal candidate will have a strong background in developing and deploying machine learning models, as well as a passion for leveraging AI technologies to drive innovative solutions.
Responsibilities
- Design and implement machine learning models and algorithms to solve complex problems.
- Collaborate with cross-functional teams to gather and analyze requirements for AI/ML projects.
- Optimize and improve existing AI/ML systems for performance and scalability.
- Conduct research to stay updated on the latest AI/ML trends and technologies.
- Participate in code reviews and maintain high-quality documentation for AI/ML models.
Skills and Qualifications
- 5-9 years of experience in AI/ML engineering or related fields.
- Strong programming skills in Python, R, or Java.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with data processing and analysis using tools like Pandas, NumPy, and SQL.
- Solid understanding of algorithms, data structures, and software design principles.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Ability to work with large datasets and perform data preprocessing and feature engineering.
More Info
Key Skills
About Company
Skills:
Large Language Models (LLMs), Neural Networks, Deep learning techniques, Image processing algorithms, Cloud AI services, Generative AI models, Chatbot development
Skills:
Microservices, Python, AWS, Gcp, Azure, vector search, Pinecone, Claude, GPT, OpenSearch, LangGraph, Autogen, Mistral, RAG architectures, LangChain, CrewAI, API-based systems, LLMs, generative AI, Semantic Kernel, FAISS, Llama, LoRA, Google ADK, Weaviate, Gemini, custom embeddings, containerised deployments
Skills:
Human-in-the-Loop (HITL) feedback mechanisms, Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Data Extraction, Microservices, Ocr, Generative AI, Cloud-native AI deployments, Invoice Processing, Form Processing, Entity Recognition, Contract Intelligence, Google Document AI, Vector Databases, AI solution engineering, LLM orchestration frameworks, semantic search, Document Classification, AI APIs, Intelligent Document Processing, Contextual Retrieval
Skills:
triton , Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, embeddings, pgvector, Qdrant, Hugging Face, vector databases, Pinecone, vLLM, Llm, chunking, TGI, RAG, Weaviate