1228 Aiml Jobs - Page 41

Role: ML Engineer Experience: 3 to 15 Years Chennai location must or relocation also fine- Hybrid mode We have good budget Job Description: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

Project Role : Scrum Master Project Role Description : Acts as an enabler for the effective functioning of a software development team using Agile methodologies. Coaches and mentors the Scrum Team(s), removing barriers to successful implementation and enabling a continued focus on the task at hand. Facilitates scrum and agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives. Identifies and reports progress via appropriate metrics. Must have skills : Adobe Workfront Work Management Software Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Scrum Master, you will act as an enabler for the effective functioning of a software development team using Agile methodologies. Your typical day will involve coaching and mentoring the Scrum Team, facilitating various Agile ceremonies, and ensuring that the team remains focused on their tasks. You will work closely with team members to identify and remove any barriers that may hinder their progress, while also tracking and reporting on the team's performance through appropriate metrics. Your role is crucial in fostering a collaborative environment that promotes continuous improvement and high-quality deliverables. You must have knowledge on AWS Basics, Python, Adobe WF/AEM Basics, Web Technologies Basics, ML/AI/LLM Basics. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate communication between team members and stakeholders to ensure alignment on project goals.- Encourage a culture of continuous improvement by implementing feedback mechanisms and promoting best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Workfront Work Management Software.- Strong understanding of Agile methodologies and frameworks.- Experience in coaching and mentoring teams in a Scrum environment.- Ability to facilitate meetings and discussions effectively.- Proficient in using metrics to track team performance and progress. Additional Information:- The candidate should have minimum 7.5 years of experience in Adobe Workfront Work Management Software.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Experience: 10+ years overall | Minimum 10 full-cycle AI/ML project implementations, including GenAI experience Role Summary: We are seeking a AI Architect to lead strategic AI transformation initiatives within the retail domain. This role demands deep hands-on experience in AI, Machine Learning (ML), and Generative AI (GenAI), along with the ability to engage directly with C-level stakeholders, align technical delivery with business objectives, and drive enterprise-wide adoption of advanced AI solutions.The ideal candidate is a techno-strategic leader who can take AI/ML/GenAI projects from ideation to productionbuilding architectures, leading cross-functional teams, and ensuring regulatory and operational alignment in retail environments.Key Responsibilities:Consulting & Business Alignment Partner with senior business and IT leadership, including CIOs, CDOs, and COOs, to identify high-impact use cases across e-commerce, retail operations, supply chain, and customer experience. Translate complex retail challenges into technically feasible and scalable AI/ML/GenAI solutions. Create strategic roadmaps, capability assessments, and PoV/PoC execution plans that align with business KPIs and regulatory needs. Solution Architecture & Delivery Leadership Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring. Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent product recommendation engines, RAG pipelines, summarization tools, and virtual assistants. Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability. Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and compliance with retail regulations (GDPR, CCPA, SOC2, etc.). Engineering & Integration Work closely with data engineering teams to acquire, transform, and pipeline data from retail systems, customer databases, inventory management systems, and real-time feeds. Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases. Enable seamless integration of AI capabilities into enterprise workflows, customer platforms, and decision engines via APIs and microservices. Required Skills & Experience: 10+ years of experience in AI/ML, data engineering, and cloud architecture. Minimum of 5 end-to-end AI/ML project implementations from use case discovery through to productionization. Proven expertise in: (Any One) AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma) Cloud platforms: AWS, Azure, GCP including AI/ML & GenAI native services MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines Strong experience with data security, governance, model risk management, and AI compliance frameworks relevant to retail. Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders.

Role Overview: We are seeking a dynamic Senior Engineering Manager who will play a pivotal role in leading and growing our engineering teams. This individual will oversee the delivery of high-impact systems and products, from concept to completion, while managing a team of engineers and collaborating with cross-functional teams. The ideal candidate will bring a deep understanding of system design, strong technical expertise in modern technologies, and the ability to inspire, mentor, and lead a diverse engineering team. Experience with Node.js, React.js, TypeScript, Cloud platforms, and AI/ML technologies is highly desirable. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and inspire a team of engineers, fostering a culture of innovation, collaboration, and continuous learning. Manage the career growth, performance, and development of team members. Foster a high-performance, agile, and inclusive environment. Provide guidance on technical and operational challenges to engineers, helping them grow both technically and professionally. Delivery Management: Oversee the end-to-end delivery of engineering projects, ensuring timely and high-quality releases. Collaborate with product, design, and other engineering teams to align on project goals, timelines, and requirements. Ensure that projects are executed in line with agile methodologies, balancing speed with technical excellence. Drive continuous improvement in delivery processes, monitoring key metrics, and mitigating risks. System Design and Architecture: Lead the design and architecture of scalable, reliable, and high-performance systems. Collaborate with other senior technical leaders to establish best practices and ensure that system design meets business needs and technical requirements. Ensure that systems are designed with a focus on maintainability, scalability, and security. Technical Expertise: Provide hands-on technical leadership in areas such as Node.js, React.js, TypeScript, Cloud technologies (AWS, Azure, GCP), and AI/ML. Ensure that the engineering team is aligned with the latest technology trends, tools, and practices. Assist in solving complex technical challenges and drive technical decision-making. Collaboration and Stakeholder Management: Collaborate closely with product managers, designers, and other stakeholders to ensure that engineering efforts align with the companys strategic objectives. Communicate engineering progress, challenges, and risks to senior leadership and stakeholders. Qualifications: Experience: 7+ years of experience in software engineering, with at least 3+ years in an engineering management or leadership role. Proven experience in delivering complex systems and projects in fast-paced, agile environments. Strong experience with system design and architecture for scalable, cloud-based solutions. Technical Skills: Proficiency in Node.js, React.js, TypeScript, and modern JavaScript frameworks. Experience with cloud platforms (AWS, Azure, GCP) and deploying scalable applications. Familiarity with AI/ML technologies and how they integrate with cloud services. Strong understanding of software engineering best practices, including code reviews, testing, CI/CD pipelines, and version control. People Skills: Experience managing and mentoring engineering teams. Strong interpersonal and communication skills with the ability to engage with technical and non-technical stakeholders. Ability to lead by example and motivate teams toward achieving engineering excellence.

Job Title: Full Stack Developer Generative AI Range: 5-10 Years Location: Noida Job Summary We are seeking a Senior Full-Stack Developer to join our Architecture Practice at Xceedance. In this role, you will design and develop AI-powered applications using Python, .NET Core, Angular, and Azure. You will work on integrating AI models, building scalable cloud-native systems, and leveraging tools like GitHub Copilot, Azure Foundry, Agentic frameworks to accelerate development.This is a hands-on role at the intersection of full-stack engineering and AI innovation, including agentic AI, AI-assisted SDLC, and other emerging technologies. Key Responsibilities Full-Stack Development Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). Develop responsive frontend applications using Angular (13+) and Stream lit for rapid AI tool prototyping. Integrate AI/ML and LLM models into end-to-end application workflows. AI-Driven SDLC Use AI coding assistants like GitHub Copilot or Code Whisperer to enhance development speed and code quality. Automate testing, code analysis, and deployment using CI/CD pipelines and AI tools. Cloud Deployment Deploy and manage applications on Azure (App Services, Functions, Azure SQL, AI Studio). Implement microservices and event-driven architectures in collaboration with solution architects. Collaboration & Leadership Mentor junior developers on AI/ML integration and modern development practices. Contribute to architectural decisions and technical strategy. Required Skills & Qualifications 5-8 years of experience in web-based application development. Mandatory 5+ years of full-stack development experience with Python and .NET Core. 3+ years of frontend development using Angular, TypeScript, and RxJS. Hands-on experience integrating AI/ML models (e.g., scikit-learn, PyTorch) into production applications. Proficiency in Azure cloud services (App Services, Functions, Azure SQL). Preferred Experience with AI coding tools like GitHub Copilot or CodeWhisperer. Familiarity with Streamlit for AI/ML UI prototyping. Knowledge of Azure Machine Learning, LLM fine-tuning (e.g., GPT, Claude). DevOps skills: CI/CD, Docker, Infrastructure as Code (IaC). Education and Experience Bachelors degree in computer science, Engineering, or a related field (or equivalent practical experience). 58 years of hands-on development experience, including 2+ years in AI/ML projects. Portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML (preferred).

At GreenStitch , we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives. The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs. You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitchs mission, values, and ethical standards. What Youll Do: AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency. Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges. Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities. Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements , rapidly prototype solutions, and iterate on ideas for continuous improvement . Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact , ensuring production readiness. Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions . Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals. Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders. What Youll Bring: Education: Bachelors/Masters degree in Data Science, Computer Science, AI, or a related field . Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning . Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks ( TensorFlow, PyTorch ), and cloud platforms ( Azure, AWS, GCP ). Software Development: Experience in Python, Java , or similar languages, and familiarity with MLOps tools . Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach. Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications. Collaboration & Communication: Strong ability to work with cross-functional teams , communicate complex ideas, and drive AI adoption. Why GreenStitch GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will: Work on high-impact AI projects that contribute to sustainability and decarbonisation. Be part of a dynamic and collaborative team committed to making a difference. Enjoy a flexible, hybrid work model that supports professional growth and work-life balance. Receive competitive compensation and benefits , including healthcare, parental leave, and learning opportunities .

End-to-End Product Design: Own the design lifecycle for complex featuresfrom research and ideationthrough to prototyping, high-fidelity UI, developer handoff, and qualityassurance. User Research Persona Development: Conduct stakeholder interviews, contextual inquiry, usability studies, journeymapping, and persona building for diverse enterprise user roles (developers,analysts, business users, etc.). Wireframing Prototyping: Translate product requirements into user flows, wireframes, interactiveprototypes, and design system components in Figma (or similar tools). Design System Leadership: Develop and evolve a scalable design system covering atomic/componentstructures, documentation, accessibility, and theming (multi-brand, light/darkmodes, etc.). Collaboration Stakeholder Management: Partner with Product Managers, Engineers, Data Scientists, and QA to ensureseamless implementation, resolving gaps between UX vision and technicalfeasibility. AI/ML Workflow Visualization: Design advanced interfaces for AI agent orchestration, workflow builders(drag-and [1] drop,node/graph UI), model monitoring, data visualization, and resultexplainability. Accessibility Compliance: Champion accessibility best practices (WCAG 2.1+, keyboard navigation, ARIA),ensuring products are usable by all users, including those with disabilities. Rapid Prototyping MVP Launches: Lead rapid design iterations for MVP launches, gather and incorporate userfeedback, and iterate quickly based on analytics and usage patterns. Usability Testing Continuous Improvement: Plan, conduct, and analyze remote and in-person usability tests; drivecontinuous product and UX improvements using research and data. Mentoring Team Growth: Mentor junior and mid-level designers, participate in hiring, and help nurturea high-performance design culture. Required Skills Qualifications Experience: o 9+ years in UI/UX/Product Design, with at least 3 years in enterpriseSaaS, workflow, or data/AI product environments. o Demonstrated leadership in large-scale product launches and/or design systemimplementation. Portfolio: o Strong portfolio showcasing complex B2B, SaaS, AI/ML, or workflow automationproducts. o Evidence of solving highly technical problems through user-centered design. Design Tools: o Mastery of Figma, Adobe Creative Suite, Sketch, prototyping, and usabilitytesting tools (e.g., Maze, UsabilityHub, Lookback.io). Methodologies: o Deep understanding of design thinking, user research, informationarchitecture, interaction design, and accessibility. Technical Understanding: o Familiarity with front-end technologies (HTML/CSS, design tokens, componentlibraries). o Experience designing for complex state management, data visualization, andcollaborative multi-user environments. Soft Skills: o Excellent communication, stakeholder management, workshop facilitation, andcross-functional collaboration. Bonus Points For Experience in AI/ML platforms, agent orchestration tools, or no-code/low-codeproducts. Building or evolving white-label design systems. Experience with internationalization / localization , SOC2/GDPR compliance, andhigh [1] scalemulti-tenant SaaS. Exposure to agile teams, rapid prototyping, and A/B experimentation. WhatYoull Get The chance to help define and build market-leading AI/ML platforms from theground up. A collaborative environment with passionate experts in AI, data science, andproduct engineering. Opportunities for professional growth, conference participation, andmentoring. Competitive salary and benefits, plus the freedom to influence productdirection at a high level.

Job Descriptio n: Must have experience in AI Enterprises Architecture. Hands on experience in hybrid cloud platforms ( AWS, Azure, GCP). Should have experience in AI Infrastructure Architect, Design, Development, Deployment or Implementation. Expertise in AI and machine learning (ML) technologies with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Good knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Preferable Candidate Profile: Looking for 7+ years of experience in AI Enterprises Architecture/AI Infrastructure Solution Architect preferable from Service Based Company with exposure of multiple industries projects.

We are Hiring Freshers, who are passionate to build their careers in Artificial Intelligence/Machine Learning/Data Science Eligibility : All PG & UG graduates can apply for interview AI/Machine Learning/Data Science - Freshers Bulk Hiring Required Candidate profile BCA /BSC/B.E/ B.tech / M.tech (IT/CS)/ MCA Freshers Artificial Intelligence/Machine Learning/Data Science - Freshers Bulk Hiring Contact HR : 8904348261 for interview

Opportunity: We are seeking a highly skilled and experienced AI Infrastructure Engineer (or MLOps Engineer) to design, build, and maintain the robust and scalable AI/ML platforms that power our cutting-edge asset allocation strategies. In this critical role, you will be instrumental in enabling our AI Researchers and Quantitative Developers to efficiently develop, deploy, and monitor machine learning models in a high-performance, secure, and regulated financial environment. You will bridge the gap between research and production, ensuring our AI initiatives run smoothly and effectively. Responsibilities: Platform Design & Development: Architect, implement, and maintain the end-to-end AI/ML infrastructure, including data pipelines, feature stores, model training environments, inference serving platforms, and monitoring systems. Environment Setup & Management: Configure and optimize AI/ML development and production environments, ensuring access to necessary compute resources (CPUs, GPUs), software libraries, and data. MLOps Best Practices: Implement and advocate for MLOps best practices, including version control for models and data, automated testing, continuous integration/continuous deployment (CI/CD) pipelines for ML models, and robust model monitoring. Resource Optimization: Manage and optimize cloud computing resources (AWS, Azure, GCP, or on-premise) for cost-efficiency and performance, specifically for AI/ML workloads. Data Management: Collaborate with data engineers to ensure seamless ingestion, storage, and accessibility of high-quality financial and alternative datasets for AI/ML research and production. Tooling & Automation: Select, implement, and integrate various MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker, DataRobot, Vertex AI, Airflow, Jenkins, GitLab CI/CD) to streamline the ML lifecycle. Security & Compliance: Ensure that all AI/ML infrastructure and processes adhere to strict financial industry security standards, regulatory compliance, and data governance policies. Troubleshooting & Support: Provide expert support and troubleshooting for AI/ML infrastructure issues, resolving bottlenecks and ensuring system stability. Collaboration: Work closely with AI Researchers, Data Scientists, Software Engineers, and DevOps teams to translate research prototypes into scalable production systems. Documentation: Create and maintain comprehensive documentation for all AI/ML infrastructure components, processes, and best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field. Experience: 3+ years of experience in a dedicated MLOps, AI Infrastructure, DevOps, or Site Reliability Engineering role, preferably in the financial services industry. Proven experience in designing, building, and maintaining scalable data and AI/ML pipelines and platforms. Strong proficiency in cloud platforms (AWS, Azure, GCP) including services relevant to AI/ML (e.g., EC2, S3, Sagemaker, Lambda, Azure ML, Google AI Platform). Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes). Solid understanding of CI/CD principles and tools (Jenkins, GitLab CI/CD, CircleCI, Azure DevOps). Proficiency in scripting languages like Python (preferred), Bash, or similar. Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible). Familiarity with distributed computing frameworks (e.g., Spark, Dask) is a plus. Understanding of machine learning concepts and lifecycle, even if not directly developing models. Technical Skills: Deep knowledge of Linux/Unix operating systems. Strong understanding of networking, security, and database concepts. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with data warehousing and data lake concepts. Preferred candidate profile Exceptional problem-solving and debugging skills. Proactive and self-driven with a strong sense of ownership. Excellent communication and interpersonal skills, able to collaborate effectively with diverse teams. Ability to prioritize and manage multiple tasks in a fast-paced environment. A keen interest in applying technology to solve complex financial problems.

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

Client : Accenture Level : Manager/ Senior Manager Project Role : AI / ML Architect Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : AI/ML, NLP, LLM, GEN AI Experience : 12- 20 years Educational Qualification : 15 years full time education Summary: As an AI / ML Architect, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions.

Job Title: Product/Application Architect Summary We are seeking a hands-on Product/Application Architect with a proven track record in building enterprise-scale, full-stack applications and AI/ML-powered solutions. The ideal candidate is a strong technical leader who excels in system architecture, cross-functional collaboration, and mentoring engineering teams. You will own architectural decisions across product lines, ensure scalable and maintainable system design, and drive the integration of AI/ML into modern digital platforms. This role demands a combination of deep technical expertise, proactive leadership, and effective communication. Key Responsibilities Architecture & Solution Design Architect robust, scalable, and secure enterprise applications across frontend, backend, and cloud layers. Design and guide the integration of AI/ML models into product workflows, ensuring performance, maintainability, and observability. Define and enforce architectural standards, reusable patterns, and best practices across teams. Technical Leadership Provide hands-on technical direction throughout the software development lifecycle. Review designs and code to uphold architectural integrity and code quality. Introduce and drive adoption of new tools, technologies, and frameworks. Collaboration & Mentorship Translate business needs into high-impact technical solutions through close collaboration with product, design, and data teams. Mentor engineers, provide architectural guidance, and elevate team capabilities. Communicate architectural decisions clearly to both technical and non-technical audiences. Delivery & Execution Support agile development practices, CI/CD pipelines, and DevOps processes. Anticipate and resolve architectural challenges to ensure delivery speed and quality. Continuously evaluate system performance and make improvement recommendations. Required Qualifications Bachelors or Masters in Computer Science or related field. 10+ years in software engineering, with 3+ years in an architecture or technical leadership role. Experience building full-stack applications using technologies like React, Angular, Node.js, Python, Java, or Golang. Strong background in cloud-native development (AWS or GCP), microservices, and containerization (Docker, Kubernetes). Practical experience designing and deploying AI/ML features using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Deep understanding of system design, API architecture, scalability, and performance optimization. Strong communicator with the ability to influence technical and business stakeholders. Proven experience mentoring teams and fostering engineering excellence.

AI/ML Solutions, Hands-on experience in Deep Learning, RAG, LLMs, AI offerings on Cloud (GCP, Azure, AWS), DBMS like SQL, NoSQL,

Job Description: Sr. Software Engineer (Python) Company: Karini AI Location: Pune (Wakad) Experience Required: 3 - 5 years Compensation: Not Disclosed Role Overview : We are seeking a skilled Sr. Software Engineer with advanced Python skills with a passion for product development and a knowledge of Machine Learning and/or Generative AI. You will collaborate with a talented team of engineers and AI Engineers to design and develop high-quality Generative AI platform on AWS. Key Responsibilities : Designed and developed backend applications and APIs using Python. Work on product development, building robust, scalable, and maintainable solutions. Integrate Generative AI models into production environments to solve real-world problems. Collaborate with cross-functional teams, including data scientists, product managers, and designers, to understand requirements and deliver solutions. Optimize application performance and ensure scalability across cloud environments. Write clean, maintainable, and efficient code while adhering to best practices. Requirements : 3-5 years of hands-on experience in Product development. Demonstrable experience in understanding advanced python concepts for building scalable systems. Demonstrable experience working with FastAPI server in production environment. Familiarity with unit testing, version control and CI/CD Good understanding of Machine Learning concepts and frameworks (e.g., TensorFlow, PyTorch). Experience with integrating and deploying ML models into applications is a plus. Knowledge of database systems (SQL/NoSQL) and RESTful API development. Exposure to containerization (Docker) and cloud platforms (AWS). Strong problem-solving skills and attention to detail. Preferred Qualifications : Bachelor of Engineering in Computer Science, Information Technology, or any other engineering discipline. M.Tech, M.E. & B.E-Computer Science preferred. Hands-on experience in product-focused organizations. Experience working with data pipelines or data engineering tasks. Knowledge of CI/CD pipelines and DevOps practices. Familiarity with version control tools like Git. Interest or experience in Generative AI or NLP applications. What We Offer: Top-tier compensation package, aligned with industry benchmarks. Comprehensive employee benefits including Provident Fund (PF) and medical insurance. Experience working with Ex-AWS founding team with the fastest growing company. Work on innovative AI-driven products that solve complex problems. Collaborate with a talented and passionate team in a dynamic environment. Opportunities for professional growth and skill enhancement in Generative AI A supportive, inclusive, and flexible work culture that values creativity and ownership.

Overview This role is in the newly formed Process Excellence & Transformation function in PepsiCos Strategy & Transformation team focused on driving Process Excellence and Re-engineering initiatives for end to end value streams and business processes. The objective of the role is to lead process diagnostics and re-engineering to deliver business impact through operations excellence, standardization and automation initiatives across markets including those supported by our global Capability Centers. The role will support end-to-end process transformation roadmaps as well as specific transformation teams to identify continuous improvement opportunities to deliver business value and enhance customer experience. Initiatives will include driving and mentoring Lean Six Sigma projects, process modelling, process mining diagnostics, process automations and statistical analysis for performance variation and benchmarking to enable operations teams and business stakeholders to meet their goals. He / She will operate as internal consultants, working with cross-functional and global teams on multiple projects. They will be expected to have great presentation skills and ability to influence change with senior stakeholders, functional experts, and delivery teams. They may also be required to conduct Lean Six Sigma Kaizen sessions, facilitate Value Stream Mapping and Design Thinking sessions. They will need to work closely with Hyper Automation teams and be adept in Agile and Scrum methodologies. The role will report to senior leaders in the Process Excellence & Transformation team. Responsibilities As well as the above requirements, we are also looking for candidates with below-differentiating skills, let us know if you have them, to put your profile on top Excellent Stakeholder Management skills Ability to drive consensus and manage change across multiple cross-functional teams Proven ability in identifying, quantifying and delivering value across end to end value streams Business Process Management and process conformance analysis using process modeling. Process Mining, value enablement, and roadmap execution. Task Mining, opportunity identification for standardization and automation Agile project management to support hyper-automation projects. Experience in AI ML projects to drive process analytics and support business outcomes. Experience in change management to ensure project implementation and adoption Qualifications Overall, 13+ years of experience with at least 5+ years experience in business transformation and automations Industry certifications for Celonis, Soroco and ARIS among others Track record of delivering high value business improvement projects Preferred- experience in mentoring Green Belt projects and automations Experience working with and influencing senior stakeholders Ability to lead cross-functional projects Working with tight deadlines

Job Description: Designs and implements AI architectures based on client needs Strategically utilizes the in-house data center as a platform for customer AI workloads Collaborates closely with international teams of data scientists, engineers, and infrastructure specialists Aligns AI solutions with compute, storage, and network capacities across private, hybrid, and public infrastructures Makes strategic choices in AI tools and technologies with a focus on open source and scalability Supports MLOps implementations, CI/CD, data pipelines, and lifecycle management Contributes to AI governance, reliability, and solution scalability Keeps up with the latest developments in AI, hardware acceleration, and infrastructure Assists clients in leveraging AI at an enterprise level Requirements: At least 10 years of experience as an AI Architect or in a comparable technical AI role Experience developing AI solutions for clients in an enterprise environment Experience working in an international context with cross-functional teams Experience with AI hardware and solutions from NVIDIA, IBM, and HPE is a plus In-depth knowledge of open-source AI frameworks such as TensorFlow, PyTorch, Hugging Face, MLflow, Kubeflow, etc. Familiarity with containers and orchestration tools like Docker and Kubernetes Understanding of data governance, security, and compliance in AI projects Strong communication skills and a client-oriented mindset Excellent command of the English language, both spoken and written

This role, part of the Digital group, will be responsible for managing, execution and supporting multiple digital projects & initiatives to digitally transform the organization. - Will work closely with his Manager for driving the Digital & Analytics (Smart Manufacturing) roadmap. - Provide program management support for the Digital group in terms of project updates, budgeting, benefit realization and alignment to strategy. - Identification, ideation, conceptualization, analysis and execution of Digital opportunities across the value chain including smart manufacturing (Industry 4.0, IoT) & Advance Analytics (ML/AI), digital workplace & customer experience across all pillars and verticals. - Working closely with SMEs (management, plant staff, support functions etc.) to evangelize and elaborate digital transformation use cases and drive cultural change. - Work closely with vendors/strategic business partners for planning, executing & supporting Digital projects. - Actively research new trends and emerging technologies to see how they can bring business value. - Bring newer ways of working, agility and innovation in solutioning. - At least 3 years of industrial exposure in Smart Manufacturing (Industry 4.0) - i.e. IoT, data analytics, Cloud, MES, preferably in Manufacturing. - Experience of driving Analytics journey in manufacturing industry would be an advantage - Good Understanding & experience of Operation Technologies (OT systems) i.e. DCS, PLC, Sensors, various communication protocols, and IT-OT integration. - Hands-on Experience with the implementation of Analytics platform on Cloud / Hybrid cloud platforms like AWS, Azure, GCP - Basic understanding of Statistics, Mathematical Modeling, Python, Spark & Hadoop ecosystem, SQL, Digital Twin, Machine Learning, Deep Learning, Optimisation coupled with strong business sense would be an advantage. - Well versed with data handling techniques - Data cleansing and feature scaling. - Ability to transform proof of concept machine learning models into scalable production-ready solutions. - Work in an agile and iterative manner on solving problems. and quickly implement solutions. - Agility to learn and develop in-depth understanding of the business processes and linking the same for business insights through data analytics. - Basic knowledge of project planning, executing, controlling and closing. - Experience in managing big scale analytics deployment projects in a fast paced environment - Excellent written/oral communication skills, especially for explaining complex data analytics concepts to non-technical stakeholders. - Ability to assist in multiple projects simultaneously / multi-task - Detail-oriented, self-motivated and highly organized with good problem-solving skills

Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Experience : 3 to 6 years Immediate Joiners Preferred Skill set: Chat Bot / Full Stack Developer Domain knowledge: Chat Bot / Full Stack Developer Preferred Skills (Extra Advantage) Experience in chatbot development using RAGs, frameworks like Dialogflow, or similar Understanding of AI/ML integration in applications. Familiarity with CI/CD pipelines and DevOps practices. Job Description: Key Responsibilities: Design, develop, and maintain robust, scalable full-stack applications. Write clean, efficient, and well-documented code using JavaScript and Python. Develop and manage APIs for seamless integration with front-end and third-party services. Collaborate with cross-functional teams to define, design, and deliver new features. Deploy, manage, and monitor applications on cloud platforms (preferably GCP or Azure). Troubleshoot, debug, and upgrade existing applications to ensure optimal performance. Required Skills: Strong proficiency in JavaScript and Python. Hands-on experience with API development and integration (RESTful or GraphQL). Solid understanding of front-end technologies such as HTML, CSS, and modern JavaScript frameworks (e.g., React, Angular, or Vue.js). Proficient in working with databases (SQL and NoSQL). Experience with any cloud platform, preferably Google Cloud Platform (GCP) or Microsoft Azure. Knowledge of version control systems like Git. Interested Candidates Kindly drop your Cv's to parthiban.gunasekaran@gbitinc.com

Who are we? We are a leading holistic wellness company, offering personalized healthcare programs to help individuals achieve optimal well-being. Our dedicated team addresses both physical and emotional health, supporting clients in their wellness journeys with empathy and professionalism. We are looking for a hands-on, process-oriented Project Lead to manage our core Operations Tech systems and emerging AI initiatives. This role will act as the execution backbone for critical internal platforms used by our wellness and operations teams, while also enabling our early AI-led automation efforts. Role & responsibilities Lead end-to-end delivery of our internal Ops system in coordination with Human Fractal and internal stakeholders Translate business needs into sprint plans, feature specs, and dev tasks Coordinate execution across AI interns, tech vendors, and internal users Track timelines, ensure quality testing, and manage internal UAT cycles Maintain a clean, documented roadmap with release notes and follow-ups Prioritize tasks based on business impact and user feedback Own early-stage AI use cases (e.g., LLM-based tools, automation pipelines) and ensure smooth integration into workflows Raise risks, unblock delays, and work closely with the CTO for strategy execution Preferred candidate profile 4-6 years of experience in technical project or product delivery Strong familiarity with internal platform development or ERP/CRM systems Ability to work cross-functionally with business, ops, and tech teams Comfort working with technical concepts like APIs, data flows, and user permissions High ownership and clarity in documentation, testing, and release cycles Strong analytical and communication skills to prioritize and make decisions Experience working with external dev agencies or vendors Exposure to AI/ML projects (even as a coordinator or product stakeholder) Experience in healthtech, wellness, or operational-heavy industries Familiarity with project management tools such as Jira

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps. Requirement- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. E xperience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Interested candidates share your CV at himani.girnar@alikethoughts.com with below details Candidate's name- Email and Alternate Email ID- Contact and Alternate Contact no- Total exp- Relevant experience- Current Org- Notice period- CCTC- ECTC- Current Location- Preferred Location- Pancard No-

Position Name - AI Engineer Client Automation & Agent Development Responsibilities: • Design and deploy AI agents and workflow automations using low-/no-code platforms (Krista, Hatz.ai, UiPath Apps, Zapier, Microsoft Copilot Studio). • Conduct AI readiness workshops, map business processes, and define automation ROI. • Integrate with SaaS tools (Microsoft 365, Slack, CRMs, ERPs, PSA/RMMs) using APIs/webhooks. • Apply LLM techniques (prompt chaining, RAG, tool calling) with secure, scalable design. • Monitor performance, drive adoption, and iterate based on telemetry and feedback. • Ensure SOC 2, HIPAA/PCI/GDPR compliance and partner with Cybersecurity teams. • Maintain documentation, reusable templates, and lead enablement sessions. Client Discovery & Solutioning • Run AI readiness workshops, map current processes, and quantify automation ROI. • Translate business requirements into technical agent designs. Agent & Automation Development • Build and connect conversational and task-oriented agents in Krista, Hatz.AI, or comparable tools. • Integrate with SaaS apps (M365, Slack, PSA/RMM platforms, CRMs, ERPs) via APIs and webhooks. • Implement datagovernance guardrails, prompt engineering best practices, and observability. MLOps & Continuous Improvement • Configure evaluation pipelines, drift monitoring, and automated retraining triggers. • Analyze usage telemetry and feedback; iterate to maximize adoption and business impact. Security & Compliance • Enforce SOC 2 Type II and HIPAA/PCI/DataPrivacy controls across all AI workflows. • Perform threat modeling and collaborate with our Cybersecurity team on secure architectures. Thought Leadership & Enablement • Document reusable patterns, templates, and playbooks. • Mentor internal engineers and present at client webinars, peer groups, and industry events. Skills, Knowledge, and Experience: • 3+ years in AI/ML, RPA, or workflow automation in production settings. • Hands-on with at least one low-code AI platform (Krista, Hatz.ai, UiPath, etc.). • Proficient in Python or JavaScript for API integration and custom middleware. • Strong understanding of LLM pipelines, security guardrails, and data governance. • Excellent English communication skills; consulting and stakeholder engagement. • 4+ hour overlap with U.S. Eastern Time (for remote India-based roles). Preferred Skills and Qualifications: • Experience in MSP, ITSM, or SMB IT environments. • Familiarity with Krista DSL, Hatz.ai Studio, LangChain, or Semantic Kernel. • Past AI deployments in domains like Sales, HR, Marketing, or Finance. • Certifications: Microsoft AI-102, UiPath Developer, CompTIA Data+. Industry: Information Technology / Managed Services Employment Type: Full-Time Benefit: Industry leading Compensation + Performance Bonus +HR Benefits.

Job description Company Description Apexon is a digital-first technology services firm, specializing in accelerating business transformation and delivering human-centric digital experiences. With over 27 years of experience, Apexon helps clients outperform their competition through speed and innovation. The company focuses on User Experience (UI/UX, Commerce), Engineering (QE/Automation, Cloud, Product/Platform), and Data (Foundation, Analytics, AI/ML) services with deep expertise in BFSI, healthcare, and life sciences . Role Description This is for Trainee Associate role at Apexon, Ahmedabad. The Trainee Associate will be responsible for performing data annotation, auditing & providing insights to support improving accuracy. The role also includes generating reports, identifying areas for improvement and collaborating with cross-functional teams. Qualification: Any UG/PG graduate (2019 to 2024 Passed Out) Basic Computer Knowledge Strong analytical thinking and problem-solving skills Experience: 0-6 months Preferred Location: Ahmedabad Mode of Work: Work From Office Joining Preference: Immediate Joiners Mode of interview: Face to Face

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Assistant Vice President - Procure to Pay- GPO In this role, GPO lead is responsible for directing and executing GPO roadmap that solves the business problems/opportunities of the key customer(s) in the F&A domain through the usage of methodologies like Lean, Six Sigma, Business process re-engineering, and by combining technology solutions like Automation Anywhere, Blue Prism, etc. In this role, you would be responsible for the effective delivery of planned Digital projects, RPA bots, AIML projects and Six Sigma projects working with cross-functional global leads including the digital delivery team, and client leadership successfully. This role may involve directly managing the account or reporting to an account manager, but the responsibility of planning and delivering the GPO strategy would be with the lead role. Responsibilities . Thorough Continuous Improvement, delivery on committed productivity, productivity improvement in account and Bad Bench reduction . Champion the implementation and adoption of standard Global Processes . Support and deliver operational excellence and automation and implement best practices and drive efficiency and standardization as approved by . Assess new Laws, policies and practices, organization changes and the impact on the Global Processes and communicate such changes and impact to client . Lead and be responsible for all trainings and knowledge transfer relating to the GPO Services . Create Transformation Road Map and deliver projects aligned with client . Deploy RPA, Macros, Visualizations dashboards and Lean Six sigma, COE projects for mitigating process issues and improving Operational efficiencies identified across towers . Design, implement, test and complete all In-Scope CI Projects . Engage and leverage lean six sigma practices and processes . Support Operations to meet key transformation objectives of client and deliver required business value, productivity . Identify and log Issues and Incidents, perform Root Cause Analysis and determine root causes that are leading to Issues recommend process and System improvements and resolve Issues and Incidents . Manage client relationship and deliver transformation roadmap. . Lead large teams for transformation resources to deliver program. . Drive deployment of AIML tools in operations to improve process performance, metric improvement and deliver business value. Qualifications we seek in you! Minimum Qualifications . Experience in Oracle Fusion, Tririga, SAP, S4Hana, Service Now etc. or similar technology and technology deployments . Experience in driving RPA program and deploying RPA across platforms . Extensive experience in Procure to Pay domain, should have lead transformation across all sub-processes like Account Payable, Payments etc. . Experience in driving continuous improvement using Lean, Six Sigma Methodology . Experience in managing client discussion and driving large transformation programs . Experience in deploying AIML or Generative Ai solution and driving analytics programs . Project Management skills - Strong Influencing skills and clarity of thought on effective project management are required . People Leadership: Ability to coach & mentor people. Ability to effectively influence & motivate others and Ability to work in diverse teams and with multiple stakeholders . Delivers oral and written communications that have clarity and impact . Creates a team environment of accountability and commitment for reaching project goals . Must be able to work in dynamic and tight deadlines to meet the project schedule . Exposure to business metric improvement initiatives like close optimization . Understanding of Defining SLA/KPI and linking it to business metrics . Experienced Process improvement and Automation expert with domain exposure in F&A Preferred Qualifications/ Skills . Lean Six Sigma- GB / BB certification . Exposure to AIML certification would be added advantage . Tenured experience leading transformation 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. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore 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, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, 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 Assistant Vice President - Record to Report- GPO In this role, GPO lead is responsible for directing and executing GPO roadmap that solves the business problems/opportunities of the key customer(s) in the F&A domain through the usage of methodologies like Lean, Six Sigma, Business process re-engineering, and by combining technology solutions like Automation Anywhere, Blue Prism, etc. In this role, you would be responsible for the effective delivery of planned Digital projects, RPA bots, AIML projects and Six Sigma projects working with cross-functional global leads including the digital delivery team, and client leadership successfully. This role may involve directly managing the account or reporting to an account manager, but the responsibility of planning and delivering the GPO strategy would be with the lead role. Responsibilities . Thorough Continuous Improvement, delivery on committed productivity, productivity improvement in account and Bad Bench reduction . Champion the implementation and adoption of standard Global Processes . Support and deliver operational excellence and automation and implement best practices and drive efficiency and standardization as approved by . Assess new Laws, policies and practices, organization changes and the impact on the Global Processes and communicate such changes and impact to client . Lead and be responsible for all trainings and knowledge transfer relating to the GPO Services . Create Transformation Road Map and deliver projects aligned with client . Deploy RPA, Macros, Visualizations dashboards and Lean Six sigma, COE projects for mitigating process issues and improving Operational efficiencies identified across towers . Design, implement, test and complete all In-Scope CI Projects . Engage and leverage lean six sigma practices and processes . Support Operations to meet key transformation objectives of client and deliver required business value, productivity . Identify and log Issues and Incidents, perform Root Cause Analysis and determine root causes that are leading to Issues recommend process and System improvements and resolve Issues and Incidents . Manage client relationships and deliver transformation roadmap . Lead large teams for transformation resources to deliver program . Drive deployment of AIML tools in operations to improve process performance, metric improvement and deliver business value Qualifications we seek in you! Minimum Qualifications . Experience in Oracle Fusion, Tririga, Blackline, Service Now etc. or similar technology and technology deployments . Experience in driving RPA program and deploying RPA across platforms . Extensive experience in the Record to Report domain should have led transformation across all sub-processes like Manual Journals, Fixed Asset, Reconciliation etc. . Experience in driving continuous improvement using Lean, Six Sigma Methodology . Experience in managing client discussion and driving large transformation programs . Experience in deploying AIML or Generative AI solution and driving analytics programs . Project Management skills -Strong Influencing skills and clarity of thought on effective project management are required . People Leadership: Ability to coach & mentor people. Ability to effectively influence & motivate others and Ability to work in diverse teams and with multiple stakeholders . Delivers oral and written communications that have clarity and impact . Creates a team environment of accountability and commitment for reaching project goals . Must be able to work in dynamic and tight deadlines to meet the project schedule . Exposure to business metric improvement initiatives like close optimization . Understanding of Defining SLA/KPI and linking it to business metrics . Experienced Process improvement and Automation expert with domain exposure in F&A Preferred Qualifications/ Skills . Lean Six Sigma- GB / BB certification . Exposure to AIML certification would be added advantage . Tenured experience leading transformation Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . 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 tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.