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Job Title: Python Intern – Django / Odoo / AI Frameworks Location: Ahmedabad, Gujarat, India (Work from Office) Duration: 6 Months Stipend: ₹3,000 per month Certificate: Internship Certificate upon Successful Completion Apply Link : https://tesseracttechnolabs.com/joblist/1 About Tesseract Technolabs: Tesseract Technolabs is a leading provider of AI, Machine Learning, Data Science, and Process Automation solutions. We specialize in custom Python development, enterprise applications, and smart automation systems tailored to business needs. Our mission is to leverage cutting-edge technologies to deliver impactful and responsible AI-driven solutions. Internship Overview: We are looking for a passionate and motivated Python Intern to join our team. This internship offers hands-on experience in working with real-world projects involving Django, Odoo ERP, and AI frameworks . You’ll collaborate with our experienced developers, learn industry best practices, and contribute to meaningful software development initiatives. Key Responsibilities: Assist in the development and maintenance of web applications using Django. Support in customizing and implementing Odoo modules. Contribute to basic AI/ML projects under guidance. Write clean, efficient, and reusable Python code. Participate in team meetings, code reviews, and project discussions. Debug and troubleshoot technical issues as they arise. Required Skills: Basic understanding of Python programming. Familiarity with Django framework or Odoo ERP is a plus. Interest in AI/ML concepts and tools (like scikit-learn, TensorFlow, etc.). Willingness to learn, adapt, and contribute proactively. Strong logical thinking and problem-solving ability. Eligibility: Final year students or recent graduates in Computer Science, IT, or related fields. Must be available for full-time work from our office in Ahmedabad for the entire duration of the internship. What You Will Gain: Practical experience in Python development with industry-grade tools and frameworks. Exposure to ERP systems (Odoo) and AI projects. Mentorship from experienced developers and data scientists. Certificate of Completion recognizing your contributions and learning.

About Position: We are conducting an in-person hiring drive for the position of AIML Engineer in Hyderabad on 26th July 2025. Interview Location is mentioned below: Interview Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081. We are looking for an experienced and talented AIML Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: AIML Engineer Job Location: All Persistent Location Experience: 4 -12 Years Job Type: Full Time Employment What You'll Do: Develop and fine-tune LLMs for real-world use cases Build and optimize RAG pipelines using Langchain or similar tools Integrate GenAI capabilities into enterprise applications Hands on Python coding exp Work with vector databases and embedding techniques Collaborate with cross-functional teams on AI-driven features We’re looking for a skilled engineer with hands-on experience in LLMs, LangChain, and chatbot development. Expertise You'll Bring: 4+ years of experience working with data science. Strong Python skills and familiarity with TensorFlow, PyTorch, and scikit-learn are essential Basic understanding of Flask, Django, or FastAPI is a plus. Strong analytical, problem-solving, and troubleshooting skills. Ability to work independently and in a collaborative team environment. Cloud deployment knowledge on AWS, Azure, or GCP is a must. You’ll work on real-world GenAI applications in a collaborative, fast-paced environment. Stay updated with the latest in GenAI and contribute to innovative solutions. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Power BI Developer We are looking for an experienced Power BI Developer to join our Data Analytics team. The ideal candidate will have a strong background in designing, developing, and deploying Power BI reports and dashboards, with in-depth expertise in data modeling, DAX, SQL, and ETL processes. You will work closely with business stakeholders to translate data into actionable insights and enable data-driven decision-making. What You'll Do: You will be responsible for designing, developing, and optimizing Power BI reports, dashboards, and data models to meet business needs. You will build and maintain data models, datasets, and Power Automate flows, ensuring data consistency and accuracy across reports. Writing and optimizing DAX queries and calculations for high performance will be a key part of the role. You will connect to various data sources, including SQL Server, Azure, APIs, Excel, and other cloud-based services, ensuring seamless data flow. Collaborating with business users to understand reporting needs and deliver intuitive, user-friendly visualizations is essential. You will partner with data engineers and analysts to acquire, clean, and transform data for reporting purposes. Ensuring data governance, security protocols, and brand consistency across all reporting solutions will be a critical responsibility. Additionally, you will troubleshoot and resolve Power BI performance issues, optimizing report load times and improving overall efficiency. Your expertise in SQL will be utilized to fetch and validate data using queries, stored procedures, and database objects. You will also provide ongoing training, documentation, and support to end-users, ensuring they can fully utilize Power BI reports and dashboards. Finally, you will stay up to date with the latest Power BI features, tools, and best practices, introducing innovative ideas to enhance reporting capabilities. What You'll Bring: The ideal candidate will have at least 3 years of experience in Power BI development and data visualization. They must be highly proficient in DAX (Data Analysis Expressions) and M Query for complex calculations, as well as possess a knowledge of SQL Server, T-SQL, and relational databases. Familiarity with ETL tools and processes, such as Azure Data Factory and Power Query, is required. Experience with Power BI Service, Power BI Apps, and Row-Level Security (RLS) is essential, along with a solid understanding of data modeling concepts like Star Schema and Snowflake Schema. The candidate should have experience integrating Power BI with cloud platforms, such as Azure, SharePoint, and APIs. A familiarity with Power Automate and Power Apps and their integration with Power BI is a plus. The candidate should also possess strong analytical and problem-solving skills, as well as excellent communication and stakeholder management abilities. Experience with Python or R for advanced data analysis would be beneficial. Knowledge of AI/ML integration with Power BI would also be an asset. Microsoft certification (e.g., PL-300: Power BI Data Analyst) is a plus. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Broad expertise in Fincrime Monitoring, AML, KYC, Sanctions Screening, Payment Screening, Fraud etcProven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End-to-end project implementation and cross-functional stakeholder management experience including agile project delivery Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc, hands on with SQL queries Exposure to leading vendor products like Actimize, Fircosoft etc is a plus Experience in Data Science, Analytics, AI/ML. Gen AI, Data Management, Data Architectures, Data Governance, platforms and applications is a plus

Summary Position Summary Product Architect (Mobile) – CL5 Role Overview : As a Mobile Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards— being r esponsible for product architecture blueprints, high-level architecture designs (e.g., “4+1 model” or relevant others), and integration architecture into the technical landscape and technology stack. Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs appropriate for mobile scenarios. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc. 10+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks with 5 years’ experience in architecting enterprise solutions. 5+ years of proven experience with Flutter, Xamarin, and Native iOS and Android Architectures. 5+ years of hands-on experience with building mobile solutions, including scalable cloud-based backends using cloud-native tech and paradigms, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. 3+ years of experience with AI/ML and GenAI is preferred. Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. #CAP-PCJ #CAL-BMT Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306085

Job Title: Senior Backend Developer – Node.js Experience: 3 years Location: Coimbatore Employment Type: Full-Time Company Description Katomaran is a leading software development company specializing in AI/ML-powered video analytics, mobile and web applications, Generative AI, and IoT solutions. We cater to diverse sectors, including Security & Surveillance, Manufacturing, Environmental Health, Healthcare, Automotive, Mining, and Education. Our customized solutions enhance our global presence and solidify our position in cutting-edge technology services. Notably, we've made significant inroads into the Singaporean Security Industry, implementing technology products to optimize security workflows and real-time monitoring systems. Role Description This is a full-time on-site role for a Senior Backend Developer – Node.js based in Coimbatore. The Senior Backend Developer will design, develop, and maintain back-end applications, focusing on Node.js. Tasks include writing efficient code, implementing server-side logic, integrating front-end elements, troubleshooting, and ensuring high performance and responsiveness of applications. Collaborating with front-end developers, system architects, and other stakeholders will also be key responsibilities. Key responsilblities Design, develop, and maintain high-performance backend services using Node.js Build scalable, secure RESTful APIs and/or GraphQL endpoints Lead architectural decisions and technical solutions for backend systems Optimize application performance, scalability, and security Collaborate with frontend developers, DevOps, QA, and Product Managers Integrate third-party services and APIs Conduct code reviews and mentor junior developers Ensure adherence to best practices in code quality, testing, and documentation Participate in Agile development processes (sprint planning, daily stand-ups, etc.) Required Skills and Qualifications 3 years of experience in backend development with Node.js Proficient in JavaScript/TypeScript Strong knowledge of Express.js , NestJS (preferred), or similar frameworks Experience with MongoDB , PostgreSQL , or other relational/NoSQL databases Familiarity with Redis , RabbitMQ , or other message brokers Hands-on experience with authentication , authorization , and security best practices Experience in cloud environments such as AWS, Azure, or GCP Proficient in writing unit tests , integration tests , and using tools like Jest or Mocha Familiar with Docker , CI/CD pipelines , and version control (Git) Nice to Have: Experience with microservices architecture Exposure to DevOps practices Familiarity with GraphQL Knowledge of performance monitoring tools (New Relic, Datadog, etc.) Job Type: Full-time Pay: Up to ₹600,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: Node.js: 3 years (Required) JavaScript: 3 years (Required) PostgreSQL: 3 years (Required) MongoDB: 3 years (Required) Nest.js: 3 years (Required) Work Location: In person Speak with the employer +91 9626900319

Responsibilities Architect and build real-time feature pipelines and model training workflows. Design, train, validate, and deploy RUL predictors, anomaly detectors, and LP-based grid solvers. Implement MLOps best practices: MLflow/Kubeflow pipelines, model registry, canary deployments. Collaborate on explainability modules (SHAP, LIME) and drift-detection alerts. Optimize GPU utilization; automate retraining schedules and performance monitoring. Skills & Experience 3+ years in ML engineering or data science roles; production-grade ML deployments. Expertise in time-series modeling: LSTM, GRU, isolation forest, ensemble methods. Strong Python skills; frameworks: TensorFlow, PyTorch, Scikit-Learn. Experience with Kubernetes-based MLOps: Kubeflow, KServe, MLflow. Proficiency tuning and deploying on NVIDIA GPUs (H100, H200). Nice-to-Have Domain experience in predictive maintenance, grid optimization, or IIoT. Familiar with feature-store design (TimescaleDB, Feast) and Spark-on-GPU. Knowledge of explainability libraries and regulatory compliance for AI.

We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals.

We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals.

About Soul AI Pods Deccan AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from top tier institutes like IITs, NITs, and BITS. We’re hiring for our client servicing arm Soul AI. Soul AI has a talent network, known as Soul AI Pods , under which highly skilled & vetted tech talent gets the opportunity to work with top-tier global tech companies. Our client list includes tech giants like Google & Snowflake .Read more about her eResponsibilitie sBuilding agentic system s, LLM pipeline s, or RLHF framework sPackage and deploy models via containerized API s and manage CI/CD pipeline sOwn the end-to-end ML lifecycl e, from data prep to serving to monitorin gCollaborate with product and engineering teams on scalable AI solution sSkill Require d Strong foundation in machine learning, deep learning, and model evaluati onProficient in Python, with experience in PyTorch, TensorFlow, and scikit-lea rnSkilled in data preprocessing, feature engineering, and SQL-based data handli ngFamiliar with deploying APIs using Docker, FastAPI, and managing version control with G itExperience with cloud platforms (AWS/GCP/Azure) and ML model deployment at sca leUnderstanding of MLOps tools (MLflow, Kubeflow) and CI/CD workflows for ML syste ms Application & Other Deta ilsTo apply, fill t he Soul AI Pods Interest F ormYou will be invited for selection process → R1: Test, R2: AI Interview, R3: 1:1 Interv iewWe are hiring for full-time or long Contract (40 hrs/week) hybrid ro lesWe are hiring across different seniority lev elsYou will work on a key client project (Top-tier tech consulting fi rm)

This role is for one of our clients Industry: Business Analyst Seniority level: Mid-Senior level Min Experience: 4 years Location: Remote (India) JobType: full-time About The Role We are on the lookout for a forward-thinking analytics leader who thrives at the intersection of data, strategy, and impact. As our Lead Data & Analytics Strategist, you’ll head a high-performing team to design and deliver transformative insights that shape client decisions, marketing outcomes, and growth trajectories. This is a hands-on, high-ownership role focused on creating data-driven frameworks, building intelligent systems, and driving adoption of advanced analytics across clients in a digital-first ecosystem. Key Responsibilities Strategic Leadership in Analytics Translate business objectives into scalable, insight-rich analytics strategies. Partner with senior stakeholders to co-create long-term data roadmaps. Lead analytics workshops and discovery sessions with clients. Team Management & Capability Building Mentor and upskill a team of analysts and data scientists. Promote best practices in modeling, data integrity, storytelling, and tooling. Set the benchmark for technical rigor, project accountability, and innovation. Advanced Analytics and Modeling Design and deploy predictive models, customer segmentation, and optimization engines. Lead initiatives like Market Mix Modeling, Incrementality Testing, Uplift Modeling, and LTV forecasting. Integrate machine learning into business workflows with measurable impact. Data Infrastructure & Governance Establish standards for data validation, transformation, and governance. Drive adoption of cloud-based architecture (BigQuery, RedShift, Snowflake). Collaborate with engineering to enhance ETL and data pipeline reliability. Client Advisory & Delivery Excellence Serve as the analytics point of contact for key accounts. Build tailored dashboards, visual narratives, and data products for decision-makers. Ensure on-time, high-quality delivery of projects with tangible ROI. Continuous Innovation & Research Stay ahead of analytics, martech, and data science trends. Experiment with emerging tools, from GenAI to real-time data engines. Advocate for a test-and-learn mindset across teams. What We’re Looking For 4–6+ years of experience in analytics, data science, or marketing analytics roles Prior Experience Leading Teams Or Owning End-to-end Analytics Functions Proficiency in Python, SQL , and data modeling techniques Deep familiarity with ML frameworks (e.g., Scikit-learn, TensorFlow) Visualization fluency in Tableau, Power BI , or similar tools Cloud-native mindset (experience with GCP/BigQuery , AWS/Redshift , etc.) Bonus: exposure to Airflow , Snowflake , or data engineering pipelines Strong communicator, capable of presenting technical work to non-technical stakeholders Strategic thinker with hands-on ability to execute Deep understanding of marketing and media analytics is a big plus

Job Overview: We are seeking a results-driven PPC Specialist to plan, execute, and manage high-performance pay-per-click campaigns across platforms like Google Ads and Bing Ads. The ideal candidate should be experienced in campaign optimization, data analysis, and AI-based advertising solutions. You will play a key role in maximizing ROI, improving conversion metrics, and supporting the broader marketing strategy through paid digital initiatives. Key Responsibilities: Plan, create, and manage PPC campaigns across Google Ads, Bing Ads, and other paid platforms. Conduct thorough keyword research and continuously optimize campaigns for better performance and ROI. Write compelling ad copy, design and execute A/B testing strategies, and ensure consistent optimization through performance data analysis. Monitor, analyze, and adjust bids, budgets, and ad placements to meet KPIs like CTR, CPC, CPA, and conversion rates. Leverage AI tools and automation platforms to enhance targeting, bidding strategies, and campaign efficiency. Implement remarketing and audience targeting strategies to boost engagement and conversions. Perform competitive analysis to identify trends, gaps, and new growth opportunities. Track and present campaign reports, highlighting performance, insights, and strategic recommendations. Collaborate with content, design, and broader marketing teams to ensure campaigns align with overall business objectives. Stay current with the latest industry trends, platform updates, AI advancements, and best practices in paid advertising. Required Skills & Qualifications: Proven experience (3+ years) in managing PPC campaigns on Google Ads, Bing Ads, and other platforms. Hands-on experience with AI/ML tools in advertising (e.g., Performance Max, Smart Bidding, AI-powered optimization tools). Strong knowledge of keyword research, ad copywriting, conversion tracking, and analytics tools (Google Analytics, Data Studio, etc.). Proficient in A/B testing, bid management, and ROI analysis. Excellent analytical and problem-solving skills. Experience working with tools like SEMrush, Ahrefs, Google Tag Manager, and Google Ads Editor. Strong communication and collaboration skills. Google Ads Certification preferred. Candidates from non metro cities are preferred.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

Quod Financial — is a supplier of OMS/EMS trading technologies that specializes in automation and innovation and specializes in software services such as algorithmic trading, intelligent order routing, and internalization qualifications. Quod wins its core architecture for supporting the e-commerce market, along with tools to make a decision from supporting AI / ML and dynamic access to the market with access to the opening without interrupting the work. Required skills: Upper-intermediate spoken English (you will work with clients from all over the world) Linux (command line) Any technical experience of at least 2 years Good problem-solving skills Good communication skills It will be a plus: Experience working with Linux configuration files Experience with networks or system administration Basic knowledge of SQL or database administration Responsibilities: Communication with corporate clients — banks, funds, trade institutions, etc Communication with development, quality control and management teams Integration of back-end (microservices), interface and trading APIs (FIX, REST) Configuration of recently released features

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You experience, education, skills, and accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, it would be advantageous if you have: Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About the Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area . Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach.

We are looking for a Technical Lead - .NET to design, develop, and optimize secure, scalable web applications. The ideal candidate has 8+ years of experience in software development, including 5+ years working with .NET Framework and C#, and a track record of leading teams, driving innovation, and mentoring developers. This role requires collaboration with cross-functional teams to build high-quality solutions while following industry best practices. Key Responsibilities Design, develop, and optimize scalable, secure .NET applications. Lead architectural discussions, ensure high-quality code, and drive technical innovation. Collaborate with teams to troubleshoot issues and continuously improve performance. Guide and mentor team members, fostering an environment where diverse perspectives contribute to innovation. Maintain technical documentation to support knowledge-sharing and process improvement. Required skills & Qualifications 8+ years in software development, including 5+ years in .NET Framework and C#. Proficiency in .NET Core, ASP.NET, MVC, REST, Web API, and SQL Server. Experience in JavaScript, HTML5, CSS, and front-end frameworks (Angular or Vue.js). Strong problem-solving skills and ability to thrive in agile, collaborative environments. Expertise in Object-Oriented Programming (OOP), dependency injection, asynchronous programming, and unit testing. Familiarity with microservices architecture, containerization (Docker, Kubernetes), and DevOps practices. Excellent communication and leadership skills, with a focus on collaboration and knowledge-sharing. Preferred skills Experience leading teams, guiding projects, and managing development timelines. Exposure to cloud platforms (Azure, AWS) and deployment strategies. Experience integrating AI/ML models into .NET applications (a plus).

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements

Urgent opening for Senior Data Scientist Minimum 5+ Years of experience required in Data Science Job Summary: We are a cutting-edge technology company at the forefront of AI innovation, building intelligent systems that leverage the power of language and data to transform industries. We are looking for a highly skilled and experienced Senior Data Scientist with deep expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI (GenAI), and Machine Learning (ML) to lead the development of next-generation AI-driven solutions. Key Responsibilities: Lead the design, development, and deployment of advanced NLP and ML-based solutions for real-world applications. Research, develop, and fine-tune Large Language Models (LLMs) and Generative AI models for domain-specific use cases. Architect and implement end-to-end machine learning pipelines , from data pre-processing to model deployment and monitoring. Collaborate with cross-functional teams including product, engineering, and domain experts to define AI-driven product features. Conduct in-depth data analysis, feature engineering, and model evaluation to optimize performance and accuracy. Stay up-to-date with the latest advancements in NLP, LLMs, GenAI, and ML , and apply state-of-the-art techniques to solve complex business problems. Mentor junior data scientists and contribute to the team's technical growth and innovation. Communicate technical findings and model insights to both technical and non-technical stakeholders. Regards Joe Infant A Human Resource Phone: 91500 90447 joeinfant@colanonline.com | http://www.colaninfotech.com Head Office: Murugesan Nayakar Complex, Unit-2, No. 84, B Block, 4th Floor, Greams Road, Thousand Lights West, Thousand Lights, Chennai, Tamil Nadu - 600006.

As a Front-End Developer, you will design and build user interfaces for both internal and customer-facing products. Youll work closely with Engineers, Data Scientists, DevOps, and Product Managers to deliver intuitive, responsive user experiences. This role also offers opportunities to expand your skills in back-end development and AI/ML development, depending on your interests and experience. Our team performs diverse tasks so being flexible is key. About You experience, education, skills, and accomplishments 5+ experience years in UI development with a strong focus on Angular. Strong communication skills, proactive mindset, & problem-solving abilities. A passion for learning, curiosity, and a drive for innovation. Hands-on experience is our top priority, which is why its listed first. A bachelors degree is a plus but takes a backseat in importance. Solid experience with Angular. Proven ability to develop high-quality, responsive UIs. Flexibility in working hours to accommodate our diverse team. Strong communication and collaborative skills. It would be great if you also had . . . Experience with Python and back-end frameworks such as FastAPI. A keen eye for UI/UX design. What will you be doing in this role? Develop and enhance user interfaces across a range of applications. Work closely with global engineering, data science, and product teams. Contribute to UI/UX design discussions and front-end architecture decisions. Communicate effectively and take initiative to work independently when needed.

Key Responsibilities: Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, Monitoring, and Reporting. Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis. Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables. Work on MLOps frameworks to deploy, monitor and validate ML models in real time. Work with multiple teams such as Data Supply, ML Engineers, Technology to implement analytical solutions and models. Key Skills: 2 to 4 years of relevant experience in Data Analytics / Data Science roles. Strong programming skill in tools such as Pyspark, Python, SQL to manipulate data and create deployable production code. Knowledge of Python packages and tools. Sound Knowledge and exposure to application of Statistical / Machine Learning Techniques. Experience in building and optimizing data pipelines, architectures and data sets. Ability to interpret and translate data into meaningful business insights. Excellent verbal, written communication and presentation skills.

We are looking for a ML Ops Engineer to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of experience in machine learning, data engineering, or software development. Good experience in building data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaaC), and monitoring is helpful for automating ML workflows. Experience with atleast one of the cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

Responsibilities ● Lead the design and implementation of scalable, secure software solutions using microservices and event-driven architectures. ● Develop efficient back-end services in Python (FastAPI, Django) and modern front-end interfaces with React, Next.js , Vue.js , Typescript. ● Integrate and build AI/ML features, including large language models and related NLP techniques. ● Design, deploy, and maintain cloud-native applications on AWS. ● Define and manage RESTful APIs for seamless service communication. ● Mentor junior developers and promote a culture of technical excellence. ● Drive technical strategy and continuous improvements in architecture and processes. ● Oversee testing, quality assurance, and bug resolution. Create and maintain clear technical documentation We seek an experienced engineer with extensive full-stack development skills and hands-on experience in AI and large language models, who has a demonstrated history of driving technical excellence and mentoring engineering teams. Essential: ● Extensive commercial experience as a Senior Full Stack or Python Engineer. ● Expert-level proficiency in Python and frameworks like FastAPI or Django. ● Strong front-end development skills using React, Next.js, and TypeScript. ● Proven experience designing and implementing microservices architectures. ● Hands-on experience with event-driven systems using Kafka or RabbitMQ. ● Experience building, integrating, and deploying AI Large Language Models (LLMs), including working with techniques such as Retrieval-Augmented Generation (RAG), Named Entity Recognition (NER), and other natural language processing (NLP) methods. ● Deep understanding of cloud infrastructure and services (preferably AWS). ● Strong knowledge of relational and/or NoSQL databases and data modeling. ● Experience designing and consuming RESTful APIs. ● Demonstrated ability to mentor junior engineers and influence technical direction. ● Strong problem-solving skills and sound architectural judgment. ● Familiarity with containerization tools (Docker, Kubernetes). ● Proficiency with CI/CD pipelines and automated testing frameworks. Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹2,500,000.00 per year Benefits: Cell phone reimbursement Commuter assistance Flexible schedule Health insurance Internet reimbursement Leave encashment Paid sick time Provident Fund Ability to commute/relocate: Faridabad, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Candidate should have experience in architecting and building robust, end-to-end solutions, from back-end services to front-end interfaces ? Candidate should have experience in commercial experience as a Full Stack or Python Engineer ? Candidate should have experience in Strong front-end development skills using React, Next.js, and TypeScript and Strong front-end development skills using React, Next.js, and TypeScript ? Candidate should have experience in building, integrating, and deploying AI Large Language Models (LLMs), including working with techniques such as Retrieval-Augmented Generation (RAG), Named Entity Recognition (NER) ? Candidate should need to work in Faridabad Harayana for 8 to 12 months after that hen they will be relocated to United Kingdom for a three year assignment ? Experience: Full-stack development: 3 years (Required) Python: 3 years (Required) Front-end development: 3 years (Required) Back-end development: 3 years (Required) Language: English (Required) Willingness to travel: 100% (Preferred) Work Location: In person

Key Responsibilities: • Architect and design complex, scalable workflows and solutions that align with business needs and technology goals. • Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise applications. • Lead initiatives to improve data interoperability, ensuring seamless integration of systems and enabling efficient data exchange across diverse platforms. • Lead the design and implementation of robust APIs, ensuring that they enable effective system integration, scalability, and data flow. • Advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence. Good to have: • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. • 10-12 years of experience in software architecture, with expertise in cloud-native architectures and data integration strategies. • Strong experience in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies. • Proficient in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a focus on automation and infrastructure-as-code. • Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures. • Proven experience with data interoperability frameworks and tools, ensuring the seamless flow of data between different systems.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your Future team At DevInfra Transformations, we enable teams to ship quality at velocity. Our focus is to “ Build an industry-leading internal platform. Validate our hypothesis with data. Ship features for internal and external usage”. This is accomplished by building complete end-to-end ML enabled development cycle and leveraging AI capabilities extensively. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially forecasting modelings, and tackle challenging and distinctive problems. Responsibilities Responsibilities As a Machine Learning engineer -2, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality into Atlassian products and platforms. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model features, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across Atlassian. Qualifications On the first day, we'll expect you to have Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience) 5+ years of related industry experience in the data science domain Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks) Experience building and scaling machine learning models in business applications using large amounts of data Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" Agile development mindset, appreciating the benefit of constant iteration and improvement Good to have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions Our Perks & Benefits Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .