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Urgent! Aptus Data Labs - Artificial Intelligence Engineer Job Opening In Bengaluru – Now Hiring Aptus Data Labs

Aptus Data Labs Artificial Intelligence Engineer



Job description

<p><p><b>Description :</b> Job Description : AI Engineer.<br/><br/> Experience : 2-4 Yrs.<br/><br/> Location : Bangalore (WFH).<br/><br/> Employment Type : Full-time.<br/><br/><b>About the Role :</b><br/><br/> We are seeking a skilled Data Scientist/AI Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP).<br/><br/> The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems.<br/><br/><b>Key Responsibilities :</b><br/><br/> - Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases.<br/><br/> - Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solving complex problems in vision, text, and structured/unstructured data.<br/><br/> - Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, conversational AI, and semantic search.<br/><br/> - Explore and implement Generative AI (LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines, etc.) to enhance existing AI/ML capabilities.<br/><br/> - Collaborate with product, engineering, and business stakeholders to translate requirements into AI-driven solutions.<br/><br/> - Work on model performance optimization (scalability, latency, explainability, accuracy).<br/><br/> - Stay up to date with emerging AI/ML and GenAI frameworks, tools, and research trends.<br/><br/><b>Required Skills & Experience :</b><br/><br/> - Having 2-4 years of experience in Data Science, AI/ML, and related fields.<br/><br/> - Strong proficiency in Python, R, or similar languages with expertise in data science libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face).<br/><br/> - Proven experience in designing and deploying ML/DL models in production.<br/><br/> - Deep knowledge of NLP techniques : embeddings, Transformers, BERT/GPT-style models, seq2seq, text generation, entity recognition.<br/><br/> - Hands-on exposure to Generative AI (e.g., OpenAI, Hugging Face, LangChain, vector databases, RAG, LLM fine-tuning).<br/><br/> - Strong knowledge of cloud platforms (AWS, Azure, GCP) for ML/AI model deployment.<br/><br/> - Solid understanding of MLOps practices (model versioning, monitoring, CI/CD pipelines).<br/><br/> - Strong analytical, problem-solving, and communication skills.<br/><br/> - Ability to work in a fast-paced, collaborative environment.<br/><br/><b>Preferred Qualifications :</b><br/><br/> - Bachelors or master's degree in computer science or data science, AI/ML, Statistics, or a related field.<br/><br/> - Experience in GenAI enterprise use cases (chatbots, content generation, code generation, knowledge retrieval).<br/><br/> - Knowledge of big data tools (Spark, Databricks, Hadoop) is a plus.<br/><br/> - Excellent communication with client facing experience.<br/><br/></p><br/></p> (ref:hirist.tech)


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