9 Nlp Engineer 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 looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
  
  

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
• Proven track record of successfully leading and delivering large-scale data science projects that drive business value
• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
• Strong project management skills and ability to lead teams in a fast-paced environment
• Excellent analytical and strategic thinking skills, with a focus on results
• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
  
  

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

About PhazeRo

PhazeRo is a forefront leader in data science and technology solutions, delivering powerful analytics and transformative insights across various industries. We pride ourselves on a culture that nurtures innovation, collaboration, and intellectual growth. By joining PhazeRo, you will have the opportunity to shape the direction of cutting-edge data strategies and lead a talented team eager to drive impactful outcomes.

Position Overview

We are seeking a Head of Data Science to lead our data science initiatives and strategically drive our analytics capabilities. In this role, you will oversee the entire data science function, setting the vision and strategy while ensuring the delivery of high-quality data-driven solutions. You will collaborate closely with cross-functional teams to identify opportunities where data science can add value and effectively communicate insights to stakeholders at all levels.

Key Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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.

Stage de 6 mois à pourvoir à partir de septembre 2025.

L'activité Parfums Beauté affirme sa singularité à travers une promesse : celle de révéler la beauté de chaque femme dans ce qu'elle a de plus singulier à travers son parfum, son maquillage et ses produits de soin. Cette philosophie est largement héritée de Mademoiselle Chanel, qui a toujours œuvré pour affirmer sa propre indépendance et celle de toutes les femmes.

Au sein du pôle IA à la Direction des Systèmes d’Information de CHANEL Parfums et Beauté, vous participerez à des projets innovants en exploitant des techniques avancées de machine learning et d'analyse de données pour optimiser nos processus et améliorer nos prises de décision.

Les outils d’IA sont de plus en plus utilisés les directions business. Le pôle IA a pour vocation à : accompagner les équipes business sur le choix de leurs fournisseurs; développer, le cas échéant, une solution interne. C’est sur ce deuxième axe que portera le stage.

Dans ce cadre, vos missions principales sont :

• Collecter, nettoyer et préparer les données nécessaires pour l'analyse.
• Développer et mettre en œuvre des modèles de machine learning pour résoudre des problèmes spécifiques en collaboration avec les autres data scientists de l’équipe.
• Évaluer la performance des modèles et itérer pour améliorer leur précision.
• Communiquer de manière claire les résultats et les recommandations aux parties prenantes.
• Participer à la veille technologique.

• Étudiant(e) en data science, informatique, statistiques ou domaine similaire.
• Maîtrise de Python, R, SQL et des bibliothèques de machine learning.
• Expérience en analyse de données et visualisation (Pandas, Matplotlib).
• Capacité à résoudre des problèmes et à travailler en équipe.
• Intérêt pour l'IA et les applications industrielles.
• Proactive et autonome.

• Tout au long de votre expérience, vous serez immergé.e dans un environnement dynamique, innovant et apprenant ; où la création et l’humain sont au cœur des préoccupations.
• Vous rejoignez une activité singulière, aux méthodes et procédés uniques - qu’ils soient créatifs, de développement ou d’industrialisation - et évoluez aux côtés d’une diversité d’experts aux savoir-faire reconnus.
• Afin de faciliter votre intégration, vous bénéficierez d’un parcours d’intégration complet incluant notamment une formation à l’histoire et aux produits de CHANEL Parfums Beauté.

Poste basé à Neuilly-sur-Seine.

De la singularité de chacun naît la richesse de nos équipes. CHANEL valorise la diversité sous toutes ses formes.

Job Summary

We are seeking an AI Engineer with expertise in Natural Language Processing (NLP) and experience in fine-tuning Large Language Models (LLMs). The ideal candidate will have a strong background in Python programming and a minimum of 2 years of experience working with LLMs. This role involves hands-on development of 5-10 business use cases that enhance user experiences and drive business efficiency.

Responsibilities

• Develop and fine-tune Large Language Models (LLMs) to improve performance in NLP tasks.
• Design and implement NLP solutions to address specific business needs.
• Collaborate with cross-functional teams to identify and prioritize business use cases for NLP applications.
• Create and deploy machine learning models to streamline routine business operations and deliver value to users.
• Stay up-to-date with industry trends and advancements in NLP and LLM technologies.

Requirements

• Proficiency in Python programming.
• Experience in fine-tuning Large Language Models (LLMs).
• Hands-on experience in developing 5-10 business use cases that deliver measurable value.
• Strong understanding of Natural Language Processing (NLP) principles and techniques.
• Ability to work independently and collaboratively as part of a team.
• Excellent communication and problem-solving skills.

Experience

• Minimum of 2 years of experience in Python programming and working with LLMs.
• Demonstrated experience in developing practical NLP solutions for business use cases.

Education

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Additional certifications in AI, NLP, or related fields are a plus.

Language

• Fluent in English / Arabic Speaker (prefer Omani National)

• 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

About PhazeRo

At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.

Position Overview

We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.

Key Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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.

Representation Learning | Long Context Sequence Modeling | Tabular Data | Statistics | Software Engineering | Biological Systems | Genomics Fully remote | Top quartile salary | Stock options | 401K | Health, dental and vision insurance

We are no longer hiring for this role, but please feel free to reach out if you are interested in joining our talent pool.

We are hiring an ML research engineer to interface large-scale representation learning methods with experimental genomic and transcriptomic datasets. Fully remote.

Join a team of world-leading experts in this domain and help drive the field forward as we tackle a problem space only recently made tractable by advances in ML and HPC.

• Use your expertise to develop foundational models based on biological and biochemical data corpuses for applications in early stage drug discovery
• Productionalize research code and add features to state of the art models
• Implement and train baseline models for downstream tasks
• Identify, implement, and maintain model performance metrics and indicators
• Lead and/or contribute to publications in top-tier journals
• Stay up to date with relevant research and industry trends for integration into our products
• Take on a grand challenge and share our purposeful mission - we’re building a biological systems simulator that will transform how medicines are developed - you will be making it accessible and powerful for scientists and doctors, with a big downstream impact on the wellbeing of millions of patients
• Competitive compensation - A starting salary in the top quartile for role and level, based on local benchmarks
• Stock options - you are joining an early-stage startup we want you to have ‘skin in the game’ and your options package will reflect this
• Self-manage - we are a distributed-first company, working from home and collaborating asynchronously from Seattle, NY, Vermont, and Manchester

• Masters in Computer Science, Engineering, or other STEM field and 4+ years of experience in applied machine learning and software engineering
• PhD in Computer Science, Engineering, or other STEM field and 2+ years of experience in applied machine learning and software engineering
• Knowledge of statistics for scientific data (e.g. Design of Experiments)
• Experience working within the domain of biological systems
• Experienced with large scale representation learning
• Experienced with long context sequence models
• Experience with tabular data
• Experience with ML + data science libraries such as PyTorch, Pandas, Scikit-learn etc.
• Python Expertise
• Familiarity with cloud platforms like AWS
• Understanding of version control (Git) and software engineering best practices
• Experience with early-stage startups

We are on a mission to provide access to more effective medicines for millions of patients. We’re building a model of human molecular physiology for research scientists and clinicians that can answer the fundamental question, "will it work?"

Every modernized field of engineering has a systems simulator to test complex interactions in bits rather than atoms. This doesn’t yet exist for biology. Without one, drug development is expensive because risk of failure is very high; 30-60% of prescribed medicines have no clinical benefit to patients and adverse reaction to treatment is the 4th leading cause of death in the US, ahead of pulmonary disease and diabetes. Syntensor is taking on this grand challenge, developing fundamental machine learning methods and applying them at scale to biological data so every individual patient can be prescribed the most effective, least toxic treatment possible.

We are productionizing and scaling up a generalizable machine learning platform that predicts efficacy and toxicity for any drug in any indication. We are using an extensive, heterogeneous biomedical graph, novel fundamental ML methods and advanced engineering infrastructure to generate and explain model outputs for users of our app. Currently, our users are research scientists involved in drug development.

We are a small team of people with diverse skills and a shared bias towards problem solving and execution. We are inventors and builders who believe in the scientific method; feedback and iteration is essential to our process and we share our work early and often. That said, we aim high. Our mission and the domain in which we operate demand that we take on some of the hardest problems researchers, scientists, engineers and designers face, and we are determined to build technology that solves them properly and usefully for users of our platform. We are looking for talented people who are motivated by the challenge of hard problems and who are already curious about the technological, scientific or cultural domains with which we engage.

We are a distributed-first team and very relaxed about where and when work happens, but come together as a whole team weekly to sync-up. We work with intrinsic curiosity and motivation towards well defined goals (even where there are unknown unknowns). Our diversity, great communication and respectful, supportive teamwork make us highly effective.