1204 Probability Jobs - Page 39

Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-TimeType: Education/Training/KPO. Location: Shastradhara Road, Dehradun, Uttarakhand - 248001 ACS Networks & Technologies Pvt. Ltd. is looking for a Subject Matter Expert (SME) to guide the development of technical and non-technical solutions for our international clients. The SME will provide in-depth knowledge and expertise in a specific subject, business area, or technical domain, ensuring high-quality and insightful academic content development. About Us: ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Subjects Available: Mechanical Engineering Electrical Engineering Civil Engineering Statistics and Probability Physics Accounts Chemistry Finance Economics Key Responsibilities:· Develop high-quality academic content and solutions. Solve subject-specific queries and provide detailed explanations. Review and proofread content for accuracy, Clarity, etc.Create structured and plagiarism-free solutions. Assist in curriculum development and educational content creation. Qualifications & Skills:· Preferred Master’s/Ph.D. in the relevant subject area (Should have scored 8 CGPA or above in Post-Graduation). Strong knowledge and expertise in the chosen subject.Excellent written and verbal communication skills. Ability to research and provide detailed, step-by-step solutions. Proficiency in MS Office, MS word & MS Excel. Prior experience in academic content creation or teaching is a plus. Why Join Us? Competitive salary and growth opportunities.Exposure to global academic content development. A collaborative and learning-driven work environment.Work with a team of experts in various disciplines. How to Apply: Interested candidates can share their updated resumes at shalini.kandari@acstechnologies.net or call us 7037453282 .Join us and be a part of an innovative and knowledge-driven team at ACS Networks & Technologies Pvt. Ltd. Job Types: Full-time, Permanent, Fresher Pay: ₹15,000.00 - ₹23,500.00 per month Benefits: Health insurance Schedule: Day shift Morning shift Work Location: In person

Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis And Visualization Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication And Collaboration A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Quality Analytics. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Show more Show less

Position Overview Job Title - Information Security Analyst, NCT Location - Pune, India Role Description: Information Security Risk Analyst - TDI CSO The Technology Data Innovation (TDI) Chief Security Office (CSO) comprises both Corporate Security and Information Security. We run security operations globally to protect the bank’s people, infrastructure, processes, and information. CSO Governance and Control conducts proactive Information Security (IS) controls assess ability and applicability reviews for the emerging technologies to design adaptable IS assessment framework to appropriately assess the security requirement for relevant applications and infrastructures. The Information Security Analyst role holder is responsible for supporting the execution of the Information Security strategy. The Information Security Analyst provides data and analysis to measure the effectiveness of Information Security controls across group wide products and services. The Information Security Analyst identifies and evaluates potential areas of Information Security threats by assessing the probability and impact and facilitates feedback for mitigation. Roles within Information Security may cover one or more areas of specialty, e.g. Identity & Access Management (which may include, for example, authentication; access management & control; recertification etc.); Information Security (“IS”) Operations (which may for example include, cyber threat operations; cyber forensics, protection against data leakage etc.) and IS Technology (which may include IS architecture, IS engineering, cryptographic services etc.) What we’ll offer you: As part of our flexible scheme, here are some of the benefits that you will enjoy. Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities: Review Risk Assessment (Application/Technical Risk profile) and Assurance spot checks for Compliance evaluation of IS controls (e.g., IS/Cloud/SOx/MAS/Client Access Management/other regulatory controls) Analysis and verification of compliance issues. Analyze and identify root causes. Collect and review evidence (e.g., from de-centrally managed applications) Communicates openly with internal stakeholders; keeps them informed of potential findings and escalate problems/delays accordingly. Acts as a competent partner to stakeholders in the closure process of findings and remediation activities. Provide and prepare data / reports for stakeholders and management communication. Conduct application risk assessments and support business stakeholders to determine the CIA ratings. Focus on utilizing the capacity in an efficient and effective manner. Proactively develop and maintain professional working relationships with the CSO function and stakeholders Represent the process and provide inputs / suggestion with any challenges faced to improve the quality. Improvement and documentation of operational tracking activities Raise Business Requirements to Central Solutions run by other CSO teams. Your skills and experience: Work experience in the Information Technology area / Information security area Practical experience in Governance or Compliance Monitoring beneficial. Knowledge about basic principles of Risk, Identity and Access Management beneficial Certifications in ISO 27001 or on information security (e.g., CISSP, CISA) would be beneficial. Effective communication and strong interpersonal skills in English (verbal and written). German language would be beneficial. Positive attitude and proactive behavior with diligence and precision Self-driven, eager to learn, well organized collaborator to integrate with heterogeneous teams. Structured way of thinking and working with good analytical and critical thinking skills Ability to monitor, track and clearly communicate progress, escalate issues when appropriate, not shunning to address issues to higher management levels. Experience in Excel (advanced), added advantage to languages such as Python/VB/SQL etc., How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

As an AI Product Manager, you will oversee project delivery to ensure high quality and client satisfaction, manage client relationships, and lead high-performing teams. Tech Skills - Intermediate to advance knowledge in - AI systems, Integration of AI systems with workflows Gen AI technologies (Information retrieval, Summarization, Orchestration) and Agentic AI platforms Full-stack product design Project management methodologies and tools Probability and Statistics Practical Machine Learning, including key pitfalls and approaches to address them Deep Learning algorithms SQL and Python MS Office applications – Excel and PowerPoint Non-Tech Skills - Strong business acumen with an ability to assess financial impact of decisions – both in the operations of running the delivery team and in the context of delivering solutions to clients Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on-board to pursue them, balancing priorities of time with potential business impact Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation Leadership and mentorship to the delivery team Ability to storyboard presentations effectively and hold conversations with senior executives in client businesses Self-driven with a strong sense of ownership Solution proposals, collaborating with growth, customer success and central solutioning functions Ability to hold conversations with senior and C-suite level executives in client businesses Show more Show less

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data analysis: Perform a comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment and monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Requirements Bachelor's degree (B. E. / B. Tech) in Computer Science or equivalent from a reputed institute. Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. This job was posted by Shashank Patil from Oneture Technologies. Show more Show less

Job Description What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, our invaluable quantitative perspectives on complex financial and technical challenges power the business decisions. Within SPG, our team is responsible for utilizing modern and sophisticated quantitative techniques to enhance and further develop custom basket offering. This includes applying quantitative analysis for creation of custom baskets along with automation of our quoting, hedging and risk management activities. Your Impact You’ll be part of a diverse and talented team, applying your advanced scientific training to tackle new and exciting problems within our Synthetic trading business. Role Responsibilities Develop and maintain quantitative analytical tools for SPG Custom baskets business Development of robust quoting and pricing infra Identify opportunity to improve sales and trading efficiency through automation and tooling Scale the business by increasing automated risk management for exposures to Equity, FX etc Collaborate closely with the trading team to ensure daily accurate risk management Form strong partnerships with trading, sales, quants, operations and engineering teams Who We Look For An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions. Basic Qualifications Strong academic background in a relevant field Mathematics, engineering, computer science, or economics background, including a quantitative understanding of statistics and probability Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object-oriented design principles Ability to work as a member of a global team and deliver results quickly Strong interpersonal/communication skills Ability to focus both on details and on the big picture Ability to work in a dynamic and fast- paced environment and deliver accurate results quickly Ability to solve problems and to explain underlying ideas Preferred Qualifications Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Position: Sales Specialist Industry: IT Hardware / IT Infra Job Description: 1. Responsible for acquiring and developing new business from IT Infrastructure. 2. Business plan for increasing the probability of the division, through direct sales. 3. Experience in selling Enterprise Solution which includes (IT Product and Solution sales, Laptop, Desktop, Printers, Workstations, Data-center solution, Storage, Server Sales, and Networking Solutions). 4. Ability to interact at CXO levels in an organization. 5. Building and maintaining a network of public and private customer contacts. 6. Close deals for the leads, responsible for payment collection. 7. Researching customer's profile for accurate positioning giving effective and Skillful Presentations. Requirement: 1. Candidate must possess 2-6 yrs. of experience in selling IT Hardware / Software / Infra Products. 2. Having exposure in Enterprise sales. 3. Excellent verbal communication skills. 4. Should be result oriented and target driven Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,500,000.00 per year Benefits: Paid time off Compensation Package: Commission pay Performance bonus Yearly bonus Schedule: Day shift Fixed shift Work Location: In person Speak with the employer +91 7021648273

Location: Bengaluru, KA, IN Company: ExxonMobil About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team Reliability Engineer at Bangalore Technical Center (BTC) will provide Reliability support to ExxonMobil Upstream, Midstream and Downstream Assets across the globe What you will do Knowledgeable and hands on practice in performing the below activities: Criticality Assessment Equipment Strategy development – Fleet based, RCM Based Data analysis techniques that can include: Reliability modeling and prediction Fault Tree Analysis Weibull Tree Analysis Root-Cause Failure Analysis Single Point of Failure studies LCCA (Life Cycle cost Analysis) Unplanned Volume Loss Analysis RAM Analysis Reliability Analytics PMO- PM Optimization Work with Project Reliability/Engineering to ensure the reliability and maintainability of new and modified installations. Guide efforts to ensure reliability and maintainability of equipment, processes, utilities, facilities, controls, and safety/security systems. Professionally and systematically define, design, develop, monitor, and refines an Annual Maintenance Plan Experience in value-added preventive maintenance tasks Effective utilization of predictive and other non-destructive testing methodologies designed to identify and isolate inherent reliability problems. Provide input to a Risk Management Plan that will anticipate reliability-related, and non-reliability-related risks that could adversely impact plant operation. Develop engineering solutions to repetitive failures and all other problems that adversely affect plant operations. These problems include capacity, quality, cost or regulatory compliance issues. Works with site team to perform analyses of assets including: Asset Utilization Overall Equipment Effectiveness Remaining useful life Other parameters that define operating condition, reliability, and costs of assets Provide technical support to production, maintenance management and technical personnel About You Skills and Qualifications. Bachelor’s degree in electrical, Mechanical, Instrumentation Engineering, Chemical, Reliability from recognized university Minimum 3 years of experience in Reliability/ electrical/ Mechanical/ Instrumentation Engineering/ Chemical in manufacturing sector (Preferably Oil& Gas, Chemicals, Energy, Fertilizers, Automobiles). Demonstrate effective communication, facilitation skills. Work Experience in Oil and Gas/Energy sector field. Experience using statistical and probability methods and tool Problem-solving Critical thinking Analytics Logical thinking Exceptional organizational and communication skills Proven leadership skills Ability to multitask and prioritize workloads Preferred Qualifications/Experiences Knowledge of reliability engineering concepts such as Reliability centered maintenance, lifecycle asset management, risk management, criticality assessment, equipment strategies, RCFA, Bad Actor identifications, Single Point of failure studies, Life cycle cost analysis (LCCA). Should have done RCM/Criticality Assessment, RAM, Equipment Strategies before Should not have attended an interview for Reliability Engineer position in the last 1 year. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Job Segment: Sustainability, Risk Management, Manufacturing Engineer, CSR, Engineer, Energy, Finance, Engineering, Management

Designation: Associate Technical Lead- R&D Experience: 4-8 years Location: Bangalore/Mangalore/Sri Lanka/Indonesia About Tetherfi: At Tetherfi, we create intelligent solutions that drives business and increase productivity. We combine industry expertise, technological capabilities and human-centred approach to help businesses evolve from thinking digital to being digital. The Right Individual: We are looking for an Associate Technical Lead who would lead and work alongside a growing research and development team to improve existing products and build new products. The ideal candidate would be someone with understanding of data structures, data modelling and software architecture. Role & Responsibilities: You will lead and work within a growing research and development team to improve existing and build new products. Your role will be to develop or enhance innovative products and applications for the company. You will also conduct lot of research and solve a variety of problems that have never been solved before. Ideally, you are a detail-oriented, self-motivated individual and enjoy dealing with challenging problems. Ability to make decisions and take responsibility for projects and tasks Willingness to learn and grow professionally in a team environment. Your role will be to fully research, design, implement, test and demonstrate the results. Your role will be preparation for demos and proof of concepts with latest technologies. You will be required to have grooming, mentoring and managerial skills for this role. Expected Functional Skills: 4-8 years of work experience in the field of software engineering and research. Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in python. Fluent in one of following programming languages: Python , C#, Javascript. Experience on AI/ML technologies and familiarity with contemporary Cloud Architectures, Virtualisation and Containerisation methods, tools, and techniques Basic understanding on networking protocols and concepts. Good understanding on design patterns. Willing to learn new technologies and programming languages quickly. Experience working on large scale software projects. Working knowledge of building deep learning NLP, Computer Vision Models for classification and object detection. Proficient in AWS/GCP cloud platforms, exposure in fetching data from various sources Job Type: Full-time Pay: ₹2,000,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Experience: AI/ML: 4 years (Required) Python: 4 years (Preferred) Cloud architecture: 4 years (Preferred) Work Location: In person

Position - Machine learning Engineer Location - bengaluru Mandatory Criteria Strong foundation in computer vision algorithms, ML architectures, data structures, and object-oriented programming. Atleast 2years of experience in Machine Learning, Computer Vision, and Point Cloud technologies is a must. Proficiency in Python, C/C++, or JavaScript. Experience with Caffe, TensorFlow, PyTorch, or other ML frameworks. Deep understanding of advanced image processing concepts. Familiarity with computer vision libraries. Proven ability to develop custom algorithms using computer vision, ML, and foundational models. Solid grasp of mathematical concepts like probability, numerical methods, and linear algebra. Expertise in developing high-volume, high-scalability computer vision algorithms. Proficiency in CI/CD workflows. Experience leading a computer vision project from concept to deployment If interested pls share resume Job Type: Full-time Pay: ₹200,000.00 - ₹3,500,000.00 per year Schedule: Day shift Work Location: In person

Job description Job Profile -- Data Science trainer ( Full-time ) SkillCircle is seeking a passionate and experienced Data Science Trainer to join our team. The trainer will be responsible for delivering high-quality training sessions to students, professionals, and corporate clients, helping them gain expertise in data science concepts, tools, and applications. The ideal candidate should have strong technical knowledge, hands-on experience, and excellent teaching abilities. Key Responsibilities: Design, develop, and deliver comprehensive training programs on Data Science, Machine Learning, Artificial Intelligence, and related technologies . Conduct interactive and engaging training sessions, both online and offline, for individuals and corporate clients. Explain complex concepts in a simplified and practical manner to cater to learners from different backgrounds. Provide hands-on training using Python, R, SQL, Tableau, Power BI, and cloud platforms like AWS/GCP/Azure. Develop and update course materials, including presentations, assignments, case studies, and projects . Guide students on real-world projects, capstone projects, and industry case studies . Evaluate students' performance, provide feedback, and help them improve their technical skills. Stay updated with the latest trends and advancements in Data Science, AI, and ML to enhance the training curriculum. Assist in curriculum development and enhancement based on industry demands. Conduct doubt-clearing sessions, mentorship programs, and career guidance for learners. Collaborate with the SkillCircle team to organize workshops, webinars, hackathons, and boot camps . Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field . 2+ years of experience in Data Science, AI, or Machine Learning , with at least 1 year of training/teaching experience . Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), R, SQL, and data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) . Strong knowledge of statistics, probability, data preprocessing, feature engineering, model building, and evaluation techniques . Hands-on experience with Machine Learning, Deep Learning, and NLP . Knowledge of Big Data technologies (Hadoop, Spark) and Cloud Computing (AWS, GCP, Azure) is a plus. Excellent communication, presentation, and public speaking skills. Ability to motivate, mentor, and guide students in their learning journey. Strong problem-solving skills and a passion for teaching. Benefits & Perks: Opportunity to work with a dynamic team and grow in the EdTech industry . Access to SkillCircles premium courses and learning materials. Networking opportunities with industry experts. Excellent learning culture, no work pressure Performance based incentives Job location - Gurugram Salary - Open to negotiate IMMEDIATE JOINERS , Or Notice period under one week will be preferred. You can directly reach out on ( 88104 42847) and (Ishika@skillcircle.in) Show more Show less

Applied Scientist II Bangalore, Karnataka, India Date posted Jun 01, 2025 Job number 1827424 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are the computational advertising team in the Microsoft AI organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. The Applied Scientist II will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. They will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience implementing machine learning algorithms or research papers from scratch. Experience with TensorFlow/PyTorch and deep learning models. #MicrosoftAI Responsibilities Design and develop large scale online and offline platform tools for Ads related products. Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact to stake holders . Architect new designs and develop features for cloud-based applications. Analyze Giga/Tera bytes of logs and create observation/opportunities and avenues of improvements in the system. Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stake holders. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.