575 Nlp Engineer jobs in Bahrain
Lead AI Engineer - NLP
715 Busaiteen, Muharraq
BHD150000 Annually
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Our client is seeking an accomplished Lead AI Engineer with specialized expertise in Natural Language Processing (NLP) to drive innovation in their AI research and development division. This senior role will be instrumental in designing, developing, and deploying advanced AI models and solutions that leverage cutting-edge NLP techniques. You will lead a team of talented AI researchers and engineers, guiding them through the entire development lifecycle, from conceptualization to production deployment. Key responsibilities include developing sophisticated language models, building robust NLP pipelines for text analysis and generation, and optimizing model performance for various applications, such as chatbots, sentiment analysis, and machine translation. The ideal candidate will possess a deep understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and extensive experience with NLP libraries and tools (e.g., NLTK, SpaCy, Hugging Face Transformers). Proven experience in leading AI projects, managing technical teams, and a strong publication record in AI/ML or related conferences are highly valued. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a minimum of 7 years of relevant industry experience. Excellent problem-solving skills, a strong grasp of software engineering best practices, and exceptional communication abilities are essential for collaborating with cross-functional teams and presenting technical findings. This is a unique opportunity to shape the future of AI and make a significant impact in a rapidly evolving technological landscape. Join our client in **Busaiteen, Muharraq, BH**, and lead the next wave of AI innovation.
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0
Data Science Manager
Manama, Capital
SWATX
Posted 6 days ago
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Data Science Manager
4 weeks ago Be among the first 25 applicants
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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing 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.
Responsibilities:
- Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
- Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
- Oversee the design and implementation of innovative data science projects that drive value for the organization
- Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
- Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
- Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
- Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
- Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
- Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
- Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
- Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
- Excellent project management skills and ability to prioritize tasks in a fast-paced environment
- Strong analytical and problem-solving skills with attention to detail
- Exceptional communication skills, both verbal and written, in English and Arabic
- 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
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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Data Science Manager
Manama, Capital
The Family Office Company BSC (c)
Posted 6 days ago
Job Viewed
Job Description
About The Family Office Company
The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.
Job Summary
We are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.
This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.
Key Responsibilities:
Strategy & Leadership
With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations. #J-18808-Ljbffr
The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.
Job Summary
We are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.
This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.
Key Responsibilities:
Strategy & Leadership
- Define the personalization and recommendation strategy aligned with business goals and client experience vision.
- Lead, mentor, and grow a team of data scientists and machine learning engineers.
- Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
- Design, build, and deploy ML/AI models for:
- Personalized investment recommendations
- Smart content curation
- Behavioral and predictive analytics
- Funnel optimization and conversion predictions
- Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
- Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
- Architect and oversee the personalization engine powering mobile, web, and CRM systems.
- Implement real-time data processing pipelines for adaptive personalization.
- Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
- Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
- Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
- Strong product sense with a deep understanding of client behavior in digital financial services.
- A passion for using data to improve lives and decision-making for HNW individuals.
- Strategic and hands-on: able to drive vision and execute technical implementation.
- Collaborative leadership and stakeholder communication skills.
- Highly analytical with strong attention to detail and data integrity.
- Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
- 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
- Proven experience developing personalization and recommendation systems at scale.
- Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
- Background in fintech, wealth management, or e-commerce personalization is a strong plus
With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations. #J-18808-Ljbffr
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2
Data Science Manager
Manama, Capital
The Family Office Company
Posted 10 days ago
Job Viewed
Job Description
About The Family Office Company
The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.
Job SummaryWe are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.
This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.
Key Responsibilities: Strategy & Leadership- Define the personalization and recommendation strategy aligned with business goals and client experience vision.
- Lead, mentor, and grow a team of data scientists and machine learning engineers.
- Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
- Design, build, and deploy ML/AI models for:
- Personalized investment recommendations
- Smart content curation
- Behavioral and predictive analytics
- Funnel optimization and conversion predictions
- Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
- Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
- Architect and oversee the personalization engine powering mobile, web, and CRM systems.
- Implement real-time data processing pipelines for adaptive personalization.
- Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
- Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
- Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
- Strong product sense with a deep understanding of client behavior in digital financial services.
- A passion for using data to improve lives and decision-making for HNW individuals.
- Strategic and hands-on: able to drive vision and execute technical implementation.
- Collaborative leadership and stakeholder communication skills.
- Highly analytical with strong attention to detail and data integrity.
- Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
- 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
- Proven experience developing personalization and recommendation systems at scale.
- Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
- Background in fintech, wealth management, or e-commerce personalization is a strong plus
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3
Data Science Apprentice
00410 Bilad Al Qadeem, Capital
BHD25000 Annually
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Our client, a rapidly growing e-commerce startup located in **Sitra, Capital, BH**, is offering a unique Data Science Apprentice opportunity for motivated individuals eager to launch a career in data analytics and machine learning. This program provides hands-on training and mentorship, allowing apprentices to contribute to real-world projects while developing essential skills. You will gain practical experience in data cleaning, exploratory data analysis, feature engineering, and building predictive models using various statistical and machine learning techniques. Responsibilities include assisting senior data scientists in data gathering and preparation, running experiments, visualizing data to identify trends, and supporting the development of data-driven insights to optimize business operations and customer experiences. The ideal candidate will have a strong academic foundation in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or Engineering, with a demonstrable passion for data. Basic proficiency in a programming language like Python or R is preferred. Excellent analytical and problem-solving skills, a keen eye for detail, and a strong desire to learn are essential. While prior work experience in data science is not required, a strong portfolio of personal projects or academic research involving data analysis is a plus. Apprentices will receive comprehensive training in industry-standard tools and methodologies. This is an exceptional entry-level opportunity to immerse yourself in the exciting field of data science within a dynamic and supportive environment in **Sitra, Capital, BH**, and to build a strong foundation for a successful career.
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4
AI/Machine Learning Engineer - Data Science
1301 Busaiteen, Muharraq
BHD90000 Annually
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Posted today
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Job Description
Our client, a forward-thinking technology firm at the forefront of AI innovation, is seeking a highly skilled AI/Machine Learning Engineer to contribute to cutting-edge projects. This position is based in the tech hub of A'ali, Northern, BH , and offers a fully remote working arrangement. The AI/Machine Learning Engineer will be responsible for designing, developing, and deploying advanced machine learning models and AI solutions that solve complex business problems. Key responsibilities include data preprocessing and feature engineering, building and training predictive models using various algorithms, evaluating model performance, and implementing scalable AI systems. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into technical solutions. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, with a strong academic record and practical experience. Proven experience in developing and implementing machine learning algorithms (e.g., regression, classification, clustering, deep learning) using frameworks such as TensorFlow, PyTorch, or scikit-learn is required. Proficiency in programming languages like Python or R, along with experience in big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP), is essential. Strong understanding of natural language processing (NLP), computer vision, or reinforcement learning is a plus. Excellent problem-solving skills, a passion for innovation, and the ability to work independently in a remote setting are crucial. This is an exceptional opportunity to work on challenging AI projects, contribute to groundbreaking research, and grow your career in a rapidly evolving field.
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5
Senior AI Engineer - NLP Focus
5015 Saar, Northern
BHD110000 Annually
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Posted today
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Job Description
Our client is seeking a highly skilled and innovative Senior AI Engineer with a specialization in Natural Language Processing (NLP) to join their advanced technology division in Saar, Northern, BH . This role is crucial for developing and deploying sophisticated NLP solutions that enhance customer experience, automate processes, and unlock insights from unstructured text data. The ideal candidate will have a Master's or Ph.D. in Computer Science, AI, or a related field, coupled with proven experience in building and deploying production-ready NLP models and systems. You will be responsible for architecting NLP pipelines, implementing state-of-the-art algorithms, and ensuring the scalability and reliability of AI services. This position involves working with large datasets, leveraging frameworks like TensorFlow or PyTorch, and utilizing libraries such as NLTK, spaCy, or Hugging Face Transformers. The Senior AI Engineer will collaborate closely with product managers, data scientists, and other engineers to define requirements, iterate on models, and integrate NLP capabilities into various applications. A strong understanding of machine learning principles, data structures, and software engineering best practices is essential. You will also play a key role in evaluating new NLP technologies and contributing to the company's AI strategy. This is an exciting opportunity to work on challenging problems and make a significant impact in the field of applied AI.
Responsibilities:
Responsibilities:
- Design, develop, and deploy NLP models and applications.
- Build and optimize NLP pipelines for various use cases (e.g., sentiment analysis, text classification, named entity recognition).
- Implement and fine-tune state-of-the-art NLP algorithms and deep learning models.
- Work with large text datasets, ensuring data quality and preprocessing.
- Collaborate with cross-functional teams to define and implement NLP solutions.
- Ensure the scalability, reliability, and performance of deployed AI models.
- Stay updated with the latest research and advancements in NLP.
- Evaluate and integrate new NLP tools and technologies.
- Write clean, efficient, and maintainable code.
- Contribute to the overall AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, AI, Linguistics, or a related field with an NLP focus.
- Minimum of 5 years of experience in AI engineering, with a specialization in NLP.
- Proven experience in building and deploying production-level NLP systems.
- Expertise in Python and NLP libraries (e.g., spaCy, NLTK, Transformers, Gensim).
- Proficiency with deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of machine learning concepts and algorithms.
- Experience with data wrangling, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
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Senior Data Science Manager
Manama, Capital
SWATX
Posted 6 days ago
Job Viewed
Job Description
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
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7
Senior Data Science Manager
Manama, Capital
SWATX
Posted 7 days ago
Job Viewed
Job Description
Senior Data Science Manager
4 weeks ago Be among the first 25 applicants
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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
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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8
Junior Data Science Apprentice
201 Bilad Al Qadeem, Capital
BHD25000 Annually
WhatJobs
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Job Description
Our client is committed to nurturing emerging talent and is offering a unique opportunity for a Junior Data Science Apprentice to kickstart their career in a fully remote, supportive environment. This apprenticeship is designed for enthusiastic individuals eager to learn and contribute to data-driven decision-making processes. You will work closely with our experienced data science team, gaining hands-on experience in data cleaning, exploratory data analysis, statistical modeling, and machine learning techniques. Your responsibilities will include assisting in the preparation of datasets for analysis, developing visualizations to communicate findings, and contributing to the development of predictive models. You will be exposed to various data science tools and programming languages, such as Python and R, and learn best practices in data management and interpretation. The ideal candidate is a recent graduate with a strong foundation in mathematics, statistics, or computer science, possessing a keen analytical mind and a genuine passion for data. While prior professional experience is not required, a demonstrable interest in data science through personal projects, academic coursework, or online certifications is highly valued. Excellent problem-solving skills, attention to detail, and the ability to learn quickly in a fast-paced, remote setting are essential. You will be expected to collaborate effectively with team members virtually, participate in code reviews, and actively seek feedback to enhance your skills. This apprenticeship provides a structured learning path, mentorship from industry professionals, and the potential for a full-time role upon successful completion. If you are a motivated self-starter ready to immerse yourself in the world of data science, this is the perfect launchpad for your career.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis and create visualizations.
- Support the development and testing of statistical and machine learning models.
- Contribute to data mining and pattern recognition tasks.
- Learn and apply data science tools and programming languages (e.g., Python, R).
- Document data analysis processes and findings.
- Collaborate with senior data scientists on project tasks.
- Participate in team meetings and knowledge-sharing sessions.
- Ensure data integrity and accuracy in all tasks.
- Adhere to data privacy and security protocols.
- Recent graduate with a degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and programming fundamentals.
- Proficiency in at least one programming language (e.g., Python, R).
- Eagerness to learn and apply data science techniques.
- Excellent analytical and problem-solving abilities.
- Good communication and collaboration skills for remote work.
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