What Jobs are available for Mlops Engineer in Bahrain?
Showing 938 Mlops Engineer jobs in Bahrain
Machine Learning Operations (MLOps) Engineer
203 Amwaj Islands
BHD40 Hourly
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is at the forefront of AI & Emerging Technologies, and they are seeking a skilled Machine Learning Operations (MLOps) Engineer to join their growing team. This role is critical for bridging the gap between machine learning model development and deployment, ensuring that AI solutions are robust, scalable, and efficiently managed in production environments. The position is based in Jidhafs, Capital, BH , and requires close collaboration with data scientists and software engineers.
Responsibilities:
Responsibilities:
- Design, build, and maintain scalable and reliable MLOps pipelines for training, testing, and deploying machine learning models.
- Implement and manage CI/CD processes for ML models.
- Automate the deployment, monitoring, and management of ML models in production.
- Develop and maintain infrastructure for ML model training and inference, utilizing cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Monitor model performance, drift, and data quality in production, and implement necessary retraining or re-deployment strategies.
- Collaborate with data scientists and ML engineers to ensure smooth model lifecycle management.
- Work with software engineering teams to integrate ML models into production applications.
- Implement logging, alerting, and dashboarding for ML systems.
- Manage ML experiment tracking and model versioning.
- Ensure security and compliance of ML deployments.
- Stay up-to-date with the latest MLOps tools, technologies, and best practices.
- Troubleshoot and resolve issues related to ML model deployment and performance.
- Contribute to the documentation of MLOps processes and infrastructure.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of experience in software engineering, DevOps, or MLOps.
- Strong understanding of machine learning concepts and the ML model lifecycle.
- Hands-on experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI).
- Proficiency in scripting and programming languages such as Python.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with cloud computing platforms (AWS, Azure, GCP).
- Knowledge of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
- Experience with monitoring and logging tools.
- Strong problem-solving and debugging skills.
- Excellent communication and collaboration abilities.
- Understanding of infrastructure as code principles is a plus.
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0
Senior Machine Learning Operations (MLOps) Engineer
7007 Tubli, Central
BHD110000 Annually
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client is seeking an experienced Senior Machine Learning Operations (MLOps) Engineer to bridge the gap between machine learning model development and production deployment. In this hybrid role, you will be instrumental in building and maintaining robust, scalable, and efficient MLOps pipelines. You will be responsible for automating the end-to-end machine learning lifecycle, including data ingestion, model training, validation, deployment, monitoring, and retraining. The ideal candidate will have a strong background in machine learning, software engineering, and cloud infrastructure, with a proven ability to implement CI/CD practices for ML models. You will work closely with data scientists and ML engineers to streamline model development workflows, ensure model performance and reliability in production, and implement effective monitoring strategies. Key responsibilities include selecting and configuring MLOps tools, automating infrastructure provisioning, managing model registries, and establishing best practices for version control and reproducibility. Your ability to diagnose and resolve production issues, optimize model performance, and collaborate effectively across teams will be crucial. This role requires a proactive individual with a passion for automation, continuous improvement, and delivering high-quality, production-ready ML solutions. We are looking for a strategic thinker who can architect and implement scalable MLOps frameworks.
Responsibilities:
This hybrid role offers a blend of in-office collaboration and remote work, focusing on building and scaling robust MLOps infrastructure. The aim is to accelerate the deployment and operationalization of machine learning models.
Location: This is a hybrid position based in Tubli, Capital, BH .
Responsibilities:
- Design, build, and maintain scalable MLOps pipelines for ML model deployment.
- Automate the ML lifecycle, including data management, model training, and deployment.
- Implement CI/CD practices for machine learning models.
- Develop and manage infrastructure for ML model hosting and serving.
- Implement monitoring systems for model performance, drift, and health in production.
- Collaborate with data scientists and ML engineers to optimize model development workflows.
- Ensure model reproducibility, versioning, and documentation.
- Troubleshoot and resolve production issues related to ML models and infrastructure.
- Manage and optimize cloud resources for ML workloads.
- Stay updated on the latest MLOps tools, techniques, and best practices.
- Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 5-7 years of experience in software engineering, with at least 2-3 years focused on MLOps or production ML.
- Strong understanding of machine learning concepts and the ML development lifecycle.
- Proficiency in programming languages such as Python.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Familiarity with MLOps tools (e.g., MLflow, Kubeflow, TensorFlow Extended).
- Experience with containerization technologies (Docker, Kubernetes).
- Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
- Excellent problem-solving and debugging skills.
- Strong communication and collaboration abilities.
This hybrid role offers a blend of in-office collaboration and remote work, focusing on building and scaling robust MLOps infrastructure. The aim is to accelerate the deployment and operationalization of machine learning models.
Location: This is a hybrid position based in Tubli, Capital, BH .
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1
Senior Data Science Apprentice - Machine Learning Applications
80123 Saar, Northern
BHD70000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a rapidly growing technology firm specializing in AI-driven solutions, is seeking motivated individuals for a Senior Data Science Apprenticeship position. This is a fully remote, intensive program designed to fast-track talented individuals into advanced roles within data science and machine learning. As a Senior Apprentice, you will work alongside seasoned data scientists on real-world projects, gaining hands-on experience in data analysis, model development, and deployment. You will be mentored extensively, with a curriculum focused on advanced machine learning techniques, statistical modeling, and big data technologies. The ideal candidate has a strong foundational understanding of programming (preferably Python), mathematics, and statistics, coupled with a passion for learning and problem-solving in a dynamic, remote setting.
Program Highlights:
Program Highlights:
- Duration: 12-18 months, with the potential for conversion to a full-time Data Scientist role upon successful completion.
- Focus Areas: Supervised and unsupervised learning, deep learning, natural language processing (NLP), time series analysis, and MLOps.
- Projects: Contribute to diverse projects involving predictive modeling, customer analytics, fraud detection, recommendation systems, and more.
- Mentorship: Receive dedicated guidance from experienced Data Scientists and Machine Learning Engineers.
- Training: Access to comprehensive online courses, workshops, and learning resources.
- Remote Work: Fully remote structure allows for flexible working arrangements.
- Assist in data collection, cleaning, and preprocessing from various sources.
- Develop, train, and evaluate machine learning models under the guidance of senior staff.
- Implement and optimize algorithms for prediction, classification, and clustering.
- Assist in the deployment and monitoring of machine learning models in production environments.
- Collaborate with engineering and product teams to understand data needs and deliver insights.
- Conduct exploratory data analysis (EDA) to identify patterns and trends.
- Document methodologies, findings, and code thoroughly.
- Stay updated on the latest advancements in data science and machine learning.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Demonstrated programming proficiency, ideally in Python, and familiarity with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Strong understanding of fundamental statistical concepts and machine learning algorithms.
- Excellent analytical and problem-solving skills.
- Proactive learner with a strong desire to master advanced data science techniques.
- Effective communication and collaboration skills, suitable for a remote work environment.
- Ability to manage time effectively and meet project deadlines.
- A portfolio of personal projects or contributions to open-source projects is a strong plus.
- Prior internship or entry-level experience in data analysis or software development is beneficial.
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2
Junior Data Science Apprentice - Machine Learning Focus
501 Northern, Northern
BHD25 Hourly
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client is offering a unique opportunity for aspiring data scientists to kick-start their careers through a fully remote apprenticeship program. This is an exceptional entry-level position designed for individuals with a strong foundational understanding of mathematics and a passion for learning machine learning and data analysis techniques. You will be mentored by experienced data scientists and will contribute to real-world projects, gaining hands-on experience in a supportive, remote-first environment. The program focuses on developing practical skills in data manipulation, model building, and interpretation.
Program Highlights:
Requirements:
Program Highlights:
- Gain practical experience in data cleaning, feature engineering, and exploratory data analysis using industry-standard tools.
- Learn and apply various machine learning algorithms, including supervised and unsupervised learning techniques.
- Assist in the development and evaluation of predictive models for various business applications.
- Collaborate with cross-functional teams in a remote setting, contributing to project goals.
- Develop proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Participate in regular training sessions and workshops led by senior data scientists.
- Learn to visualize data and communicate findings effectively through reports and presentations.
- Understand the principles of data governance and ethical data usage.
Requirements:
- Recent graduate with a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of fundamental statistical concepts and mathematical principles.
- Demonstrated interest in data science and machine learning, evidenced by personal projects or coursework.
- Basic programming skills in Python or R.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills, essential for a remote team environment.
- Self-motivated, eager to learn, and capable of working independently.
- Must be able to commit to the full apprenticeship duration.
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3
Data Science Intern
2005 Busaiteen, Muharraq
BHD20 Hourly
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm, is seeking an ambitious and analytically minded Data Science Intern to join our fully remote team. This internship provides an unparalleled opportunity for students or recent graduates to gain hands-on experience in a fast-paced, innovative environment. You will work alongside experienced data scientists on real-world projects, applying your academic knowledge to solve complex business challenges. This role is ideal for someone looking to kick-start their career in data science, machine learning, and artificial intelligence. You will be contributing to meaningful projects, gaining exposure to industry-standard tools and methodologies, and developing valuable skills. As a Data Science Intern, your responsibilities will include:
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Supporting the development and implementation of machine learning models under the guidance of senior data scientists.
- Contributing to the visualization of data and findings using tools like Matplotlib, Seaborn, or Tableau.
- Helping to document methodologies, code, and results.
- Participating in team meetings and presenting findings or progress updates.
- Researching and learning new data science techniques and tools.
- Collaborating with other interns and team members on shared projects.
- Assisting in the testing and validation of data models and algorithms.
- Gaining exposure to cloud platforms and big data technologies.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and a proactive attitude.
- Experience with SQL is a plus.
- Familiarity with version control systems like Git is beneficial.
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4
Data Science Apprentice
702 Tubli
BHD2500 Monthly
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client, a forward-thinking technology firm renowned for its innovative data solutions, is offering a unique opportunity for aspiring individuals to join their team as a Data Science Apprentice. This is a fully remote, fully-funded apprenticeship program designed to provide comprehensive training and hands-on experience in the field of data science. You will learn from industry experts and contribute to real-world data projects from the comfort of your home.
As a Data Science Apprentice, you will embark on a structured learning journey covering the core principles of data analysis, machine learning, statistical modeling, and data visualization. You will work alongside experienced data scientists, assisting them in collecting, cleaning, analyzing, and interpreting large datasets to derive actionable insights. This apprenticeship is ideal for individuals with a strong aptitude for numbers, problem-solving, and a passion for uncovering hidden patterns within data.
What You Will Learn and Do:
As a Data Science Apprentice, you will embark on a structured learning journey covering the core principles of data analysis, machine learning, statistical modeling, and data visualization. You will work alongside experienced data scientists, assisting them in collecting, cleaning, analyzing, and interpreting large datasets to derive actionable insights. This apprenticeship is ideal for individuals with a strong aptitude for numbers, problem-solving, and a passion for uncovering hidden patterns within data.
What You Will Learn and Do:
- Assist in data collection, cleaning, and preprocessing using various tools and techniques.
- Learn and apply statistical methods for data analysis and interpretation.
- Gain hands-on experience with machine learning algorithms and their implementation.
- Develop data visualization skills to communicate findings effectively.
- Support senior data scientists in developing predictive models and data-driven solutions.
- Participate in team meetings and contribute to project discussions.
- Understand and adhere to data privacy and security best practices.
- Develop proficiency in programming languages commonly used in data science, such as Python and R.
- Explore various data science tools and platforms.
- Receive mentorship and guidance from experienced data science professionals.
- A strong academic background, ideally with a degree or strong performance in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering).
- A genuine passion for data and a keen analytical mindset.
- Excellent problem-solving skills and attention to detail.
- Basic understanding of programming concepts; experience with Python or R is a plus but not mandatory.
- Strong communication skills, both written and verbal.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Must be legally eligible to work in the designated region (or capable of working remotely from an approved location).
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5
Data Science Apprentice
555 Riffa, Southern
BHD18 Hourly
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is offering a fantastic opportunity for an aspiring Data Scientist to join their program as a Data Science Apprentice. This apprenticeship is designed for individuals who are passionate about data and eager to learn and grow in a practical, hands-on environment. You will work alongside experienced data scientists, contributing to real-world projects and gaining invaluable industry experience. The program provides comprehensive training in data analysis, statistical modeling, machine learning, and data visualization techniques.
As a Data Science Apprentice, you will assist in data collection, cleaning, and preprocessing from various sources. You will support the team in developing and testing data models, performing exploratory data analysis, and generating insights to inform business decisions. Learning to use data visualization tools to communicate findings effectively to both technical and non-technical audiences will be a key focus. You will also gain exposure to different programming languages and software used in data science, such as Python, R, SQL, and relevant libraries.
The ideal candidate should have a strong analytical mindset, a keen interest in data science, and a desire to learn. While prior experience is not essential, a foundational understanding of mathematics, statistics, or programming is beneficial. Excellent problem-solving skills, attention to detail, and strong communication abilities are required. This apprenticeship is an excellent pathway for individuals looking to start a career in data science and contribute to innovative projects within a supportive team. Join us at our location in Riffa, Southern, BH , and embark on an exciting journey into the world of data.
As a Data Science Apprentice, you will assist in data collection, cleaning, and preprocessing from various sources. You will support the team in developing and testing data models, performing exploratory data analysis, and generating insights to inform business decisions. Learning to use data visualization tools to communicate findings effectively to both technical and non-technical audiences will be a key focus. You will also gain exposure to different programming languages and software used in data science, such as Python, R, SQL, and relevant libraries.
The ideal candidate should have a strong analytical mindset, a keen interest in data science, and a desire to learn. While prior experience is not essential, a foundational understanding of mathematics, statistics, or programming is beneficial. Excellent problem-solving skills, attention to detail, and strong communication abilities are required. This apprenticeship is an excellent pathway for individuals looking to start a career in data science and contribute to innovative projects within a supportive team. Join us at our location in Riffa, Southern, BH , and embark on an exciting journey into the world of data.
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6
Junior Data Science Apprentice
108 Jaww, Southern
BHD30000 Annually
WhatJobs Direct
Posted today
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Job Description
Our client is looking for an eager and motivated Junior Data Science Apprentice to join their growing analytics team. This is an exceptional opportunity for individuals passionate about data and looking to kick-start their career in data science. You will work alongside experienced data scientists and analysts, gaining hands-on experience in a supportive and collaborative environment. This hybrid role combines in-office learning and team collaboration with remote flexibility. Responsibilities will include assisting in data collection, cleaning, and preprocessing; supporting the development of data models and visualizations; performing basic statistical analysis; and contributing to data-driven insights and reports. The ideal candidate will have a foundational understanding of statistics and programming (Python or R preferred), excellent analytical skills, and a strong desire to learn. A relevant academic background (degree or equivalent experience in a quantitative field) is beneficial but not strictly required if demonstrable passion and aptitude for data science are present. You will be trained on various data science tools and techniques, including machine learning algorithms, database management, and data visualization platforms. This apprenticeship offers a pathway to a rewarding career, providing mentorship and real-world project experience. We are looking for a curious, detail-oriented individual with strong problem-solving abilities and a commitment to continuous learning. Join a team dedicated to leveraging data to drive business decisions and innovation. This is your chance to build a solid foundation in one of the most in-demand fields.
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7
Graduate Trainee - Data Science
5005 Galali
BHD2500 Monthly
WhatJobs Direct
Posted 1 day ago
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Job Description
Our client is launching an exciting new initiative to nurture emerging talent and is seeking highly motivated and intellectually curious Graduate Trainees in Data Science. This is a fully remote, intensive internship program designed to provide a comprehensive learning experience and real-world project exposure. You will work closely with our senior data scientists on cutting-edge projects, gaining hands-on experience in data collection, cleaning, analysis, visualization, and predictive modeling. Responsibilities will include assisting in the development of machine learning models, performing statistical analysis, and contributing to the creation of insightful reports and dashboards. You will learn to leverage various programming languages such as Python or R, along with data manipulation libraries and machine learning frameworks. The program emphasizes practical application, problem-solving, and collaboration. You will be exposed to diverse datasets and business challenges, learning to extract meaningful insights and communicate findings effectively. Successful trainees will have opportunities to present their work to key stakeholders. We are looking for candidates who have recently graduated or are in their final year of a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A strong academic record, demonstrable passion for data science, and foundational knowledge of statistical concepts and programming are essential. Familiarity with SQL and basic machine learning algorithms is a plus. Excellent analytical, problem-solving, and communication skills are a must. This remote internship offers a unique chance to kickstart your career in data science, learn from industry experts, and contribute to impactful projects from anywhere, gaining invaluable skills and experience.
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8
Graduate Trainee - Data Science
BH8-8888 Galali
BHD30000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm specializing in data analytics and artificial intelligence, is offering a fully remote Graduate Trainee position in Data Science. This is an exceptional opportunity for recent graduates to gain hands-on experience in a dynamic and innovative environment. You will work alongside experienced data scientists, contributing to real-world projects involving data cleaning, analysis, visualization, and model development. The program is designed to provide comprehensive training in various data science tools and techniques, including Python, R, SQL, and machine learning libraries. Successful candidates will demonstrate a strong analytical aptitude, a passion for data, and a keen desire to learn and grow. This remote role requires self-discipline, strong communication skills, and the ability to collaborate effectively in a virtual team setting.
Key Responsibilities:
Key Responsibilities:
- Assist senior data scientists in data collection, cleaning, and pre-processing tasks.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop data visualizations to communicate findings effectively.
- Support the development and implementation of machine learning models under guidance.
- Write and optimize SQL queries for data extraction and manipulation.
- Contribute to the documentation of data science processes and findings.
- Participate in team meetings and present project updates.
- Learn and apply various data science methodologies and tools.
- Assist in A/B testing and experiment design.
- Adhere to data privacy and security protocols.
- Recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and linear algebra.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with SQL and database concepts.
- Basic understanding of machine learning concepts and algorithms.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Enthusiasm for the field of data science and its applications.
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9