1197 Aiml Jobs - Page 28

Lead the design and development of AI-powered agents and tools using composable AI platforms like Cognigy, Q Business, azure OpenAI. Build scalable, cloud-integrated AI solutions that drive enterprise productivity and innovation. Key Responsibilities: Design AI agents and workflows on composable AI platforms. Integrate AI solutions with cloud platforms (AWS, Azure, GCP). Collaborate with stakeholders to translate business needs into AI solutions. Lead prototyping and POCs for new AI capabilities. Ensure compliance with security and governance standards. Skills: Overall 7+ years in AI solution design, with hands-on experience Excellent communication and leadership skills, with a strong ability to translate business requirements into AI solutions. Strong understanding of Generative AI Strong Python programming skills for customization and integration. Expertise with cloud AI/ML services and APIs (AWS, Azure, GCP). Deep understanding of NLP and conversational AI design. Experience integrating AI tools with enterprise systems. Familiarity with responsible AI principles and data privacy.

We are looking for a highly skilled and visionary AI Architect to lead the design, development, and implementation of Generative AI solutions across AWS and Microsoft Azure environments. This role is pivotal in shaping our GenAI strategy through the creation of scalable, secure, and responsible AI systemsleveraging both agentic and non-agentic workflow designs. You will provide technical leadership in architecting AI-powered solutions that span across retrieval-augmented generation (RAG), vector search, foundation models, prompt engineering, and enterprise-grade AI governanceall within the AWS and Azure cloud ecosystems. Key Responsibilities : Architect and deliver generative AI solutions in AWS (Bedrock, SageMaker) and Azure (Azure OpenAI, Azure ML) environments. Lead the design of agentic workflows using frameworks such as AWS Agents for Bedrock or Azure orchestration tools. Build non-agentic AI pipelines using RAG (Retrieval-Augmented Generation) methodologies with vector databases (e.g., Amazon OpenSearch, Azure Cognitive Search). Design and implement prompt engineering and prompt management strategies for large language models (LLMs) in cloud services. Evaluate and integrate foundation models (e.g., GPT, Claude, Titan, Phi-2, Falcon, Mistral) via Amazon Bedrock or Azure OpenAI. Develop chunking and indexing strategies for unstructured data to support vector-based search and RAG workflows. Ensure strong AI governance and responsible AI practices, including security, explainability, auditability, and ethical usage in alignment with enterprise policies. Collaborate with data engineering and DevOps teams to ensure seamless data pipeline integration, model lifecycle management, and CI/CD automation. Guide the development of reference architectures, best practices, and reusable components for GenAI use cases across business units. Stay current with evolving GenAI capabilities in AWS and Azure ecosystems, providing technical thought leadership and strategic guidance. Required Qualifications: Bachelor's or Masters degree in Computer Science, Engineering, or a related field. 8+ years of experience in software/data architecture with 3+ years in AI/ML, including hands-on work with generative AI solutions. Proven experience designing and deploying AI workflows using: AWS: Amazon Bedrock, SageMaker, Lambda, DynamoDB, OpenSearch. Azure: Azure OpenAI, Azure ML, Azure Cognitive Services, Cognitive Search. Expertise in RAG pipeline architecture, prompt engineering, and vector database design. Familiarity with tools and frameworks for AI agent orchestration (e.g., LangChain, Semantic Kernel, AWS Agent Framework). Strong understanding of cloud security, identity management (IAM, RBAC), and compliance in enterprise environments. Proficiency in Python and hands-on experience with modern ML libraries and APIs used in AWS and Azure. Preferred Qualifications: Experience working with LLMOps tools in cloud environments (e.g., model monitoring, logging, performance tracking). Understanding of fine-tuning strategies, model evaluation, and safety/risk management of GenAI models. Familiarity with serverless architecture, containerization (ECS, AKS), and CI/CD practices in AWS/Azure. Ability to translate business problems into scalable AI solutions with measurable outcomes

As Analyst/ Lead /Scientist, you will play a pivotal role in optimizing our SRE team's ability to proactively identify and resolve issues within our voice, text messaging platform infrastructure. You will leverage your expertise in AI/ML and data analysis to model system behavior, flag anomalies, and analyze large-scale datasets to drive data-driven optimization and ensure effective utilization of ML capabilities. Qualifications/Skills/Abilities Minimum Requirements Formal Education Bachelor's degree in computer science, Information Technology, or a related field with specialization in data science (or equivalent experience). Experience (type duration) 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have. Skills Proficiency in data analysis tools (e.g., SQL, Python, etc.,). Strong understanding of statistical concepts and techniques. Experience with data visualization tools (e.g., Tableau, Power BI, kibana, graphana, DOMO). Familiarity with cloud-based infrastructure and applications (e.g., AWS, Azure, GCP). Ability to work effectively in a fast-paced, collaborative environment. Experience working with large datasets, log analysis, and tools like Elastic and Domo (or similar) will be a significant advantage. Strong knowledge of AI/ML algorithms and frameworks (e.g., TensorFlow, PyTorch). Experience with anomaly detection techniques and tools. Accreditation / certifications / licenses Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Key Duties Responsibilities 1 AI/ML Model Development: Develop and implement AI/ML models to analyze system behavior, identify anomalies, and predict potential issues. 2 Collaborative Problem Solving: Work closely with SRE and DevOps teams to identify data logs, analyze system behavior, and develop AI/ML models to address issues. 3 Data Analysis and Modeling: Conduct in-depth analysis of large-scale datasets (SQL, NoSQL) to extract valuable insights and build predictive models. 4 Anomaly Detection: Develop robust anomaly detection algorithms to flag unusual system behavior and prevent potential disruptions. 5 Data-Driven Optimization: Optimize system performance and resource allocation based on data-driven insights and AI/ML recommendations. 6 ML Capability Utilization: Ensure effective integration and utilization of ML capabilities across the SRE team to enhance operational efficiency and reliability. 7 Telemetry Data Analysis: Analyze large datasets of telemetry data from various sources (e.g., call logs, performance metrics, system logs) to identify patterns, trends, and anomalies. 8 Alerting Optimization: Develop and refine alerting rules based on data-driven insights to ensure timely notification of critical issues and minimize alert fatigue. 9 Proactive Issue Identification: Leverage data analysis techniques and AI/ML models to proactively identify potential system issues or outages before they occur. 10 Root Cause Analysis: Investigate and analyze incidents to identify root causes and implement preventive measures. 11 Data Visualization: Create clear and informative visualizations to communicate findings to stakeholders and facilitate decision-making. Preferred Skills Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Required Skills 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have.

Job Description: Python Gen AI Developer Seeking an experienced Python Developer with expertise in Generative AI to join our AI & ML Engineering team. The ideal candidate will work on building intelligent applications leveraging large language models (LLMs) and deep learning to enhance customer experience and streamline business processes. Key Responsibilities: Design, develop, and deploy GenAI solutions using Python and modern AI frameworks. Work with LLMs (e.g., GPT, LLaMA, Claude) and fine-tune them for enterprise use cases. Develop prompt engineering strategies and support prompt optimization. Integrate AI models with backend services and data pipelines. Implement scalable and secure APIs and services for GenAI use cases. Collaborate with data scientists, ML engineers, and product teams. Ensure compliance with enterprise security, data governance, and regulatory standards. Required Skills: 4+ years of experience with Python in enterprise application development. Strong knowledge of GenAI tools (OpenAI, Hugging Face, Lang Chain, etc.). Experience with LLMs, prompt tuning, RAG (Retrieval Augmented Generation). Experience with Flask/Fast API or similar frameworks. Familiarity with vector databases (e.g., NodeJS, FAISS, Pinecone). Understanding of NLP and transformer models. Good knowledge of Git, Docker, CI/CD. Nice to Have: Experience working in the finance or banking domain. Exposure to Kubernetes and model deployment pipelines

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

What youll do Work cross-functionally with design, product, data engineers, engineers and other key stakeholders within Payments. Hands-on Technical Leadership: Actively contribute to code, code reviews, architecture decisions, etc. Collaborate closely with engineers to design and develop scalable solutions, while also mentoring and providing technical guidance to the team. Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions. Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact. Collaborate with different teams to design and implement new services with reliability/infra/data/dev in mind. Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager. Create an inspiring and collaborative team environment with an open communication/feedback culture. Recruit new team members who align with the culture and required skills. Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact. Who you are An energetic self-starter experienced in creating alignment between multiple teams. You have experience with Core Java, Distributed systems, Web services, REST APIs and SQL/PostgreSQL. You are able to define, implement and monitor performance KPIs to quickly identify opportunities for improvement in existing systems. Experienced in coaching and mentoring engineering talent. Experienced in leading technical projects in a fast paced environment. Experienced with collaborating with senior leadership to set strategic direction including product roadmaps. An excellent communicator and team player with strong management skills and technical aptitude. Must be willing to travel, both domestically and internationally when required to meet with colleagues and/or merchant teams. Someone who can clearly communicate about technical concepts to non-engineers. Minimum Qualifications: 2+ years experience in managing engineering teams within a Java environment 7+ years of experience in software development industry in a fast paced tech environment Full professional proficiency in English

As an AI/ML Consultant, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. Leverage generative AI and large language models (LLMs) to develop innovative applications. Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. Ensure best practices in AI/ML model development, including versioning, testing, and validation. Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. Extensive experience with machine learning algorithms, model development, and deployment. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. Proficiency in programming languages such as Python, R, and Java. Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar.

Job Description: As a Full Stack Developer ( .NETCore/MVC ), your primary responsibility will be designing, developing, and maintaining software applications throughout the entire software development life cycle. You will work closely with our team of developers, designers, and project managers to deliver scalable, high-performance, and cutting-edge solutions. Responsibilities: 1. Create and maintain web-based applications using the latest .NET technologies, including ASP.NET Core, C#, MVC, and Web API. 2. Collaborate with the team to define software requirements and technical designs. 3. Write clean, efficient, and thoroughly documented code, adhering to industry best practices and coding standards. 4. Implement front-end interfaces using HTML, CSS, and JavaScript frameworks such as Angular, React, or Vue.js. 5. Design and manage relational databases (SQL Server, MySQL, or similar) and optimize queries for optimal performance. 6. Integrate third-party APIs and services to enhance application functionality. 7. Conduct comprehensive testing, debugging, and troubleshooting to ensure software quality and reliability. 8. Participate in code reviews and offer constructive feedback to enhance code quality and maintainability. 9. Keep abreast of the latest trends and advancements in software development, .NET technologies, and related frameworks. 10. Collaborate with cross-functional teams to identify and address technical issues and improve system performance. 11. Assist in deploying applications to production environments and monitor their performance. 12. Contribute to continuous improvement initiatives within the development team. Requirements: 1. Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). 2. Proven work experience of 5-12 Yrs as a Full Stack Developer, specifically with expertise in .NET technologies. 3. Strong proficiency in C#, ASP.NET Core, MVC, Web API, and related frameworks. 4. Knowledge of Cloud Servies/AIML 5. Experience in front-end development using HTML, CSS, JavaScript, and modern JavaScript libraries or frameworks (e.g., Angular, React, Vue.js). 6. Solid understanding of object-oriented programming principles and design patterns. 7. Knowledge of relational databases and SQL, with the ability to write optimized queries. 8. Familiarity with version control systems (e.g., Git) and agile development methodologies. 9. Experience working with cloud platforms (Azure, AWS, or Google Cloud) is advantageous. 10. Excellent problem-solving skills and meticulous attention to detail. 11. Effective communication skills and the ability to work collaboratively in a team environment. 12. Strong analytical and critical-thinking skills to design and develop efficient solutions. Perks and Benefits: Innovative Environment: Be part of a team thats at the forefront end of cloud technology. Career Growth: Opportunities for professional development and career advancement. Collaborative Culture: Work with a supportive team in a collaborative environment. 5 Day's working, Mon-Fri.

Role & responsibilities Collaborate and interact with other leaders in Digital Twin to define the strategy, roadmap and action plan for the team. Manage and mentor a team of experts in different domains (modeling & simulation, diagnostics, etc), fostering a culture of collaboration and continuous improvement. Connect with business' leaders to engage the team on technical activities to support product design, analysis, and validation. Collaborate with other cross-functional teams in I&T to standardize methodologies and to help enhancing engineering practice ensuring alignment with business goals. Oversee the activities of the team to ensure impact creation across our main stakeholders: R&D squads in Energy Management, etc. Stay current with advancements in digital twin technologies, integrating new tools and techniques into the organization. Establish best practices for modeling, simulation, and data management within the organization. Communicate effectively with stakeholders, providing updates on project progress and technical challenges. Forecast resource needs, makes hiring decisions and sustain our talent. Understand the need of the team, develop a budget plan and keep financial discipline. Build and sustain business relationships with our tools vendors to maximize our value proposition to business. Work with I&T Partnerships and Ecosystem team to build meaningful techno intelligence watches, benchmark competitors and foster external collaboration. Qualifications: Bachelors degree in Engineering, Computer Science, Mathematics, or a related field; Masters degree preferred. Proven experience in a technical leadership role, with a strong background in digital twin technologies. Excellent leadership and team management skills. Effective communication skills, with the ability to present complex technical information at different level of the organization.

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.

Were Hiring: Machine Learning Developer | Noida (Sector 90) Are you ready to accelerate your ML career at a fast-growing B2B SaaS startup? Join a dynamic team that's solving real-world problems with cutting-edge machine learning technologies! Role: Machine Learning Developer Experience: 3.5 to 5 Years Location: Sector 90, Noida Work Mode: 5 Days | Work From Office Notice Period: Immediate to 30 Days Key Responsibilities: Develop and deploy scalable machine learning models Design robust data and AI pipelines Optimize ML workflows for efficiency and performance Maintain and retrain production models as needed What We’re Looking For: Strong Python, PyTorch, Langchain & SQL skills Hands-on with Spark, Dask, Airflow, or Dagster Experience with cloud platforms: AWS, GCP, or Azure Familiarity with MLOps tools: MLflow, Kubeflow, Docker, Kubernetes Bachelor’s/Master’s in CS, AI, Data Science, or related field Interested in or know someone great? Send your resume to gautam@mounttalent.com.

Fresher or 3+ years of experience in AI/ML development with a focus on Generative AI and LLMs. Design, develop, and implement AI/ML models, including Generative AI and LLM-based solutions.

exp in AI/ML roles, with a proven track record of leading teams & managing successful projects. Experience in a leadership or managerial role is highly. experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), Required Candidate profile Strong background in developing and deploying machine learning models, including supervised, unsupervised, and reinforcement learning techniques.

exp in AI/ML roles, with a proven track record of leading teams & managing successful projects. Experience in a leadership or managerial role is highly. experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), Required Candidate profile Strong background in developing and deploying machine learning models, including supervised, unsupervised, and reinforcement learning techniques.

exp in AI/ML roles, with a proven track record of leading teams & managing successful projects. Experience in a leadership or managerial role is highly. experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), Required Candidate profile Strong background in developing and deploying machine learning models, including supervised, unsupervised, and reinforcement learning techniques.

About the Role: Grade Level (for internal use): 12 The Role: Foreseer AI Associate Director The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 12+ Years. 8+ years hands on experience in AI/ML, Data Science or Technology Strategy 4+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies 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)

Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

Job Description The Role Project Manager, Collection Platforms and AI The Team Collection Platforms and AI team is responsible for driving key automation projects, AI/ machine learning based solutions, collection platforms and lean initiatives across Enterprise Data Organization. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in- house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our clients need to do decisions with conviction, delivering it faster and on a scale while maintaining the highest quality standards. The Impact This role will be a part of IT Product Management and will work in a team responsible for leading the project management side of strategic initiatives related to the area of Data Science, ML, Gen AI /LLM based solutions. The role involves creating and maintaining the momentum with stakeholders, focusing on value and incremental results while continuously looking for the latest and newest technologies and machine learning solutions available for various uses cases across the Market Intelligence Division. Whats in it for you: • You will be part of a team at the center of the transformation of a Fortune 500 company. • You will be spearheading the strategic projects, witnessing the whole project life cycle, and deploying the end-to-end machine learning based data extraction solution. • You will be working closely with stakeholders of various teams to understand their business challenges and to provide cutting–edge solutions to them. • You will be getting immense exposure to commercial discussion with the vendors and will actively participate in the discussion with Legal, Finance and Technology teams. • You will be part of a diverse, global and dynamic team. Responsibilities • Interpret project requirements analyze and develop project plans, , and lead an end-to-end execution of the project. • Engage with business leads and peers, interfaces with senior leaders across the organization. Builds strong internal and external relationships and ensures service quality and customer satisfaction

Role & responsibilities Giving lectures in classes and organizing conferences regarding program studies and related topics. Developing proper coursework of subjects for the students Answering queries and questions of the students to improve their understanding and knowledge of the subject. Evaluating assessments and projects of the students. Publishing papers and reports. Assisting the college administration in making important decisions. Guiding students to broaden their overall skills and knowledge Preferred candidate profile Carries a Ph.D. in one's relevant academic field. Possess teaching Experience in a university setting. A portfolio for Published works, which is advantageous Experience in attending conferences and academic events. Experience in research, writing, and interpersonal communication. A passion for teaching and connecting with students. Patience, understanding, and a willingness to support others.

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning The role is applicable for women candidates only. D&I Disclaimer: We are committed to fostering a diverse and inclusive workplace that values and celebrates differences. We believe that diversity in all its forms enriches our organization, promotes innovation, and drives success. We are dedicated to providing equal opportunities for all individuals, regardless of discrimination of any kind, including but not limited to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, neurodiversity, or veteran status. Our commitment extends to embracing all forms of diversity. We actively encourage candidates from diverse backgrounds to apply and join us in shaping a more inclusive future together

Job Description - Pre Sales Engineer Job Title: Pre-Sales Engineer - Data & AI Solutions (Industry: Manufacturing, Supply Chain, Retail, CPG & Aviation) Department: Pre-Sales / Industry Solutions Job Summary: We are seeking a dynamic and experienced Pre-Sales Engineer with a strong foundation in Data & AI Solutions and a domain focus on Manufacturing, Supply Chain, Retail, CPG and Aviation . You will be responsible for solution positioning, customer engagement and proposal ownership to drive business growth. The ideal candidate will blend industry knowledge, technical expertise and strategic thinking to craft value-driven solutions aligned with client needs. Key Responsibilities: Pre-Sales & Solution Consulting Lead end-to-end pre-sales lifecycle from requirement discovery, proposal development, solutioning and client presentations. Collaborate with cross-functional teams (Sales, Delivery, Solution, Data Science) to craft tailored solutions leveraging AI/ML, Data Engineering, BI, Cloud and Industry 4.0 technologies. Translate client pain points into value propositions, solution blueprints and technical architectures . Industry-Focused Solutioning Create industry-specific use cases and demos aligned with domain challenges in: Manufacturing (OEE, Predictive Maintenance, Quality Analytics, Digital Twin) Supply Chain (Demand Forecasting, Inventory Optimization, Logistics Analytics) Retail & CPG (Assortment Optimization, Customer Insights, Pricing and Promo Effectiveness) Aviation (MRO Optimization, Delay Prediction, Parts Lifecycle Analytics) Client Engagement & Enablement Conduct client workshops, discovery sessions, PoCs , and technical deep dives to shape solution understanding and buy-in. Act as a trusted advisor to clients and internal stakeholders on data and AI maturity journeys . Proposals, RFPs, and Documentation Own and contribute to proposals, SoWs, RFP/RFI responses and collateral creation (solution decks, value maps, case studies). Ensure all deliverables meet quality, timeline, and alignment expectations. Market and Technology Insights Stay ahead of emerging trends in AI, GenAI, IoT, Digital Twin, LLMs, and cloud platforms (Azure, AWS, GCP). Continuously gather competitive intelligence and benchmarking insights to strengthen solution offerings. Qualifications: Bachelors or Masters degree in Engineering, Business, Data Science or a related field. 3 to 5 years of experience in pre-sales, solutioning or consulting roles with focus on Data & AI solutions . Deep understanding of data architectures , AI/ML workflows and business intelligence platforms . Exposure to industry processes, KPIs and digital transformation use cases in Manufacturing, Retail/CPG, and Supply Chain. Proficient in tools such as Power BI/Tableau, Azure/AWS, Python/SQL , and knowledge of ML lifecycle tools (MLflow, Databricks, SageMaker). Preferred Skills: Experience working with SAP, Oracle, Snowflake , and integrating with enterprise systems. Understanding of IoT protocols (MQTT, OPC UA) and smart manufacturing practices . Strong communication and storytelling skills – ability to influence CXOs and business/technical teams . Agile, collaborative, and customer-first mindset. Why Join Us? Be at the forefront of industry innovation in Data & AI . Work across diverse industries and global clients . Opportunity to lead flagship initiatives and cutting-edge solution launches . Empowerment to contribute to IP creation, accelerators, and playbooks . If interested send your updated resume at chaity.mukherjee@celebaltech.com

Job Title- Annotation Analyst (1- Year Apprenticeship Program) Location: Gandhinagar, Ahmedabad Department: Data Operations Contract Type: Apprenticeship (1 Year, Full-Time) Stipend: 2,50,00 Per Annum Start Date: 29th July 2025 Job Description: We are looking for motivated and detail-oriented Annotation Analysts who are fresh graduates eager to start their careers in the AI and data annotation field. As an Annotation Analyst, you will play a crucial role in training machine learning models by accurately labeling and annotating data such as images, text, audio, or video. Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Strong attention to detail and visual-sapital understanding Able to commit to a 1-year contract , with availability for a full-time onsite role Basic understanding of image editing or annotation tools Comfortable working in a non voice, back office environment Good problem solving skills and a proactive approach to quality control Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Familiarity with Floor Plan, interior layouts Knowledge of 3D modelling or related software tools Requirements: Education Qualification: Any Graduate, Post Graduate graduating in 2025 are eligible to apply Any graduate with certification done in AutoCAD or VFX or Graphic Designing or Photoshop Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Individuals who are quick learners and open to feedback Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Working model: 24/7 (Work from Office) Work schedule: Must be open to work in night shifts and rotational weekends Perks and Benefits Stipend- 2.50 LPA - 3.0 LPA Medicare Benefits Both side cab facilities. Medical Insurance Life Insurance

Solutions Architect : Pre-Sales (Application Modernization & Digital Platforms) Role Summary We are looking for a seasoned Solutions Architect to lead pre-sales solutioning and technical design for application modernization initiatives. This role focuses heavily on application architecture including legacy system transformation, re-platforming, and modular enterprise app design — with working knowledge of cloud-native tools and DevOps principles. The ideal candidate is proficient in Java, Python, Node.js, and .NET, and well-versed in enterprise architecture best practices and design patterns that scale across organizations. Key Responsibilities Architect application modernization solutions during pre-sales engagements, aligning with client business needs and IT strategy. Analyze legacy application portfolios and propose modernization strategies such as rehosting, refactoring, rearchitecting, or rebuilding. Design scalable, resilient, and maintainable solutions using modern architecture patterns (microservices, event-driven, layered architecture). Leverage enterprise design patterns such as: Strangler Fig (incremental modernization) Domain-Driven Design (DDD) CQRS and Event Sourcing API Gateway and BFF (Backend-for-Frontend) Repository, Unit of Work, and Adapter patterns Produce solution architecture documents, estimates, and presentation material for RFPs/RFIs, proposals, and customer pitches. Guide PoC implementations, demo environments, and value accelerators. Ensure solution designs incorporate non-functional requirements: scalability, security, observability, availability, and performance. Technology Stack Languages/Frameworks: Java (Spring Boot, Hibernate, JPA) Python (FastAPI, Django, Celery) Node.js (Express, NestJS) .NET Core (.NET 6/7, ASP.NET Web API) Databases: PostgreSQL, MS SQL, MongoDB, Redis Integration: REST, gRPC, Kafka, RabbitMQ Architecture: Microservices, SOA, Modular Monoliths, Reactive Systems Cloud & DevOps (Secondary Focus) Exposure to AWS, Azure, or GCP cloud services (compute, storage, messaging, API management). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with Infrastructure as Code (Terraform, Helm) and observability tools (Prometheus, Grafana, ELK). Best Practices & Architecture Governance Apply industry best practices such as: Twelve-Factor App principles SOLID design principles Secure coding practices (OWASP Top 10) Design-for-failure and graceful degradation Champion documentation standards, reusable reference architectures, and lightweight architecture decision records (ADRs). Participate in architecture review boards and provide guidance to ensure consistency across engagements. Pre-Sales Experience Proven experience creating solution blueprints, technical writeups, and estimates as part of bid responses and proposals. Conduct client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–16 years of experience in software architecture, including recent hands-on involvement in solutioning. Bachelor’s or Master’s degree in Computer Science or Engineering. Certifications preferred: TOGAF, CITA. Exposure to verticals like BFSI, Healthcare, Manufacturing, or Telecom is a plus.

Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications 7–10years total software/ML engineering experience, including 3+years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLMpowered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloudnative deployment (AWS/GCP/Azure). Handson experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multiagent frameworks (CrewAI, AutoGen, LangGraph). Certifications such as AWS CertifiedMachineLearning Specialty / AzureAIEngineer / GoogleProfessionalMachineLearningEngineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical tradeoffs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior engineers, shares knowledge in brownbag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.

Role & responsibilities Preferred candidate profile Image, Video and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. Should have two years of experience in labeling or annotating various elements within images/videos or visual data Should have annotated temporal information within videos, such as tracking the movement or trajectory of objects, identifying key frames, or annotating specific actions or events occurring over time. Should have annotated images by marking and labeling specific objects, regions, or features within the images. This may involve drawing bounding boxes around objects, highlighting points of interest, or segmenting objects using polygons or masks Ensure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistency Follow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements. Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. Experience working on complex annotation tasks including 3D lidar labeling. Excellent written and verbal communication skills to convey technical challenges and updates. Report any data quality issues or tool-related challenges to the project leads in a timely manner. Client-Oracle Location- Bangalore.