16 Genai Frameworks Jobs

The ideal candidate should have a minimum of 3 years of experience in GenAI for client-side deployments. You must possess significant expertise in Prompt engineering, GenAI frameworks, LLM understanding, Finetuning, NLP, and text analysis. Strong communication skills and practical technical knowledge are essential for this role. This is a contingency supply opportunity, and we require the selected candidate to be onboarded before 25th September. Please note that individuals with a notice period of 2-3 months will not be considered for this position. If you meet the requirements mentioned above, kindly submit your profile to suhail.s@kudzuinfotech.com. Thank you for considering this opportunity. Best regards, Banibrata Sarkar,

Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can continue to grow, belong, and thrive. Your career here is about believing in yourself and seizing new opportunities and challenges. It's about expanding your skills and expertise in your current role and preparing yourself for future advancements. That's why we encourage you to take every opportunity to further your career within our great global team. We are seeking an experienced Data Engineer to join our team in delivering cutting-edge Generative AI (GenAI) solutions to clients. The successful candidate will be responsible for designing, developing, and deploying data pipelines and architectures that support the training, fine-tuning, and deployment of LLMs for various industries. This role requires strong technical expertise in data engineering, problem-solving skills, and the ability to work effectively with clients and internal teams. Key Responsibilities: - Design, develop, and manage data pipelines and architectures to support GenAI model training, fine-tuning, and deployment - Data Ingestion and Integration: Develop data ingestion frameworks to collect data from various sources, transform, and integrate it into a unified data platform for GenAI model training and deployment. - GenAI Model Integration: Collaborate with data scientists to integrate GenAI models into production-ready applications, ensuring seamless model deployment, monitoring, and maintenance. - Cloud Infrastructure Management: Design, implement, and manage cloud-based data infrastructure (e.g., AWS, GCP, Azure) to support large-scale GenAI workloads, ensuring cost-effectiveness, security, and compliance. - Write scalable, readable, and maintainable code using object-oriented programming concepts in languages like Python, and utilize libraries like Hugging Face Transformers, PyTorch, or TensorFlow - Performance Optimization: Optimize data pipelines, GenAI model performance, and infrastructure for scalability, efficiency, and cost-effectiveness. - Data Security and Compliance: Ensure data security, privacy, and compliance with regulatory requirements (e.g., GDPR, HIPAA) across data pipelines and GenAI applications. - Client Collaboration: Collaborate with clients to understand their GenAI needs, design solutions, and deliver high-quality data engineering services. - Innovation and R&D: Stay up to date with the latest GenAI trends, technologies, and innovations, applying research and development skills to improve data engineering services. - Knowledge Sharing: Share knowledge, best practices, and expertise with team members, contributing to the growth and development of the team. Requirements: - Bachelors degree in computer science, Engineering, or related fields (Master's recommended) - Experience with vector databases (e.g., Pinecone, Weaviate, Faiss, Annoy) for efficient similarity search and storage of dense vectors in GenAI applications - 5+ years of experience in data engineering, with a strong emphasis on cloud environments (AWS, GCP, Azure, or Cloud Native platforms) - Proficiency in programming languages like SQL, Python, and PySpark - Strong data architecture, data modeling, and data governance skills - Experience with Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg), Data Warehouses (Teradata, Snowflake, BigQuery), and lakehouses (Delta Lake, Apache Hudi) - Knowledge of DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) - Experience with GenAI frameworks and tools (e.g., TensorFlow, PyTorch, Keras) Nice to have: - Experience with containerization and orchestration tools like Docker and Kubernetes - Integrate vector databases and implement similarity search techniques, with a focus on GraphRAG is a plus - Familiarity with API gateway and service mesh architectures - Experience with low latency/streaming, batch, and micro-batch processing - Familiarity with Linux-based operating systems and REST APIs Location: Delhi or Bangalore Workplace type: Hybrid Working Equal Opportunity Employer,

As a Staff Engineer at our company, you will play a crucial role in leading the technical direction and hands-on development of our next-generation, agentic AI-first marketing platforms. Your responsibilities will include architecting, building, and shipping products that revolutionize how marketers interact with data, plan campaigns, and make decisions. Your day-to-day tasks will involve building Gen-AI native products, utilizing LLMs, agents, and predictive AI to power platforms. You will also stay hands-on by designing systems, writing code, debugging, and ensuring product excellence. In addition, you will lead a talented team of full stack engineers and mentor them to success. Speed to market is essential in this role, as you will be required to rapidly ship and iterate on MVPs to maximize learning and feedback. Your ownership will extend across the full stack, from backend data pipelines to intuitive UIs, utilizing technologies such as Airflow, React, BigQuery, and embeddings. Ensuring scalability, security, and performance in multi-tenant, cloud-native environments (GCP) will be a key part of your responsibilities. Collaboration with product, growth, and leadership teams is crucial to aligning technology with business priorities effectively. To be successful in this role, you should have at least 8 years of experience building and scaling full-stack, data-driven products. Proficiency in backend technologies such as Node.js, Python, and frontend technologies like React, along with solid experience in GCP is required. A strong understanding of data pipelines, analytics, real-time data processing, and familiarity with Gen-AI frameworks is essential. Your proven architectural leadership, technical ownership, and a product mindset focused on execution and iteration will be highly valued. Our current tech stack includes Google Cloud Platform for cloud services, Node.js and Python for backend development, Airflow for data workflows, BigQuery and Cloud SQL for data management, TensorFlow and OpenAI APIs for AI/ML capabilities, and React.js for frontend development.,

You are a visionary and hands-on Gen AI Architect responsible for leading the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions within the Retail domain. Your role is crucial in shaping the AI strategy, creating innovative offerings, and ensuring client success through impactful PoCs and solutions. Working closely with the CTO and Retail strategy office, you will define the AI roadmap, manage a team of engineers and architects, and represent the company in client engagements and industry forums. Your key responsibilities will include architecting and leading the development of GenAI and Agentic AI solutions customized for retail use cases such as personalized shopping, intelligent agents, and supply chain optimization. You will collaborate with the CTO to define AI strategy, develop solution blueprints, and create innovation roadmaps. Additionally, you will design and build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Leading and mentoring a team of engineers and architects, you will cultivate a culture of innovation, quality, and continuous learning. Engaging with clients, you will present PoVs, conduct workshops, and communicate the value of GenAI solutions through compelling storytelling and technical depth. By ensuring Engineering Excellence, you will implement best practices in TDD, BDD, DevSecOps, and microservices architecture. Your required skills and experience include expertise in AI/ML & GenAI, with proven hands-on experience in LLMs, GenAI frameworks, Agentic AI tools, vector databases, prompt engineering, RAG pipelines, and orchestration. In terms of Engineering & Architecture, you should have a strong background in Java Spring Boot, REST APIs, Microservices, Cloud platforms, CI/CD, DevSecOps, TDD/BDD, and containerization. Leadership & Communication skills are essential, with the ability to convey complex AI concepts to technical and non-technical audiences through exceptional storytelling and articulation. Experience in client-facing roles, workshops, demos, and executive presentations is valuable. Being able to lead cross-functional teams and drive innovation in a fast-paced environment is a key requirement. Preferred qualifications include a Bachelors or Masters degree in Computer Science, AI/ML, or related field, certifications in AI/ML and Cloud (GCP or Azure), and experience in the Retail domain or consumer-facing industries. Joining this role will allow you to be at the forefront of AI innovation in Retail, work with a visionary leadership team, build solutions that impact Cognizant's Retail clients, and enjoy a collaborative, inclusive, and growth-oriented culture.,

Role & responsibilities Responsibilities : Design and develop Single Page App using frameworks/libraries like ReactJS, Angular Design, develop, and maintain robust, scalable microservices using Python. Collaborate with cross-functional teams to integrate AI/ML algorithms into production systems. Participate in building AI/ML models and services Build and optimize machine learning pipelines and workflows. Create RESTful APIs to support front-end and back-end services. Ensure the performance, quality, and responsiveness of applications. Develop data models and work on real-time data processing tasks. Debug and resolve application issues and improve system efficiency. Write clean, maintainable, and testable code following best practices. Strong proficiency in React/Angular Strong proficiency in Python and its frameworks - FastAPI Experience building and deploying microservices-based architectures. Hands-on experience with AI/ML/GenAI frameworks - LLM, TensorFlow, PyTorch, Scikit-learn, etc. Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). Good understanding of API design, including RESTful APIs. Experience with databases (SQL and NoSQL). Strong problem-solving skills and ability to work in agile environments. Knowledge of CI/CD pipelines and version control systems (e.g., Git). Preferred Skills : Exposure to NLP, computer vision, or other AI domains. Experience with big data tools like Spark or Hadoop. Knowledge of message brokers like Kafka, EventHub, etc

Role & responsibilities Responsibilities : Design and develop Single Page App using frameworks/libraries like ReactJS, Angular Design, develop, and maintain robust, scalable microservices using Python. Collaborate with cross-functional teams to integrate AI/ML algorithms into production systems. Participate in building AI/ML models and services Build and optimize machine learning pipelines and workflows. Create RESTful APIs to support front-end and back-end services. Ensure the performance, quality, and responsiveness of applications. Develop data models and work on real-time data processing tasks. Debug and resolve application issues and improve system efficiency. Write clean, maintainable, and testable code following best practices. Strong proficiency in React/Angular Strong proficiency in Python and its frameworks - FastAPI Experience building and deploying microservices-based architectures. Hands-on experience with AI/ML/GenAI frameworks - LLM, TensorFlow, PyTorch, Scikit-learn, etc. Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). Good understanding of API design, including RESTful APIs. Experience with databases (SQL and NoSQL). Strong problem-solving skills and ability to work in agile environments. Knowledge of CI/CD pipelines and version control systems (e.g., Git). Preferred Skills : Exposure to NLP, computer vision, or other AI domains. Experience with big data tools like Spark or Hadoop. Knowledge of message brokers like Kafka, EventHub, etc

Lead the planning, design, and execution of Applied GenAI projects, aligning them with business objectives and technical requirements. Collaborate with cross-functional teams including engineers, data scientists, and business stakeholders to deliver impactful GenAI solutions. Provide technical leadership and mentorship, fostering a culture of innovation and continuous improvement. Conduct thorough assessments of client needs to design tailored GenAI strategies addressing specific business challenges. Configure GenAI models using prompt engineering, keyword tuning, rules, preferences, and weightages for customer-specific datasets. Oversee deployment and integration of GenAI models into production environments, ensuring scalability, reliability, and performance. Demonstrate strong troubleshooting abilities using tools such as SQL, Kibana Logs, and Azure AppInsights. Monitor solution performance and provide data-driven recommendations for enhancements and optimization. Stay current with the latest GenAI advancements, incorporating best practices into implementation. Prepare and present reports, documentation, and demos to clients and senior leadership, showcasing progress and insights. Conduct GenAI proof-of-concepts and demonstrations exploring the art of the possible in AI applications. Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Extensive experience in AI/ML with a focus on Generative AI technologies. Proven success in leading and delivering complex AI projects. Strong understanding of GenAI frameworks, tools, and methodologies. Excellent problem-solving, strategic thinking, and project management skills. Exceptional communication and collaboration abilities with diverse teams and stakeholders. Experience with cloud platforms and AI deployments in cloud environments (Azure preferred). Preferred Skills Hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, including machine learning techniques and algorithms. Skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack. Good knowledge of client-side scripting: JavaScript and jQuery. Understanding of ethical AI principles and best practices in implementation. Proficiency in Python, R, Java, and Regex expressions. Experience using requirement management tools like TFS. Strong verbal and written communication skills with the ability to influence peers and leadership.,

The role requires you to design, develop, and maintain complex, high-performance, and scalable MLOps systems that interact with AI models and systems. You will collaborate with cross-functional teams, including data scientists, AI researchers, and AI/ML engineers, to comprehend requirements, define project scope, and ensure alignment with business goals. Your expertise will be crucial in selecting, evaluating, and implementing software technologies, tools, and frameworks within a cloud-native (Azure + AML) environment. Troubleshooting and resolving intricate software issues to ensure optimal performance and reliability when interfacing with AI/ML systems is an essential part of your responsibilities. Additionally, you will contribute to software development project planning and estimation, ensuring efficient resource allocation and timely solution delivery. Your role involves contributing to the development of continuous integration and continuous deployment (CI/CD) pipelines, high-performance data pipelines, storage systems, and data processing solutions. You will drive the integration of GenAI models, such as LLMs and foundation models, into production workflows, including overseeing orchestration and evaluation pipelines. Moreover, you will provide support for edge deployment use cases through model optimization, conversion (e.g., to ONNX, TFLite), and containerization for edge runtimes. Your contribution to creating and maintaining technical documentation, including design specifications, API documentation, data models, data flow diagrams, and user manuals, will be vital for effective communication within the team. **Required Qualifications:** - Bachelor's degree in software engineering/computer science or related discipline - Minimum of 6 years of experience in machine learning operations or software/platform development - Strong familiarity with Azure ML, Azure DevOps, Blob Storage, and containerized model deployments on Azure - Proficiency in programming languages commonly used in AI/ML, such as Python, R, or C++ - Experience with Azure cloud platform, machine learning services, and industry best practices **Preferred Qualifications:** - Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras - Familiarity with version control systems like Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps - Knowledge of containerization technologies such as Docker and Kubernetes, along with infrastructure-as-code tools like Terraform or Azure Resource Manager (ARM) templates - Exposure to Generative AI workflows, including prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG) - Understanding of GenAI frameworks like LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI API integration - Experience in deploying optimized models on edge devices using ONNX Runtime, TensorRT, OpenVINO, or TFLite - Hands-on experience with monitoring LLM outputs, feedback loops, or LLMOps best practices - Familiarity with edge inference hardware such as NVIDIA Jetson, Intel Movidius, or ARM Cortex-A/NPU devices This is a permanent position requiring in-person work.,

As a talented Python with AI/ML Developer at BMC, you will be working on complex and distributed software, playing a key role in designing, developing, and debugging software products. Your primary responsibilities will include implementing features and ensuring product quality for the IZOT product line, which focuses on BMCs Intelligent Z Optimization & Transformation products. You will have the opportunity to work on modernizing mainframe systems for some of the world's largest companies. By leveraging GenAI frameworks, RAG pipelines, and OpenAI Protocol, you will contribute to improving the developer experience, mainframe integration, application development speed, code quality, and application security while reducing operational costs and risks. In this role, you will be expected to design and develop robust Restful APIs and Microservices using Twelve-Factor App and Microservices design patterns. You will also work with AI/ML models hosted both in-house and on cloud platforms for real-time and batch inference. Additionally, you will fine-tune and adapt pre-trained models using machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn to build domain-specific products and drive actionable insights and business outcomes. To excel in this role, you should have 8+ years of experience in application development using Python/Fast API, Java, and RESTful services. A background in computer science, Statistics, Mathematics, Data Science, or related fields is preferred, along with experience in Full Stack Development, frontend development, and machine learning frameworks. Furthermore, familiarity with design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation, and performance at scale will be beneficial. Experience with data engineering, model tracking, serving, container orchestration frameworks, observability tools, and CI/CD environments is also desirable. At BMC, we value continuous learning and growth. If you are passionate about adapting technology to provide business-benefiting solutions and have excellent communication skills, we encourage you to apply. We are committed to attracting talents from diverse backgrounds and experiences to foster innovation and creativity within our team. Join BMC and be a part of a culture that celebrates individuality and values each employee for their unique contributions. Your journey at BMC will be rewarding not only in terms of salary but also through a supportive work environment that encourages personal and professional development. If you are excited about the opportunity to work at BMC but are unsure if you meet all the qualifications, we still encourage you to apply. Your authentic self is what we value the most. Take the first step towards an exciting career at BMC by exploring the possibilities and applying through our website.,

As an intern at IntelliSQr, you will be responsible for assisting in various tasks related to data processing and machine learning projects. Your day-to-day responsibilities will include: - Assisting in the collection, cleaning, and preprocessing of data for Machine Learning (ML), Deep Learning (DL), and GenAI projects. - Supporting the development, training, and evaluation of machine learning and deep learning models. - Working on fine-tuning and evaluating Large Language Models (LLMs) for specific tasks. - Exploring and experimenting with GenAI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, Transformers. - Contributing to the building and testing of AI/ML/DL pipelines and GenAI-powered applications. - Conducting literature reviews to stay updated on recent advancements in ML, DL, and LLMs. - Performing prompt engineering and optimizing LLM outputs for relevance and accuracy. - Documenting model architectures, experiments, findings, and improvement suggestions. - Collaborating with AI engineers and product teams to integrate models into real-world applications. - Participating in code reviews, version control, and team discussions to enhance learning and contribution. About Company: IntelliSQr is a technology procurement platform specializing in business analytics solutions across various industries. The company aims to simplify the process for customers by recommending suitable solutions based on their business and technical requirements.,

You are a motivated and technically skilled Data Scientist with 4+ years of experience in applying AI/ML techniques to solve real-world problems. You possess a solid foundation in machine learning, statistical modeling, and data analysis, with hands-on experience working with large datasets and deploying models in production environments. Your key responsibilities include designing, developing, and deploying machine learning models and AI solutions for business problems across multiple domains. You will collaborate with cross-functional teams including engineering, product, and analytics to identify opportunities for data-driven solutions. Conducting exploratory data analysis (EDA), feature engineering, and model selection using industry best practices are essential. You will also perform experiments, model validation, and performance tuning, as well as build reusable code and libraries for future use while contributing to data science platform improvements. Presenting findings and insights clearly to both technical and non-technical stakeholders is a crucial part of your role. You should have 4+ years of relevant experience in data science, with hands-on experience in machine learning, deep learning, or AI systems. Proficiency in Python and relevant libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch, NumPy, etc., is required. A strong understanding of supervised, unsupervised, and reinforcement learning techniques is necessary. Experience with SQL, data wrangling, and working with large datasets is expected, and exposure to cloud platforms like AWS, Azure, or GCP is a plus. Familiarity with MLOps, model deployment, and version control (e.g., Git) is beneficial. Preferred qualifications include experience working with NLP, computer vision, or time-series forecasting, as well as familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, Tableau. An understanding of A/B testing, causal inference, and statistical hypothesis testing is advantageous. You should be able to work in a fast-paced, agile environment with minimal supervision and have experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling. In terms of the tech stack, you should be familiar with languages and frameworks like Python, Java, SQL, JavaScript/TypeScript, and tools such as TensorFlow, PyTorch, and Scikit-learn. Cloud platforms like GCP Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, and Pub/Sub are essential. Knowledge of data and MLOps tools like BigQuery, AlloyDB, MongoDB, Redis, relation databases (e.g., Oracle, MySQL, MSSQL), and MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes) is required. Understanding of GenAI and agents such as Vertex AI Gemini, OpenAI, Claude, LangChain, LlamaIndex, FAISS, Pinecone, RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, and prompt chaining is beneficial. Dev tools like GitHub Copilot, ChatGPT, Cursor AI, or any other Gen AI tools are also part of the tech stack you will work with.,

About Us Thoucentric provides end-to-end consulting solutions to tackle diverse business challenges across industries. With a focus on leveraging deep domain expertise, cutting-edge technology, and a results-driven approach, we assist organizations in optimizing operations, improving decision-making, and fostering growth. Headquartered in Bangalore, we have a global presence in India, US, UK, Singapore, and Australia. Our services span Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning, and Execution, encompassing areas such as Analytics & Emerging Tech in functional domains like Supply Chain, Finance & HR, Sales & Distribution. We pride ourselves on executing solutions rather than just offering advice, collaborating with leading names in the CPG industry, tech sector, and start-up ecosystem. Recognized as a "Great Place to Work" by AIM and ranked among the "50 Best Firms for Data Scientists to Work For", we boast a seasoned consulting team of over 500 professionals across six global locations. Job Description About the Role We are in search of a BI Architect to support the BI Lead of a global CPG organization by designing an intelligent and scalable Business Intelligence ecosystem. The role involves crafting an enterprise-wide KPI dashboard suite enhanced by a GenAI-powered natural language interface for insightful exploration. Responsibilities - Architect BI Stack: Develop and supervise a scalable and efficient BI platform serving as the central source for critical business metrics across functions. - Advise BI Lead: Collaborate as a technical advisor to the BI Lead, ensuring alignment of architecture decisions with long-term strategies and business priorities. - Design GenAI Layer: Create a GenAI-driven natural language interface for BI dashboards to enable conversational querying of KPIs, trends, and anomalies by business users. - RAG/Graph Approach: Implement suitable architectures like RAG with vector stores or Knowledge Graphs to deliver intelligent, context-rich insights. - External Data Integration: Establish mechanisms for organizing and integrating data from external sources (e.g., competitor websites, industry reports) to enhance internal insights. - Security & Governance: Maintain adherence to enterprise data governance, security, and compliance standards across all layers (BI + GenAI). - Cross-functional Collaboration: Engage closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization of the BI ecosystem. Requirements Qualifications - 9 years of BI architecture and analytics platform experience, with at least 2 years focused on GenAI, RAG, or LLM-based solutions. - Profound expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. - Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). - Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is advantageous. - Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. - Experience in web scraping and structuring external/third-party datasets. - Previous exposure to CPG domain or large-scale KPI dashboarding is preferred. Benefits Joining Thoucentric as a Consultant offers: - Opportunity to shape your career path independently. - Engaging consulting environment working with Fortune 500 companies and startups. - Supportive and dynamic workplace fostering personal growth. - Inclusive culture with opportunities for bonding beyond work. - Participation in Thoucentric's growth journey. Skills Required: BI architecture, Analytics, Data Visualization Practice Name: Data Visualization Date Opened: 07/15/2025 Work Mode: Hybrid Job Type: Full time Industry: Consulting Corporate Office: Thoucentric, The Hive, Mahadevapura, Bengaluru, Karnataka, India, 560048,

We are seeking a highly motivated GenAI Engineer with a strong background in working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. As a GenAI Engineer, you will be involved in designing, building, and expanding digital products and creative applications that capitalize on the latest LLM technologies available. In this role, you will take on a lead position in product development, offering AI services to clients, facilitating client onboarding, and delivering cutting-edge AI solutions. You will collaborate with a variety of modern AI tools, cloud services, and frameworks to achieve these objectives. Your key responsibilities will include designing and implementing generative AI solutions using LLMs, NLP, and computer vision, developing and scaling digital products with LLMs at their core, leading product development and operations teams to implement GenAI-based solutions, managing client onboarding and adoption strategies, delivering enhancements based on client-specific requirements, building and maintaining RAG pipelines and LLM-based workflows for enterprise applications, overseeing LLMOps processes throughout the AI lifecycle, working with cloud-based GenAI platforms such as Azure OpenAI, Google, and AWS, implementing API integrations, orchestration, and workflow automation, as well as evaluating, fine-tuning, and monitoring the performance of LLM outputs using observability tools. The ideal candidate will possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent hands-on experience, along with a minimum of 2 years of practical experience in software development or applied machine learning. Proficiency in Azure AI services, including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning, is required. Additionally, the candidate should have proven experience with LLM APIs, hands-on experience in building and deploying RAG pipelines, proficiency in Python and its ecosystems and libraries, familiarity with core GenAI frameworks, experience with vector databases, practical knowledge of embeddings, model registries, LLM APIs, prompt engineering, tool/function calling, structured outputs, LLM observability tools, as well as strong Git, API, and cloud platform experience. This is a full-time position based in Mohali, Punjab, with on-site work mode and day shift timings from 10:00 AM to 7:00 PM, Monday to Friday. The interview mode will be face-to-face on-site, and interested candidates can contact +91-9872993778 for further information.,

As a qualified candidate for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have extensive experience in AI/ML, specifically focusing on Generative AI technologies. Demonstrated success in leading and delivering complex AI projects is essential for this position. Your expertise should include a strong understanding of GenAI frameworks, tools, and methodologies. You must exhibit excellent problem-solving skills, strategic thinking abilities, and proficient project management capabilities. Effective communication and collaboration with diverse teams and stakeholders are crucial aspects of this role. Experience with cloud platforms and AI deployments in cloud environments, with a preference for Azure, is highly desirable. Preferred skills for this role include hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, encompassing machine learning techniques and algorithms, is advantageous. You should be skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack and knowledge of client-side scripting (JavaScript and jQuery) are beneficial. Understanding ethical AI principles and implementing best practices is expected. Proficiency in programming languages such as Python, R, Java, and Regex expressions is required. Experience using requirement management tools like TFS is beneficial. Strong verbal and written communication skills are essential, along with the ability to influence peers and leadership positively.,

We are seeking a dynamic Techno-Managerial Leader with expertise in Generative AI (GenAI) and Machine Learning to spearhead a high-performing team. The ideal candidate will possess a proven track record in delivering AI/ML solutions, alongside the ability to foster innovation and effectively manage cross-functional teams. Your responsibilities will include leading and supervising a team comprising of over 10 data scientists, ML engineers, and AI developers. You will be tasked with architecting and supervising the development of GenAI and ML-based solutions, steering project execution, ensuring adherence to delivery timelines, and maintaining solution quality. Collaborating closely with business stakeholders, you will play a crucial role in translating requirements into scalable ML/AI models. Furthermore, mentoring junior team members and facilitating their skill development will be a key aspect of your role. The ideal candidate must possess substantial hands-on experience in Machine Learning, Deep Learning, and GenAI frameworks such as LLMs, RAG, LangChain, among others. Additionally, a proficient understanding of cloud platforms like AWS, GCP, or Azure is essential. Strong programming skills in Python and familiarity with ML libraries such as TensorFlow, PyTorch, and scikit-learn are prerequisites for this role. A minimum of 4 to 5 years of proven experience in team management, specifically leading a team of at least 10 members, is required. If you are enthusiastic about this opportunity and believe you have the requisite skills and experience, please share your CV with us at moumita.po@peoplefy.com.,

GenAI lead Exp: 10-14years Location: Mumbai Skills Required: AgenticAI, MCP Basic Qualifications 6+ years of professional experience in backend development and ML/GenAI engineering using Python. Strong proficiency in Python, object-oriented programming, and GenAI frameworks. Familiarity with agent communication protocols and multi-agent systems, including MCP (Multi-agent Communication Protocols). Experience with AI tools and libraries, such as Hugging Face, LangChain, or OpenAI APIs. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL, or Oracle. Proficient in version control systems such as Git. Strong problem-solving skills and attention to detail. Experience with Docker for containerization and deploying ML services. Familiarity with microservices architecture and designing scalable AI-powered applications. Familiarity with developing, training, deploying, and maintaining machine learning models, including LLMs (Large Language Models). Preferred Qualifications Generative AI: Hands-on experience and deep understanding of Generative AI technologies, including LLMs (e.g., GPT, Llama, etc.), and their applications. Expertise in prompt engineering, model fine-tuning, and evaluation of AI/ML models. Familiarity with orchestration frameworks and agent-based architectures. Experience using and integrating cutting-edge AI tools and platforms. Innovation: Ability to think creatively about applying AI/ML (including GenAI and LLMs) to drive business value and innovation, particularly within the payment technology or fintech space. Strong communication skills and experience collaborating in cross-functional teams. Knowledge of best practices for responsible AI, model monitoring, and ethical considerations in AI deployment.