7 Classification Algorithms Jobs

As a C# .NET Developer specializing in Computer Vision Projects, you will be responsible for developing and implementing cutting-edge solutions that leverage your expertise in C# and .NET technologies. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, coupled with a minimum of 3 years of hands-on experience in C# and .NET Core/Framework. Your role will involve working on desktop applications with hardware integration, as well as integrating AI/ML models into applications. A strong grasp of software engineering principles, design patterns, and object-oriented programming is essential for success in this position. You should also have experience working with cloud platforms such as Azure or AWS for deploying computer vision models, along with proficiency in SQL and NoSQL databases. Additionally, expertise in API development and integration using RESTful services is crucial. Knowledge of multithreading, real-time application development, and familiarity with computer vision libraries like OpenCV or Emgu CV will be beneficial. Ideally, you should also have an understanding of image processing, object detection, and classification algorithms. If you are passionate about leveraging your skills to drive innovation in the realm of computer vision projects, this position offers an exciting opportunity to make a significant impact.,

You will be working as a hands-on engineer, developing new features and fixing bugs for an internal machine learning model that identifies errors in vehicle telematics. You will be part of an Agile scrum team, collaborating on various modules or subsystems of the test framework. As an expert in Python, you will utilize your knowledge in popular machine learning libraries and frameworks such as TensorFlow, Keras, and scikit-learn. Your proficiency in clustering algorithms like K-means and hierarchical clustering will enable you to group similar data points effectively. Additionally, your expertise in classification algorithms such as decision trees, support vector machines, and random forests will be crucial for tasks like image recognition, natural language processing, and recommendation systems. Your experience with databases, both relational and non-relational like MySQL, along with your ability to design database schemas and optimize queries, will contribute to efficient data retrieval. Strong knowledge in Object-Oriented Analysis and Design, Multi-threading, Multi-process handling, and Memory management will be essential for the role. You should also have a good understanding of model evaluation metrics and techniques, as well as experience in deploying machine learning models to production environments. Being a part of an Agile scrum team, you should be proficient in using version control systems like Git for collaborative development. Desired skills include knowledge of RESTful API design, experience in developing web applications using Flask or Dash, and familiarity with automotive communication protocols like SOME-IP, CAN, Flexray, MOST, and Ethernet. Excellent communication skills are a must-have for this role.,

At Capgemini Engineering, as a part of the global team of engineers, scientists, and architects, you will have the opportunity to collaborate with the world's most innovative companies and contribute towards unleashing their potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking and providing unique R&D and engineering services across all industries. Embark on a career full of possibilities where every day is a new challenge. Your role will require expert knowledge in Python and proficiency in popular machine learning libraries and frameworks such as TensorFlow, Keras, and scikit-learn. You should have a deep understanding and practical application of clustering algorithms like K-means and hierarchical clustering for grouping similar data points. Additionally, expertise in classification algorithms such as decision trees, support vector machines, and random forests for tasks like image recognition, natural language processing, and recommendation systems will be essential. Moreover, you should be proficient in working with databases, both relational and non-relational like MySQL, including experience in designing database schemas and optimizing queries for efficient data retrieval. A strong foundation in areas like Object-Oriented Analysis and Design, multi-threading, multi-process handling, and memory management will be advantageous. You are expected to possess good knowledge of model evaluation metrics and techniques and have experience in deploying machine learning models to production environments. Being a part of an Agile scrum team, you should be adept at using version control systems like Git for collaborative development. Your primary skills should include excellent Python coding abilities, strong communication skills, and expertise in data modeling and popular machine learning libraries and frameworks. Join Capgemini, a global business and technology transformation partner dedicated to accelerating organizations" transition to a digital and sustainable world. With a diverse team of over 340,000 members in more than 50 countries and a strong heritage of over 55 years, Capgemini is committed to delivering value through technology for its clients. From strategy and design to engineering, the organization offers end-to-end services and solutions leveraging AI, cloud, and data capabilities, along with deep industry expertise and a strong partner ecosystem. If you are looking to make a tangible impact on enterprises and society while working in a dynamic and innovative environment, Capgemini Engineering offers a platform where your skills and expertise can thrive.,

Build advanced NLP capabilities for Case Discovery. Designing & improving analytics algorithms. Lead the development of AI/ML models. Collaborate with technology, legal, and business teams to ensure seamless integration of analytics. Required Candidate profile 8+ years of experience in DA, AI/ML Exp in classification algorithms and functional approximation Strong expertise in Data Eng & predictive analytics Experience in Credit Models & Insights Development

You should have around 3 years of experience working as an NLP Engineer or in a similar role where you have demonstrated an understanding of NLP techniques for text representation and semantic extraction. Your expertise should also extend to data structures and modeling, enabling you to effectively design software architecture. A deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, as well as statistics and classification algorithms is essential for this role. Your proficiency in Python is crucial, along with a solid grasp of data structures and algorithms. Experience with Machine Learning Libraries such as scikit-learn, PyTorch, and TensorFlow will be highly beneficial. As a Python AI/ML Developer, you should possess an analytical mind with strong problem-solving abilities to excel in this position.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

AVIZVA is a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing the way healthcare enterprises deliver care. Since its establishment in 2011, AVIZVA has been a key strategic enabler for healthcare enterprises, enhancing their overall care delivery through tailored products and services. With over 13 years of expertise, AVIZVA has successfully engineered more than 150 products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. As an Associate Manager - Applied Machine Learning at AVIZVA, you will play a crucial role in architecting, designing, and developing advanced GenAI products and services. This position requires a strong technical background in machine learning coupled with leadership skills to drive the team towards success. Your responsibilities will include contributing to the development of Large Language Model (LLM) based products, integrating GenAI and traditional machine learning approaches to meet key product requirements. Collaboration with cross-functional teams, such as product managers and business leaders, will be essential to deliver scalable machine-learning solutions that align with business needs. Your role will involve setting clear goals and priorities for the team, overseeing the lifecycle of GenAI projects, addressing technical and operational challenges, and ensuring seamless deployment of models into production environments. Embracing a culture of continuous improvement, you will lead the team in delivering high-quality results while maintaining a collaborative work environment. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science or a related analytical field. A minimum of one year of experience in Gen AI, Agentic AI, and Large Language Models (LLMs) is required, along with hands-on experience in building RAG (Retrieval Augmented Generation) pipelines. Proficiency in NLP, NLG, Text Analytics, and working with Transformer-based models like BERT is essential. Additionally, you should have over 10 years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python, system design, and architecture. Your technical skills should encompass a strong command of Core Python, advanced Python libraries like PyTorch and FAST API, as well as experience with classification and clustering algorithms, ensemble models, and object-oriented programming. Familiarity with ORM tools, debugging, testing frameworks, front-end fundamentals, and Agile methodology will be beneficial for the role. Excellent communication and problem-solving skills are also key attributes for success in this position.,