Talent.com
Search jobs
Search salary
Tax calculator
For employers
Sign in
Find jobs
This job offer is not available in your country.
Data Scientist - Machine Learning / Artificial Intelligence
Right Move Staffing Solutions Private Limited
Pune
14 days ago
Job description
Key Responsibilities :
Design, develop, and deploy machine learning and AI models for predictive analytics and business solutions.
Perform data preprocessing, feature engineering, and exploratory data analysis using Python, Pandas, and related tools.
Evaluate, fine-tune, and optimize model performance using best practices in ML / AI.
Build and maintain end-to-end data pipelines for seamless integration of large datasets.
Collaborate with cross-functional teams (engineering, product, and business) to translate requirements into data-driven solutions.
Implement and manage ML workflows on cloud platforms (Azure, AWS, GCP), ensuring scalability and efficiency.
Communicate insights and results effectively using visualization tools and dashboards.
Stay updated on emerging AI / ML trends, cloud technologies, and best practices to continuously improve Skills :
Machine Learning & Artificial Intelligence (AI)
Predictive Modeling & Statistical Analysis
Data Preprocessing & Feature Engineering
Model Evaluation & Optimization
Problem-Solving & Business Skills :
Programming : Python (expert), SQL (preferred)
Libraries & Frameworks : Pandas, Scikit-learn, TensorFlow, Keras (optional : PyTorch)
Cloud Platforms : Azure, AWS, GCP
Data Visualization Tools : Matplotlib, Seaborn, Plotly, Tableau / Power BI
Version Control & Collaboration : Git / GitHub
Workflow & ML Lifecycle Tools : Airflow, MLflow & Experience :
Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
5+ years of experience in data science, including building and deploying ML / AI models in production environments.
Hands-on experience with cloud-based ML pipelines and large-scale data / Success Metrics :
Accuracy, precision, recall, or other relevant performance metrics of deployed models.
Time-to-deploy and reliability of ML pipelines.
Business impact (e.g., revenue growth, cost reduction, operational efficiency).
Number of actionable insights delivered to stakeholders.
Model scalability, monitoring, and maintenance efficiency
(ref :
hirist.tech)
Create a job alert for this search
Data Scientist • Pune
Create