436 Genai Jobs - Page 8

Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements: 2-6 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus.

Experience: 2 years of experience in GenAI development is a must. Job Type: Work-from-Office or Remote | Full-time Location: Mangalore, Karnataka. Must have skills: Strong experience with MCP framework for building and deploying scalable AI solutions. Proven expertise in developing voice and text-based AI bots across platforms. Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and integration of GenAI APIs (like OpenAI, Azure OpenAI, etc.). Demonstrated ability to lead and manage teams , oversee project workflows, and drive successful delivery of technical solutions. Key Responsibilities: Design, develop, and optimize generative AI applications based on specific client requirements, including bots, agents, automation systems and AI-driven platforms Mentor and guide the development team, helping them solve technical challenges and improve project delivery Write clean, maintainable code and conduct code reviews. Lead data collection, preparation, and optimization efforts to enhance the performance of AI applications Stay updated with the latest research and advanements in AI/ML and assess their applicability. What Were Looking For? Strong programming skills in Python and experience with ML libraries/frameworks (Langchain, spacy, NLTK, Hugging Face, etc.).\ Hands-on experience with NLP, Dailogflow, Voiceflow, RASA, Microsoft Bot Framework, MCP Familiarity with MLOps practices, model deployment, and cloud platforms (AWS, GCP, Azure). Exposure to AI bot/agent platforms like Make, POE, RetellAI Solid understanding of data structures, algorithms, and software engineering principles. Strong analytical and problem-solving skills.

We're looking for experienced GenAI Engineers in the following areas: - Design and implement RAG pipelines (Retrieval-Augmented Generation) - Prompt Engineering - Open-source and proprietary LLMs (like LLaMA, Mistral, Claude, GPT-4o, etc.) - Building AI Agents, MCP, A2A Tech Stack [any other similar to this is also ok]: - LangChain, LangFlow, LangGraph, LangSmith, Dify, AWS bedrock, sageworks, GenAI, - Vector DBs [Postgres, Pinecone, etc] - Agents [A2A] SDK [google, others] and any Agentic AI platform - CrewAI, Cursor, Windsurf, etc

We're looking for experienced GenAI Engineers in the following areas: - Architect and implement RAG pipelines (Retrieval-Augmented Generation) - Prompt Engineering - Open-source and proprietary LLMs (like LLaMA, Mistral, Claude, GPT-4o, etc.) - Building AI Agents, MCP, A2A Tech Stack [any other similar to this is also ok]: - LangChain, LangFlow, LangGraph, LangSmith, Dify, AWS bedrock, sageworks, GenAI, - Vector DBs [Postgres, Pinecone, etc] - Agents [A2A] SDK [google, others] and any Agentic AI platform - CrewAI, Cursor, Windsurf, etc

Seeking a GenAI Software Engineer with 5+ years’ experience to develop LLM-based applications, RAG, and AI agents. Must be skilled in LangChain, vector databases, and cloud-based AI deployment in agile teams. Required Candidate profile Experienced AI developer with expertise in GenAI, LLM apps, and RAG. Proficient in LangChain, vector DBs, and cloud AI services. Strong collaboration and agile development background preferred.

Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems Proficient in ML system design Strong communication skills to articulate complex tasks into strategies Familiarity with software engineering best practices including testing and OOP Knowledge of cloud systems, especially Azure Understanding of mathematical optimizers and how to configure them Collaborate with data scientists, engineers, and business teams Build scalable, reusable data science products with ML algorithms Carry out data analyses for actionable business insights Experience in prototyping and maintaining data science products (5+ years) Applied data science knowledge across all lifecycle stages Strong foundation in statistics and machine learning Development experience in Python, Go, Java, or C++ Advanced SQL knowledge and experimental design understanding Customer-centric approach focused on value delivery Experience with ML system design like kNN models and NLP algorithms

Location: Bangalore Experience: 3 - 5 Years Notice Period: Immediate to 15 Days CTC: 10 20 LPA Role Overview: We are seeking a skilled and innovative LLM Engineer to design, implement, and optimize advanced GenAI solutions across drug discovery, clinical development, and manufacturing. The ideal candidate will have hands-on experience with LLMs, deep learning, MLOps, and agentic frameworks, with a strong focus on building scalable AI infrastructure and production-ready ML pipelines. Key Responsibilities: Design and implement LLM training and fine-tuning pipelines (e.g., using DeepSpeed, PEFT, RLHF). Collaborate with data scientists to customize and deploy LLMs in use cases such as target discovery, clinical trial optimization, and molecule design . Build scalable, reusable backend systems and GenAI agentic frameworks (AutoGen, LangGraph) to power R&D applications. Develop and maintain robust evaluation frameworks , telemetry systems, and performance monitoring tools. Operationalize models on Azure and GCP with MLOps best practices, working closely with the DevSecOps team. Design data pipelines to support rapid ML experimentation and model lifecycle management. Evaluate and integrate third-party GenAI tools and co-develop solutions with external technology partners. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. 3–5 years of experience in ML/AI engineering, with a strong focus on LLMs and GenAI . Proficiency in Python and frameworks such as PyTorch or TensorFlow . Experience with LLM technologies , including embedding techniques, RAG, fine-tuning, pre-training , and evaluation benchmarks . Hands-on experience with agentic AI frameworks like AutoGen and LangGraph . Solid experience in MLOps , model deployment, and cloud infrastructure (Azure, GCP). Full-stack engineering mindset with familiarity in CI/CD, testing, code reviews , and scalable software development. Strong problem-solving abilities and communication skills. Preferred: Experience in life sciences, healthcare, or pharma R&D applications is a plus. Familiarity with data governance, model interpretability, and responsible AI practices.

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 Senior Principal Consultant, Scrum Master! In this role, you will Manage software development projects: You will lead the planning, design, development, testing, and implementation of software applications Responsibilities Responsible for taking large Enterprise Data and Analytics programs from business cases through post-implementation and benefits tracking. Drive crucial conversations with senior leaders in business and IT to define strategic business cases and measurable benefits. Drive all PMO activities in coordination with a team of senior technical and non-technical professionals dedicated to the implementation and enablement of company-wide data and analytics platforms. Plan, lead and facilitate Agile practices like sprint planning, burn up/burn downs, and cross-functional scrum team dependencies, and create release schedules and related staffing plans. Develop a detailed program execution plan and manage all execution aspects, including program interdependencies, progress metrics, testing, deployment, and enablement. Create crisp and complete documentation to facilitate program reviews and the decision-making process at the Steering Committee. Drive risk mitigation strategies and issue resolution actions with key stakeholders at all levels of the organization. Engage and collaborate with all business and IT functions affected by the program, internal and external partners and vendors. Apply consistency and best practices through program initiation, planning, execution and closing phases, enabling business outcomes and benefits tracking. Manage one to many scrum teams applying Agile principles, practices, and theory. Experience in GenAI project Qualifications we seek in you! Minimum Qualifications / Skills Project / program management experience with dedicated to hands-on project management in the application security space . Knowledge of security frameworks (BSIMM, etc.) and proven experience in managing multiple projects, and programs to improve security capability maturity. Experience with Agile traits and techniques: Lean design, accommodating changing requirements, iterations, and loop feedback with customer involvement. Demonstrated ability to drive Steering Committee meetings with executive management with solid experience in decision-making. Excellent communication skills, problem-solving, conflict/resolution management, active listening, time management, and interpersonal skills. Demonstrated consistent ability to lead cross-functional teams and deliver technical solutions while mitigating or removing hurdles/obstacles. Has a track record of overcoming project crises. Ability to be straightforward, articulate well, and have exceptional listening skills . Demonstrated consistent ability to lead cross-functional teams and deliver solutions. Preferred Qualifications/ Skills Scrum Master, SAFe Agile, PMP certification Knowledge of Change & Incident Management process Excellent communication and people skills Bachelor&rsquos degree or equivalent experience in Computer Information Systems (CIS), Management Information Systems (MIS), Computer Science (CS) or related field ITIL . Certification or working experience using ITIL SM is a plus . Experience with Six Sigma methodology is a plus . Working knowledge of the ServiceNow PPM platform is preferred. 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.

We are looking for enthusiastic and trained fresher candidates who have hands-on experience working on Python-based AI projects, either through internships, academic projects, or certifications.

AI - Supply Chain Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, Gurugram, Hyderabad, Pune, Mumbai Must-have skills: Supply Chain Analytics, AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions – Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure.Role & responsibilities

Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets. Immediate Joiners.

Location: Hyderabad, India Experience Level: 8 to 12 Years Mode : Hybrid ROLES AND Responsibilities: Architect, design, and develop end-to-end features across the stack using Go for backend services and React for frontend UI. Design and implement GenAI-driven features using technologies like OpenAI, Hugging Face, LangChain , or custom LLMs . Integrate LLMs, vector databases (FAISS, Pinecone, Weaviate) , and retrieval-augmented generation (RAG) techniques into products. Collaborate with product and design teams to define and refine intelligent user experiences. Ensure high performance, scalability, and reliability of systems in production. Participate in code reviews, design discussions, and mentorship of junior engineers. Drive continuous improvement in development processes, tooling, and architecture. Stay current with advancements in AI/ML and apply them meaningfully to product features.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Pune. - A 15 years full time education is required.

Hi All, We are urgently hiring for a "GenAI " with a reputed Client for Pune, Location Experience - 7 + years ### Looking for IMMEDIATE JOINER or Serving Notice period ### Primary Skills: ML Models- Supervised and Unsupervised learning GEN AI- RAG, AI Agents Python Interested candidate kindly share your resume on gayatri.pat@peoplefy.com

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience:7 -10Years (2+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

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 Principal Consultant -Lead MLOps Engineer! In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/ GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably. You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines. Responsibilities Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps Lead the development of CI/CD pipelines and standardize deployment frameworks. Design observability and monitoring systems for ML/ GenAI workloads. Collaborate with platform, data science, compliance and Enterprise Architecture teams to ensure scalable ML operations. Define enterprise-wide MLOps architecture and standards (build ? deploy ? monitor) Lead design of GenAI / LLMOps platform (Bedrock/OpenAI/Hugging Face + RAG stack) Integrate governance controls (approvals, drift detection, rollback strategies) Define model metadata standards, monitoring SLAs, and re-training workflows Influence tooling, hiring, and roadmap decisions for AI/ML delivery Be engaging in the design, development and maintenance of data pipelines for various AI use cases Required to actively contribution to key deliverables as part of an agile development team Qualifications we seek in you! Minimum Qualifications Good years of experience in DevOps or MLOps roles. Degree/qualification in Computer Science or a related field, or equivalent work experience Strong Python programming skills. Hands on experience in containerised deployment. Proficient with AWS (SageMaker, Lambda, ECR), Terraform, and Python. Demonstrated experience deploying multiple GenAI systems into production. Hands-on experience deploying 3-4 ML/ GenAI models in AWS. Deep understanding of ML model lifecycle: train ? test ? deploy ? monitor ? retrain. Experience in developing, testing, and deploying data pipelines using public cloud. Clear and effective communication skills to interact with team members, stakeholders and end users Knowledge of governance and compliance policies, standards, and procedures Exposure to RAG/LLM workloads and model deployment infrastructure. Experience in developing, testing, and deploying data pipelines Preferred Qualifications/ Skills Experience designing model governance frameworks and CI/CD pipelines. Knowledge of governance and compliance policies, standards, and procedures Advanced understanding of platform security, cost optimization, and ML observability. 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.

Role and Responsibilities: Branding & Visual Identity: Develop and maintain the visual identity for FlytBase, ensuring consistency across all touchpoints. Graphic Design: Create AI-based visuals for digital and print media, including social media posts, presentations, brochures, and event collateral. Motion Graphics: Design engaging AI animations and motion graphics for videos, product showcases, and marketing campaigns. 3D Design: Collaborate on 3D projects for product visuals, promotional content, and experimental ideas. Video Production: Assist with video editing and storytelling, turning concepts into polished final products. Web Design: Contribute to website design, ensuring the user experience aligns with our brand and vision. Collaboration: Work closely with the marketing and product teams to brainstorm and execute innovative campaigns and ideas.

Role & responsibilities • Lead the technical architecture and design of end-to-end solutions across cloud and hybrid environments. • Translate complex business requirements into scalable, performant, and secure technical designs. • Collaborate closely with engineering, product, and business teams to align architectural goals with delivery objectives. • Provide technical leadership and mentorship to development teams across technologies including backend, frontend, DevOps, and data layers. • Define and enforce coding standards, design principles, architectural best practices, and governance processes. • Drive cloud-native design on Azure, incorporating services such as Azure App Services, Azure Functions, etc. • Actively contribute to POCs, reference architectures, reusable templates, and solution accelerators. • Stay updated with emerging tools, technologies, and frameworks to recommend improvements and modernize existing systems. Preferred candidate profile Minimum Qualifications • BE/B Tech/MCA or equivalent degree in technical discipline. • Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly to varied audiences. Preferred Qualifications/ Skills • Hands-on experience in software development. • Strong expertise in designing and implementing solutions using Python. • Experience in AI/ML model deployment, MLOps, or GenAI integration. • Deep understanding of Azure cloud ecosystem. • Understanding of microservices architecture, API and integration patterns. • Familiarity with databases (SQL/NoSQL), messaging systems, caching, and distributed systems. • Strong problem-solving ability and experience with troubleshooting and performance optimization. • Knowledge/experience of FnA domain (R2R, S2P, O2C) is a strong plus.

Role Overview As a Technical Project Manager, you will be responsible for planning, coordinating, and delivering complex AI/ML and cloud-native solutions across multiple clients. You will work closely with engineering, product, and client teams to ensure outcomes are delivered on time, within scope, and with high quality. This is a hands-on leadership role for someone who can design delivery blueprints, steer execution under ambiguity, and manage crises with composure. Key Responsibilities Project Ownership: Manage end-to-end project delivery from scoping to deployment and post-launch support across AI/ML, DevOps, or software engineering engagements. Solution Design: Translate business problems into solution blueprints. Work with technical leads to ensure detailed technical architecture aligns with design goals. Execution Leadership: Ensure the team follows delivery best practices including Agile or hybrid models. Monitor sprint performance, mitigate risks, and maintain delivery cadence. Stakeholder Communication: Act as the primary communication bridge between clients and internal teams. Present updates, handle escalations, and ensure client satisfaction. Technology Awareness: Stay updated with emerging GenAI, ML Ops, automation, and DevOps trends. Actively bring in new practices and ideas to improve delivery. Crisis Management: Step in during escalations or delivery slippages. Replan, reassign, and realign teams to bring execution back on track quickly and calmly. Mandatory Qualities Hard Working: Willing to go the extra mile when needed, especially in client-facing high-stakes environments. Inquisitive: Passionate about learning new technologies, especially in AI/GenAI, and applying them to real-world problems. Execution-Oriented: Strong at following through on delivery commitments and aligning teams to the design plan. Excellent Communicator: Able to clearly explain complex ideas and maintain clarity with multiple stakeholders. Crisis-Ready Leader: Proven ability to handle ambiguity, firefight during challenges, and bring stability to teams under pressure. Preferred Qualifications Background in AI/ML or DevOps project environments Prior experience in IT services or consulting roles Familiarity with Agile, Kanban, and DevOps practices Engineering background (B.Tech/MCA) preferred Why Join Us Work with cutting-edge technologies like GenAI, MLOps, and AI agents Drive real transformation across sectors like BFSI, healthcare, and manufacturing Collaborative and entrepreneurial team culture Opportunity to grow into leadership roles across delivery and strategy

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Qualifications Required: 8+ years of relevant industry experience leading the design, development, and deployment of machine learning models Experience being the technical lead for multiple project teams simultaneously Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc Understanding of LLMs and prompt engineering Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews Expert understanding of Python and other common languages Deep understanding of machine learning model development life cycles Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS) Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.) Demonstrated ability to write high-quality, production-ready code (readable, well- tested, well-documented, with well-designed APIs) Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools Excellent written and verbal communication skills Ability to travel as needed

Role & responsibilities Total overall experience: 6-9 years Experience in Python: 5+ years (should be hands on with development) Experience in AI/ML: 1+ years Experience with Deployment on Cloud: 2+ years

Solutions Architect : Pre-Sales (Application Modernization & Digital Platforms) Role Summary We are looking for a seasoned Solutions Architect to lead pre-sales solutioning and technical design for application modernization initiatives. This role focuses heavily on application architecture including legacy system transformation, re-platforming, and modular enterprise app design — with working knowledge of cloud-native tools and DevOps principles. The ideal candidate is proficient in Java, Python, Node.js, and .NET, and well-versed in enterprise architecture best practices and design patterns that scale across organizations. Key Responsibilities Architect application modernization solutions during pre-sales engagements, aligning with client business needs and IT strategy. Analyze legacy application portfolios and propose modernization strategies such as rehosting, refactoring, rearchitecting, or rebuilding. Design scalable, resilient, and maintainable solutions using modern architecture patterns (microservices, event-driven, layered architecture). Leverage enterprise design patterns such as: Strangler Fig (incremental modernization) Domain-Driven Design (DDD) CQRS and Event Sourcing API Gateway and BFF (Backend-for-Frontend) Repository, Unit of Work, and Adapter patterns Produce solution architecture documents, estimates, and presentation material for RFPs/RFIs, proposals, and customer pitches. Guide PoC implementations, demo environments, and value accelerators. Ensure solution designs incorporate non-functional requirements: scalability, security, observability, availability, and performance. Technology Stack Languages/Frameworks: Java (Spring Boot, Hibernate, JPA) Python (FastAPI, Django, Celery) Node.js (Express, NestJS) .NET Core (.NET 6/7, ASP.NET Web API) Databases: PostgreSQL, MS SQL, MongoDB, Redis Integration: REST, gRPC, Kafka, RabbitMQ Architecture: Microservices, SOA, Modular Monoliths, Reactive Systems Cloud & DevOps (Secondary Focus) Exposure to AWS, Azure, or GCP cloud services (compute, storage, messaging, API management). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with Infrastructure as Code (Terraform, Helm) and observability tools (Prometheus, Grafana, ELK). Best Practices & Architecture Governance Apply industry best practices such as: Twelve-Factor App principles SOLID design principles Secure coding practices (OWASP Top 10) Design-for-failure and graceful degradation Champion documentation standards, reusable reference architectures, and lightweight architecture decision records (ADRs). Participate in architecture review boards and provide guidance to ensure consistency across engagements. Pre-Sales Experience Proven experience creating solution blueprints, technical writeups, and estimates as part of bid responses and proposals. Conduct client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–16 years of experience in software architecture, including recent hands-on involvement in solutioning. Bachelor’s or Master’s degree in Computer Science or Engineering. Certifications preferred: TOGAF, CITA. Exposure to verticals like BFSI, Healthcare, Manufacturing, or Telecom is a plus.

Python for consumer tech (Django, FastAPI) Core stack: Django, FastAPI, Redis, Supabase (Postgres), Datadog Strong work ethic, high ownership mindset Ed-Tech x GenAI

Technical Lead - Python (AI/ML) - Only Immediate Joiners Permanent Airoli, Mumbai Preferred candidate profile Skillset Requirements: Technical Lead Total overall experience: 6-9 years Experience in Python: 5+ years (should be hands on with development) Experience in AI/ML: 1+ years Experience with Deployment on Cloud: 2+ years If Interested, kindly share me your updated profile along with below details. Full Name: Contact #: Email ID: Total experience: Key skills: Current Location: Relocation: Current Employer: CTC (Including Variable): ECTC: Notice Period: Holding any offer: