9 Deep Learning jobs in Oman

• Bachelor's degree in Computer Science or a related field.
• 1-2 years of experience in data analysis or data engineering.

Skills / Knowledge:

• Familiarity with programming languages like Python, R, or SQL.
• Solid understanding of statistical and machine learning concepts.
• Strong problem-solving and analytical skills.
• Excellent data visualization and presentation skills.
• Excellent communication and technical documentation abilities.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively and learn quickly.
• Well-developed interpersonal skills and excellent communications skills in English.
• Respect & Integrity
• Problem Solving & Decision Making

The Junior Data Science Engineer supports data analysis projects by building and maintaining models, pipelines, and tools under the guidance of senior team members.

• Assist in designing, developing, and implementing advanced data models and predictive analytics to solve business problems and drive decision-making.
• Build, maintain, and optimize scalable and efficient data pipelines to facilitate seamless data integration and processing across the organization.
• Conduct comprehensive exploratory data analysis to uncover insights, trends, and patterns, and present findings in a clear and actionable manner.
• Support the implementation and optimization of machine learning algorithms, ensuring they meet performance, accuracy, and scalability requirements.
• Work closely with cross-functional teams, including business stakeholders and senior data scientists, to understand requirements and deliver tailored data-driven solutions.
• Develop and maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and transparency.
• Prepare detailed reports and dashboards to communicate insights and progress to stakeholders.
• Stay up-to-date with emerging trends, tools, and methodologies in data science and analytics.
• Actively contribute to improving teamwork flows and adopting innovative approaches to solving challenges.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will oversee the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

1. Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
2. Develop and execute the data science strategy aligned with business objectives, ensuring data-driven insights are integrated into decision-making processes
3. Oversee the design and implementation of innovative data science projects that drive value for the organization
4. Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
5. Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
6. Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
7. Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
8. Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

1. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
2. Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
3. Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
4. Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
5. Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
6. Excellent project management skills and ability to prioritize tasks in a fast-paced environment
7. Strong analytical and problem-solving skills with attention to detail
8. Exceptional communication skills, both verbal and written, in English and Arabic
9. Proven capability to drive collaboration across teams and influence senior stakeholders

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

• Lead and mentor a dynamic team of data scientists and analysts, fostering a culture of continuous learning and innovation
• Develop and execute a comprehensive data science strategy aligned with business objectives
• Collaborate with stakeholders to define data-driven solutions and ensure project delivery meets timelines and quality standards
• Oversee the design, implementation, and evaluation of complex machine learning models and algorithms
• Bridge between technical teams and business units, effectively presenting key findings and recommendations
• Stay abreast of the latest trends and advancements in data science and technology, incorporating them into our strategy and methodologies
• Manage relationships with external partners and vendors to enhance our data science capabilities
  
  

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field
• At least 7 years of experience in data science and analytics, with a proven track record in a leadership role
• Strong expertise in machine learning, data mining, statistical analysis, and predictive modeling
• Proficiency in programming languages such as Python, R, or Scala and experience with data visualization tools
• Demonstrated experience in deploying models into production and working with big data technologies (e.g., Hadoop, Spark)
• Excellent leadership and team management skills with a focus on developing talent
• Outstanding communication skills, capable of conveying complex technical concepts to non-technical audiences
• Strong analytical and problem-solving mindset, with a passion for leveraging data to drive business outcomes
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.

• Lead and mentor a dynamic team of data scientists and analysts, fostering a culture of continuous learning and innovation
• Develop and execute a comprehensive data science strategy aligned with business objectives
• Collaborate with stakeholders to define data-driven solutions and ensure project delivery meets timelines and quality standards
• Oversee the design, implementation, and evaluation of complex machine learning models and algorithms
• Bridge between technical teams and business units, effectively presenting key findings and recommendations
• Stay abreast of the latest trends and advancements in data science and technology, incorporating them into our strategy and methodologies
• Manage relationships with external partners and vendors to enhance our data science capabilities
  
  

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field
• At least 7 years of experience in data science and analytics, with a proven track record in a leadership role
• Strong expertise in machine learning, data mining, statistical analysis, and predictive modeling
• Proficiency in programming languages such as Python, R, or Scala and experience with data visualization tools
• Demonstrated experience in deploying models into production and working with big data technologies (e.g., Hadoop, Spark)
• Excellent leadership and team management skills with a focus on developing talent
• Outstanding communication skills, capable of conveying complex technical concepts to non-technical audiences
• Strong analytical and problem-solving mindset, with a passion for leveraging data to drive business outcomes
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.

• Develop scalable machine learning models and algorithms to solve specific business problems
• Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
• Implement and optimize model deployment pipelines for production environments
• Evaluate model performance and iterate on designs to enhance accuracy and efficiency
• Research and stay current with the latest advancements in machine learning and artificial intelligence
• Document processes and communicate results effectively to stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 2+ years of experience in machine learning, data science, or related roles
• Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
• Experience in model evaluation metrics and techniques for model validation
• Strong problem-solving skills and the ability to work independently
• Excellent communication skills and a collaborative approach to work
• Passion for machine learning and eagerness to stay updated with industry trends
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

• Develop scalable machine learning models and algorithms to solve specific business problems
• Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
• Implement and optimize model deployment pipelines for production environments
• Evaluate model performance and iterate on designs to enhance accuracy and efficiency
• Research and stay current with the latest advancements in machine learning and artificial intelligence
• Document processes and communicate results effectively to stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 2+ years of experience in machine learning, data science, or related roles
• Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
• Experience in model evaluation metrics and techniques for model validation
• Strong problem-solving skills and the ability to work independently
• Excellent communication skills and a collaborative approach to work
• Passion for machine learning and eagerness to stay updated with industry trends
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

Mitratech Holdings Inc 30 July 2025 Remote

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.
For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.
As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!
Given our continued growth, we always have room for more intellect, energy, and enthusiasm - join our global team and see why it's so special to be a part of Mitratech!
Job Overview
We are seeking a highly skilled Senior Software Engineer specializing in Machine Learning, with a focus on Natural Language Processing (NLP), to join our dynamic team. The ideal candidate will play a pivotal role in understanding business objectives and leveraging machine learning models to meet these goals effectively. This position requires a blend of expertise in data science and software engineering, along with a passion for staying at the forefront of machine learning advancements.
Essential Duties & Responsibilities:

Model Development: Understand business objectives and develop machine learning models to achieve these goals, complete with performance tracking metrics.
Data Management: Ensure data quality through rigorous verification and cleaning processes. Explore and visualize data to understand it thoroughly, identifying any distribution differences that could impact model performance in real-world applications.
Research and Data Acquisition: Proactively find and utilize available datasets online for model training purposes.
Strategy and Validation: Define and implement robust validation strategies for model evaluation.
Model Training and Tuning: Take charge of training models and fine-tuning hyperparameters to optimize performance.
Model Deployment: Skillfully deploy models to production environments, ensuring seamless integration and operational efficiency.
Industry Awareness: Maintain an up-to-date understanding of the latest developments in the machine learning field, with a keen eye on advancements in NLP.

Requirements & Skills:

ML Experimentation: A solid understanding of setting up machine learning experiments, communicating results, and managing stakeholder expectations.
Data Quality Management: Experience in verifying and ensuring data quality through comprehensive data cleaning processes.
Model Development: Proven experience in training custom models with available data and conducting rapid experimentation for proof-of-concept projects.
Technical Proficiency: Hands-on knowledge of at least one major machine learning framework, with a preference for PyTorch.
MLOps Knowledge: Familiarity with MLOps practices, including model deployment and offering machine learning models as a service, is highly desirable.
LLMs and Third-Party Services: Understanding of Large Language Models (LLMs) and third-party services, with the ability to evaluate the benefits of using these over in-house model development.

Education:

A Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

Interested in this position? Please submit your resume and cover letter through the application portal.

Get the latest tech news, tutorials, and updates delivered to your inbox.

Mitratech Holdings Inc 30 July 2025 Remote

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.
For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.
As we continue to grow, we're always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!
Given our continued growth, we always have room for more intellect, energy, and enthusiasm - join our global team and see why it's so special to be a part of Mitratech!
Job Overview
We are seeking a highly skilled Senior Software Engineer specializing in Machine Learning, with a focus on Natural Language Processing (NLP), to join our dynamic team. The ideal candidate will play a pivotal role in understanding business objectives and leveraging machine learning models to meet these goals effectively. This position requires a blend of expertise in data science and software engineering, along with a passion for staying at the forefront of machine learning advancements.
Essential Duties & Responsibilities:

Model Development: Understand business objectives and develop machine learning models to achieve these goals, complete with performance tracking metrics.
Data Management: Ensure data quality through rigorous verification and cleaning processes. Explore and visualize data to understand it thoroughly, identifying any distribution differences that could impact model performance in real-world applications.
Research and Data Acquisition: Proactively find and utilize available datasets online for model training purposes.
Strategy and Validation: Define and implement robust validation strategies for model evaluation.
Model Training and Tuning: Take charge of training models and fine-tuning hyperparameters to optimize performance.
Model Deployment: Skillfully deploy models to production environments, ensuring seamless integration and operational efficiency.
Industry Awareness: Maintain an up-to-date understanding of the latest developments in the machine learning field, with a keen eye on advancements in NLP.

Requirements & Skills:

ML Experimentation: A solid understanding of setting up machine learning experiments, communicating results, and managing stakeholder expectations.
Data Quality Management: Experience in verifying and ensuring data quality through comprehensive data cleaning processes.
Model Development: Proven experience in training custom models with available data and conducting rapid experimentation for proof-of-concept projects.
Technical Proficiency: Hands-on knowledge of at least one major machine learning framework, with a preference for PyTorch.
MLOps Knowledge: Familiarity with MLOps practices, including model deployment and offering machine learning models as a service, is highly desirable.
LLMs and Third-Party Services: Understanding of Large Language Models (LLMs) and third-party services, with the ability to evaluate the benefits of using these over in-house model development.

Education:

A Master's degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

Interested in this position? Please submit your resume and cover letter through the application portal.

Get the latest tech news, tutorials, and updates delivered to your inbox.