3970 Openai Jobs - Page 7

Sprinto is a leading platform that automates information security compliance. By raising the bar on information security, Sprinto ensures compliance, healthy operational practices, and the ability for businesses to grow and scale with unwavering confidence. We are a team of 300+ employees & helping 2500+ Customers across 75+ Countries . We are funded by top investment partners Accel, ELEVATION & Blume Ventures and have raised 32 Million USD in funding, including our latest Series B round. We’re seeking a hands-on Marketing Automation Engineer to lead the integration and automation of our GTM tech stack. You’ll work at the intersection of marketing, operations, and AI connecting tools like HubSpot, OpenAI, Pabbly, Zapier, and n8n to build scalable workflows that reduce manual effort and accelerate conversions. This role is ideal for someone who thrives in fast-paced environments, enjoys solving technical problems with low-code and API-based solutions, and is excited about using automation and AI to supercharge marketing operations. What You’ll Build & Automate Integrate and automate tools across the GTM stack (e.g., HubSpot Zapier OpenAI Sheets n8n/Pabbly). Build scalable workflows for lead capture, enrichment, scoring, routing, and follow-ups Collaborate with marketing and sales teams to identify process gaps and deploy automation-based fixes Set up smart triggers using APIs, webhooks, or no-code platforms for personalized and timely engagement Use OpenAI or LLMs to summarize lead data, write follow-up content, and generate insights Monitor workflow performance and debug automation issues across the funnel Maintain documentation and versioning for all critical integrations What You Bring to the Table: 2–5 years of experience in marketing operations, GTM engineering, or automation-focused roles Strong hands-on experience with Zapier, Pabbly, n8n, or other low-code automation tools Good understanding of HubSpot CRM Experience using OpenAI APIs (e.g., GPT-4) to automate or enhance marketing processes Ability to work with APIs, webhooks, and JSON for custom integrations Familiarity with basic JavaScript, Python, or Node.js is a plus Exposure to B2B marketing/sales funnels, lead routing, and lifecycle management Good to Have: Experience working with LLM frameworks such as LangChain or RAG pipelines to create smart content or lead engagement workflows Exposure to fine-tuning or prompt engineering for tools like OpenAI or similar APIs Exposure to no-code or low-code AI platforms (e.g., Agentic AI, Lovable) to prototype, deploy, and orchestrate AI workflows with minimal coding effort Why You'll Love Working Here: You’ll help build the modern GTM engine from the ground up Opportunity to work with cutting-edge tools at the intersection of automation, AI, and marketing Freedom to experiment, test, and implement solutions directly impacting growth and efficiency Benefits Remote First Policy 5 Days Working With FLEXI Hours Group Medical Insurance (Parents, Spouse, Children) Group Accident Cover Company-Sponsored Device Education Reimbursement Policy Marketing_POD

Job Title: Marketing Technologist (Full Stack) About the Role CurrentWare is scaling rapidly — and we need a technical growth enabler to keep our marketing infrastructure blazing fast, AI-visible, and automation-ready. As our Marketing Technologist (Full Stack), you’ll work across performance engineering, CRM pipelines, analytics, and emerging AI visibility tactics to ensure our site and stack are optimized for growth. You’ll collaborate with a high-performance team of content marketers, designers, SEO experts, and email specialists to accelerate lead generation, experiment velocity, and digital experience quality. Key Responsibilities Website Performance & Core Web Vitals Optimize WordPress for Core Web Vitals (LCP, CLS, TTFB) Tune hosting (Rocket.net, WPEngine), caching (object/page), and CDN rules (Cloudflare) Set up and maintain monitoring (PageSpeed Insights, Core web vitals) Proactively fix and reduce load/interaction times across mobile and desktop Technical SEO & AI/LLM Visibility Implement structured data (FAQ, HowTo, Article, Breadcrumbs) Manage sitemap health, canonical URLs, hreflang, and robots.txt Enable content indexing in LLMs like ChatGPT, Bing Copilot, Perplexity, Claude and so on Explore AI-first SEO via page summaries, OpenAI feeds, schema metadata enrichment CRM, Attribution & Stack Integration Manage Zoho and HubSpot syncing, custom fields, lead scoring, and lifecycle tagging Build automations using Zapier/Make and connect tools like rb2b, etc. Ensure robust attribution via UTMs, cookies, hidden fields, and form tracking Debug CRM sync issues, attribution leaks, and webhook failures Analytics, Tagging & Reporting Own Google Tag Manager and GA4 implementation Create and manage custom dataLayer variables for consistent tracking Track and report on CTA usage, form abandonments, funnel progression, and traffic quality Build Looker Studio dashboards that tie traffic to pipeline Campaign Support & UX Collaboration Develop fast, responsive landing pages with A/B testing capability Build reusable components and mini-apps for experiments, quizzes, tools QA live pages across devices, breakpoints, and user flows Security, Maintenance & DevOps Manage backup workflows, staging to production deployments, and uptime monitoring Enforce SSL, WAF, CSP headers, and plugin-level security best practices Identify and resolve conflicts across plugins, scripts, or theme updates Advanced Responsibilities (Nice-to-Haves) Server-side tagging (GTM server container, first-party tracking setups) Reverse-IP-based personalization (e.g. via rb2b + CRM merge tags) Content feed optimization for retrieval-augmented generation (RAG) in AI tools Hybrid/headless CMS migration planning (e.g., blog → Sanity or Next.js) Required Experience 3–6 years working across WordPress, marketing tech, and integrations Expert in HTML, CSS, JS, PHP — with performance debugging skills Familiar with CRMs (Zoho, HubSpot), GTM, GA4, Cloudflare, Looker Studio Experience with APIs, webhooks, and martech automation platforms Bonus Skills Experience with AI/LLM SEO visibility strategies Familiarity with rb2b or similar tools Built or maintained large-scale content-driven sites or headless frontends Exposure to SEO automation, content injection, or programmatic publishing Remote or hybrid (India-based candidates preferred) Collaboration You’ll work closely with: Content Marketer – for SEO-optimized publishing and LLM readiness Email Marketer – for CRM syncing, lead tracking, and campaign flows Technical SEO + Junior Dev – to implement and scale ranking strategies UI Designer – to execute high-conversion landing pages and experiments 📩 To Apply Send your resume, portfolio, and any past site or SEO performance metrics you’ve influenced. We’re looking for sharp executors who enjoy solving messy growth problems with clean code, fast load speeds, and clever automation.

AI and Data Architecture Leadership  Design enterprise-grade AI and data architectures that combine structured and unstructured data, analytics, and advanced AI models (including GenAI, LLMs, and cognitive services).  Define scalable data pipelines and lakehouse/lake-centric architectures that power machine learning models and real-time analytics.  Architect multi-cloud AI/ML solutions with Microsoft Azure.  Architect LLM-powered solutions using both main streams Cloud based AI LLM such as Azure OpenAI and self-hosted open-source models (e.g., LLaMA, Mistral, Falcon) tailored to customer environments.  Have an understanding of the Architecture and what is required to deploy LLM’s within Customer’s Private DC environment to include infrastructure, data , applications etc. Solution Design & Governance  Lead architectural reviews of high-value deals, identifying technical risks and mitigation strategies.  Develop standard design patterns for all solution / portfolio offers. The reusable design blueprints will form the basis of the 70/30 Solution Hub approach where solutions should conform to 70% standard design with a maximum of 30% customisation. This approach is critical in ensuring that we conduct repeatable business which reduces risk and accelerators to streamline delivery and rapid time to value for customers. Customer Engagement  Present technical solutions to C-suite clients, demonstrating ROI and alignment with their goals.  Collaborate with sales teams to scope complex opportunities and craft compelling proposals. Portfolio Innovation  Foster a culture of innovation and forward-thinking within the CTO, Sales and Pre-sales Teams. React swiftly to changes in the business environment and implement solutions that support the company's growth and agility. Sensitivity: COMMERCIALLY CONFIDENTIAL  Define best practices for solution architecture, ensuring compliance with, security and scalability standards.  Mentor delivery teams on architectural frameworks and emerging tech adoption. Strategic Leadership  Develop and implement the Architecture strategy aligned with the company's overall business objectives. Provide visionary leadership to drive technological innovation and digital transformation. Microsoft Expertise  Utilize knowledge and experience in Azure, MS D365 to support the CTO Office provide architectural leadership and assist the CRO organization with product and solution offers. AI Expertise  Advise and drive the implementation of new technologies, particularly in the field of AI, to ensure we are a best-in-class example to our customers of being an AI enabled company.  Awareness of ethical considerations, data privacy / education, bias, and security in AI deployment Security and Compliance  Have an appreciation of IT security and compliance across the CTO, Sales, Product and portfolio organization for the solutions we are selling and managing for our customers. Vendor Management  Manage relationships with external IT vendors, contractors, and service providers. Collaborate with Legal and Procurement to negotiate contracts and ensure the delivery of high-quality services. Team Leadership  Lead, mentor, and develop the CTO team, fostering a collaborative and high-performance culture that supports a business enablement and customer first mindset. Ensure the team is equipped with the necessary skills and knowledge to meet the market and company’s needs. Sensitivity: COMMERCIALLY CONFIDENTIAL Skills  Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent applications at enterprise scale.  Demonstrable experience deploying local LLMs in production environments, including integration with LangChain, databases, and private storage.  Strong knowledge of enterprise architecture frameworks, cloud platforms, and emerging technologies.  Working knowledge of designing solutions that include Networks (Voice and Data), Hyperscaler environments (Main focus on Azure), Micro services, Business applications, Resilience, DR, Business Continuity, Security and how all these elements need to be considered when designing an e2e solution.  Understands what is involved for OnPrem / Private Cloud workload migration to Cloud environments or Hybrid cloud environments  Has had experience of working with Large Enterprise customers.  Proficiency in AI/ML, Cybersecurity frameworks, CX platforms, and Microsoft Cloud (Azure, M365, D365).  Excellent communication, presentation, and interpersonal skills.  Ability to build relationships with C-level executives, technical teams, and business stakeholders.  Commercial appreciation of being able to articulate the commercial benefits of using cloud based applications to customers.  Strong problem-solving skills and a proactive approach to challenges.  Experience with cloud computing, Data Centre and virtualization technologies.  Experience in Enterprise Architecture, Security policies/processes and solutions  Experience in government, travel, healthcare, Banking & finance, or manufacturing industries is a plus.

Job Role- Senior AI Developer Job Type- Full-Time Work Mode- Remote We’re seeking a Senior AI Developer with a strong background in building and deploying AI/ML-powered applications in production environments. This role is ideal for someone passionate about working with Large Language Models , Conversational AI , and cutting-edge AI infrastructure . Core Requirements: 5+ years of software development experience, with 2–3 years in AI/ML applications. Expert-level Python skills and deep knowledge of the AI/data science ecosystem. LLM expertise : Prompt engineering, RAG pipelines, and model fine-tuning. Conversational AI : NLU, dialogue management, and integration with STT/TTS APIs (e.g., OpenAI, Azure Speech, ElevenLabs). Solid grasp of system design , API architecture , and building scalable, low-latency systems. Preferred Skills: Hands-on experience with LangChain or LangGraph for complex agent workflows. Familiarity with cloud infrastructure (AWS), Docker/Kubernetes , and CI/CD. Experience with vector databases (Pinecone, Qdrant, Milvus, etc.). Bonus: Basic frontend development (React/Vue) and real-time voice streaming or STT model deployment (e.g., Whisper).

Join us as a Solution Architect This is an opportunity for an experienced Solution Architect to help us define the high-level technical architecture and design for a key data analytics and insights platform that powers the personalised customer engagement initiatives of the business You’ll define and communicate a shared technical and architectural vision of end-to-end designs that may span multiple platforms and domains Take on this exciting new challenge and hone your technical capabilities while advancing your career and building your network across the bank We're offering this role at vice president level What you'll do We’ll look to you to influence and promote the collaboration across platform and domain teams on the solution delivery. Partnering with platform and domain teams, you’ll elaborate the solution and its interfaces, validating technology assumptions, evaluating implementation alternatives, and creating the continuous delivery pipeline. You’ll also provide analysis of options and deliver end-to-end solution designs using the relevant building blocks, as well as producing designs for features that allow frequent incremental delivery of customer value. On Top Of This, You’ll Be Owning the technical design and architecture development that aligns with bank-wide enterprise architecture principles, security standards, and regulatory requirements Participating in activities to shape requirements, validating designs and prototypes to deliver change that aligns with the target architecture Promoting adaptive design practices to drive collaboration of feature teams around a common technical vision using continuous feedback Making recommendations of potential impacts to existing and prospective customers of the latest technology and customer trends Engaging with the wider architecture community within the bank to ensure alignment with enterprise standards Presenting solutions to governance boards and design review forums to secure approvals Maintaining up-to-date architectural documentation to support audits and risk assessment The skills you'll need As a Solution Architect, you’ll bring expert knowledge of application architecture, and in business data or infrastructure architecture with working knowledge of industry architecture frameworks such as TOGAF or ArchiMate. You’ll also need an understanding of Agile and contemporary methodologies with experience of working in Agile teams. A certification in cloud solutions like AWS Solution Architect is desirable while an awareness of agentic AI based application architectures using LLMs like OpenAI and agentic frameworks like LangGraph, CrewAI will be advantageous. Furthermore, You’ll Need Strong experience in solution design, enterprise architecture patterns, and cloud-native applications including the ability to produce multiple views to highlight different architectural concerns A familiarity with understanding big data processing in the banking industry Hands-on experience in AWS services, including but not limited to S3, Lambda, EMR, DynamoDB and API Gateway An understanding of big data processing using frameworks or platforms like Spark, EMR, Kafka, Apache Flink or similar Knowledge of real-time data processing, event-driven architectures, and microservices Conceptual understanding of data modelling and analytics, machine learning or deep-learning models The ability to communicate complex technical concepts clearly to peers and leadership level colleagues

Job Title: Product Owner / Subject Matter Expert (AI & Data) Experience Required: 10+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Product Owner / Subject Matter Expert (AI & Data) will lead the definition, prioritization, and successful delivery of intelligent, data-driven products by aligning business needs with AI/ML and data platform capabilities. Acting as a bridge between stakeholders, data engineering teams, and AI developers, this role ensures that business goals are translated into actionable technical requirements. The candidate will manage product backlogs, define epics and features, and guide cross-functional teams throughout the product development lifecycle. They will play a crucial role in driving innovation, ensuring data governance, and realizing value through AI-enhanced digital solutions. Key Responsibilities: Define and manage the product roadmap across AI and data domains based on business strategy and stakeholder input. Translate business needs into technical requirements, user stories, and use cases for AI and data-driven applications. Collaborate with data scientists, AI engineers, and data engineers to prioritize features, define MVPs, and validate solution feasibility. Lead backlog refinement, sprint planning, and iteration reviews across multidisciplinary teams. Drive the adoption of AI models (e.g., LLMs, classification, prediction, recommendation) and data pipelines that support operational goals. Ensure inclusion of data governance, lineage, and compliance requirements in product development. Engage with business units to define KPIs and success metrics for AI and analytics products. Document product artifacts such as PRDs, feature definitions, data mappings, model selection criteria, and risk registers. Facilitate workshops, stakeholder demos, and solution walkthroughs to ensure ongoing alignment. Support responsible AI practices and secure data sharing standards. Technical Skills: Product Management Tools: Azure DevOps, Jira, Confluence AI/ML Concepts: LLMs, NLP, predictive analytics, computer vision, generative AI AI Tools: OpenAI, Azure OpenAI, MLflow, LangChain, prompt engineering Data Platforms: Azure Data Factory, Databricks, Synapse Analytics, Purview, SQL, NoSQL Data Governance: Metadata management, data lineage, PII handling, classification standards Documentation: PRDs, data dictionaries, process flows, KPI dashboards Methodologies: Agile/Scrum, backlog management, MVP delivery Qualification: Bachelors or Master’s in Computer Science, Data Science, Information Systems, or a related field. Preferred Certifications: Microsoft Certified (Azure AI Engineer Associate / Azure Data Fundamentals / Azure Data Engineer Associate). 10+ years of experience in product ownership, business analysis, or solution delivery in AI and data-centric environments. Proven success in delivering AI-enabled products and scalable data platforms. Strong communication, stakeholder facilitation, and technical documentation skills.

Argus is where smart people belong and where they can grow. We answer the challenge of illuminating markets and shaping new futures. What We’re Looking For Join our Generative AI team as a Senior Data Scientist, reporting directly to the Lead Data Scientist in India. You will play a crucial role in building, optimizing, and maintaining AI-ready data infrastructure for advanced Generative AI applications. Your focus will be on hands-on implementation of cutting-edge data extraction, curation, and metadata enhancement techniques for both text and numerical data. You will be a key contributor to the development of innovative solutions, ensuring rapid iteration and deployment, and supporting the Lead in achieving the team's strategic goals. What Will You Be Doing AI-Ready Data Development: Design, develop, and maintain high-quality AI-ready datasets, ensuring data integrity, usability, and scalability to support advanced generative AI models. Advanced Data Processing: Drive hands-on efforts in complex data extraction, cleansing, and curation for diverse text and numerical datasets. Implement sophisticated metadata enrichment strategies to enhance data utility and accessibility for AI systems. Algorithm Implementation & Optimization: Implement and optimize state-of-the-art algorithms and pipelines for efficient data processing, feature engineering, and data transformation tailored for LLM and GenAI applications. GenAI Application Development: Apply and integrate frameworks like LangChain and Hugging Face Transformers to build modular, scalable, and robust Generative AI data pipelines and applications. Prompt Engineering Application: Apply advanced prompt engineering techniques to optimize LLM performance for specific data extraction, summarization, and generation tasks, working closely with the Lead's guidance. LLM Evaluation Support: Contribute to the systematic evaluation of Large Language Models (LLMs) outputs, analysing quality, relevance, and accuracy, and supporting the implementation of LLM-as-a-judge frameworks. Retrieval-Augmented Generation (RAG) Contribution: Actively contribute to the implementation and optimization of RAG systems, including working with embedding models, vector databases, and, where applicable, knowledge graphs, to enhance data retrieval for GenAI. Technical Mentorship: Act as a technical mentor and subject matter expert for junior data scientists, providing guidance on best practices in coding and PR reviews, data handling, and GenAI methodologies. Cross-Functional Collaboration: Collaborate effectively with global data science teams, engineering, and product stakeholders to integrate data solutions and ensure alignment with broader company objectives. Operational Excellence: Troubleshoot and resolve data-related issues promptly to minimize potential disruptions, ensuring high operational efficiency and responsiveness. Documentation & Code Quality: Produce clean, well-documented, production-grade code, adhering to best practices for version control and software engineering. Skills And Experience Academic Background: Advanced degree in AI, statistics, mathematics, computer science, or a related field. Programming and Frameworks: 2+ years of hands-on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face. GenAI Tools: 1+ years Practical experience with LangChain, Hugging Face Transformers, and embedding models for building GenAI applications. Prompt Engineering: Deep expertise in prompt engineering, including prompt tuning, chaining, and optimization techniques. LLM Evaluation: Experience evaluating LLM outputs, including using LLM-as-a-judge methodologies to assess quality and alignment. RAG and Knowledge Graphs: Practical understanding and experience using vector databases. In addition, familiarity with graph-based RAG architectures and the use of knowledge graphs to enhance retrieval and reasoning would be a strong plus. Cloud: 2+ years of experience with Gemini/OpenAI models and cloud platforms such as AWS, Google Cloud, or Azure. Proficient with Docker for containerization. Data Engineering: Strong understanding of data extraction, curation, metadata enrichment, and AI-ready dataset creation. Collaboration and Communication: Excellent communication skills and a collaborative mindset, with experience working across global teams. What’s In It For You Our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success. Competitive salary Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted) Group healthcare scheme 18 days annual leave 8 days of casual leave Extensive internal and external training Hours This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus’ key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11am to 8pm with each member of the team participating up to 2/3 times a week. Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

Argus is where smart people belong and where they can grow. We answer the challenge of illuminating markets and shaping new futures. What We’re Looking For Join our Generative AI team to lead a new group in India, focused on creating and maintaining AI-ready data. As the point of contact in Mumbai, you will guide the local team and ensure seamless collaboration with our global counterparts. Your contributions will directly impact the development of innovative solutions used by industry leaders worldwide, supporting text and numerical data extraction, curation, and metadata enhancements to accelerate development and ensure rapid response times. You will play a pivotal role in transforming how our data are seamlessly integrated with AI systems, paving the way for the next generation of customer interactions. What Will You Be Doing Lead and Develop the Team: Oversee a team of data scientists in Mumbai. Mentoring and guiding junior team members, fostering their professional growth and development. Strategic Planning: Develop and implement strategic plans for data science projects, ensuring alignment with the company's goals and objectives. AI-Ready Data Development: Design, develop, and maintain high-quality AI-ready datasets, ensuring data integrity, usability, and scalability to support advanced Generative AI models. Advanced Data Processing: Drive hands-on efforts in complex data extraction, cleansing, and curation for diverse text and numerical datasets. Implement sophisticated metadata enrichment strategies to enhance data utility and accessibility for AI systems. Algorithm Implementation & Optimization: Implement and optimize state-of-the-art algorithms and pipelines for efficient data processing, feature engineering, and data transformation tailored for LLM and GenAI applications. GenAI Application Development: Apply and integrate frameworks like LangChain and Hugging Face Transformers to build modular, scalable, and robust Generative AI data pipelines and applications. Prompt Engineering Application: Apply advanced prompt engineering techniques to optimize LLM performance for specific data extraction, summarization, and generation tasks, working closely with the Lead's guidance. LLM Evaluation Support: Contribute to the systematic evaluation of Large Language Models (LLMs) outputs, analysing quality, relevance, and accuracy, and supporting the implementation of LLM-as-a-judge frameworks. Retrieval-Augmented Generation (RAG) Contribution: Actively contribute to the implementation and optimization of RAG systems, including working with embedding models, vector databases, and, where applicable, knowledge graphs, to enhance data retrieval for GenAI. Technical Leadership: Act as a technical leader and subject matter expert for junior data scientists, providing guidance on best practices in coding and PR reviews, data handling, and GenAI methodologies. Cross-Functional Collaboration: Collaborate effectively with global data science teams, engineering, and product stakeholders to integrate data solutions and ensure alignment with broader company objectives. Operational Excellence: Troubleshoot and resolve data-related issues promptly to minimize potential disruptions, ensuring high operational efficiency and responsiveness. Documentation & Code Quality: Produce clean, well-documented, production-grade code, adhering to best practices for version control and software engineering. Skills And Experience Leadership Experience: Proven track record in leading and mentoring data science teams, with a focus on strategic planning and operational excellence. Academic Background: Advanced degree in AI, statistics, mathematics, computer science, or a related field. Programming and Frameworks: 5+ years of hands-on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face. GenAI Tools: 2+ years of Practical experience with LangChain, Hugging Face Transformers, and embedding models for building GenAI applications. Prompt Engineering: Deep expertise in prompt engineering, including prompt tuning, chaining, and optimization techniques. LLM Evaluation: Experience evaluating LLM outputs, including using LLM-as-a-judge methodologies to assess quality and alignment. RAG and Knowledge Graphs: Practical understanding and experience using vector databases. In addition, familiarity with graph-based RAG architectures and the use of knowledge graphs to enhance retrieval and reasoning would be a strong plus. Cloud: 2+ years of experience with Gemini/OpenAI models and cloud platforms such as AWS, Google Cloud, or Azure. Proficient with Docker for containerization. Data Engineering: Strong understanding of data extraction, curation, metadata enrichment, and AI-ready dataset creation. Collaboration and Communication: Excellent communication skills and a collaborative mindset, with experience working across global teams. What’s In It For You Our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success. Competitive salary Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted) Group healthcare scheme 18 days annual leave 8 days of casual leave Extensive internal and external training Hours This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus’ key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11am to 8pm with each member of the team participating up to 2/3 times a week. Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

We’re looking for a hands-on, product-minded full-stack developer with a strong interest in AI and automation . This role is ideal for someone who loves to build, experiment, and bring ideas to life — fast. You'll work closely with the founding team to prototype AI-powered tools and products from scratch.This is a highly AI-focused role where you will build tools powered by LLMs, workflow automation, and real-time data intelligence — not just build web apps, but create AI-first products . Location - Kochi, Bangalore | Years of experience - 1-3 Years Hire22. ai connects top talent with executive role s anonymously and confidential ly, transforming hiring through a n AI-first, instant CoNCT mod el. Companies ge t interview-ready candidates in just 22 hours . No telecalling, no spam, no manual filtering. Responsibilities Build and experiment with AI-first features powered by LLMs, embeddings, vector databases, and prompt-based workflows Fine-tune or adapt AI/ML models for specific use cases such as job matching, summarization, scoring, and classification Integrate and orchestrate AI capabilities using tools like Vertex AI, LangChain, Cursor, n8n, Flowise, etc. Work with vector databases and implement retrieval-augmented generation (RAG) patterns to build intelligent, context-aware AI applications. Design, build, and maintain full-stack web applications using Next.js and Python as supporting layers around core AI functionality Rapidly prototype ideas, test hypotheses, and iterate fast based on feedback Collaborate with product, design, and founders to transform internal ideas into deployable, AI-powered tools Building internal AI agents, assistants, or copilots Building tools for automated decision-making, resume/job matching, or workflow automation Skills Full-Stack Proficiency: Strong command of JavaScript/TypeScript with experience in modern frameworks like React or Next.js. Back-end experience with Python (FastAPI), orGo. Database Fluent: Comfortable working with both SQL (MySQL) and NoSQL databases (MongoDB, Redis), with good data modeling instincts. AI/ML First Mindset: Hands-on with integrating and optimizing AI models using frameworks like OpenAI, Hugging Face, LangChain, or TensorFlow. You understand LLM architecture, prompt engineering, embeddings, and AI orchestration tools. You’ve ideally built or experimented with AI-driven applications beyond just using APIs.. Builder Mentality: Passionate about product thinking and going from zero to one. You take ownership, work independently, and execute quickly without waiting for perfect clarity. Problem Solver: You break down complex problems, learn fast, and deliver clean, efficient solutions. You value both speed and quality. Communicator & Collaborator: You express your ideas clearly, ask good questions, and keep teams in sync by sharing progress and blockers openly.

Caprae Capital Partners is an innovative private equity firm led by the principal Kevin Hong who has been a serial tech entrepreneur, and who grew two startups to $31M ARR and $7M in revenue. The fund originated with two additional tech entrepreneur friends of Kevin who have had ~8 figure and ~9 figure exits to Twitter and Square, respectively. Additional partners include an Ex-Nasa software engineer and an Ex-Chief of Staff from Google. Caprae Capital in conjunction with its portfolio company launched AI-RaaS (AI Readiness as a Service) and is looking for teammates to join for the long haul If you have a passion for disrupting the finance industry and happen to be a mission-driven person, this is a great fit for you. Additionally, given the recent expansion of this particular firm, you will have the opportunity to work from the ground level and take on a leadership role for the internship program which would result in a paid role. Lastly, this is also a great role for those who are looking into strategy and consulting roles in the future as it will give you the exposure and experience necessary to develop strong business acumen. Role Overview We are looking for a Lead Full Stack Developer to architect and lead the development of new features for SaaSquatchLeads.com, an AI-driven lead generation and sales intelligence platform. You will own technical direction, guide other engineers, and ensure our stack is scalable, maintainable, and optimized for AI-powered workloads. Key Responsibilities Lead architectural design and technical strategy for SaaSquatchLeads.com. Develop, deploy, and maintain end-to-end features spanning frontend, backend, and AI integrations. Implement and optimize AI-driven services for lead scoring, personalization, and predictive analytics. Build and maintain data pipelines for ingesting, processing, and analyzing large datasets. Mentor and guide a distributed engineering team, setting best coding practices . Collaborate with product, design, and data science teams to align technical execution with business goals. Ensure security, performance, and scalability of the platform. Required Skills & Technologies Frontend: React, JavaScript (ES6+), TypeScript, Redux/Zustand, HTML, CSS, TailwindCSS. Backend: Python (Flask, FastAPI, Django), Node.js (bonus). AI & Data Science: Python, PyTorch, Hugging Face, OpenAI APIs, LangChain, Pandas, NumPy. Databases: PostgreSQL, MySQL, MongoDB, Redis. DevOps & Infrastructure: Docker, Kubernetes, AWS (Lambda, S3, RDS, EC2), CI/CD pipelines. Data Processing: ETL tools, message queues (Kafka, RabbitMQ). Search & Indexing: Elasticsearch, Meilisearch (for fast lead lookups).

Caprae Capital Partners - Machine Learning Engineer Caprae Capital Partners is an innovative private equity firm led by the principal Kevin Hong who has been a serial tech entrepreneur, and who grew two startups to $31M ARR and $7M in revenue. The fund originated with two additional tech entrepreneur friends of Kevin who have had ~8 figure and ~9 figure exits to Twitter and Square, respectively. Additional partners include an Ex-Nasa software engineer and an Ex-Chief of Staff from Google. Caprae Capital in conjunction with its portfolio company launched AI-RaaS (AI Readiness as a Service) and is looking for teammates to join for the long haul If you have a passion for disrupting the finance industry and happen to be a mission-driven person, this is a great fit for you. Additionally, given the recent expansion of this particular firm, you will have the opportunity to work from the ground level and take on a leadership role for the internship program which would result in a paid role. Lastly, this is also a great role for those who are looking into strategy and consulting roles in the future as it will give you the exposure and experience necessary to develop strong business acumen. Role Overview We are seeking a Web UI Engineer to design, build, and optimize user-facing features for SaaSquatchLeads.com — our AI-powered lead generation platform. You will be responsible for creating intuitive, responsive, and high-performance interfaces that seamlessly integrate with our backend systems and AI-powered data pipelines, while also working directly with users to collect feedback and improve the product. Key Responsibilities Develop, maintain, and optimize responsive web applications using React and JavaScript/TypeScript . Collaborate with backend engineers to integrate AI-driven APIs and data services. Build interactive dashboards, visualizations, and analytics components for lead generation insights. Implement design system and UI/UX best practices for consistency and scalability. Engage with users to gather feedback, understand pain points, and suggest improvements to enhance usability and functionality. Translate user feedback into actionable UI/UX changes in collaboration with the design and product teams. Ensure cross-browser compatibility and mobile responsiveness . Leverage AI-powered frameworks for personalization and intelligent search (e.g., integrating OpenAI APIs , LangChain , or similar tools). Required Skills & Technologies Frontend: React, JavaScript (ES6+), TypeScript, Redux or Zustand, HTML5, CSS3, TailwindCSS. UI Testing: Jest, React Testing Library, Cypress (nice to have). AI Integration: Familiarity with OpenAI APIs, Hugging Face, LangChain. Backend Communication: REST APIs, GraphQL (bonus). Version Control & Workflow: Git, GitHub, CI/CD basics. Data Visualization: Chart.js, D3.js, or similar libraries.

Software Engineer 2 Noida, Uttar Pradesh, India Date posted Aug 01, 2025 Job number 1851193 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Ready to shape the future of how Microsoft operates its ~$250B+ business portfolio? Are you passionate about AI, Platform Engineering, and transformative user experiences? Do you bring energy, curiosity, and a strong sense of ownership to your work? The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business — and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, Sales, Marketing, Business Operations, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn to take ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency — and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications : Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Familiarity with distributed systems and cloud microservices architecture Business fluency in English (read, write, speak). Preferred Qualifications : 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Exposure to Microsoft Azure or other cloud platforms (GCP, AWS). Familiarity with AI/ML fundamentals , tools (like Azure ML, OpenAI), or data analytics workflows. Understanding of version control systems (e.g., Git) and DevOps practices. Curiosity, collaboration mindset, and a passion for solving real-world customer problems. Responsibilities Responsibilities Design , develop , deploy and operate scalable and resilient frameworks in platform that will enable Engineers to build, deploy and orchestrate data & analytics solutions with end-to-end automation and monitoring by incorporating best-in-class cloud technology offerings. Integrate AI capabilities such as Azure OpenAI , Cognitive Services , and ML models to enhance system intelligence and user productivity. engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations. Implement robust monitoring, logging and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions. Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences. Contribute to the evolution of Microsoft’s products through technical feedback and innovation. Champion a culture of diversity , inclusion , customer obsession , and continuous learning . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Client :- Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services. Job Details :- Position: Data Analyst - AI& Bedrock Experience Required: 6-10yrs Notice: immediate Work Location: Pune Mode Of Work: Hybrid Type of Hiring: Contract to Hire Job Description:- FAS - Data Analyst - AI & Bedrock Specialization About Us: We are seeking a highly experienced and visionary Data Analyst with a deep understanding of artificial intelligence (AI) principles and hands-on expertise with cutting-edge tools like Amazon Bedrock. This role is pivotal in transforming complex datasets into actionable insights, enabling data-driven innovation across our organization. Role Summary: The Lead Data Analyst, AI & Bedrock Specialization, will be responsible for spearheading advanced data analytics initiatives, leveraging AI and generative AI capabilities, particularly with Amazon Bedrock. With 5+ years of experience, you will lead the design, development, and implementation of sophisticated analytical models, provide strategic insights to stakeholders, and mentor a team of data professionals. This role requires a blend of strong technical skills, business acumen, and a passion for pushing the boundaries of data analysis with AI. Key Responsibilities: • Strategic Data Analysis & Insight Generation: o End-to-end data analysis projects, from defining business problems to delivering actionable insights that influence strategic decisions. o Utilize advanced statistical methods, machine learning techniques, and AI-driven approaches to uncover complex patterns and trends in large, diverse datasets. o Develop and maintain comprehensive dashboards and reports, translating complex data into clear, compelling visualizations and narratives for executive and functional teams. • AI/ML & Generative AI Implementation (Bedrock Focus): o Implement data analytical solutions leveraging Amazon Bedrock, including selecting appropriate foundation models (e.g., Amazon Titan, Anthropic Claude) for specific use cases (text generation, summarization, complex data analysis). o Design and optimize prompts for Large Language Models (LLMs) to extract meaningful insights from unstructured and semi-structured data within Bedrock. o Explore and integrate other AI/ML services (e.g., Amazon SageMaker, Amazon Q) to enhance data processing, analysis, and automation workflows. o Contribute to the development of AI-powered agents and intelligent systems for automated data analysis and anomaly detection. • Data Governance & Quality Assurance: o Ensure the accuracy, integrity, and reliability of data used for analysis. o Develop and implement robust data cleaning, validation, and transformation processes. o Establish best practices for data management, security, and governance in collaboration with data engineering teams. • Technical Leadership & Mentorship: o Evaluate and recommend new data tools, technologies, and methodologies to enhance analytical capabilities. o Collaborate with cross-functional teams, including product, engineering, and business units, to understand requirements and deliver data-driven solutions. • Research & Innovation: o Stay abreast of the latest advancements in AI, machine learning, and data analytics trends, particularly concerning generative AI and cloud-based AI services. o Proactively identify opportunities to apply emerging technologies to solve complex business challenges. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. • 5+ years of progressive experience as a Data Analyst, Business Intelligence Analyst, or similar role, with a strong portfolio of successful data-driven projects. • Proven hands-on experience with AI/ML concepts and tools, with a specific focus on Generative AI and Large Language Models (LLMs). • Demonstrable experience with Amazon Bedrock is essential, including knowledge of its foundation models, prompt engineering, and ability to build AI-powered applications. • Expert-level proficiency in SQL for data extraction and manipulation from various databases (relational, NoSQL). • Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, etc.) or R for data analysis, statistical modeling, and scripting. • Strong experience with data visualization tools such as Tableau, Power BI, Qlik Sense, or similar, with a focus on creating insightful and interactive dashboards. • Experience with cloud platforms (AWS preferred) and related data services (e.g., S3, Redshift, Glue, Athena). • Excellent analytical, problem-solving, and critical thinking skills. • Strong communication and presentation skills, with the ability to convey complex technical findings to non-technical stakeholders. • Ability to work independently and collaboratively in a fast-paced, evolving environment. Preferred Qualifications: • Experience with other generative AI frameworks or platforms (e.g., OpenAI, Google Cloud AI). • Familiarity with data warehousing concepts and ETL/ELT processes. • Knowledge of big data technologies (e.g., Spark, Hadoop). • Experience with MLOps practices for deploying and managing AI/ML models. Learn about building AI agents with Bedrock and Knowledge Bases to understand how these tools revolutionize data analysis and customer service.

AI & Technology Assistant – Computer Science Fresher (Full-Time) Location : Rajouri Garden, New Delhi Company : Furnicrest (Selsa Enterprises) Role Type : Full-time, On-site Experience : Fresher (0–1 year) Salary : ₹15,000–₹25,000/month (based on skills & interview) About the Role We are looking for a motivated Computer Science graduate who is eager to work on cutting-edge projects using Artificial Intelligence, automation, and data-driven tools . You’ll be assisting in multiple digital initiatives — from smart product configuration to automating business workflows, applying AI tools, and managing tech stacks that support our manufacturing and design operations. What You'll Work On Experimenting with AI APIs (e.g., ChatGPT, OpenAI tools, LangChain, Hugging Face) Automating internal processes using Python, Excel macros , or no-code tools Developing scripts, bots, or web apps for internal projects Supporting design/marketing/data workflows with technical solutions Learning and adapting quickly across multiple ongoing projects Preferred Skills Basic knowledge of Python , JavaScript , or similar programming languages Familiarity with AI tools or APIs (e.g., OpenAI, TensorFlow, scikit-learn) is a plus Good grasp of problem-solving , logic, and documentation Comfortable with learning independently and using online resources Bonus: Interest in UX/UI , automation, or 3D/configurator tools Qualifications Bachelor’s degree in Computer Science , IT, or equivalent (2023–2025 graduates preferred) Strong portfolio (GitHub, personal projects, or demos welcome) Willingness to work full-time from our Rajouri Garden office Why Join Us? Work on real-world AI projects that blend tech with design & manufacturing Direct mentorship in a small, fast-moving team Opportunity to explore AI, automation, and product development hands-on Flexible, learning-driven environment How to Apply Send your resume , portfolio (if any) , and a short paragraph about your interest in AI to: [tushar.selsa@gmail.com] Subject: “AI Tech Assistant – CS Fresher Application” Job Types: Full-time, Permanent, Fresher, Internship Contract length: 12 months Pay: ₹13,248.04 - ₹46,601.39 per month Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Work Location: In person

We are seeking an experienced AI Data Analyst with over 7 years of professional experience, showcasing leadership in tech projects. The ideal candidate will possess a strong proficiency in Python, Machine Learning, AI APIs, and Large Language Models (LLMs). You will have the opportunity to work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Your experience should include: - At least 2 years of hands-on experience as a Data Analyst. - Practical experience of at least 1 year with AI systems such as LLMs, AI APIs, or vector-based search. - 2+ years of experience working with Machine Learning models and solutions. - Strong background of 5+ years in Python programming. - Exposure to vector databases like pgvector and ChromaDB is considered a plus. Key Responsibilities: - Conduct data exploration, profiling, and cleaning on large datasets. - Design, implement, and evaluate machine learning and AI models to address business problems. - Utilize LLM APIs, foundation models, and vector databases to support AI-driven analysis. - Construct end-to-end ML workflows starting from data preprocessing to deployment. - Develop visualizations and dashboards for internal reports and presentations. - Analyze and interpret model outputs, providing actionable insights to stakeholders. - Collaborate with engineering and product teams to implement AI solutions across business processes. Required Skills: Data Analysis: - Work with real-world datasets hands-on for at least 1 year. - Proficiency in Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly. Machine Learning & AI: - Apply machine learning techniques for at least 2 years (classification, regression, clustering, etc.). - Hands-on experience with AI technologies such as Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems. - Knowledge of model evaluation, hyperparameter tuning, and model selection. - Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures. Programming: - Proficiency in Python programming for at least 3 years, with expertise in libraries like scikit-learn, NumPy, Pandas, etc. - Strong understanding of data structures and algorithms relevant to AI and ML. Tools & Technologies: - Proficiency in SQL/PostgreSQL. - Familiarity with vector databases like pgvector, ChromaDB. - Exposure to LLMs, foundation models, RAG systems, and embedding techniques. - Familiarity with cloud platforms such as AWS, SageMaker, or similar. - Knowledge of version control systems (e.g., Git), REST APIs, and Linux. Good to Have: - Experience with tools like Scrapy, SpaCy, or OpenCV. - Knowledge of MLOps, model deployment, and CI/CD pipelines. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. Soft Skills: - Possess a strong problem-solving mindset and analytical thinking. - Excellent communication skills, able to convey technical information clearly to non-technical stakeholders. - Collaborative, proactive, and self-driven in a fast-paced, dynamic environment. If you meet the above requirements and are eager to contribute to a dynamic team, share your resume with kajal.uklekar@arrkgroup.com. We look forward to welcoming you to our team in Mahape, Navi Mumbai for a hybrid work arrangement. Immediate joiners are preferred.,

About Us At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, were looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with deep expertise in Generative AI to design and implement cutting-edge models that solve real business problems. You will work with LLMs, GANs, RAG frameworks, and transformer-based architectures to build production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc. Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures. Customize and fine-tune LLMs for domain-specific use cases. Build and manage robust ML pipelines for training, evaluation, and deployment. Collaborate with engineering teams to integrate models into real-world applications. Stay updated with the latest GenAI research, tools, and trends. Analyze model outputs, monitor performance, and ensure responsible AI use. Required Skills Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers. Deep understanding of LLMs, GANs, RAG, Autoencoders, etc. Experience with LoRA, PEFT, or similar fine-tuning techniques. Familiarity with Vector Databases (FAISS, Pinecone) and embeddings. Expertise in data preprocessing, synthetic data generation. Solid knowledge of NLP, prompt engineering, and language model safety. Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure). Nice To Have Experience with Chatbots, Conversational AI, or AI Assistants. Familiarity with LangChain, LLMOps, or serverless model deployment. Background in MLOps, Docker/Kubernetes, and CI/CD pipelines. Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA. (ref:hirist.tech)

Role Overview We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. Responsibilities The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business Responsibilities : Analyze structured and unstructured data to identify trends, patterns, and opportunities. Propose and validate AI/ML use cases based on business data and stakeholder needs. Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. Ensure data quality, model interpretability, and ethical AI practices. Document experiments, share findings, and contribute to knowledge sharing within the Skills & Qualifications : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field. 34 years of hands-on experience in data science and machine learning. Proficient in Python and ML libraries. Experience with data wrangling, feature engineering, and model evaluation. Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). Strong communication and storytelling skills with a data-driven mindset. (ref:hirist.tech)

We're seeking a talented Machine Learning Engineer to lead the development of Agentic AI applications that transform how organizations interact with intelligent automation. You'll be at the forefront of building AI systems that don't just respond—they think, plan, and act autonomously to solve complex workflows. As one of our foundational AI team members, you'll design and deploy cutting-edge Generative AI models that power intelligent document automation and sophisticated agent-based workflows. This isn't just about implementing existing models—you'll be pushing the boundaries of what's possible with autonomous AI agents, creating systems that understand context, make decisions, and execute actions with minimal human intervention. What You'll Do AI Model Development & Deployment Build sophisticated agentic AI applications that enable autonomous decision-making and action execution Optimize and fine-tune large language models (LLMs) for specific use cases and performance requirements Develop novel approaches to agent reasoning, planning, and tool usage Production ML Systems Build and maintain robust ML pipelines ensuring high performance, scalability, and reliability in production Implement comprehensive evaluation frameworks to assess the effectiveness of generative models and agent-based solutions Design monitoring and feedback systems that enable continuous model improvement Optimize inference performance and cost efficiency at scale Innovation & Research Stay ahead of cutting-edge AI advancements, rapidly prototyping and implementing novel solutions Experiment with emerging agentic frameworks and contribute to the evolution of autonomous AI systems Collaborate with the research community through open-source contributions and knowledge sharing Drive technical innovation that gives Joist AI competitive advantages Cross-Functional Collaboration Partner with Product and Engineering teams to integrate AI solutions seamlessly into our platform Work with Product Marketing to translate technical capabilities into user-facing value propositions Collaborate with Customer Success to understand real-world usage patterns and optimization opportunities Mentor other engineers and contribute to building our AI engineering culture What You Bring Core Qualifications Degree in Computer Science, Mathematics, AI, or related technical field 5+ years of Machine Learning experience with recent focus on generative AI and autonomous agents Strong expertise in deep learning frameworks (PyTorch or TensorFlow) Hands-on experience with LLMs (OpenAI, Claude, Mistral, Llama) and diffusion models Proficiency in Python and experience with agentic libraries (Langraph, LlamaIndex, Crew AI, etc.) Technical Expertise Deep understanding of RAG, embeddings, and vector databases (FAISS, Pinecone, Weaviate) Experience with fine-tuning LLMs, prompt engineering, and reinforcement learning techniques Proven track record building AI-driven applications with APIs, cloud platforms, and microservices Strong problem-solving skills with ability to tackle open-ended, ambiguous challenges independently Mindset & Approach Passion for solving complex problems and learning cutting-edge technologies Strong sense of ownership and pride in delivering high-quality solutions Excellent collaboration skills and thrives in team environments Care deeply about scalability, reliability, and production-ready systems Experience We'd Be Particularly Excited About Deep expertise in NLP, computer vision, or multi-modal AI applications Production experience deploying AI models on AWS (Lambda, Step Functions, S3, RDS) Strong MLOps practices including model monitoring, A/B testing, and continuous improvement Open-source contributions, Kaggle competitions, or published research in GenAI Experience with agent frameworks and tool-calling mechanisms Background in distributed systems and high-performance computing What we offer Competitive salary Flexible PTO and remote work options Access to latest AI tools, compute resources, and research papers Opportunity to shape the future of autonomous AI applications Collaborative, innovation-driven culture with direct access to leadership Conference speaking opportunities and support for open-source contributions Our Interview Process We conduct a thorough but respectful interview process designed to assess both technical skills and cultural fit: Introductory Call (30 min) – Learn about Joist AI's mission and discuss your background and interests Technical Deep Dive (45 min) – Explore your experience with ML systems, agentic AI, and problem-solving approach Take-Home Project – Design and implement a solution that demonstrates your ML engineering skills Project Review & Team Fit (60 min) – Present your solution, discuss technical decisions, and meet potential teammates Typical timeline: 2 weeks from application to offer Ready to Apply? If you're excited about pioneering the next generation of Agentic AI applications and want to build autonomous systems that genuinely transform how work gets done, we'd love to hear from you. Send your resume along with: A brief note about why you're passionate about AI-driven automation Links to relevant projects, papers, or open-source contributions (if applicable) What excites you most about building agentic AI systems

Join a high-performing engineering team that is pioneering the future of low-code and AI-powered development. The team is passionate about building scalable, intelligent systems that simplify complex business processes. By blending deep domain knowledge in low-code platforms with emerging capabilities in Generative AI, the team delivers innovative, human-centered solutions and encourages each member to bring out their best to build a world-class Pega Infinity product. The Pega Platform engineering team drives the product strategy and delivery with an innovation mindset to provide a low-code platform for AI-powered decision-making and workflow automation. If you are excited about shaping how businesses leverage automation and AI, this is the place for you. Pegasystems is offering exciting, multi-level opportunities to join our team as a Manager, Platform Engineering, Low-code Studios, and GenAI. As a Manager, you will work with a self-organizing team to develop and maintain best-of-breed software in the Pega ecosystem and at the intersection of technology and innovation. You will be part of a collaborative environment where your ideas are valued, your growth is prioritized, and your work directly contributes to real-world impact. Whether it's improving customer experiences, streamlining operations, or accelerating product development with GenAI, you will be solving meaningful problems that matter to our clients and our company. **What You'll Do At Pega** - Manage product engineering teams working on designing, developing, and deploying applications using leading low-code platforms and integrating Generative AI capabilities to enable smart automation, application generation, and enhanced user experiences. - Collaborate with designers, product managers, and other teams to deliver high-quality, performant solutions. - Participate in architecture discussions and help shape the technical direction of our platform. - Continuously evaluate new GenAI and low-code trends, bringing innovative ideas into development cycles. - Provide technical assistance to advance the capabilities of products and resolve complex issues. - Develop and maintain technical expertise in assigned areas of product functionality. **Who You Are** - You are a passionate leader with a deep interest in Pega and stay updated with the latest advancements in GenAI, including models, use cases, and industry trends. - Strong understanding of software engineering principles, with a focus on Pega Infinity, GenAI, and machine learning concepts. - You bring good practices around design patterns with you, which you can leverage to support our Pega platform with our "as-a-Service" evolution, particularly in the context of GenAI. - Passionate about helping teams grow by inspiring and mentoring engineers. - Experienced in integrating APIs, building reusable logic, and optimizing workflows for efficiency and scale. - Excellent verbal and written communication skills, with the ability to remain composed under pressure. - Bonus: Experience working with Pega platform (App Studio, Case Management, Decisioning) and knowledge of AI tooling (e.g., OpenAI, Anthropic, LangChain) and prompt engineering is a plus. **What You've Accomplished** - 8-12 years of overall experience, preferably in a product development company, and holds a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Minimum 4+ years of experience managing product development teams. - Pega 8.x Certified CSA and CSSA preferably. - Strong problem-solving, debugging, and design skills. Participated in the design and development of Pega Infinity features. - Ability to apply analytical and investigative skills to resolve customer issues. - Customer-oriented, enthusiastic, courteous, assertive, and motivated to take charge of both customer engagement and problem resolution. - Rich experience of managing engineering teams in a product development company. - Ability to understand, identify, and resolve conflicts as necessary. - Working experience in an Agile/Scrum team environment. Pega Offers You - Gartner Analyst acclaimed technology leadership across our categories of products. - Continuous learning and development opportunities. - An innovative, inclusive, agile, flexible, and fun work environment.,

Were looking for a passionate Junior Flutter Developer who is eager to build beautiful, high-performing mobile apps. The ideal candidate should have a solid understanding of the mobile ecosystem and a strong grasp of state management and app architecture. A curious mindset towards AI integration in everyday life and productivity tools is a big plus. Key Responsibilities: - Ensure smooth user experiences by understanding the mobile ecosystem and optimizing for performance and responsiveness. - Implement clean, scalable, and maintainable code following good architecture patterns (e.g., MVVM, Clean Architecture). - Integrate and experiment with AI tools or APIs to enhance app functionality and productivity. - Use effective state management techniques (e.g., Provider, Riverpod, BLoC) to ensure app stability and scalability. - Debug and resolve technical issues, assist in testing, and contribute to continuous improvement. Requirements: - 6 months 2 years of experience with Flutter/Dart. - Solid understanding of mobile UX/UI principles and performance optimization. - Exposure to state management solutions like Provider, Riverpod, or BLoC. - Familiarity with architectural patterns like MVC, MVVM, or Clean Architecture. - Interest or hands-on experience in integrating AI tools into mobile apps. - Good problem-solving skills and eagerness to learn and grow in a fast-paced environment. Bonus Points If You Have: - Experience with REST APIs, Firebase, or local data storage. - Side projects or portfolio demonstrating Flutter apps. - Knowledge of AI/ML APIs (OpenAI, Google ML Kit, etc.). Why Join Us - Work on meaningful products that improve productivity and integrate smart technologies. - Friendly, collaborative environment with mentorship and growth opportunities. - Flexible work hours and a focus on learning by doing. Location : Nr Science City Road , Ahmedabad : 380060 Type : Full Time - On Site (we are n&apost giving remotely opportunity please don&apost apply if you&aposre looking for remote ) Salary Rang : 10k-30k/Month Please DM or send email : [HIDDEN TEXT] Show more Show less

Job Description Technical Analyst (Low-Code/No-Code & AI-Powered Development) Entra Solutions (A BSI Financial Services Company) Entra Solutions is a FinTech company specialized in technology-based financial solutions and services for the mortgage industry. We are a people-focused, growth-oriented, innovative company and we're looking for people like you to make a positive change and join our team today! We are looking for a Technical Analyst who specializes in low-code/no-code development and is proficient in leveraging AI-powered development tools (e.g., Claude.ai, OpenAI) to rapidly deliver scalable business solutions. The ideal candidate has a strong automation mindset, experience with Microsoft Power Platform , and the ability to build intelligent workflows that optimize operations and enhance user experience. What You Will Do Design and develop applications using low-code/no-code platforms, primarily Microsoft Power Apps, Power Automate, and related workflow tools. Utilize AI-driven development tools (Claude.ai, OpenAI, or similar) to accelerate solution design, automate repetitive tasks, and enhance decision-making processes. Collaborate with stakeholders to gather requirements and transform them into intuitive, data-driven applications with minimal manual coding. Configure, administer, and continuously optimize internal applications to support evolving business needs. Create intelligent workflows integrating with various data sources (SharePoint, SQL, Dataverse, APIs) to streamline processes. Proactively identify automation opportunities and deliver solutions that improve operational efficiency. Document technical designs, process flows, and provide training to users for adopting new solutions. Stay current with advancements in low-code platforms and AI-assisted development to recommend innovative approaches. What We’re Looking For BE/BTech degree in Computer Science, Information Technology, or a related field 4–7 years of experience in application development or support, with strong focus on low-code/no-code platforms Proficiency in Power Apps, Power Automate, and workflow automation tools Hands-on experience with AI-assisted development tools (Claude.ai, OpenAI, GitHub Copilot, or similar) Strong analytical and logical skills with the ability to design data models and business process flows Knowledge of REST APIs, JSON, and integration techniques with third-party applications Strong problem-solving mindset with ability to deliver high-quality solutions under tight timelines Excellent communication skills and ability to work collaboratively with cross-functional teams Passion for technology and continuous learning of emerging automation and AI platforms What’s In It For You Competitive Salary Full Benefits Package PTO Holiday Pay Career Growth Opportunities EEO Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Role Summary We are seeking an experienced Senior Generative AI Architect to lead the design, development, and deployment of an AI Gateway that connects generative AI applications (developed in Python and C) with enterprise-grade LLM services such as Azure OpenAI and AWS Bedrock. This role is critical to building a robust, scalable infrastructure that enables seamless communication between Gen AI components and LLM endpoints. The ideal candidate is a hands-on with deep expertise in architecting and productionizing Gen AI applications, and a proven ability to guide engineering teams toward high-quality outcomes. Key Responsibilities Architectural Leadership Design and document scalable, reliable, and maintainable architectures for Gen AI applications. Ensure solutions meet production-grade standards and enterprise requirements. Technical Decision Making Evaluate trade-offs in technology choices, design patterns, and frameworks. Align decisions with Gen AI best practices and software engineering principles. Team Guidance Mentor and guide architects and engineers. Foster a collaborative, innovative, and high-performance development environment. Hands-On Development Actively contribute to prototyping and implementation using C and Python. Drive research and development of core AI Gateway components. Product Development Mindset Build a Responsible And Scalable AI Gateway Considering Cost efficiency Security and compliance Upgradeability Ease of use and integration Required Qualifications Technical Expertise Extensive experience in API-based projects and full lifecycle deployment of Gen AI/LLM applications. Strong hands-on proficiency in C and practical experience with Python. Cloud & DevOps Expertise in Docker, Kubernetes, and OpenShift for containerization and orchestration. Working Knowledge Of Azure AI Services: OpenAI, AI Search, Document Intelligence AWS Services: EKS, SageMaker, Bedrock Security & Access Management Familiarity with Okta for secure identity and access management. LLM & Gen AI Tools Experience with LangChain, LlamaIndex, and OpenAI SDKs in C. Monitoring & Troubleshooting Proven ability to monitor, trace, and debug complex distributed AI systems. Personal Attributes Strong leadership and mentorship capabilities. Excellent communication skills for both technical and non-technical audiences. Problem-solving mindset with attention to detail. Passion for advancing AI technologies in production environments. Preferred Experience Prior leadership in large-scale, production-grade AI initiatives. Experience in enterprise technology projects involving Gen AI.

Ciklum is looking for a Java Developer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Java Developer, become a part of a cross-functional development team engineering experiences of tomorrow. Our customer is transforming industries and empowering developers to build amazing apps that people use every day. They are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. Their 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! PS exists to support the development of their 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. Work as a software developer in a small Agile team delivering solutions onsite for customers focused on migrating their 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. Responsibilities: Be open to adopting new technologies and approaches on projects as they evolve, especially those relating to GenAI advancements Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects Participates as a software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB Follow existing best practice migration playbooks where applicable and be prepared to innovate to fill in gaps with creative solutions to solve challenges on each specific project Actively participate in sprint grooming, planning, and showcases with ideas and suggestions Take direction from the technical lead and project manager on projects, raising identified challenges and potential solutions to the team when applicable Study the current state of each legacy application and the desired target state outlined by the customer and contribute to the planning, design, and solution from getting from source state to target state on each project Be prepared to change project direction if customer or account team priorities change Requirements: Experience : 3 to 5 years’ of experience working as a software developer Proficiency in Core Java: Strong understanding of object-oriented programming (OOP), data structures, and algorithms Frameworks: Experience with Spring (including Spring Boot, Spring MVC, Security), and Hibernate Database Management: Familiarity with SQL and experience with databases like MySQL, PostgreSQL, or Oracle Version Control: Proficiency with Git Software Design Patterns: Understanding and application of common design patterns Problem Solving: Ability to analyze and solve technical problems effectively Communication and Collaboration: Good communication skills and ability to collaborate with team members Testing: Experience with unit testing frameworks like JUnit Mentorship: May be expected to mentor junior developers Code Quality: Focus on writing clean, efficient, and maintainable code Continuous Integration/Continuous Deployment (CI/CD): Understanding of CI/CD pipelines and related tools Desirable: Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of Python Some experience and knowledge of JavaScript/Node.js Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB What's in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: hybrid work mode at Chennai or Pune Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn . Explore, empower, engineer with Ciklum! Experiences of tomorrow. Engineered together Interested already? We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.

Mandatory Certifications (Any 1) 1. AI-102 Microsoft Certified: Azure AI Engineer Associate. 2. DP-100 Microsoft Certified: Azure Data Scientist Associate. Good To Have 1. Azure Storage / Azure Deployments / Azure Data Factory 2. Database Skills - SQL Server Requirements: Proven experience with Azure cloud services, especially Azure OpenAI and Azure Search. Strong proficiency in Python , GitLab, GitHub Copilot, VS Code, Postgres RDBMS, vector databases like ChromaDB, Azure Search. Good to have - Java, Java Sprint frameworks, maven, IntelliJ, ReactJS. Experience implementing RAG (Retrieval-Augmented Generation) patterns in real-world applications. Familiarity with microservices and API development. Knowledge of data security, privacy, and compliance best practices. Design and implement robust testing and validation strategies for AI solutions, including unit, integration, and end-to-end tests for chat interfaces and AI-driven features. Develop automated test suites to ensure accuracy, reliability, and performance of AI models and chat interactions. Integrate the application with AI data models via secure, scalable APIs, ensuring seamless data flow and real-time interaction between the application and AI services. Validate AI outputs for correctness, relevance, and compliance with business requirements. Understand and apply principles of Responsible AI, including fairness, transparency, explainability, and privacy. Ensure compliance with ethical standards and regulatory requirements in AI development and deployment. Document testing procedures, validation results, and responsible AI practices for audit and continuous improvement. Experience with automated testing, CI/CD pipelines, and DevOps practices. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Experience with telemetry analytics, observability platforms, or similar domains. Familiarity with AI/ML model deployment and MLOps in Azure. Knowledge of banking, payments, or financial services applications Locations: - Gurgaon, Hybrid (4 Days), No ODC Grade, Experience: - Lead/Senior Lead & 6 Y – 10 Y Notice Period: - look for immediate, 30 Days, 60 Days.

Ciklum is looking for a Java Developer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Java Developer, become a part of a cross-functional development team engineering experiences of tomorrow. Our customer is transforming industries and empowering developers to build amazing apps that people use every day. They are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. Their 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! PS exists to support the development of their 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. Work as a software developer in a small Agile team delivering solutions onsite for customers focused on migrating their 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. Responsibilities: Be open to adopting new technologies and approaches on projects as they evolve, especially those relating to GenAI advancements Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects Participates as a software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB Follow existing best practice migration playbooks where applicable and be prepared to innovate to fill in gaps with creative solutions to solve challenges on each specific project Actively participate in sprint grooming, planning, and showcases with ideas and suggestions Take direction from the technical lead and project manager on projects, raising identified challenges and potential solutions to the team when applicable Study the current state of each legacy application and the desired target state outlined by the customer and contribute to the planning, design, and solution from getting from source state to target state on each project Be prepared to change project direction if customer or account team priorities change Requirements: Experience : 3 to 5 years’ of experience working as a software developer Proficiency in Core Java: Strong understanding of object-oriented programming (OOP), data structures, and algorithms Frameworks: Experience with Spring (including Spring Boot, Spring MVC, Security), and Hibernate Database Management: Familiarity with SQL and experience with databases like MySQL, PostgreSQL, or Oracle Version Control: Proficiency with Git Software Design Patterns: Understanding and application of common design patterns Problem Solving: Ability to analyze and solve technical problems effectively Communication and Collaboration: Good communication skills and ability to collaborate with team members Testing: Experience with unit testing frameworks like JUnit Mentorship: May be expected to mentor junior developers Code Quality: Focus on writing clean, efficient, and maintainable code Continuous Integration/Continuous Deployment (CI/CD): Understanding of CI/CD pipelines and related tools Desirable: Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of Python Some experience and knowledge of JavaScript/Node.js Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB What's in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: hybrid work mode at Chennai or Pune Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn . Explore, empower, engineer with Ciklum! Experiences of tomorrow. Engineered together Interested already? We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.