1197 Aiml Jobs - Page 26

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions. How do they use it? Media outlets add a little magic to their coverage with our stats and graphics packages. Sportsbooks can offer better predictions and more accurate odds. The world's top coaches are known to use our data to make critical team decisions. Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology. Responsibilities: We are on the hunt for a Senior QA Engineer who doesnt just test but builds testing systems that push the boundaries of automation, innovation, and intelligence. If you have over 6 years of experience , a strong foundation in Python-based automation , and a keen interest in applying AI/ML to quality assurance , then you might just be our next game-changer. In this role, youll lead cutting-edge proof-of-concept projects , shape the next-gen QA automation strategy , and work alongside a diverse, cross-functional team. We love thinkers, tinkerers, and those who never stop asking: “What else can we do better?” What will you do- Automate Everything : Design, develop, and scale Python-based automation frameworks (web, API, data validation). Innovate with AI : Lead experiments using AI/ML (self-healing tests, test summarization, bug prediction) and integrate successful models into the QA ecosystem. Drive Quality : Own the quality bar across projects by applying functional, integration, system, regression, and exploratory testing practices. Collaborate Broadly : Engage with product, data science, DevOps, and engineering teams globally to create high-quality, reliable releases. Modernize QA : Introduce and advocate for open-source tools, GenAI copilots, and prompt-based automation across test suites. Desired Qualifications: 6+ years in QA with a focus on automation, Python as primary language. Comfortable with tools like GitHub Copilot, Cursor, or other productivity copilots . Experience building scalable automation frameworks from scratch (Playwright, Selenium, Pytest). Strong understanding of QA fundamentals—test design, defect lifecycle, requirements analysis. Hands-on experience in AI/ML with a mindset to explore more. Experience in API testing (REST Assured, Postman) and SQL-based data validations. CI/CD tools exposure (Jenkins, GitHub Actions, GitLab CI). Knowledge of Docker/Kubernetes and cloud platforms (AWS/GCP) is a plus. Nice-to-Haves Exposure to AI-based test generation or test maintenance tools Familiarity with performance, security, or visual regression testing. Experience with BDD (pytest-bdd, Behave) and exploratory testing techniques. Contribution to open-source QA tools or innovation platforms. Why Join our team Innovation Playground : Lead AI/ML PoCs that redefine how testing works. Global Collaboration : Work with passionate teams across continents—share ideas, exchange knowledge, grow together. Freedom to Experiment : Bring your wildest ideas to life—we encourage exploration! Clear Impact : Your work directly shapes product quality, stability, and innovation velocity. Culture of Growth : Flexible working, modern stack, continuous learning support, and a team that celebrates curious minds. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do. Link to apply - https://eobe.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/815/?keyword=Software+Engineer+III&mode=location

About Company: Agilysys Technologies is a leading provider of innovative technology solutions, committed to transforming the way businesses operate through our state-of-the-art software and services. Our focus on customer satisfaction, coupled with a drive for excellence, positions us at the forefront of technological advancements in the industry. Job Summary: We are seeking a talented and motivated AI Developer to join our dynamic team. In this role, you will leverage advanced AI technologies, including Azure Open AI, Copilot Studio, Power Automate, Azure ML, and Cognitive Services, to develop and implement intelligent solutions that enhance business processes and drive operational efficiency. If you are passionate about artificial intelligence and have the required skill set, we invite you to apply and help us shape the future of technology at Agilysys Technologies. Key Responsibilities: Design, develop, and implement AI solutions using Azure Open AI and other relevant tools to meet business requirements. Collaborate with cross-functional teams to identify opportunities for leveraging AI and automation to improve existing processes. Utilize Copilot Studio and Power Automate to develop automated workflows that enhance productivity and efficiency. Employ Azure ML to build, train, and deploy machine learning models that solve complex business problems. Integrate and utilize Cognitive Services to enhance applications with capabilities such as natural language processing, image recognition, and predictive analytics. Conduct testing and validation of AI models and applications to ensure accuracy and performance. Monitor and analyze system performance, making necessary adjustments to optimize solutions and address any issues. Stay up-to-date with the latest advancements in AI technologies and propose innovative solutions to enhance our offerings. Required Skills : 8+ years in software engineering, including 3+ years in AI/ML and bot development. Experience delivering enterprise-grade chatbot/AI platforms integrated with backend services. Strong system design and architecture skills, especially for distributed and event-driven systems. Excellent communication, leadership, and stakeholder management abilities. Python, LLMs ( Azure OpenAI, Anthropic), PyTorch, Hugging Face Prompt Engineering, Vector Search, Retrieval-Augmented Generation Microsoft Bot Framework/LangChain / Rasa OAuth2, Middleware, Webhooks, Channel Integrations (Teams, WhatsApp, Web, IVR) Node.js, Java Spring Boot, .NET Core Azure/AWS, Docker, Kubernetes

Requirement -Sr. Python dev, at least 5 years of experience, ideal to have AI/ML & LLM background Must have -Python dev experience for services and applications They will be working in Gen AI team, so Python is must, AI background is optional

Role & responsibilities Lead the architecture, development, deployment and implementation of AI systems incorporating generative models and agentic AI workflows, utilizing at least one cloud platform (Azure or GCP). Build and optimize GenAI applications, including chatbots, copilots and AI agents using Python. Collaborate with product teams to integrate AI solutions into platforms and customer-facing applications. Evaluate and select models (e.g. OpenAI, Gemini, LLaMA etc.) and orchestration tools (e.g., LangChain, AutoGen) best suited to solution needs. Demonstrate proficiency in vector databases (e.g., FAISS, Pinecone etc.) and the design of RAG (Retrieval-Augmented Generation) pipelines. Stay abreast of advancements in GenAI, multi-agent systems, vector search technologies and large-scale retrieval-augmented architectures. Define and uphold best practices for AI governance, cost optimization and robust performance monitoring. Conduct ongoing performance tuning, debugging and root-cause analysis to ensure reliability of AI models and applications. Design and maintain comprehensive monitoring and logging systems for AI-powered solutions. Collaborate with cross-functional teams including data scientists, ML engineers and software developers to seamlessly integrate AI across the product landscape. Document technical specifications, system workflows and development best practices. Preferred candidate profile Extensive experience in AI implementation incorporating generative models and agentic AI workflows. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is preferred.

About the Role: We are looking for a dynamic and skilled Software Engineer with 34 years of experience in Python development , along with a foundational understanding of Artificial Intelligence (AI) concepts and Microsoft Azure cloud services. The ideal candidate is passionate about building high-quality software, eager to learn, and ready to contribute to innovative AI-powered solutions. Key Responsibilities: Design, develop, and maintain scalable backend applications using Python. Collaborate with data scientists and ML engineers to integrate AI models into production environments. Work on REST APIs, data pipelines, and cloud-enabled applications. Assist in deploying Python-based applications and models on Azure services. Participate in the full software development lifecycle – design, development, testing, deployment, and support. Write clean, efficient, and well-documented code with proper version control practices. Troubleshoot issues and perform code reviews to ensure best practices. Required Skills & Experience: Core Skills: 3–4 years of hands-on experience in Python development. Strong understanding of software engineering principles , OOPs, and data structures. Exposure to AI/ML workflows (model training, evaluation, or integration). Experience building or consuming RESTful APIs (using Flask, FastAPI, or Django). Good understanding of Microsoft Azure fundamentals and services like: Azure AI Foundry Azure App Services Azure Functions Azure Storage Familiarity with relational databases and basic SQL (e.g., PostgreSQL, SQL Server). Bonus / Nice to Have: Azure Certification (e.g., AZ-900 or AI-900 ) Familiarity with containerization tools like Docker Exposure to CI/CD using Azure DevOps Experience working with Git and Agile teams Understanding of MLOps or model deployment practices

Job Title: Accelerated Computing Engineer Entry Level Experience Level: 02 Years Location: Vellore Employment Type: Full-time About the Role We seek a driven Accelerated Computing Engineer to join our innovative team in Vellore. This entry-level role offers a unique opportunity to work with advanced AI/ML models, accelerated computing technologies, and cloud infrastructure while collaborating on cutting-edge research and deployment projects. You will work with a variety of state-of-the-art models such as BGE-Large, Mixtral, Gemma, LLaMA, and Stable Diffusion, as well as other fine-tuned architectures, to solve real-world computing challenges through advanced AI/ML infrastructure solutions. Key Responsibilities Customer Interaction & Analysis: Work closely with customers to analyze technical and business needs, translating them into robust, AI-driven solutions. Model Deployment & Optimization: Develop and deploy advanced AI/ML models such as LLaMA, Mixtral, Gemma, and other GenAI models while optimizing their performance for varied computing environments. Performance Testing & System Benchmarking: Execute advanced test scenarios and performance benchmarks across AI/ML models and distributed systems to ensure optimal performance. Infrastructure & Model Research: Research, configure, and maintain infrastructure solutions (using tools like TensorRT and PyTorch) supporting our models and accelerated computing workloads. AI/ML Model Integration: Support and deploy models such as Stable Diffusion, BGE, Mistral, and custom fine-tuned models into end-to-end pipelines for AI/ML-driven solutions. Automation & Process Improvements: Drive automation strategies to streamline workflows, improve testing accuracy, and optimize system performance. Technical Liaison: Served as the technical bridge by collaborating with product development teams, tracking customer feedback, and ensuring timely resolutions. Model Configuration & Troubleshooting: Create custom scripts, troubleshoot advanced configurations, and support tuning efforts for AI/ML model customization. Skills & Qualifications Required Skills: Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline. Strong foundational knowledge of AI/ML model deployment and cloud infrastructure. Proficiency with AI/ML frameworks & libraries, including PyTorch, TensorRT, and Triton. Hands-on experience with deployment models such as LLaMA, Mixtral, Gemma, and Stable Diffusion. Familiarity with distributed computing environments and orchestration tools like Kubernetes. Proficiency in workflow automation, performance tuning, and large-scale system debugging. Understanding of cloud computing technologies and infrastructure architecture, including storage, networking, and computing paradigms. Preferred Skills: Experience working with object storage technologies like AWS S3, Azure Blob Storage, and MinIO. Familiarity with advanced AI/ML model frameworks such as Gemma-2b, Mixtral-8x7b, Mistral-7b-instruct, and other fine-tuned AI models. Expertise in GPU configuration and tuning for AI/ML workloads, including drivers and machine learning optimization strategies. Familiarity with serverless computing and Function as a Service (FaaS) concepts. Experience with infrastructure as code (IaC) and performance benchmarking methodologies.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors. Roles & ResponsibilitiesDesign and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. Fine-tune and deploy large language models (LLMs) for task-specific applications Integrate tools, APIs, and external systems into agent workflows for enhanced functionality Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines Develop robust backend systems for real-time agent inference and data processing Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency Collaborate with cross-functional teams to translate business needs into AI capabilitiesRequired Skills and Qualifications:Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines Experience in using LangChain, AutoGen, or similar agentic frameworks Exposure to Docker, REST APIs, and cloud platforms (AWS) Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We're hiring a skilled Full Stack .NET Developer to build scalable web apps using .NET Core and modern JavaScript frameworks. You'll lead end-to-end feature development, performance tuning, and ensure system reliability across the stack.

Role & responsibilities Develop and maintain robust backend systems using Python (Django, Flask, or FastAPI). Design and implement interactive front-end interfaces using React.js, Angular. Collaborate with product managers, designers, and other developers to define requirements and build scalable applications. Write clean, maintainable, and efficient code following best practices. Integrate third-party APIs and work with RESTful and GraphQL services. Develop and maintain database schemas and ensure performance optimization (PostgreSQL/MySQL/MongoDB). Set up CI/CD pipelines and support DevOps processes. Mentor junior developers and perform code reviews. Required Skills: 5+ years of experience as a Full Stack Developer. Strong expertise in Python (Django, Flask, or FastAPI). Proficiency in front-end frameworks like React.js, Angular, . Good understanding of HTML5, CSS3, JavaScript (ES6+), TypeScript. Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Experience with Docker, Git, and cloud platforms (AWS/GCP/Azure). Solid understanding of RESTful APIs, GraphQL, and WebSockets. . Preferred candidate profile Experience with microservices architecture and event-driven systems. Familiarity with serverless architecture. Exposure to Agile/Scrum development methodologies. Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Strong problem-solving and communication skills

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are hiring an AI/ML Engineer with deep knowledge of Small Language Models (SLMs) to develop lightweight, efficient models optimized for real-time applications, including edge deployment and low-latency scenarios. Roles & ResponsibilitiesDesigning the architecture of Small Language Models (SLMs), selecting suitable model types (e.g., transformer-based), and define training datasets and evaluation benchmarks. Collecting, cleaning, and preprocessing data to ensure high-quality, task-relevant inputs for model training. Training and fine-tuning SLMs using optimized procedures to enhance task performance while adhering to resource constraints. Deploying SLMs into production systems, ensuring seamless integration and reliable real-time operation within target applications. Continuously monitor model performance, identifying optimization opportunities, and implementing updates to maintain accuracy and efficiency. Ensuring all stages of model development comply with data privacy, fairness, and security guidelines. Staying abreast of advancements in SLM research and tooling, experimenting with emerging techniques, and contributing to innovation in the domain. Professional & Technical Skills: Strong background in NLP, deep learning, and model compression Proficient in PyTorch, TensorFlow, Hugging Face Transformers Solid understanding of neural network architectures, including transformers and other relevant models, and experience with training and optimization techniques. Familiarity with CI/CD workflows and cloud platforms (AWS, Azure) Detail-oriented with a strong focus on performance optimization Handle client communication, including articulating the solution to non-technical clients. Team player with good collaboration and communication skills Additional Information:- The candidate should have minimum 7.5 years of experience in AI/ML, with at least 1-2 years working on LLM/SLM development closely- Bachelors or Masters in Computer Science, Machine Learning, or related technical field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Overview We are seeking a highly skilled and experienced AI/ML, Generative AI Lead to join our prestigious insurance company. The successful candidate will lead a dynamic team of AI/ML professionals, driving the development and implementation of AI and machine learning solutions tailored for the insurance domain. This role is central to our strategy of enhancing operational efficiency, improving customer experience, and pioneering innovative insurance products. Key Responsibilities Leadership and Team Management: Lead, mentor, and manage a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance culture. Strategy Development: Develop and implement AI/ML strategies aligned with the company's business goals and objectives. AI/ML Solutions: Design, develop, and deploy AI and machine learning models to solve complex problems in underwriting, claims processing, fraud detection, customer service, and personalized marketing. Generative AI: Explore and implement generative AI techniques to create novel solutions for product development, risk assessment, and customer engagement. Data Management: Oversee the collection, preprocessing, and analysis of large datasets to ensure data quality and integrity. Stakeholder Collaboration: Work closely with cross-functional teams, including product managers, actuaries, and IT departments, to ensure successful integration and adoption of AI/ML solutions. Research and Innovation: Stay updated with the latest advancements in AI/ML and generative AI, and drive continuous innovation within the team. Compliance and Ethics: Ensure all AI/ML solutions comply with industry regulations and ethical standards. Performance Monitoring: Implement monitoring and evaluation frameworks to assess the impact and performance of AI/ML models. Innovation & POC Development Lead the development and execution of innovative analytics solutions and Proof-of-Concept (POC) projects. Collaborate with cross-functional teams to identify impactful use cases and prototype solutions. Business Alignment & Outcome Metrics Work with business stakeholders to establish success metrics and key performance indicators (KPIs) for analytics initiatives. Ensure analytics solutions align with strategic business objectives and regulatory requirements. POC Adoption & Change Management Promote the transition of successful POCs into production environments. Develop and implement change management strategies to secure stakeholder support and ongoing usage. Technical Leadership & Team Oversight Provide technical guidance and mentorship to data scientists and analysts. Review and approve analytical models, code, and methodologies to ensure their robustness and scalability. Strategic Research & Future Tech Exploration Stay informed about emerging technologies in AI/ML, GenAI, and other relevant future tech for the insurance industry. Conduct strategic research and feasibility studies to evaluate potential applications and business impact. Qualifications Education: Masters in Computer Science, Data Science, Machine Learning, or a related field. Experience: Minimum of 5 years of experience in AI/ML, with at least 3 years in a leadership role. Technical Skills: Proficiency in programming languages such as Python, R, and Java; experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Cloud Tech : Azure, GCP ,AWS . Preferable is Azure Domain Knowledge: Expertise in the insurance domain, with a strong understanding of industry-specific challenges and opportunities. Analytical Skills: Strong problem-solving skills with the ability to analyze complex data and generate actionable insights. Communication Skills: Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Project Management: Demonstrated experience in managing large-scale AI/ML projects from conception to deployment. Innovation: Proven track record of driving innovation and staying abreast of emerging technologies in AI/ML and generative AI.

About the Role Were seeking a motivated and detail-oriented Security Operations Analyst to join our Security Operations Center (SOC). In this role, youll monitor, investigate, and respond to real-time security alerts across our infrastructure. You'll play a key part in strengthening our organizations security posture by identifying potential threats, supporting incident response efforts, and continuously improving detection and response capabilities. This role is ideal for individuals who are passionate about cybersecurity, eager to learn, and ready to tackle evolving security challenges in a fast-paced cloud environment. Your Responsibilities Monitor SIEM dashboards and alerting tools to detect suspicious activity. Triage security alerts and escalate genuine threats to the incident response team. Analyze logs from firewalls, servers, applications, and cloud platforms to identify anomalies. Investigate phishing reports, unauthorized access attempts, malware infections, and other security incidents. Maintain up-to-date documentation of security processes and incident reports. Assist in vulnerability scanning, patch tracking, and compliance-related activities. Stay informed about emerging threats, vulnerabilities, and attack vectors. Technical Skills Nice to Have (Not All Required) We value potential and a willingness to grow. While prior cybersecurity experience is a plus, we welcome applicants with a strong interest in security and a basic foundation in IT or networking concepts. Security Concepts: Threat detection, incident response, vulnerability management Operating Systems: Linux and Windows security basics Networking: TCP/IP, firewalls, VPNs, proxies, DNS Tools: SIEM (like Wazuh, Splunk), Suricata, Snort, Wireshark, Nessus Scripting & Automation: Bash, Python (for basic automation) Cloud Security: Awareness of security concerns in public cloud environments Certifications (Preferred but not mandatory): CompTIA Security+, CEH, OSCP, or equivalent You Should Be Someone Who: Has keen attention to detail and problem-solving ability Communicates clearly and handles confidential data responsibly Is eager to explore and learn cybersecurity tools and methodologies Takes initiative and works well both independently and in a team Thrives in high-pressure situations and can think clearly during incidents What Youll Gain Hands-on experience with real-world security monitoring and incident response Exposure to cybersecurity tools used in cloud and enterprise environments Practical understanding of Linux/Windows hardening, network security, and log analysis Opportunity to grow into advanced roles in cyber defense, threat hunting, or ethical hacking Apply Now Send your resume to tech-role@e2enetworks.com with the subject line: Security Operations Analyst – Kanchipuram”

About the Role Were seeking a motivated and detail-oriented Security Operations Analyst to join our Security Operations Center (SOC). In this role, youll monitor, investigate, and respond to real-time security alerts across our infrastructure. You'll play a key part in strengthening our organizations security posture by identifying potential threats, supporting incident response efforts, and continuously improving detection and response capabilities. This role is ideal for individuals who are passionate about cybersecurity, eager to learn, and ready to tackle evolving security challenges in a fast-paced cloud environment. Your Responsibilities Monitor SIEM dashboards and alerting tools to detect suspicious activity. Triage security alerts and escalate genuine threats to the incident response team. Analyze logs from firewalls, servers, applications, and cloud platforms to identify anomalies. Investigate phishing reports, unauthorized access attempts, malware infections, and other security incidents. Maintain up-to-date documentation of security processes and incident reports. Assist in vulnerability scanning, patch tracking, and compliance-related activities. Stay informed about emerging threats, vulnerabilities, and attack vectors. Technical Skills Nice to Have (Not All Required) We value potential and a willingness to grow. While prior cybersecurity experience is a plus, we welcome applicants with a strong interest in security and a basic foundation in IT or networking concepts. Security Concepts: Threat detection, incident response, vulnerability management Operating Systems: Linux and Windows security basics Networking: TCP/IP, firewalls, VPNs, proxies, DNS Tools: SIEM (like Wazuh, Splunk), Suricata, Snort, Wireshark, Nessus Scripting & Automation: Bash, Python (for basic automation) Cloud Security: Awareness of security concerns in public cloud environments Certifications (Preferred but not mandatory): CompTIA Security+, CEH, OSCP, or equivalent You Should Be Someone Who: Has keen attention to detail and problem-solving ability Communicates clearly and handles confidential data responsibly Is eager to explore and learn cybersecurity tools and methodologies Takes initiative and works well both independently and in a team Thrives in high-pressure situations and can think clearly during incidents What Youll Gain Hands-on experience with real-world security monitoring and incident response Exposure to cybersecurity tools used in cloud and enterprise environments Practical understanding of Linux/Windows hardening, network security, and log analysis Opportunity to grow into advanced roles in cyber defense, threat hunting, or ethical hacking Apply Now Send your resume to tech-role@e2enetworks.com with the subject line: Security Operations Analyst – Kanchipuram”

Develop and maintain scalable web applications using Python and Django Design and implement RESTful APIs and backend services for web/mobile applications. Build and integrate AI/ML components, especially in image classification,Face/object detection

About The Company: ARA's client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees ( 200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees. The Role: We are looking for a skilled AI/ML Engineer to join our team and lead the design, development, and deployment of AI-powered applications and systems. You will work with state-of-the-art technologies, including generative AI, deep learning, and Large Language Models (LLMs), and play a key role in building scalable, production-ready solutions using cloud or on-premise platforms. Key Responsibilities: Serve as a Subject Matter Expert (SME) in AI/ML with a strong focus on Large Language Models. Lead and mentor a team of engineers; guide team decisions and performance. Drive design and implementation of scalable, production-grade AI systems. Collaborate with cross-functional teams to integrate AI capabilities into larger application ecosystems. Provide technical leadership across projects and teams. Evaluate and optimize existing AI systems for performance, accuracy, and reliability. Research and apply cutting-edge AI technologies, including GenAI, deep learning, neural networks, chatbots, and image processing. Skills Required: Must-Have Skills Expertise in Large Language Models (LLMs) and their application in real-world solutions. Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch. Proficiency in deploying AI applications using cloud platforms (AWS, Azure, Google Cloud). In-depth knowledge of Natural Language Processing (NLP) and related tools. Solid understanding of end-to-end AI/ML pipelines, including data processing, model training, evaluation, and deployment. Good to Have Experience with chatbots, image processing, and neural network architectures. Familiarity with containerization (Docker, Kubernetes) for scalable deployment. Qualifications & Experience: Minimum of 5 years of hands-on experience in AI/ML, with at least 3 years working specifically on LLMs or generative AI. Proven track record of building and deploying AI models in production environments. Bachelor's or Master's degree in Computer Science, Engineering, or a related field (15 years of full-time education is mandatory).

Dear Candidate, Greetings of the day!! I am Kantha, and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on LinkedIn https://www.linkedin.com/in/kantha-m-ashwin-186ba3244/ Or Email: kanthasanmugam.m@techmango.net Techmango Technology Services is a full-scale software development services company founded in 2014 with a strong focus on emerging technologies. It holds a primary objective of delivering strategic solutions towards the goal of its business partners in terms of technology. We are a full-scale leading Software and Mobile App Development Company. Techmango is driven by the mantra Clients Vision is our Mission. We have a tendency to stick on to the current statement. To be the technologically advanced & most loved organization providing prime quality and cost-efficient services with a long-term client relationship strategy. We are operational in the USA - Chicago, Atlanta, Dubai - UAE, in India - Bangalore, Chennai, Madurai, Trichy. Role : AIML Engineer Location : Madurai Experience : 5 to 10 Yrs Mandatory Skills : AIML, Python, SQL, ML Models, PyTorch, Pandas, Docker, AWS Language: Python DBs : SQL Core Libraries: Time Series & Forecasting: pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet SOTA ML : ML Models, Boosting & Ensemble models etc. Explainability : Shap / Lime Required skills: Deep Learning: PyTorch, PyTorch Forecasting, Data Processing: Pandas, NumPy, Polars (optional), PySpark Hyperparameter Tuning: Optuna, Amazon SageMaker Automatic Model Tuning Deployment & MLOps: Batch & Realtime with API endpoints, MLFlow Serving: TorchServe, Sagemaker endpoints / batch Containerization: Docker Orchestration & Pipelines: AWS Step Functions, AWS SageMaker Pipelines AWS Services: SageMaker (Training, Inference, Tuning) S3 (Data Storage) CloudWatch (Monitoring) Lambda (Trigger-based Inference) ECR, ECS or Fargate (Container Hosting) Please share me the below details Total Experience: Relevant Experience in AIML : Exp in Python: Exp in Deep Learning: Exp in SQL: Exp in AWS: Reason for the Job change: Current Company: Current Location: Preferred Location: CCTC: ECTC: Notice Period: Are you able to join us with in 15-20 Days Yes/No: If You're serving notice Pls mention the Last working date: Marital Status & Your Native Location: If You are Holding any offer, pls mention the CTC & Job Location: Available for Virtual Interview on Weekdays Yes/No: Are you open to work at Madurai Location:

Dear Candidate, Greetings of the day!! I am Kantha, and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on LinkedIn https://www.linkedin.com/in/kantha-m-ashwin-186ba3244/ Or Email: kanthasanmugam.m@techmango.net Techmango Technology Services is a full-scale software development services company founded in 2014 with a strong focus on emerging technologies. It holds a primary objective of delivering strategic solutions towards the goal of its business partners in terms of technology. We are a full-scale leading Software and Mobile App Development Company. Techmango is driven by the mantra Clients Vision is our Mission. We have a tendency to stick on to the current statement. To be the technologically advanced & most loved organization providing prime quality and cost-efficient services with a long-term client relationship strategy. We are operational in the USA - Chicago, Atlanta, Dubai - UAE, in India - Bangalore, Chennai, Madurai, Trichy. Role : AIML Engineer Location : Madurai Experience : 5 to 10 Yrs Mandatory Skills : AIML, Python, SQL, ML Models, PyTorch, Pandas, Docker, AWS Language: Python DBs : SQL Core Libraries: Time Series & Forecasting: pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet SOTA ML : ML Models, Boosting & Ensemble models etc. Explainability : Shap / Lime Required skills: Deep Learning: PyTorch, PyTorch Forecasting, Data Processing: Pandas, NumPy, Polars (optional), PySpark Hyperparameter Tuning: Optuna, Amazon SageMaker Automatic Model Tuning Deployment & MLOps: Batch & Realtime with API endpoints, MLFlow Serving: TorchServe, Sagemaker endpoints / batch Containerization: Docker Orchestration & Pipelines: AWS Step Functions, AWS SageMaker Pipelines AWS Services: SageMaker (Training, Inference, Tuning) S3 (Data Storage) CloudWatch (Monitoring) Lambda (Trigger-based Inference) ECR, ECS or Fargate (Container Hosting) Please share me the below details Total Experience: Relevant Experience in AIML : Exp in Python: Exp in Deep Learning: Exp in SQL: Exp in AWS: Reason for the Job change: Current Company: Current Location: Preferred Location: CCTC: ECTC: Notice Period: Are you able to join us with in 15-20 Days Yes/No: If You're serving notice Pls mention the Last working date: Marital Status & Your Native Location: If You are Holding any offer, pls mention the CTC & Job Location: Available for Virtual Interview on Weekdays Yes/No: Are you open to work at Madurai Location:

About Us We are a cutting-edge AI innovation company developing intelligent agents that transform the way businesses operate. Our mission is to push the boundaries of what's possible with large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration. We work with top-tier clients across industries to deliver agentic systems that solve real-world business problems with speed, scale, and intelligence. Role Overview Were looking for an AI Agent Engineer to design, build, and refine advanced autonomous agents that operate across complex environments. Youll work at the intersection of technical architecture, AI-driven solution consulting, and system designcollaborating closely with business leaders, developers, and product teams to create production-ready, intelligent systems. This is an ideal role for engineers who are passionate about the future of AI, thrive on experimentation, and want to shape the next generation of automation through LLMs and multi-agent workflows. Key Responsibilities Core Engineering Architect and implement end-to-end AI agents using LangGraph, AutoGen, CrewAI, and other multi-agent frameworks (e.g., MCP, A2A). Design, iterate, and optimize prompts to support reliable and accurate agent performance in business-critical use cases. Integrate leading LLMs (GPT-4, Claude, Gemini, open-source alternatives) into real-time workflows and internal systems. Implement RAG architectures using vector databases such as Qdrant, Chroma, or Weaviate to ground agent responses in relevant context. Connect agents to APIs, external tools, document stores, and operational platforms to support intelligent decision-making. Collaboration & Consulting Translate client and internal requirements into AI-first system designs and architecture. Consult with product managers, sales engineers, and data teams to align AI solutions with business priorities and feasibility. Support implementation through technical documentation, design reviews, and hands-on problem-solving. Innovation & Enablement Lead test-and-learn initiatives and proof-of-concepts to validate agent performance and business value. Stay current on rapid developments in the LLM and multi-agent ecosystem and drive adoption of new capabilities. Contribute to the internal AI platform with tools, patterns, and reusable components to accelerate development. Provide training and support to technical and non-technical stakeholders to drive adoption and governance. Qualifications Must-Have: 3+ years of experience in AI/ML engineering or intelligent system development. Strong Python programming skills, with hands-on experience in prompt engineering and LLM workflows. Experience with frameworks such as LangGraph, CrewAI, AutoGen, LangChain, or similar agent development tools. Proficiency in implementing RAG architectures and working with vector databases (e.g., Qdrant, Chroma, Weaviate). Integration experience with APIs, databases, and frontend or workflow tools. Demonstrated success in consulting, technical sales, or AI solution architecture. Awareness of AI safety, compliance, and responsible development practices. Nice-to-Have: Familiarity with orchestration tools like n8n, Replit, or low-code AI automation platforms. Experience in enterprise domains such as insurance, healthcare, legal tech, or customer service. Exposure to multi-modal systems (text + vision) or knowledge graphs. MLOps or AI infrastructure experience in cloud environments (AWS, Azure, GCP Youll Thrive In This Role If You: Are energized by building systems that operate autonomously and adaptively in real-world scenarios. Can quickly move from ideation to implementation with a test-and-learn mindset. Stay at the forefront of LLM advancements and understand how to apply them to business problems. Communicate effectively across disciplines and help bridge product, engineering, and customer value. Thrive in a fast-paced, experimental environment that balances deep technical rigor with user impact. Why Join Us Work on frontier problems in AI agent design and autonomous systems. Collaborate with top-tier clients and industry-leading experts. Flexible work culture built around autonomy, innovation, and continuous learning. Competitive compensation and opportunities for high-impact contributions.

Experience: 2 years of experience in GenAI development is a must. Job Type: Work-from-Office or Remote | Full-time Location: Mangalore, Karnataka. Must have skills: Strong experience with MCP framework for building and deploying scalable AI solutions. Proven expertise in developing voice and text-based AI bots across platforms. Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and integration of GenAI APIs (like OpenAI, Azure OpenAI, etc.). Demonstrated ability to lead and manage teams , oversee project workflows, and drive successful delivery of technical solutions. Key Responsibilities: Design, develop, and optimize generative AI applications based on specific client requirements, including bots, agents, automation systems and AI-driven platforms Mentor and guide the development team, helping them solve technical challenges and improve project delivery Write clean, maintainable code and conduct code reviews. Lead data collection, preparation, and optimization efforts to enhance the performance of AI applications Stay updated with the latest research and advanements in AI/ML and assess their applicability. What Were Looking For? Strong programming skills in Python and experience with ML libraries/frameworks (Langchain, spacy, NLTK, Hugging Face, etc.).\ Hands-on experience with NLP, Dailogflow, Voiceflow, RASA, Microsoft Bot Framework, MCP Familiarity with MLOps practices, model deployment, and cloud platforms (AWS, GCP, Azure). Exposure to AI bot/agent platforms like Make, POE, RetellAI Solid understanding of data structures, algorithms, and software engineering principles. Strong analytical and problem-solving skills.

Job Description: Principal Data Scientist (Gen AI) Key Responsibilities: 8+ years of experience in data science, including 2+ years of hands-on experience working with and fine-tuning pre-trained LLMs (e.g., GPT, LLaMA) and diffusion models (e.g., Stable Diffusion, DALL-E, or MidJourney). Proficient in Python with a solid understanding of supervised and unsupervised learning techniques and strong hands-on expertise with machine learning packages such as scikit-learn, XGBoost, LightGBM, etc. Proficiency in deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers for fine-tuning and deploying LLMs and generative AI models. Proven experience in designing and implementing pipelines leveraging Vector/Graph Databases (e.g. Pinecone, FAISS, Neo4j) and Retrieval-Augmented Generation (RAG) for large-scale, efficient information retrieval and model integration. Experience with prompt engineering to optimize LLM performance for specific tasks, including designing and refining prompts to improve model outputs, enhancing coherence, relevance, and creativity in generated content. Hands-on experience with big data technologies such as PySpark for processing and analyzing massive datasets at scale. Exceptional problem-solving skills, with a proven ability to tackle complex challenges in language understanding, multimodal AI, and Generative AI projects. Nice-to-Have: Experience leveraging agents in LLMs (e.g., LangChain or similar frameworks) to build dynamic, multi-step workflows for reasoning, planning, and decision-making tasks. Familiarity with MLOps/LLMOps principles, including CI/CD pipelines, monitoring tools (e.g., MLflow, Kubeflow). Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless architectures for scalable AI deployments. Knowledge of RESTful APIs, message brokers (e.g., RabbitMQ, Kafka), and event-driven architectures to build robust, real-time AI applications. Hands-on experience with cloud platforms such as AWS or Azure AI for deploying large-scale ML models. Knowledge of ethical AI principles, including fairness, transparency, and bias mitigation in AI systems. A Masters or Ph.D. in Statistics, Machine Learning, Mathematics, Computer Science, or a related quantitative field.

Designation: Technical Lead Location: Airoli, Navi Mumbai Work Mode: Work from Office Experience: 6-9 years overall Looking for Immediate Joiners to 30 days notice period Job Description We are seeking a skilled Technical Lead with strong hands-on experience in Python development, AI/ML expertise, and cloud deployment capabilities to lead our technical projects and teams. Key Responsibilities Lead and contribute to the design, development, and implementation of Python-based applications and solutions. Apply AI/ML techniques to develop intelligent systems, models, and algorithms aligned with business needs. Oversee deployment, scaling, and management of applications on cloud platforms, ensuring reliability and performance. Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver high-quality solutions. Mentor and guide junior developers, fostering best practices in coding, testing, and deployment. Drive continuous improvement in software development processes and cloud infrastructure management. Troubleshoot and resolve technical issues, ensuring minimal downtime and optimal system performance. Required Qualifications and Skills Total Experience: 6-9 years in software development and technical leadership roles. Python: Minimum 5 years of hands-on development experience with strong coding and debugging skills. AI/ML: At least 1 year of practical experience applying AI/ML models and frameworks in production environments. Cloud Deployment: Minimum 2 years of experience deploying applications on cloud platforms such as AWS, Azure, or Google Cloud. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Excellent communication and leadership abilities to manage teams and coordinate with stakeholders.

Description: We are looking for a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. This role involves working on complex financial datasets, building machine learning models, and delivering data-driven insights that support business decisions and product innovation. The ideal candidate should be hands-on, analytical, and passionate about solving real-world problems through data. Requirements: Required Skills & Experience: 4–6 years of proven experience in Data Science, preferably in the finance or FinTech industry. Strong coding skills in Python, R, and SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Solid foundation in statistical modeling, data analysis, and deep learning. Familiarity with cloud platforms like AWS, Azure, or GCP. Proficiency in data visualization tools such as Power BI, Tableau, or Matplotlib. Excellent communication skills to effectively present data-driven insights. Preferred Qualifications: Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Exposure to NLP, generative AI, or large language models. Experience with MLOps practices for deploying and monitoring models. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected based on project needs. Job Responsibilities: Key Responsibilities: Analyze large-scale financial datasets to extract meaningful insights and trends. Develop and deploy machine learning models for predictive analytics and decision support. Translate business challenges into data science problems and propose appropriate solutions. Collaborate with product and business teams to build and implement data-driven features and tools. Communicate analytical findings clearly through visualizations and presentations for non-technical stakeholders. Continuously explore and adopt emerging tools, techniques, and best practices in AI/ML. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Responsibilities: Deliver training on data analyst and data science. Train freshers and working Professionals on data science, data analyst, business analyst, financial analyst. Train teams on data science principles through interactive sessions Annual bonus

Requirement: Role: AI/ML Engineer - Freshers Location: Chennai Notice Period: 0 -15 Days Education: Graduation or Post Graduation in Artificial Intelligence Requirements: Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Key Skills and Qualifications: Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Preferred skills: Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

We Advantum Health Pvt. Ltd - US Healthcare MNC looking for Senior AI/ML Engineer. We Advantum Health Private Limited is a leading RCM and Medical Coding company, operating since 2013. Our Head Office is located in Hyderabad, with branch operations in Chennai and Noida. We are proud to be a Great Place to Work certified organization and a recipient of the Telangana Best Employer Award. Our office spans 35,000 sq. ft. in Cyber Gateway, Hitech City, Hyderabad Job Title: Senior AI/ML Engineer Location: Hitech City, Hyderabad, India Work from office Ph: 9177078628, 7382307530, 9059683624 Address: Advantum Health Private Limited, Cyber gateway, Block C, 4th floor Hitech City, Hyderabad. Location: https://www.google.com/maps/place/Advantum+Health+India/@17.4469674,78.3747158,289m/data=!3m2!1e3!5s0x3bcb93e01f1bbe71:0x694a7f60f2062a1!4m6!3m5!1s0x3bcb930059ea66d1:0x5f2dcd85862cf8be!8m2!3d17.4467126!4d78.3767566!16s%2Fg%2F11whflplxg?entry=ttu&g_ep=EgoyMDI1MDMxNi4wIKXMDSoASAFQAw%3D%3D Job Summary: We are seeking an experienced Sr. AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models. The ideal candidate will have a deep understanding of AI/ML concepts, strong programming skills, and experience working with large datasets in a production environment. This role requires the ability to design, implement, and scale AI solutions that solve complex business problems. Key Responsibilities: Design, develop, and deploy scalable machine learning models and algorithms. Collaborate with data scientists, engineers, and product teams to integrate AI solutions into products. Conduct experiments and analyze results to improve model performance and reliability. Work with large-scale datasets and develop data pipelines for training and inference. Stay up-to-date with the latest developments in AI/ML research and technologies. Mentor junior engineers and contribute to technical leadership within the team. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 3+ years of experience in machine learning, artificial intelligence, or related field. Proficiency in programming languages such as Python, Java, or C++. Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of data structures, algorithms, and software engineering best practices. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Excellent problem-solving skills and the ability to work independently and in a team. Follow us on LinkedIn, Facebook, Instagram, Youtube and Threads for all updates: Advantum Health Linkedin Page: https://www.linkedin.com/showcase/advantum-health-india/ Advantum Health Facebook Page: https://www.facebook.com/profile.php?id=61564435551477 Advantum Health Instagram Page: https://www.instagram.com/reel/DCXISlIO2os/?igsh=dHd3czVtc3Fyb2hk Advantum Health India Youtube link: https://youtube.com/@advantumhealthindia-rcmandcodi?si=265M1T2IF0gF-oF1 Advantum Health Threads link: https://www.threads.net/@advantum.health.india HR Dept, Advantum Health Pvt Ltd Cybergateway, Block C, Hitech City, Hyderabad Ph: 9177078628, 7382307530, 9059683624