15h Left Lead Data Scientist

1 week 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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