1 to 25 of 592 Remote Algorithms Jobs

Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning models or developing algorithms for business applications in a customer-facing domain Familiarity with causal inference techniques and concepts Experience communicating complex topics and results to high-level stakeholders More ❯

seamless user experiences. Research & Innovation: Stay updated on advancements in generative AI, LLMs, embeddings, and RAG technologies to enhance existing systems. Experiment with new algorithms and frameworks to drive innovation in AI-powered applications. Required Skills & Qualifications Technical Expertise: Minimum of 8 years of work experience with hast 4 years More ❯

new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets. Analyze data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g., SAS, SPSS, and Oracle); build analytical solutions using programming languages (e.g., R, Python, SAS), and programming libraries (e.g., Python SciKit More ❯

code quality, serving as a mentor for team members on best practices. Collaborate with data scientists and AI engineers to integrate AI models and algorithms into software applications. Architect and implement scalable microservices and RESTful APIs aligned with business requirements. Ensure the performance, security, and reliability of applications throughout their More ❯

and integration. Key Responsibilities Collaborate with clients to identify business challenges and opportunities for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing More ❯

and orchestration using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent RL environments More ❯

and APIs ideally with REST, Kafka or gRPC. Experience working in an agile development team or on open-source development projects. Experience with optimization, algorithms, or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud. Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also More ❯

teams, including data translators and business stakeholders, to align data science initiatives with strategic objectives. Skilled in deploying, monitoring, and refining predictive models and algorithms to drive continuous product improvements and strategic decision-making. Openness to working in agile environments with multiple stakeholders, experienced in SAF methodologies. Professional attitude and More ❯

Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver More ❯

5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive More ❯

looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. You will be working with large, complex, and unique datasets to solve a wide range of More ❯

degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch More ❯

development methodology. The candidate will collaborate with technical staff to implement software architecture, perform coding, integration, and testing. Responsibilities include: - Supporting the development of algorithms for threat detection and decision support - Implementing and supporting software for real-time control of hardware, including cameras and radar systems - Assisting third parties in More ❯

Python and SQL, with the ability to write production-quality code deployable on cloud platforms. Demonstrated experience in deploying machine learning and deep learning algorithms into production environments. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Familiarity with Investment Management, particularly Morningstar's mutual fund More ❯

math and modeling tools (Matlab, STK) • Experience developing software in Cloud Computing environments (AWS) • An aptitude for developing code for math and physics-based algorithms • Strong communication skills, both written and verbal • The candidate should possess a high degree of ethics, an optimistic outlook, and have the ability to work More ❯

data science and machine learning projects 4+ yrs of coding experience in Python Science background with strong ML skills Experience in AI and ML algorithms Experience working with experimental data sets, data mining, and machine learning tools such as PyTorch and TensorFlow Understanding of biopharmaceuticals process and related unit operations. More ❯

Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines and data models Ability to interpret business requirements into robust, scalable data solutions Excellent analytical skills and attention to More ❯

Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines and data models Ability to interpret business requirements into robust, scalable data solutions Excellent analytical skills and attention to More ❯

TDD and passionate about clean code principles Proficiency in programming in Java, Python, JavaScript or React Solid understanding and experience of using data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming More ❯

will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio More ❯

work in a multi-disciplinary team and will have the opportunity to be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development. Responsibilities: Build and optimize ML models for biological age determination and disease stratification based on epigenetic data; Work with More ❯

CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯

CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯

following Knowledge of fraud and/or financial crime. Experience with building Python data visualization apps using things like Plotly Dash. Knowledge of clustering algorithms and the problems they can help solve. Experience with cloud platforms especially, GCP. About working for us Our focus is to ensure we are inclusive More ❯

CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯