1071 Llm Jobs - Page 33

About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: We are currently seeking an experienced Manager, Data Science, to lead our growing Data Science team. The role involves overseeing the development and implementation of advanced data science techniques to improve media campaigns and enhance our AI-powered solutions. The manager will collaborate with cross-functional teams, providing leadership in analyzing and defining audience, campaign, and media trading data. Key Responsibilities: 1) Team Leadership & Management: Lead and mentor a team of data scientists, providing guidance in the design, development, and implementation of innovative data solutions. Foster a collaborative and high-performance team culture, ensuring the team is aligned with business goals and technical objectives. 2) Advanced Analytics & Data Science Expertise: Drive the application of statistical, econometric, and Big Data methods to define business requirements, design analytics solutions, and optimize economic outcomes. Utilize advanced modeling techniques, including propensity modeling, Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Bayesian statistics to enhance campaign effectiveness. 3) Generative AI & NLP Leadership: Lead the implementation and development of Generative AI(GenAI), Large Language Models(LLM), and Natural Language Processing (NLP) techniques for data modeling and predictive analysis. Ensure the integration of AI-driven technologies to improve data science capabilities and results. 4) Data Architecture & Management: Architect and manage data systems, integrating data from diverse sources, ensuring the optimization of audience, pricing, and contextual data for ad-tech applications. Oversee the management and utilization of DSPs, SSPs, DMPs, and other critical systems in the ad-tech ecosystem. 5) Cross-Functional Collaboration: Work closely with teams from Product, System Development, Yield, Operations, Finance, Sales, and Business Development to ensure seamless data quality and predictive outcomes across campaigns. Design and deliver actionable insights and reporting tools for both internal and external business partners. 6) Predictive Modeling & Optimization: Lead the development of predictive models to optimize media campaigns, focusing on revenue, audience behavior, bid actions, and ad inventory optimization. Analyze campaign performance and provide data-driven recommendations for optimization across multiple media channels, including websites, mobile apps, and social media. 7) Data Collection & Quality Assurance: Oversee the collection, management, and quality assurance of data, ensuring high standards and efficient systems for in-depth analysis and reporting. Lead the development of tools and methodologies for complex data analysis, model development, and visualization to support business objectives. Qualifications & Skills: Masters or Ph.D. in Statistics, Engineering, Science, or Business, with a strong foundation in mathematics and statistics. 10 to 15 years of experience in data science, predictive analytics, and digital analytics, with at least 7 years of hands-on experience in modeling, analysis, and optimization within the media, advertising, or tech industry. At least 6 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Strong proficiency in data collection, machine learning, and deep learning techniques using tools such as Python, R, Pandas, scikit-learn, Hadoop, Spark, MySQL, SQL and AWS S3. Experience working with DSPs, SSPs, DMPs, and other programmatic systems in digital advertising. Expertise in statistical modeling, customer segmentation, persona building, and predictive analytics. Advanced understanding of programmatic media optimization, audience behavior, and pricing strategies. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in designing analytics dashboards, visualization tools, and reporting systems. Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. An interest in working in a fast-paced, dynamic environment, focused on revenue and analytics in the digital media space. Relocation to Mysuru or Bengaluru required.

Use cases using LLM models and in-production Current LLM challenges and options to discuss Bring in a new use case approach using LLM models Dev methodology in AI use cases Cost optimization using various models Routing scenarios in using models

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

Proficiency in Python, TensorFlow, PyTorch, . o Experience with NLP, machine learning algorithms, and data preprocessing. o Knowledge of containerization and orchestration tools is a plus.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Overlap Required : 4 hours Pst

Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Overlap Required : 4 hours Pst

Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Overlap Required : 4 hours Pst

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team.This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems.This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems.- Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities.- Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets.- Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming.- Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms.- Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps.- Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes.- Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency.- Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus.- AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python).- Experience with data manipulation and analysis tools.- Knowledge of software testing methodologies.- Contributions to open-source projects Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team.This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems.This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems.- Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance.- Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities.- Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets.- Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming.- Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms.- Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps.- Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes.- Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency.- Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning.- Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus.- AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python).- Experience with data manipulation and analysis tools.- Knowledge of software testing methodologies.- Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team.This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems.This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems.- Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance.- Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities.- Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets.- Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming.- Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms.- Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps.- Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes.- Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency.- Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning.- Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus.- AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python).- Experience with data manipulation and analysis tools.- Knowledge of software testing methodologies.- Contributions to open-source projects

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

Mandatory Skills: Bachelor's degree in Computer Science, Information Technology, AI/ML or related field 2-5 years of experience in working with NLP / LLMs Experience with Fine Tuning and Retraining LLM's. Highly Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications Experience about NLP, LLMs - Falcon, LLama, Langchain, Palm2, Text annotation and Information extraction Experience Vector Databases like Pinecone, Waviate, Chroma , Faiss. Experience in deep learning frameworks like PyTorch/ Tensorflow Strong experience with Python, good programming and problem solving skills Preferred Skills : Experience with Machine Learning, Model Versioning and Deployment. Good knowledge of Cloud Deployment Knowledge about Computer Vision

Job Title: Senior AI Automation Exp : 5 Years to 10 Years Location : Remote. About the Company: Galileo is the leading platform for Gen AI evaluation and observability, with a mission to democratize building safe, reliable and robust applications in the new era of AI powered software development. Our foundation is built on pioneering the early technology behind the world's most ubiquitous AI applications including Apple's Siri and Google Speech. We firmly believe that AI developers require meticulously crafted, research-driven tools to create trustworthy and high-quality generative AI applications that will revolutionize our work and lifestyle. Galileo addresses the complexities inherent in implementing, evaluating, and monitoring GenAI applications, optimizing the development process for both individual developers and teams by offering a comprehensive platform that spans the full AI development lifecycle. Galileo bridges critical gaps, significantly enhancing developers' ability to refine and deploy reliable and precise GenAI applications. Since its inception, Galileo has rapidly gained traction, serving Fortune 100 banks, Fortune 50 telecom companies, as well as AI teams at prominent organizations such as Reddit and Headspace Health, among dozens of others. Galileo has AI research at its core, with the founders coming from Google and Uber where they solved challenging AI/ML problems in the Speech, Evaluation and ML Infra domains. It is now a Series B business backed by tier 1 investors including Battery Ventures, Scale Venture Partners, and Databricks Ventures, with $68M in total funding. We are headquartered in San Francisco with locations such as New York and Bangalore, India forming our areas of future growth. Responsibilities Understand GenAI at a sufficient level of curiosity and usage (beyond simple applications such as using ChatGPT Such as understanding and usage of LangChain, LangGraph, CrewAI, OpenAI APIs etc. Be able to quickly understand our product hosted at https://app.galileo.ai/ Be able to write automated testing scripts for the UI layer and for various API (or Backend) layers REST, Python) and our SDKs Python and Typescript. These could be unit test cases, functional test cases or integration tests Main goal will be to increase our test coverage and hence improve the quality of us product. Can work in a fast-paced environment and can get ideas quickly off the ground with minimal support (ideally has experience working in a mix of large enterprises and startup experience) Skill Requirements Testing Frameworks like Playwright/Selenium, PyTest Programming languages: Python, Typescript Basic understanding of LLM (OpenAI/Gemini/) API and SDK Basic understanding of AI frameworks like Langchain, CrewAI etc. If you are passionate about applying your experience in the AI/ML field to an emerging and advancing field of Generative AI, this is a great opportunity for you. You will get to work on a ground breaking product poised to revolutionize the way companies approach LLM Evaluations.

Job Title : Senior Software Engineer. Exp: 5 Years to 10 Years Location : Remote. About the Company: Galileo is the leading platform for Gen AI evaluation and observability, with a mission to democratize building safe, reliable and robust applications in the new era of AI powered software development. Our foundation is built on pioneering the early technology behind the world's most ubiquitous AI applications including Apple's Siri and Google Speech. We firmly believe that AI developers require meticulously crafted, research-driven tools to create trustworthy and high-quality generative AI applications that will revolutionize our work and lifestyle. Galileo addresses the complexities inherent in implementing, evaluating, and monitoring GenAI applications, optimizing the development process for both individual developers and teams by offering a comprehensive platform that spans the full AI development lifecycle. Galileo bridges critical gaps, significantly enhancing developers' ability to refine and deploy reliable and precise GenAI applications. Since its inception, Galileo has rapidly gained traction, serving Fortune 100 banks, Fortune 50 telecom companies, as well as AI teams at prominent organizations such as Reddit and Headspace Health, among dozens of others. Galileo has AI research at its core, with the founders coming from Google and Uber where they solved challenging AI/ML problems in the Speech, Evaluation and ML Infra domains. It is now a Series B business backed by tier 1 investors including Battery Ventures, Scale Venture Partners, and Databricks Ventures, with $68M in total funding. We are headquartered in San Francisco with locations such as New York and Bangalore, India forming our areas of future growth. Responsibilities Understand GenAI at a sufficient level of curiosity and usage (beyond simple applications such as using ChatGPT such as understanding and usage of Lang Chain, Lang Graph, Crew AI, OpenAI APIs etc. Be able to quickly understand our product hosted at https://app.galileo.ai/ Have 5 years of experience working on Product Engineering teams building service oriented or general micro services-based applications using Python Can work in a fast-paced environment and can get ideas quickly off the ground with minimal support (ideally has experience working in a mix of large enterprises and startup experience). Skill Requirements Programming languages: Python and Typescript Basic understanding of LLM (OpenAI/Gemini/) API and SDK Basic understanding of AI frameworks like Langchain, CrewAI etc. Has some exposure and understanding of Observability and Reliability (such as familiarity with OTEL, understanding of SLOs) Has some degree of familiarity with Cloud environments such as Azure, GCP and AWS If you are passionate about applying your experience in the AI/ML field to an emerging and advancing field of Generative AI, this is a great opportunity for you. You will get to work on a ground breaking product poised to revolutionize the way companies approach LLM Evaluations. Join our team at Galileo and help us build the future of Evaluations in Generative AI.

About the Role: Grade Level (for internal use): 10 The Role Project Manager, Collection Platforms and AI The Team Collection Platforms and AI team is responsible for driving key automation projects, AI/ machine learning based solutions, collection platforms and lean initiatives across Enterprise Data Organization. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in-house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our clients need to do decisions with conviction, delivering it faster and on a scale while maintaining the highest quality standards. The Impact This role will be a part of IT Product Management and will work in a team responsible for leading the project management side of strategic initiatives related to the area of Data Science, ML, Gen AI /LLM based solutions. The role involves creating and maintaining the momentum with stakeholders, focusing on value and incremental results while continuously looking for the latest and newest technologies and machine learning solutions available for various uses cases across the Market Intelligence Division. Whats in it for you: You will be part of a team at the center of the transformation of a Fortune 500 company. You will be spearheading the strategic projects, witnessing the whole project life cycle, and deploying the end-to-end machine learning based data extraction solution. You will be working closely with stakeholders of various teams to understand their business challenges and to provide cuttingedge solutions to them. You will be getting immense exposure to commercial discussion with the vendors and will actively participate in the discussion with Legal, Finance and Technology teams. You will be part of a diverse, global and dynamic team. Responsibilities Interpret project requirements analyze and develop project plans, , and lead an end-to-end execution of the project. Engage with business leads and peers, interfaces with leaders across the organization. Builds strong internal and external relationships and ensures service quality and customer satisfaction Act as an extension of our client service model ensuring seamless service delivery across Business Operations for our clients. Actively participate in the evaluation of machine learning based & other solutions and lead the proof of concept for those solutions in collaboration with the Data Operations team and vendor. Build, synthesize and present strategic insights and recommendations to the stakeholders and ensure continuous communication with project stakeholders. Partner with Data teams and SMEs to drive the adoption of data standards, definitions, structures, hierarchies, taxonomies, attributes, and models to support and optimize end-to-end business solutions. Partner with IT and Scrum Teams to develop documentation and communication of system and process requirements to ensure smooth implementations. Act as a link between Scrum teams and vendor for any technical requirement. What are we looking for Basic Qualifications 7 + years of project management experience with a proven track record of leading and/or collaborating with teams, operations, and vendors in complex global matrix structures and business models. Technical experience/background in similar projects especially related to implementation of Data science, machine learning and Gen AI/LLM based projects Passion for understanding, learning, and identifying the latest technology trends and machine learning based solutions. Ability to drive initiatives independently, with minimal supervision, yet ensuring transparency to team members, SMEs, and other stakeholders. Ability to effectively communicate and collaborate with the key stakeholders to work towards generating value for the organization. Open-minded professional enjoying and used to working in a multicultural company. Preferred Qualifications Certified Project Management Professional or PRINCE2 is a plus Machine Learning, Gen AI/LLM and Cloud exposure Demonstrable track of continuous self-learning is valued. A degree in a relevant field such as Computer Science, Engineering and Data Science is preferred SAFe/Agile

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 10-15 years of overall experience, including at least 3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project lifecycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 4 years experience in GenAI and LLM with overall 10-15 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Job Title: Tech Lead, Prompt Engineering Report To: Prompt Engineering Manager Location: Bangalore/Hyderabad/chennai/coimbatore Position: Full-time Department: Annalect Engineering Position Overview Prompt Engineer is an emerging role at Annalect, which plays a key role in developing our advanced generative AI capabilities. Prompt engineers work closely with business, product, and engineering stakeholders to create valuable and amazong AI capabilities with LLMs and other AI capabilities. Key Responsibilities: Develop and evaluate prompts for AI agents, chatbots, and other capabilities. Develop monitoring techniques to check the accuracy and performance of models during development and production. Test and analyze outputs from AI by experimenting with different prompts/techniques. Work with application and QA teams to implement monitoring and CI/CD Combine correct techniques for querying data in alignment with the capabilities for prompts Required Skills At least 5+ years of previous software engineering experience. Working experience of common software development techniques, including git, github/bitbucket pull request workflows, and intermediate python (ruby, C#, or other server language) Proven ability to write clear and specific instructions for LLM and diffusion models Experience with interactive problem-solving techniques. Familiarity with iterative design methodologies. Strong problem-solving and analytical skills. Solid knowledge of data structures, data formats, and data modeling Understanding (and preferrable practical experience) with common software architecture patterns, ability to reason about different components of the software stack Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real-world challenges Excellent communication and collaboration skills Additional Skills BS, MS, in Computer Science, Computational Linguistics, or a related field, or equivalent real-world experience Knowledge of Vector databases such as Pinecone or Milvus with experience in at least one type of databases (MSQL/ PSQL) Experience with LangChain and Weights & Biases is a plus Familiarity with big data technologies such as Hadoop, Spark, and Hive Proven ability to independently execute projects from concept to implementation and to maintain a live product Perks of Working at Annalect Culture. We have an incredibly fun, collaborative and friendly environment, and often host social and learning activities such as game night, speaker series, and so much more! Generous vacation policy. Paid time off (PTO) includes vacation days, personal days, and a Summer Friday program. Extended time off around the holiday season. Our office is closed between Xmas and New Year to encourage our hardworking employees time to rest, recharge and celebrate the season with family and friends. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a startup - we move fast, break things, and innovate. We are an equal opportunity employer. Annalect, a division of Omnicom Media Group, reaffirms its commitment to the policy of Equal Employment Opportunity and to carrying out this policy at all of its offices. It shall be the policy of Omnicom Media Group to (1) recruit, select, hire, train, promote, pay, discipline and terminate employees in all job classifications without regard to age, race, color, creed, national origin, citizenship status, alienage, religion, sex, sexual orientation, marital status, veteran status, disability or any other basis upon which discrimination against or harassment of employees or applicants for employment is prohibited under any applicable federal, state or local equal opportunity employment laws and (2) ensure that all personnel actions are administered without discrimination in violation of applicable law. annalect.com

Goldman Sachs is seeking a strong developer to be an integral part of the GenAI Semantic Search team. The GenAI Semantic Search team builds highly scalable, performant and distributed semantic search engine while employing current NLP techniques and algorithms and evaluating various LLMs. The search engine is used to feed into RAG and AI-enabled applications. Required Qualifications: Backend java developer with experience writing multi-threaded, concurrent, scalable, and distributed applications. Must be update on current and opensource stack- Kafka, ElasticSearch, gRPC, MongoDb, Hazelcast, Vertx, Experience with writing microservices and distributed applications Knowledge of Python especially in the NLP and data manipulation area Knowledge of how search engines work and LUCENE Knowledge of vector database is a plus What you will do: Develop and Maintain Highly Scalable Systems: Build and maintain highly scalable, performant and distributed semantic search engine with a structured approach of documentation in a fast moving environment. Employ Cutting-Edge NLP Techniques: Apply state-of-the-art NLP techniques in real-world search and conversational use cases, evaluating various LLMs to enhance the system's capabilities. Collaborate Across Regions: Work effectively in a cross-regional environment, collaborating with team members from different locations to achieve project goals.