1134 Aiml Jobs - Page 7

Role & responsibilities Freshers with AI Explosure Qualification : Any Degree Location: Guindy - WF0 Regards Shyam J Senior HR Analyst 106-109, Anna Salai, Guindy, Chennai 600032 M: +91 9840833416 exelatech.com • About EXELA • Instagram • LinkedIn

1. Lead Development and deployment of AI Compilers at system level, leveraging deep expertise in AI/ML and Data Science to ensure scalability, reliability, and efficiency. 2. Direct the implementation and optimization of AI Device specific compiler technology, personally driving solutions for complex problems. 3. Collaborate closely with cross-functional teams hands-on approach to ensure seamless integration and efficiency. 4. Proactively stay abreast of the latest advancements in AI/ML technologies and actively contribute to the development and improvement of AI frameworks and libraries, leading by example in fostering innovation. 5. Effectively communicate technical concepts to non-technical stakeholders, showcasing excellent communication and interpersonal skills while leading discussions and decision-making processes. 6. Uphold industry best practices and standards in AI engineering , maintaining unwavering standards of code quality, performance, and security throughout the development lifecycle. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 1. AI compiler development Leadership: - Deep experience in demonstrating coding skills, teaming capabilities, and end-to-end understanding of Enterprise AI product. - Deep background in machine learning, deep learning. - Hands-on expertise with MLIR and other AI compilers like XLA, TVM, etc. - Deep understanding of AI accelerators like GPU, TPU, Gaudi, Habana, etc. - Expertise with product design, design principles and integration with various other enterprise products. 2. Traditional AI Methodologies Mastery: - Demonstrated proficiency in traditional AI methodologies, including mastery of machine learning and deep learning frameworks. - Familiarity with model serving platforms such as Triton inference server, TGIS and vLLM, with a track record of leading teams in effectively deploying models in production environments. - Proficient in developing optimal data pipeline architectures for AI applications, taking ownership of designing scalable and efficient solutions. 3. Development Ownership: - Proficient in backend C/C++, with hands-on experience integrating AI technology into full-stack projects. - Demonstrated understanding of the integration of AI tech into complex full-stack applications. - Strong skills in programing with Python - Strong system programming skills 4. Problem-Solving and Optimization Skills: - Demonstrated strength in problem-solving and analytical skills, with a track record of optimizing AI algorithms for performance and scalability. - Leadership in driving continuous improvement initiatives, enhancing the efficiency and effectiveness of AI solutions. Preferred technical and professional experience 1. Knowledge in AI/ML and Data Science: - Over 13 years of demonstrated leadership in AI/ML and Data Science, driving the development and deployment of AI models in production environments with a focus on scalability, reliability, and efficiency. - Ownership mentality, ensuring tasks are driven to completion with precision and attention to detail. 2. Compiler design skills: - Proficiency in LLVM - Base compiler design concepts 3. Commitment to Continuous Learning and Contribution: - Demonstrated dedication to continuous learning and staying updated with the latest advancements in AI/ML technologies. - Proven ability to contribute actively to the development and improvement of AI frameworks and libraries. 4. Effective Communication and Collaboration: - Strong communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders. - Excellence in interpersonal skills, fostering collaboration and teamwork across diverse teams to drive projects to successful completion.

Key Responsibilities: Design and implement generative AI models using LLMs, GANs, VAEs, and diffusion models. Fine-tune and optimize pre-trained models (e.g., GPT, LLaMA, Claude) for specific business use cases. Develop and maintain scalable pipelines for training, evaluation, and deployment of generative models. Integrate generative models into production systems using APIs and cloud services. Collaborate with data scientists, product managers, and software engineers to define project goals and deliverables. Monitor model performance and continuously improve accuracy, efficiency, and safety. Stay up to date with the latest research and advancements in generative AI and machine learning. Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in machine learning, with at least 1–2 years focused on generative models. Proficiency in Python and ML frameworks like PyTorch or TensorFlow. Experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases (e.g., FAISS, Pinecone). Familiarity with MLOps tools (e.g., MLflow, Weights & Biases) and containerization (Docker, Kubernetes). Strong understanding of deep learning architectures and training techniques. Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scaling.

Deliver theory + real-time project-based training in AI / ML / Data Science, Full Stack Web Development (Java / Python), Cyber Security, Data Analytics, Embedded Systems. Deliver theory & Practical hands-on training and real-time project guidance

Job Title: AIML Lead Experience: 5+ Years Location: Chennai / Madurai Job Type: Full-time | Onsite / Hybrid Job Summary: We are looking for an experienced AI/ML Lead to drive the design, development, and deployment of cutting-edge solutions in Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Deep Learning . You will lead a team of data scientists and ML engineers, working on innovative projects across domains. Key Responsibilities: Lead end-to-end delivery of AI/ML projects in GenAI, NLP, and LLMs . Design and implement state-of-the-art deep learning models and algorithms. Fine-tune and optimize foundation models (GPT, BERT, LLaMA, etc.) for real-world use cases. Guide research and experimentation in generative AI (text, image, or audio-based). Collaborate with cross-functional teams (Product, Data Engineering, DevOps). Stay updated with latest advancements in AI/ML and apply them to business problems. Mentor junior ML engineers and data scientists. Ensure model performance, scalability, and compliance with ethical AI practices. Required Skills: Strong expertise in Generative AI , LLMs (e.g., GPT, Claude, PaLM), and transformer-based architectures . Proficient in NLP , deep learning , and machine learning pipelines . Experience with Python , PyTorch , TensorFlow , LangChain , Hugging Face , etc. Hands-on experience deploying ML models in production. Experience in prompt engineering, fine-tuning, and embeddings. Strong understanding of vector databases (e.g., FAISS, Pinecone, Weaviate). Experience with cloud platforms (AWS, GCP, or Azure).

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.

Job Application Link: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369 Job Summary: Experienced AI Engineer with expertise in machine learning, deep learning, and AI model development. Responsible for designing, implementing, and deploying AI/ML solutions in production environments. Will collaborate with cross-functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs or RNNs or Transformers or GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) 3+ years of experience

Generative AI & Model Optimization: Fine-tune & run LLMs/SLMs, distillation, quantization of LLMs Deliveries Conversational Text AI Platform: Build maintain Conversational Text AI system, build reusable components, deployment of conversational AI syt Required Candidate profile Mandatory: 4+ yrs exp in full-stack Development 2+ yrs in Backend using Python & Node.JS 1+ yr in Frontend Javascript, HTML/CSS Exp with Redis, PostgreSQL, Cosmos DB (NoSQL) Exp in AI/ML stack

Hiring for Intern Qualification: BTech any department 2025 passed out only Location: Chennai Shift: Rotational Shift (including night) Mode: work from office

We are looking for a highly skilled Performance Testing Engineer with expertise in Apache JMeter to join our QA team. The ideal candidate will be responsible for designing and executing performance tests, as well as gathering performance requirements from stakeholders to ensure systems meet expected load, responsiveness, and scalability criteria. As a Performance Engineer at Boomi, you will validate and recommend performance optimizations in our computing infrastructure and software. You will collaborate with Product Development and Site Reliability Engineering teams on performance monitoring, tuning, and tooling. Your responsibilities will include analyzing software architecture, working on capacity planning, identifying KPIs, and designing scalability and resiliency tests using tools like JMeter, blazemeter, and Neoload. Essential requirements for this role include expertise in performance engineering fundamentals, monitoring performance using native Linux OS and APM tools, understanding AWS services for infrastructure analysis, and experience with tools like NewRelic and Splunk. You should also be skilled in analyzing heap dumps, thread dumps, and SQL slow query logs, and recommending optimal resource configurations in Cloud, Virtual Machine, and Container technologies. Desirable requirements include experience in writing custom monitoring tools using Java, Python, or similar languages, capacity planning using AI/ML, and performance tuning in Java or similar application code. At Boomi, we offer a culture of caring, continuous learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust environment. If you are passionate about solving challenging problems, working with cutting-edge technology, and making a real impact, we encourage you to explore a career with Boomi. Join us in Bangalore/Hyderabad, India, and be a part of our Performance, Scalability, and Resiliency(PSR) Engineering team to do the best work of your career and make a profound social impact.,

You will be responsible for hiring Assistant Professors for the CSE & IT branches at Matrusri Education Society (MVSR & MEC) in Hyderabad. The ideal candidates should possess a minimum of 3+ years of relevant teaching experience and must have expertise in teaching both even and odd semesters. Additionally, candidates should be proficient in teaching subjects like AI/ML, cyber security, full-stack development, and conducting lab sessions. Excellent communication skills and a strong understanding of the subjects are essential requirements for this role. Candidates located in Hyderabad will be given preference for this position. Your responsibilities will include teaching both even and odd semesters, as well as conducting lab sessions. You will also be expected to have good exposure to administrative activities related to the role. To qualify for this position, candidates must have completed B.Tech in CSE and M.Tech in CSE. The job is offered on a full-time basis. The benefits associated with this position include Provident Fund. The working schedule is during the day shift. Ideal candidates will have at least 3 years of experience as an Assistant Professor in B.Tech-CSE/IT. Proficiency in English, Telugu, and Hindi languages is preferred. The work location for this position is in-person.,

The company is an innovative AI-driven organization focused on revolutionizing Real Estate with AI technology. As they continue to grow and reach new heights, they are in search of a detail-oriented and strategic Finance Manager to oversee the financial well-being of the company. As an AI R&D Engineer, you will be responsible for designing, training, fine-tuning, and evaluating large language models for various conversational AI applications. Your role will involve staying updated on the latest developments in LLMs, NLP, and generative AI, as well as proposing and implementing innovative methods to enhance model performance and reliability. Collaboration with product managers, software engineers, and UX designers will be essential to seamlessly integrate AI models into user-facing applications. Additionally, you will develop APIs, tools, and infrastructure for deploying models in production environments, establish evaluation metrics and benchmarks for conversational systems, and continuously monitor model performance for optimization based on user feedback and data-driven insights. Furthermore, you will play a key role in guiding and mentoring junior engineers in applied AI research, engineering best practices, and MLOps. The company encourages a culture of experimentation, excellence, and continuous learning to drive innovation and growth. Qualified candidates should have a minimum of 2 years of experience in AI/ML R&D, with expertise in NLP and LLM technologies such as GPT, LLaMA, Falcon, and PaLM. Strong programming skills in Python, proficiency in ML frameworks like PyTorch or TensorFlow, experience with cloud platforms, containerization, and CI/CD pipelines, as well as the ability to communicate complex ideas effectively to technical and non-technical stakeholders are essential for success in this role. If you are interested in this opportunity, please share your CV at anjali@hirojet.com.,

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhereon premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Mumbai for our hybrid working model. As an ideal candidate, you will have Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software. Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity. Experience designing with scalable and highly available distributed systems in the cloud and on-prem. Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology. Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan. The ability to travel up to 25%. A Bachelor's degree or equivalent work experience. You may also have Experience selling databases and/or deploying applications with any of the major cloud providers. Experience with database programming and data models. Experience in data engineering or AI/ML projects. Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks. Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message. A MongoDB Certification. A Cloud Provider Certification. In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB. Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders. Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation). Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events. Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction. Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members. Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees" wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

You will be joining a pioneering AI team where you will be responsible for designing and deploying cutting-edge deep learning solutions for computer vision and audio analysis. Your main tasks will include designing, developing, and optimizing deep learning models for image/video analysis (object detection, segmentation) and audio classification tasks. You will work with CNN architectures, Vision Transformers (ViT, Swin), and attention mechanisms (SE, CBAM, self/cross-attention) to address complex real-world challenges. In this role, you will process multi-modal data including video and audio. For video, you will apply spatiotemporal modeling (3D CNNs, temporal attention), while for audio, you will extract features (spectrograms, MFCCs) and build classification pipelines. You will also utilize pretrained models through transfer learning and multi-task learning frameworks, and optimize models for accuracy, speed, and robustness using PyTorch/TensorFlow. Collaboration with MLOps teams to deploy solutions into production is a key aspect of this role. Your required skills include advanced programming in Python (PyTorch/TensorFlow), expertise in computer vision concepts such as Vision Transformers, object detection techniques (YOLO, SSD, Faster R-CNN, DETR), and video analysis methods including temporal modeling. Additionally, you should have experience in audio processing, attention mechanisms, transfer learning, and training strategies. Experience in handling large-scale datasets and building data pipelines is also essential. Preferred qualifications for this role include exposure to multi-modal learning, familiarity with R for statistical analysis, and a background in publications or projects related to computer vision or machine learning conferences such as CVPR, NeurIPS, ICML. Please note that this position is for a client of Hubnex Labs, and selected candidates will work directly with the client's AI team while representing Hubnex.,

At Presidio, you will be part of a global technology revolution, leading the way in transforming industries with cutting-edge digital solutions and AI advancements. By empowering businesses and customers through innovation, automation, and intelligent insights, you will play a vital role in shaping the future. As a Senior Solutions Architect at Presidio, your primary responsibility will be to collaborate with top-tier customers to drive Cloud Adoption and Application Modernization. Working closely with customers, sales teams, partners, and other internal teams, you will develop solutions that address customer business challenges and accelerate the adoption of Cloud services. Your role will also involve partnering with sales to enhance revenue growth across diverse customer portfolios. Your key responsibilities will include formulating and executing sales strategies to surpass revenue targets by promoting Cloud and Cloud Native Strategies. You will actively participate in the sales cycle to ensure successful building, modernization, and migration of applications, software, and services on Cloud platforms. Educating customers on the value of Cloud services, engaging in architectural discussions, and conducting training sessions will be essential aspects of your role. Additionally, you will share best practices within the solutions architect community, establish strong relationships with technical stakeholders, and serve as a technical liaison between customers, sales teams, and partners. To excel in this role, you should have over 10 years of experience in consulting or advisory services, along with a background in systems engineering, software development, or application architecture. Proficiency in designing and operating AWS, Microsoft Azure, or Google Cloud Platform Solutions is crucial, as is experience in presales or consulting roles with large customer environments. You should also possess knowledge of modern cloud-native tools, frameworks, and methodologies, and have expertise in architecting and operating cloud-based applications and integration solutions. Strong presentation skills, thought leadership abilities, excellent communication, adaptability to new technologies, and experience in legacy system migrations are desired skills. Familiarity with Agile Frameworks, architecture frameworks, and Cloud Vendor Professional Certifications are preferred qualifications for this role. Your work location will be in Bangalore/Chennai, covering the EST time zone. Joining Presidio means becoming part of a culture that thrives on innovation, collaboration, and pushing boundaries. With expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, Presidio empowers businesses to succeed in a rapidly evolving digital landscape. Your impact at Presidio will be significant, whether you're leveraging Generative AI, architecting digital ecosystems, or driving data-driven transformation. Presidio is a trusted partner for organizations worldwide, offering deep expertise in AI, automation, security, networking, digital transformation, and cloud computing. By fostering a diverse and inclusive workforce, Presidio aims to attract top talent from all backgrounds and communities. If you are ready to innovate and redefine the future alongside a team of trailblazers, thinkers, and builders, Presidio is the place for you.,

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,

As an AI Test Automation Developer in Bangalore hybrid, your responsibilities will include developing AI-driven test agents to automate routine testing tasks such as test case generation, documentation, and scripting. You will be responsible for implementing automation frameworks for testing AI models and software components, as well as integrating test automation solutions into existing frameworks. Additionally, you will design and develop automated test scripts using open-source tools and frameworks, and identify, analyze, and document defects in AI models and software applications. Collaboration with developers and data scientists to ensure AI algorithms meet quality standards is a key aspect of your role. Monitoring and troubleshooting AI system performance to improve accuracy and efficiency, integrating security testing into the automation framework to identify vulnerabilities, and conducting penetration testing to assess security risks in AI-powered applications are also part of your responsibilities. Ensuring compliance with security standards and best practices for AI models and software, as well as staying updated on industry trends and advancements in AI testing methodologies and cybersecurity, are essential for success in this role. To qualify for this position, you should have a Bachelor's degree in computer science or equivalent, along with a minimum of 10 years of experience in QA test automation development. Proficiency in programming languages such as C#, Java, or Python is required. Hands-on experience with test automation tools like Selenium, TestNG, Junit, Playwright, or equivalent is necessary. Strong knowledge of AI/ML concepts, particularly LLMS and Gen AI testing frameworks and techniques, is essential. Experience working with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps is preferred. Understanding security testing methodologies, including penetration testing and vulnerability assessments, is a key requirement. Experience with web applications, mobile apps, and cloud platforms (AWS, Azure, or Google Cloud) for AI model deployment and testing is beneficial. Strong experience with testing the reliability and accuracy of synchronous APIs by verifying request-response interactions and asynchronous APIs is also important. Deep knowledge of user story to test case translation with methods like Gherkin/Cucumber or equivalent is required. The ability to quickly grasp and distill highly complex user design issues into clean, understandable solutions is a must. You must be able to flourish in a fast-paced, iterative, deadline-driven environment. Strong communication and organizational skills are critical to success among a company of talented individuals.,

As the Senior Director of Product Management at Zinnia, you will play a pivotal role in leading the vision, development, and delivery of cutting-edge platforms tailored for the Banking, Financial Services, and Insurance (BFSI) industry. Your responsibilities will include owning product strategy and portfolio direction, driving innovation with emerging technologies, providing end-to-end product leadership, leading high-performing cross-functional teams, and collaborating across functions to deliver scalable, customer-centric solutions. Your role will involve defining and driving the product strategy, vision, and multi-year roadmap for Case Management, Event Processing, and AI/Automation-led solutions in alignment with organizational goals. You will champion the integration of AI/ML, event-driven architectures, and automation to revolutionize core processes within the BFSI ecosystem. Additionally, you will oversee the entire product lifecycle, from market research and ideation to execution, go-to-market strategies, and customer adoption. To excel in this role, you should possess 15+ years of experience in product management, with a minimum of 5 years leading teams in the BFSI or enterprise SaaS sector. Your track record should demonstrate proven expertise in building and launching digital products within financial services, insurance, or fintech industries. Hands-on experience with Case Management, Digital Event Processing, and Process Automation will be essential, along with strong leadership skills in scaling and mentoring cross-functional product teams. You must have a history of driving innovation through AI, automation, and event-driven technologies in regulated environments. Your proficiency across the full product lifecycle, from strategy and roadmap development to delivery and adoption, will be crucial for success in this role. Additionally, your ability to navigate complex stakeholder environments and align with business, compliance, and tech teams will be key to driving business growth and operational transformation within a highly regulated space. In return, this role offers you the opportunity to be at the forefront of shaping the future of the BFSI industry, working with a dynamic team, and contributing to Zinnia's mission of simplifying the experience of buying, selling, and administering insurance products for individuals to protect their financial futures.,

As a qualified candidate for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have extensive experience in AI/ML, specifically focusing on Generative AI technologies. Demonstrated success in leading and delivering complex AI projects is essential for this position. Your expertise should include a strong understanding of GenAI frameworks, tools, and methodologies. You must exhibit excellent problem-solving skills, strategic thinking abilities, and proficient project management capabilities. Effective communication and collaboration with diverse teams and stakeholders are crucial aspects of this role. Experience with cloud platforms and AI deployments in cloud environments, with a preference for Azure, is highly desirable. Preferred skills for this role include hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, encompassing machine learning techniques and algorithms, is advantageous. You should be skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack and knowledge of client-side scripting (JavaScript and jQuery) are beneficial. Understanding ethical AI principles and implementing best practices is expected. Proficiency in programming languages such as Python, R, Java, and Regex expressions is required. Experience using requirement management tools like TFS is beneficial. Strong verbal and written communication skills are essential, along with the ability to influence peers and leadership positively.,

The Research & Development department is seeking an experienced individual to oversee the design and development of applications using Rust, React, and Python. You will be responsible for managing database schema design, optimization, and integration with SQL/NoSQL databases such as MongoDB, PostgreSQL, or Redis. Collaboration with the Cloud and Platform Engineering team will be essential to integrate development solutions with cloud platforms like AWS, Azure, or Google Cloud. As a leader, you will be expected to manage a team of developers, encouraging innovation and technical excellence. Defining and enforcing development best practices, coding standards, and version control strategies will be crucial. Ensuring the scalability and performance of applications through robust architectural practices is a key aspect of the role. Implementation of CI/CD pipelines to streamline development and deployment processes will be a part of your responsibilities. Additionally, conducting code reviews and effectively managing technical debt are essential tasks. The ideal candidate should possess expertise in Rust, React, and Python development environments. A strong understanding of database systems (SQL and NoSQL) and query optimization techniques is required. Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) and cloud-native architectures is also necessary. Familiarity with microservices, API integration, and containerization (Docker, Kubernetes) is preferred. Proven leadership experience in mentoring and managing development teams is crucial. Strong analytical and problem-solving skills are expected. A Master's degree in Computer Science, Engineering, or a related field is required. Experience with GraphQL or REST API design, familiarity with DevSecOps practices and tools, knowledge of testing frameworks (e.g., PyTest, Jest), and exposure to AI/ML integration within applications will be advantageous. If you meet the qualifications and are excited about the opportunity to work in a dynamic environment, please send your CV to careers@eventussecurity.com. This position is based in Ahmedabad and requires 7-15 years of experience in the field.,

As a professional in Cloud Sales, you will be responsible for building and maintaining strong relationships with customers and partners on platforms such as AWS & GCP throughout the duration of engagements. Your role will involve collaborating closely with diverse teams to support customer acquisition and contribute to the increase of revenue and market share. Additionally, you will play a vital role in supporting the international consulting team by providing valuable insights and helping implement cloud strategies for customers in areas such as AI/ML, Big Data, Analytics, IoT, and Cloud Migration. Your technical expertise should include a minimum of 3+ years of experience in Cloud Sales, primarily focusing on AWS and GCP. You should have a keen interest in consulting with clients, enjoy working on agile projects such as Scrum and Kanban, and have the ability to drive topics forward independently. Strong analytical and conceptual skills, along with excellent self-organization abilities, are essential for success in this role. Effective communication and presentation skills are crucial, and you should be willing to travel within PAN India for work-related purposes. Previous experience in customer-facing roles will be advantageous, and familiarity with sales, communication, and presentation tools is necessary. Any initial knowledge of AWS or AWS certifications will be considered a plus. Proficiency in the English language is also required to effectively fulfill the responsibilities of this position.,

As a technology-led healthcare solutions provider, our purpose at Indegene is to enable healthcare organizations to be future-ready. We offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. Joining Indegene means embarking on a unique career journey that celebrates entrepreneurship and is fueled by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the intersection of healthcare and technology, visit www.careers.indegene.com. If you are looking to kickstart your career, the first few years are crucial as they lay the foundation for your professional journey. At Indegene, we guarantee a distinctive career experience where you will work at the dynamic crossroads of healthcare and technology while being mentored by industry experts. Our global fast-track career path aligns with Indegene's rapid growth trajectory, offering you immense opportunities for personal and professional development. We are driven by our purpose to enable healthcare organizations to be future-ready, with customer obsession as our core driving force. Our approach is characterized by bold actions, nimble decision-making, and industrious work ethics. **Senior Manager - Data & Analytics** **Responsibilities:** - Manage a variety of commercial analytics projects, focusing on marketing mix, customer, and brand performance analytics with expertise. - Utilize popular analytics tools such as Python/R and statistical/data science packages to deliver diverse analytics projects. - Solve complex analytics problems including customer scoring & affinity modeling, customer segmentation, promotion response & marketing mix modeling, customer journey, NBA, and sales force analytics/SFE. - Execute a range of analytics projects spanning data wrangling, AI/ML, business intelligence, ad-hoc analytics, and complex business operations projects based on client requirements. - Provide technical and business leadership to junior team members, preparing them for increased responsibilities. - Collaborate with team members to drive innovation through automation, new ideas, capabilities, and tools. - Lead client communication by providing regular updates, insights, and recommendations via appropriate channels. - Effectively communicate insights and information to various stakeholders through exceptional oral and written skills. **Desired Profile:** - 8 years of relevant experience. - Proficiency in managing small and large datasets using Excel/VBA, MS Access/SQL Server, Python/R. - Knowledge of statistics and the ability to run predictive/machine learning models in Python/R. - Capability to automate SFE dashboards/processes in Excel/PPT or other platforms per client requirements. - Experience in pharmaceutical commercial analytics is essential. - Strong presentation and communication skills. **Nice to have:** - Experience with data visualization platforms like Tableau, Power BI, QlikView. - Ability to perform advanced analytics analyses such as regression analysis, clustering, time series modeling, etc. Join us in Bangalore, KA, IN, and be part of a team that is shaping the future of healthcare through technology and innovation. At Indegene, we offer equal opportunities for all individuals to thrive and grow in their careers.,

Genpact is a global professional services and solutions firm focused on delivering outcomes that shape the future. With over 125,000 employees across 30+ countries, our team is driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, underpins our work as we serve and transform leading enterprises worldwide, including Fortune Global 500 companies. We leverage deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI to drive innovation and success. We are currently seeking applications for the role of Vice President, Enterprise Architecture Consulting- GCP Delivery Lead at Genpact. In this critical leadership position, you will be responsible for managing the delivery of complex Google Cloud Platform (GCP) projects, ensuring client satisfaction, team efficiency, and innovation. The ideal candidate will bring deep industry expertise, technical excellence, and strong business acumen to shape our organization's data and cloud transformation roadmap. As the Delivery Lead, your key responsibilities include overseeing the successful delivery of multimillion-dollar engagements involving GCP, managing client relationships, leading global project teams, ensuring adherence to delivery governance standards, and driving innovation within the scope of GCP initiatives. You will play a vital role in shaping the data and cloud transformation journey of our organization. Key Responsibilities: - Own and drive end-to-end delivery of GCP & Data Engineering programs across multiple geographies & industry verticals. - Establish a best-in-class data delivery framework ensuring scalability, security, and efficiency in GCP-based transformations. - Act as a trusted advisor to C-level executives, driving customer success, innovation, and business value. - Lead executive-level stakeholder engagement, aligning with business strategy and IT transformation roadmaps. - Drive account growth, supporting pre-sales, solutioning, and go-to-market (GTM) strategies for GCP and data-driven initiatives. - Ensure customer satisfaction and build long-term strategic partnerships with enterprise clients. - Shape the organization's Data & AI strategy, promoting the adoption of GCP, AI/ML, real-time analytics, and automation in enterprise data solutions. - Establish data accelerators, reusable frameworks, and cost optimization strategies to enhance efficiency and profitability. - Build and mentor a high-performing global team of cloud data professionals, including data engineers, architects, and analytics experts. - Foster a culture of continuous learning and innovation, driving upskilling and certifications in GCP, AI/ML, and Cloud Data technologies. - Stay informed about emerging trends in GCP, cloud data engineering, and analytics to drive innovation. Qualifications: Minimum Qualifications: - Experience in IT Services, with a focus on data engineering, GCP, and cloud transformation leadership. - Bachelor's degree in Computer Science, Engineering, or a related field (Masters or MBA preferred). Preferred Qualifications/ Skills: - Proven track record in delivering large-scale, multimillion dollar GCP & data engineering programs. - Deep understanding of the GCP ecosystem, including Data Sharing, Streams, Tasks, Performance Tuning, and Cost Optimization. - Strong expertise in cloud platforms (Azure, AWS) and data engineering pipelines. - Proficiency in modern data architectures, AI/ML, IoT, and edge analytics. - Experience in managing global, multi-disciplinary teams across multiple geographies. - Exceptional leadership and executive presence, with the ability to influence C-suite executives and key decision-makers. Preferred Certifications: - Certified Google Professional Cloud Architect or equivalent. - Cloud Certifications (Azure Data Engineer, AWS Solutions Architect, or equivalent). - PMP, ITIL, or SAFe Agile certifications for delivery governance. If you are a dynamic leader with a passion for driving innovation and transformation in the cloud and data space, we encourage you to apply for the Vice President, Enterprise Architecture Consulting- GCP Delivery Lead role at Genpact. Join us in shaping the future and delivering value to clients worldwide.,

The role of Senior Appian Developer at Appyzie in Jaipur, Rajasthan will require you to lead end-to-end Appian solution delivery. You should possess deep technical expertise and excel in fast-paced development environments. Your responsibilities will include designing, developing, and deploying Appian applications, translating complex business requirements into scalable solutions, and collaborating with cross-functional teams. Additionally, you will guide junior developers, build reusable components, and stay updated with the latest Appian features. To excel in this role, you must have Appian Senior Developer certification and at least 5 years of experience delivering multiple full-cycle Appian projects. Your expertise should cover Process Models, SAIL, Interfaces, Expression Rules, and Integrations. Proficiency in Appian Designer, CDTs, data store entities, and security configurations is essential. You should also be adept at integrating Appian with external systems and have exposure to Appian DevOps tools and CI/CD pipelines. Knowledge of Agile/Scrum methodologies, JIRA or Azure DevOps, and experience in leading teams will be beneficial. If you are looking to drive innovation, contribute to solution architecture, and have a passion for building scalable, high-quality applications using the Appian platform, this role is ideal for you.,

You should have around 3 years of experience working as an NLP Engineer or in a similar role where you have demonstrated an understanding of NLP techniques for text representation and semantic extraction. Your expertise should also extend to data structures and modeling, enabling you to effectively design software architecture. A deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, as well as statistics and classification algorithms is essential for this role. Your proficiency in Python is crucial, along with a solid grasp of data structures and algorithms. Experience with Machine Learning Libraries such as scikit-learn, PyTorch, and TensorFlow will be highly beneficial. As a Python AI/ML Developer, you should possess an analytical mind with strong problem-solving abilities to excel in this position.,