Job Title : Data Scientist Engineer
Experience : 6-10 Years
Location : Noida (Hybrid - 2 days office visit)
Job Description :
We're looking for an experienced Data Scientist Engineer with strong expertise in AI / ML, data collection, preprocessing, estimation, and architecture creation. The ideal candidate will have a strong background in machine learning and experience working with various ML frameworks and technologies.
Key Responsibilities :
- Design and implement ML models to tackle complex business challenges
- Clean, preprocess, and analyze large datasets for meaningful insights and model features
- Train and fine-tune ML models using various techniques, including deep learning and ensemble methods
- Assess model performance, optimize for accuracy, efficiency, and scalability
- Deploy ML models in production and monitor performance for reliability
- Collaborate with data scientists, engineers, and stakeholders to integrate ML solutions
- Stay updated on ML / AI advancements and contribute to internal knowledge
- Maintain comprehensive documentation for all ML models and processes
Must-Have Skills :
Experience in time-series forecasting, regression models, and classification modelsProficiency in Python, R, and data analysisLarge-size data handling with Pandas, NumPy, and MatplotlibVersion control using Git or other toolsHands-on experience with ML frameworks like TensorFlow, PyTorch, Scikit-Learn, and KerasGood knowledge of cloud platforms (AWS / Azure / GCP) and containerization using Docker and KubernetesModel selection, evaluation, deployment, data collection, preprocessing, and feature engineeringGood-to-Have Skills :
Experience with Big Data and analytics using technologies like Hadoop and SparkAdditional experience or knowledge in AI / ML technologies beyond the mentioned frameworksExperience in the BFSI and banking domainQualification : Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
What We Offer :
Competitive compensation packageOpportunity to work on high-profile projectsCollaborative and dynamic work environmentProfessional growth and development (ref : hirist.tech)