Aptus Data Labs

4 days ago

Bengaluru, India Aptus Data Labs Full time

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

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