CSQ326R28 The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The Impact You Will Have Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What We Look For Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI 4+ years of hands-on industry data science experience, leveraging machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

Capgemini Invent Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses. Your Role "Overall responsibility Content Creation (70%), Marketing (30%). The required candidate to have a strong grasp of Generative AI (Gen AI), Agentic AI to produce high-quality, engaging, and technically accurate content. The candidate will collaborate with SMEs, industries, accelerators, and marketing teams to communicate complex AI concepts, use cases, and AI product features to diverse audiences including developers, data scientists, and business stakeholders. Research and write clear, concise, and engaging content on Gen AI topics, including: Foundation models (reasoning, non-reasoning, multimodality…) Prompt engineering, fine-tuning, and model deployment Applications of Gen AI across industries Maintain and update existing content to reflect new features, products, and trends Content Creation Create some short-form content for digital channels. Produce internal / external newsletters (internal), technical documentation, blog posts, white papers, tutorials, case studies, and thought leadership pieces. Advise on a mix of content format based on objectives and target audience. Creating effective emailers to engage stakeholders. Storytelling Convey the narrative in a compelling way. Collaborate with design teams to enhance content with visuals, diagrams, and videos Data Analytics Own the reporting of digital KPIs and deriving insights to drive improvements. Project Management Manage and coordinate with multiple stakeholders for successful execution. Secondary Skills: Strategic thinking Strong ability to build relationships and influence others. Exceptional written communication and presentation skills. Structured thinker, process oriented and analytical. Your Profile Required Skills & Qualifications: 2+ years of experience in technical writing, preferably with AI/ML content Solid understanding of Gen AI concepts (e.g., LLMs, GPT, fine-tuning, prompt engineering….) Excellent writing, editing, and storytelling skills Ability to grasp complex technical topics quickly and explain them clearly Familiarity with Gen AI tools (e.g., OpenAI, Hugging Face, Lang Chain) is a strong plus. Preferred Qualifications: Experience writing for technical audiences (developers, data scientists, ML engineers) Published portfolio of Gen AI-related writing samples Familiarity with documentation standards Working experience in building creatives, emailers, videos, UX/UI design tools, Adobe suite, HTML, Figma, is a plus." What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Show more Show less

Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

Shape the Future. Teach the Next Generation of AI Leaders. Are you passionate about Artificial Intelligence and Generative AI? Do you enjoy teaching and mentoring future tech professionals? If so, SmartBridge invites you to be part of one of India’s most exciting academic transformation initiatives. We are hiring experienced AI Trainer to deliver advanced academic training in AI/ML and Generative AI to engineering students in leading institutions. This role is not just about teaching—it’s about creating impact at scale and driving the future of AI education. Key Responsibilities Conduct in-depth classroom and lab sessions in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI Hands-on tools and platforms like OpenAI, Hugging Face, Google PaLM, AWS, GCP Develop real-world projects, case studies, and practice modules to promote hands-on learning. Mentor students through research, internships, and project-based learning. Collaborate with internal academic teams to enhance content and pedagogy. Stay up-to-date with advancements in Generative AI, LLMs, and AI Agent frameworks. Required Qualifications and Skills Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of relevant experience in AI/ML, either in academia or industry. Proficient in Python, TensorFlow or PyTorch, Transformers, and LLM tools. Experience with tools like LangChain, Streamlit, and cloud platforms (AWS/GCP) is preferred. Strong communication and mentoring abilities with a passion for teaching. What We Offer Competitive salary based on qualifications and experience. Career growth through research, curriculum leadership, and training program development. Continuous Upskilling through global certifications. Residential Campus Opportunity for focused academic engagement. How to Apply Send your updated resume and a brief statement of interest to: hr@thesmartbridge.com Show more Show less

About Position: We are seeking a highly skilled .Net Azure Gen AI professional to join our dynamic team. In this role, you will be responsible for design, development, and implementing. Role: .Net Gen AI Developer Location: All PSL Location Experience: 5 – 10 Years Job Type: Full Time Employment What You'll Do: Experience in Microsoft based technologies and software platforms such as C#, .NET Framework, Azure, GenAI/OpenAI 2+ years of experience with Microsoft Azure Good working knowledge on Python of at least 6 months Strong testing and quality assurance skills and ethics. Excellent verbal and written communication skills. Ability to thrive in an independent environment. Customer focused and action oriented. Expertise You'll Bring: Programming Languages: Strong proficiency in C#, GenAI/OpenAI/LLM/RAG/Foundry/AzureAI, Azure and experience with .NET Core/Framework. Azure Services: Experience with Azure App Service, Functions, Storage (Blob, Queues, Tables), SQL Database, and other relevant services. Cloud Architecture: Understanding of cloud architecture principles, including scalability, reliability, and security. Version Control: Experience with Git and other version control systems. Testing and Debugging: Experience with unit testing, integration testing, and debugging techniques. Soft Skills: Excellent communication, problem-solving, and collaboration skills. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a value-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.” Show more Show less

Job Title: Lead Full stack developer Location: Gurgaon(Hybrid) Position Overview: We are seeking a proficient Full Stack Developer Coach/ SME to lead & guide the development of our AI-powered multi-application platform. Objective: This role will act as a coach for app architecture; will be an escalation point for coding issues/ code development and provide resolution to team members to keep project on track. Key Tech Stack: Azure Services: Azure Cognitive services, Speech Services, Azure OpenAI Whisper Tech Skills: WebSocket connections & implementation, Real time voice transcription AI led Development: Cursor.ai, Github copilot and other tools that accelerate application development Additional Skills: Encryption, Decryption, AES 256, Gen AI Coding tools, Using Transformer Models Tools: Open API/Swagger, OAuth2, Celery/RabbitMQ, JWT Security: Familiar with HIPAA requirements Key Responsibilities: Owns the architecture of the application development Familiar with security requirements of US Healthcare applications and therefore the secure architecture required Ensures that the team is able to deliver to the development timelines Answer questions in group chats, get on meetings to guide and coach the team members Create policy on Coding Standards Spot check work for developers to ensure that coding standards are met Implement tools like SonarQube to ensure high quality of code Resolve issues and roadblocks in a reasonable timeframe Work closely with product managers, analysts, and UI designers to ensure system consistency and improve user experience Support the product development lifecycle through participation in design sprints and review sessions Keeps in touch with the latest trends in AI led development and brings those best practices to help accelerate development and improve team productivity Minimum Qualifications: Minimum of 5 years of experience in full stack development using Python, Node.js/Next.js, JavaScript, and TypeScript Minimum of 2 years experience as a Technical Lead on a Healthcare SaaS app Proven track record of developing and managing web applications & APIs Strong experience with cloud services, particularly Microsoft Azure, including Azure DevOps, App Services, and other Azure management tools Familiarity with databases like PostgreSQL Experience in an Agile development environment and understanding of SDLC practices Strong problem-solving skills and the ability to work on complex software projects Experience in healthcare technology and understanding of regulatory environments such as HIPAA / HITECH Excellent communication and teamwork skills Powered by JazzHR vkhIyOXkwv Show more Show less

🚀 We’re Hiring: Entry-Level Full-Stack React Developer (0-2 Years Experience) – Equity Research Technology 🚀 Are you eager to launch your career as a developer and work at the intersection of cutting-edge technology and financial markets? Join us as an Entry-Level Full-Stack React Developer and contribute to building innovative tools that empower equity research and portfolio management teams! About the Role: As part of our Equity Research Technology team, you will help develop and maintain web applications that support our equity research practice. You’ll gain hands-on experience working on both front-end and back-end components and collaborate closely with portfolio managers and equity research analysts in a fast-paced, dynamic environment. What You’ll Do: Assist in building responsive, user-friendly web applications using React JS . Support back-end development with Node.js , Express.js , and database management. Work with data related to equity research, financial modeling, and portfolio analytics. Integrate APIs and help manage data flow between front-end and back-end systems. Write clean, maintainable code and participate in code reviews and testing. Learn to optimize application performance and troubleshoot issues. Collaborate with cross-functional teams including portfolio managers and analysts to understand business needs. Gain exposure to financial market data and equity research workflows. What We’re Looking For: Basic proficiency in JavaScript (ES6+) and familiarity with React fundamentals (components, props, state, hooks). Exposure to back-end development using Node.js and Express.js through projects, internships, or coursework. Understanding of HTML5, CSS3, and responsive design. Familiarity with RESTful APIs and basic database concepts (SQL or NoSQL). Strong analytical mindset and eagerness to learn financial domain concepts. Good communication skills and ability to work collaboratively. Bonus: Interest or coursework related to finance, equity research, or data analytics. Bonus: Experience or curiosity about financial market data sources (Bloomberg, Reuters) and technologies like MongoDB, MSSQL, or LLMs (OpenAI API, Langchain). Why Join Us? Unique opportunity to work at the crossroads of finance and technology. Mentorship from experienced finance professionals. Exposure to equity research tools, financial data, and portfolio analytics. Supportive environment focused on learning, growth, and innovation. Competitive entry-level salary and benefits. Show more Show less

We are hiring an AI Solutions Engineer at thinkbridge, where you'll design, develop, and deliver impactful AI-powered enterprise solutions tailored for our diverse range of clients and internal products. You'll work closely with clients to deeply understand their business challenges and translate them into scalable, robust AI systems. This position blends software engineering excellence, strategic product thinking, and creative problem-solving, requiring you to make informed decisions about technology choices, deployment strategies, and long-term optimization. You'll also have the opportunity — and responsibility — to identify and incubate product opportunities for thinkbridge, transforming successful client engagements into scalable, productized AI offerings. About think bridge think bridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think ’ers to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At thinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking. think bridge is a place where you can: Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues. Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done. Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship. think bridge. There’s a new way there. ™ Why This Role Is Different At thinkbridge, we operate at the intersection of innovation, client success, and product excellence. This senior role empowers you to leverage your extensive ML and AI expertise to directly influence our strategic direction, drive innovation in diverse industry domains, and develop transformative solutions. Your leadership will set high technical standards, shape new AI-driven product offerings, and deliver measurable, outcome-oriented results aligned with our core values of Outcomes, Quality, Ownership, Accountability, and Communication. Join us to lead impactful, cutting-edge AI projects that genuinely transform client businesses and advance thinkbridge's strategic growth. What is expected of you? As part of the job, you will be required to Lead end-to-end AI solution development, from ideation through deployment, in sectors such as staffing, healthcare, energy, and technology product development. Act as a trusted technical advisor to clients, clearly translating business objectives into actionable AI strategies and technical solutions. Evaluate, select, and integrate appropriate AI models (open source or proprietary) balancing performance, cost, and maintainability. Collaborate closely with cross-functional teams—engineering, product management, and client success—to deliver outcome-driven solutions. Continuously identify potential for productization of AI services and contribute strategically to thinkbridge’s product development roadmap. Ensure high engineering standards for production-readiness, scalability, maintainability, and quality. Own the lifecycle management of AI solutions, optimizing deployments by migrating from premium to cost-effective models over time. If your beliefs resonate with these, you are looking at the right place! Accountability –Finish what you started Communication–Context aware, pro-active, and clean communication Outcome –High throughput Quality –High-Quality work and consistency Ownership –Go Beyond Requirements Must have technical skills 2+ years of experience building AI-powered software applications, ideally within client-facing or product-focused roles. Strong software engineering fundamentals and fluency in Python; proficiency with REST APIs and modern cloud technologies. Proven ability to build robust, scalable AI systems from concept to production. Experience with agentic frameworks like langgraph and crew.ai is highly desirable. Experience with diverse AI models and platforms (e.g., Hugging Face, OpenAI, Azure AI, AWS AI, proprietary APIs), and deep understanding of when to apply each. Experience with varied RAG approaches and vector stores, designing evaluation systems, and a deep understanding of the tradeoffs across approaches. Creative, outcome-focused problem solver with excellent analytical and strategic decision-making skills. Ability to navigate ambiguity, prioritize effectively, and deliver meaningful business outcomes with high agency. Strong communication and interpersonal skills; able to clearly articulate technical solutions to both technical and non-technical stakeholders. Experience or interest in shaping and launching new product offerings based on AI-driven insights from client engagements Our Flagship Policies and Benefits: Work from anywhere! Flexible work hours All leaves taken are paid leaves Family Insurance Quarterly Collaboration Week Show more Show less

Location: Remote or Bangalore(On-site) Experience Required: 2–5 Years We're on a mission to build next-gen AI products that actually work in the real world. If you’ve ever wanted to work on AI apps that people outside of Hacker News use and love — read on. We’re looking for a sharp, creative, and hands-on AI Application Developer to help us build autonomous agent-based apps at scale. This isn’t a research lab gig — this is production. You’ll ship high-impact LLM applications, shape intelligent agent architectures, and get to push the boundaries of LangGraph, RAG, embeddings, and more. 🔧 What You’ll Be Doing Build and ship real-world AI applications — not just POCs. Design Retrieval-Augmented Generation (RAG) pipelines with multi-vector and hybrid search. Craft fast, token-efficient systems with smart response caching and optimization. Build autonomous agents with LangGraph and agentic frameworks. Experiment with contextual compression, multi-agent systems, and advanced embedding techniques. Work closely with product, design, and DevOps to turn crazy ideas into powerful features. Own your code, debug like a boss, and help raise the bar for the whole team. 🧠 What You Bring Exposure in building production grade LLM apps 3–5 years of full-stack or backend development experience. Experience with LangGraph or similar agentic frameworks (this is non-negotiable ). ✅ Must-Have Skills Built production-grade apps with LLM APIs (OpenAI, Anthropic, etc.). Deep knowledge of LangGraph or similar tools for autonomous agent development . Solid experience with RAG systems (hybrid search, vector DBs, contextual compression). Prompt engineering and vector optimization wizardry. Performance tuning — you care about tokens, latency, and scaling. 🌟 Bonus Points Kubernetes, Docker, and cloud infra (Azure preferred). NoSQL, Elasticsearch, or MongoDB chops. API-first mindset, CI/CD fluency, agile culture fit. Strong debugging, communication, and curiosity. 🚫 No Freshers. No Interns. LangGraph/Langchain experience is a must. If you're new to this space, this isn’t the right role (yet). We love learners — just not for this position. Show more Show less

Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design. Join us on our mission to shape the future of our industry. Want to help us simplify the world of data management? As the Lease Administration Manager, you will oversee global lease administration and lead the end-to-end execution of lease documents across our real estate portfolio. This includes teaming on the lifecycle of leases and amendments, ensuring data integrity in lease systems, and partnering with legal, finance, and real estate teams to drive timely approvals. You’ll conduct detailed lease reviews, oversee abstracting and rent schedules, manage the rent approval process, and implement scalable processes to support ongoing lease compliance, reporting, and operational efficiency. We’re looking for people who are detail-oriented with expertise in commercial real estate lease administration and who have worked with lease transactions teams on lease operations, guiding projects through execution. The candidate must be capable of collaborating across multiple teams and supporting global real estate strategies while ensuring compliance, accuracy, and alignment with company goals. How You’ll Spend Your Time Here Oversee monthly rent approval process, teaming with Legal, Finance and external vendors Partner on budgeting and reporting, related to real estate with the Finance team Oversee outsourced Lease Administration team to ensure a high level of accuracy on lease abstracts, including key dates, lease expirations, monthly rent charges, and other obligations. Obtain Letter of Credits and Security Deposit for any new leases, track returns or reductions during lease term, and work with internal and external stakeholders on updates to LOC and Security Deposits Track key dates and lease expirations and assist in coordination of restoration work and move-out obligations Review monthly rent charges, annual operating expense estimates, reconciliations, and audits Liaise with Landlords and assist Workplace teams on lease review and lease interpretation Work with partner teams on creating purchase orders related to lease transactions and on meeting insurance requirements in leases Support sustainability initiatives related to lease requirements and company sustainability goals Leverage AI tools to drive efficiency, automation, and scale across real estate operations WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING 6-8 years of experience on a Workplace or Real Estate team, working on lease operations, lease compliance, and lease administration, with in-house corporate real estate experience preferred. Expert lease interpretation, rent processing, financial analysis, and data analysis skills. Highly adaptable, capable of balancing multiple priorities, meeting deadlines, and pivoting within projects as needed. Self-starter with excellent analytical skills, communication abilities, and a strong sense of ownership . Ability to collaborate effectively and build relationships with internal and external partners. Confidentiality of business matters Knowledge of Google and Microsoft Suites and Lease Administration systems (Costar, Visual Lease, Lease Harbor,Tririga, or similar) Have experience leveraging AI tools to drive efficiencies and process improvement About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. For information on personal data processing, please see our Privacy Policy . Data Privacy Notice For Job Candidates For information on personal data processing, please see our Privacy Policy . In-Office Expectations Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing. Show more Show less

Role: GenAI Full stack developer Location: Bangalore, Pune, Hyderabad Shift: 2pm-11pm We are seeking a talented Full Stack Developer with expertise in Generative AI and a strong background in Microsoft technologies. This role involves developing and maintaining innovative AI-driven applications using Azure OpenAI GPT4o services. Required Skills and Experience: 4+ years of experience with Python, JavaScript, React, Node.js, and Express. Proficiency in databases such as MySQL, PostgreSQL, and MongoDB. Experience with Azure services, including Azure Functions, Azure DevOps, and Azure Cognitive Services. Strong understanding of web servers Familiarity with containerization technologies such as Docker and Kubernetes. Ability to write clean, efficient, and reusable code. Strong problem-solving skills and the ability to troubleshoot complex issues. Preferred Qualifications: Experience with Generative AI models and integrating them into applications. Knowledge of agentic workflows like CrewAI or Autogen. Experience in a startup environment or entrepreneurial spirit. Familiarity with CI/CD pipelines and automated deployment processes. Show more Show less

Company Description Hidden Brains InfoTech is a CMMI Level 3 enterprise software development and IT consulting company, dedicated to digital transformation. Established in 2003, we have served over 2400 clients across 107 countries, and are 'Great Place to Work® Certified.' Our focus is on building technology solutions that create intelligent enterprises through innovative approaches. With a team of over 700 agile-enabled professionals, we have developed more than 1000 mobile applications and 4000 web apps, completing over 6000 projects. Key Responsibilities : Lead and mentor a team of Python developers, fostering a culture of continuous improvement, accountability, and high-quality engineering. Own the architecture, design, and delivery of scalable Python-based applications and APIs. Guide the team in applying best practices in software development, including coding standards, code reviews, testing, and DevOps. Collaborate with Product Managers, Architects, and QA to ensure delivery of robust solutions aligned with business goals. Design and optimize relational and NoSQL database schemas, queries, and migrations. Oversee and contribute to the development of asynchronous systems using tools such as RabbitMQ. Ensure secure and high-performance API design, including token-based authentication and caching strategies. Stay up to date with advancements in AI, especially LLM APIs (e.g., OpenAI,Anthropic etc), and explore integration opportunities when applicable. Technical Skills & Requirements: Must-Have Technical Skills: Strong proficiency in Python and web frameworks such as FastAPI, Flask, or Django. Expertise in designing RESTful APIs with performance, scalability, and security in mind. Solid experience with PostgreSQL, MySQL, and MongoDB. Hands-on experience with Unix/Linux, including Shell scripting. Experience with Docker and containerized deployments. Proficient in using Git, branching strategies, and collaborative workflows. Experience in frontend-backend integrations and knowledge of JavaScript Good to Have: Familiarity with AI/ML pipelines, especially Large Language Model APIs (OpenAI, HuggingFace, etc.). Exposure to DevOps practices, cloud infrastructure (AWS, GCP, Azure), CI/CD tools. Experience with message queues, event-driven systems, and job schedulers Show more Show less

Job Title: Team Leader – Development Location: Kolkata, India Job Type: Full-Time Position Overview: We are looking for a highly experienced and technically sound Team Leader – Development to lead and inspire our client development teams. This role requires a dynamic individual with a strong technical foundation, outstanding leadership capabilities, and proven experience managing both local and remote teams. The selected candidate will oversee all phases of the software development lifecycle, ensure adherence to best practices, and foster a culture of innovation and collaboration. Key Responsibilities: Team Management Lead, mentor, and manage development teams across multiple locations. Foster a collaborative, inclusive, and performance-driven team culture. Project Oversight Oversee end-to-end planning, execution, and delivery of software projects. Collaborate with stakeholders to define clear project goals, timelines, and deliverables. Technical Leadership Author and review Technical and Functional Design Requirement documents. Enforce best practices in coding standards, architecture, and system design. Communication & Collaboration Ensure clear, effective, and 360-degree communication across technical and non-technical stakeholders. Act as a liaison between development teams and business units to maintain alignment on project goals. At least 10 years of experience leading development teams in a fast-paced environment. - Excellent technical knowledge and exhaustive hands-on experience with Core Java, Python and NodeJS. - Hands-on experience with AI/ML projects and familiarity with OpenAI API will be preferred. - Proven experience managing local and remote teams. - Strong understanding of software development lifecycle (SDLC) and Agile methodologies. - Proficiency in creating and reviewing Technical and Functional Design Requirements documents. Show more Show less

We are thrilled to inform you about an exciting job opportunity at Madlabs Global LLC. Job Title: Copilot Developer Location: Remote Job Summary: We are looking for two experienced Copilot Developers to design, build, and support intelligent solutions using Microsoft Copilot Studio and the Power Platform . The role involves creating custom agents, integrating APIs, and delivering AI-driven solutions across Teams, SharePoint, and Power Automate. Key Responsibilities: Develop custom and declarative agents using Microsoft Copilot Studio Gather business requirements and architect effective Copilot solutions Build and integrate custom connectors and REST APIs Integrate Copilot with Power Platform, Teams, SharePoint, and knowledge bases Support and enhance existing Copilot-based solutions Requirements: Strong experience with Microsoft Power Platform (Power Apps, Power Automate) Proficient in integrating REST APIs, Azure services, and custom connectors Experience with Copilot AI, Azure OpenAI, or similar LLM technologies Strong problem-solving and communication skills Degree in Computer Science, Engineering, or related field. Show more Show less

Technical Skills & Expertise Programming: Expert-level Python (5+ years) – pandas, NumPy, Scikit-learn, FastAPI Strong in SQL and NoSQL (MongoDB, DynamoDB) Machine Learning & Deep Learning: Hands-on with Scikit-learn, PyTorch, and TensorFlow Fine-tuning LLMs using frameworks like HuggingFace Transformers Experience with Agentic AI workflows (e.g., LangChain, AutoGPT) Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio Model deployment using managed services and containers (Docker, ECS, Cloud Run) CI/CD pipelines for ML (GitHub Actions, SageMaker Pipelines, Vertex Pipelines) OpenAI & Generative AI: Prompt engineering, retrieval-augmented generation (RAG), embeddings Integration with OpenAI APIs and model fine-tuning (Davinci, GPT-4-turbo, Gemini) Soft Skills & Mindset Strong research mindset and hunger to explore emerging trends (RLHF, SLMs, foundation models) Proven experience working in fast-paced, agile remote teams Architecture mindset – capable of designing scalable AI/ML systems Business-first thinking – aligns AI solutions with real-world outcomes Skills: sagemaker pipelines,ecs,pytorch,python,nosql,openai apis,sql,aws,vertex pipelines,prompt engineering,langchain,huggingface transformers,docker,scikit-learn, pytorch, and tensorflow,tensorflow,gcp,retrieval-augmented generation,azure,embeddings,scikit-learn,cloud run,autogpt,github actions Show more Show less

AI/LLM Architect Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? Lead and participate in collaborative solutioning sessions with business stakeholders, translating business requirements and challenges into well-defined machine learning/data science use cases and comprehensive AI solution specifications. Architect robust and scalable AI solutions that enable data-driven decision-making, leveraging a deep understanding of statistical modeling, machine learning, and deep learning techniques to forecast business outcomes and optimize performance. Design and implement data integration strategies to unify and streamline diverse data sources, creating a consistent and cohesive data landscape for AI model development. Develop efficient and programmatic methods for synthesizing large volumes of data, extracting relevant features, and preparing data for AI model training and validation. Leverage advanced feature engineering techniques and quantitative methods, including statistical modeling, machine learning, deep learning, and generative AI, to implement, validate, and optimize AI models for accuracy, reliability, and performance. Simplify data presentation to help stakeholders easily grasp insights and make informed decisions. Maintain a deep understanding of the latest advancements in AI and generative AI, including various model architectures, training methodologies, and evaluation metrics. Identify opportunities to leverage generative AI to securely and ethically address business needs, optimize existing processes, and drive innovation. Contribute to project management processes, providing regular status updates, and ensuring the timely delivery of high-quality AI solutions. Primarily responsible for contributing to project delivery and maximizing business impact through effective AI solution architecture and implementation. Occasionally contribute technical expertise during pre-sales engagements and support internal operational improvements as needed. What do you bring to the table? A bachelor's or master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) is required. The ideal candidate will have a strong background in designing and implementing end-to-end AI/ML pipelines, including feature engineering, model training, and inference. Experience with Generative AI pipelines is needed. 8+ years of experience in AI/ML development, with at least 3+ years in an AI architecture role. Fluency in Python and SQL and noSQL is essential. Experience with common data science libraries such as pandas and Scikit-learn, as well as deep learning frameworks like PyTorch and TensorFlow, is required. Hands-on experience with cloud-based AI/ML platforms and tools, such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, or OpenAI, is a must. This includes experience with deploying and managing models in the cloud. Our Core Values People first. We create collaborative and supportive environments by operating with respect and flexibility to promote mental, emotional and physical health. We practice empathy by treating others the way they want to be treated and assuming positive intent. We are proud of our inclusive diverse team and humble ourselves to learn about and build our connection with each other. Patient focused. We act with swift determination without sacrificing our expectations of quality . We are driven by providing exceptional solutions for our customers to positively impact patient lives. Considering what is at stake, we challenge ourselves to develop the best solution, not just the easy one. Integrity. We hold ourselves accountable and strive for transparent communication to build trust amongst ourselves and our customers. We take ownership of our results as we know what we do matters and collectively we will change the healthcare industry. We are thoughtful and intentional with every customer interaction understanding the overall impact on human health. Curious. We ask questions and actively listen in order to learn and continuously improve . We embrace change and the opportunities it presents to make each other better. We strive to be on the cutting edge of science and technology innovation by encouraging creativity. Impactful. We take our social responsibility with the seriousness it deserves and hold ourselves to a high standard. We improve our sustainability by encouraging discussion and taking action as it relates to our natural, social and economic resource footprint. We are devoted to our humanitarian mission and look for new ways to make the world a better place. Velsera is an Equal Opportunity Employer: Velsera is proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, colour, gender, religion, marital status, domestic partner status, age, national origin or ancestry. Show more Show less

Python Software Development Sr.specialist Job Description In these roles, you will be responsible for: Design, implement, and test generative AI models using python and various frameworks such as Pandas, TensorFlow, PyTorch, and OpenAI. Research and explore new techniques and applications of generative AI, such as text, image, audio, and video synthesis, style transfer, data augmentation, and anomaly detection. Collaborate with other developers, researchers, and stakeholders to deliver high-quality and innovative solutions. Document and communicate the results and challenges of generative AI projects. Required Skills for this role include: Technical skills 5 to 7 years’ Experience in developing Python frameworks such DL, ML, Flask At least 2 years of experience in developing generative AI models using python and relevant frameworks. Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Familiar with version control, testing, debugging, and deployment tools. Excellent communication and problem-solving skills. Curious and eager to learn new technologies and domains. Desired Skills: Knowledge of Django, Web API Proficient exposure on MVC. Preferences: Graduate degree in Computer Science with 4 years of Python based development. Gen AI Framework Professional Certification Show more Show less

Python Developer – AI Agent Development (CrewAI + LangChain) Location: Noida / Gwalior (On-site) Experience Required: Minimum 3+ years Employment Type: Full-time 🚀 About the Role We're seeking a Python Developer with hands-on experience in CrewAI and LangChain to join our cutting-edge AI product engineering team. If you thrive at the intersection of LLMs, agentic workflows, and autonomous tooling — this is your opportunity to build real-world AI agents that solve complex problems at scale. You’ll be responsible for designing, building, and deploying intelligent agents that leverage prompt engineering, memory systems, vector databases, and multi-step tool execution strategies. 🧠 Core Responsibilities Design and develop modular, asynchronous Python applications using clean code principles. Build and orchestrate intelligent agents using CrewAI: defining agents, tasks, memory, and crew dynamics. Develop custom chains and tools using LangChain (LLMChain, AgentExecutor, memory, structured tools). Implement prompt engineering techniques like ReAct, Few-Shot, and Chain-of-Thought reasoning. Integrate with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities. Use semantic search and vector stores (FAISS, Chroma, Pinecone, etc.) to build RAG pipelines. Extend tool capabilities: web scraping, PDF/document parsing, API integrations, and file handling. Implement memory systems for persistent, contextual agent behavior. Leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deploy containerized applications using Docker, Git, and modern Python packaging tools. 🛠️ Must-Have Skills Python 3.x (Async, OOP, Type Hinting, Modular Design) CrewAI (Agent, Task, Crew, Memory, Orchestration) – Must Have LangChain (LLMChain, Tools, AgentExecutor, Memory) Prompt Engineering (Few-Shot, ReAct, Dynamic Templates) LLMs & APIs (OpenAI, HuggingFace, Anthropic) Vector Stores (FAISS, Chroma, Pinecone, Weaviate) Retrieval-Augmented Generation (RAG) Pipelines Memory Systems: BufferMemory, ConversationBuffer, VectorStoreMemory Asynchronous Programming (asyncio, LangChain hooks) DSA / Algorithms (Graphs, Queues, Recursion, Time/Space Optimization) 💡 Bonus Skills Experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics) Familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring) DevOps familiarity (Docker, GitHub Actions, Pipenv/Poetry) 🧭 Why Join Us? Work on cutting-edge LLM agent architecture with real-world impact. Be part of a fast-paced, experiment-driven AI team. Collaborate with passionate developers and AI researchers. Opportunity to build from scratch and influence core product design. If you're passionate about building AI systems that can reason, act, and improve autonomously — we’d love to hear from you! 📩 Drop your resume and GitHub to sameer.khan@techcarrel.com. Show more Show less

Position: Python Intern specializing in AI Location : Bhopal, Madhya Pradesh (Work from Office) Duration: 3 to 6 Months ✅ Must-Have Skills Core Python Programming: Functions, loops, list comprehensions, classes Error handling (try-except), logging File I/O operations, working with JSON/CSV Python Libraries for AI/ML: numpy, pandas – Data manipulation & analysis matplotlib, seaborn – Data visualization scikit-learn – Classical machine learning models Basic familiarity with tensorflow or pytorch Working knowledge of Openai / Transformers (bonus) AI/ML Fundamentals: Supervised and unsupervised learning (e.g., regression, classification, clustering) Concepts of overfitting, underfitting, and bias-variance tradeoff Train-test split, cross-validation Evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix Data Preprocessing: Handling missing data, outliers Data normalization, encoding techniques Feature selection & dimensionality reduction (e.g., PCA) Jupyter Notebook Proficiency: Writing clean, well-documented notebooks Using markdown for explanations and visualizing outputs Version Control: Git basics (clone, commit, push, pull) Using GitHub/GitLab for code collaboration ✅ Good-to-Have Skills Deep Learning: Basic understanding of CNNs, RNNs, transformers Familiarity with keras or torch.nn for model building Generative AI: Prompt engineering, working with LLM APIs like OpenAI or Hugging Face Experience with vector databases (Qdrant, FAISS) NLP: Tokenization, stemming, lemmatization TF-IDF, Word2Vec, BERT basics Projects in sentiment analysis or text classification Tools & Platforms: VS Code, JupyterLab Google Colab / Kaggle Docker (basic understanding) Math for AI: Linear algebra, probability & statistics Basic understanding of gradients and calculus ✅ Soft Skills & Project Experience Participation in mini-projects (e.g., spam detector, digit recognizer) Kaggle competition experience Ability to clearly explain model outputs and results Documenting findings and creating simple dashboards or reports. Job Types: Full-time, Internship Pay: From ₹5,000.00 per month Schedule: Day shift Work Location: In person

About TwoSD (2SD Technologies Limited) TwoSD is the innovation engine of 2SD Technologies Limited , a global leader in product engineering, platform development, and advanced IT solutions. Backed by two decades of leadership in technology, our team brings together strategy, design, and data to craft transformative solutions for global clients. Our culture is built around cultivating talent, curiosity, and collaboration. Whether you're a career technologist, a self-taught coder, or a domain expert with a passion for real-world impact, TwoSD is where your journey accelerates. Join us and thrive. At 2SD Technologies, we push past the expected—with insight, integrity, and a passion for making things better. Role Overview We are hiring a Solution Architect with a proven track record in SaaS platform architecture , AI-driven solutions , and CRM/enterprise systems like Microsoft Dynamics 365 . This is a full-time position based in Gurugram, India , for professionals who thrive on solving complex problems across cloud, data, and application layers. You’ll design and orchestrate large-scale platforms that blend intelligence , automation , and multi-tenant scalability —powering real-time customer experiences, operational agility, and cross-system connectivity. Key Responsibilities Architect cloud-native SaaS solutions with scalability, modularity, and resilience at the core Design end-to-end technical architectures spanning CRM systems , custom apps , AI services , and data pipelines Lead technical discovery, solution workshops, and architecture governance with internal and client teams Drive the integration of Microsoft Dynamics 365 with other platforms including AI/ML services and business applications Create architectural blueprints and frameworks for microservices, event-driven systems, and intelligent automation Collaborate with engineers, data scientists, UX/UI designers, and DevOps teams to deliver platform excellence Oversee security, identity, compliance, and performance in high-scale environments Evaluate and introduce modern tools, frameworks, and architectural patterns for enterprise innovation Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s is a plus) 7+ years of experience in enterprise application architecture Hands-on expertise in Microsoft Dynamics 365 CE/CRM with complex integrations Experience architecting and delivering SaaS applications on cloud platforms (preferably AWS/Azure/GCP) Familiarity with LLM APIs , AI orchestration tools , or machine learning workflows Proven ability to lead multi-team and multi-technology architecture efforts Deep understanding of security , multi-tenancy , data privacy , and compliance standards Preferred Qualifications Microsoft Certified: Dynamics 365 + Azure/AWS Architect certifications Experience with AI platform components like OpenAI, LangChain, or Azure/AWS Services Experience designing or re-architecting legacy monoliths into cloud-native microservices Familiarity with DevOps and Infrastructure as Code (IaC) practices using Terraform or Bicep Experience integrating event-based systems using AWS, Azure Event Grid, Service Bus, or Kafka Exposure to enterprise observability tools and performance monitoring strategies Core Competencies Enterprise SaaS Architecture Cloud-Native Platform Design (Azure preferred) CRM + AI Integration Strategy End-to-End System Thinking Cross-Functional Collaboration & Mentorship Future-Proof Solution Design & Documentation Tools & Platforms CRM/ERP: Microsoft Dynamics 365 CE, Power Platform, Dataverse AI & Data: OpenAI, AWS SageMaker, AWS Bedrock, Azure Cognitive Services, LangChain, MLflow Cloud: Azure (App Services, API Management, Logic Apps, Functions, Cosmos DB) DevOps & IaC: GitHub Actions, Azure DevOps, Terraform, Bicep Integration: REST/GraphQL APIs, Azure Service Bus, Event Grid, Kafka Modeling & Docs: Lucidchart, Draw.io, ArchiMate, PlantUML Agile & Collaboration: Jira, Confluence, Slack, MS Teams Why Join TwoSD? At TwoSD , innovation isn’t a department—it’s a mindset. Here, your voice matters, your expertise is valued, and your growth is supported by a collaborative culture that blends mentorship with autonomy. With access to cutting-edge tools, meaningful projects, and a global knowledge network, you’ll do work that counts—and evolve with every challenge. Solution Architect – SaaS Platforms, AI Solutions & Enterprise CRM Position: Solution Architect Location: Gurugram, India (Onsite/Hybrid) Company: TwoSD (2SD Technologies Limited) Industry: Enterprise Software / CRM / Cloud Platforms Employment Type: Permanent Date Posted: 26 May 2025 How to Apply To apply, send your resume and technical portfolio or project overview to hr@2sdtechnologies.com or visit our LinkedIn careers page. Show more Show less

The New Ways B.V. is a highly international, fast-growing company with over 25 years in the gift items and smoking products industry. Our brand portfolio includes G-Rollz, and we collaborate with global icons and celebrities such as Banksy, Hello Kitty, and Jimi Hendrix: making ours one of the most brand-rich lineups in the market. Headquartered in Amsterdam with a strategic office and factory in Noida SEZ, we’re expanding our India team and looking for ambitious talent to grow with us. Position Overview: We are seeking a highly skilled AI Integration Specialist to lead the development and implementation of intelligent automation solutions across our business systems. This role will focus on integrating AI into core platforms such as ERP systems (e.g., NetSuite), project management tools, and e-commerce platforms like Shopify, to streamline operations and improve decision-making. The ideal candidate will also bring experience in deploying AI-driven enhancements across communication and marketing channels including websites, Gmail, WhatsApp, Facebook, and Instagram. Key Responsibilities: Design and deploy AI-driven tools to automate workflows across ERP systems, e-commerce platforms, and internal project management environments Integrate AI functionality into Shopify, NetSuite, and productivity tools to enhance operational efficiency and cross-platform connectivity Collaborate with business and technical teams to identify automation opportunities and deliver practical, high-impact AI solutions Extend AI capabilities across customer engagement platforms such as websites, WhatsApp, Gmail, Facebook, and Instagram Ensure all implementations are scalable, secure, and aligned with company goals Continuously monitor and optimize system performance using real-time analytics and stakeholder feedback Qualifications: Minimum 3 years of experience in AI development and system integration Strong knowledge of AI frameworks, APIs, and tools (e.g., OpenAI, Dialogflow, Rasa, etc.) Proven ability to deploy AI solutions on communication and marketing platforms Strong problem-solving skills and the ability to translate business needs into technical solutions Excellent communication skills and experience working in cross-functional teams What We Offer: Starting from salary: ₹12,00,000 per year Opportunity to work with a fast-growing international company Creative freedom and high-impact work across global channels A collaborative and forward-thinking work environment Show more Show less

Job Purpose: We are seeking a dynamic and strategic AI Business Manager to lead local market demand research, user insight generation, and competitive analysis for AI products. This role will bridge the gap between technical innovation and localized market needs, ensuring the successful deployment and adoption of AI features across regions. Core Responsibilities: AI Demand Insights: Analyze target markets to identify user needs, cultural nuances, and emerging application scenarios relevant to AI innovation. Crowd Insights: Interpret user behavior and pinpoint key use-case scenarios and challenges faced by specific demographic segments. AI Industry & Competitor Analysis: Conduct comprehensive research on global and regional AI trends, including developments in AI + IoT, to produce actionable insights and competitor benchmarking reports. AI Feature Evaluation & Acceptance: Design and execute evaluation frameworks for AI product features. Ensure compliance with technical and usability standards, identify gaps, provide timely feedback, and drive continuous improvement. Candidate Profile: Basic Qualifications: Age Range: 28–35 years Education: Master’s degree or above in Computer Science, Artificial Intelligence, Data Science, Product Management, or related fields Languages: Fluent in English (mandatory); proficiency in Chinese or a language relevant to the target market is an added advantage Professional Experience: 3–5 years of experience in AI user research, product insights, or related functions Exposure to mobile AI products, smart hardware, or mobile applications preferred Proven track record of leading or contributing to projects involving AI product evaluations, market insights, or competitor studies. Key Competencies: Product Thinking: Demonstrates maturity in evaluating AI features through a user-centric and business-impact lens Cross-Cultural Communication: Strong interpersonal skills to coordinate with technical teams, marketing partners, and external stakeholders across geographies Learning Agility: Quick to adapt and learn new AI technologies and evolving market dynamics Strategic Mindset: Ability to align localized insights with global AI product vision. Preferred Skills Experience working with leading mobile phone brands (e.g., Apple, Samsung, Huawei) or renowned AI firms (e.g., Google, OpenAI, DeepMind) Familiarity with AI industry certifications, standards, or frameworks Show more Show less

you a Full Stack Engineer passionate about AI, automation , and transforming the way businesses communicate? At InfotechLaunch.com , were on a mission to modernize and automate mundane tasks through smart AI Voice Agents and advanced full-stack applications. Were looking for builders and problem-solvers engineers who dont just code but innovate, optimize, and deliver with passion and precision. This is a full-time, fully remote position for someone who thrives in a fast-paced environment, enjoys direct interaction with clients, and is committed to delivering AI solutions that work every time. Your Role Architect AI Voice Systems Build intelligent AI Voice Agents using Retell , Vapi.ai , and integrate OpenAI GPT-4 , Google Vertex AI , and custom LLMs. Implement natural-sounding conversations , task automation, and real-time event handling. Full-Stack Development Develop scalable, secure, and performant applications with Node.js , Python , Flutter , and React . Build intuitive frontends and powerful backends that integrate seamlessly with AI. UI/UX expert with hands-on experience designing applications using Figma, Adobe XD, and Sketch. Prompt Engineering & LLM Integration Craft effective prompts, design agent logic, and fine-tune LLM-based workflows for real-world tasks. Cloud Infrastructure & DevOps Design and manage cloud infrastructure on AWS , GCP , or Azure , with CI/CD pipelines , Docker , and Kubernetes . Automate testing, deployment, and monitoring of production environments. API & CRM Integration with Make.com Create smart automation using Make.com , Cal.com , Zapier , and integrate with CRMs like HubSpot , Zoho , and Pipedrive . Confidently read and implement API docs, troubleshoot and optimize flows. Direct Client Collaboration Work closely with clients to build, test, and refine solutions. Gather feedback, improve models, and deliver impactful outcomes. What We Expect 89 hours/day of focused, committed remote work Excitement to work with real clients and improve real products A passion for clean code , clear communication , and continuous improvement Required Skills 5+ years of experience in Full Stack Development (Node.js, Python, Flutter, React/Next.js) 23 years working with AI APIs , LLMs , and conversational AI workflows Experience building AI Voice Agents using Retell, Vapi.ai, or similar Deep knowledge of Prompt Engineering and LLM optimization Proficiency in Flutter for mobile and React/Next.js for web Cloud DevOps: AWS/GCP/Azure, CI/CD pipelines, Docker/Kubernetes Strong background in Make.com , Zapier, Cal.com, and REST API integrations CRM Integration: HubSpot, Zoho, Pipedrive Strong debugging, version control (Git), and documentation skills Bonus Skills Voice tech: Whisper, Google Speech, ElevenLabs AI search: LangChain, Pinecone, Weaviate NLP tools: spaCy, HuggingFace Transformers Payment/Bookings: Stripe, Twilio, Firebase Auth What You Get Opportunity to innovate real-world AI workflows Work from anywhere , flexible yet committed Performance-based compensation after 1st month Direct access to clients, decision-makers, and leadership Be part of a fast-growing company using AI to change industries Mentorship and guidance to advance your career and technical depth How to Apply Send us your: Resume / LinkedIn GitHub / Portfolio Details on past AI Voice Agent, Make.com, LLM work Note on why youre excited to automate the future with us! If you align with our expectations and agree to the terms and conditions, please send a message on WhatsApp to +91 81097 31880 to discuss further. Skills : - AI Voice Agent, Full Stack Developer, Python, Node.js, Flutter, React, OpenAI, ChatGPT, Google Vertex AI, Conversational AI, Retell, Make.com, LLM, Prompt Engineering, Cloud Infrastructure, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Remote Work, AI Developer, API Integration, Digital Transformation, AI Applications, NLP, Speech Recognition, VOPI, AI Hiring, CRM Integrations

Summary Position Summary Sr. GenAI Engineer – Manager Role Overview: As a Sr. GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications: A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. 10-13 years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Work Location: Hyderabad Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 210107 Show more Show less

Company Description MindBrain is a dynamic software company that integrates innovation, education, and strategic workforce solutions. As pioneers in cutting-edge solutions, we shape the future of technology. Our dedication to education empowers individuals with the skills needed to lead in a rapidly evolving landscape. We also connect businesses with the right talent at the right time to drive success through impactful collaborations. Role Description This is a contract remote role for a Senior Python Developer at MindBrain. The Senior Python Developer will be responsible for back-end web development, software development, object-oriented programming (OOP), programming, and databases. Qualifications Fluency in Python and SQL and noSQL is essential. Experience with common data science libraries such as pandas and Scikit-learn, as well as deep learning frameworks like PyTorch and TensorFlow, is required. Hands-on experience with cloud-based AI/ML platforms and tools, such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, or OpenAI, is a must. This includes experience with deploying and managing models in the cloud. Experience with fine tuning models with different technologies. Experience with Agentic AI workflows. Hungry to learn and stay adopt with all the advancements in AI world Architect robust and scalable AI solutions that enable data-driven decision-making, leveraging a deep understanding of statistical modeling, machine learning, and deep learning techniques to forecast business outcomes and optimize performance. Show more Show less