1169 Aiml Jobs - Page 5

Job Title: Agent Developer (1- 3 years) Location: Remote Employment Type: Full-Time --- ## Role Overview As an Agent Developer, you’ll be part of a small, agile team responsible for designing, implementing, testing, and maintaining AI agents. You’ll gain hands-on experience across the full agent development lifecycle—from data ingestion and prompt engineering to API integration and performance tuning. --- ## Key Responsibilities Agent Implementation: Build and extend agents using our internal frameworks and APIs. Prompt & Dialogue Engineering: Craft, evaluate, and refine prompts and conversation flows to ensure clear, accurate, and context-aware responses. Integration: Connect agents with external data sources (REST APIs, databases, CMS) to fetch, process, and deliver real-time information. Testing & QA: Develop unit and end-to-end tests (including automated test suites) to validate agent behavior, accuracy, and performance. Monitoring & Optimization: Instrument agents for logging and metrics, analyze performance data, and implement improvements for latency, relevancy, and user satisfaction. Collaboration: Work closely with Product, UX, and Data Science teams to gather requirements, share progress, and iterate on features. Documentation: Maintain clear technical documentation for agent designs, APIs, and best practices. --- ## Required Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (completed within the last 12 months). Programming: Solid proficiency in Python; familiarity with JavaScript/TypeScript is a plus. Foundational AI/ML Knowledge: Understanding of NLP fundamentals (tokenization, embeddings, intent classification) and working knowledge of transformer-based models. API Experience: Hands-on with RESTful APIs and basic knowledge of JSON, HTTP, and OAuth. Problem-Solving: Strong analytical skills with ability to break down complex problems and propose efficient solutions. Communication: Clear written and verbal communication, with an ability to present technical concepts to both technical and non-technical stakeholders. --- ## Preferred Qualifications Practical Exposure: Internships or project experience involving AI/NLP, chatbots, or virtual assistants. Prompt Engineering: Familiarity with prompt-based interactions for models like GPT-4 or similar. Testing Frameworks: Experience using pytest, unittest, or similar testing tools. Cloud Platforms: Basic exposure to AWS, GCP, or Azure services (e.g., Lambda, S3). Version Control: Comfortable with Git workflows and collaborative code reviews.

Role Summary: We are seeking an experienced Solution Architect to lead the design and implementation of CRM and Contact Center solutions tailored to the banking and financial services domain. This individual will work closely with business stakeholders, technology teams, and vendors to ensure robust, scalable, and compliant architectures that enhance customer engagement and operational efficiency. Key Responsibilities: Define end-to-end solution architectures for CRM platforms (e.g., Salesforce, Microsoft Dynamics) and Contact Center solutions (e.g., Genesys, Avaya, Cisco, NICE, Amazon Connect). Translate banking business requirements into architectural blueprints and system designs. Lead technical discussions with internal teams, vendors, and partners. Ensure architecture aligns with enterprise standards, security, compliance, and data governance requirements. Evaluate and recommend platforms, frameworks, and integration strategies. Provide architecture oversight during solution implementation, testing, and go-live. Design customer journey flows, CTI integrations, IVR logic, and omnichannel experiences. Support CRM data modelling, campaign management, workflow automation, and AI/ML enablement. Guide teams on best practices for contact center reporting, WFM, call routing, and quality management. Ensure scalability, fault tolerance, and performance optimization for high-availability environments. Required Qualifications & Skills: Bachelors or Masters degree in Computer Science, Information Systems, or related field. 8+ years of experience in solution architecture, with at least 4 years in banking/financial services. Strong domain knowledge in retail/corporate banking, customer service, and digital transformation. Hands-on experience with leading CRM platforms (e.g., Salesforce, MS Dynamics, Siebel). Deep expertise in Contact Center platforms (e.g., Genesys Cloud/Engage, Cisco UCCE, NICE, Avaya). Solid understanding of CTI, SIP/VoIP, telephony systems, call flows, and channel integration. Proficiency in system integration patterns (APIs, ESB, middleware, etc.). Familiarity with AI/ML, chatbots, voice bots, and intelligent routing in the contact center space. Experience with data privacy (GDPR, local compliance), KYC/AML processes, and security standards. TOGAF, Salesforce Architect, AWS/Azure certifications (preferred but not mandatory).

Join as Principal AI, Blockchain & Payments Architect (Remote). Lead AI/ML & Blockchain integration in a cutting-edge payments platform. FinTech, Java, Python, AI, DLT, global rails. DM or send resume to suresh@goldenpicktech.com. Flexi working Work from home Performance bonus

Responsibilities: Architectural Design & Leadership: Lead the design and development of end-to-end scalable, secure, and cost-effective Azure-based architectures for Generative AI solutions, including large language models (LLMs), image generation, and other AI-driven applications. Generative AI Expertise: Provide deep subject matter expertise in Generative AI technologies, including model selection, training methodologies, fine-tuning, prompt engineering, and deployment strategies. Azure Service Mastery: Demonstrate comprehensive knowledge of Azure services relevant to AI/ML, such as Azure Machine Learning, Azure OpenAI Service, Azure AI foundary, AI Hub, Prompt Flow, Azure Kubernetes Service (AKS), Azure Data Lake Storage, Azure Databricks, Azure Functions, Azure Cosmos DB, Azure SQL Database, and relevant networking and security services. Cost Optimization: Design architectures with a keen eye on cost efficiency, proactively identifying and implementing strategies for optimizing Azure resource consumption for AI workloads. Security by Design: Embed security best practices into all architectural designs, ensuring compliance with industry standards and organizational security policies. This includes data encryption, access control, network security, and threat mitigation strategies. Review Board Approvals: Prepare and present detailed architectural designs and security postures to Architecture Review Boards and Security Review Boards, effectively addressing feedback and securing necessary approvals. Technical Guidance & Mentorship: Provide technical leadership, guidance, and mentorship to development teams, ensuring successful implementation and adherence to architectural standards. Stakeholder Collaboration: Collaborate effectively with product owners, data scientists, machine learning engineers, and other stakeholders to translate business requirements into technical solutions. Staying Current: Continuously research and evaluate emerging Azure services, Generative AI technologies, and industry trends to recommend innovative solutions. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Experience: 10+ years of experience in IT architecture, with at least 5 years focused on Azure cloud solutions. Proven experience in designing and implementing architectures for Generative AI solutions. Extensive experience presenting and gaining approvals from architectural and security review boards. Technical Skills: Deep understanding of Generative AI concepts, algorithms, and frameworks (e.g., Transformers, GANs, Diffusion Models). Hands-on experience with Azure OpenAI Service and other relevant Azure AI services. Strong proficiency in scripting/programming languages such as Python. Expertise in cloud security principles and best practices on Azure. Solid understanding of networking concepts, identity and access management (IAM), and data governance in Azure. Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure AI Engineer Associate Soft Skills: Excellent communication, presentation, and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work independently and as part of a team in a fast-paced environment. Demonstrated ability to influence and lead without direct authority.

Role Overview We're looking for a passionate and experienced AIML Engineering Lead to join our Pune team and spearhead the development of production-grade LLM-based agentic platform. In this role, you'll be instrumental in designing scalable infrastructure for our LLM systems and developing robust frameworks for prompt management. As a key team member, you'll have significant influence on our system architecture and technical direction. Job Location The position will be in-person in Pune, India. Key Responsibilities Architect and implement production-grade LLMOps pipelines Develop and maintain prompt engineering and evaluation systems Establish comprehensive monitoring and observability for ML system performance Drive continuous improvement in prompt accuracy using quantitative and qualitative feedback Lead system architecture decisions and guide technical strategy Implement efficient data processing and integration solutions Ensure code quality through rigorous testing, code reviews, and LLM best practices Required Qualifications B.Tech/B.E. in Computer Science, IT, or related field from a reputed institute 5+ years of software development experience, with 2+ years in MLOps/LLMOps Proven experience implementing CI/CD, MLOps, or LLMOps pipelines Production-level expertise with Azure Cloud, AI, ML, and Data Pipeline services Strong proficiency in Python and experience with FastAPI Solid understanding of ML algorithms and solutions Excellent problem-solving skills and ability to work independently Strong communication skills in English Willingness to work U.S. East Coast hours Desired Skills Advanced degree in Data Science, Machine Learning, or Computer Science Experience in productionizing GenerativeAI systems Expertise in optimizing ML-based systems Familiarity with Bicep, Terraform, or related infrastructure automation tools Advanced proficiency in Azure and Python Why Join MarketEngine.ai? - Be part of a high-growth Silicon-Valley startup revolutionizing SMB marketing technology. - Collaborate with industry leaders in AI/ML and marketing experts. - Competitive salary package (Best in industry) - Flexible work arrangements and a dynamic, intellectually stimulating environment - Opportunity to shape the future of demand generation technology for startups and SMBs

Role & responsibilities Python, Aiml, AWS and LLM

As a Pre-Sales Manager with a strong background in BPO enablement, you will play a crucial role in understanding client needs, translating them into solution proposals, and collaborating with Sales, Delivery, and Technology teams to ensure successful deal closures. Your responsibilities will include qualifying leads, analyzing requirements, designing solutions, creating proposals, responding to RFP/RFI, and strategizing pricing. You will work closely with various teams to develop client-centric solutions, prepare presentations and demos, and facilitate a smooth handover to the delivery teams. Your expertise in the BPO industry processes, Bid Management, transition models, and commercial constructs will be essential in driving the pre-sales cycle. You will need exceptional communication and presentation skills to engage with C-level stakeholders, as well as proficiency in proposal writing, solution articulation, and cost modeling. Familiarity with digital enablement of BPO services, such as RPA, AI/ML, Workflow Automation, and CRM integrations, will be advantageous. In addition to your technical skills, your leadership capabilities, cross-functional collaboration experience, and ability to work in a fast-paced, deadline-driven environment will be crucial for success in this role. You will also be expected to contribute to thought leadership initiatives by creating whitepapers, blogs, and customer success stories in the BPO domain. A Bachelor's degree in Business, Technology, or a related field is required for this role, with an MBA being preferred. Certifications in Sales, Process Improvement (Lean, Six Sigma), or Pre-Sales excellence will be considered an added advantage. If you are looking for a challenging opportunity to drive solution consulting, sales enablement, and proposal management in the BPO industry, we invite you to join our team as a Pre-Sales Manager. This is a full-time position with the opportunity to work with global clients and contribute to the digital transformation of BPO services. Take the next step in your career and apply now to be part of our dynamic team.,

It is exciting to be a part of a company where individuals truly BELIEVE in the mission at hand! The commitment is to infuse passion and customer-centricity into every aspect of the business. Fractal, a key player in the Artificial Intelligence domain, is dedicated to empowering human decisions within enterprises by merging AI, engineering, and design to support Fortune 500 companies globally. With over 3,000 employees spread across 16 international locations, including the United States, UK, Ukraine, India, Singapore, and Australia, Fractal has consistently been recognized for its excellence. Notable achievements include being rated as one of India's best companies to work for by The Great Place to Work Institute, acknowledged as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020, and Specialized Insights Service Providers Wave 2020 by Forrester Research, and identified as an "Honorable Vendor" in Gartner's 2021 Magic Quadrant for data & analytics. The team at Fractal is currently in search of an innovative and motivated Solutions Architect to join the expanding Edge & IoT team. In this role, you will collaborate closely with clients and internal engineering teams to conceptualize and implement efficient edge computing and IoT solutions. Leveraging our expertise in AI/ML and strategic partnerships with industry leaders like Microsoft, Intel, and Nvidia, you will showcase a high level of technical proficiency, comprehend client needs effectively, and deliver cutting-edge, top-quality solutions. To excel in this position, having a robust technical foundation in AI/ML and Edge Computing is essential, along with exceptional communication skills, the ability to think critically and creatively, and the capacity to adapt swiftly to new challenges. A successful Edge AI Solutions Architect will possess a deep understanding of both technological and business requirements, translating complex concepts into user-friendly solutions that drive client success and satisfaction. If you are prepared to contribute to a dynamic and progressive organization, we invite you to apply for this role. Key Responsibilities: - Collaborate with clients to collect requirements, grasp business objectives, and translate them into technical specifications for the engineering team. - Design innovative Edge & IoT solutions, integrating AI/ML components and utilizing cloud platforms like Azure, AWS, and GCP. - Contribute to and lead the development of Edge & IoT accelerators and PoVs. - Design, select, and deploy various IoT hardware components, considering factors such as power consumption, connectivity, interoperability, and environmental constraints. - Develop and present solution architecture and design documents, including diagrams, data flowcharts, and system requirements. - Work with engineering teams to ensure proper implementation of designed solutions and offer technical guidance throughout the project lifecycle. - Act as a mentor for team members, providing guidance, sharing knowledge, and fostering a collaborative and supportive learning environment within the Edge & IoT team. - Serve as a subject matter expert in Edge & IoT technologies, staying updated on industry trends, emerging technologies, and best practices. - Support the account team in the pre-sales process by providing technical assistance and insights into solution proposals. - Contribute to thought leadership initiatives and actively participate in internal trainings and knowledge-sharing sessions. Technical Skills Required: - Proficiency in IoT protocols like MQTT, CoAP, and AMQP. - Knowledge of edge computing technologies and platforms such as Azure IoT Edge, AWS Greengrass, or Google Edge IoT Core. - Understanding of AI/ML algorithms and frameworks, with experience in implementing them in Edge & IoT scenarios. - Experience with IoT devices, sensors, and connectivity solutions, along with cloud-based IoT platforms like Azure IoT Hub, AWS IoT Core, and Google Cloud IoT. - Proficiency in programming languages such as Python, C#, C/C++, or JavaScript. - Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, K3S). - Strong understanding of networking concepts, protocols, and technologies, as well as experience in designing secure, reliable, and scalable network architectures for IoT and edge computing solutions. - Knowledge of various hardware platforms such as Raspberry Pi, Arduino, NVIDIA Jetson, Intel NUC, and the ability to choose the appropriate platform based on specific requirements and constraints. - Expertise in packaging and deploying AI and ML models on edge devices using common AI frameworks like TensorFlow, PyTorch, or ONNX Runtime, and optimizing these models for efficient execution at the edge. - Design experience in IoT and edge computing solutions focusing on physical security, device management, thermal management, and enclosure design. - Ability to assess compatibility, interoperability, and performance of hardware components and integrate them into a structured solution architecture. - Understanding of industry standards, regulations, and best practices related to IoT hardware selection, deployment, and security. Qualifications: - Bachelor's or master's degree in computer science, Engineering, or related field. - Minimum 10-12 years of experience in designing and implementing IoT and edge computing solutions, with at least 4-5 years specializing in Edge AI and/or AI/ML integration. - Strong communication and presentation skills. - Excellent problem-solving abilities and attention to detail. - Capacity to work independently or as part of a team. If you thrive in a dynamic environment and enjoy collaborating with enthusiastic, high-achieving colleagues, you will find fulfillment in your career at Fractal!,

The Lead Data Scientist position within the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team offers a unique opportunity to be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. As a key member of the team, you will be responsible for leveraging advanced analytics, AI, and Machine learning technologies, including Large Language Models (LLMs), to transform how compliance, conduct, and operational risks are managed across the organization. Your primary responsibilities will include designing, deploying, and managing AI/ML models using advanced techniques such as LLMs and Agentic AI for developing compliance and risk management solutions. You will collaborate with cross-functional teams to identify requirements, conduct research on AI techniques, and effectively communicate technical concepts to both technical and non-technical stakeholders. Additionally, you will play a crucial role in analyzing and interpreting data to evaluate model performance and identify areas for improvement. To excel in this role, you are required to have a Master's degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from a top-tier university. You should have at least 12+ years of experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Proficiency in programming languages like Python, experience with frameworks like PyTorch or TensorFlow, and a solid understanding of machine learning concepts, including transformers and language modeling, are essential. Strong problem-solving skills, excellent communication abilities, and familiarity with data structures and algorithms for effective problem-solving in machine learning workflows are also required for this role. Join our CCOR Data Science team and be part of a leading analytics community where you will have opportunities for skill development and career growth in AI, machine learning, and data science.,

You have accumulated over 10 years of experience as a Product Manager/Product Owner, with a minimum of 2 years specifically in AI/ML product ownership. As an experienced Product Owner, you will be responsible for leading the vision, strategy, and implementation of our AI-based Test Intelligence Platform. This platform is designed to transform software testing through the utilization of AI/ML, data analytics, and automation to offer actionable insights, test generation, predictive testing, risk-based prioritization, and intelligent regression strategies. Your key responsibilities will include defining and managing the product roadmap, backlog, and feature prioritization based on customer requirements, business objectives, and AI capabilities. Collaboration with cross-functional teams, such as AI/ML engineers, QA, DevOps, and UX, will be essential to translate requirements into scalable product features. You will drive the discovery, definition, and delivery of features like test generation, test impact analysis, flaky test detection, root cause analytics, and automated risk scoring. Additionally, conducting competitive benchmarking of test intelligence tools and partnering with customers and internal stakeholders to collect feedback and enhance user journeys will be part of your role. Defining and monitoring necessary KPIs is also crucial. The ideal candidate will possess proven experience as a Product Owner or Product Manager in software development, test automation, DevOps, or quality engineering domains. A good grasp of AI/ML concepts, model lifecycle, and their integration in software products is essential. Familiarity with test frameworks, CI/CD pipelines, and telemetry tools, along with experience in test analytics, coverage tracking, impact-based testing, and test optimization, are required. Strong analytical, communication, and stakeholder management skills are necessary, as well as exposure to agile methodologies and tools. Experience with or the development of developer/tester tools, along with exposure to GenAI, LLMs, or NLP-driven test automation, will be considered advantageous.,

As a Junior Generative AI Developer with 1 to 2.6 years of experience, you will be an integral part of our dynamic team focusing on Artificial Intelligence. Your role will involve working on the development, training, and deployment of AI models, with a specific emphasis on generative AI. Collaboration with senior developers will be key as you contribute towards enhancing AI-driven applications. Your responsibilities will include assisting in the development and implementation of generative AI models and algorithms. You will work closely with senior developers to build, train, and fine-tune AI models using frameworks like TensorFlow, PyTorch, or similar tools. Integration of AI models into applications for optimal performance and scalability will also be a part of your duties. Furthermore, you will participate in data preprocessing, feature engineering, and model evaluation processes. Your role will also involve supporting the deployment and monitoring of AI solutions in production environments. Code reviews, debugging, and optimization of AI models will be essential tasks to ensure effective functionality. To excel in this role, you should possess 1 to 2.6 years of experience in AI/ML development, particularly focusing on generative AI. A solid understanding of machine learning concepts, neural networks, and deep learning frameworks is required. Proficiency in programming languages such as Python, along with exposure to libraries like TensorFlow, PyTorch, or Keras, will be beneficial. Experience with data manipulation tools like Pandas, NumPy, and SQL is also necessary. Familiarity with version control systems such as Git is preferred. Strong problem-solving skills, a keen willingness to learn and adapt, good communication abilities, and the capacity to work collaboratively within a team environment are essential for success in this role. This position is based in Indore, Madhya Pradesh, and is an on-site work opportunity. The role may require you to work across various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you meet the required qualifications and are excited about contributing to cutting-edge AI projects, we encourage you to apply from the specified locations. Join us in shaping the future of Artificial Intelligence and machine learning technologies. Apply Now,

As a member of Cisco's Distributed Systems Engineering (DSE) team, you will be contributing to the foundational software that drives the world's largest and most dynamic data centers. The PI-Common team, which forms the core of this initiative, is responsible for developing routing protocols and infrastructure essential for the functioning of data centers in the era of exploding AI/ML workloads and cloud-scale infrastructure. Cisco is at the forefront of this industry transformation. The NX-OS operating system, deployed on Cisco Nexus switches, provides the necessary performance, programmability, and reliability required for modern data center networks. At DSE, we blend open-source innovation, deep systems engineering, and hardware-software co-design to create globally scalable platforms that evolve rapidly. Your role will involve working alongside a high-performing team to drive innovation within Cisco's data center portfolio, encompassing Nexus 9000 series switches, NX-OS, and technologies like Routing Protocols, Routing Infra, Virtualization, VXLAN EVPN, segment routing, and telemetry. You will collaborate closely with senior engineers, architects, and open-source communities to shape product direction and technical strategy. Minimum Qualifications: - B.E./ BTech in Computer Science, ECE, or related field - 4-8 years of software development testing experience - Proficiency in Python Scripting - Understanding of routing protocols such as OSPF, ISIS, MCAST, EIGRP, Segment Routing - Grasp of networking fundamentals (TCP/IP, multicast, switching, forwarding) - Experience with NX-OS or similar network operating systems - Familiarity with YANG, SNMP, or model-driven telemetry - Strong problem-solving and debugging skills - Excellent communication and teamwork abilities Preferred Qualifications: - Exposure to data center protocols like Routing, VXLAN, EVPN, or segment routing - Familiarity with open-source tools, network automation, or configuration frameworks - Prior experience in building infrastructure at scale - Hands-on experience with Cisco PYATS - Basic knowledge of AI/ML and exposure to AI tools for network automation Join Cisco in revolutionizing data and infrastructure connections to safeguard organizations in the AI era and beyond. With a legacy of 40 years of innovation, we create solutions that facilitate collaboration between humans and technology across physical and digital realms, offering unparalleled security, visibility, and insights on the digital landscape. Cisco empowers the future through technology depth and breadth, experimentation, and the collaborative efforts of our global network of experts. Our impact is ubiquitous, and opportunities for growth and innovation are boundless through empathetic teamwork on a global scale. Cisco's power begins with you.,

You are looking for a DevOps Technical Lead who will play a crucial role in leading the development of an Infrastructure Agent powered by Generative AI (GenAI) technology. In this role, you will be responsible for designing and implementing an intelligent Infra Agent that can handle provisioning, configuration, observability, and self-healing autonomously. Your key responsibilities will include leading the architecture and design of the Infra Agent, integrating various automation frameworks to enhance DevOps workflows, automating infrastructure provisioning and incident remediation, developing reusable components and frameworks using Infrastructure as Code (IaC) tools, and collaborating with AI/ML engineers and SREs to create intelligent infrastructure decision-making logic. You will also be expected to implement secure and scalable infrastructure on cloud platforms such as AWS, Azure, and GCP, continuously improve agent performance through feedback loops, telemetry, and model fine-tuning, drive DevSecOps best practices, compliance, and observability, as well as mentor DevOps engineers and work closely with cross-functional teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 8 years of experience in DevOps, SRE, or Infrastructure Engineering. You must have proven experience in leading infrastructure automation projects, expertise with cloud platforms like AWS, Azure, GCP, and deep knowledge of tools such as Terraform, Kubernetes, Helm, Docker, Jenkins, and GitOps. Hands-on experience with LLMs/GenAI APIs, familiarity with automation frameworks, and proficiency in programming/scripting languages like Python, Go, or Bash are also required. Preferred qualifications for this role include experience in building or fine-tuning LLM-based agents, contributions to open-source GenAI or DevOps projects, understanding of MLOps pipelines and AI infrastructure, and certifications in DevOps, cloud, or AI technologies.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

At Peak Medical, our mission is to make rehabilitation smarter, more accessible, and deeply human. We are building BIBO, a clinically validated, AI-powered platform that helps people recover from surgery and manage pain safely at home, mirroring the care of a physiotherapist. It is the first product to go through a high regulatory class to be able to instruct patients at home, with live, clinical advice. This is a significant advancement in Healthcare access. We are a small, smart, agile team located across Australia and India, dedicated to building the next generation of digital musculoskeletal care. Our focus is on providing real-time insights and motion analysis that lead to recovery, reducing the reliance on clinic visits. Our pilot partners and end customers span across Australia and India. We are currently seeking a Senior Computer Vision Engineer with a minimum commitment of 4 years to join our team. As a key member, you will be responsible for leading the development and refinement of our AI motion tracking pipeline, with specific expertise in pose estimation and mobile deployment. This role offers the opportunity to work closely with our product and clinical teams and be part of a passionate and focused team. Key Responsibilities: - Architect and develop real-time pose estimation solutions using tools like MediaPipe and BlazePose. - Build, test, and refine computer vision models integrated into mobile workflows. - Work across platforms such as Flutter, MediaPipe, TFLite, and Python-based toolkits. - Optimize models for low-latency inference on mobile devices. - Lead and implement product architecture. - Conduct research and development on motion accuracy, error handling, and safety thresholds. - Collaborate with cross-functional teams across different time zones (Australia/India). - Contribute to product strategy and user-centric design for at-home care. - Perform model optimization (quantization, pruning) for real-time performance on mobile. Requirements: - 6+ years of experience in AI/ML with a focus on Computer Vision. - Experience in Healthcare, Fitness, Physiotherapy, Medical, or Movement Industries. - Proven ability to build, deploy, and iterate CV models in production environments. - Expertise in MediaPipe, TFLite, EDGE computing, real-time model inference, and pose estimation models. - A builders mindset with a passion for leading CV development in a mission-driven startup. - Experience working with mobile-first health tech or real-time movement data is a plus. - Proficiency in Flutter/Dart, Kotlin, Swift, TensorFlow, and Python. - Comfortable working both independently and collaboratively in a small team. - Experience fine-tuning pre-trained models and deploying them in production apps. - Ability to devise a data set training strategy to enhance model performance. - Experience with AI-powered data analytics and visualization. This position offers great remuneration and ESOP. Join us on this journey where your vision can drive the movement that disrupts Healthcare. Apply now to be part of our team at Peak Medical.,

You are a highly experienced Principal Solution Architect responsible for leading the design, development, and implementation of sophisticated cloud-based data solutions for key clients. With deep technical expertise in multiple cloud platforms such as AWS, Azure, and GCP, as well as modern data technologies, your role is pivotal in shaping data strategies, driving innovation through GenAI and LLMs, and ensuring successful delivery of complex data projects across various industries. Your key responsibilities include leading the architecture and design of robust, scalable, and secure enterprise-grade data solutions like data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Additionally, you will collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Supporting pre-sales activities, including proposal development and solution demonstrations, is also a crucial aspect of your role. Furthermore, you are expected to drive data and analytics modernization initiatives by leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Applying data architecture best practices across various industries such as BFSI, Retail, Supply Chain, and Manufacturing is also a key part of your responsibilities. To qualify for this position, you should have at least 10 years of experience in IT, focusing on data architecture, solution architecture, and data engineering, with proven experience in a principal-level or lead architect role. Deep, hands-on experience with major cloud platforms like Azure (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview) and GCP (Big Query, Vertex.AI, Gemini) is essential. Additionally, you should have expertise in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions, strong leadership and communication skills, exceptional problem-solving abilities, and a Bachelor's or Master's degree in computer science, engineering, information technology, or a related field. Preferred qualifications include relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks, as well as experience with Agentic AI and hyper-intelligent automation.,

As an experienced Primary Market Research (PMR) leader, your role will involve leading high-impact global research engagements, mentoring teams, and partnering with Data Science & AI experts to modernize insights generation using traditional qualitative and quantitative research methods alongside AI/ML and Generative AI applications. You will be responsible for executing end-to-end PMR projects across therapy areas and geographies, utilizing both traditional methodologies and AI-enhanced techniques to improve study design, analysis, and storytelling. Your key responsibilities will include applying Generative AI tools to accelerate insight synthesis and automate reporting, guiding the integration of machine learning models for survey optimization, and collaborating closely with clients and internal stakeholders to deliver insights aligned with business strategy. Additionally, you will manage and mentor a team of market researchers, maintain strong vendor relationships, and demonstrate storytelling excellence through data-driven narratives that influence strategic decision-making. To excel in this role, you should have at least 15 years of experience in healthcare/life sciences primary market research, with a proven ability to lead multi-country, multi-method projects. Strong knowledge of qualitative and quantitative methodologies is essential, and exposure to tools such as Qualtrics, SPSS, R, or Python is advantageous. Hands-on experience with AI/GenAI platforms for text summarization, sentiment analysis, and automated reporting is desired, along with a passion for exploring emerging technologies in research workflows. Preferred qualifications include a Master's degree in Life Sciences, Market Research, Business Analytics, or related fields, as well as certification or exposure to AI/ML in market research or marketing analytics. Familiarity with healthcare compliance, pharma regulations, and therapy-specific dynamics will be beneficial for this role. Excellent interpersonal, presentation, and client engagement skills, strong project management abilities, and the capacity to thrive in a fast-paced, deadline-driven environment are also key attributes for success in this position.,

As an experienced professional with 3-5 years of relevant expertise, you will be responsible for analyzing artificial intelligence and machine learning technologies and applications. You are expected to stay updated on the latest advancements in AI/ML from both industrial and academic perspectives. Your role involves identifying client challenges and areas for enhancement, as well as developing potential AI/ML solutions. Designing competitive AI/ML services and enhancing user experiences for next-generation devices will be a key aspect of your responsibilities. Your tasks will include creating prototypes for demonstration purposes, gathering and synthesizing requirements, and proposing effective product/feature roadmaps. Collaboration with team members to integrate innovative ideas into potential IT solutions is crucial. Additionally, you should possess the ability to develop business cases and value propositions for clients by leveraging automation and AI/ML/statistics. A strong technical background in AI/ML platforms and proficiency in statistical tools such as R, Python, and Saas are essential requirements. Familiarity with at least one technology platform in the AI/ML domain is expected. Your expertise will contribute to the successful implementation of AI/ML projects and the delivery of impactful solutions to clients.,

The Enterprise Switching organization delivers top-tier products, with the Catalyst Cat9000 series leading in core, aggregation, and access switching for security, IoT, and Cloud. These switches are essential for SD-Access, Cisco's intent-based networking architecture, offering the bandwidth, speed, and scale needed for hybrid work environments. They enhance security with PoE power and AI/ML for zero-trust security and provide superior network experiences both on-premises and in the cloud through Cisco DNA Center or the Meraki Dashboard. The new Catalyst 9000X models offer flexible operations and secure, high-speed performance. Our team is renowned for creating industry-leading products that have dominated the enterprise market for decades through innovation. Cisco provides you an excellent opportunity to take your career aspirations forward. You will bring your unique talents to the group that works on Cisco's Switching technology, which large enterprises now consider to be the Networking Equipment of choice for mission-critical networks. In your role as Lead Software Engineer, you will develop and integrate products that are deployed by some of the leading Enterprises in the world. You will work on networking equipment that forms a crucial backbone of many offices, hospitals, educational and financial institutions. You will work with a BU-wide vibrant technical community, exchanging ideas and innovating on next-gen technology, all the while exploring opportunities for personal growth. Experience the exhilaration of mentoring colleagues and working on cutting-edge technologies. Minimum Qualifications: - Experience in understanding software system specifications and developing sophisticated test plans - Strong programming knowledge (Python/C/C++), git, AI/ML to develop modular and scalable automation to meet functional/solution requirement - CI/CD, Jenkins, Test driven development, Test as a service approach with flexible and modular automation. Experience in configuration/fixing Protocols: ISIS/OSPF, BGP, L2/L3 VPN, EVPN, SegmentRouting, IPv6, MPLS-LDP/RSVP-TE, Multicast, SNMP, Telemetry, gNMI, gRPC, Netconf & OpenConfig Yang Models - 4-8 years of relevant experience as a software test engineering in computer networking Preferred Qualifications: - Bachelor's degree in computer science or related field (MS preferred). Cisco celebrates diversity and inclusion, bringing together individuals with unique skills and perspectives to pursue the purpose of powering an inclusive future for all. Learning and development are encouraged at every stage of one's career at Cisco, where employees can experience multiple careers within the company. Cisco's technology, tools, and culture have pioneered hybrid work trends, allowing individuals to give their best and be their best. Cisconians collaborate in various employee resource organizations to connect, foster belonging, and make a difference. Paid time off to volunteer is dedicated to giving back to causes individuals are passionate about. Cisco's purpose, driven by its people, is to create solutions that power the internet and contribute to a more inclusive future for all. Join Cisco to revolutionize how data and infrastructure connect and protect organizations in the AI era and beyond. Cisco empowers individuals to collaborate, innovate, and make a global impact through meaningful solutions. Cisco's power starts with you.,

Role & responsibilities AI/ML Python developers with Devops 2-3 Deployment(Mandatory). Machine Learning Model Experience. Either AWS Services( Bedrock, sagemaker, EKS, Lambda) / Azure Services is Mandatory Candidates need to work on Gen AI Projects

Job Overview: We are seeking a detail-oriented and experienced Quality Assurance (QA) Engineer to join our team. You will be responsible for ensuring the performance, accuracy, and reliability of our AI conversational systems, including natural language processing (NLP), speech-to-text (STT), text-to-speech (TTS), and AI dialogue management. The ideal candidate should have strong analytical skills, a deep understanding of AI testing methodologies, and experience working with AI-driven conversational interfaces. Key Responsibilities: D evelop, and execute comprehensive test plans and test cases for AI conversational systems, ensuring all functional and non-functional requirements are met. Conduct end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. Perform manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. Validate the system’s ability to understand and process various user intents, entities, and languages. Test integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. Ensure the quality and accuracy of voice output (TTS) and conduct thorough testing of speech quality across different platforms and devices. Identify and document bugs, performance issues, and user experience problems, and work closely with developers and AI engineers to resolve them. Monitor system performance and behavior under different conditions, including large-scale interactions and stress testing. Conduct regression testing after each update to ensure previous features remain functional and efficient. Collaborate with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Required Skills and Qualifications: Bachelor’s degree in Computer Science , Engineering, or a related field. Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. Proficient in test automation tools and frameworks for both functional and non-functional testing (e.g., Selenium, JUnit, etc.). Strong understanding of API testing and experience using API testing tools like Postman. Excellent problem-solving skills with a focus on quality and attention to detail. Experience in agile software development methodologies. Strong communication skills and the ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Experience working with conversational AI platforms Familiarity with testing frameworks for AI models Knowledge of multilingual and multi-accent conversational testing. Understanding of user experience (UX) testing for voice interfaces. Experience in performance and load testing for AI systems.

Role & responsibilities AI/ML Python developers with Devops 2-3 Deployment(Mandatory). Machine Learning Model Experience. Either AWS Services( Bedrock, sagemaker, EKS, Lambda) / Azure Services is Mandatory Candidates need to work on Gen AI Projects

Role & responsibilities AI/ML Python developers with Devops 2-3 Deployment(Mandatory). Machine Learning Model Experience. Either AWS Services( Bedrock, sagemaker, EKS, Lambda) / Azure Services is Mandatory Candidates need to work on Gen AI Projects 5yrs - 8yrs - 17.5 LPA 8yrs + - 21 LPA Bangalore & Mumbai

Role & responsibilities AI/ML Python developers with Devops 2-3 Deployment(Mandatory). Machine Learning Model Experience. Either AWS Services( Bedrock, sagemaker, EKS, Lambda) / Azure Services is Mandatory Candidates need to work on Gen AI Projects 5yrs - 8yrs - 17.5 LPA 8yrs + - 21 LPA Bangalore & Mumbai

As an AI/ML Engineer at SolGuruz, you will play a crucial role in harnessing the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform software with advanced AI/ML capabilities. Your efforts will directly impact the user experience, pushing the boundaries and setting new benchmarks in AI-driven products. Your responsibilities will involve designing and implementing cutting-edge AI/ML models and solutions. You will delve deep into generative AI models and techniques, spanning Text-to-Speech, Speech to Text, Speech to Speech, Text to Image, and Image to Text. Evaluating AI models across diverse applications like content creation, design automation, Cloud Vision AI, and Natural Language AI will be part of your core tasks. Writing and maintaining high-quality Python code that is not only efficient and scalable but also well-documented will be essential. Collaboration with fellow engineers, researchers, and product managers to define requirements, brainstorm solutions, and refine designs will be a key aspect of your role. Additionally, contributing to the development of internal tools and infrastructure for AI/ML research and development will be expected. To excel in this role, you should stay updated on the latest advancements in AI/ML research and development. Having an understanding of AI Chatbots, document search, MLOps, supervised learning, unsupervised learning, Video analytics, Image analytics, NLP, exploratory data analysis, descriptive analytics, prescriptive analytics, and predictive analytics is crucial. What We Are Looking For: - Proficiency in Large Language Models such as Open AI, Stable Diffusion, and Generative AI models/services offered by AWS, Azure, and Google. - Hands-on experience with popular machine learning libraries like TensorFlow, PyTorch, etc. - Practical knowledge of AI/ML development using Python and advanced scripting in Python. - Expertise in databases, especially vector databases, along with strong experience in one of the cloud platforms. - Experience in implementing MLOps practices for machine learning models using Azure ML/AWS Sagemaker. Why SolGuruz - Embrace a culture that fosters innovation and forward-thinking. - Opportunities for professional growth and career advancement. - No bond, no contract. - Work 5 days a week with flexible timings to support work-life balance. - No bossism culture - thrive through collaboration. - Benefit from a high-config laptop to boost productivity. - Engage in various activities to enhance team spirit. Skills: text-to-speech, image to text, TensorFlow, AI/ML, PyTorch, vector databases, Large Language Models, Python, Azure, AWS, speech to text, cloud platforms, MLOps, NLP, text to image, speech to speech, generative AI.,