7 Ai Applications Jobs

Responsibilities : Define and communicate the vision and roadmap for AI-based products in alignment with company objectives Stay updated on AI trends, emerging technologies, and competitive analysis to drive product innovation Collaborate with cross-functional teams (data scientists, engineers, designers, and marketers) to ensure timely delivery of product milestones Manage the product lifecycle from conception to launch and iterate based on user feedback Work closely with customers, internal stakeholders, and external partners to gather requirements and validate product ideas Translate business needs into clear technical requirements for development teams Define and monitor product performance metrics (KPIs) and ensure the AI models meet performance, accuracy, and scalability goals Incorporate data insights and user feedback to prioritize features and enhancements Partner with marketing and sales teams to define value propositions, create product collateral, and ensure successful product adoption. Good to Have: Strong communication skills to articulate complex technical concepts to non-technical stakeholders Proven leadership and ability to influence cross-functional teams without direct authority Strategic thinker with a user-first mindset Knowledge of industry-specific AI applications (e.g., healthcare, fintech, e-commerce) is a plus Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated. Strong Communication & Collaboration acumen Required Skills: Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment What we Offer: Opportunity to work on cutting-edge AI technologies and impactful projects. A collaborative and growth-oriented work environment. Competitive compensation and benefits package. A chance to be a part of a team shaping the future of enterprise intelligence

Job Responsibilities Job Responsibilities Define and communicate the vision and roadmap for AI-based products in alignment with company objectives Stay updated on AI trends, emerging technologies, and competitive analysis to drive product innovation Collaborate with cross-functional teams (data scientists, engineers, designers, and marketers) to ensure timely delivery of product milestones Manage the product lifecycle from conception to launch and iterate based on user feedback Work closely with customers, internal stakeholders, and external partners to gather requirements and validate product ideas Translate business needs into clear technical requirements for development teams Define and monitor product performance metrics (KPIs) and ensure the AI models meet performance, accuracy, and scalability goals Incorporate data insights and user feedback to prioritize features and enhancements Partner with marketing and sales teams to define value propositions, create product collateral, and ensure successful product adoption Skills: Strong communication skills to articulate complex technical concepts to non-technical stakeholders Proven leadership and ability to influence cross-functional teams without direct authority Strategic thinker with a user-first mindset Knowledge of industry-specific AI applications (e.g., healthcare, fintech, e-commerce) is a plus

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.

Overview The AI Solution Architect will be responsible for designing and guiding the technical architecture for the rapid delivery of Machine Learning (ML) and Large Language Model (LLM) powered applications. This role requires a strong understanding of end-to-end system design, integration principles, and the ability to translate business needs into clear and scalable technical blueprints. The architect will ensure seamless integration of various components, optimize for scalability, and effectively communicate architectural designs and trade-offs to both technical and non-technical stakeholders. Key Responsibilities: Design and document end-to-end technical architectures for rapid prototyping and Proof-of-Concepts (POCs) of ML and LLM powered applications. Translate complex business requirements into actionable and well-defined technical designs, considering factors such as performance, scalability, security, and maintainability. Architect the integration of various systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, within tight project timelines and constraints. Define data pipelines and data storage solutions optimized for ML/LLM workloads. Select appropriate technologies, frameworks, and tools for building and deploying AI solutions. Ensure the scalability and reliability of the designed architectures. Collaborate closely with development teams to provide architectural guidance and support throughout the development lifecycle. Communicate architectural designs, trade-offs, and technical complexities clearly and concisely to both technical and non-technical stakeholders, including product managers, business analysts, and executives. Identify and mitigate potential technical risks and challenges. Stay up-to-date with the latest advancements in AI/ML/LLM technologies and architectural patterns. Contribute to the development of architectural best practices and standards within the organization. Requirements Skills & Experience: Proven experience in designing end-to-end technical architectures for rapid prototyping or POCs, with a strong emphasis on ML/LLM components. Demonstrated ability to break down complex business requirements into clear, actionable technical designs and specifications. Hands-on experience integrating multiple systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, under tight timelines and constraints. Excellent communication and presentation skills, with the ability to effectively articulate complex technical concepts and architectural trade-offs to both technical and non-technical team members. Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Experience with containerization technologies (e.g., Docker, Kubernetes). Familiarity with data engineering principles and tools. Understanding of software development methodologies (e.g., Agile, Scrum). Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications: Experience with specific ML/LLM frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Experience with MLOps practices and tools for deploying and managing ML models. Knowledge of security best practices for AI applications. Experience in a fast-paced startup or innovation-driven environment.

Job description If you are a visionary and technically skilled professional eager to work on cutting-edge AI projects, we invite you to apply for this role. As a Solution Architect, you will play a key role in transforming how AI solutions are designed and implemented for our clients, driving innovation and success. Position: Solution Architect Location: Kochi, Kerala Experience Required: 8-10 years Minimum Qualification: B.Tech or MCA About the Role: We are seeking a skilled Solution Architect to lead the design and implementation of innovative solutions centered around Generative AI. The ideal candidate will have a deep understanding of AI technologies and a proven ability to design scalable, robust systems. You will be responsible for shaping the technical direction of projects, ensuring the successful integration of AI models with business applications, and acting as a technical advisor to both clients and internal teams. Key Responsibilities: Architect and design AI-driven solutions that address client needs, with a focus on Generative AI models. Translate business requirements into robust, scalable technical architectures. Provide technical leadership across all project phases, from solution design to implementation and deployment. Collaborate with clients to understand their challenges and define tailored AI solutions. Lead the integration of AI models into existing platforms, ensuring seamless deployment and system performance. Work closely with development teams to ensure adherence to best practices and the successful execution of project deliverables. Ensure the security, scalability, and maintainability of AI applications. Stay ahead of technology trends in the AI and ML space, integrating new approaches and techniques where applicable. Act as the primary point of contact for technical discussions, solution validation, and troubleshooting with clients. Mentor and guide engineering teams to enhance their skills in AI architecture, solution design, and best practices. Create and maintain architecture documentation and provide continuous feedback to improve solution designs. Engage in pre-sales activities , offering technical expertise to prospective clients and contributing to proposal development. Ensure all AI systems comply with regulatory, security, and business standards. Work with cross-functional teams to evaluate and recommend technologies, platforms, and tools that enhance AI capabilities. Required Qualifications and Experience: Education: B.Tech or MCA. Experience: 8-10 years in designing and implementing technical solutions, with at least 2 years of experience in AI or related fields. Strong background in solution architecture, designing scalable and high-performance systems. Experience in working with AI/ML frameworks such as TensorFlow, PyTorch, or similar. Familiarity with languages and technologies like NodeJS, Python, Angular, MongoDB, and Redis . Solid understanding of agile methodologies and ability to work in a fast-paced, iterative environment. Strong client-facing skills with the ability to present complex technical information in a clear and concise manner. Excellent problem-solving, analytical, and troubleshooting skills. Preferred Qualifications: Experience in Generative AI technologies, including working with models like GPT, DALL-E , or BERT . Experience in cloud architectures, including Azure, AWS, or GCP , particularly in deploying AI solutions at scale. Proven experience in leading multiple teams and ensuring seamless project delivery. A background in AI ethics, model governance, or regulatory compliance is a plus. Location: Kochi, Kerala

Job Type: Full Time Job Description: We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. Collaborate with Product & Data Science teams to define core AI/ML platform features. Analyze business requirements and identify pre-trained models that align with use cases. Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. Preprocess, clean, and analyze large datasets to train and improve AI models. Optimize LLM inference speed, memory efficiency, and resource utilization. Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. Develop APIs, pipelines, and frameworks for integrating AI solutions into products. Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience: AI & Machine Learning: Strong experience in developing & deploying AI/ML models. Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. Programming & Development: Proficiency in Python and experience in API development. Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: Experience with multi-modal AI (text, image, video, speech processing). Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton).

Seeking a highly skilled and motivated Senior Generative AI Developer with approximately 2 years of hands-on experience in developing and deploying AI models, particularly in the generative space (e.g., NLP, AL/ML, AWS, Python, RASA, MCP, Flutter). Required Candidate profile 2+ yrs of exp in AI/ML dev, with focus on gen models. Prog skills in Python & ML libraries/frameworks Langchain, spacy, NLTK, Hugging Face Exp in AI bot/agent platforms like Make, POE, RetellAI