Senior Data Scientist
New
J
JobgetherSecurity & IT
Based in India, flexibility to collaborate across multiple time zonesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum of 5 years
- Required Skills
- PythonSQLETLKerasPyTorchTensorflowscikit-learnLangChain
Requirements
- Minimum of 5 years of professional experience designing, developing, deploying, and monitoring machine learning models in production environments.
- Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, Statistics, Operations Research, or a related technical discipline.
- Strong programming expertise in Python.
- Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.
- Solid experience with SQL and ETL processes.
- Experience with cloud-based development environments and open-source data science technologies.
- Proven ability to rapidly prototype AI solutions using large language model APIs.
- Experience evaluating scalable deployment strategies using platforms such as Amazon Bedrock, Ollama, or LangChain.
- Strong analytical thinking, problem-solving, and communication skills.
- Experience working in fast-paced, agile, or startup environments is highly desirable.
Responsibilities
- Develop, deploy, and maintain advanced machine learning, deep learning, and AI models that support business growth, enhance products, and improve customer outcomes.
- Extract, transform, and analyze large datasets to perform exploratory analysis, feature engineering, model development, and data visualization.
- Design, build, optimize, and monitor recommendation systems and other predictive models while ensuring ongoing model performance through drift detection and continuous evaluation.
- Write efficient, production-ready code, deploy models in cloud environments, conduct A/B testing, and implement data quality validation throughout the machine learning lifecycle.
- Collaborate closely with business stakeholders to identify opportunities where data science can create value, communicate technical findings, and present prototypes or proof-of-concepts to leadership and clients.
- Stay current with emerging AI and machine learning technologies, rapidly prototype solutions using frontier large language models, and evaluate scalable deployment approaches.
- Partner with global teams to deliver high-impact initiatives and continuously improve data science practices.
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