Role Overview :

We are seeking a highly skilled and motivated Senior Data Scientist with 3-5 years of experience in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for driving end-to-end problem-solving initiatives, from understanding the problem to developing predictive and prescriptive models, deploying solutions, and effectively communicating insights to stakeholders. Experience in time-series analysis and CAD/CAE will be considered a strong plus.

Key Responsibilities :

Problem Understanding :

- Collaborate with cross-functional teams to identify and understand business challenges.
- Translate business problems into analytical tasks and define the problem scope.

Data Exploration and Preparation :

- Collect, clean, and preprocess large datasets from multiple sources.
- Perform exploratory data analysis (EDA) to extract meaningful insights.

Model Development and Time-Series Analysis :

- Design, develop, and optimize AI/ML models to solve complex problems.
- Apply advanced techniques to analyze and forecast time-series data.
- Implement end-to-end machine learning pipelines, from data ingestion to deployment.

Deployment and Scalability :

- Build and deploy machine learning models into production environments.
- Ensure scalability,



robustness, and efficiency of deployed models.
- Implement MLOps practices for model lifecycle management.

Communication :

- Present technical findings and actionable insights to non-technical stakeholders.
- Create visualizations and reports to communicate results effectively.

Continuous Improvement :

- Stay updated with the latest advancements in AI/ML technologies.
- Experiment with new tools and techniques to enhance model performance

Experience :

- 3 - 5 years of hands-on experience in AI/ML model development, deployment, and lifecycle management.

Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related fields.

Required Skills :

Proficiency in programming languages like Python.

- Robust knowledge of machine learning algorithms, deep learning frameworks (e.g.,

TensorFlow, PyTorch), and optimization techniques.

- Experience working with time-series data analysis and forecasting techniques.
- Expertise in deploying models using cloud platforms (AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).
- Excellent communication and presentation skills to convey complex ideas clearly.

📌 Data Scientist - Artificial Intelligence/Machine Learning (India)
🏢 Skyleaf Consultants
📍 India