12 jobs found for Machine Learning

Exp: 3-9 YrsSkills: Data Scientist, Machine Learning, Python, PysparkLocation: Bangalore

Exp: 8-12 YrsSkills: Data Scientist, Machine Learning, Python, Pyspark, ManagerLocation: Bangalore

At least 5 years of experience as a senior leader and managing Data Engineering and Data Science Team members.8+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production.Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm executionAbility to explain and present analyses an

You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.How you will contributeYou will:• Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In

Responsibility:● Provide AI software engineering knowledge and technical expertise to deliverunique software and applications.● Productionalize state-of-the-art research into maintainable and well-engineered AIsoftware.● Improve AI/Machine learning models by conducting experiments and analyzingresults to address business requirements.● Coordinate with various teams to solve problems efficiently and effectively.● Collaborate with other engineers and scienti

Bachelor’s degree in a quantitative research field, such as computer science, datascience, statistics, mathematics, biological/physical sciences, etc.● 1-2 years code development/research experience in a business setting● Strong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)● Ability to communicate complex results and findings in a clear and concise manner to awide range of business audiences, both technical and non-technical● Excelle

Skill, Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.2-4 years code development/research experience in a business settingStrong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)Excellent verbal and written communication skillsExcellent software engineering fundamentalsExcellent debugging skillsExcellent machine

7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) -       Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods -       Experience working with tools like Spark and Data bricks -       Experience in Data analysis using Machine Learning techn

Develop and deliver the most appropriate analytics techniques to address clinical questions and problems (text mininganalysis, data visualization, data mining, statistical modeling, machine learning) in response to NNI stakeholder requeststhat are funneled through RWE Leads.Keeps updated with newer analytic techniques and platforms, and their adaption into the real world setting; implementthese techniques / platforms and describe the rationale for their im

5+ experience in - Proficiency in at least one programming language commonly used in ML, such as Python/R - Experience with data manipulation libraries like Pandas and NumPy. -Must Have experience working with about Snowflake, Data Brics & Azure - Strong understanding and practical experience with popular ML libraries and frameworks, such as TensorFlow or PyTorch. - Familiarity with scikit-learn for traditional machine learning algorithms. - Understanding

Director- Data Analysis and Operations ResearchObjectives and Responsibilities-Director - Data Analysis and Operations Research (OR) is responsible for the creation of new data sciences capabilities for the business by envisioning and executing  strategies that will influence improvement of the business’s performance by enabling informed decision making. The person is expected to design and maintain data systems, databases using statistical tools to interp

Position Overview: We are seeking an exceptional Senior Business Analyst withexpertise in artificial intelligence (AI), machine learning (ML), and large languagemodels (LLMs) to join our team. This role demands excellent communication skills,as it involves direct interactions with our C-suite executives to support strategicdecisions and drive our business forward. The successful candidate will beinstrumental in analyzing complex data, deriving actionable i