Machine Learning Job Vacancies in Vijayawada

Job Title: Artificial Intelligence (AI) TrainerLocation: Vijayawada, Andhra PradeshExperience: 25 YearsJob Summary:We are looking for a skilled and enthusiastic AI Trainer to deliver comprehensive training programs in Artificial Intelligence and Machine Learning. The ideal candidate should have hands-on experience in Python programming, data handling, and developing AI/ML models, along with a passion for teaching and mentoring learners at various levels.Key Responsibilities:Deliver structured and engaging training sessions on AI, ML, and Data Science conceptsTeach foundational to advanced topics using Python, libraries, and ML frameworksGuide learners through hands-on projects, assignments, and case studiesDevelop course materials, coding exercises, and assessmentsConduct evaluations, mock interviews, and doubt-clearing sessionsStay updated with the latest tools, techniques, and trends in AI/MLAssist students in building real-time capstone projectsRequired Qualifications:Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related fieldStrong foundation in Python, statistics, and machine learning algorithms25 years of experience in training, development, or applied machine learning rolesExcellent communication skills and ability to explain complex concepts in simple terms

Hiring for 25 AI agent Developer Jobs in Visakhapatnam, Bhubaneswar, Hyderabad, Vijayawada, India, for Freshers,Required Educational Qualification is : Professional Degree, B.Com, B.Sc, B.Tech, M.B.A/PGDM, M.Sc with Good knowledge in An AI Agent Developer requires expertise in programming languages such as Python, Java, JavaScript, C , TypeScript, and Go. Strong knowledge of machine learning (ML), deep learning (DL), reinforcement learning (RL), and generative AI is essential. They must be proficient in large language models (LLMs), prompt engineering, model fine-tuning, supervised and unsupervised learning, transfer learning, and neural networks. Expertise in natural language processing (NLP) is crucial, including named entity recognition (NER), speech recognition, sentiment analysis, text summarization, tokenization, text-to-speech (TTS), speech-to-text (STT), and semantic search. A deep understanding of data science and engineering is needed, covering data preprocessing, feature engineering, data cleaning, statistical analysis, and time-series forecasting. Knowledge of retrieval-augmented generation (RAG), vector databases like FAISS, Pinecone, and Weaviate, knowledge graphs, hybrid search, and frameworks like LangChain and Llama Index is valuable. Proficiency in DevOps and MLOps, including Docker, Kubernetes, CI/CD pipelines, API development, cloud computing (AWS, GCP, Azure), model deployment, and serverless computing, is essential for scaling AI applications. Familiarity with AI tools and frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenAI API, Hugging Face Transformers, FastAPI, Flask, Django, and GraphQL is beneficial. A strong focus on security and compliance, including data security, privacy, GDPR, AI ethics, and bias detection, is necessary. Additionally, soft skills like problem-solving, critical thinking, communication, collaboration, and continuous learning help AI Agent Developers adapt to new challenges and innovations., AI, AI Developer etc.