Data Scientist

Job Title: Data Scientist

Job Type: Contract

Contract Duration: 12months

Initial 6 Months: 100% Remote for remote period package is 1.25 LPM 

Then Onsite in Dubai - Client will directly discuss



Required Experience: 5 to 6+ years

NOTE: Immediate joiners required

Key Responsibilities:

• Data Cleaning and Preprocessing: Perform data cleaning, transformation, and preprocessing to ensure high-quality datasets for analysis and modelling.

• Machine Learning Algorithms: Develop and implement machine learning models using algorithms such as Random Forest, XGBoost, and others to solve complex problems.

• Forecasting: Utilize statistical and machine learning techniques for time series forecasting and predictive analytics.

• Python Programming: Leverage Python packages such as scikit-learn, pandas, and others for data analysis, modelling, and visualization.

• Artificial Intelligence: Apply AI techniques in computer vision, natural language processing (NLP), and generative AI using models like transformers and BERT. Incorporate prompt engineering and retrieval-augmented generation (RAG) applications.

• Cloud Computing: Deploy and manage machine learning and AI models on cloud platforms such as Azure or AWS, utilizing cognitive services.

• Database Management: Work with SQL and NoSQL databases, including Amazon Redshift and vector stores/DBs, to store, retrieve, and manage data efficiently.

• Model Development and Deployment: Develop, test, and deploy machine learning and AI models, ensuring scalability and performance. Implement REST APIs using SOAP, Flask, Swagger, and Postman.

• Data Visualization: Create insightful visualizations and dashboards using tools like Power BI or Tableau.

• MLOps: Design and implement MLOps pipelines for continuous integration, continuous deployment (CI/CD), and monitoring of machine learning models. Ensure seamless deployment of models on cloud platforms and maintain robust pipelines for model updates and management.

• Research and Innovation: Stay updated with the latest research and advancements in data science, AI, and machine learning to continuously improve solutions.

• Certifications: Maintain relevant certifications to demonstrate expertise and commitment to professional development.

Qualifications:

• Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field.

• Proven experience in data cleaning, preprocessing, and analysis.

• Strong proficiency in machine learning algorithms, including Random Forest and XGBoost.

• Experience with time series forecasting and predictive analytics.

• Proficient in Python and relevant libraries (scikit-learn, pandas, etc.).

• Knowledge of AI techniques in computer vision, NLP, and generative AI (transformers, BERT).

• Experience with prompt engineering and RAG applications.

• Experience with cloud platforms (Azure, AWS) and cognitive services.

• Familiarity with SQL and NoSQL databases, including Amazon Redshift and vector stores/DBs.

• Demonstrated ability to develop and deploy ML and AI models. Experience with REST APIs using SOAP, Flask, Swagger, and Postman.

• Proficiency in data visualization tools like Power BI or Tableau.

• Experience with MLOps practices, including CI/CD pipelines and model monitoring.

• Strong research skills and ability to stay current with industry trends.

• Relevant certifications in data science, machine learning, or cloud computing.