(15h Left) Lead Data Scientist

2 days ago

Bengaluru, India Creative Synergies Group Full time

Experience Range - 6 to 10 Years Location - Whitefield Bangalore Data Scientist - Key Responsibilities: - Design, build, and deploy machine learning models for predictive maintenance, process optimization, demand forecasting, and asset performance management. - Work with large-scale datasets sourced from industrial systems to derive insights and inform strategic decisions. - Develop and manage data pipelines for ingestion, transformation, and storage using tools such as Apache Spark, Airflow, or Kafka. - Collaborate with domain experts to frame data science problems relevant to operations, manufacturing processes, logistics systems. - Perform Exploratory data Analysis to understand data patterns and data readiness for Machine learning use cases. - Deploy models in cloud or hybrid environments and monitor performance using MLOps best practices. - Build and maintain visual dashboards and analytics reports using Power BI, Tableau, or Python-based frameworks. - Communicate insights effectively to business and technical stakeholders. - Apply generative AI and large language models (LLMs) to industrial data for document automation, decision support, and workflow optimization. Technical Skills: - Strong proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.). - Experience in Computer vison, Image processing, NLP and multi model techniques. - Experience with data wrangling and processing large datasets using SQL, Pandas, Spark, or similar. - Solid understanding of machine learning, time-series forecasting, statistical modelling, and MLOps practices. - Experience with LLM fine-tuning, vector databases, or industrial NLP applications. - Experience deploying models on cloud platforms (AWS, Azure, or GCP) using tools such as SageMaker, Vertex AI, or Databricks. - Familiarity with data from industrial systems - Hands-on with visualization tools (e.G., Power BI, Tableau). - Certifications: Relevant certifications in Cloud-based Architecture (AWS, Azure, or GCP) are a plus.

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