
Quation Solution
7 days ago
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.
- 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.
- 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.
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
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