35 R Language jobs in Pakistan

Job Description
Translation Empire PK is looking for a dedicated NLP Engineer to develop advanced language processing tools and solutions. This role involves working on natural language understanding, generation, translation, and chatbot systems.

Key Responsibilities:

• Build NLP pipelines for classification, summarization, and translation.
• Fine-tune large language models for task-specific applications.
• Perform linguistic analysis and corpus preparation.
• Contribute to AI chatbot development and multilingual processing.
• Evaluate and improve NLP model accuracy and bias handling.

Qualification and Experience:

• Bachelor’s or Master’s in Computational Linguistics, AI, or related field.
• 2+ years of hands-on experience with NLP models and tools.
• Proficiency with Hugging Face, spaCy, NLTK, or similar.
• Experience with transformer models and multilingual NLP.

Certification:
Preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Job Description
Translation Empire PK is looking for a dedicated NLP Engineer to develop advanced language processing tools and solutions. This role involves working on natural language understanding, generation, translation, and chatbot systems.

Key Responsibilities:

• Build NLP pipelines for classification, summarization, and translation.
• Fine-tune large language models for task-specific applications.
• Perform linguistic analysis and corpus preparation.
• Contribute to AI chatbot development and multilingual processing.
• Evaluate and improve NLP model accuracy and bias handling.

Qualification and Experience:

• Bachelor’s or Master’s in Computational Linguistics, AI, or related field.
• 2+ years of hands-on experience with NLP models and tools.
• Proficiency with Hugging Face, spaCy, NLTK, or similar.
• Experience with transformer models and multilingual NLP.

Certification:
Preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Karachi

Remote

One-year contractual role

We are seeking a talented Data Scientist with strong expertise in SAS Viya and significant experience in
the banking and telecom sectors. In this role, you will leverage advanced analytics and machine learning
techniques to derive actionable insights from large datasets, optimizing business decisions and
strategies. Your knowledge of SAS Viya, along with your domain expertise, will be essential for
developing predictive models, improving customer experience, and enhancing operational efficiency.

Description

• Develop, implement, and fine-tune predictive and statistical models using SAS Viya to address
  business needs, with a focus on customer segmentation, churn prediction, fraud detection, and
  risk management in the banking and telecom sectors.
• Conduct deep data analysis and feature engineering to uncover patterns, trends, and insights
  that drive business strategies in banking and telecom operations.
• Integrate and process large datasets from various sources (e.g., transactional data, customer
  behavior data, financial data) and leverage SAS Viya’s cloud-native capabilities for scalable data
  processing and analysis.
  
• Apply machine learning algorithms and artificial intelligence techniques to develop models that
  enhance customer experience, optimize marketing campaigns, and improve operational
  efficiency.
• Present findings and insights through clear and actionable visualizations and reports using SAS
  Visual Analytics and other reporting tools, making complex data accessible to stakeholders.
• Continuously improve model performance by fine-tuning algorithms and optimizing data
  workflows to handle large volumes of data efficiently.

Requirements

• 5+ years of experience as a Data Scientist with a strong background in SAS Viya and experience
  working in banking and telecom sectors.
• Strong proficiency in SAS Viya (including SAS Visual Analytics, SAS Visual Data Mining and
  Machine Learning, and SAS Cloud Analytics).
• Experience with predictive modeling, statistical analysis, and machine learning algorithms in
  both sectors.
• Excellent communication skills, with the ability to translate technical findings into business
  insights for non-technical stakeholders.

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.