4225 Openai Jobs - Page 50

AI/ML Lead Experience : 8+ Yrs Relevant Exp : 5+ Years Location : Remote Duration : 6 months & extendable Work Timings: 10 am to 7 pm IST Industry/Domain: Medical Budget : up to 1.1L per month Job Overview: AI/ML Lead We are seeking a dynamic and technically strong AI Lead with 6–8 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsoft’s AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry. The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions. Mandatory Skills Required: • 5+ years in AI/ML or Conversational AI • Azure ML / Cognitive Services / AI Foundry • Experience with LLMs, NLP (GPT, BERT) • Integration with Microsoft Graph, REST APIs • Prompt engineering, fine-tuning • RAG architecture, embeddings, vector DBs • Azure OpenAI Services & APIs • M365 Copilot APIs / Plugin development • Microsoft Copilot Studio • Python/Node.js coding & orchestration • Microsoft Bot Framework (SDK, Composer) • Good to have CI/CD, Azure DevOps, containerization (Docker/K8s) Must Have Skills: • 6–8 years of overall experience, including 5+ years in AI/ML or Conversational AI • Deep hands-on knowledge of: • Azure OpenAI services and APIs • Copilot Studio for building Microsoft 365-integrated assistants • Microsoft Bot Framework SDK/Composer for chatbot development • Prompt engineering for LLM optimization • Strong Python or Node.js development skills (for AI orchestration and integration) • Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) • Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps • Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) • Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) • Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: • Experience with Semantic Kernel or LangChain. • Working knowledge of AI Foundry for orchestrating AI pipelines. • Familiarity with Copilot extensibility and Teams App Studio. • Exposure to M365 Copilot APIs and custom plugin creation. • Knowledge of Responsible AI, data security, and compliance principles. • Familiarity with containerized deployment (Docker, Kubernetes). • Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance. • Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI. Key Responsibilities : • Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework. • Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365. • Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems. • Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization. • Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.). • Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps. • Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines. • Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences. • Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring. • Create documentation and reusable components/templates for repeated use across the organization. • Stay current on Microsoft’s AI advancements and recommend tools, features, or practices that improve time-to-value and performance. • Design, build and maintain automated unit and integration tests • Support healthy system operations and ensure high levels of availability are achieved. Be part of the on-call rotation during business hours NOTE Copilot, Azure, Microsoft bot framework experience must, and other Mandatory Skills are mentioned in the JD. Make sure every skill mentioned in the resume as well (Overall Summary, Technical Skillsets Table, Projects)

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Grurugram for our hybrid working model. Position Expectations Be a part of and mentor agile teams as a senior developer, focusing on end-to-end migration of enterprise-grade Java applications using SQL-based databases to modern, cloud-based MongoDB architectures Pioneer the use of GenAI technologies to overcome complex migration challenges, bringing creativity to adopt the latest tools and approaches for each unique project Analyze existing SQL-based architectures, including extensive work with stored procedures, system design, and enterprise integration, and design optimal solutions to modernize and streamline applications Collaborate with stakeholders across technical and business units, serving as a strategic advisor for enterprise clients Guide and mentor junior team members, providing direction and fostering a collaborative team environment Showcase advanced debugging skills, identifying and resolving technical issues promptly, even in high-stakes environments Technical Skills And Requirements 7-10 years of software development experience, with strong proficiency in Java, including multithreading, AOP, and enterprise-grade frameworks such as Spring Boot and/or Quarkus Previous direct exposure to enterprise grade systems is a must Expertise in relational databases, particularly in SQL, stored procedures, and ORM tools like JPA and Hibernate Extensive experience with system design, microservices architectures, and Domain-Driven Design approaches Demonstrated history of delivering high-cadence applications through Agile methodologies, TDD, CI/CD pipelines, and Git version control Excellent skills in stakeholder management, with proven success leading teams and collaborating cross-functionally Familiarity with Python and JavaScript (Node.js) is a plus Bonus Skills Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP Knowledge of containerization and orchestration tools like Docker and Kubernetes Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects Key Competencies Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices Additional Considerations Due to the highly regulated nature of our industry, successful candidates may undergo enhanced background checks and security screenings. MongoDB is committed to providing a supportive, enriching work environment with a focus on employee wellbeing and growth. Why MongoDB? Join us in transforming the way enterprises manage and scale data. MongoDB provides a dynamic workplace culture with employee affinity groups, fertility assistance, and generous parental leave policies, ensuring an inclusive experience. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. **MongoDB is an equal opportunities employer.** Requisition ID 325157

Position Azure Cloud Architect Job Description Arrow Electronics is seeking a Microsoft Azure Architect to join our Cloud Engineering team at our Bangalore, India facility. The Cloud Engineer will provide technical expertise in the IAAS/PAAS/SAAS Public Cloud domain in addition to facilitating project management cycles while working directly with Arrow's internal application services group. In this role, the Engineer will maintain a high level of technical aptitude in cloud and hybrid cloud solutions while also displaying a proven ability to communicate effectively and offer excellent customer service. What You Will Be Doing Azure Networking & Troubleshooting: Expertise in Private DNS Zones, Private Endpoints, ExpressRoute, and BGP routing, with strong troubleshooting skills. Azure Best Practices: Design and implement scalable, secure, and cost-effective solutions following Azure best practices. Landing Zones: Architect and implement Azure Landing Zones for streamlined governance and secure cloud adoption. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform and Azure DevOps (ADO) pipelines. Azure Kubernetes Service (AKS): Design, manage, and secure AKS clusters, including Helm and GitOps workflows (e.g., ArgoCD, Flux). API Management: Manage Azure API Management (APIM) for secure API exposure, OAuth, Managed Identities, and API security best practices. CI/CD Pipelines: Develop and manage CI/CD pipelines through Azure DevOps for infrastructure and API automation. Security & Identity: Implement RBAC, Azure Entra ID, B2C, and External ID, and enforce Zero Trust security models. Data & AI Services (Preferred): Work with Databricks, Machine Learning via AKS, and Azure OpenAI Services. Security Automation: Implement automated security remediations, Wiz integrations, and governance policies. WAF/CDN Solutions: Work on solutions like Akamai and Azure Front Door for enhanced security and performance. Leadership & Mentorship: Mentor teams, drive cloud automation initiatives, and encourage certifications in Azure and AWS. RESTful APIs: Strong understanding of RESTful APIs and API Management operational mechanisms. Cost Optimization: Evaluate workload placements based on cost, performance, and security. Troubleshooting: Skilled in resolving issues, retrieving logs, and utilizing Application Insights for performance optimization. Soft Skills: Strategic thinker with excellent problem-solving, leadership, and communication skills. What We Are Looking For Lead effort to plan, engineer, and design the infrastructure as well as lead the effort to evaluate, recommend, integrate and coordinate enhancements to the infrastructure. Work with IT Architects to ensure that modified infrastructure interacts appropriately, data conversion impacts are considered, and other areas of impact are addressed and meet performance requirements of the project. Lead effort to develop and configure the infrastructure from conceptualization through stabilization using various computer platforms. Lead effort to implement the infrastructure by analyzing the current system environment and infrastructure, using technical tools and utilities, performing complex product customization, and developing implementation and verification procedures to ensure successful installation of systems hardware/software. Lead routine infrastructure analysis, and evaluation on resource requirements necessary to maintain and/or expand service levels. Providing cost estimates for new projects Collaborating in the creation work/design documents with team assistance. Performing "light" project management for on-boarding requests, collaborating with teams on scheduling actions and following change control processes. Assisting in show-back/charge back documentation and reports. Prior experience supporting Microsoft and/or Linux operating systems in a corporate environment on or off premise required. Prior experience designing/supporting IAAS infrastructure in a public cloud strongly preferred. Prior Knowledge of Azure Active Directory, Conditional Access, PowerBI a plus. Prior experience with Azure IAAS, PAAS, Networking and security a plus. Innovative self starter willing to learn, test, implement new technologies on existing and new public cloud providers. Experience / Education Typically requires 12 plus years of related experience with a 4 year degree; or 3 years and an advanced degree; or equivalent work experience. Arrow Electronics, Inc. (NYSE: ARW), an award-winning Fortune 133 and one of Fortune Magazine’s Most Admired Companies. Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2024 sales of USD $28.1 billion, Arrow develops technology solutions that improve business and daily life. Our broad portfolio that spans the entire technology landscape helps customers create, make and manage forward-thinking products that make the benefits of technology accessible to as many people as possible. Learn more at www.arrow.com. Our strategic direction of guiding innovation forward is expressed as Five Years Out, a way of thinking about the tangible future to bridge the gap between what's possible and the practical technologies to make it happen. Learn more at https://www.fiveyearsout.com/. Location: IN-KA-Bangalore, India (SKAV Seethalakshmi) GESC Time Type Full time Job Category Information Technology

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Digital Engineering – NCLC - M365 Copilot Developer The opportunity We are seeking resources with expertise in the M365 Suite, particularly in M365 CoPilot development, extended configurations, and integrations, along with experience in Azure Open AI / GenAI and related technologies. These professionals will join our Digital Engineering Consulting team. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your key responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes 4-6 years development in O365 / M365 6-12 months of hands-on experience with Microsoft 365 Copilot. (must have) Core Copilot Skills: Configure / customize robust AI solutions using Microsoft's Copilot Studio, M365 Copilot. Experience in creating custom agents. Develop Declarative Agents to extend the capabilities of M365 Copilot. Integrate Power Platform (Power Automate, Power Apps, Power BI) for automation and custom apps. Leverage Azure services (Functions, OpenAI, etc.) for scalable Copilot solutions. Craft effective prompts to guide AI models and optimize their performance. Ability to work on integration of services using Power Automate Cloud flows and Azure functions, Azure APIM. Strong expertise on Microsoft Copilot studio. Core Microsoft 365 Skills: Microsoft 365 Suite: Deep understanding of core applications like Word, Excel, PowerPoint, Outlook, Teams, SharePoint, OneDrive, and Power BI. Microsoft Graph API: Proficiency in using Graph API to access and manipulate data across various Microsoft 365 services. Power Platform: Knowledge of Power Apps, Power Automate, and Power BI for building custom solutions and automating workflows. AI and Machine Learning: (optional) AI Fundamentals: Understanding of AI concepts, machine learning, and natural language processing. Prompt Engineering: Ability to craft effective prompts to guide the AI model and generate desired outputs. AI Frameworks: Knowledge of AI Frame works such as Lang Chain. Model Training and Fine-tuning: Knowledge of training and fine-tuning AI models for specific use cases. Development and Engineering: (Must have) Programming Languages: Proficiency in languages like C#, Python, JavaScript, and TypeScript. Web Development: Experience with HTML, CSS, and JavaScript frameworks like React or Angular. Azure Functions and Logic Apps: Knowledge of serverless computing and workflow automation. Azure DevOps: Understanding of CI/CD pipelines and DevOps practices. Soft Skills: Problem-solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Communication Skills: Effective communication with both technical and non-technical stakeholders. Collaboration: Working effectively in cross-functional teams. Adaptability: Staying updated with the latest trends and technologies. Customer Focus: Understanding client needs and delivering solutions that meet their requirements. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-6 years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Digital Engineering – NCLC - M365 Copilot Developer The opportunity We are seeking resources with expertise in the M365 Suite, particularly in M365 CoPilot development, extended configurations, and integrations, along with experience in Azure Open AI / GenAI and related technologies. These professionals will join our Digital Engineering Consulting team. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your key responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes 4-6 years development in O365 / M365 6-12 months of hands-on experience with Microsoft 365 Copilot. (must have) Core Copilot Skills: Configure / customize robust AI solutions using Microsoft's Copilot Studio, M365 Copilot. Experience in creating custom agents. Develop Declarative Agents to extend the capabilities of M365 Copilot. Integrate Power Platform (Power Automate, Power Apps, Power BI) for automation and custom apps. Leverage Azure services (Functions, OpenAI, etc.) for scalable Copilot solutions. Craft effective prompts to guide AI models and optimize their performance. Ability to work on integration of services using Power Automate Cloud flows and Azure functions, Azure APIM. Strong expertise on Microsoft Copilot studio. Core Microsoft 365 Skills: Microsoft 365 Suite: Deep understanding of core applications like Word, Excel, PowerPoint, Outlook, Teams, SharePoint, OneDrive, and Power BI. Microsoft Graph API: Proficiency in using Graph API to access and manipulate data across various Microsoft 365 services. Power Platform: Knowledge of Power Apps, Power Automate, and Power BI for building custom solutions and automating workflows. AI and Machine Learning: (optional) AI Fundamentals: Understanding of AI concepts, machine learning, and natural language processing. Prompt Engineering: Ability to craft effective prompts to guide the AI model and generate desired outputs. AI Frameworks: Knowledge of AI Frame works such as Lang Chain. Model Training and Fine-tuning: Knowledge of training and fine-tuning AI models for specific use cases. Development and Engineering: (Must have) Programming Languages: Proficiency in languages like C#, Python, JavaScript, and TypeScript. Web Development: Experience with HTML, CSS, and JavaScript frameworks like React or Angular. Azure Functions and Logic Apps: Knowledge of serverless computing and workflow automation. Azure DevOps: Understanding of CI/CD pipelines and DevOps practices. Soft Skills: Problem-solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Communication Skills: Effective communication with both technical and non-technical stakeholders. Collaboration: Working effectively in cross-functional teams. Adaptability: Staying updated with the latest trends and technologies. Customer Focus: Understanding client needs and delivering solutions that meet their requirements. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-6 years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Line of Service Tax Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decision-making for clients. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : We are seeking a highly skilled and passionate Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will be responsible for developing, implementing, and optimizing cutting-edge generative models to create innovative solutions in the area of content creation, document processing, code generation, etc. You will work closely with product managers to translate research into impactful products and services. Responsibilities: As an AI Engineer with experience of 3 to 4 years, you will be responsible for providing technical solution to Business problem. You need to deliver solutions with right quality on right time and with optimum cost. Model Development and Implementation: Strong understanding of deep learning concepts and techniques, particularly in generative models. Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc. Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. Proficiency in programming languages such as Python. Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Proven experience in developing and deploying generative AI models. Experience with large-scale data processing and analysis. Experience working with different data modalities (e.g., images, text, audio). Model Development and Implementation: Design, develop, and train state-of-the-art generative models (e.g., GANs, VAEs, Transformers, Diffusion Models) for various applications. Implement and optimize deep learning architectures for efficient training and inference. Experiment with different model architectures, hyperparameters, and training techniques to improve performance. Collect, clean, and preprocess large datasets for training generative models. Evaluation and Optimization: Evaluate the performance of generative models using appropriate metrics and benchmarks. Identify and address performance bottlenecks and improve model efficiency. Conduct thorough testing and validation to ensure model reliability and robustness. Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. Stay up-to-date with the latest advancements in generative AI and deep learning. Deployment and Maintenance: Deploy trained models to production environments. Monitor model performance and maintain model stability. Troubleshoot and resolve issues related to model deployment and performance. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Passion for innovation and continuous learning. Mandatory Skill Sets: Gen AI Engineer Preferred Skill Sets: Gen AI Engineer Years Of Experience Required: 3 to 7 Yrs Education Qualification: B.Tech/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Active Listening, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

5 - 7 Years 1 Opening Bangalore, Chennai, Kochi, Trivandrum Role description Please find job description below; Key Responsibilities: Lead AI/ML project implementation, from data collection and model development to deployment and optimization. Create, customize, and deploy Custom GPTs tailored to specific business needs and real-world use cases. Integrate OpenAI technologies, including Custom GPTs, into company systems to enhance automation and decision-making processes. Develop and deploy predictive models and machine learning algorithms to address real-world challenges in the real estate sector. Collaborate with cross-functional teams to design AI-driven products and provide data-driven insights to guide business strategy. Required Qualifications: 5+ years of experience in Data Science, Machine Learning, and AI project implementation, with a strong ability to deploy models in production environments. Proven expertise in integrating OpenAI technologies, including developing and deploying Custom GPTs for business applications. Strong proficiency in programming languages such as Python or R, with experience in machine learning libraries such as TensorFlow, PyTorch, and other related tools. Solid experience with cloud platforms (AWS, GCP, Azure) and knowledge of data pipelines, MLOps tools (e.g., Docker, Kubernetes), and machine learning deployment processes. Strong understanding of Natural Language Processing (NLP), deep learning models, and data analytics, with a plus for experience in real estate industry applications. Skills Gen AI,Nlp,Sql,Machine Learning About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Digital Engineering – NCLC - M365 Copilot Developer The opportunity We are seeking resources with expertise in the M365 Suite, particularly in M365 CoPilot development, extended configurations, and integrations, along with experience in Azure Open AI / GenAI and related technologies. These professionals will join our Digital Engineering Consulting team. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your key responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes 4-6 years development in O365 / M365 6-12 months of hands-on experience with Microsoft 365 Copilot. (must have) Core Copilot Skills: Configure / customize robust AI solutions using Microsoft's Copilot Studio, M365 Copilot. Experience in creating custom agents. Develop Declarative Agents to extend the capabilities of M365 Copilot. Integrate Power Platform (Power Automate, Power Apps, Power BI) for automation and custom apps. Leverage Azure services (Functions, OpenAI, etc.) for scalable Copilot solutions. Craft effective prompts to guide AI models and optimize their performance. Ability to work on integration of services using Power Automate Cloud flows and Azure functions, Azure APIM. Strong expertise on Microsoft Copilot studio. Core Microsoft 365 Skills: Microsoft 365 Suite: Deep understanding of core applications like Word, Excel, PowerPoint, Outlook, Teams, SharePoint, OneDrive, and Power BI. Microsoft Graph API: Proficiency in using Graph API to access and manipulate data across various Microsoft 365 services. Power Platform: Knowledge of Power Apps, Power Automate, and Power BI for building custom solutions and automating workflows. AI and Machine Learning: (optional) AI Fundamentals: Understanding of AI concepts, machine learning, and natural language processing. Prompt Engineering: Ability to craft effective prompts to guide the AI model and generate desired outputs. AI Frameworks: Knowledge of AI Frame works such as Lang Chain. Model Training and Fine-tuning: Knowledge of training and fine-tuning AI models for specific use cases. Development and Engineering: (Must have) Programming Languages: Proficiency in languages like C#, Python, JavaScript, and TypeScript. Web Development: Experience with HTML, CSS, and JavaScript frameworks like React or Angular. Azure Functions and Logic Apps: Knowledge of serverless computing and workflow automation. Azure DevOps: Understanding of CI/CD pipelines and DevOps practices. Soft Skills: Problem-solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Communication Skills: Effective communication with both technical and non-technical stakeholders. Collaboration: Working effectively in cross-functional teams. Adaptability: Staying updated with the latest trends and technologies. Customer Focus: Understanding client needs and delivering solutions that meet their requirements. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-6 years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

We're Hiring: Join Our Unified AI Web Development Team Location: On-site [Coonoor, The Nilgiris] Employment Type: Full-Time Salary: Based on experience and role Experience: 3+ Years in relevant roles About Us At FingerLinks Infotech LLP , we’re building intelligent web platforms powered by cutting-edge AI. Our mission is to merge advanced machine learning with seamless user experiences to solve real-world challenges. If you're passionate about building smart, scalable, and user-friendly applications— we want you on our team. We’re currently hiring across several core roles in our AI-Powered Web Development Team : 1. Front-End Developer (Web UI Engineer) Skills: HTML, CSS, JavaScript, React / Vue / Next.js, Tailwind CSS Key Responsibilities: Develop responsive UI components and layouts Integrate real-time AI features into web interfaces Collaborate with AI developers on smart frontend integration 2. Back-End Developer (Web + AI Integration) Skills: Node.js, Python (Flask/FastAPI), REST APIs, SQL, MongoDB Key Responsibilities: Build and maintain APIs for AI models Manage data, sessions, and authentication Work with data scientists to ensure smooth AI deployment 3. UI/UX Designer (AI Web Experiences) Skills: Figma, Adobe XD, Wireframing, User Testing Key Responsibilities: Design intuitive and accessible web interfaces Create user flows for AI-driven applications Collaborate with frontend developers to deliver designs in code 4. AI Software Developer (AI-Enabled Features) Skills: Python, JavaScript, OpenAI API, Hugging Face, LangChain Key Responsibilities: Integrate machine learning models into web products Develop intelligent features like chatbots, summarizers, or AI-based search Optimize prompt engineering and AI workflows What We Offer Competitive salary based on experience Flexible working hours Opportunity to work with the latest AI technologies Creative, fast-paced team environment Career growth in AI-integrated product development How to Apply Submit your resume along with: ✔Portfolio or GitHub link ✔ Role you're applying for (e.g., "Front-End Developer") ✔A short note about your experience with AI/web development Email: hr@fingerlinksinfotech.com WhatsApp: +91 9150074124 Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Work Location: In person

Job Information: Work Experience : 4-5 years Industry : IT Services and Consulting Job Type : Full Time, Permanent Location : Noida Job Responsibilities: Build and maintain full-stack web applications using React.js, Next.js, Node.js, TypeScript, and Python. Integrate AI models (OpenAI, Claude) and work on AI chat interfaces Use prompt engineering techniques to improve AI responses and user experiences Leverage AI-native tools like Cursor, Replit, Copilot, and Tannine to write and review clean, maintainable code Work with LangChain, AutoGen, or Manus frameworks for advanced AI workflows Collaborate with cross-functional teams including designers, backend developers, and AI engineers Actively participate in sprint planning and discussions with business stakeholders Optimize performance and scalability using best practices and modern DevOps tools Ship features quickly using platforms like Vercel, Supabase, Railway, and n8n Skill & Abilities: 5-6 years of hands-on experience in full stack development Strong hands-on experience with React.js, Next.js for frontend, and Node.js, Express for backend development. Proficiency in working with PostgreSQL databases and hosted solutions like Supabase. Experience integrating and working with AI/LLM APIs such as OpenAI (ChatGPT) and Claude, along with familiarity with frameworks like LangChain, AutoGen, or Manus. Comfortable using modern development and deployment tools like Vercel, Railway, n8n, GitHub, and AI-powered IDEs such as Cursor, Replit, GitHub Copilot, or Tabnine. Strong proficiency in JavaScript, React, Next.js, Node.js, TypeScript Experience with AI APIs such as OpenAI and Claude Practical knowledge of prompt engineering and vector search concepts Familiarity with modern IDEs and AI coding assistants (GitHub Copilot, Tabnine, etc.) Experience working with PostgreSQL and deployment tools like Vercel and Railway Excellent problem-solving and communication skills Leadership qualities and the ability to mentor junior developers Interview Process Application Review HR Screening Technical Assessment Final Interview Offer & Onboarding Perks Of Joining Avya Technology Avya Tech is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best experienced people in every job. Avya Tech policy prohibits unlawful discrimination based on race. Hybrid Work – Remote or Office Flexibility to allow employees to take personal time with work. Flexible Timings To empower employees to manage things in a fast-paced life. Training Practical training & learning from the experts and mentors. Paid Certifications Sponsorship opportunities to invest in personal & career development. Rewards and Recognition To value and appreciate the performance on a regular basis. Team Building Indoor & outdoor team building workshops and activities.

Job Title: Senior Web3 Blockchain Developer Location: Ahmedabad or Pune, India Division: ATRI Solutions – Blockchain & Intelligent Systems Reports To: Head of Engineering Employment Type: Full-Time Role Overview We are looking for a Senior Web3 Blockchain Developer to join our growing team of decentralized systems engineers. This role is ideal for someone who combines deep knowledge of blockchain fundamentals with experience building smart contracts, DeFi applications, stablecoin architectures, and systems that integrate with AI/ML services and cloud-native APIs. As a key contributor, you will design decentralized products that are secure, scalable, and intelligent—for real-world use cases across banking, commodities, trading, supply chain, robotics, and digital identity. Key Responsibilities Blockchain Development & Architecture Architect and implement decentralized systems on EVM-compatible blockchains (e.g., Ethereum, Polygon, Arbitrum). Design secure and gas-optimized smart contracts using Solidity, Vyper, or Chaincode. Lead development of stablecoins (collateralized, algorithmic, hybrid) and on-chain financial primitives (swaps, vaults, staking). Implement secure wallet integrations, digital signatures, and multisig/DAO voting systems. Choose appropriate consensus models, network types (public, private, consortium, hybrid), and validate tradeoffs. Web3, AI & Trading Use Cases Build AI-integrated dApps for automated trading, predictive analytics, and portfolio management. Design AI-triggered smart contract executions using cloud and on-chain data pipelines. Implement data streaming and decision layers for real-time event-based finance. Work with quants/data scientists to translate ML models into on-chain/off-chain hybrid systems. Full-Stack Development & Cloud Integration Develop user-facing decentralized apps using React/Next.js, with wallet and smart contract integration via ethers.js. Connect blockchain apps to cloud platforms (AWS/GCP/Azure) for indexing, compute, and identity/authentication workflows. Use infrastructure-as-code and DevOps practices to deploy scalable Web3 backends. Required Skills and Qualifications Core Technical Expertise Blockchain Architecture: Deep understanding of decentralized systems, consensus algorithms (PoW, PoS), Merkle trees, and blockchain data structures. Cryptography: Proficient in public key cryptography, key management, hash functions (SHA-256, Keccak), and encryption standards. Smart Contracts: Strong background in Solidity development and smart contract lifecycle (design, test, audit, deploy). Distributed Systems: Knowledge of peer-to-peer networking, node synchronization, and permissioned/permissionless systems. Data Structures: Mastery of linked lists, hash trees, graphs, and other blockchain-native structures. Programming Languages: Strong in Solidity, JavaScript/TypeScript, Python, and familiar with C++, Rust, or Go. Web Development: Skilled in front-end (React, Next.js) and API integration layers, especially for Web3 dApps. Applied Experience 5+ years in software development, with 2+ years in Web3/blockchain. Experience building applications for DeFi, trading platforms, or crypto wallets. Familiar with testing frameworks (Hardhat, Foundry, Truffle) and security best practices. Experience with AI/ML tools (OpenAI, LangChain, TensorFlow) and cloud-native orchestration. Nice to Have Experience with zero-knowledge proofs (ZKPs), Layer 2 protocols, or cross-chain communication. Contributions to open-source blockchain projects or DAO governance tools. Familiarity with Substrate, Solana, Cosmos SDK, or alternative consensus ecosystems. Hands-on with tools like The Graph, Moralis, Infura, Alchemy, and Web3 storage systems. Job Type: Full-time Pay: ₹14,867.69 - ₹64,359.94 per month Experience: Total : 1 year (Required) Language: English (Required) Location: Science City, Ahmedabad, Gujarat (Required) Work Location: In person Speak with the employer +91 9510240007 Expected Start Date: 21/07/2025

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Developer and collaborate with forward-thinking startups to build intelligent systems, automate workflows, and integrate machine learning into real-world applications. You’ll work on everything from model development to deployment, with the freedom to structure your engagements as you choose. Plus, enjoy the flexibility to work remotely and take on projects that align with your passion and expertise. Role Overview As an AI Developer, you will: Build Intelligent Systems: Design and implement AI/ML models for various use cases including classification, recommendation, NLP, and computer vision. Develop & Deploy Models: Train, evaluate, and deploy models into production environments. Collaborate Across Teams: Work with product managers, engineers, and business stakeholders to integrate AI into end-user applications. What You’ll Do AI Model Development: Design, train, and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn Work on use cases across NLP, computer vision, predictive analytics, and generative AI. End-to-End AI Pipeline: Preprocess data, build pipelines, and manage model lifecycle (training, evaluation, deployment). Deploy models via APIs or integrate them with backend systems or automation tools. Technical Requirements & Skills Experience: 5+ years in AI/ML development. Programming Languages: Proficient in Python (preferred), Java, or C++. Frameworks: Hands-on experience with TensorFlow, PyTorch, Keras, or Scikit-learn. Concepts: Strong understanding of algorithms, data structures, and core AI/ML concepts. Data: Experience with data wrangling, feature engineering, and working with large datasets. Bonus: Familiarity with LLM APIs (OpenAI, Claude, Gemini) or tools like LangChain, Hugging Face Transformers. What We’re Looking For A technically strong AI developer with a track record of building and deploying machine learning solutions. A creative problem-solver who enjoys working independently and collaboratively. A freelancer who thrives in fast-paced environments and can drive AI innovation from concept to implementation. Why Join Us? Immediate Impact: Work on cutting-edge AI projects that solve real business problems. Remote & Flexible: Choose when and how you work—hourly or project-based. Future Opportunities: BeGig will continue matching you with AI and ML roles that suit your expertise. Innovative Work: Partner with startups building the next wave of AI-driven products. Ready to take the next step? Apply now to become a key AI Developer for our client and a valued member of the BeGig network!

Company Description SBEK (Sab-Ek) is a jewelry brand that creates meaningful pieces infused with ARKA’s Light, a mythical energy symbolized through glowing pendants. These unique Glowforms charge through various light sources and glow in the dark, carrying messages of service and purpose. Each pendant supports a different cause, such as tree preservation, wish granting, or planting seeds for future generations. Profile Overview We are seeking an experienced and innovative AI & Automation Systems Architect to design, build, and implement a comprehensive, end-to-end AI and automation ecosystem for our direct-to-consumer (D2C) brand. This is a unique opportunity to spearhead the creation of intelligent, connected solutions that will revolutionize how we manage marketing, customer support, email communications, CRM, and task tracking, effectively replacing functions typically requiring a full team. You will be responsible for building these systems from the ground up, translating our clear vision into actionable, scalable, and highly efficient automated workflows. Roles and Responsibilities: Develop and manage an internal AI workspace: Create a centralized platform to store product information, brand tone of voice guidelines, campaign ideas, and brand language. This workspace will serve as a collaborative hub where the team can leverage AI for content generation and strategic development. Implement AI-powered customer communication: Build and maintain a sophisticated bot capable of responding to customer emails and messages across WhatsApp, Instagram, and email, all while adhering to our established brand voice. Design and execute customer segmentation and personalization: Establish a robust system for tracking customer purchases, segmenting audiences, and enabling highly personalized outreach strategies. Drive AI-driven content ideation: Develop a tool that generates innovative campaign hooks, compelling stories, and relevant content suggestions, consistently aligned with our brand language and mood. Automate email marketing: Construct an intelligent email engine to autonomously write and dispatch product launch emails, newsletters, and promotional reminders, minimizing the need for manual drafting. Create a foundational operational dashboard: Develop a clear and intuitive dashboard to monitor team progress, track productivity metrics, and ensure seamless alignment between marketing and operational efforts. Train and refine a custom AI assistant: Develop and fine-tune a specialized GPT (or similar AI assistant) to master our brand tone, enabling instant generation of copy, stories, and customer responses. Develop the following under -- Customer experience: Virtual Try-On (AR) Platform, AI Personal Shopper/Chatbot, Dynamic Homepage & Behavioral Targeting, AI Marketing Automation -- Internal Operations Systems: Human Resource Management System (HRMS), Customer -- Relationship Management (CRM), ERP for Inventory management -- Business Intelligence & Analytics: Unified Dashboard Suite, Predictive Analytics Engine, Security & Compliance Framework -- Technical Architecture Assessment: Integration Strategy Analysis, AI & Machine Learning Capabilities, Development Complexity Evaluation Deliverables -- Comprehensive System Analysis Report -- Business Impact Analysis -- Strategic Implementation Roadmap -- Technology Stack Recommendations -- Collaborative Strategy Session -- Strategic Planning & Prioritization -- Deep-Dive Project Planning Required Skills & Experience: Automation Platforms: Proven expertise with N8n (preferred), Make.com, or Zapier. Knowledge & Content Management Systems: Proficient in Notion or Airtable. AI Models: Hands-on experience with OpenAI GPTs, Claude 3, and Perplexity. Custom GPTs: Demonstrated ability to train, structure, and optimize GPTs to embody a specific brand voice and behavior. Email Automation: Familiarity and practical experience with Loops.so, Mailmodo, or similar email automation platforms. Platform Integration: Strong understanding of Shopify integration or advanced API knowledge for extracting sales data. Bonus Qualifications: Experience with vector databases like Pinecone. Knowledge of basic prompt chaining techniques. Familiarity with RAG (Retrieval Augmented Generation) systems. Experience with LangChain. Reference Video: https://www.youtube.com/watch?v=ldETapkr8Hg If you are passionate for leveraging AI and automation to build transformative systems, we encourage you to apply. Join us in shaping the future of D2C operations!

About this role: AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy. What you’ll do: Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. Lead architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives. Continuously improve models through experimentation and optimization techniques. Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Create Data Science packages and APIs for use across the organization Mentor junior members of the team on effective technical practices and non-technical acumen Be accountable for the scalability, stability, and business adoption of data science solutions What you’ll need: 6-9 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. Must have: Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Demonstrated ability to translate quantitative analysis into actionable business strategies. Ability to work collaboratively across business, data science and technical stakeholders. Who You Are Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred. Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Owns success – Takes responsibility for successful delivery of the solutions. Ardent desire to improve upon their skills in software development, frameworks, and technologies. Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. 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We are looking for a highly skilled Python Developer with solid experience in Artificial Intelligence (AI), Machine Learning (ML) , and Generative AI . The ideal candidate will have hands-on experience working with GPT-4 , transformer models , and deep learning frameworks , and a strong understanding of model fine-tuning, deployment, and inference. Key Responsibilities: Design, develop, and maintain Python applications focused on AI/ML and generative AI. Build and fine-tune transformer-based models (e.g., GPT, BERT, T5) for various NLP and generative tasks. Work with large-scale datasets for training and evaluation. Implement model inference pipelines and scalable APIs using FastAPI, Flask, or similar. Collaborate with data scientists and ML engineers to build end-to-end AI solutions. Stay current with recent research and developments in the field of generative AI and ML. Required Skills and Experience: Strong proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.) 3–7+ years of experience in AI/ML development. Hands-on experience with transformer-based models , especially GPT-4 , LLMs , or diffusion models . Familiarity with Hugging Face Transformers , OpenAI API , or similar frameworks. Experience with TensorFlow , PyTorch , or JAX . Experience deploying models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Strong problem-solving and algorithmic thinking. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) is a plus.

Job Title: Senior Web3 Blockchain Developer Location: Ahmedabad or Pune, India Division: ATRI Solutions – Blockchain & Intelligent Systems Reports To: Head of Engineering Employment Type: Full-Time Role Overview We are looking for a Senior Web3 Blockchain Developer to join our growing team of decentralized systems engineers. This role is ideal for someone who combines deep knowledge of blockchain fundamentals with experience building smart contracts, DeFi applications, stablecoin architectures, and systems that integrate with AI/ML services and cloud-native APIs. As a key contributor, you will design decentralized products that are secure, scalable, and intelligent—for real-world use cases across banking, commodities, trading, supply chain, robotics, and digital identity. Key Responsibilities Blockchain Development & Architecture Architect and implement decentralized systems on EVM-compatible blockchains (e.g., Ethereum, Polygon, Arbitrum). Design secure and gas-optimized smart contracts using Solidity, Vyper, or Chaincode. Lead development of stablecoins (collateralized, algorithmic, hybrid) and on-chain financial primitives (swaps, vaults, staking). Implement secure wallet integrations, digital signatures, and multisig/DAO voting systems. Choose appropriate consensus models, network types (public, private, consortium, hybrid), and validate tradeoffs. Web3, AI & Trading Use Cases Build AI-integrated dApps for automated trading, predictive analytics, and portfolio management. Design AI-triggered smart contract executions using cloud and on-chain data pipelines. Implement data streaming and decision layers for real-time event-based finance. Work with quants/data scientists to translate ML models into on-chain/off-chain hybrid systems. Full-Stack Development & Cloud Integration Develop user-facing decentralized apps using React/Next.js, with wallet and smart contract integration via ethers.js. Connect blockchain apps to cloud platforms (AWS/GCP/Azure) for indexing, compute, and identity/authentication workflows. Use infrastructure-as-code and DevOps practices to deploy scalable Web3 backends. Required Skills and Qualifications Core Technical Expertise Blockchain Architecture: Deep understanding of decentralized systems, consensus algorithms (PoW, PoS), Merkle trees, and blockchain data structures. Cryptography: Proficient in public key cryptography, key management, hash functions (SHA-256, Keccak), and encryption standards. Smart Contracts: Strong background in Solidity development and smart contract lifecycle (design, test, audit, deploy). Distributed Systems: Knowledge of peer-to-peer networking, node synchronization, and permissioned/permissionless systems. Data Structures: Mastery of linked lists, hash trees, graphs, and other blockchain-native structures. Programming Languages: Strong in Solidity, JavaScript/TypeScript, Python, and familiar with C++, Rust, or Go. Web Development: Skilled in front-end (React, Next.js) and API integration layers, especially for Web3 dApps. Applied Experience 5+ years in software development, with 2+ years in Web3/blockchain. Experience building applications for DeFi, trading platforms, or crypto wallets. Familiar with testing frameworks (Hardhat, Foundry, Truffle) and security best practices. Experience with AI/ML tools (OpenAI, LangChain, TensorFlow) and cloud-native orchestration. Nice to Have Experience with zero-knowledge proofs (ZKPs), Layer 2 protocols, or cross-chain communication. Contributions to open-source blockchain projects or DAO governance tools. Familiarity with Substrate, Solana, Cosmos SDK, or alternative consensus ecosystems. Hands-on with tools like The Graph, Moralis, Infura, Alchemy, and Web3 storage systems. Job Type: Full-time Pay: ₹14,867.69 - ₹64,359.94 per month Experience: Total : 1 year (Required) Language: English (Required) Location: Science City, Ahmedabad, Gujarat (Required) Work Location: In person Speak with the employer +91 9510240007 Expected Start Date: 21/07/2025

Position: Lead Technical Consultant Location: Mumbai, Pune & Vapi Type: Full-Time Contact us on: nishant@fristinetech.com ; hr@fristinetech.com About Fristine Infotech About Fristine Infotech Fristine Infotech partners with leading Indian manufacturers, retailers, distributors, and logistics companies to deliver end-to-end digital-transformation and AI-driven solutions. Our consulting group combines deep MRDL domain knowledge, low-code expertise on Zoho, and advanced AI/ML capabilities to create measurable value for clients. Role Overview You will lead the strategy, design, and delivery of AI-enabled digital-transformation programmes within the MRDL domain. The remit spans process discovery and mapping, Zoho solution architecture, generative-AI prototyping, governance, and project leadership—acting as the bridge between senior client stakeholders and internal development, data-science, and change-management teams. Key Responsibilities Strategy & Advisory Define AI and digital-transformation roadmaps tailored to MRDL business objectives and compliance standards. Identify and prioritise use-cases for predictive analytics, generative-AI assistants, autonomous workflows, process optimization, and efficiency enhancements using Zoho applications. Process & Solution Design Facilitate workshops to document current "as-is" MRDL processes and design optimized "to-be" states using BPMN / Zoho Blueprint. Translate domain-specific requirements into data pipelines, ML feature sets, and prompt libraries for effective developer execution. AI Development & Governance Oversee model development, validation, and MLOps implementations for predictive analytics, NLP, and generative-AI use-cases specific to MRDL. Implement responsible-AI controls covering fairness, privacy, security, and regulatory compliance. Configuration & Testing Configure, customize, and optimize Zoho applications, including Zoho CRM, Zoho Inventory, Zoho Creator, Zoho Projects, and Zoho Analytics, tailored for MRDL requirements. Collaborate closely with developers to create MRDL-specific customizations and integrations within the Zoho ecosystem. Conduct detailed functional testing, create MRDL-focused test cases, execute tests, and document outcomes. Project Governance & Stakeholder Leadership Mentor Zoho developers and data-science teams, encouraging continuous innovation in MRDL solutions. Provide comprehensive training and support to end-users, ensuring seamless adoption and effective utilization of Zoho solutions. Manage budgets, sprint plans, and resource allocations; regularly report progress to senior MRDL executives. Security & Risk Perform AI threat modeling specific to MRDL operations and recommend secure-by-design model pipelines across cloud platforms. Preferred Skills Core Requirements 5+ years technology consulting experience in MRDL domain with live AI/ML implementations Proven experience with Zoho Creator/CRM implementations and production ML solutions (TensorFlow, PyTorch, LangChain) Proficiency in Python, SQL, and cloud AI services (AWS SageMaker, Azure OpenAI, Google Vertex) Expertise in BPMN 2.0 or UML modeling; excellent stakeholder-workshop facilitation skills Preferred Assets MBA (Operations/Supply Chain) or M.Tech (AI) Experience with RPA or other low-code platforms (OutSystems, Mendix) Exposure to Edge-AI / IoT analytics in manufacturing or logistics Familiarity with scaled-agile frameworks (SAFe, LeSS) Soft-Skill Profile We value analytical rigor, persuasive storytelling, adaptability, stakeholder influence, and an ethical mindset—competencies essential for driving impactful transformations in leading MRDL organizations. What We Offer Signature MRDL + AI transformation projects with marquee clients Flat organizational hierarchy, rapid promotion opportunities, and annual certification support Competitive compensation, comprehensive healthcare benefits, and a culture fostering inclusive innovation

As a Senior Product Manager, you will play a pivotal role in defining the strategic direction of the product offerings, collaborating with cross-functional teams, and ensuring the successful execution of the product vision. With 8-10 years of experience in the Product domain developing AI-based enterprise solutions, you will leverage AI/ML technologies to enhance product capabilities and deliver innovative solutions in a fast-paced and dynamic environment. Your key roles and responsibilities will include leading the development and execution of AI/ML products from concept to launch, defining the product roadmap, strategy, and vision based on market trends, customer needs, and business goals. You will collaborate with cross-functional teams including engineering, design, data science, and marketing to drive product development, conduct market research and competitive analysis to identify new opportunities, and enhance existing products. Managing the product lifecycle, including planning, prioritization, and feature definition, you will measure and evaluate product performances, user behavior, and Customer Satisfaction using qualitative and quantitative methods. Communication of the product vision and priorities to stakeholders, team members, and executives will be essential. Additionally, driving product performance analysis and making data-driven decisions to optimize product features and user experience are crucial aspects of the role. Your interaction with customers to gather feedback, understand requirements, and address product issues will be important. Staying updated on AI industry trends, technologies, and best practices to drive innovation and maintain competitive advantage is a key requirement. Providing leadership and mentorship to junior product team members will also be part of your responsibilities. A Product Management Certification (e.g., Pragmatic Marketing, Certified Scrum Product Owner) is required for this role. Strong behavioral skills such as excellent leadership and communication, problem-solving, decision-making abilities, adaptability, creativity, and a passion for innovation are essential. Experience with technical tools and frameworks like Python, TensorFlow, PyTorch, OpenAI, Jupyter Notebooks, MLflow, AWS SageMaker, Google Vertex AI, or Azure ML will be advantageous. If you have proven experience in building AI/ML Products, you can email your resumes to hardik.dwivedi@adani.com.,

Job Description : Principal AI Architect Employment Type : Full-Time. Relevant Experience : 10+ years Key Responsibilities AI-First Leadership : Define and drive DB Techs AI vision, re-architect systems into AI-native services, integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and autonomous testing. Architect Scalable AI Systems : Design enterprise-scale AI/ML platforms that support real-time analytics, model deployment, and continuous learning in financial products and services. Lead Solution Design : Collaborate with data scientists, engineers, and business stakeholders to build and integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors). Ensure Governance & Compliance : Implement AI systems that meet financial regulations (e.g., GDPR, PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability. Drive MLOps Strategy : Establish and maintain robust pipelines for data ingestion, feature engineering, model training, testing, deployment, and monitoring. Team Leadership : Provide technical leadership to data science and engineering teams. Promote best practices in AI ethics, version control, and reproducibility. Identify areas where AI can deliver business value and lead the development of proofs-of-concept (PoCs). Evaluate the feasibility, cost, and impact of new AI initiatives. Define best practices\standards for model lifecycle management (training, validation, deployment, monitoring) - Evaluate Emerging Technologies : Stay ahead of developments in generative AI, LLMs, and FinTech- specific AI tools, and drive their strategic adoption. Technical Skills And Tools ML & AI Frameworks : Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Hugging Face Transformers, OpenAI APIs (for generative and NLP use cases) MLOps & Deployment MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases FastAPI, gRPC, Docker, Kubernetes, Airflow FinTech-Specific Applications Credit scoring models, Fraud detection algorithms Time series forecasting, NLP for financial documents/chatbots Algorithmic trading models, AML (Anti-Money Laundering) systems Cloud & Data Platforms AWS SageMaker, Azure ML, Google Vertex AI Databricks, Snowflake, Kafka, BigQuery, Delta Lake Monitoring & Explainability SHAP, LIME, Alibi, Evidently AI, Arize AI IBM AIX 360, Fiddler AI Required Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field; PhD is a plus. 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly regulated industries. Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk modeling, or portfolio optimization. Strong Hands-on Expertise In Machine Learning : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Data Engineering : Spark, Kafka, Airflow, SQL/NoSQL (MongoDB, Neo4j) Cloud & MLOps : AWS, GCP, or Azure; Docker, Kubernetes, MLflow, SageMaker, Vertex AI Programming : Python (primary); Java or Scala (optional) Solid software engineering background with experience integrating ML models into scalable production systems. Excellent communication skills with the ability to influence both technical and non-technical stakeholders. (ref:hirist.tech)

You will play a key role in innovative new AI projects for Qualifacts as a Full Stack Software Engineer on the AI Team. Working within an agile team, you will contribute to the development of new products that have the potential to reach over 125,000 behavioral health clinicians and millions of patients. The focus will be on building AI products from scratch to complement Qualifacts" existing platforms. As a front-end focused full stack developer, you are expected to have experience with ES6 and React, Angular, or similar technologies. Your insights will be valuable in determining the approach to our tech stack for the new product. Your responsibilities will include participating in designing and developing technical solutions for complex web-based EHR systems, writing efficient and high-quality code, testing thoroughly to ensure minimal bugs, contributing new ideas and feedback to the team, and assisting in architecting scalable and high-performance solutions. Troubleshooting software applications, collaborating with cross-functional teams, and staying updated with emerging technologies and best practices are also key aspects of the role. General qualifications for this position include a Bachelor's degree in computer science, information systems, business administration, or related fields, along with 5+ years of experience as a full stack developer. A customer-focused approach, a keen sense of priority and urgency, commitment to engineering best practices, self-learning ability, problem-solving skills, and a strong sense of accountability and ownership are essential qualities. In terms of technical skills, proficiency in ES6, React, Angular, strong computer science fundamentals, experience in software development, test-driven development, work ethic, motivation to learn and improve, familiarity with Django, OpenAI, and web networking concepts are important for this role.,

The role involves building intelligent agents powered by LLMs like GPT, automation tools such as n8n, Loveable, LangChain, Supabase, and external APIs. If you are passionate about AI workflows, prompt engineering, autonomous agents, and real-world use cases, this position is ideal for you. You will be responsible for building and deploying AI agents that utilize LLMs for autonomous decision-making. Additionally, you will integrate APIs, databases, and business logic into agent workflows. Developing RAG (Retrieval Augmented Generation) pipelines using vector databases like Pinecone, Supabase, and Weaviate, fine-tuning and optimizing prompts for specific tasks or domains, and collaborating with product and engineering teams to create real-world automation solutions will also be part of your role. The required skills for this position include hands-on experience with GPT APIs, OpenAI, Gemini, or similar LLMs, familiarity with n8n, LangChain, AutoGen, or similar agent frameworks, a strong understanding of JSON, APIs, webhooks, and asynchronous data flows, as well as experience in Python or JavaScript (Node.js). Bonus points will be awarded for knowledge of Supabase, Pinecone, Redis Vector, experience in deploying agents via web or mobile interfaces, and a background in workflow automation or chatbot development. If you are excited about working with cutting-edge technologies in AI and automation, and if you possess the required skills and bonus points, we encourage you to apply for this role.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

Generative AI Engineer (Hands-on Development Role) Location: Winfo Solutions Job Type: Full-time Experience: 6-10 years Industry: IT Consulting About The Role We are looking for a Generative AI Engineer with strong software engineering skills and hands-on experience in developing AI-powered applications . This role involves coding AI-driven solutions, developing APIs, integrating models into products, and building scalable AI systems for production use. Key Responsibilities Develop AI-driven applications by integrating LLMs and generative models into real-world software solutions. Design and build APIs for LLMs and GenAI models (FastAPI, Flask, Django). Write production-ready code to integrate AI features into web applications, chatbots, document processing tools, and recommendation systems. Fine-tune and optimize LLMs (GPT, LLaMA, Gemini, Claude, Mistral) for performance in real-time applications. Develop AI-powered chatbots, document extraction tools, and automation systems using LangChain, Haystack, or Semantic Kernel. Implement vector search using FAISS, ChromaDB, or Pinecone for retrieval-augmented generation (RAG) applications. Work with databases (PostgreSQL, MongoDB, Redis) to manage AI-driven data workflows. Build scalable AI microservices and integrate them into enterprise applications. Collaborate with backend engineers, data engineers, and DevOps teams to ensure seamless deployment of AI models. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Software Engineering, AI, or related field. 6+ years of experience in software development, AI engineering, or full-stack AI application development. Strong Python coding skills with experience in frameworks like FastAPI, Flask, Django. Hands-on experience developing APIs for AI models and integrating them into real-world applications. Experience with LLM APIs (OpenAI, Gemini, Claude, Mistral, etc.) and fine-tuning custom models. Strong knowledge of vector databases (FAISS, ChromaDB, Pinecone) for AI-powered search. Experience working with WebSockets, asynchronous programming, and RESTful APIs. Database experience with PostgreSQL, MongoDB, or Redis for AI-driven applications. Experience with MLOps pipelines (MLflow, Airflow, Prefect) for model retraining and monitoring. Good To Have Skills & Qualifications Familiarity with containerization (Docker, Kubernetes) and cloud-based AI deployments (AWS, GCP, Azure). Basics of probabilistic models, deep learning techniques, NLP, and embeddings.

As an AI and Machine Learning Engineer at Dailoqa, you will play a crucial role in shaping the future of Financial Services clients and the company as a whole. Working directly with the founding team, you will have the opportunity to apply the latest AI techniques to address real-world problems encountered by Financial Services clients. Your responsibilities will include designing, constructing, and enhancing datasets to assess and continually enhance our solutions, as well as engaging in strategy and product ideation sessions to influence our product and solution roadmap. Key Responsibilities: - Agentic AI Development: Build scalable multi-modal Large Language Model (LLM) based AI agents using frameworks such as LangGraph, Microsoft Autogen, or Crewai. - AI Research and Innovation: Research and develop innovative solutions for relevant AI challenges such as Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. - Technical Expertise: Demonstrate proficiency in a technology stack comprising Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. - LLM and NLP Experience: Hands-on experience with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. - Dataset Development: Establish a strong track record of constructing datasets for training and/or evaluating machine learning models. - Customer Focus: Dive deep into the domain, comprehend the problem, and concentrate on delivering value to the customer. - Adaptability: Thrive in a fast-paced environment and demonstrate enthusiasm for joining an early-stage venture. - Model Deployment and Management: Automate model deployment, monitoring, and retraining processes. - Collaboration and Optimization: Collaborate with data scientists to review, refactor, and optimize machine learning code. - Version Control and Governance: Implement version control and governance for models and data. Required Qualifications: - Bachelor's degree in computer science, Software Engineering, or a related field. - 4-8 years of experience in MLOps, DevOps, or similar roles. - Strong programming experience and familiarity with Python-based deep learning frameworks like PyTorch, JAX, Tensorflow. - Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform. Desired Skills: - Experience with experiment tracking and model versioning tools. - Proficiency with the technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. - Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect. - Familiarity with software testing and test automation practices. - Understanding of ethical considerations in machine learning deployments. - Strong problem-solving skills and ability to work in a fast-paced environment.,