1228 Aiml Jobs - Page 33

Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamicteam. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems.You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions.Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure andproductionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from officeAfternoon shift NO ONLINE INTERVIEW : Role: Data ScientistIndustry Type: IT Services & ConsultingDepartment: Data Science & AnalyticsEmployment Type: Full Time, PermanentRole Category: Data Science & Machine LearningEducationUG: Any GraduateKe

Role: Java with AI Skill set: The skill set that we needed is Java +AI . Developer should possess AI hands on experience. It can be either ML models or NLP frameworks like TensorFlow, PyTorch, etc. and not anything specific Work location : PAN India Experience : 5 + to 10 yrs max We will have a total of three rounds: Round 1 : Teams video call Round 2 : Face-to-face interview at the Cognizant office Round 3 : Customer round (video) Contact: Mani - Team Lead HR Recruiter Email: mani.t@infowaygroup.com Cell: +91-9513618504 WhatsApp: +91-9513618504 Info Way Solutions LLC Email is the best way to reach me”

Role & responsibilities Job Summary: We are looking for an experienced AI Consultant (Part-time / Consultant) with a background in IT services or eCommerce and a strong focus on AI over the last 5 years. The ideal candidate will have deep technical knowledge combined with the ability to advise, design, and guide the implementation of AI solutions for business transformation. This is a strategic, high-impact role suitable for professionals looking for flexible engagement. Key Responsibilities: AI Strategy & Advisory: Partner with business and technical teams to identify AI opportunities across domains. Define AI adoption roadmaps tailored to the clients business objectives. Conduct PoCs, solution evaluations, and ROI analysis. Solutioning & Delivery Support: Provide architectural and design guidance for AI/ML solutions. Advise on the selection and customization of AI models and platforms. Offer hands-on support or oversight in key phases such as data preparation, model building, and deployment. Stakeholder Engagement: Act as a trusted advisor for senior stakeholders, translating business needs into AI-driven solutions. Lead or participate in workshops and knowledge sessions for client teams. Recommend tools, platforms, and best practices based on industry standards. Required Skills & Experience: 12 - 22 years of total experience in IT services or eCommerce domains. At least 5 years of recent, dedicated experience in AI/ML roles. Strong understanding of ML algorithms, NLP, computer vision, and generative AI (e.g., LLMs). Hands-on expertise in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with AI/ML deployment on cloud platforms like AWS, Azure, or GCP. Strong consulting, presentation, and communication skills. Preferred Qualifications: Prior consulting or part-time project-based engagement experience. Knowledge of AI applications in eCommerce such as personalization, fraud detection, and customer analytics. Familiarity with MLOps and production-grade AI pipeline deployment. Advanced degree or AI/ML certification (e.g., AWS/GCP/Azure ML certifications). Engagement Details: Flexible part-time hours or milestone-based consultant engagement. Remote or hybrid working based on project/client needs. Engagement model and duration to be discussed based on mutual alignment

Job Description Technical Trainer Location: Hyderabad / Bangalore Mode: In-Person (Offline Training at Colleges) Company: TechnoGen India Pvt Ltd About the Program: TechnoGen India Pvt Ltd is conducting skill-based technical training programs for final year B.Tech and Degree students across ~ 40–45 partner colleges . This initiative bridges the gap between academic learning and industry needs by enabling students to learn hands-on technologies and best practices. Bonus : Travel Allowances will be provided to the trainers for visiting college campuses. Role: We are hiring Technical Trainers who can deliver in-depth training on modern technologies and tools and prepare students for real-time job scenarios. Skills Required (Train on any of the below): Power BI Tableau MS Office Agile / SDLC DevOps Basics Cloud Platforms (AWS / Azure / GCP – Basics) AI & ML – Concepts and Applications Blockchain – Basics Collaboration Tools (Teams, Slack, etc.) Responsibilities: Deliver technical sessions in an easy-to-understand format. Use hands-on demonstrations and examples. Create assignments and mini-projects. Monitor student progress and provide mentorship. Travel to assigned colleges for training delivery. Requirements: Proven training or implementation experience in one or more listed technologies. Strong communication and classroom management skills. Ability to explain technical topics to non-technical audiences. Prior experience with training engineering or degree students is a plus. To Apply, Share: Total & Relevant Years of Experience Current CTC (Including Variable) Expected CTC Notice Period Reason for Change Current Location Willingness to Relocate (Yes/No) 2 Time Slots for Team Call 5-min Portfolio Video explaining any technical topic

Job Summary: We are seeking an experienced AI Developer to design, develop, and deploy intelligent soluons using Microsos AI ecosystem. The ideal candidate will leverage low code/no code pla¢orms alongside tradi¢onal development approaches to create scalable AI applica¢ons that enhance business processes and user experiences. Key Requirements & Technical Skills Low Code/No Code Pla¢orms ¢ ¢ ¢ ¢ ¢ Prociency in Microso¢ Power Pla¢orm (Power Apps, Power Automate, Power BI) Experience with Azure Logic Apps for workow automa¢on Familiarity with other low code pla¢orms like Mendix, Outsystems, or Appian Ability to rapidly prototype and deploy solu¢ons with minimal coding Understanding of ci¢zen developer enablement and governance Azure OpenAI Services ¢ ¢ ¢ ¢ ¢ ¢ Handson experience with Azure OpenAI API integra¢on Knowledge of GPT models (GPT3.5, GPT4) and their capabili¢es Experience with prompt engineering and op¢miza¢on Understanding of token management, rate limi¢ng, and cost op¢miza¢on Familiarity with netuning and model customiza¢on techniques Knowledge of responsible AI prac¢ces and content ltering Microso¢ Copilot Ecosystem ¢ ¢ ¢ ¢ ¢ Experience with Microso¢ 365 Copilot integra¢on and customiza¢on Understanding of Copilot Studio for building custom copilots Knowledge of extending Copilot func¢onality through plugins and connectors Familiarity with Copilot for dierent applica¢ons (Teams, Word, Excel, PowerPoint) Experience with conversa¢on design and user experience op¢miza¢on Azure AI Services ¢ ¢ ¢ ¢ ¢ ¢ Prociency with Azure Cogni¢ve Services (Computer Vision, Speech, Language) Experience with Azure Machine Learning Studio Knowledge of Azure Bot Services and conversa¢onal AI Understanding of Azure AI Search (formerly Cogni¢ve Search) Familiarity with Azure Form Recognizer and Document Intelligence Experience with MLOps prac¢ces on Azure pla¢orm ### Addi¢onal Technical Requirements Programming & Development ¢ ¢ Strong programming skills in Python, C#, or JavaScript Experience with REST APIs and SDK integra¢on ¢ ¢ ¢ Knowledge of cloud na¢ve development pa¢erns Understanding of containeriza¢on (Docker, Kubernetes) Familiarity with DevOps prac¢ces and CI/CD pipelines Data & Analy¢cs ¢ ¢ ¢ ¢ Experience with data preprocessing and feature engineering Knowledge of vector databases and seman¢c search Understanding of RAG (Retrieval Augmented Genera¢on) pa¢erns Familiarity with data governance and privacy compliance Preferred Qualica¢ons ¢ ¢ ¢ ¢ ¢ ¢ Bachelors degree in Computer Science, AI, or related eld 3+ years of experience in AI/ML development Microso¢ Azure cer¢ca¢ons (AI102, AI900) Experience with enterprise scale AI deployments Knowledge of industry specic AI applica¢ons Understanding of ethical AI principles and bias mi¢ga¢on So¢ Skills ¢ ¢ ¢ ¢ ¢ ¢ Strong problem solving and analy¢cal thinking Excellent communica¢on skills for technical and nontechnical stakeholders Ability to work in agile development environments Con¢nuous learning mindset to stay current with rapidly evolving AI technologies Collabora¢on skills for cross func¢onal team environments This role oers the opportunity to work at the forefront of AI technology while bridging the gap between complex AI capabili¢es and accessible business solu¢ons through modern low code/no code approaches.

Hiring (Sr.) AI/LLM Engineer in Pune/Bangalore. Work on LLMs, RAG, scalable AI solutions using Python, Transformers, LangChain. Requires strong ML skills. Apply now to join T-Systems' AI team. Apply- mugdhha.genesishrs@gmail.com Contact- 9370647192

Job Description: We are looking for an experienced Data Scientist with over 5 years of hands-on expertise in machine learning , particularly in clustering and classification tasks . The ideal candidate will have practical experience working with Large Language Models (LLMs) such as GPT, especially in areas like prompt engineering, summarization, and fine-tuning . Exposure to life sciences or biomedical datasets is highly desirable. Key Responsibilities: Design and implement machine learning models for clustering and classification. Work with LLMs for experimentation, evaluation, and fine-tuning. Apply data science techniques to healthcare or biomedical datasets. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings clearly through reports, dashboards, and presentations. Must-Have Skills: 5+ years of experience in data science and machine learning. Strong proficiency in clustering and classification techniques. Hands-on experience with Python and libraries like Scikit-learn, Pandas, NumPy. Experience working with LLMs (e.g., GPT) for real-world use cases. Exposure to healthcare, clinical, or life sciences datasets (preferred). Strong statistical analysis and data interpretation skills. Excellent communication and problem-solving abilities. Preferred Candidate Profile: Immediate joiners or candidates with a notice period of 015 days . Passionate about applying AI/ML to real-world problems in life sciences. Comfortable working in a fast-paced, collaborative environment.

Sr. Dataiku Expert - Job Description: We are looking for an inspired, energetic, and experienced Dataiku Developer/Support Engineer with 5 8 years of experience, who can translate ideas and requirements into a full-fledged and scalable ML flow. Candidates must have exposure to Dataiku 9 and above (or any similar Data/ML platform like Sagemaker, Alteryx, DataRobot, Domino), using AWS infrastructure along with a clear understanding of building custom code and visual recipes. The consultant hired will sit with the business first and understand and gather requirements. They will listen to the issues/problems in hand and formulate the desired solution. In order to be able to fulfill the desires of the business the candidate must have the following experience: Meeting with client stakeholders, troubleshooting Dataiku(or any similar Data/ML Platform) issues. Setting up, Building, and maintaining Code Environments on Dataiku(or any similar Data/ML Platform), AWS infrastructure and Linux Providing guidance to the end user Experience working with or helping clients with Dataiku flow, recipes, jobs, webapps Experience with Python, spark, or Pyspark coding language Experience on AWS (EC2, S3, EKS) Experience building or managing CI/CD pipeline using Jenkins. Nice to Have Experience working on MLOps Experience building Machine Learning models using any ML platform Experience writing automation scripts using Python, or Ansible Working on JIRA, Kanban

About the Role As a GenAI MLOps Engineer on our AI Engineering team, youll build, deploy, and maintain the core infrastructure that powers our generative-AI products. Youll partner closely with data scientists and software engineers to productionize LLM-based models, automate workflows, and keep services reliable and cost-effective. Core Responsibilities (Must-Have) Pipeline & CI/CD Design, build, and operate repeatable ML pipelines (data prep training evaluation deploy) using tools such as Airflow, Prefect, or cloud-native solutions. Author automated CI/CD workflows (GitHub Actions, Azure DevOps, or Jenkins) for model code, pipelines, and container builds, including linting and automated tests. Model Deployment & Serving Containerize models with Docker; deploy to Kubernetes (AKS/EKS/GKE) or serverless (Cloud Run, Azure Functions). Implement safe rollout patterns (canary, blue/green) to minimize risk when updating model versions. Monitoring & Alerting Instrument inference endpoints and pipelines with key metrics (latency, throughput) and logs. Create dashboards and alerts (Prometheus/Grafana or cloud-native alternatives) to detect errors, drift, and performance regressions. Cloud & Infrastructure Operate core compute resources on one major cloud platform (Azure Databricks, AWS SageMaker, or GCP Vertex AI). Write and maintain basic Infrastructure-as-Code (Terraform, or CloudFormation) for provisioning clusters and managed services. GenAI Orchestration & Vector Retrieval Use orchestration framework (e.g., LangGraph, Langfuse etc) to automate GenAI workflows. Support embedding-based retrieval pipelines: collaborate on vector index maintenance and refresh processes. Collaboration & Documentation Work with data science to integrate new models into production. Produce clear runbooks, architecture diagrams, and “on-call” guides. Qualifications 5 years in DevOps/MLOps roles, including at least 3 years supporting ML or deep-learning systems. Hands-on with one major cloud (Azure/AWS/GCP) and experience provisioning compute for training/inference. Strong skills in Docker and Kubernetes or serverless deployments. Proven ability to author CI/CD pipelines and IaC. Experience with monitoring stacks (Prometheus/Grafana, Datadog, or cloud-native tools). Familiarity with a prompt-orchestration framework (e.g., LangChain) and core vector-retrieval concepts. Soft Skills Effective communicator who can translate technical details to cross-functional teams. Strong problem-solver who can troubleshoot across data, model, and infrastructure layers. Eager to learn new tools and iterate rapidly in a fast-paced environment. Additional Information Growth & Nice-to-Have Security & Compliance: Basic API auth (OAuth/JWT), secrets management (Key Vault, AWS KMS), and data encryption. Testing & Validation: Data-quality checks (e.g., Great Expectations), adversarial testing, and automated model-quality gates. Scalability & Cost Optimization: Capacity planning, load testing (Locust, JMeter), spot-instance usage, and caching strategies (Redis). Reliability Engineering: Participation in on-call rotations, post-mortems, and error-budget SLOs; chaos-testing fundamentals. Experimentation Lifecycle: Tracking experiments and hyperparameter sweeps (MLflow, Optuna), and supporting A/B tests. Tooling Flexibility: Familiarity with alternative MLOps frameworks (Kubeflow, TFX) or observability stacks (OpenTelemetry). Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)

AI/ML & GenAI Development • Proven experience in building and deploying AI/ML and Generative AI applications • Hands of experience with RAG and Agentic AI based applications • Solid understanding of deep learning and Natural Language Processing (NLP) • Strong experience with Large Language Models (LLMs) and frameworks (e.g., Langchain, LlamaIndex) • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar • Expertise in building enterprise-grade, secure data ingestion for structured/unstructured data, including indexing, search, and advanced retrieval --- Software Development & Cloud Platforms • Strong proficiency in Python programming language • Hands-on experience with cloud platforms such as Azure and Databricks (preferred) • Strong experience in building CI/CD pipeline templates for AI software development lifecycle (SDLC), including ML Ops, RAG pipelines, and data ingestion pipelines

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Java react nextjs Lead Mandatory skills: Java, springboot, Microservices, React JS+nextjs/AIML Responsibilities include designing and developing high-volume, low-latency applications for mission-critical business systems / application services and modules. Delivering high-availability and performance. We expect them to contribute to all phases of the development lifecycle including writing well designed, testable, efficient code. Must be capable of working independently and collaboratively. ResponsibilitiesDeveloper responsibilities include, but are not limited to the following Experience as a Sun Certified Java Developer with proven hands-on Software Development experience. We use Java 8 6-10 years java development experience with JSE/JEE, Java based Micro-services framework and implementation, Spring framework, Hibernate framework, SQL etc Hands on experience on Spring boot & SPARK Microservices and OSGi specifications Hands on experience on ReactJS Strong knowledge of micro-service logging, monitoring, debugging and testing Implementations experience of micro-service integration, packaging, build automation and deployment At least two years of experience in SOA & Micro services based process applications using BPM (Activiti/JBPM/Camunda) Object Oriented analysis and design using common design patterns. Insight of Java and JEE internals (Class loading, Memory Management, Transaction management etc) Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC, Spring Boot) Hands on experience with Relational and NOSQL databases (Mongo DB or Cassandra either one is must) Hands on experience in one of the cloud AWS, Google or Azure. Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries,Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation

Job Title: Trainee Engineer Location: Chennai - Work from Office Eligibility: BE/BTech AI & DS with >=70% CGPA. No standing Arrears Salary: 3.6 LPA Key Responsibilities: Work closely with cross-functional teams to design, develop, and implement AI-driven tools and automation solutions. Collaborate with internal stakeholders to understand process pain points and identify AI/ML use cases to enhance efficiency and decision-making. Assist in the creation and testing of AI models using NLP, data analytics, and machine learning for internal operational improvements. Contribute to data collection, preprocessing, and pipeline design for training AI solutions. Help evaluate existing platforms and explore AI integrations with existing internal tools. Support documentation and knowledge base development for internal AI solutions. Participate in project sprints, meetings, and brainstorming sessions for innovation in employee experience and shared services. Create and contribute to knowledge base articles and internal knowledge-sharing forums. Required Skill Set: Technical Skills: Foundational understanding of AI/ML concepts, including supervised learning, NLP, and basic data science workflows. Strong programming skills in Python (preferred), with familiarity in libraries like Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch. Exposure to data querying and visualization. Awareness of modern AI tools such as ChatGPT, Copilot, or other Generative AI platforms. Knowledge in enterprise automation platforms. Process & Tools Knowledge: Familiarity with agile working methodologies. Willingness to learn internal tools and enterprise platforms. Understanding of data security and compliance basics. Soft Skills & Behavioral Competencies: Strong analytical and problem-solving mindset. Eagerness to learn and grow in a dynamic AI-centric environment. Ability to collaborate and communicate effectively with stakeholders. Adaptability, curiosity, and a proactive approach to innovation.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: GCP AI ML. Experience5-8 Years.

Overall 5+ years of experience Working experience in engineering , building ML applications in Python and deploying AIML models in production Familiarity with Developer Tools, CICD (Jenkins, Ansible, Shellscript), Github / Bitbucket etc. Preferred experience in Generative AI, Large Language models and related concepts - GPTs, BERT, NLP, RAGetc. Preferred experience with public cloud AIML services such as Azure OpenAI Mandatory Skills: Generative AI. Experience5-8 Years.

Mandatory Skills: Python, APIs, AI/ML, CI/CD and Kubernetes Model Deployment & TestingDeploy AI/ML models to development and production environments, ensuring functionality and performance. Model OptimizationEvaluate and size models appropriately to optimize performance and resource utilization. Custom Framework DevelopmentBuild custom frameworks for models that are not supported by existing deployment frameworks. Error Debugging & MonitoringIdentify and troubleshoot 4xx/5xx errors using Splunk and database logs. Performance MonitoringUtilize Grafana to monitor GPU usage, serving metrics, and request processing performance. Customer SupportCollaborate with customers to resolve serving and latency issues. CI/CD & Kubernetes: o Develop and manage CI/CD pipelines for automated deployments. o Deploy models in Kubernetes environments. Storage & InfrastructureCreate and manage Persistent Volume Claims (PVCs) for efficient storage management. Microservices ArchitectureWork within a microservices-based environment, ensuring seamless integration and scalability. Automation & Framework DevelopmentAutomate processes and develop new frameworks to improve deployment efficiency. Performance TestingConduct performance testing to ensure models meet latency and throughput requirements. Team Leadership & Individual ContributionCapable of leading a team while also working independently on critical tasks Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries,Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Python for Data Science. Experience5-8 Years.

Ready to build the future with AI? At Genpact, we dont just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of [Senior Manager], [Technical Architect, Gen-AI]! This position is based in India (preferably NCR) and is aimed at individuals who can lead the design and technical direction of enterprise-grade AI/ML, analytics, and full-stack solutions. As a Technical Architect, you will play a crucial role in shaping system architecture, guiding engineering teams, and ensuring robust, scalable, and maintainable software solutions using modern cloud and application technologies. Responsibilities Lead the technical architecture and design of end-to-end solutions across cloud and hybrid environments. Translate complex business requirements into scalable, performant, and secure technical designs. Collaborate closely with engineering, product, and business teams to align architectural goals with delivery objectives. Provide technical leadership and mentorship to development teams across technologies including backend, frontend, DevOps, and data layers. Define and enforce coding standards, design principles, architectural best practices, and governance processes. Drive cloud-native design on Azure, incorporating services such as Azure App Services, Azure Functions, etc. Actively contribute to POCs, reference architectures, reusable templates, and solution accelerators. Stay updated with emerging tools, technologies, and frameworks to recommend improvements and modernize existing systems. Qualifications we seek in you! Minimum Qualifications BE/B Tech/MCA or equivalent degree in technical discipline. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly to varied audiences. Preferred Qualifications/ Skills Hands-on experience in software development. Strong expertise in designing and implementing solutions using Python. Experience in AI/ML model deployment, MLOps, or GenAI integration. Deep understanding of Azure cloud ecosystem. Understanding of microservices architecture, API and integration patterns. Familiarity with databases (SQL/NoSQL), messaging systems, caching, and distributed systems. Strong problem-solving ability and experience with troubleshooting and performance optimization. Knowledge/experience of FnA domain (R2R, S2P, O2C) is a strong plus. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Ready to build the future with AI? At Genpact, we dont just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of [Senior Manager], [Technical Architect, Gen-AI]! This position is based in India (preferably NCR) and is aimed at individuals who can lead the design and technical direction of enterprise-grade AI/ML, analytics, and full-stack solutions. As a Technical Architect, you will play a crucial role in shaping system architecture, guiding engineering teams, and ensuring robust, scalable, and maintainable software solutions using modern cloud and application technologies. Responsibilities Lead the technical architecture and design of end-to-end solutions across cloud and hybrid environments. Translate complex business requirements into scalable, performant, and secure technical designs. Collaborate closely with engineering, product, and business teams to align architectural goals with delivery objectives. Provide technical leadership and mentorship to development teams across technologies including backend, frontend, DevOps, and data layers. Define and enforce coding standards, design principles, architectural best practices, and governance processes. Drive cloud-native design on Azure, incorporating services such as Azure App Services, Azure Functions, etc. Actively contribute to POCs, reference architectures, reusable templates, and solution accelerators. Stay updated with emerging tools, technologies, and frameworks to recommend improvements and modernize existing systems. Qualifications we seek in you! Minimum Qualifications BE/B Tech/MCA or equivalent degree in technical discipline. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly to varied audiences. Preferred Qualifications/ Skills Hands-on experience in software development. Strong expertise in designing and implementing solutions using Python. Experience in AI/ML model deployment, MLOps, or GenAI integration. Deep understanding of Azure cloud ecosystem. Understanding of microservices architecture, API and integration patterns. Familiarity with databases (SQL/NoSQL), messaging systems, caching, and distributed systems. Strong problem-solving ability and experience with troubleshooting and performance optimization. Knowledge/experience of FnA domain (R2R, S2P, O2C) is a strong plus. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

We are hiring for - Role: Tech Product Manager( Cyber Risk and Compliance Management) Experience: 5-10 Years Location: Bangalore We are looking for a highly motivated and experienced Cyber Risk and Compliance Practitioner to drive the evolution of our cutting-edge, AI-powered Governance, Risk, and Compliance (GRC) products. This unique role bridges deep cybersecurity risk and compliance expertise with the transformative capabilities of Artificial Intelligence. The ideal candidate will have hands-on experience in cyber risk and compliance management , in addition to a keen understanding of how AI technology can enhance risk identification, treatment, and reporting. You will be at the forefront of product innovation, engaging closely with CISOs, cyber risk managers, and security teams to address their critical workflows. Key Responsibilities Product Roadmap & Execution: Lead the product vision and execution for AI features in our GRC suite, bringing insight into leveraging AI for threat detection, vulnerability management, and risk quantification. Cross-functional Collaboration: Partner with engineering, data science, design, and QA teams to ensure the delivery of secure, scalable, and cyber risk-aligned product capabilities. User Research: Conduct deep-dive interviews and research with cyber stakeholders to pinpoint pain points, regulatory requirements, and opportunities for improvement across threat and control landscapes. Requirements Management: Translate complex business and user needs into clear product requirements, user stories, and acceptance criteria informed by real-world risk scenarios and industry standards. Prioritization & Backlog Management: Prioritize product enhancements to maximize value for cyber risk professionals, strengthen risk posture, and aid in incident response and resilience. Client Feedback Loop: Work with sales and customer success teams to integrate actionable client feedback into the product lifecycle, focusing on user experience for cyber risk stakeholders. Metrics & Analysis: Monitor adoption and effectiveness of AI-powered features, using product data to inform ongoing risk mitigation and reporting enhancements. Product Evangelism: Advocate for the product through presentations, documentation, and customer engagements, articulating its value for cyber risk and security teams. Subject Matter Expertise: Contribute your deep expertise in cyber risk management, threat modeling, NIST CSF, ISO 27005, and regulatory frameworks such as GDPR, PCI DSS, and DORA. Skills and Experience Experience : 510 years in Cyber Risk, Compliance, or Security Risk Management roles, preferably within high-impact or regulated environments. Domain Expertise : Advanced understanding of cyber risk methodologiesthreat identification, impact analysis, vulnerability management, and risk treatment. Technical Acumen : Familiarity with AI/ML applications in cybersecurity (e.g., anomaly detection, behavioral analytics, automated risk prioritization). Product Mindset : Experience with design thinking and product development lifecycle (PDLC). Compliance Frameworks : Working knowledge of data protection laws and cybersecurity standards (e.g., NIST, ISO 27001, SOC 2). Certifications : Professional credentials such as CISSP, CRISC, CISM, or CEH. Security Product Development: Proven experience in security product creation or as a subject matter expert in GRC initiatives. Education Bachelor's or Master's degree in Cybersecurity, Information Technology, Risk Management, or related discipline. -- Muugddha Vanjarii 7822804824 mugdha.vanjari@sunbrilotechnologies.com

We are looking for a highly skilled Business Analyst with a focus on AI Cognitive at Wipro Technologies, specifically within the TS - DATA ANALYTICS & AI sector. you will be responsible for driving innovation and delivering top-notch AI/ML solutions in the healthcare sector. Your role will involve a wide range of tasks from AI/ML development and deployment to collaboration with cross-functional teams and ensuring compliance with AI ethics and standards. Preferred qualifications for this role include experience in AI/ML in healthcare, proficiency in Python and deep learning frameworks like PyTorch, and expertise in working with cloud development environments such as Azure, AWS, and GCP. You should also have a solid understanding of Generative AI technology, NLP, and machine learning models deployment. Mandatory Skills: AI Cognitive. Experience5-8 Years.

Responsibilities and Impact Accurately annotate and label data to support the development and enhancement of data products across Commodity Insights. Collaborate with business subject matter experts, product managers and developers to ensure annotations align with the requirements of various commodity data products. Utilize custom tools and workflows to efficiently process and annotate data at speed, minimizing manual input where possible. Participate in training sessions to enhance annotation techniques and deepen understanding of commodity insights products. Contribute to the continuous improvement of annotation guidelines and processes, ensuring they meet the evolving needs across Commodity Insights. What Were Looking For: Basic Required Qualifications Bachelor's degree or equivalent experience in a relevant field. Strong attention to detail and ability to work with complex data sets. Familiarity with data annotation tools and processes. Excellent communication skills to collaborate effectively with team members. Ability to work independently and manage time efficiently in a fast-paced environment. Additional Preferred Qualifications Experience or knowledge in commodity markets or related fields. Proficiency in using data management and annotation software. Demonstrated ability to adapt to new technologies and processes. Strong analytical skills and problem-solving abilities.

Data scientist role 6+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Call on 7042331616 or drop cv on supreetbakshi@imaginators.co

Job description Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW : Role: Data ScientistIndustry Type: IT Services & ConsultingDepartment: Data Science & AnalyticsEmployment Type: Full Time, PermanentRole Category: Data Science & Machine Learning EducationUG: Any GraduateKe

Position Title: Scrum Master Reports To: PMO/ Chief Executive Officer Work Location: Bangalore Position Summary: The Scrum Master will bring excellent knowledge of the scrum framework and its artifacts and techniques. The Scrum Master will also need the ability to coordinate people and projects (occasionally facilitating changes) with a mindset on deliverables. They will need to be a strong communicator, a capable leader, and invested in Agile frameworks. Essential Duties and Responsibilities: The essential duties of the position include the following, and other duties may be assigned: Represent the stakeholders and users in the AI/ML development team. Define and communicate the product vision, goals, and roadmap to the development team, ensuring alignment with business objectives. Collaborate with stakeholders to gather and analyse requirements and translate them into user stories and acceptance criteria. Prioritize the product backlog based on business value, stakeholder needs, and development team capacity. Work closely with the AI/ML development team to ensure a clear understanding of the requirements and provide guidance throughout the development process. Facilitate sprint planning, backlog grooming, and daily stand-up meetings, ensuring that the team is focused and working efficiently. Remove any impediments or obstacles that may hinder the team's progress, and escalate issues as needed. Ensure the delivery of high-quality AI/ML products within the agreed-upon timelines and budget. Collaborate with UX/UI designers and other stakeholders to ensure a seamless user experience and effective product design. Monitor and track project progress, provide regular updates to stakeholders, and manage expectations regarding scope, timeline, and deliverables. Conduct sprint reviews and retrospectives to gather feedback, identify areas of improvement, and drive continuous process optimization. Stay up to date with AI/ML technologies, industry trends, and best practices in Agile development methodologies. Supervisory Responsibilities: None Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education/Experience: Bachelor's degree in engineering is mandatory. Master's degree in computer science is a plus. Minimum of 10 years of experience as a Scrum Master, preferably in AI/ML or technology-related projects. Proven experience in Agile project management methodologies, particularly Scrum, and a solid understanding of Agile principles and practices. Familiarity with AI/ML concepts, including machine learning, deep learning, data pre-processing, and model development. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders at all levels of the organization. Strong leadership and facilitation skills, with the ability to guide and motivate a development team to achieve project goals. Proficiency in Agile project management tools for backlog management and project tracking. Advanced skills in JIRA, with demonstrated automation, QA and release notes. Demonstrated ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment. Strong problem-solving and analytical skills, with a proactive and solution-oriented mindset. Understanding of user-centred design principles and the ability to advocate for a positive user experience. Language Ability: Ability to read and comprehend instructions, correspondence, and memos. Ability to write moderately complex correspondence. Ability to effectively converse and present information in one-on-one and small group situations to customers, clients, and other employees of the organization. Math Ability: Ability to analyze and interpret data to track team performance metrics such as velocity, burn-down charts, and cumulative flow diagrams. Proficiency in basic arithmetic for calculating sprint progress, story points, and resource allocation. Strong problem-solving skills to identify and resolve issues related to team performance and project timelines. Basic understanding of statistical concepts to analyze team performance trends and forecast future sprints. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret feedback from non-skilled technical system users to uncover the source of problems and persistence to efficiently provide solutions. Extreme attention to detail is required to ensure proper documentation of facts. Ability to adapt well in the face of workplace stressors such as customer service complaints, maintaining the security of data, competing priorities of high significance to the successful function of the department. Computer Skills: A significant comfort level in using accounting software and a variety of computer software programs such as Microsoft Office products, web browsers, and CRM tools. Certificates and Licenses: Certified ScrumMaster (CSM) or Professional Scrum Master (PSM) certification preferred. Travel: This position may require minimal travel (up to 5%) for meetings, training, or conferences. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job in an office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. A typical, climate-controlled office environment exists. The worker is not substantially exposed to adverse environmental conditions. Management Expectations: Demonstrate Expertise: Serve as the foremost Subject Matter Expert (SME) within the department, possessing extensive knowledge and proficiency in the relevant field. Lead Team Effectively: Direct and supervise a team of employees, providing training, guidance, and support to ensure the team achieves departmental objectives. Lead and guide the team while fostering a positive and productive work environment. Manage Operations Efficiently: Oversee day-to-day operations and workflow, including prioritizing tasks, resolving escalations, allocating resources, managing time and attendance, overseeing payroll, and facilitating departmental onboarding and training. Evaluate Performance Regularly: Monitor and assess team performance on a regular basis, offering constructive feedback, coaching, and conducting performance reviews to drive continuous improvement. Set clear goals and establish performance metrics to measure success. Collaborate Strategically: Collaborate with senior management and cross- functional teams to develop and implement strategies, policies, and initiatives that contribute to organizational growth and success. Ensure Effective People Management: Execute consistent and effective practices in recruiting, onboarding, professional development, succession planning, performance management, and retention. Promote Positive Work Environment: Cultivate a positive work environment by fostering collaboration, communication, and teamwork among team members. Address departmental issues, resolve urgent matters, and lead efforts in conflict resolution. ISM and Privacy Statement: Data Handling in Product Development: Ensure that products are developed with privacy by design, incorporating necessary data protections from the beginning. Data Minimization: Limit data collection to what is necessary for product functionality and ensure proper anonymization or pseudonymization of personal data where possible. Privacy Risk Management: Conduct risk assessments related to data privacy and security for new product features or business solutions.

1.2–4 years of experience in data science and machine learning using Python. 2.Strong knowledge of libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch. 3.Hands-on experience with LLMs, NLP tasks, and fine-tuning/pretraining models. Required Candidate profile 1.Familiarity with AI/ML deployment and performance tuning. 2.Experience working with REST APIs, JSON, and integration of ML models into applications.

Job Title: AI/ML Engineer Python Backend & LLMs Job Summary: We are seeking a Python Backend Engineer with experience in AI/ML workflows , particularly LLMs and LangChain . The role focuses on developing Generative AI-driven applications, integrating LLMs, building data-pipelines, and backend services. Prior experience with generative AI is strongly preferred. Key Responsibilities: Implement LangChain/LangGraph workflows for AI-driven automation. Fine-tune LLMs for business applications. Build and optimize FastAPI-based backend services. Manage data pipelines and storage using PostgreSQL . Deploy and scale AI models using Docker (Kubernetes is a plus). Work with AWS SageMaker, GCP Vertex AI, or Azure ML for model deployment. Improve inference efficiency and reduce latency for real-time AI applications. Required Skills: Strong Python backend development (FastAPI preferred). Experience with LLMs, and prompt engineering . Hands-on experience with LangChain/LangGraph . Knowledge of PostgreSQL and scalable data storage. Familiarity with Docker, Kubernetes for containerization. Exposure to at least one cloud platform (AWS/GCP/Azure).