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AI/ML Engineer
Tekwissen
posted 3+ weeks ago
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Job Description
Job Type: Full Time
Job Description:
- We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions.
- The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV).
- Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential.
- As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions.
- candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications.
Key Responsibilities:
- Research, design, and develop AI/ML solutions for real-world business applications, RAG is must.
- Collaborate with Product & Data Science teams to define core AI/ML platform features.
- Analyze business requirements and identify pre-trained models that align with use cases.
- Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex.
- Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks.
- Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference.
- Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents.
- Preprocess, clean, and analyze large datasets to train and improve AI models.
- Optimize LLM inference speed, memory efficiency, and resource utilization.
- Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure.
- Develop APIs, pipelines, and frameworks for integrating AI solutions into products.
- Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability.
- Stay updated with advancements in AI, ML, and GenAI technologies.
Required Skills & Experience:
- AI & Machine Learning: Strong experience in developing & deploying AI/ML models.
- Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization.
- NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN.
- AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex.
- Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras.
- Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment.
- Model Optimization: Experience in LLM inference optimization for speed & memory efficiency.
- Programming & Development: Proficiency in Python and experience in API development.
- Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks.
- Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation.
- Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone).
Good to Have:
- Experience with multi-modal AI (text, image, video, speech processing).
- Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton).
Employment Type: Full Time, Permanent
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