192 Processing jobs in Manama
Senior Metallurgist - Mineral Processing
Posted 5 days ago
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Job Description
Key Responsibilities:
- Lead and manage all aspects of mineral processing operations, including crushing, grinding, flotation, leaching, and refining.
- Develop, implement, and optimize metallurgical processes to maximize metal recovery and minimize operational costs.
- Conduct thorough metallurgical test work, pilot plant trials, and plant-scale investigations to evaluate new processes and improve existing ones.
- Analyze metallurgical data, interpret results, and provide actionable recommendations for process enhancement.
- Troubleshoot operational issues, identify root causes, and implement effective solutions to maintain plant efficiency and product quality.
- Ensure compliance with all health, safety, environmental, and regulatory standards applicable to mineral processing.
- Collaborate with geology, mine planning, and maintenance teams to ensure integrated and efficient operations.
- Prepare detailed metallurgical reports, technical documentation, and operational guidelines.
- Supervise and mentor junior metallurgists and process technicians, fostering a culture of continuous improvement.
- Evaluate and recommend new technologies and equipment for mineral processing.
- Monitor key performance indicators (KPIs) and report on plant performance to senior management.
- Contribute to feasibility studies and capital project evaluations for new and existing operations.
Qualifications:
- Bachelor's degree in Metallurgy, Chemical Engineering, Materials Science, or a closely related field. A Master's or PhD is highly desirable.
- Minimum of 7 years of hands-on experience in mineral processing, with a strong focus on the metallurgical aspects.
- Proven expertise in at least one of the following: hydrometallurgy, pyrometallurgy, or mineral flotation.
- Demonstrated experience with process simulation software (e.g., METSIM, JKSimMet) and data analysis tools.
- Strong understanding of chemical principles and their application in mineral extraction.
- Excellent analytical, problem-solving, and decision-making skills.
- Proven ability to lead and manage teams effectively.
- Exceptional written and verbal communication skills, with the ability to present technical information clearly.
- Experience in risk assessment and management related to metallurgical processes.
- Knowledge of environmental management practices in the mining sector.
- Ability to work effectively in a plant environment and potentially under challenging conditions.
This position offers a competitive salary, comprehensive benefits package, and the opportunity to make a significant impact on our client's success in the mining sector. Join a forward-thinking company committed to operational excellence.
Senior Metallurgical Engineer - Processing
Posted 20 days ago
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Job Description
Key Responsibilities:
- Optimize existing metallurgical processes to improve metal recovery rates and reduce operational costs.
- Troubleshoot and resolve complex processing issues in plant operations.
- Conduct performance testing and analysis of process equipment and reagents.
- Design and implement new metallurgical processes and technologies.
- Develop process simulation models to predict and improve plant performance.
- Collaborate with R&D teams on pilot plant testing and scale-up activities.
- Ensure compliance with health, safety, and environmental regulations.
- Prepare technical reports, recommendations, and presentations for management.
- Mentor and guide junior metallurgists and process engineers.
- Stay current with advancements in metallurgical science and processing technologies.
- Manage metallurgical data and maintain accurate process records.
- Contribute to capital expenditure projects related to process upgrades.
This position requires your full-time presence at our key operational site in Seef, Capital, BH , ensuring direct involvement with plant operations and teams. We offer a highly competitive salary, comprehensive benefits package, and significant opportunities for professional growth within a leading international company. If you are a skilled and motivated metallurgical engineer with a passion for optimizing mineral processing, we strongly encourage you to apply.
Senior Operations Engineer, Chemical Processing
Posted 12 days ago
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Job Description
Responsibilities:
- Oversee and optimize chemical processing operations to maximize efficiency and yield.
- Troubleshoot and resolve complex operational issues in a timely manner.
- Conduct process hazard analyses (PHAs) and implement safety protocols.
- Develop and revise standard operating procedures (SOPs) for all production processes.
- Manage projects related to process improvements, equipment upgrades, and new installations.
- Collaborate with production, maintenance, and quality control teams to ensure seamless operations.
- Monitor key process indicators (KPIs) and implement corrective actions as needed.
- Identify opportunities for cost reduction, energy efficiency, and waste minimization.
- Ensure compliance with all environmental, health, and safety (EHS) regulations.
- Utilize process simulation software and data analysis tools for process optimization.
- Provide technical support and guidance to operations personnel.
- Stay current with advancements in chemical engineering and process technology.
Qualifications:
- Bachelor's degree in Chemical Engineering or a related field; Master's degree preferred.
- Minimum of 6 years of experience in chemical process engineering or operations within a manufacturing environment.
- Proven experience in troubleshooting and optimizing complex chemical processes.
- Strong knowledge of process safety management (PSM) and hazard analysis techniques.
- Familiarity with process control systems (DCS, PLC) and instrumentation.
- Proficiency in process simulation software (e.g., Aspen Plus, HYSYS).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong project management and organizational abilities.
- Effective communication and interpersonal skills, with the ability to work collaboratively across departments.
- Understanding of environmental regulations and sustainability practices.
- Ability to work effectively in a hybrid work model.
AI/ML Engineer, Natural Language Processing
Posted 3 days ago
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Key responsibilities include researching, prototyping, and implementing NLP algorithms and models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering. You will be involved in data preprocessing, feature engineering, model training, evaluation, and optimization using large datasets. This role requires strong programming skills in Python and experience with popular ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with NLP libraries such as NLTK, SpaCy, or Hugging Face Transformers is essential. You will collaborate closely with data scientists, software engineers, and product managers to integrate NLP capabilities into various applications. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with a specialization in NLP. Proven experience in building and deploying production-ready NLP models is crucial. Excellent analytical and problem-solving skills, combined with strong communication and teamwork abilities, are required. We are looking for a creative and passionate individual eager to push the boundaries of AI and contribute to groundbreaking solutions.
Location: Sitra, Capital, BH
Senior AI Engineer - Natural Language Processing
Posted 5 days ago
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Job Description
Key responsibilities include designing, implementing, and optimizing NLP algorithms for tasks such as sentiment analysis, text classification, named entity recognition, machine translation, and question answering. You will work with large text datasets, applying various preprocessing techniques and training sophisticated models using frameworks like TensorFlow or PyTorch. Collaboration with product managers, software engineers, and other AI researchers is essential to integrate NLP capabilities into our client's innovative product suite. This role requires a deep understanding of NLP architectures, including transformers, LSTMs, and attention mechanisms. You will also be involved in evaluating model performance, identifying areas for improvement, and staying current with the rapidly evolving research landscape in NLP and artificial intelligence. The ability to translate complex research concepts into practical, scalable engineering solutions is paramount. You must be a self-motivated individual, capable of thriving in an autonomous remote work environment, while actively contributing to a collaborative team culture through effective virtual communication.
Qualifications: A Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field. A minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on NLP. Proven expertise in developing and deploying production-level NLP models. Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers). Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong understanding of linguistic theories and natural language understanding techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles. Excellent problem-solving skills and the ability to design and conduct rigorous experiments. Superior communication and collaboration skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences in a remote setting. If you are a passionate NLP expert seeking to push the boundaries of artificial intelligence remotely, we invite you to apply.
AI Research Scientist - Natural Language Processing
Posted 7 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing, including areas such as text generation, sentiment analysis, machine translation, and question answering.
- Design, develop, and implement novel machine learning models and algorithms for NLP tasks.
- Experiment with various deep learning architectures (e.g., Transformers, LSTMs, CNNs) and optimize their performance.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI, NLP, and related fields through literature review and conference participation.
- Analyze and interpret experimental results, drawing meaningful insights and conclusions.
- Contribute to academic publications, patents, and presentations showcasing research findings.
- Work effectively in a hybrid environment, balancing independent research with team collaboration.
- Mentor junior researchers and interns in NLP techniques.
- Explore new research directions and propose innovative solutions to challenging problems.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of research experience in Natural Language Processing.
- Proven track record of developing and implementing state-of-the-art NLP models.
- Strong proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Experience with large-scale datasets and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong publication record in top-tier AI/ML conferences and journals.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.
- Ability to work independently and collaboratively in a hybrid team setting.
- Experience with cloud platforms (AWS, Azure, GCP) for machine learning is a plus.
This is a remarkable opportunity for a talented AI researcher to make significant contributions in a dynamic and forward-thinking environment. If you are passionate about advancing the field of NLP, we encourage you to apply.
Lead AI Engineer - Natural Language Processing
Posted 10 days ago
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AI/ML Engineer - Natural Language Processing
Posted 12 days ago
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The ideal candidate will have a strong background in machine learning, deep learning, and NLP techniques. You should be proficient in programming languages such as Python and have extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Responsibilities include developing and implementing NLP algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering. You will work with large datasets, perform data preprocessing, feature engineering, and model evaluation. Collaboration with other engineers, data scientists, and product managers is key to translating research concepts into production-ready solutions.
Key duties involve researching and staying current with the latest advancements in AI and NLP, experimenting with new models and techniques, and optimizing model performance for scalability and efficiency. You will also contribute to the architecture of AI systems and ensure the ethical considerations of AI development are addressed. This fully remote role offers the flexibility to work from anywhere, collaborate with a global team, and make a significant impact in the rapidly evolving field of AI. We are looking for a creative problem-solver who is passionate about pushing the boundaries of what machines can understand and communicate.
AI Research Scientist - Natural Language Processing
Posted 13 days ago
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Job Description
Responsibilities:
- Conduct research in NLP, focusing on areas like language understanding, generation, and reasoning.
- Develop, implement, and evaluate novel AI and NLP models and algorithms.
- Design and execute experiments to test hypotheses and validate research findings.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for model development.
- Process and analyze large-scale text datasets.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Mentor junior researchers and contribute to a collaborative research environment.
- Identify and explore new research directions and opportunities.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong NLP research focus.
- Proven track record of research and publications in leading AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- In-depth knowledge of deep learning techniques and architectures for NLP (e.g., Transformers, LSTMs, RNNs).
- Proficiency in Python and experience with relevant AI/ML libraries (TensorFlow, PyTorch, scikit-learn, spaCy, NLTK).
- Experience with large language models (LLMs) and their applications.
- Strong analytical, problem-solving, and quantitative skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a collaborative research team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Lead AI Engineer - Natural Language Processing
Posted 17 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and deployment of sophisticated NLP models and applications.
- Architect and build scalable, robust NLP pipelines and infrastructure.
- Conduct cutting-edge research in areas such as sentiment analysis, named entity recognition, machine translation, and text summarization.
- Mentor and guide a team of AI engineers, fostering technical excellence and innovation.
- Collaborate with product management and other engineering teams to define product roadmaps and features.
- Evaluate and select appropriate NLP algorithms, tools, and technologies.
- Develop and maintain high-quality, production-ready code.
- Stay current with the latest advancements in NLP and AI research.
- Manage project timelines, resources, and deliverables effectively.
- Present technical findings and project progress to stakeholders.
- Ensure the ethical and responsible development and deployment of AI systems.
- Troubleshoot and optimize NLP models for performance and accuracy.