525 Generative Ai Jobs - Page 6

Job Overview: We are seeking a highly skilled and dynamic Automation Engineer to lead the automation of MIS reporting dashboards and the integration of Generative AI (Gen AI) agents across key organizational workflows. This role blends technical automation with innovative AI integration to enhance business intelligence, customer support, product quality testing, and internal process efficiency. Key Responsibilities: 1. Automation of MIS Reporting & Dashboards: Design, automate, and maintain MIS reporting processes to enhance decision-making. Build real-time automated dashboards across departments using integrated data sources. Consolidate data from databases, CRMs, ERPs, and other systems into streamlined reporting pipelines. Ensure data consistency, accuracy, and integrity in all dashboards and reports. Work with business stakeholders to close reporting gaps and inefficiencies . 2. Development & Integration of Gen AI Agents: Develop and deploy Generative AI agents to automate product workflows, support functions, and quality testing. Build AI-driven solutions for handling customer support inquiries , reducing manual workload. Integrate AI-based testing bots into CI/CD pipelines to ensure automated product quality assurance. Collaborate with product teams to identify opportunities for AI-driven automation across the organization. Continuously improve the performance and effectiveness of Gen AI agents based on feedback and business goals. 3. Cross-Team Collaboration: Work closely with data engineers , analysts , and business teams to align reporting and automation outputs with organizational needs. Collaborate with product managers , developers, and AI experts to embed AI into operational workflows. Act as a subject matter expert on automation tools and Generative AI applications. 4. Continuous Improvement & Optimization: Stay informed about the latest AI and automation technologies and industry trends. Identify improvement areas in current workflows and propose scalable automation solutions. Ensure performance, scalability, and cost-efficiency of all automation efforts. Required Skills & Qualifications: Technical Expertise: Automation Tools: Strong proficiency in automation frameworks for data extraction, transformation, and dashboard/report generation. AI/ML Knowledge: Deep understanding of Generative AI , machine learning algorithms , and related frameworks. Cloud & Databases: Hands-on experience with cloud platforms (AWS, GCP, Azure), SQL/NoSQL databases , and data warehouses. System Integration: Experience with API integrations , microservices , and automated workflow tools. Workflow Automation: Familiarity with tools like RPA , chatbots , and AI-based task automation. Soft Skills: Analytical Thinking: Excellent problem-solving abilities for complex automation and AI integration tasks. Communication: Strong verbal and written communication; able to convey technical topics to non-technical teams. Project Management: Ability to handle multiple projects, set priorities, and meet deadlines without compromising on quality. Adaptability: Self-driven learner comfortable with emerging tools and changing tech environments. Preferred Experience: Proven success in automating reporting systems and dashboards, ideally in a B2B SaaS or tech environment . Practical experience with Gen AI agent development and integration in customer support , QA , or workflow automation . Demonstrated ability to design scalable automation solutions in a cloud-first environment . Experience working with large datasets and data processing pipelines.

About the Role A key enabler of our services is leveraging data in delivering client solutions. As customer datasets grow richer and business challenges become more complex, ZS's Advanced Data Science function plays a central role in developing and delivering innovative solutions. This team focuses on: Researching evolving datasets and advanced analytical techniques to develop new offerings/solutions Delivering measurable client impact by implementing these solutions Providing thought leadership by shaping ZS's point of view in the data science space What You'll Do Lead and mentor a team of data scientists, ensuring delivery excellence across client engagements Design and implement advanced data science strategies that align with organizational goals Apply statistical, algorithmic, and visualization techniques to model complex business problems and uncover insights Drive business and strategy development through project delivery and client relationship management Develop and sell new business opportunities through data science-based solutions Oversee multiple projects, managing timelines, deliverables, and team performance Play a key role in developing scalable data science capabilities and reusable analytic platforms Motivate and coach team members; serve as a role model in fostering collaboration and continuous learning Contribute to thought leadership through research, publication, and innovation initiatives What You'll Bring PhD in Computer Science, Statistics, or a related field preferred (10+ years experience required in lieu of PhD) 8+ years of relevant work experience in data science, analytics, or AI Strong expertise in advanced analytics techniques such as predictive modeling, NLP, Gen AI, recommender systems, and social listening Hands-on experience with big data technologies and platforms (e.g., AWS, Azure) Proficiency in Python or R for statistical programming Experience managing agile projects and data science delivery across cross-functional teams Strong business acumen and a proven track record of developing client relationships and business development Previous experience in healthcare, pharma, or life sciences domains preferred Excellent communication skillsboth verbal and writtenwith the ability to present complex ideas to senior stakeholders A detail-oriented, research-driven mindset with strong critical thinking and problem-solving capabilities

KEY ACCOUNTABILITIES Drive projects along Supply Chain business processes; deep knowledge and working experience into Sourcing and External Supply Chain Management Serve as the technical SME on technology for GMI Supply Chain teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. Work as an SME to define project requirements in collaboration with internal business clients/users; Establish best in industry practices for sourcing tools and eliminate gaps via partnership with D&T architects; communicate throughout the entire development process. Partner in developing new capabilities that leverage the Cloud /SAAS platforms. Work with a leadership mindset to own Sourcing / External Supply Chain Management processes Use external perspective and internal relationships to improve how we work and what we deliver keep abreast of what is happening within the Digital sourcing space. MINIMUM QUALIFICATIONS Education Full time graduation from an accredited university. Full time Bachelor s/master s degree in computer science/electronics, or any equivalent relevant discipline is preferred (Mandatory- Note: This is the minimum education criteria which cannot be altered) 10+ years of strong technical experience with Web based/ Cloud & Database technologies 5+ years of as Functional and Technical Analyst in requirements gathering, implementing, supporting IT /software solution. Strong Functional knowledge of Sourcing / Supply Chain processes especially in Global CPG/ FMCG industry Strong working knowledge of various Sourcing/ Procurement related tools & platforms, preferably SAP, Coupa, GCP Working knowledge of Generative AI/Intelligent Automation in Sourcing / Contract insights Strong verbal and written communication skills Solution oriented mindset with strong problem-solving & analytical skills Experience of leading & driving technical projects or teams PREFERRED QUALIFICATIONS Recent Hands-on experience with Supply Chain /ESC External Supply Chain Procurement/Finance transformation tools, platforms, process etc. Experience with real time system/data integrations, ETL & reporting technologies Excellent stakeholder management skills including leadership & vendors. Team player, self-driven individual. Ability to deal with ambiguous ask & situations Strong knowledge/Experience of SDLC with an Agile/SCRUM delivery experience Expert: SQL , ETL tech, Sourcing / External Supply Chain Processes, Problem Solving Intermediate: Data Lake / Warehousing, Analytical / Data Skills, Generative AI /Intelligent Automation, GCP-Bigquery Basic: Cloud, Tableau / Google Data Studio, SAP MM, DevOps CI/CD

Role & responsibilities Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Preferred candidate profile Bachelor's or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382 supriya @mounttalent.com

Role & responsibilities Job location : - Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad Participate in visioning workshop & develop innovative AI strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to AI & Analytics solutions! Develop target strategy with respect to AI & GEN AI needs along with Key initiatives & roadmap. Who are we looking for? Years of Experience: Candidates should typically have at least 5-8 years of experience in AI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing AI strategies for clients across various industries Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : (GenAI is must) Language : Python , PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python. - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : - Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : - Should be able to analyze and manipulate large data sets. - The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : - Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Job Title: Generative AI Engineer Location: Bangalore or Hyderabad Experience Required: 35 years (with 12 years in Generative AI/LLMs) Employment Type: Full-Time About the Role We are looking for a passionate and experienced Generative AI Engineer to join our AI/ML team. In this role, you will work with technologies like OpenAI, LLaMA, and Databricks-hosted models to design, build, and deploy real-world GenAI solutions. You’ll be involved in everything from feeding data into models, improving their performance, to integrating them into live products. Key Responsibilities Develop and deploy LLM-based solutions using GPT, LLaMA, or fine-tuned models Manage end-to-end GenAI projects from proof of concept to production Build scalable data pipelines for LLM training and inference Optimize model performance using prompt engineering, fine-tuning, DeepSpeed, and other techniques Host and manage models on Databricks and integrate them with data platforms Collaborate with data scientists, MLOps, and product teams to ensure AI solutions meet business goals Continuously enhance the performance, scalability, and usability of LLM-based systems Required Skills 3–5 years of engineering experience, with 1–2 years in Generative AI or LLMs Strong Python skills and experience with AI/ML frameworks Hands-on experience with OpenAI APIs, LLaMA models, LangChain, DeepSpeed Experience working with Databricks (Unity Catalog, MLflow) and AWS services (S3, EC2, Lambda) Good understanding of LLM architecture and model optimization techniques Proven track record in deploying real-world GenAI applications

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 Principal Consultant , Generative AI + Agentic AI ! In this role, we are seeking a highly skilled and experienced AI Engineer with hands-on expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface , Agentic AI, and Advanced Data Pipelines . It%27s platforms semantic kernel, autogen , langchain . Responsibilities Architect and implement advanced generative AI models, focusing on applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives . Firm grasp on tools to compare outputs of each model and compare against each other. Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives . Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements. Qualifications we seek in you! Minimum Q ualifications / Skills B achelor&rsquos or M aster&rsquos degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch . Experience with Azure OpenAI, Open Source LLMs, and LangChain . Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Preferred Q ualifications / Skills Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Familiarity with NLP or computer vision related to generative AI applications. 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 Follow us on X , 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 .

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 Principal Consultant - Generative AI In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications. Responsibilities . experience in Cloud & Generative AI . Hands-on knowledge in Large Language Models from OpenAI, Meta, Google, Hugging Face etc. - demonstrate ability to implement solutions leveraging LLMs . Working knowledge of generative models, prompt engineering, fine-tuning - to implement innovative AI use cases . Collaborate with the architect to develop prototypes, conduct PoCs . Collaborate with service line teams to design, implement and manage Gen-AI solutions . Define and document best practices and strategies regarding deployment and infrastructure maintenance . Good understanding of AWS/Azure primarily focus on AI ecosystems such as Elasticsearch, Azure OpenAI/Cognitive services . Ability to write robust code in Python Java, React, RDBMS (Postgres) - Transactional and Analytical databases . (More than 1 language including Python is preferred) . Experience with Docker and Kubernetes . Experience with Agile Development. Qualifications we seek in you! Minimum Qualifications / Skills . BE/B.TECH . Strong understanding of generative AI models and algorithms. . Proficiency in at least one Generative AI Model (OpenAI ChatGPT, llama, Claude 2, etc.). Preferred Qualifications/ Skills . Self-starter . Highly motivated/passionate for new technologies, engineering mindset . Strong teamwork, problem-solving, and analytical skills . Good communication 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. Get to know us at www.genpact.com and on X, 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.

Job Title: AI & ML Trainer (With Expertise in Generative AI & Content Creation) Location: On Site- Bangalore Job Type: Full-time Experience Level: 5+ years in AI/ML training and content development About Us MAA Academy is dedicated to upskilling professionals in cutting-edge AI & ML technologies. We believe in empowering individuals with practical, real-world knowledge and enabling them to harness AIs full potential. As we expand our offerings, we are looking for a passionate AI & ML Trainer who can design, create, and deliver impactful learning experiences in AI, ML, and Generative AI. Role Overview We are seeking an experienced and highly passionate AI & ML Trainer who is well-versed in Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have a strong technical background, a passion for teaching and upskilling professionals and students, and the ability to design structured training programs. This role involves creating engaging course content, conducting hands-on training, and mentoring learners to enhance their AI & ML expertise. Educational Qualifications: Mandatory: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical fields. Preferred: Ph.D. or ongoing doctoral work in AI/ML or Data Science (especially if teaching at university level). Certifications from reputed institutions in: Machine Learning (e.g., Andrew Ngs ML course Stanford/Coursera) Deep Learning Specialization Gen AI (e.g., Prompt Engineering, GPT usage, etc.) Cloud ML Platforms (e.g., AWS ML Specialty, Google Cloud AI Engineer) Key Responsibilities 1. Training & Facilitation Deliver high-quality AI & ML training sessions (live/recorded) to professionals, and students. Conduct hands-on coding sessions using Python, TensorFlow, PyTorch, and other ML frameworks. Guide learners in building real-world AI applications and ML models. Provide one-on-one mentorship to resolve technical doubts and support learning progress. 2. Content Development & Course Design Design structured AI & ML learning programs aligned with industry trends. Develop engaging learning materials, including presentations, coding exercises, quizzes, and projects. Create video content, tutorials, and blogs on AI, ML, and Generative AI concepts. Keep course content up to date with the latest advancements in AI, including LLMs, Transformers, Diffusion Models, and AI Agents. 3. Generative AI & Advanced Technologies Teach concepts related to Generative AI (ChatGPT, DALL•E, Midjourney, Stable Diffusion, etc.). Guide learners in building AI-powered applications using APIs from OpenAI, Hugging Face, and other AI providers. Explain AI ethics, biases, and responsible AI to ensure learners apply AI solutions ethically. 4. Engagement & Professional Development Foster an interactive and engaging learning environment. Organize webinars, hackathons, and AI challenges for learners. Stay updated with emerging AI research and incorporate the latest developments into training. 5. Industry & Project-Based Learning Develop capstone projects that mirror real-world AI problems. Help learners build portfolio-worthy AI projects for career growth. Collaborate with industry partners to bring case studies and real AI applications into learning. Required Skills & Qualifications Technical Expertise Strong proficiency in Machine Learning, Deep Learning, and AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Hands-on experience with Generative AI models (GPT, Stable Diffusion, BERT, LLaMA, etc.). Familiarity with ML Ops, AI Deployment, and Cloud Platforms (AWS, GCP, Azure). Strong programming skills in Python (NumPy, Pandas, OpenCV, Hugging Face, LangChain, etc.). Knowledge of AI Ethics, Explainable AI (XAI), and Bias Mitigation Techniques. Training & Content Development Proven experience in designing and delivering AI/ML training programs. Ability to create high-quality AI learning content (videos, courses, assignments, projects). Experience with LMS platforms, e-learning tools, and AI-powered course creation tools. Passion for Upskilling & Teaching Strong communication and presentation skills. A growth mindset and commitment to mentoring professionals. Ability to simplify complex AI concepts for different learner levels. Preferred Qualifications (Nice-to-Have) Industry experience in AI/ML-based projects. Certifications in AI/ML (Google TensorFlow Developer, AWS ML, etc.). Experience with AI Agent frameworks, RAG models, and AI-driven automation. Familiarity with AI & ML applications in Finance, Healthcare, Retail, etc. What We Offer Opportunity to work with a cutting-edge AI learning platform. Access to the latest AI/ML research & industry collaborations. Remote-friendly work environment (if applicable). A passionate and collaborative team focused on upskilling the next-gen AI workforce. How to Apply If you are excited about teaching, AI innovation, and upskilling professionals, wed love to hear from you! Send your resume and a short cover letter to Sharmila@maa.co.in Join us in shaping the future of AI education!

Key Responsibilities Design and deploy Large Language Model (LLM)-based applications and GenAI systems. Work closely with internal teams and client stakeholders to gather requirements and deliver scalable AI solutions. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines. Build, test, and deploy APIs and services that bring AI capabilities into business platforms. Perform model optimization, evaluation, and prompt engineering. Mentor junior team members and review technical deliverables. Ensure security, compliance, and ethical usage of AI models in regulated domains. Collaborate with product, design, and engineering teams to shape AI solutions for enterprise clients. Technical Requirements Must-Have Skills 7-10 years of overall experience in AI/ML, with 2-3 years in Generative AI and LLMs. Strong coding skills in Python; familiarity with PyTorch, TensorFlow, or JAX. Experience with: HuggingFace Transformers, LangChain, and OpenAI/Cohere/Claude APIs. Prompt engineering, fine-tuning, and custom embeddings. Proficiency in developing and deploying APIs using FastAPI or Flask. Experience with Docker and containerized deployment. Cloud exposure: Azure, AWS, or GCP, especially ML services like SageMaker, Vertex AI, or Azure ML. Nice-to-Have Skills Experience with vector databases (FAISS, Pinecone, Weaviate). Knowledge of MLOps pipelines and CI/CD for ML workflows. Understanding of responsible AI practices, hallucination reduction, and bias detection. Previous work experience in finance, audit, regulatory, or consulting sectors. Additional Information Leadership in AI project delivery and solution design. Excellent communication and stakeholder engagement skills. Team player with mentoring abilities and technical decision-making confidence. Adaptability to dynamic project requirements and regulatory constraints. Excellent communication and interpersonal skills. Strong problem-solving and debugging skills. Proactive in delivering quality work within deadlines.

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

Our client is a global aviation powerhouse and one of the most recognized names in the airline industry. As a marquee player in the aviation space, the company is undergoing a bold digital transformationreimagining its operations, customer experience, and business strategy through the lens of data, AI, and cloud innovation. From predictive maintenance and personalized travel experiences to dynamic pricing and intelligent crew scheduling, data is at the core of every strategic initiative. We are seeking to identify a senior technology leader to spearhead the companys Data and AI Engineering of a high-impact global team that supports critical digital and operational functions across the enterprise. This role will be responsible for technology and team leadership to a cross-functional group of engineers and data scientists, partnering with global stakeholders across Digital Technology, Operations, Commercial, and corporate functions. The Job Provide leadership for high-impact data and machine learning engineering programs across global business functions. Drive development and management of scalable data platforms, pipelines, and AI/ML solutions supporting key enterprise priorities. Guide cross-functional teams in requirement gathering, architecture design, deployment, and change management. Manage a growing team of data and AI professionals and foster a culture of innovation and excellence. Represent the Data & AI Engineering team in global forums and leadership presentations. Your Profile A Bachelors degree in Computer Science, Engineering, or related fields (Master’s preferred). 18+ years of overall experience and 10+ years of digital and data technology experience, with at least 5 years in cloud-based data or AI systems. Expertise in data engineering, database management, and machine learning lifecycle with tools such as SQL, Python, Redshift, AWS Sagemaker, and LLMs. Deep understanding of cloud-native data platforms and modern ML/GenAI applications. Demonstrated ability to manage large-scale technical teams and mentor top talent. Experience in working with global teams and cross-cultural collaboration. Strong communication and stakeholder management skills. Passion for leveraging data and AI to solve complex business challenges and deliver measurable impact. This role is an ideal opportunity to be a part of a global transformation journey for one of the world’s most reputed service companies that relies on data as the core of its excellence and to work with best-in-class technologies and digital platforms across AI, cloud, and enterprise data.

We are looking for a Software Developer - SQL Youll make a difference by: We're seeking a skilled Software Developer with strong database expertise to join our diverse team. The ideal candidate will have extensive experience in SQL development, database design, and optimization, combined with proficiency in modern application development. You'll play a key part in designing and implementing database solutions while developing and maintaining robust applications. We're looking for someone who excels in SQL and relational database management (particularly Oracle DB), supported by strong knowledge of Java, Spring, Hibernate, Angular, and TypeScript. Experience with CICD principles and GitLab is essential for this role. Development: Design, optimize, and maintain complex SQL databases, including writing efficient queries, stored procedures, and database schemas. Develop and implement database solutions to improve performance, scalability, and data integrity. Create and optimize SQL queries for data analysis, reporting, and application integration. Develop new competitive functionalities and support the existing software solutions. Design client-side and server-side architecture. Implement elegant front-end user interfaces using Angular and TypeScript. Integrate back-end systems using Java, Spring, and Hibernate. Ensure database best practices and standards are followed across applications. Monitor and optimize database performance, including query tuning and index optimization. Understanding of Generative AI concepts and applications Knowledge of Large Language Models (LLMs) and Prompt Engineering Experience with data preprocessing and feature engineering Familiarity with the Linux Operating system. Collaboration: Work closely with other developers, product managers, and designers in an Agile environment. Proactively participate in code reviews. Provide mentorship and knowledge sharing within the team. Continuous Integration/Continuous Deployment (CICD): Use GitLab for effective version control, issue tracking, and CICD pipelines. Build and maintain CICD pipelines to automate testing, deployment, and monitoring processes. Youll win us over by: Technical Expertise: Bachelors degree in computer science or a related technical field, or equivalent experience. Strong expertise in SQL and database development, including complex query optimization, stored procedures, and database design. Advanced knowledge of Oracle DB or other relational databases, including performance tuning and administration. Experience implementing AI-powered features in production applications Knowledge of AI/ML model deployment and optimization Excellent Java knowledge with significant experience in Java programming. Excellent analytical skills and an understanding of data structures and algorithms. Experience with object-oriented software design and design patterns. Strong proficiency in Spring framework (Spring MVC) and Hibernate ORM. Proficient in Angular and TypeScript, with experience building responsive front ends. Working knowledge of RESTful API design and development Proven understanding of CICD practices and experience with GitLab. Ability to work independently or with a team in a multifaceted environment. General Qualities: Excellent problem-solving and analytical skills. Strong attention to detail. Passion for staying up to date with the latest web development technologies. Preferred Qualifications Experience with automated testing frameworks (e.g., JUnit, Selenium). Familiarity with agile methodologies like Scrum or Kanban.

About Client Hiring for One of the Most Prestigious Multinational Corporations Job Title: Generative AI Engineer Experience: 8 to 13 years Key Responsibilities : Research, design, and implement Generative AI solutions using foundation models like GPT, PaLM, Claude, or open-source LLMs (e.g., LLaMA, Falcon). Build and fine-tune custom models using Transfer Learning , RLHF , or LoRA for domain-specific applications. Develop intelligent applications using Natural Language Processing (NLP) , Computer Vision , or Multimodal AI . Apply data science techniques for feature engineering, model evaluation, and experimentation. Architect scalable ML pipelines using tools such as MLflow , Kubeflow , Vertex AI , SageMaker , or equivalent. Collaborate with cross-functional teams to understand business challenges and deliver GenAI-driven solutions. Ensure responsible AI practices by implementing explainability, bias detection, and governance mechanisms. Stay up to date with the latest research and trends in AI/ML, LLMs, and GenAI technologies. Technical Skills: Strong hands-on experience with core AWS services: EC2, S3, RDS, Lambda, IAM, VPC, CloudWatch, CloudTrail, ECS/EKS, etc. Expert in Infrastructure as Code (IaC) using Terraform , CloudFormation , or AWS CDK . Strong scripting and automation skills in Python , Bash , or Shell . Experience with containerization and orchestration tools ( Docker , Kubernetes /EKS). Solid understanding of networking, load balancing, and security concepts in the cloud. Experience with monitoring/logging tools like CloudWatch , Prometheus , Grafana , or ELK stack Knowledge of DevOps and CI/CD tools (Jenkins, GitLab CI, AWS CodePipeline, etc.). Familiarity with Agile/Scrum methodologies NOTE : Only immediate and 15 days joiners Notice period : Only immediate and 15 days joiners Location: Bangalore Mode of Work : WFO(Work From Office) Thanks & Regards, SWETHA Black and White Business Solutions Pvt.Ltd. Bangalore,Karnataka,INDIA. Contact Number:8067432433 rathy@blackwhite.in |www.blackwhite.in

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

We enable #HumanFirstDigital We are looking for an experienced and forward-thinking Automation Architect to define and lead the test automation strategy (in playwrite) across our technology stack, including Generative AI-based applications. he will work closely with engineering, product, and platform teams to build scalable, maintainable, and intelligent automation frameworks. This is a high-impact, strategic role where candidate will set automation standards, drive framework adoption, and architect solutions that enable quality at scale using , Playwright, and SDET best practices. Exposure to Java is a plus. Architect robust, scalable, and modular automation frameworks for UI, API, backend, and AI model testing. Build reusable libraries and utilities to test Generative AI applications, including prompt validation, snapshot testing, and output evaluation. Provide technical leadership and strategic direction across all test automation efforts. Drive shift-left testing, continuous testing, and test-driven development (TDD) practices. Define and implement automation architecture principles across multiple test layers - Unit, Integration, System, and E2E. Establish test governance, coding standards, and CI/CD integration pipelines to support fast, reliable, and automated feedback loops. WE DO NOT HAVE PLAYWRIGHT AS drop down in PRIMARY SKILL. SO PLEASE REFER JD. Our Commitment to Diversity & Inclusion: Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental Leaveo Learning & Career Development Employee Wellness Job Location : Ahmedabad, India

We are looking for a highly skilled Senior Software Engineer (SDET) who is passionate about automation, test engineering, and quality at scale. The ideal candidate will have hands-on experience in SDET practices, strong Python programming skills, expertise in Playwright for UI automation, and a working knowledge of Generative AI testing frameworks. Exposure to Java and modern CI/CD pipelines is a plus. You will work closely with developers, product managers, and DevOps to ensure the quality of our software products through robust automated testing strategies and performance validation. Design, develop, and maintain automation scripts using Playwright. Integrate automation tests with CI/CD pipelines (e.g., Jenkins, GitHub Actions, CircleCI). Collaborate with development and QA teams to drive a shift-left testing approach. Solid understanding of QA methodologies: Unit, Integration, E2E, Regression, Smoke, etc. WE DO NOT HAVE PLAYWRIGHT AS drop down in PRIMARY SKILL. SO PLEASE REFER JD. Our Commitment to Diversity & Inclusion: Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: oGroup Health Insurance covering family of 4 o Term Insurance and Accident Insurance o Paid Holidays & Earned Leaves o Paid Parental LeaveoLearning & Career Development o Employee Wellness Job Location : Ahmedabad, India

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

AI Architect will play a pivotal role in designing and implementing the technology architecture for AI use cases (including Large Language Model (LLM)) platform systems and solutions. As an AI architect, you will translate business roadmap into technical requirements and architecture. This role will apply natural language processing (NLP) and machine learning concepts and experiences implementing real time business use cases. You will architect large language models (LLMs) and design neural network parameters, leveraging corpus of unlabeled structured and unstructured data, to further enhance the model's capabilities. Responsibilities: . Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery. . Leverage, customize and implement available Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems. . Analyze and evaluate the performance of Gen AI systems and provide design recommendations. . Hands on implementation and troubleshooting supports of Gen AI solutions. . Estimate the effort, time and cost required for deploying an end-to-end solution using LLMs. . Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns. . Analyze and make right technological choices for generative ai solutions. . Design and prototype reusable components for LLM based solution patterns. . Architect components of an LLM solution to address Responsible AI & Security. . Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders. . Create and maintain comprehensive technical documentation that captures the intricate details of the technical architecture, language model, efficient troubleshooting, and future development and maintenance.

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 , 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 , 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 and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. 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.

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 , 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 , 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 and on , , , and . Inviting applications for the role of Vice President , Data Tech Solutions Architect ! In this role, we are seeking candidates who have deep technical knowledge and a strategic bent to leverage technology for better business outcomes for the Banking and Capital Markets vertical. The candidate must have detailed understanding of a modern Tech stack, hyperscale offerings, key digital technologies Generative AI, AI/ML, etc. Role will be part of the Global Banking and Capital Markets Solutions team, as the evangelist for Alliance Partner Technology, Data/ AI led transformation opportunities in all Solutions created for clients. The role will constantly identify solution gaps, understand emerging client needs and market trends, to create and own a mid to long term Data/ Tech solution roadmap. All of this will be done in close partnership with rest of Genpact ecosystem, i.e., Alliance Partners, Service Lines, Data and Tech Practices in order to deliver top notch solutions. Responsibilities Provide technical leadership to evaluate and adopt Data, Tech and AI solutions from Alliance Partners and Genpact offerings Run the solution management cadence, build and own a periodically refreshed roadmap of Data/ Tech new solutions identified and prioritized through Client and Sales feedback Aim for unified solutioning through consolidated business needs to avoid multiple design and build efforts Collaborate with Alliance Partners and internal teams to create a Tech driven PoV for all solutions, facilitating higher conversions with Clients Fully own first and second level solutioning, orchestrating initial conversations and engage more specialized Genpact teams and Alliance Partners for deeper solutioning Provide thought leadership to Lead Solution Architects on RFPs, with an objective to steer Tech and Data led transformation agenda Build and maintain a comprehensive tech stack view for priority clients to facilitate proactive engagements Create architectural artifacts for new solutions developed, and drive consistency to elevate the Tech quotient in Client engagements Qualifications we seek in you! Minimum Qualifications Bachelor%27s degree in Computer Science , Information Technology, or a related field. Relevant years of experience in IT architecture, with a focus on financial services. Technical Skills: The mandate for this role will be the same as rest of the Global Solutions team, to cover all geographies and to include all Banking and Capital Markets clients where we are responding to Request for Proposals or working on contract renewals or proactively stocking the shelf for targeted solutions. Requires strong organizational, technical and communication skills. Requires strong stakeholder management and ability to influence Proficiency in designing IT solutions. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience in Data Platforms, AI/ GenAI Solutions Experience in architecting and designing solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI. Must have a understanding of low-code/no-code environments and the ability to create scalable, secure and efficient solutions that align with business requirements and best practices. Familiarity with DevOps practices and tools. Knowledge of concept and principles of agile methodology ability to apply appropriate agile approaches in the processes of software development and delivery. The mandate for this role will be the same as rest of the Global Solutions team, to cover all geographies and to include all Banking and Capital Markets clients where we are responding to Request for Proposals or working on contract renewals or proactively stocking the shelf for targeted solutions. Requires strong organizational, technical and communication skills. Requires strong stakeholder management and ability to influence across multiple levels of leadership, while leveraging the different capabilities at Genpact to deliver maximum value for Clients. Must work well in a dynamic, complex environment and under deadline pressures. Preferred Qualifications/ Skills Consulting experience - demonstrated ability to convey value proposition, differentiators in a compelling manner to win new relationships/opportunities Transformation experience - demonstrated ability to design and execute operational transformation. Experience of running day to day operations would be an added advantage 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.