5480 Deep Learning Jobs - Page 21

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity's Supplier Development Teams find and develop suppliers to support the strategic sourcing organization in driving incremental performance in supplier quality, delivery, price and service. They teach new suppliers on how to work with TE (portal access, e-procurement tool usage, TE procedures, etc.). They extend TE Operational Advantage into the supply base to generate continuous improvement in the extended value stream, deliver incremental improvements through supplier development lead projects and achieve improvement targets specific for supplier development. They also help drive selection and development of the best total cost supply option in the region where the commodity or service is consumed. They keep abreast of emerging market options and inform the broader procurement organization of trends and new supply options. Responsibility: Electrical circuit & PCB design and optoelectronic component selection. Prototype development and evaluation Definition and/or Development of test systems for opto-electronic products Definition and coordination of test programs for purposes of design verification and product qualification Serve as liaison between Business Development, Marketing, Sales, Procurement, Manufacturing, contract design teams, customers, suppliers, and various other Engineering functions Generation of product drawings, application specifications, and instruction sheets Implementation of design changes to enhance product quality, improve manufacturability, and/or reduce manufacturing cost Review functional/performance specifications provided by customers and ensure that product requirements have been properly defined and documented prior to production. Perform/coordinate failure analysis work and determine corrective actions Initiation of Engineering Changes to improve designs, improve manufacturing, or respond to changes requested by the customer Achieve scope, schedule, and budget requirements Report out on project status as needed Meet all established project deadlines Regularly keep management informed of problems, issues, and status of on-going projects. Work with local and global counterpart / stake holder for ensuring quality deliverable and project execution. Work closely with third party vendor / supplier to define the technical requirements for the product and project execution. Mentor the new team members on design and development of opto-electronics products Desired Candidate Profile: Education/ Knowledge: BE/BTech with specialization in Electronics & Communications Engineering Min 3 years of experience in Electronics board design and development for aerospace/ automotive/industrial applications Critical experience: Electronics hardware design for industrial, defense, automotive and aerospace applications Experience with optical transceivers with associated electronics hardware design Capable of High-Speed RF and/or Mixed Signal hardware Circuit Schematic and PCB layout Design and analysis Experience with Ethernet, Fiber Channel, Infiniband, and Rapid I/O standards Familiar with the SMPTE and DVI/HDMI video standards and protocols like I2C and SPI Experience with BERT testing and eye diagram analysis of opto-electronic devices and transceivers is a plus. Experience in embedded control hardware design for power electronics applications such power distribution units (PDU), motor drivers, smart power switching will be added advantage Experience with standard test equipment such as oscilloscopes, power meters, logic analyzers, signal/spectrum analyzers, etc. Experience with EMI/EMC requirements, qualification processes and electronics documentation Familiar with RF Microwave design and use of ADS, Sonnet and HFSS software will be an added advantage Familiar with software development and tools will be an added advantage Competencies EOE, Including Disability/Vets

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity's Supplier Development Teams find and develop suppliers to support the strategic sourcing organization in driving incremental performance in supplier quality, delivery, price and service. They teach new suppliers on how to work with TE (portal access, e-procurement tool usage, TE procedures, etc.). They extend TE Operational Advantage into the supply base to generate continuous improvement in the extended value stream, deliver incremental improvements through supplier development lead projects and achieve improvement targets specific for supplier development. They also help drive selection and development of the best total cost supply option in the region where the commodity or service is consumed. They keep abreast of emerging market options and inform the broader procurement organization of trends and new supply options. Responsibility: Electrical circuit & PCB design and optoelectronic component selection. Prototype development and evaluation Definition and/or Development of test systems for opto-electronic products Definition and coordination of test programs for purposes of design verification and product qualification Serve as liaison between Business Development, Marketing, Sales, Procurement, Manufacturing, contract design teams, customers, suppliers, and various other Engineering functions Generation of product drawings, application specifications, and instruction sheets Implementation of design changes to enhance product quality, improve manufacturability, and/or reduce manufacturing cost Review functional/performance specifications provided by customers and ensure that product requirements have been properly defined and documented prior to production. Perform/coordinate failure analysis work and determine corrective actions Initiation of Engineering Changes to improve designs, improve manufacturing, or respond to changes requested by the customer Achieve scope, schedule, and budget requirements Report out on project status as needed Meet all established project deadlines Regularly keep management informed of problems, issues, and status of on-going projects. Work with local and global counterpart / stake holder for ensuring quality deliverable and project execution. Work closely with third party vendor / supplier to define the technical requirements for the product and project execution. Mentor the new team members on design and development of opto-electronics products Desired Candidate Profile Education/ Knowledge: BE/BTech with specialization in Electronics & Communications Engineering Min 3 years of experience in Electronics board design and development for aerospace/ automotive/industrial applications Critical experience: Electronics hardware design for industrial, defense, automotive and aerospace applications Experience with optical transceivers with associated electronics hardware design Capable of High-Speed RF and/or Mixed Signal hardware Circuit Schematic and PCB layout Design and analysis Experience with Ethernet, Fiber Channel, Infiniband, and Rapid I/O standards Familiar with the SMPTE and DVI/HDMI video standards and protocols like I2C and SPI Experience with BERT testing and eye diagram analysis of opto-electronic devices and transceivers is a plus. Experience in embedded control hardware design for power electronics applications such power distribution units (PDU), motor drivers, smart power switching will be added advantage Experience with standard test equipment such as oscilloscopes, power meters, logic analyzers, signal/spectrum analyzers, etc. Experience with EMI/EMC requirements, qualification processes and electronics documentation Familiar with RF Microwave design and use of ADS, Sonnet and HFSS software will be an added advantage Familiar with software development and tools will be an added advantage Competencies EOE, Including Disability/Vets Location

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Lead with autonomy: Take ownership of AI/ML projects from ideation to deployment, pushing boundaries of innovation. Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity. Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT. Innovate with LLM s: Build & optimize LLM s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks. Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB) and LLM APIs (OpenAI, Anthropic, Hugging Face, Mistral, Llama). Collaborate for impact: Partner with cross-functional teams to integrate AI solutions into real-world applications like chatbots, copilots, automation tools, etc.). Stay ahead: Perform continuous research on state-of-the-art AI methodologies, exploring advancements in Generative AI, Autonomous Agents, and NLP to drive innovation.

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore About The Role : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What Were Looking For : REQUIRED S/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps toolsKubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Whats in it for you: We are seeking a highly motivated and talented Entry Level AI Engineer to join our growing team. In this role, you will have the exciting opportunity to work at the forefront of both traditional machine learning and cutting-edge generative AI. You will contribute to the development and implementation of AI solutions that address real-world challenges in the financial services industry. This role requires a strong foundation in AI/ML principles, software engineering skills, and a collaborative mindset. This is an excellent opportunity to be part of a team based out of Gurgaon and to work with colleagues across multiple regions globally. Responsibilities: Develop and implement machine learning models: Design, build, and train traditional machine learning models (e.g., regression, classification, clustering) for tasks such as risk assessment, fraud detection, trade prediction, and operational efficiency. Explore and apply generative AI techniques: Research, experiment with, and implement generative AI models (e.g., transformers, large language models) for applications like data augmentation, synthetic data generation, anomaly detection, and natural language processing in financial contexts. Collaborate on AI solutions: Work closely with experienced AI engineers, data scientists, and software developers to integrate AI models into Osttra's existing systems and build new AI-powered applications. Contribute to software development: Participate in the full software development lifecycle, including design, coding, testing, and deployment, adhering to best practices and industry standards. Analyze and interpret data: Analyze large datasets, identify patterns and trends, and derive insights to inform model development and business decisions. Stay current with AI advancements: Continuously learn and keep abreast of the latest research and trends in both traditional machine learning and generative AI. Communicate effectively: Clearly communicate technical concepts and findings to both technical and non-technical audiences. What Were Looking For: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills: Strong understanding of fundamental AI/ML concepts (e.g., supervised/unsupervised learning, deep learning, natural language processing). Experience with Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with generative AI models and frameworks (e.g., transformers, GPT). Proficiency in software engineering principles and practices. Knowledge of data structures, algorithms, and databases. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and as part of a team.

Year of experience :- 5years to 11years Location :- Pune, Hyderabad Work Mode- Hybrid Job Description Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM.

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking an accomplished Senior Technical Specialist Data Science to lead cutting-edge AI/ML initiatives, design scalable data-driven solutions, and drive innovation across the enterprise. This role requires deep expertise in AI/ML, cloud technologies (Azure), data engineering, and MLOps , with proven experience in leading teams and delivering AI-powered solutions to solve complex business challenges. Key Responsibilities Leadership & Mentorship : Lead, mentor, and inspire a team of Data Scientists to deliver enterprise-grade AI/ML solutions. Solution Architecture : Design and implement end-to-end AI/ML architectures for complex business problems. Generative AI & NLP : Develop Generative AI applications, including RAG-based chatbots, leveraging LLMs, LangChain, LlamaIndex, and Azure OpenAI. MLOps & Deployment : Build, deploy, and monitor scalable ML pipelines using MLFlow, Kubeflow, ClearML, and Azure MLOps frameworks. Advanced Modeling : Deliver predictive modeling, deep learning, and NLP solutions using TensorFlow, PyTorch, BERT, and advanced ML algorithms. Data Visualization & Insights : Perform data analysis and develop interactive dashboards using Tableau, Power BI, Streamlit, and Matplotlib. Cloud & DevOps Integration : Collaborate with DevOps teams to automate ML workflows, optimize infrastructure with Docker/Jenkins, and ensure model scalability and reliability. Strategic Collaboration : Partner with business leaders to define AI strategy, drive data-driven decision-making, and deliver measurable business impact. Innovation & Research : Stay at the forefront of AI/ML advancements, applying emerging techniques to improve accuracy, efficiency, and scalability. Required Skills & Expertise Programming & Scripting : Python, PowerShell, Bash, Perl Machine Learning & Deep Learning : SVM, KNN, XGBoost, LSTM, TensorFlow, PyTorch NLP & Generative AI : Spacy, BERT, LangChain, LlamaIndex, LLOps frameworks Data Visualization : Tableau, Power BI, Streamlit, Matplotlib Cloud & MLOps : Azure ML Studio, Azure OpenAI, Docker, Jenkins, GitHub, MLFlow, ClearML, Kubeflow Databases & Big Data : MS-SQL, Data Preprocessing, Feature Engineering Qualifications Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field. 10+ years of experience in data science/AI, with at least 3+ years in a leadership role . Proven track record of delivering AI/ML solutions at scale in enterprise environments.

Position : Data Science Trainer Salary : As per company standards Experience : 1yr- 5yrs WORK FROM OFFICE MANDATORY (Full time, permanent) Notice Period : immediate Location : Pune Job Description : Candidates must have the ability to take both theory and practical sessions. Should have excellent knowledge on Python Data Science technologies. Should be able to teach Machine learning, deep learning, artificial Intelligence, SQL, Django .Able to resolve students' queries. We expect good communication and presentation skills. Able to explain complex subjects in a clear and interesting way. Dynamic personality. Should be flexible to conduct Weekend Batches as well as Weekday Batches. Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda. Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Execute training sessions Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements. (Note: No part time , No work from home) Interested candidates can drop their CV on vpachori@sevenmentor.com OR contact on 88061 78325

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. What will you do Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon s underlying Neural Edge Engine to invent optimization techniques Analyze deep learning workloads and provide guidance to map them to Amazon s Neural Edge Engine Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics Train custom Gen AI models that beat SOTA and paves path for developing production models Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices Publish in open source and present on Amazons behalf at key ML conferences NeurIPS, ICLR, MLSys. 2+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Strong foundation in relevant mathematical concepts (linear algebra, calculus, etc.) Experience in professional software development Prior experience in productionizing ML models and managing their full lifecycle from development to deployment

We are seeking a highly skilled Computer Vision & Deep Learning Engineer to design, develop, and optimize advanced AI/ML solutions in image classification, object detection, and segmentation. The role will involve building robust models using state-of-the-art deep learning frameworks, deploying them on edge and embedded devices, and exploring the integration of Generative AI and cloud-based AI/ML workflows. Responsibilities : Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and transfer learning. Build and implement image preprocessing pipelines and advanced computer vision workflows. Optimize models through pruning, quantization, and ONNX conversion for edge deployment. Work with PyTorch, TensorFlow, and ONNX frameworks for training, conversion, and inference. Accelerate inference using GPU programming with CUDA and cuDNN. Deploy, port, and validate models on embedded and edge hardware (Jetson, Orin, Hailo, mobile). Conduct applied research and experiments to evaluate and integrate Generative AI in computer vision tasks. Explore and implement cloud-based AI workflows using AWS or Azure AI/ML services. Collaborate with cross-functional teams on data pipelines, analytics, and large-scale training. Ensure systematic documentation and secure record-keeping aligned with ISO 9001 (Quality Management), ISO 27001 (Information Security), and related industry standards. Required Skills & Experience : Strong programming experience in Python. Solid foundation in deep learning, CNNs, transfer learning, and ML basics. Expertise in object detection, classification, and segmentation. Proficiency with PyTorch, TensorFlow, and ONNX. Experience with GPU acceleration (CUDA, cuDNN). Hands-on knowledge of model optimization (pruning, quantization). Proven track record of deploying models to edge devices (Jetson, Orin, Hailo, mobile). Good understanding of image processing techniques and data pipelines. Willingness to explore and contribute to Generative AI and cloud AI/ML solutions. Strong problem-solving and communication skills. Preferred Skills : Experience with C/C++ for performance-critical applications. Familiarity with AWS AI/ML services (SageMaker, Rekognition) or Azure equivalents. Exposure to Generative AI frameworks (OpenAI, Stable Diffusion, etc.). Knowledge of real-time deployment systems and streaming analytics. Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

Generative AI Engineer About This Role Were seeking a passionate Generative AI Engineer & problem solver to join our world-class team of innovators who are pushing the boundaries of whats possible with artificial intelligence. Youll be at the forefront of cutting-edge AI research and development, working on awesome projects. What Youll Do Core Responsibilities: Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions. Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems. Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives. Optimize model latency and performance for real-time applications and large-scale deployment Architect scalable ML infrastructure for training, inference, and model serving Fine-tune Large Language Models (LLMs) and other transformer-based architectures Ability to explain complex AI concepts to technical and non-technical stakeholders What Were Looking For Experience Requirements: 6+ years of overall data science or ML experience. 1.5+ years of hands-on experience with generative AI and large language models. Advanced degree in Computer Science, Machine Learning, or related field. Experience in taking ML/DL model to production. Technical Expertise: Python, C++ or any other high-level language. PyTorch and TensorFlow. Experience with Hugging Face Transformers, LangChain, LlamaIndex, Pydantic AI Deep Learning fundamentals: neural networks, backpropagation, optimization Generative AI frameworks: OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment Model architectures: Transformers, attention mechanisms, encoder-decoder models Fine-tuning techniques: LoRA, QLoRA, full parameter fine-tuning, RLHF Design and implement comprehensive evaluation pipelines A/B testing for AI systems and statistical significance testing Latency optimization techniques: model quantization, pruning, distillation Experience with MLOps tools: MLflow, Weights & Biases, DVC What We Offer Cutting-Edge Technology: Access to premium GPU clusters A100s for training and experimentation Latest hardware and software tools to support your research and development Freedom to explore breakthrough AI technologies and methodologies Work on groundbreaking problems that havent been solved before Collaborate with world-class researchers and engineers from top universities and tech companies Contribute to open-source projects and publish your research Keywords Python, Gen AI, LLM, Deep Learning, MLOps, LoRA, QLoRA, PyTorch Ai, Deep Learning, Gen Ai, Llm, Mlops, Python

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic eraYou re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Digital Success Engineering team aims to enhance customer enablement through a unified digital platform. As demand for Agentforce and AI solutions grows, we are seeking a skilled Salesforce Software Engineer (SMTS) to join our core development team. This key role focuses on integrating digital properties and advanced AI technologies, enhancing our platform with expert-led learning and certification. You will also improve search capabilities using Data Cloud. Candidates need expertise in Salesforce development and knowledge of Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). Your work will accelerate the implementation of our unified platform and streamline our development processes. In this role, you will collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer needs, design prototypes, and implement innovative technologies. Key Responsibilities Platform and Integration Engineering: Design, develop, and maintain a unified platform that seamlessly integrates digital properties and various customer enablement methods. Build robust integrations using MuleSoft to connect Salesforce with a range of internal and external systems. Utilize Data Cloud to create advanced analytics and data-driven features, enhancing platform insights and search capabilities. Architect and implement scalable, secure, and highly available services on the Salesforce platform. Design, implement, and optimize robust APIs and related features that perform efficiently and scale effectively in a multi-tenant environment. Develop generic, customer-facing objects that promote ease of use and customization. Collaborate with product managers, engineers, and designers to identify and implement AI-driven solutions. Stay updated on LLM research and emerging technologies to recommend and incorporate advancements into Salesforces AI strategy. Participate in the teams on-call rotation to address complex problems in real time and ensure services remain operational and highly available. AI and Agentforce Development: Implementation of AI-powered features and autonomous agents using Salesforce Agentforce . Design and apply advanced Generative AI and LLM techniques, including prompt engineering and Retrieval-Augmented Generation (RAG), to create intelligent, automated workflows. Utilize NLP frameworks to develop sophisticated search and conversational AI experiences for our users. Collaborate with data scientists and other engineers to transition AI prototypes into production-ready solutions. Technical Leadership and Execution: Provide technical expertise and mentorship to the development team, fostering a culture of high-quality engineering. Translate business needs from Digital Success workstreams into technical requirements and actionable development plans. Ensure the implementation of a consistent and scalable architecture across the unified platform. Participate in the teams on-call rotation to address complex issues and maintain system reliability. Ability to translate business needs into AI solutions and communicate complex technical ideas to non-technical stakeholders. Proven experience working in cross-functional teams to deliver impactful results. Experience in a fast-paced technical environment with changing priorities and executing with geographically distributed teams. Ability to develop and ship products in quick increments across multiple versions Required Skills and Experience Bachelors degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 6+ years of industry experience in software engineering, with a focus on enterprise-level platform and integration development. Strong hands-on experience with Salesforce core technologies , including Apex, Lightning Web Components, and declarative tools (Flows, Process Builder). Demonstrated experience with MuleSoft for building and managing integrations. Proven knowledge and practical experience with Salesforce Data Cloud and Tableau . Solid understanding of Generative AI , LLMs , and NLP frameworks , with a proven ability to apply these technologies to business problems. Familiarity with modern software development practices, including Agile methodologies, CI/CD, and version control (Git). Excellent problem-solving, communication, and leadership skills. Preferred Knowledge Experience with Salesforce Core Platform and Agentforce development. Prior experience in the learning technology or customer enablement space. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Salesforce Platform Developer I and/or II certifications. Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic eraYou re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Digital Success Engineering team aims to enhance customer enablement through a unified digital platform. As demand for Agentforce and AI solutions grows, we are seeking a skilled Salesforce Software Engineer (SMTS) to join our core development team. This key role focuses on integrating digital properties and advanced AI technologies, enhancing our platform with expert-led learning and certification. You will also improve search capabilities using Data Cloud. Candidates need expertise in Salesforce development and knowledge of Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). Your work will accelerate the implementation of our unified platform and streamline our development processes. In this role, you will collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer needs, design prototypes, and implement innovative technologies. Key Responsibilities Platform and Integration Engineering: Design, develop, and maintain a unified platform that seamlessly integrates digital properties and various customer enablement methods. Build robust integrations using MuleSoft to connect Salesforce with a range of internal and external systems. Utilize Data Cloud to create advanced analytics and data-driven features, enhancing platform insights and search capabilities. Architect and implement scalable, secure, and highly available services on the Salesforce platform. Design, implement, and optimize robust APIs and related features that perform efficiently and scale effectively in a multi-tenant environment. Develop generic, customer-facing objects that promote ease of use and customization. Collaborate with product managers, engineers, and designers to identify and implement AI-driven solutions. Stay updated on LLM research and emerging technologies to recommend and incorporate advancements into Salesforces AI strategy. Participate in the teams on-call rotation to address complex problems in real time and ensure services remain operational and highly available. AI and Agentforce Development: Implementation of AI-powered features and autonomous agents using Salesforce Agentforce . Design and apply advanced Generative AI and LLM techniques, including prompt engineering and Retrieval-Augmented Generation (RAG), to create intelligent, automated workflows. Utilize NLP frameworks to develop sophisticated search and conversational AI experiences for our users. Collaborate with data scientists and other engineers to transition AI prototypes into production-ready solutions. Technical Leadership and Execution: Provide technical expertise and mentorship to the development team, fostering a culture of high-quality engineering. Translate business needs from Digital Success workstreams into technical requirements and actionable development plans. Ensure the implementation of a consistent and scalable architecture across the unified platform. Participate in the teams on-call rotation to address complex issues and maintain system reliability. Ability to translate business needs into AI solutions and communicate complex technical ideas to non-technical stakeholders. Proven experience working in cross-functional teams to deliver impactful results. Experience in a fast-paced technical environment with changing priorities and executing with geographically distributed teams. Ability to develop and ship products in quick increments across multiple versions Required Skills and Experience Bachelors degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 6+ years of industry experience in software engineering, with a focus on enterprise-level platform and integration development. Strong hands-on experience with Salesforce core technologies , including Apex, Lightning Web Components, and declarative tools (Flows, Process Builder). Demonstrated experience with MuleSoft for building and managing integrations. Proven knowledge and practical experience with Salesforce Data Cloud and Tableau . Solid understanding of Generative AI , LLMs , and NLP frameworks , with a proven ability to apply these technologies to business problems. Familiarity with modern software development practices, including Agile methodologies, CI/CD, and version control (Git). Excellent problem-solving, communication, and leadership skills. Preferred Knowledge Experience with Salesforce Core Platform and Agentforce development. Prior experience in the learning technology or customer enablement space. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Salesforce Platform Developer I and/or II certifications. Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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Python, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Hugging Face, LangChain, LLMs, Cloud basics, Git-hub Assist in training and fine-tuning generative AI models; AI/ML

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POCs. Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members. Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalizations, search, virtual assistant, time series forecasting and more. Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning. Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies Produce reusable code according to standard methodologies in Python, Scala or Java Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews. Strong Python programming skills [Good to have Skills]: SQL, Data Analysis , Gaming Industry knowledge Education Qualificaiton: Masters degree in CS/Statistics/Machine Learning , with a specialization in machine learning or equivalent experience. 5+ years of experience in Machine Learning domain. Experience in developing production-level large-scale ML models and data pipel Roles & Responsibilities: Collaborate dedicated team of software engineers to architect, build, deploy and support best-in-class software services that are always available to provide the best gaming experience for our customers. Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver awesome business results. Collaborate across business units and product teams to develop and execute against the team's vision, strategy, and roadmap. Use technical expertise and industry trends to influence software development standard methodologies. Handle day-to-day activities of engineering team using Agile/Scrum methodology. Type of Employment: Permanent Project Details: Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of usersThe work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering and Product. Further, you will be immersed in ground-breaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

Build Intelligent Systems for a Mental Health Tech Startup Role Overview : As an AI/ML Engineer, you will be responsible for developing AI models that power our product offerings. You will work closely with product managers, data scientists, and software engineers to build intelligent systems that enhance user experience and improve mental health outcomes. Key Responsibilities : - Model Development : Design, develop, and deploy machine learning models using Python, TensorFlow, PyTorch, or Scikit-Learn. - Data Processing : Pre-process and clean data to prepare it for model training. - Model Evaluation : Evaluate model performance using metrics such as precision, recall, F1-score, and accuracy. - Algorithm Optimization : Optimize algorithms for performance, scalability, and accuracy. - API Integration : Develop APIs to integrate machine learning models into the product's backend architecture. - Collaboration : Work closely with backend and frontend developers to ensure seamless integration of AI components. - Documentation : Create detailed technical documentation of models, data pipelines, and APIs. - Research & Innovation : Stay up-to-date with the latest advancements in AI and machine learning and recommend innovative solutions. - Continuous Improvement : Tune models based on user feedback and new data to improve performance over time. Qualifications & Requirements - Education: Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Experience: Minimum 5 years in AI/ML development, with experience in startup or fast-paced environments preferred. - Technical Skills: - Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn. - Experience with NLP, Computer Vision, or Time Series Forecasting. - Familiarity with SQL and NoSQL databases. - Experience with Docker and Kubernetes. - Knowledge of Git and CI/CD pipelines. - Understanding of RESTful APIs and microservice architecture. - Soft Skills: Strong problem-solving ability, innovative mindset, and excellent communication skills. Ability to thrive in a fast-paced, evolving startup environment. Why Join Us ? - Make an Impact: Be part of an innovative team shaping the future of AI-driven mental health solutions. - Career Growth: Opportunity to build and scale AI systems from scratch in a dynamic startup. - Innovative Work Environment: Work on cutting-edge AI technologies. - Equity Potential: Possibility of future compensation and equity-based incentives as the startup grows. Note: This is an unpaid role for the first 3 months, until funding is secured. If you are not open to working without salary during this period, we respectfully request that you do not apply. We would also appreciate it if you could briefly share what is motivating you to join us despite the unpaid initial phase. If you are passionate about applying AI to improve mental health and contributing to high-impact projects in a startup environment, we encourage you to apply! Questions to be added 1. As per our JD, how many months is the expected funding to be secured? By applying, you confirm your are applying for startup and funding is yet to be secured. Option: [Text field or number input with 0, 1, 2 & 3 (candidate will update with no. of months)] 2. Do you have 3+ yrs of experience and can work independently with minimal supervision? If yes, mention your total yrs of experience. Option: [Text field or number input, (candidate will update with no. of yrs experience)] 3. If selected, how soon can you join? (We prefer immediate joiners or those with =15 days' notice) Option: [Text field or number input] 4. This role is based in Bangalore with a work-from-office expectation after 34 months. Are you comfortable with this arrangement? Which city are you looking for job? Option: [Text field] 5. Please mention your total annual expected salary (CTC), including all components. Accurate details are necessary for us to assess your fit for the role and proceed with your application. Option: [Text field or number input]