2 Remote AI Ml Engineer Predictive Modeling jobs in whatjobs
Remote AI/ML Engineer - Predictive Modeling
Posted 17 days ago
Job Viewed
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.
This advertiser has chosen not to accept applicants from your region.
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Remote AI/ML Engineer - Predictive Modeling
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative AI/ML Engineer to join their advanced research and development team, operating on a fully remote basis. This role is at the forefront of applying artificial intelligence and machine learning techniques to solve complex business challenges and drive innovation in emerging technologies. You will be responsible for designing, developing, and deploying machine learning models, working with large datasets, and collaborating with cross-functional teams to bring novel AI-driven solutions to life. The ideal candidate possesses a strong theoretical foundation in AI/ML, practical experience in model development and deployment, and excellent skills in programming and data science. This is a remote-first position requiring exceptional autonomy and communication capabilities.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, train, and deploy machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Clean, preprocess, and analyze large, complex datasets to extract meaningful features and insights.
- Develop and implement robust data pipelines for model training and inference.
- Evaluate model performance using appropriate metrics and iterate on models to improve accuracy and efficiency.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Collaborate with product managers, software engineers, and domain experts to define project requirements and translate them into technical solutions.
- Develop and maintain scalable ML infrastructure and MLOps pipelines.
- Conduct experiments and research to explore new algorithms and approaches.
- Document code, models, and experiments thoroughly.
- Present technical findings and project progress to both technical and non-technical stakeholders.
- Ensure ethical considerations and bias mitigation are addressed in AI models.
- Contribute to the overall AI strategy and roadmap of the organization.
- Mentor junior team members and foster a culture of innovation.
- Participate actively in remote team meetings, brainstorming sessions, and code reviews.
- Troubleshoot and resolve issues related to AI/ML systems in production.
Qualifications:
- MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- A minimum of 7 years of hands-on experience in developing and deploying machine learning models in production environments.
- Proficiency in programming languages such as Python, R, or Scala.
- Deep understanding of ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong knowledge of various ML algorithms, including supervised, unsupervised, and reinforcement learning.
- Experience with data manipulation and analysis tools (e.g., Pandas, SQL).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and manage complex projects in a remote setting.
- Outstanding verbal and written communication skills, essential for remote collaboration.
- Experience with MLOps practices and tools is highly desirable.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Must be self-motivated, curious, and passionate about pushing the boundaries of AI.
This advertiser has chosen not to accept applicants from your region.
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