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Job Description - Data Scientist (AI/ML & Data Engineering Focus)

Position Overview:
We are seeking a Data Scientist with robust expertise in AI/ML and Data Engineering to design data pipelines, build machine learning models, and deploy scalable AI-driven solutions. The role requires a balance of statistical analysis, machine learning expertise, and data engineering skills to transform raw data into actionable insights and intelligent systems.

Key Responsibilities:
Collect, clean, and transform large structured and unstructured datasets for analysis and model training.
Develop, train, and evaluate machine learning & deep learning models for predictive and prescriptive analytics.
Design and maintain data pipelines, ETL/ELT workflows, and real-time data processing systems.
Deploy ML models into production using MLOps practices, ensuring scalability and reliability.
Collaborate with engineers, analysts, and product managers to deliver end-to-end AI solutions.




Implement data governance, quality checks, and performance optimization for analytical workflows.
Communicate complex data insights in clear, actionable ways to both technical and non-technical stakeholders.

Required Skills & Qualifications:
Bachelor’s/Master’s in Data Science, Computer Science, AI/ML, Statistics, or related field.
Solid programming skills in Python and SQL (R/Scala is a plus).
Hands-on experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
Proficiency in big data technologies (Spark, Hadoop, Kafka) and data warehouses (Snowflake, Redshift, BigQuery).
Knowledge of cloud platforms (AWS, GCP, Azure) for AI/ML deployment.
Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
Robust grasp of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
Excellent problem-solving, critical thinking, and communication skills.

Pre

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