954 AI Development jobs in Kenya
Lead AI Engineer - Deep Learning
20200 Kapsuser
KES4500000 Annually
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Posted 1 day ago
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Job Description
Our client is seeking a highly experienced and visionary Lead AI Engineer specializing in Deep Learning to spearhead advanced research and development projects. This is a fully remote role, allowing you to collaborate with a world-class team from anywhere. You will be instrumental in designing, developing, and deploying sophisticated deep learning models that solve complex real-world problems. The ideal candidate will have a strong theoretical foundation in machine learning and deep learning, coupled with extensive practical experience in building and training neural networks for various applications, such as computer vision, natural language processing, or predictive analytics. Key responsibilities include leading the AI/ML roadmap, mentoring junior engineers, overseeing model development lifecycles, and ensuring the scalability and performance of deployed solutions. You will work closely with product managers and other engineers to integrate AI capabilities into new and existing products. Experience with deep learning frameworks like TensorFlow, PyTorch, and Keras is essential, as is proficiency in Python and relevant libraries. Familiarity with MLOps practices, cloud platforms (AWS, Azure, GCP), and big data technologies is highly desirable. The role demands exceptional problem-solving skills, a passion for innovation, and the ability to translate cutting-edge research into practical, high-impact solutions. You will champion best practices in AI development and contribute to the intellectual property of the company. This is a leadership opportunity to make significant contributions to the field of artificial intelligence, supporting initiatives conceptually linked to **Kericho, Kericho, KE**.
Key Responsibilities:
Key Responsibilities:
- Lead the research, design, and implementation of deep learning models.
- Develop and optimize algorithms for large-scale datasets.
- Mentor and guide junior AI/ML engineers.
- Oversee the entire ML model lifecycle, from experimentation to production.
- Collaborate with cross-functional teams to define AI requirements and solutions.
- Evaluate and integrate new AI technologies and methodologies.
- Ensure the performance, scalability, and reliability of AI systems.
- Contribute to publications and patents in the field of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of hands-on experience in deep learning and AI development.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and scientific computing libraries (NumPy, Pandas).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with MLOps, cloud computing, and big data technologies.
- Excellent leadership, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects in a remote setting.
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0
Principal AI Engineer - Deep Learning
90201 Abothuguchi West
KES500000 Annually
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Posted 2 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a Principal AI Engineer specializing in Deep Learning. This is a fully remote, high-impact position where you will architect, develop, and deploy cutting-edge AI models and solutions. You will tackle challenging problems in areas such as natural language processing, computer vision, or reinforcement learning, pushing the boundaries of what's possible. The ideal candidate is a recognized expert with a Ph.D. or Master's in Computer Science, AI, Machine Learning, or a related field, and a proven track record of leading complex AI projects from inception to production. You will mentor junior engineers, collaborate with research teams, and shape the future of AI within our client's organization.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms.
- Lead the end-to-end AI project lifecycle, from data acquisition and preprocessing to model deployment and monitoring.
- Research and evaluate state-of-the-art AI techniques and technologies.
- Optimize model performance for scalability, efficiency, and accuracy.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Mentor and guide junior AI engineers and data scientists.
- Contribute to the company's AI strategy and roadmap.
- Publish research findings and present work at leading AI conferences.
- Ensure the ethical and responsible development and deployment of AI systems.
- Stay at the cutting edge of AI research and development.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML development, with a strong focus on deep learning.
- Proven experience leading complex AI projects and delivering production-ready solutions.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras.
- Proficiency in programming languages like Python, C++, Java.
- Deep understanding of machine learning algorithms, statistical modeling, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and communication skills, with the ability to articulate complex technical concepts.
- A portfolio of significant contributions to AI research or industry applications.
This advertiser has chosen not to accept applicants from your region.
1
Remote AI Development Trainee
80201 Shella
KES800000 Annually
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Posted 2 days ago
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Job Description
Embark on an exciting career journey with our client, a forward-thinking tech firm dedicated to harnessing the power of Artificial Intelligence. We are offering a unique fully remote Apprenticeship and Trainee opportunity designed for ambitious individuals eager to learn and contribute to cutting-edge AI projects. This program provides comprehensive training in machine learning, deep learning, data science, and natural language processing, all delivered through a structured remote curriculum. You will work alongside experienced AI engineers and researchers, gaining invaluable hands-on experience in developing and deploying AI solutions.
As a Remote AI Development Trainee, you will:
Ideal Candidates Will Possess:
This program is ideal for individuals looking to launch a career in AI from **Malindi, Kilifi, KE**, without the need to relocate. Our client is committed to fostering talent and providing a clear career path within the exciting field of artificial intelligence. Join us and help shape the future of technology.
As a Remote AI Development Trainee, you will:
- Participate in guided learning modules covering core AI concepts, programming languages (Python, R), and relevant libraries (TensorFlow, PyTorch, scikit-learn).
- Assist in data collection, cleaning, and preprocessing for machine learning models.
- Contribute to the development, training, and evaluation of AI models under the mentorship of senior team members.
- Learn to implement and test various algorithms and techniques in supervised, unsupervised, and reinforcement learning.
- Engage in collaborative coding sessions and contribute to internal AI development projects.
- Help in documenting AI project progress, methodologies, and results.
- Troubleshoot and debug code to ensure the performance and reliability of AI applications.
- Attend virtual team meetings, knowledge-sharing sessions, and workshops.
- Develop a portfolio of AI projects demonstrating your acquired skills and understanding.
- Gain exposure to MLOps practices for deploying and monitoring AI models in production environments.
Ideal Candidates Will Possess:
- A strong foundation in mathematics, statistics, and computer science principles.
- Basic programming skills, preferably in Python.
- A keen interest in Artificial Intelligence, Machine Learning, and Data Science.
- Excellent problem-solving abilities and a logical mindset.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote team.
- Self-discipline and motivation to learn and succeed in a fully remote learning environment.
- A bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent demonstrable experience.
This program is ideal for individuals looking to launch a career in AI from **Malindi, Kilifi, KE**, without the need to relocate. Our client is committed to fostering talent and providing a clear career path within the exciting field of artificial intelligence. Join us and help shape the future of technology.
This advertiser has chosen not to accept applicants from your region.
2
Principal AI Engineer - Deep Learning & NLP
00100 Abothuguchi West
KES150000 Annually
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Posted 2 days ago
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Job Description
Our client is looking for a highly accomplished Principal AI Engineer with expertise in Deep Learning and Natural Language Processing (NLP) to join their innovative AI division. This role is fully remote, allowing you to work from any location while contributing to groundbreaking AI initiatives. You will be responsible for architecting, developing, and deploying state-of-the-art AI models and algorithms. This includes designing training pipelines, optimizing model performance, and integrating AI solutions into production environments. The ideal candidate will have a strong background in machine learning, deep learning frameworks (TensorFlow, PyTorch), and NLP techniques (e.g., transformers, LSTMs, sentiment analysis). You will lead challenging technical projects, mentor junior engineers, and collaborate closely with product managers and researchers to translate business needs into AI-driven solutions. A Master's or PhD in Computer Science, AI, or a related field, along with significant practical experience in building and deploying AI systems, is required. Exceptional programming skills in Python and proficiency in relevant libraries are essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. We are seeking a forward-thinking individual who can identify new opportunities for AI application and drive innovation within the company. Excellent communication and interpersonal skills are vital for this remote role, enabling effective collaboration with cross-functional teams. You will be at the forefront of developing intelligent systems that will shape the future of our client's products and services. The ability to research, understand, and implement novel AI approaches, as well as to effectively present technical concepts to diverse audiences, is a must. This position offers a unique opportunity to work on complex and impactful AI challenges and to influence the technical direction of the AI roadmap. You will be expected to stay current with the latest research in AI and NLP, contributing to a culture of continuous learning and technological advancement. Strong analytical and problem-solving skills are critical for overcoming the intricate challenges inherent in AI development. The role demands a blend of theoretical knowledge and hands-on implementation expertise.
This advertiser has chosen not to accept applicants from your region.
3
Lead AI/ML Engineer (Deep Learning)
80100 Nairobi, Nairobi
KES300000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is at the forefront of innovation and is seeking an exceptional Lead AI/ML Engineer specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the opportunity to work from anywhere within Kenya and contribute to groundbreaking advancements. The Lead AI/ML Engineer will be instrumental in designing, developing, and deploying state-of-the-art machine learning models and artificial intelligence solutions. You will lead the technical direction for deep learning projects, mentor junior engineers, and collaborate with product managers and data scientists to translate business requirements into scalable AI systems. Responsibilities include building and optimizing neural networks, developing robust data pipelines, implementing MLOps best practices, and evaluating model performance. The ideal candidate will possess a strong theoretical understanding of machine learning algorithms, extensive hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and a proven ability to deliver complex AI solutions in production environments. This role demands exceptional problem-solving skills, a passion for cutting-edge technology, and the ability to thrive in a fast-paced, remote-first setting.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of deep learning models.
- Architect scalable and efficient AI/ML systems and pipelines.
- Implement and optimize neural networks for various applications.
- Collaborate with cross-functional teams to define project requirements and goals.
- Mentor and guide junior AI/ML engineers and data scientists.
- Develop and maintain robust MLOps practices for model deployment and monitoring.
- Evaluate model performance and iterate to achieve optimal results.
- Stay abreast of the latest research and advancements in AI and deep learning.
- Contribute to the company's AI strategy and technical roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Extensive experience with Python and ML libraries such as TensorFlow, PyTorch, and Keras.
- Proven track record of successfully deploying complex ML models into production.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated leadership experience in managing technical projects.
- Ability to work effectively in a fully remote team environment.
This advertiser has chosen not to accept applicants from your region.
4
Senior AI/ML Engineer - Deep Learning
41100 Kisumu
KES230000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a leader in AI innovation, is looking for a highly skilled and experienced Senior AI/ML Engineer specializing in Deep Learning to join their cutting-edge, fully remote team. You will be instrumental in designing, developing, and deploying advanced machine learning models and artificial intelligence solutions that drive groundbreaking products and services. This role requires a deep theoretical understanding of AI/ML algorithms, robust practical experience with deep learning frameworks, and the ability to translate complex business problems into AI-driven solutions. You will work collaboratively with a team of researchers, engineers, and product managers to push the boundaries of AI technology.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, train, and deploy state-of-the-art deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Conduct research into new AI/ML techniques and algorithms, evaluating their potential applications.
- Preprocess and analyze large, complex datasets to extract valuable insights for model training.
- Implement and optimize machine learning algorithms for scalability and performance.
- Collaborate with software engineers to integrate AI/ML models into production systems and applications.
- Develop and maintain robust ML pipelines and MLOps practices.
- Evaluate and benchmark model performance, identifying areas for improvement and iteration.
- Stay abreast of the latest advancements and research in AI, machine learning, and deep learning.
- Document technical specifications, algorithms, and experimental results.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Participate in code reviews and provide constructive feedback.
- Communicate technical findings and recommendations to both technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in developing and deploying AI/ML models, with a strong emphasis on deep learning.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with MLOps, model deployment, and monitoring is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Published research in top-tier AI conferences or journals is a significant plus.
- Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
This advertiser has chosen not to accept applicants from your region.
5
Senior AI/ML Engineer - Deep Learning
40100 Kisumu
KES5800000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking an innovative and highly experienced Senior AI/ML Engineer specializing in Deep Learning to join their advanced research and development team. This role, based in the dynamic city of Kisumu, Kisumu, KE , offers a unique opportunity to work on cutting-edge artificial intelligence projects that are shaping the future of technology. You will be instrumental in designing, developing, and deploying sophisticated deep learning models for applications ranging from computer vision and natural language processing to predictive analytics and autonomous systems. The ideal candidate possesses a Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field, coupled with a strong portfolio of successful AI/ML projects. Expertise in Python, TensorFlow, PyTorch, and other relevant deep learning frameworks is essential. You will be responsible for the entire model lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment. Key responsibilities include conducting research, experimenting with novel algorithms, optimizing model performance, and integrating AI solutions into existing products or platforms. This position demands exceptional analytical and problem-solving skills, a strong understanding of algorithmic principles, and the ability to translate complex business problems into actionable AI solutions. You will collaborate closely with data scientists, software engineers, and product managers to drive innovation and deliver impactful AI-driven products. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. We are looking for a proactive, results-oriented individual with a passion for pushing the boundaries of AI and a commitment to developing ethical and responsible AI systems. A strong understanding of software engineering best practices is crucial for building robust and scalable AI solutions. If you are a visionary AI/ML leader ready to make a significant impact in a challenging and rewarding environment, we encourage you to apply.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models.
- Conduct research and experimentation on novel AI/ML algorithms and techniques.
- Preprocess and analyze large datasets for model training.
- Optimize model performance for accuracy, efficiency, and scalability.
- Deploy AI/ML models into production environments.
- Collaborate with cross-functional teams to define project requirements and objectives.
- Stay current with the latest advancements in AI, ML, and deep learning research.
- Troubleshoot and resolve issues related to AI/ML model performance.
- Contribute to the development of AI/ML best practices and standards.
- Document AI/ML models, methodologies, and results.
- Master's or PhD in Computer Science, AI, Machine Learning, or a related field.
- Minimum of 6 years of experience in AI/ML engineering, with a focus on deep learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of machine learning algorithms, statistical modeling, and data mining.
- Experience with various deep learning architectures (CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Experience in computer vision or natural language processing is a plus.
- Proven track record of delivering impactful AI/ML solutions.
This advertiser has chosen not to accept applicants from your region.
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6
Senior AI/ML Engineer - Deep Learning
00500 Ongata Rongai, Rift Valley
KES800000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a pioneering Senior AI/ML Engineer with a specialization in Deep Learning to join their cutting-edge, fully remote research and development team. This role is at the forefront of innovation, focused on designing, developing, and deploying advanced machine learning models and algorithms to solve complex problems and drive transformative solutions. You will be instrumental in conceptualizing and implementing deep learning architectures, exploring new research frontiers, and translating theoretical advancements into practical applications that create significant business value. Key responsibilities include conducting research into state-of-the-art AI techniques, developing and training deep neural networks, and optimizing model performance for deployment in production environments. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI capabilities into new and existing products and services. This position demands a profound understanding of machine learning theory, statistical modeling, and advanced programming skills. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record in top-tier AI conferences and journals. Extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and experience with cloud platforms (AWS, Azure, GCP) for MLOps are highly desirable. As a fully remote position, exceptional problem-solving skills, creativity, and strong communication abilities are crucial. You must be a self-starter, capable of independent research and development, and adept at collaborating effectively with a distributed team. We are looking for a passionate innovator with a drive to push the boundaries of artificial intelligence and make a significant impact. Your work will be pivotal in shaping the future of our client's technological offerings and driving competitive advantage through AI. This is a unique opportunity to work on challenging, high-impact projects in a dynamic and supportive remote work environment, collaborating with world-class researchers and engineers. The successful candidate will be adept at identifying novel approaches to complex problems and translating research insights into deployable solutions. A commitment to staying abreast of the rapidly evolving field of AI is essential. The company values a collaborative spirit and encourages sharing of knowledge and research findings within the team.
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7
Senior AI & Machine Learning Engineer - Deep Learning
00200 Gathiruini
KES450000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI & Machine Learning Engineer with a specialization in Deep Learning to join their cutting-edge research and development team. This role is ideal for an individual passionate about pushing the boundaries of artificial intelligence and developing sophisticated ML models to solve complex problems. You will be instrumental in designing, building, and deploying advanced deep learning architectures, contributing to projects that leverage AI for novel applications. The successful candidate will possess a strong theoretical foundation in machine learning, exceptional programming skills, and a proven ability to translate research into practical, scalable solutions in a remote setting.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications, including but not limited to, computer vision, natural language processing, and predictive analytics.
- Conduct research into new AI techniques and algorithms, staying at the forefront of the field.
- Preprocess, clean, and manage large datasets for model training and evaluation.
- Train, validate, and fine-tune deep learning models to achieve optimal performance.
- Develop robust and scalable ML pipelines for deployment in production environments.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products and services.
- Evaluate the performance of ML models and identify areas for improvement.
- Write clean, efficient, and well-documented code in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Stay updated with the latest research papers, conferences, and industry trends in AI and machine learning.
- Contribute to the technical roadmap and strategic direction of the AI team.
- Mentor junior engineers and share knowledge within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying deep learning models.
- Strong expertise in Python programming and experience with major ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, etc.) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving skills and the ability to work on complex, ambiguous challenges.
- Strong communication and collaboration skills, essential for a remote team environment.
- Proven ability to work independently and manage projects effectively.
- Published research in top-tier AI/ML conferences or journals is highly desirable.
- This role will support projects and initiatives relevant to the **Mlolongo, Machakos, KE** region.
This advertiser has chosen not to accept applicants from your region.
8
Senior AI Engineer - Remote Deep Learning Specialist
01001 Makongeni
KES8000000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a leader in AI innovation, is seeking a highly skilled and experienced Senior AI Engineer specializing in Deep Learning to join their pioneering, fully remote engineering team. This is a critical role focused on designing, developing, and deploying sophisticated deep learning models and solutions that drive our client's cutting-edge products and services. You will be at the forefront of applying advanced AI techniques to solve complex real-world problems. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with extensive practical experience in implementing and scaling AI systems. A passion for emerging technologies and a proven ability to thrive in a collaborative remote setting are essential.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
- Develop and maintain robust machine learning pipelines for data processing, model training, evaluation, and deployment.
- Optimize deep learning models for performance, scalability, and efficiency on cloud platforms and edge devices.
- Collaborate with product managers, researchers, and other engineers to define project requirements and translate them into technical solutions.
- Conduct rigorous experimentation, evaluate model performance, and iterate on designs to achieve optimal results.
- Stay abreast of the latest research and advancements in deep learning, AI, and related fields, and apply them to product development.
- Mentor junior engineers, share knowledge, and contribute to the technical growth of the AI team.
- Develop and implement strategies for data acquisition, augmentation, and management to support deep learning initiatives.
- Troubleshoot and resolve complex technical issues related to AI model deployment and performance.
- Contribute to the architectural design of AI systems and platforms, ensuring scalability and maintainability in a remote-first environment.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong focus on deep learning.
- Proven expertise in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Solid understanding of machine learning algorithms, statistical modeling, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing environments.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration skills, vital for effective remote teamwork.
- Demonstrated ability to lead technical projects and mentor junior team members.
- Experience working in a remote or hybrid environment is highly advantageous.
This advertiser has chosen not to accept applicants from your region.
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