1,808 Machine Learning Professionals jobs in Kenya
Senior AI/ML Engineer - Predictive Modeling & Data Science
Posted 1 day ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI and emerging technologies, is actively seeking a Senior AI/ML Engineer to join their globally distributed, fully remote team. This pivotal role involves designing, developing, and deploying advanced machine learning models and AI solutions that solve complex business problems and drive innovation. You will leverage your deep expertise in algorithms, statistical modeling, and data science to build robust, scalable, and performant AI systems. The ideal candidate will have a strong theoretical foundation in machine learning, a practical understanding of deep learning frameworks, and experience with large-scale data processing and cloud platforms. You will collaborate with researchers, data scientists, and software engineers to bring state-of-the-art AI capabilities to life. This is an exceptional opportunity to work on transformative AI projects in a flexible, remote work environment.
Responsibilities:
Responsibilities:
- Design, build, train, and deploy machine learning models for various applications, including but not limited to predictive analytics, natural language processing, computer vision, and recommendation systems.
- Develop and implement deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras.
- Perform data preprocessing, feature engineering, and model evaluation to ensure optimal performance.
- Work with large datasets, utilizing big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define project requirements and deliver AI solutions.
- Research and stay abreast of the latest advancements in AI, machine learning, and related fields.
- Optimize ML models for performance, scalability, and efficiency in production environments.
- Develop APIs and integrate ML models into existing software systems and applications.
- Contribute to the development of AI strategy and roadmap.
- Document methodologies, code, and model performance.
- Mentor junior engineers and contribute to the knowledge sharing within the AI/ML team.
- Ensure ethical considerations and bias mitigation in AI model development.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering and data science.
- Strong theoretical and practical knowledge of various machine learning algorithms (e.g., regression, classification, clustering, reinforcement learning).
- Proficiency in programming languages such as Python, R, or Java.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with cloud platforms (AWS, Azure, GCP) and related ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team.
- Proven ability to work independently and manage complex projects in a fast-paced environment.
- Experience with MLOps practices is a significant plus.
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Senior AI/ML Engineer - Predictive Modeling
Posted 10 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer to join their cutting-edge team in a fully remote capacity. This role is central to developing and deploying advanced machine learning models that drive business insights and innovation. You will be responsible for the end-to-end lifecycle of AI/ML projects, from data gathering and preprocessing to model training, evaluation, and deployment. We are looking for a proactive individual with a deep understanding of various ML algorithms, strong programming skills, and a passion for pushing the boundaries of artificial intelligence. This is a fantastic opportunity to work on challenging problems and contribute to the advancement of AI solutions from anywhere. Key Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models for various applications (e.g., predictive analytics, natural language processing, computer vision).
- Collect, clean, and preprocess large datasets to prepare them for model training.
- Experiment with different ML algorithms and techniques to find the most effective solutions.
- Train, validate, and fine-tune ML models to optimize performance metrics.
- Deploy ML models into production environments and monitor their performance over time.
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into existing systems and new products.
- Stay up-to-date with the latest research and advancements in AI and machine learning.
- Develop and maintain MLOps pipelines for automated model training, deployment, and monitoring.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Contribute to the team's knowledge base through presentations and documentation.
- Evaluate the ethical implications and potential biases in AI models.
- Design and conduct A/B tests to evaluate model performance in real-world scenarios.
- Mentor junior engineers and contribute to the growth of the AI/ML team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying machine learning models.
- Proficiency in Python and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Strong understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, especially in a remote team setting.
- Experience with MLOps practices and tools.
- Ability to work independently and take ownership of projects.
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Remote AI/ML Engineer - Predictive Modeling
Posted 22 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of artificial intelligence and machine learning, is seeking a talented and innovative Remote AI/ML Engineer to join their dynamic, distributed team. This role focuses on developing and deploying sophisticated machine learning models to solve complex business problems and drive advancements in emerging technologies. You will be responsible for the entire ML lifecycle, from data collection and preprocessing to model development, training, evaluation, and deployment. The ideal candidate possesses a strong foundation in computer science, statistics, and mathematics, with hands-on experience in building and implementing various ML algorithms and deep learning frameworks. Responsibilities include designing and conducting experiments, feature engineering, model optimization, and deploying models into production environments. You will collaborate closely with data scientists, software engineers, and product managers to translate business needs into robust AI solutions. The ability to work independently, stay current with the rapidly evolving AI landscape, and communicate technical concepts effectively across a remote team is essential. We are looking for a proactive problem-solver with a passion for innovation and a drive to push the boundaries of what's possible with AI. This is an exceptional opportunity to contribute to groundbreaking projects and shape the future of artificial intelligence, all within a flexible, remote work setting. Your expertise will be critical in developing intelligent systems that deliver significant value. This fully remote role is associated with our client's activities in the region of Mlolongo, Machakos, KE .
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Perform data mining, feature engineering, and data preprocessing for model training.
- Evaluate and optimize model performance using various metrics.
- Deploy machine learning models into production environments.
- Collaborate with data scientists and software engineers to integrate AI solutions.
- Conduct research on state-of-the-art AI/ML techniques and algorithms.
- Build and maintain data pipelines for ML workflows.
- Troubleshoot and debug model performance issues.
- Develop and maintain documentation for AI/ML projects.
- Stay current with advancements in AI, machine learning, and deep learning.
- Contribute to the company's intellectual property through innovation.
- Present technical findings and insights to cross-functional teams.
- Master's degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying machine learning models.
- Proficiency in programming languages such as Python or R.
- Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of statistical modeling, algorithms, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities in a remote setting.
- Ability to work independently and manage complex projects.
- Experience with big data technologies (e.g., Spark) is beneficial.
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2
Junior Data Scientist - Predictive Modeling
Posted 20 days ago
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Job Description
Our client is looking for an enthusiastic and driven Junior Data Scientist to join their Graduate program. This is a fully remote internship opportunity designed to provide hands-on experience in data analysis, machine learning, and predictive modeling. You will work under the guidance of experienced data scientists, contributing to real-world projects that solve complex business problems. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, building and evaluating predictive models, and assisting in the interpretation of results. The ideal candidate has a strong academic background in a quantitative field, a foundational understanding of statistical concepts and programming, and a passion for extracting insights from data. This is a fantastic chance to launch your data science career in a supportive, remote-first environment.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop, train, and evaluate machine learning models under supervision.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on data visualization and reporting.
- Conduct statistical analysis to support findings.
- Document methodologies, findings, and code.
- Learn and apply new data science techniques and tools.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Support the deployment and monitoring of models as needed.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Basic understanding of databases and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities, suitable for remote collaboration.
- Eagerness to learn and adapt to new technologies.
- A genuine interest in data science and its applications.
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Senior Data Scientist - Predictive Modeling
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist with a specialization in predictive modeling to join their innovative research and development team. This position is entirely remote, offering the flexibility to work from anywhere within Kenya. You will be instrumental in developing and deploying advanced machine learning models that drive critical business decisions, identify new opportunities, and solve complex challenges. The ideal candidate possesses a strong analytical mindset, deep expertise in statistical modeling and machine learning, and a proven ability to translate complex data into actionable insights.
Responsibilities:
Qualifications:
This fully remote role offers a highly competitive salary and benefits package, along with the opportunity to work on challenging and impactful projects. You will be part of a forward-thinking team dedicated to leveraging data for innovation. The position is notionally based out of Kitale, Trans-Nzoia, KE , but offers complete remote flexibility.
Responsibilities:
- Design, develop, and implement sophisticated predictive models using various machine learning techniques.
- Explore and analyze large, complex datasets to identify patterns, trends, and correlations relevant to business objectives.
- Collaborate closely with product managers, engineers, and stakeholders to understand business needs and define data science projects.
- Clean, pre-process, and transform raw data into formats suitable for modeling.
- Evaluate model performance, iterate on models, and optimize for accuracy, efficiency, and scalability.
- Deploy models into production environments and monitor their performance over time.
- Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data infrastructure and tooling.
- Mentor junior data scientists and contribute to the team's knowledge base.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 7 years of experience as a Data Scientist or in a similar analytical role, with a strong focus on predictive modeling.
- Proficiency in programming languages such as Python or R, and extensive experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Deep understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and model evaluation techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong SQL skills for data extraction and manipulation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-experts.
- Demonstrated ability to work effectively in a remote, collaborative team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is advantageous.
This fully remote role offers a highly competitive salary and benefits package, along with the opportunity to work on challenging and impactful projects. You will be part of a forward-thinking team dedicated to leveraging data for innovation. The position is notionally based out of Kitale, Trans-Nzoia, KE , but offers complete remote flexibility.
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4
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 10 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
This advertiser has chosen not to accept applicants from your region.
5
AI/ML Research Scientist (Computer Vision)
Posted 23 days ago
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Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
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6
Lead AI/ML Engineer - Computer Vision
Posted 18 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge research and development team. This is a fully remote position offering the opportunity to work on groundbreaking projects at the forefront of artificial intelligence. The ideal candidate will possess a strong foundation in machine learning, deep learning, and extensive experience in developing and deploying computer vision models.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree 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 specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
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Principal AI/ML Engineer (Computer Vision)
Posted 25 days ago
Job Viewed
Job Description
Our client, a leading innovator in applied artificial intelligence and machine learning, is seeking a highly experienced and visionary Principal AI/ML Engineer with a specialization in Computer Vision to join their cutting-edge and fully remote research and development team. This senior role is critical for advancing our capabilities in areas such as image recognition, object detection, video analysis, and augmented reality. You will be responsible for designing, developing, and deploying state-of-the-art AI models and algorithms that solve complex real-world problems.
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
- Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
- Optimize model performance for scalability, efficiency, and real-time applications.
- Collaborate with cross-functional teams to define project requirements and technical specifications.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
- Contribute to the company's intellectual property through patents and publications.
- Design and conduct experiments to validate new approaches and algorithms.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
- Proven track record of developing and deploying sophisticated CV models in production.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Excellent analytical, problem-solving, and algorithmic design skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead projects in a fully remote environment.
- Demonstrated experience with large-scale datasets and distributed training.
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8
Lead AI/ML Engineer (Deep Learning)
Posted 25 days ago
Job Viewed
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.
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