30 Genrative Ai Jobs

Machine Learning, NLP, Deep Learning, GenAI LLMs, Prompt Engineering, RAG, Chatbots, GPT Python (Pandas, NumPy, Scikit-learn, XGBoost) Agentic AI, DDD, TDD, Hexagonal Architecture Terraform, Docker, REST/gRPC APIs, Git, Cloud (AWS/GCP/Azure)

Exposure To generative AI is must. Procurement Cloud Development team is looking for developers who are ready for new challenges in a fast-paced environment with experience in Java, JavaScript, REST. Job description displayed in the job posting Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products. Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience. Responsibilities displayed in the job posting Procurement Cloud is the key offering from the Oracle Applications Cloud Suite. Procurement Cloud is a fast growing division within Oracle Cloud Applications and have a variety of customers starting from a leading fast-food joint to world's largest furniture maker. Procurement Cloud Development works on different complex areas starting from a complex search engine to a time critical auctions/bidding process to core business functionalities like bulk order processing, just to name a few. As a member of our team, you will use the latest technologies, including JDeveloper, ADF, Oracle 12c Database, Oracle SQL, BPEL, Oracle Text, BC4J, web-services, and service oriented architectures (SOA). In addition to gaining this technical experience, you will also be exposed to the business side of the industry. Developers are involved in the entire development cycle, so you will have the chance to take part in activities such as working with the product management team to define the products functionality and interacting with customers to resolve issues. So are you looking to be technically challenged and gain business experience? Do you want to be part of a team of young, enthusiastic developers who know how to work and have fun at the same time? Well look no further. Join us and be the newest member of the Fusion Procurement Development! Skills/languages:: 1-8 years of experience in building Java based Applications. Good programming skills, excellent analytical/logical skills. Able to design a feature from end to end. Can think out of the box, has practical knowledge on the given technologies, can apply logic to solve a technical problem though might not have the background on the same. Should be persistent in his/her efforts. Experience in BPEL, Workflow System, ADF, REST Implementation, AI/ML, Scrum processes is a plus. Required: Java, OOPS Concepts, Spring boot, Microservices Optional: JDBC, XML, JavaScript, SQL, PL/SQL, Unix/Linux, REST, ADF, AI/ML, Scrum Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.

Hiring Now AVP, Operations Change Management Specialist | Pune Location: Pune Role: AVP Operations Change Management Specialist Experience: 12+ years (with 5 years relevant) in Data analysis, Business analysis, Project management, Transformation, Stakeholder engagement, Transformation and process optimization, Operations excellence Shift Timings: India (11 AM- 8 PM) Key Responsibilities: Lead end-to-end implementation of strategic change initiatives, with focus on operational efficiency. Collaborate with internal stakeholders, project managers, and SMEs to align changes with business goals. Design and execute change management strategies and training plans. Define and monitor KPIs to assess the effectiveness of change efforts. Support automation (including RPA) and operational modeling initiatives. Provide insights through data analysis to guide decision-making. Required Skillsets: Hands-on experience with data analysis tools SAS, SQL, Python (Generative AI Added advantage) Knowledge of Securities, FX, OTC Derivatives, or Listed F&O products Strong documentation and presentation skills Visio, SharePoint, MS Office Proven experience in stakeholder management, operational modelling , and automation support MBA (Finance) and certifications like PMP/Prince2 preferred Familiarity with tools like Blueworks Live and RPA requirements is a plus. Reach out to me at kanika@manningconsulting.in or connect on 9953939776 for more details.

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.

Key Responsibilities: Understand and analyze business requirements, technical specifications, and use cases. Design, write, and execute automated test cases for web, mobile, or API applications. Maintain and update existing automation test scripts to accommodate changes. Use tools like Selenium , Playwright , Cypress , Appium , or Postman based on the project. Debug and troubleshoot failed tests using logs and reports. Work with developers and manual testers to understand issues and verify fixes. Contribute to continuous integration/continuous deployment (CI/CD) pipeline testing. Participate in daily stand-ups, sprint planning, and retrospective meetings. Document test results clearly and escalate defects appropriately. QA of Generative AI modules and features Must-Have Skills: Basic understanding of test automation concepts and frameworks. Experience with one or more automation tools (e.g., Selenium WebDriver, TestNG, JUnit, PyTest ). Programming knowledge in Java, Python, or JavaScript . Familiarity with version control tools (Git preferred). Understanding of SDLC and STLC . Basic knowledge of REST APIs and using tools like Postman for API testing. Good-to-Have Skills: Use of Generative AI in QA QA of Generative AI features

Role & responsibilities Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc Manage small to medium-sized projects with minimal supervision. Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming Hands-on experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synaps Building Copilot agents and embedding them into systems such as Workday, Teams, etc Preferred candidate profile Bachelors or masters degree in AI, computer science, Engineering, mathematics or a related field. 2-4 years of experience in developing and deploying AI/ML solutions to production. Hands-on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity.

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

About Position: We are seeking a highly skilled Senior Python AI Developer with proven experience in Generative AI, LangChain, and data pipeline integration tools like Logstash and Elasticsearch. Role: Python AI Developer Location: Pune Experience: 4-8 Years Job Type: Full Time Employment What You'll Do: Design and implement scalable and secure AI applications using Generative AI models (e.g., GPT, Claude, LLaMA). Develop and optimize pipelines using LangChain for prompt engineering, document retrieval (RAG), and intelligent agent workflows. Build RESTful APIs to expose AI/ML services and integrate them into applications. Architect and manage data flows from structured/unstructured sources using Logstash and Elasticsearch. Index, search, and analyze large datasets using Elasticsearch and integrate them with vector embeddings. Collaborate with product, data, and ML teams to define AI application scope and deliver robust solutions. Ensure performance, scalability, and security in AI and API services. Document system architecture, workflows, and API specifications. Expertise You'll Bring: 4+ years of professional experience in Python development. Strong hands-on experience with LangChain and Generative AI architectures. Proficiency in building and consuming REST APIs. Solid understanding of Elasticsearch (indexing, querying, vector search) and Logstash for data ingestion and transformation. Experience working with LLMs (OpenAI, Cohere, Hugging Face, etc.) and building RAG (Retrieval-Augmented Generation) pipelines. Familiarity with vector stores (e.g., FAISS, Weaviate, Pinecone). Strong knowledge of software engineering principles, version control (Git), and agile methodologies. Excellent problem-solving skills, with a focus on quality and attention to detail. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Role - GenAI Expert Location - Bengaluru/Hyderabad/Noida/Gurgaon/Pune Role & responsibilities Solve real-world problems using cutting-edge LLM/GenAI/GPT technologies. Develop and deploy Python-based applications on Azure/AWS. Lead proof-of-concept to production transitions for AI/Data Science solutions. Collaborate with clients on innovative GenAI use cases. Preferred candidate profile Holds a B.Tech/BE (CS) or Masters (ML/Stats) from a Tier 1-2 institute. Strong hands-on experience with Python, SQL, and web frameworks (Flask/Django). Familiarity with frontend technologies (HTML, JavaScript, React) is a plus. Life Sciences/Pharma background? Even better! Perks and benefits Health Benefits Retirement Benefits Paid Time Off Flexible Benefits Hybrid / Full-Time Office / Remote options Inclusive environment encouraging diverse perspectives and ideas. Challenging and unique opportunities to contribute to a transforming organization. Technical challenges with global impact. Self-development support: Axtria Institute, external certifications, knowledge sharing. Sponsored Tech Talks & Hackathons. Possibilityto relocate to any Axtria office for short/long-term projects . Please note: We are looking for immediate joiners or professionals who can join on short notice. Candidates who have interviewed with us in the last 3 to 6 months are requested to skip this email.

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

Should have exp with Agen c frameworks like Crew AI, Lang, graph, Swarm AI etc. Must have contributed significantly to the development of at least 2 Gen AI projects. Must have worked with mul ple Gen AI models including GPT, Claude, Qwen, Lama etc.

Role & responsibilities Define and own the AI/ML vision and roadmap aligned with business objectives and the digital strategy of the insurance organization. Lead the design and implementation of ML, deep learning, NLP, and GenAI solutions across core business functions. Spearhead use cases such as: Intelligent claims adjudication and fraud analytics Predictive underwriting and pricing optimization Risk scoring and customer lifetime value modeling Virtual assistants and GenAI for customer engagement OCR/NLP for document automation, NER, Spacey Drive adoption of GenAI technologies (e.g., ChatGPT, LLMs, LangChain) in areas like automated policy servicing, chatbots, and document summarization. Oversee end-to-end ML lifecycle from problem framing, data preparation, model training, to deployment and monitoring. Collaborate with engineering, product, actuarial, and operations teams to embed AI models into digital platforms. Establish robust MLOps practices and ensure scalability, reproducibility, and governance of models. Evaluate and implement AI platforms and tools (e.g. Vertex AI, AWS Sagemaker, Hugging Face, Databricks). Build and lead a team of data scientists, ML engineers, and AI researchers. Stay at the forefront of emerging AI trends and regulatory considerations relevant to the insurance industry. Preferred candidate profile Experience in insurance or fintech domain, with a good understanding of insurance workflows and actuarial concepts. Exposure to AI productivity tools like Cursor.io, GitHub Copilot, or Chat GPT for enhanced development velocity. Strategic thinking combined with the ability to be hands-on when needed. Excellent leadership, stakeholder management, and communication skills. Strong understanding of data privacy, model fairness, explainability, and regulatory compliance (e.g., IRDAI). ------------------------------------------------------------------------------------------------------- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (PhD preferred). 10+ years of experience in data science or machine learning, with at least 35 years in a leadership role. Proven track record of leading AI/ML teams in regulated industries such as insurance, banking, or healthcare. Deep knowledge of machine learning, NLP, deep learning frameworks (Tensor Flow, PyTorch), and model deployment techniques. Experience deploying AI models into production at scale using cloud-native MLOps tools. Expertise in Generative AI, LLMs, Vision LLMs, and Retrieval-Augmented Generation (RAG) is a strong plus. Tech Stack Required- Python , Statistics , Machine Learning Pipelines, Natural Language Processing , LLM, MLOps ,LLMOps, GenAi, AWS, Scikit-lear, keras, Classification | Summarization | Generation | Name Entity Recognition | BIO Tagging | Transformers | CNN | RNN | LSTM | BERT ), Docker | MLflow | Grafana | Wandb | Github Actions / CircleCi / Jenkins | Terraform | Paperspace | Kubernetic |AWS ), LLM, LLMOps, VertexAi, BadRock, OpenAi.

Job Descriptions 1. Job Title: Full-Stack AI Engineering Lead Experience: 4-6 Years Location: Pune The Role: As a Full-Stack AI Engineering Lead, you will be responsible for the end-to-end design, development, and deployment of sophisticated AI-powered applications. You will work closely with AI specialists, product managers, and other developers to translate complex requirements into robust, scalable, and user-friendly solutions. This role requires a strong foundation in full-stack development, a deep understanding of AI/ML concepts (particularly LLMs and GenAI), expertise in modern deployment practices, and a proactive approach to problem-solving and technical leadership within an Agile environment. Key Responsibilities: Design, develop, test, and deploy high-quality, scalable full-stack applications integrating AI/ML models, following Agile methodologies. Collaborate on the architecture and design of our AI applications, ensuring they meet performance, security, and scalability requirements. Work extensively with Large Language Models (LLMs), Generative AI techniques, and traditional Machine Learning models, integrating them into our product offerings. Develop and maintain backend services and APIs (Python/Java preferred) and robust middleware solutions. Build responsive and intuitive front-end interfaces. Manage and optimize databases (SQL and NoSQL) to support application needs. Leverage Docker and Containerization (e.g., Kubernetes) for packaging, deploying, and scaling applications. Deploy and manage applications on cloud platforms, with demonstrated experience in Azure or AWS . Stay abreast of futuristic developments in AI, full-stack technologies, and software engineering best practices, and champion their adoption where appropriate. Lead and mentor junior developers, fostering a culture of technical excellence and continuous learning. Utilize JIRA for task management and Confluence for documentation. Contribute to project planning, estimation, and execution, demonstrating strong project management skills to ensure timely delivery. Champion the use and contribute to the evolution of our internal Purple Fabric AI platform. Must-Have Skills & Experience: 4-6 years of professional experience in full-stack software development. Proven experience in developing and deploying applications leveraging AI, LLMs, Generative AI, and Machine Learning . Strong proficiency in full-stack development, with expertise in both front-end (e.g., React, Angular, Vue.js) and back-end technologies. Expertise in Python or Java for backend development. Solid experience with database technologies (e.g., PostgreSQL, MySQL, MongoDB) including schema design and optimization. Experience developing and consuming middleware services and APIs. Proficiency with JIRA for agile development and Confluence for technical documentation. Demonstrable project management skills , including planning, execution, and risk management. Hands-on experience with Docker and Containerization technologies (e.g., Kubernetes). Proven experience with deploying and managing applications on cloud platforms, specifically Azure or AWS . Demonstrated experience working in an Agile development environment. Excellent problem-solving, analytical, and communication skills. Ability to quickly learn and adapt to new technologies and platforms, including our in-house Purple Fabric AI platform. A proactive mindset, with a passion for innovation and staying ahead of futuristic developments in AI and software. Nice-to-Haves: Experience with specific Azure or AWS services relevant to AI/ML and application hosting. Knowledge of advanced Kubernetes concepts and management. Contributions to open-source projects or a strong portfolio of personal projects. 2. Job Title: Full-Stack AI Engineer Experience: 2-3 Years Location: Pune The Role: As a Full-Stack AI Engineer, you will be involved in the entire software development lifecycle, from concept and design to development, testing, and deployment of AI-driven applications using Agile practices. You will collaborate with senior developers and AI specialists to build features, integrate AI models, and ensure our applications are robust and user-friendly. This is an excellent opportunity for a developer passionate about both full-stack engineering, modern deployment techniques, and the cutting edge of AI. Key Responsibilities: Develop, test, and maintain full-stack applications, with a focus on integrating AI/ML functionalities, working within an Agile framework. Work with AI technologies including LLMs, Generative AI, and Machine Learning models under the guidance of senior team members. Contribute to the development of backend services and APIs using Python or Java . Assist in building and refining front-end components for our applications. Support database management and middleware integration tasks. Utilize Docker for Containerization of applications and assist in deployment processes. Gain hands-on experience with cloud services on Azure or AWS for application deployment and management. Actively learn about and apply futuristic developments in AI and software engineering. Utilize JIRA for tracking development tasks and Confluence for accessing and contributing to documentation. Participate in project planning and execution, developing project management skills and contributing to team goals. Get hands-on experience with our internal Purple Fabric AI platform and contribute to its application. Must-Have Skills & Experience: 2-3 years of experience in full-stack software development. Solid understanding and hands-on experience with AI concepts, including LLMs, Generative AI, and Machine Learning . Proficiency in full-stack development, including front-end and back-end technologies. Strong programming skills in Python or Java . Experience with database technologies (SQL or NoSQL). Familiarity with middleware concepts and API development/consumption. Working knowledge of JIRA and Confluence . Experience working with Docker and an understanding of Containerization principles. Familiarity with cloud platforms, specifically Azure or AWS , and basic deployment concepts. Experience or strong understanding of Agile development methodologies. Developing project management skills with an ability to manage tasks and contribute to project timelines. A strong desire to learn and keep up-to-date with futuristic developments in the AI field. Eagerness to learn and work with the Purple Fabric AI platform. Good communication and teamwork skills. Nice-to-Haves: Experience with a modern front-end framework (e.g., React, Angular, Vue.js). Experience with CI/CD tools. Exposure to Kubernetes.

Key Responsibilities: 10+ years - Architect to design scalable, production-grade AI/ML systems and data pipelines. Collaborate with stakeholders to identify and scope use cases for machine learning, deep learning, NLP, and computer vision. Lead the selection and implementation of AI/ML frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, Scikit-learn). Guide teams in model development, training, evaluation, deployment, and monitoring in production environments. Define MLOps strategy for CI/CD, model versioning, retraining, and governance. Ensure solutions are optimized for performance, scalability, security, and compliance. Work closely with data engineers to ensure robust data pipelines, feature stores, and data quality standards. Serve as an AI thought leader within the organization, mentoring engineers and promoting best practices. Evaluate new AI technologies and platforms to drive innovation and maintain competitive advantage. Contribute to documentation, standards, and architecture governance.

Required Qualifications, Capabilities, and Skills: Solid understanding of backend performance optimization and debugging. Formal training or certification on software engineering concepts and proficient applied experience • Strong hands-on experience with Python Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration .Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience.

Project Role: Senior AI/ML Manager Work Experience: 8 to 14 Years Work location: Bengaluru/Kochi Must Have Skills: Machine Learning, NLP, Deep Learning, AI, Python, GenAI. Job Description Develop/leverage fit for purpose AIML models/algorithms/foundation models/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 10+ years of experience in engineering roles with team management experience 6-8 relevant years experience on NLP,GenAI/LLM, Machine Learning and Deep learning 6-8 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Extensive knowledge in leveraging GenAI/LLM for developing innovative solutions to complex business problems. Solid understanding of LLMs, including fine-tuning methodologies and deployment strategies. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Extend ML libraries and frameworks to apply in NLP tasks. Demonstrated experience in writing effective, scalable, and maintainable code Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Must have experience working with REST APIs, and frameworks like Flask API and Fast API. Experience with Django or Pyramid framework is a good to have Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Architect with 10+ Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Key Responsibilities Collaborate with clients to understand AI project needs and define measurable success metrics Design end-to-end Generative AI solutions with a focus on performance, security, and ethical AI Develop models using GANs, VAEs, NLP transformers , and other generative techniques Implement AI solutions utilizing cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, LangChain, Semantic Kernels) Ensure compliance with Responsible AI and Data Privacy principles, mitigating bias and ensuring ethical AI practices Work alongside engineers and data scientists to integrate and optimize AI models into real-world applications Conduct performance monitoring, troubleshooting, and continuous improvements for AI systems Stay updated with AI advancements and share knowledge with internal teams Your Profile Primary Skills Expertise in Generative AI techniques, including image generation, text synthesis, and function calling Strong understanding of AI/ML algorithms, cloud computing, NLP, and computer vision Proficiency in data science tools (NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras) Solid grasp of Responsible AI, fairness in algorithms, and bias mitigation strategies Excellent communication and solution design skills , capable of translating business needs into technical AI architectures. Secondary Skills Knowledge of industry-specific AI applications (healthcare, finance, manufacturing, etc.) Basic project management abilities to oversee timelines and deliverables Foundational data preprocessing and quality assurance expertise

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Consultant with 9+ Years of IT industry experience in which 2/3 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Key Responsibilities Collaborate with clients to understand AI project needs and define measurable success metrics Design end-to-end Generative AI solutions with a focus on performance, security, and ethical AI Develop models using GANs, VAEs, NLP transformers , and other generative techniques Implement AI solutions utilizing cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, LangChain, Semantic Kernels) Ensure compliance with Responsible AI and Data Privacy principles, mitigating bias and ensuring ethical AI practices Work alongside engineers and data scientists to integrate and optimize AI models into real-world applications Conduct performance monitoring, troubleshooting, and continuous improvements for AI systems Stay updated with AI advancements and share knowledge with internal teams Your Profile Primary Skills Expertise in Generative AI techniques, including image generation, text synthesis, and function calling Strong understanding of AI/ML algorithms, cloud computing, NLP, and computer vision Proficiency in data science tools (NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras) Solid grasp of Responsible AI, fairness in algorithms, and bias mitigation strategies Excellent communication and solution design skills , capable of translating business needs into technical AI architectures. Secondary Skills Knowledge of industry-specific AI applications (healthcare, finance, manufacturing, etc.) Basic project management abilities to oversee timelines and deliverables Foundational data preprocessing and quality assurance expertise

Seeking Senior QA Engineer to ensure the quality, reliability, and security of our cloud-native GenAI governance framework. Must develop and maintain automated tests (e.g., Cypress, Playwright, Selenium) for SaaS environments. Required Candidate profile Cloud-native architectures & GenAI workflows. Practical exp. with leading cloud platforms (AWS, Azure, or GCP) & (Docker, Kubernetes). Test automation frameworks (e.g., Cypress, Playwright, Selenium).

Responsibilities: * Collaborate with IT teams on project requirements and deliverables. * Design, develop, test & maintain ServiceNow applications using GenRative AI.

Lead - Data Scientist About the Role: We are seeking a highly skilled and GCP-certified AI/ML Engineer with expertise in Generative AI models , Natural Language Processing (NLP) , and cloud-native development . This role involves designing and deploying scalable ML solutions, building robust APIs, and integrating AI capabilities into enterprise applications. The ideal candidate will also have a solid background in software engineering and DevOps practices. Key Responsibilities: Design, develop, and implement GenAI and NLP models using Python and relevant libraries (Transformers, LangChain, etc.) Deploy ML models and pipelines on GCP (Vertex AI, BigQuery, Cloud Functions) and Azure ML/Azure Services Develop and manage RESTful APIs for model integration Apply ML Ops and CI/CD best practices using tools like GitHub Actions, Azure DevOps, or Jenkins Ensure solutions follow software engineering principles , including modularity, reusability, and scalability Work in Agile teams, contributing to sprint planning, demos, and retrospectives Collaborate with cross-functional teams to define use cases and deliver PoCs and production-ready solutions Optimize performance and cost efficiency of deployed models and cloud services Maintain strong documentation and follow secure coding and data privacy standards Required Skills: Strong programming skills in Python with experience in ML & NLP frameworks (e.g., TensorFlow, PyTorch, spaCy, Hugging Face) Experience with Generative AI models (OpenAI, PaLM, LLaMA, etc.) Solid understanding of Natural Language Processing (NLP) concepts like embeddings, summarization, NER, etc. Proficiency in GCP services Vertex AI, Cloud Run, Cloud Storage, BigQuery (GCP Certification is mandatory) Familiarity with Azure ML / Azure Functions / Azure API Management Experience in building and managing REST APIs Hands-on with CI/CD tools and containerization (Docker, Kubernetes is a plus) Strong grasp of software engineering concepts and Agile methodology Preferred Qualifications: Bachelors or Master’s in Computer Science, Data Science, or related field Experience working with cross-platform AI integration Exposure to LLM Ops / Prompt Engineering Certification in Azure AI Engineer or Azure Data Scientist is a plus Location: Chennai, Coimbatore, Pune, Bangalore Experience : 8 -12 Years Interested candidates please share your updated CV to deepshikha.mahato@kanini.com

Primary Skills ITSM automation SME, conversational AI architects and consultants RPA automation, self-healing solutions architects and consultants Observability tools (APM and infra) SMEs AI Ops architects and consultants L3 solutions architects and consultants CloudOps / FinOps consultants AI architects, Agentic AI SMEs Role and Responsibilities Hands on experience on ITSM automation, should have worked as SME, conversational AI architects and consultants. have the working experience with L3 solutions architects on Gen AI driven impact analysis, Gen AI driven code generation Excellent problem solving/analytical skills and complex troubleshooting methods. Excellent presentation, verbal, and written communication skills. Good and adaptable with : ITSM, ServiceNow (interchangeable with SNOW), NowAssist, BMC Helix, BMC Remedy, BMC Helix RemedyForce

Design develop & deploy web app using Next.js & modern frameworks Integrate & utilize LLM or Gen AI APIs Build resp UI/UX & dynamic pages with SSR & SSG using Next.js. Collab with data scientists AI engineers & UX/UI designers to bring AI features Required Candidate profile 3–6+ yrs of exp in full stack or front-end developer. Proficiency in Next.js, React.js JavaScript/TypeScript. Exp in working with LLMs integrating GenAI tools/APIs in real world app

Senior Data Scientist About the Role: We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services. The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions. Key Responsibilities: Design and develop ML, NLP, and GenAI models to solve complex business problems. Build, train, and optimize AI models using Python and relevant ML frameworks. Implement Azure AI/ML services for scalable deployment of models. Develop and integrate APIs for real-time model inference and decision-making. Work with large-scale data to extract insights and drive strategic initiatives. Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams, to integrate AI/ML solutions into applications. Implement CI/CD pipelines to automate model training, deployment, and monitoring. Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects. Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms. Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions. Provide technical mentorship and guidance to junior data scientists. Optimize model performance and scalability in a production environment. Required Skills & Qualifications: Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, including transformers, embeddings, and text processing. Expertise in Generative AI models (GPT, BERT, LLMs, etc.). Strong knowledge of Azure AI/ML services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Experience in developing APIs for model deployment and integration. Familiarity with CI/CD pipelines for AI/ML models. Strong understanding of software engineering principles and best practices. Experience working in an Agile development environment. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong background in statistical analysis, data mining, and data visualization. Location: Chennai, Coimbatore, Pune, Bangalore Interested candidates please share your updated CV to deepshikha.mahato@kanini.com

About Everest Group Everest Group is a research firm focused exclusively on IT, business process, and engineering services this specialization results in a depth of expertise that our clients find invaluable when making critical, strategic decisions related to their use and delivery of sourcing services. The Global 1000 the largest and most complex companies of the world use our services to guide their journeys to achieve heightened operational and financial performance, accelerated value delivery, and high-impact business outcomes. Founded in 1991, we serve clients around the world. For more information, visit www.everestgrp.com Everest Group is with you on the journey. We are committed to empowering team members to develop their potential, share their authentic selves, and inclusively engage. This means we continually celebrate the diverse journeys different individuals cultivate. We hire great people from a wide variety of backgrounds, not just because it is the right thing to do, but because it makes our company stronger. If you share our values and enthusiasm for solving challenges, you will find a home at Everest Group. Job overview As part of the Business Operations & Technology (BOT) team, the Developer will lead the design, development, and implementation of automation and AI-based solutions, including those powered by Large Language Models (LLMs). The ideal candidate should have a strong background in Python, gen AI, and business process automation, and will work closely with cross-functional teams to drive digital transformation across the organization. Key responsibilities Collaborate with cross-functional teams to understand business needs and identify automation opportunities Develop and deploy custom GPTs and other generative AI tools, including agents, to support internal productivity use cases Fine-tune Large Language Models (LLMs) and optimize prompt engineering strategies for specific business applications Design and implement automation workflows for tasks such as Excel reporting, PowerPoint creation, etc. Everest Group complies with the GDPR, CCPA/CPRA and other data protection regulations. For more information on how Everest Group processes your personal information, please read our Privacy Notice (www.everestgrp.com/privacy-noticefor-applicants-employees-and-contractors/). By submitting this application, you indicate that you have read and understand our privacy terms and consent to the processing of your personal information by us. To exercise your data subject rights under GDPR, CCPA/CPRA you can fill in our form available at Data Rights Everest Group (everestgrp.com). You can email your data protection request to privacy@everestgrp.com. Everest Group is an equal opportunity employer. We have a culture of inclusion, and we provide equal opportunities for all applicants and employees, including those with disabilities. We are committed to providing an environment that is free of all discrimination and harassment and to treating all individuals with respect. Integrate internal tools with third-party platforms (e.g., Salesforce, SharePoint, Zoho, ADP, OneDrive) using APIs or automation frameworks Maintain and monitor deployed solutions, ensuring high availability, scalability, and user adoption Stay current with advancements in AI and automation technologies to continuously improve Everest Groups internal tech landscape Skills & activities Proficiency in Python for scripting and automation tasks Strong understanding of LLMs, prompt engineering, and the OpenAI ecosystem including API connections Experience with VBA for Excel automation and macros Working knowledge of REST APIs and how to integrate with other systems like Salesforce, SharePoint, Zoho, ADP, and OneDrive Familiarity with SQL and cloud-based platforms is a plus Experience with developing AI agents is a plus Experience with Jira and custom GPTs is a plus Ability to work independently and in collaboration with diverse teams Strong problem-solving mindset with attention to both technical detail and business impact Clear and effective communication skills, both written and verbal Education & experience Bachelors degree or diploma in Computer Science, Information Systems, or related fields Minimum 3 years of experience in software or automation development, with at least 12 years focused on AI/LLM-based implementations