542 Generative Ai Jobs - Page 7

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.

JOB DESCRIPTION Title: Senior Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). ¢ Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Role & responsibilities ole Overview As an AI Voice & LLM Integration Developer, you will play a pivotal role in building and optimizing Your work will focus on: • Integrating GPT's ASR (speech-to-text) and TTS (text-to-speech) APIs into our platform. • Handling real-time voice streaming from VoIP/SIP systems. • Optimizing low-latency communication between AI models and telephony platforms (e.g., FreeSWITCH, WebRTC). • Supporting PBX call routing & handoWs with AI agents. • Ensuring high-quality, natural-sounding AI-driven voice interactions. Key Responsibilities Design and develop real-time voice processing pipelines for AI-driven conversations. • Integrate OpenAI's Whisper (ASR) and TTS APIs with VoIP and WebRTC systems. • Develop low-latency audio streaming middleware between telephony providers(Telnyx, Bandwidth) and GPT. • Work with SIP and WebRTC to ensure seamless audio transmission. • Implement PBX call routing and AI handoW mechanisms (e.g., transferring AI-handled calls to human agents). • Optimize AI voice latency and response times for a real-time, natural experience. • Collaborate with VoIP engineers to integrate AI capabilities into SIP-based systems. • Design APIs to manage AI-driven IVR workflows and customer interactions. • Ensure compliance with telephony regulations (e.g., STIR/SHAKEN, call recording laws). • Monitor system performance and implement scalability strategies for voice interactions. Required Qualifications AI & LLM Integration o Experience integrating GPT APIs (ChatGPT, Whisper, TTS engines) for voice applications. o Understanding of real-time AI voice processing and conversational AI workflows. Voice & Audio Streaming Experience working with low-latency, real-time audio streaming. o Familiarity with WebRTC, SIP/RTP, and VoIP streaming. Programming & Middleware Development Proficiency in Python, Node.js, or Go for API and middleware development. o Experience developing RESTful APIs and real-time streaming solutions. VoIP & Telephony Knowledge Familiarity with SIP, FreeSWITCH, Asterisk, or other PBX platforms. o Experience working with SIP trunking providers (Telnyx, Bandwidth, Flowroute, etc.). Performance & Optimization Ability to reduce latency in AI-driven conversations. o Experience with audio codec optimization (G.711, Opus, etc.). One or more of the following additional qualifications: Experience with STT/ASR models beyond GPT (Google Speech-to- Text, Deepgram, Kaldi). o Background in signal processing or audio engineering. o Familiarity with cloud-based voice solutions (AWS Connect, Twilio Voice, Dialogflow CX). o Knowledge of containerization (Docker, Kubernetes) for scaling AI voice workloads. o Experience with multi-tenant architectures for voice AI.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Amlgo Labs is Hiring | 2 Exciting Roles Available! Location: Gurugram (Hybrid) | Job Type: Full-Time Company Website: https://amlgolabs.com/ Position 1: Junior AI Engineer (Fresher LLMs & Generative AI Focus) Experience: 01 Year | Department: Artificial Intelligence / R&D About the Role: Join our cutting-edge AI team working on Large Language Models (LLMs), Generative AI, and automation solutions. Ideal for recent graduates passionate about machine learning, natural language processing, and prompt engineering. Key Responsibilities: Work with LLMs (e.g., OpenAI, Hugging Face) for development, fine-tuning, and integration Design effective prompts to optimize model performance Assist in deploying generative AI applications (text/code/image) Build Python-based AI/ML pipelines and evaluate models Collaborate with data teams for dataset management and preprocessing Monitor model behavior in production environments Document experiments, results, and technical workflows Required Qualifications: Bachelors in CS, Engineering, Data Science, or related field 01 year experience in AI/ML or relevant project work Proficiency in Python and libraries (NumPy, pandas, scikit-learn, matplotlib) Basic ML understanding and exposure to LLMs (GPT, LLaMA, etc.) Familiarity with Hugging Face, OpenAI API is a plus Awareness of ETL/data engineering practices Position 2: Full Stack Developer Experience: 0-1 Year | Department: Software Development About the Role: We are seeking a driven Full Stack Developer to build robust, scalable, and user-friendly web applications. You will work on both frontend and backend development, ensuring seamless performance from code to deployment. Key Responsibilities: Develop dynamic UIs using React.js, Next.js, TypeScript, Tailwind CSS, HTML/CSS Create backend services and RESTful APIs with Node.js and Python Work with MongoDB for NoSQL database management Manage deployments using Docker, VPS, Linux, and Nginx Collaborate cross-functionally to build high-quality solutions Conduct code reviews and continuously improve development practices Debug across various environments and optimize application performance Required Skills: Solid knowledge of JavaScript and TypeScript Experience in React.js, Next.js, Tailwind CSS, HTML, CSS Hands-on experience with Node.js and Python backend Familiarity with MongoDB and cloud/server deployments Understanding of RESTful API principles and modern dev tools Strong analytical and debugging skills About Us: Amlgo Labs is building the next generation of AI-driven solutions, with a focus on Large Language Models (LLMs), Generative AI, and intelligent automation. We're seeking curious and motivated individuals who want to work at the cutting edge of AI.

As a AI Developer specializing in Chatbots, you will be instrumental in designing, building, and deploying sophisticated conversational AI solutions. You will work across the entire AI lifecycle, from research and prototyping to production deployment and MLOps, with a particular focus on leveraging LLMs, RAG techniques, and agentic workflows to create intelligent and highly performant chatbots. Your expertise will directly contribute to enhancing customer interactions, automating processes, and delivering innovative AI-driven experiences. Key Responsibilities: Lead the design, development, and deployment of end-to-end AI solutions, with a significant emphasis on advanced chatbot systems, using LLMs (e.g., Llama-3, OpenAI, Gemini), LangChain, and LangGraph. Architect and implement sophisticated agentic AI workflows to enable multi-step reasoning, tool utilization, and autonomous task execution for complex business processes within chatbot applications. Develop and optimize scalable Retrieval-Augmented Generation (RAG) pipelines for real-time, context-rich information retrieval in conversational AI, utilizing vector databases like FAISS, Weaviate, and Pinecone. Build and containerize robust backend services for AI applications and chatbots using frameworks like FastAPI and Docker, ensuring seamless deployment on cloud platforms (AWS/GCP) through CI/CD pipelines. Integrate and manage comprehensive MLOps workflows for model versioning, performance monitoring, automated retraining, and continuous integration/continuous deployment (CI/CD) specifically for chatbot models (e.g., using MLflow, Airflow, Kubeflow). Fine-tune and optimize pre-trained LLMs and deep learning models (e.g., BERT, LSTM) for domain-specific text generation, sentiment analysis, text classification, Named Entity Recognition (NER), and contextual intent detection in chatbot contexts. Collaborate with cross-functional teams (product managers, UI/UX designers, data engineers) to translate business requirements into technical specifications for AI-driven features and chatbot functionalities. Stay abreast of the latest advancements in AI, NLP, LLMs, and conversational AI, continuously evaluating and implementing new technologies to improve our solutions. Mentor junior developers and contribute to best practices in AI development and MLOps. Perks and benefits: PF Insurance Contact Details: Deepanshi Jain (HR): 9717632996

SDE - 2 (Python + GenAI) Experience: 3 - 5 Years Exp Salary : INR 25-30 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : AWS, Python, microservices, Restful APIs, Generative AI, Django Good to have skills : AI/ML, E-Commerce, Fintech, open-source, FastAPI Lyzr (One of Uplers' Clients) is Looking for: SDE - 2 (Python + GenAI) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What Youll Do Own development of scalable backend systems for production-grade applications Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Design and implement RESTful APIs, microservices, and data models Own payment gateway integrations (e.g., Razorpay, Stripe, etc.) and ensure secure, seamless transactions Architect and deploy backend solutions across cloud platforms (AWS, GCP, etc.) Build and maintain resilient infrastructure to support high-traffic applications Collaborate with frontend, DevOps, and product teams to ship end-to-end features Optimize systems for performance, reliability, and scalability Drive code quality, system security, and architectural best practices What Were Looking For 35 years of experience in backend development with end-to-end ownership of feature delivery Proficiency in Python Strong knowledge of relational and non-relational databases Proven experience with payment gateway integration and order processing systems Experience designing scalable systems and working with event-driven or distributed architectures Familiarity with Docker, Kubernetes, CI/CD pipelines, and monitoring tools Ability to translate business needs into robust technical solutions Excellent debugging, communication, and collaboration skills Nice to Have Experience working in start-ups or fast-paced product teams Exposure to AI/ML-based systems or microservice architectures Prior experience in fintech or e-commerce platforms Contributions to open-source backend projects Interview Process : Technical Round -1 Technical Round -2 CTO Round ( Past projects + Tech stack ) How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: The best way to build safe and reliable AI Agents, Automate repetitive tasks and workflows with our no-code platform or choose from thousands of pre-built agents for immediate impact. About Uplers: Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India. With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently. Experience a simpler, faster, and more reliable hiring process with Uplers today.

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Role Responsibilities: Lead full-cycle AI/ML projects aligned to business goals Guide the team in model development and implementation using advanced frameworks Drive research in Generative AI and LLMs (e.g., GPT, BERT) Collaborate across functions to identify AI-driven growth opportunities Key Deliverables: Successful delivery of high-impact AI projects AI roadmap and strategic planning documentation Mentorship and upskilling of ML team Quality-assured, production-ready ML models using cloud MLOps tools