Quation Solution

Job Title : Data Scientist Experience : 3 to 5 years Work Location : Bangalore Work Mode : Work From Office (WFO) Notice Period : 15 Days/Immediate Joiners Job Description: We are seeking a highly skilled and motivated Data Scientist with 3-5 years of experience to join our team. The ideal candidate will have a strong background in Machine Learning (ML), Generative AI, Python, AWS, and SQL , with experience in developing and deploying ML models and AI Models. You will play a crucial role in analyzing complex data, building predictive models, and deploying scalable AI solutions. Roles and Responsibilities: Design, develop, and deploy Machine Learning and Generative AI models for real-world applications. Work with large-scale structured and unstructured data, performing data preprocessing, feature engineering, and model optimization . Implement and optimize ML pipelines for training and inference in cloud environments, especially AWS (SageMaker, Lambda, S3, EC2, RDS, etc.) . Develop end-to-end ML solutions , including model versioning, monitoring, and retraining. Collaborate with data engineers and software developers to integrate ML models into production systems. Perform exploratory data analysis (EDA) and statistical analysis to derive insights and drive decision-making. Write efficient SQL queries for data extraction, transformation, and analysis. Stay updated with the latest advancements in AI, ML, and Generative AI technologies, applying them to business use cases. Document processes, models, and findings effectively for both technical and non-technical stakeholders. Required Skills & Qualifications: Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Hands-on experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion, LLMs,  etc.) . Experience in developing, training, and deploying ML models on AWS (SageMaker, Lambda, S3, EC2). Strong knowledge of SQL for querying and managing large datasets. Understanding of MLOps principles, CI/CD pipelines for ML, and model monitoring. Familiarity with big data technologies (Spark, Hadoop) is a plus. Strong analytical skills and the ability to derive insights from complex datasets. Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with cloud-based AI/ML services (Google Cloud AI, Azure ML, etc.). Knowledge of APIs, microservices, and containerization (Docker, Kubernetes) . Experience with deep learning architectures (CNNs, RNNs, Transformers). Strong problem-solving skills and a results-driven approach. About Quation Solution: In today's data-driven world, information is power. But raw data alone can't fuel success. At Quation, we bridge the gap. We're a data analytics consultancy with a purpose to empower brands like yours to unlock the true potential of their data. We translate complex data landscapes into clear, actionable insights that inform strategic decision-making across your entire organization. We leverage cutting-edge technology and a deep understanding of your industry to ensure our solutions are tailored to your unique challenges and opportunities. Expertise:  , Quation offers dedicated analytical solutions, including AI and ML applications, customer experience enhancement, marketing analytics, sales maximization, and pricing optimization. quation.in Industries Served:  The company caters to sectors such as retail, consumer packaged goods (CPG), manufacturing, telecommunications, healthcare, banking, finance, insurance, and technology. quation.in Location:  Office is located at 6th Floor, Tower 3, WARP SJR I Park, EPIP, opposite Sri Sathya Sai Hospital, Whitefield, Bangalore - . quation.in