1197 Aiml Jobs - Page 29

Job Description: • Proficient in Python, Langchain, SQL ,AI/Ml. • Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows ,ML modules • Experience in cloud platforms like AWS, Azure, GCP.

3 vacancies, 1 each in the labs of: ADAS and Autonomous Driving Automotive Cybersecurity Electric & Hybrid Vehicles Primary Responsibilities: Lab deployment: Deploy labs to the WILP students as per the course requirement and assess the lab components on time under the guidance of course faculty Lab development: Autonomous vehicle development - support the responsible faculty and the Experiential Learning Lead (ELL) from initiation, through proposal, procurement, commissioning, installation and development Develop lab exercises under the guidance of course faculty Support the creation of audio-visuals for marketing/training purposes Lab maintenance: Work with the Experiential Learning Lead (ELL) and the respective lab faculty for maintenance of lab equipment, and upkeep of software licenses Student support : Prompt resolution of student queries related to labs

Location: Pune OR Remote Experience: 13+ years Domain: Technology Services. Experience with EdTech domain is good to have Role Overview: As a Solution Architect, you would be responsible for architecting end-to-end solutions that leverage latest technologies and modern development practices. You would also coordinate with the Sales team to provide scalable and high-performance solutions to cater Customer specific requirements. Required Skills and Technologies: Strong knowledge of one of the backend technologies (Java, NodeJS, Python, DotNet, etc.) Knowledge of one of the frontend technologies (ReactJS, Angular, etc.) Knowledge of SQL / NoSQL databases Experience with one of the Cloud platforms AWS, Azure, GCP or equivalent. Experience with preparing solutions leveraging AI / ML or Generative AI use cases. Knowledge of containerization like Docker, Kubernetes, etc. Prior experience in building scalable and high performant Cloud solutions Knowledge of CI/CD tools to ensure code quality, functional quality and productivity improvements Knowledge of application performance monitoring tools. Nice to Have: Knowledge of Mobile technologies Good to Have: Familiarity with EdTech standards such as LTI, QTI, xAPI, CMI5 and SCORM. Good to Have: Experience with Rostering standards like OneRoster, ClassLink, etc.. Key Responsibilities: Technology Leadership: Lead the selection and integration of right choice of technology and tools to suit the Customer specific requirements Architecting Solutions: Design and develop comprehensive solutions for EdTech platforms, including Learning Management Systems (LMS) and Rostering solutions. Stakeholder Collaboration: Work closely with cross-functional teams to align technology solutions with business goals. Architectural Reviews: Conduct reviews of the solutions being implemented and validate Architectural alignment or recommend course corrections. Our Offerings for Employee Benefits • Health Insurance for Employee+Spouse+Two Children+Parents • GPA For Employee • Hybrid working • Compliance PF and Gratuity About Academian Academian is a carve out of an existing IT services company Intraedge Inc. Website: www.academian.com We are a service, products and learning development company in the education domain with a current headcount of 280+ team members. We are targeting a headcount of 500 in the next 3 years as we are working on a pipeline for additional business expanding our footprint across services, products, and learning. Future : Will allow multiple publishers to create content on this platform so that school and students can have a variety of courses, topics, and assessments. (Marketplace-digital) Parent Company: Intraedge : 20 years product and solutions company. Website: www.intraedge.com Intra Edge was founded as a Professional, Staffing, and Global Services firm with the objectives of investing in understanding our clients business and partnering with them to drive greater return on their technology investment, improving their business operating efficiency, and ensuring scalability for future growth.

Data Architect - AI & Azure - Lead & Coach Team Job Description: Job Title: Data Architect - AI & Azure - Lead & Coach Teams Shift Timings: 12 PM - 9 PM Location: Jaipur, hybrid Experience required: 10 to 20 years Job Title: Data Architect - AI & Azure - Lead & Coach Teams Experience: Total Experience: 5+ years in data architecture and implementation. Pre-Sales Experience: Minimum 1 year in a client-facing pre-sales or technical solutioning role is mandatory. Must-Have Skills & Qualifications: Technical Expertise: In-depth knowledge of the Microsoft Azure data platform (Azure Synapse Analytics, Azure Data Factory, Azure SQL, Azure Data Lake Storage). Modern Data Platforms: Hands-on experience with Databricks and/or Snowflake. AI Acumen: Strong understanding of AI workflows and data requirements. Must have a solid grasp of Gen AI applications and concepts. Leadership: Experience in mentoring, coaching, or leading technical teams or project initiation phases. Solutioning: Proven ability to create high-quality technical proposals, respond to RFPs, and design end-to-end data solutions. Communication: Exceptional English communication and presentation skills are essential for this client-facing role. If interested Please share your resume on shivam.gaurav@programmers.io

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. Primary Responsibilities: The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery With every role in the company, each position has a requirement for building quality into every output This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways Basic, structured, standard approach to work Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduation 3+ years of experience in Python 2+ years of experience in AI ML Cloud PlatformsHands-on experience with GCP, Azure, or AWS for deploying AI applications Containerization and OrchestrationExperience with Docker and Kubernetes Database ExpertiseKnowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases Generative AI ToolsFamiliarity with LLMs, Google ADK, Anthropic MCP, and multi-agent frameworks AI ExpertiseSolid understanding of classical ML, deep learning, and Generative AI technologies Programming LanguagesProficiency in Python and experience with FastAPI (asynchronous implementation) Logging ToolsProficiency in Splunk for logging and diagnostics Performance OptimizationProven ability to conduct performance testing and optimize backend systems Preferred Qualifications: Experience in prototyping and deploying AI-driven applications in production environments Knowledge of ReAct frameworks for multi-agent AI systems Familiarity with CI/CD pipelines and DevOps practices Understanding of ethical AI practices and governance frameworks Proven solid problem-solving skills and ability to address challenges in cloud deployment and backend optimization At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic

Primary Responsibilities: Apply advanced statistical techniques, data science methodologies, and AI practices, including generative AI using GPT models Design, develop, and implement cutting-edge generative AI models and systems Perform data mining, cleaning, and aggregation to prepare datasets for analysis Manage and query data while ensuring high standards of data quality and integrity Communicate complex insights through compelling data storytelling and visualizations using Power BI Leverage ML Ops practices to deploy and manage machine learning models in production environments Collaborate in an agile team setting, actively participating in sprint planning, reviews, and retrospectives Adhere to company policies, employment terms, and evolving business directives, including flexibility in work location, team assignments, and work arrangements Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 5+ years of experience in data science with a strong foundation in machine learning, statistics, and data science methodologies 1+ years of hands-on experience applying AI to real-world technology solutions Experience fine-tuning LLM hyperparameters and optimizing model configurations for performance and client impact Hands-on experience with ML Ops and deploying models in production Familiarity with embeddings and other advanced data science techniques Proficiency in Python, TensorFlow, NLP, and deep learning frameworks Demonstrated ability to collaborate with cross-functional teams to prototype, build, test, and scale GenAI/LLM-powered solutions Solid background in REST API development, NoSQL and RDBMS design, and performance optimization Proficiency in cloud platforms such as GCP, Microsoft Fabric, Azure Stack, and Azure ML Proven expertise in generative AI and GPT-based model development Proven advanced skills in data storytelling and visualization using Power BI Proven excellent communication and collaboration skills, especially with non-technical stakeholders Proven agile mindset with a proven ability to contribute effectively in agile teams Preferred Qualifications: Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience working with healthcare data and a solid understanding of the healthcare industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #Nic External Candidate Application Internal Employee Application

Total minimum exp should be 6 years. Minimum Relevant UI path experience should be 5 years. Experienced across multiple RPA tools such as, UiPath, Blue Prism, AA etc. Determine the process complexity Estimating the effort for each activity in the RPA life cycle Design and deliver technical solutions to business problems Providing specifications according to the defined solution Experienced in preparing proposals based on the requirements Setup the infrastructure for RPA development Extensive knowledge in OCR / Cognitive services Experienced in AI & ML tools Identify best practices and continuous improvement in RPA solutions Infrastructure knowledge, including servers, storage, firewalls, load balancers, routers, etc Maintain/monitor RPA environments (Dev/Test/Prod) Ability to present technical details to non-technical audiences Ability to multitask in a fast paced environment and prioritize the most critical tasks and projects Hands-on experience with UiPath (Min 6-7 projects) Strong knowledge in Reframwork / queue based processing Excel /String based operations and manipulation. understanding and experience on multi bot architecture Good To Have Knowledge on Mainframe automations. Basic knowledge on ICR/OCR automations. Basic knowledge in any programming language

Hello Everyone, Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Machine Learning, Deep Learning, TensorFlow, PyTorch, Python, Data Analysis, Algorithm Design, AWS/GCP, Model Deployment, Big Data Technologies, Version Control (Git) Primary Responsibilities: Design and implement complex AI/ML models and algorithms Collaborate with data scientists to preprocess, analyze, and interpret large datasets Develop and maintain scalable and robust machine learning frameworks Integrate AI/ML solutions into products and develop new innovative features Perform model testing, validation, and optimization Deploy machine learning models into production environments Stay up-to-date with the latest advancements in AI/ML technologies and practices Mentor junior team members and provide technical guidance Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 6+ years of experience in software engineering with a focus on AI/ML Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Experience with data preprocessing and analysis Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) Hands-on technical skill Proven excellent problem-solving skills and the ability to think algorithmically Proven solid communication and teamwork abilities Interested can share their updated CV at arshad_mohammad@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum

Role & responsibilities Ideally, we are looking for a 60:40 mix, with stronger capabilities on the Data Engineering side, along with working knowledge of Machine Learning and Data Science conceptsespecially those who can pick up tasks in Agentic AI, OpenAI, and related areas as required in the future.

Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning. Preferred candidate profile Bachelor's degree in computer science, data science, mathematics, or a related field. Knowledge as a machine learning engineer. Proficiency with a deep learning framework such as TensorFlow, XgBoost, Wavevnet, Keras, numpy. Advanced proficiency with Python, Java, and R code writing. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture in ANN, CNN, RNN with LSTM. Ability to select hardware to run an ML model with the required latency In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. Benefits of working with OptimEyes 1 . Remote work opportunity ( work from home)2. Work opportunity with a top-notch team, cutting-edge technology, and leadership of extremely successful experts.3. Monthly Bonus along with Salary4. Yearly Bonus Role & responsibilities Preferred candidate profile Role & responsibilities Preferred candidate profile

Hi, we are hiring. Remote Opportunity Role & responsibilities Technical Strategy & Development Develop functional design, define the technology roadmap, selecting the best software architecture (custom or existing solution). Lead the customization and integration of the AI-powered applicant tracking system (ATS) or similar system. Oversee the development of the platform and recruitment features integration. Team Building & Leadership Manage and supervise engineers, designers, and AI specialists. Coordinate with outsourced development teams and ensure smooth collaboration. Establish best practices for agile development, security, and scalability. Stakeholder Collaboration Work closely with founders, HR teams, and external partners to align technical execution with business goals. Ensure the platform meets compliance standards (GDPR, data security, etc.). Regularly report progress, challenges, and key decisions. Key Skill Requirements: Academic background: Bachelor's degree in Computer Science, Software Engineering, or a related field (Masters degree is an advantage). Strong extracurricular activities and a track record of participation in coding competitions, hackathons, or similar technical events are a plus. Technical Expertise Strong background in full-stack development (React, Node.js, Python, Django, or similar). 6+ years of experience with AI-driven applications (machine learning, NLP, recommendation systems). Familiarity with ATS, HR Tech, or recruitment platforms is a plus. Startup & Leadership Experience Prior experience in a fast-growing startup or leading early-stage tech development. Ability to build and scale technical teams from scratch. Strong decision-making and project management skills. Product & Business Understanding Experience working with product teams, UX designers, and business leaders. Ability to balance technical innovation with business needs. Knowledge of European HR and recruitment trends is a plus. If anyone Interested Please Contact me E Mail: srikanth.xms@gmail.com/8919869111

We are looking for a skilled OCI Cloud AI Architect with 10 to 15 years of experience in Oracle Cloud and Artificial Intelligence, based in Bengaluru. The ideal candidate should have strong Python programming development experience, streamlit, XML, JSON, and hands-on knowledge of LLMs. Roles and Responsibility Design, architect, and deploy full-stack AI/ML & Gen AI solutions over the OCI AI stack. Develop and implement AI governance, security, guardrails, and responsible AI frameworks. Work on data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Implement Agentic AI Frameworks such as CrewAI, AutoGen, and multi-agent orchestration workflows. Fine-tune and parameter-efficiently tune models using prompt engineering techniques. Collaborate with cross-functional teams to integrate AI/ML models into existing systems. Job Strong Python programming development experience, including streamlit, XML, and JSON. Deep hands-on knowledge of LLMs (e.g., Cohere, GPT) and prompt engineering techniques (e.g., zero-shot, few-shot, CoT, ReAct). Experience with AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) and Vector DBs (e.g., Pinecone, Milvus). Proficient in implementing Agentic AI Frameworks (e.g., CrewAI, AutoGen, and multi-agent orchestration workflow). Strong understanding and practical application of Prompt engineering, Fine-tuning, and parameter-efficient tuning. Experience with front-end languages such as React, Angular, or JavaScript. Experience with Oracle ATP, 23ai Databases, and vector queries. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) and Vector DBs (e.g., Pinecone, Milvus).

Role & responsibilities Preferred candidate profile Job Title: Senior Python Developer AI/ML Location: [On-site/Remote/Hybrid Location] Experience Required: 6+ years Employment Type: [Full-time Job Summary: We are seeking a highly skilled and experienced Senior Python Developer with strong AI/ML expertise to join our dynamic team. The ideal candidate will play a critical role in designing, developing, and deploying intelligent applications and services. You will collaborate closely with data scientists, ML engineers, and product teams to deliver scalable, high-performance AI solutions. Key Responsibilities: Design, develop, and maintain robust and scalable Python applications with integrated AI/ML components. Build and optimize machine learning models for classification, regression, NLP, computer vision, or recommendation systems. Work with large datasets, perform data wrangling, and implement data pipelines using tools such as Pandas, PySpark, or Apache Airflow. Integrate ML models into production-grade applications and APIs (using Flask, FastAPI, etc.). Collaborate with cross-functional teams including Data Engineering, DevOps, and Product Management to define system architecture and implementation strategies. Participate in code reviews, mentor junior developers, and contribute to best coding practices and documentation. Monitor and improve performance of deployed models and applications. Required Skills and Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, Engineering, or related field. 6+ years of professional experience in Python development. Strong knowledge of machine learning algorithms, statistical modeling, and data science techniques. Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost . Proficient in data processing and analysis tools like NumPy, Pandas, SQL, Spark . Hands-on experience deploying ML models in production environments. Experience with REST APIs and microservice architecture. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes is a plus. Version control (Git), CI/CD pipelines, and cloud platforms (AWS, GCP, Azure) experience preferred. Excellent problem-solving skills, analytical thinking, and attention to detail.

Immediate Hiring !!!!! We are conducting a scheduled Drive @ Chennai Office Experience - 3-17 years Designation - Senior Engineer/Module Leader/Technical Leader/Architect Location - Chennai Interview Mode - Face to Face - 12th July - Saturday @ Chennai Office Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services Responsibilities Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive, plan and prioritize data projects Build analytic systems and predictive models Test performance of data-driven products Visualize data and create reports Align data projects with organizational goal Understands business problems and designs end-to-end analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborates with model developers to implement and deploy scalable solutions Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Qualification & Other Attributes: 3-15 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge and experience in Large Language Models (LLM) Strong knowledge on Generative AI Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc. (Any 3 or 4) Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory Good knowledge in Explainable AI Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net Interested candidates can share their updated resume at megha.chattopadhyay@aspiresys.com

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=7 to 13 , jd= Data Scientist Python and Notebooks Responsibilities We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency 1013 years of experience in data science or related field Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications , Title=Data Scientist, ref=6566343

This role has been designed as ?Onsitewith an expectation that you will primarily work from an HPE partner/customer office Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in todays complex world Our culture thrives on finding new and better ways to accelerate whats next We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves, together, and are a force for good If you are looking to stretch and grow your career our culture will embrace you Open up opportunities with HPE Job Description HPE Operations is our innovative IT services organization It provides the expertise to advise, integrate, and accelerate our customersoutcomes from their digital transformation Our teams collaborate to transform insight into innovation In todays fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities Deploy the right technology to respond quickly to market possibilities Join us and redefine whats next for you What You Will Do Security Tower Head role at HPE's critical large customer is a strategic role that needs deep experience in a similar capacity of CISO and as Lead Cybersecurity Architect for at least 10 years and has a total experience in the security domain for a minimum of 15 years This role shall also demand for a strong stakeholder management The experience of leading a large team of cybersecurity specialists from various domains such as VAPT, DLP, Edge Security/EDR, WAF, LB, SIEM SOAR UEBA, ITSM, GRC, SAST DAST, Cloud Security, DevSECOps, and related scripting/coding experience in the above domains including AI/ML based Cybersecurity modelling is mandatory Responsible for IS operations Oversee formal risk assessment and self-assessments program for various Information Services systems and processes Manage and Monitor, organization technology security policy, ISO 27001, Data privacy and regulatory requirement to remediate new and outstanding issues; track & resolve security-related issues Carry out audits for ensuring enforcement of information security policies Promote and monitor our corporate wide IS Security awareness for ISO 27001 program Responsible for design, develop and update the policies regarding Information Security, data governance and privacy Responsible for application security, Governance and Compliance Responsible for Initiating and advocating safe practices and Industry standards Advises the CISO office on the emerging information security risks and their mitigation strategies Responsible for performing all Security audits & IT risk assessment activities Responsible for initiating and managing required information security Compliance certification processes Responsible for integration and gap analysis of the Information security of any company that company acquires Strong knowledge of the requirement of Computer Applications and Network security technologies and principles Develop, promulgate, and maintain policies, standards and practices of Information Security by establishing and maintaining efficient processes to monitor compliance of defined policies, standards and practices Implement policies through digital workflows Ensure activities related to BCP-DR and Emergency operations are performed in timely manner Assist in planning for information security risk monitoring, risk analysis, incident management, Change Management and overall information security requirements needed to support strategic IT and business needs Qualifications What you need to bring: BE/ B Tech/ M Tech/ MSc/ MCA qualification or equivalent Certifications: LA ISO 27001 (mandatory requirement) and any one of the IT risk management or Information security certificates such as CISA, CISSP, CISM, CRISC, ISO31000 Experience Experience of 10 years and minimum IT Audit experience of 3 Years Experience in driving key meetings for closing identified IS issues or gaps across different teams and vendors and achieve the outcomes within the define deadlines Strong understanding of ISO 27001 as well as industry security frameworks Strong knowledge of risk assessment and mitigation Additional Skills Accountability, Accountability, Active Learning (Inactive), Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more} What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing Personal & Professional Development We also invest in your career because the better you are, the better we all are We have specific programs catered to helping you reach any career goals you have ? whether you want to become a knowledge expert in your field or apply your skills to another division Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves, together, and are a force for good Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE #india #operations Job Services Job Level TCP_05 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together Please click here: Equal Employment Opportunity Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories

Greetings from Euclid Innovations!!! We have Python with AIML with one of our client in Hyderabad. Position : Python AIML Experience : 8+ Years Location : Hyderabad/Bangalore Work Mode: Hybrid Interview Mode: Client Round F2F-In Hyderabad Notice Period: Immediate to 20 Days Max Role Overview: We are looking for a skilled Python Developer with strong Artificial Intelligence (AI) expertise to join our growing technology team. The ideal candidate will be responsible for developing AI-powered solutions using Python and collaborating with data scientists and product teams to bring intelligent features to our applications. Key Responsibilities: Develop and maintain AI-enabled applications using Python. Design and implement machine learning and deep learning models for tasks like classification, prediction, NLP, or computer vision. Collaborate with data scientists to prepare data pipelines and automate model training and evaluation. Develop APIs or microservices to expose AI models and integrate them into front-end systems. Perform data preprocessing, feature engineering, and model validation. Continuously optimize model performance and monitor outputs in production environments. Stay up to date with emerging AI tools, libraries, and trends. Required Skills: Strong knowledge of Python and experience with libraries such as NumPy , Pandas , Scikit-learn , and TensorFlow or PyTorch . Solid understanding of machine learning algorithms , data structures, and OOP principles. Experience in building and deploying ML models in production. Familiarity with RESTful API development using Flask or FastAPI. Experience working with structured and unstructured data . Version control using Git and basic knowledge of DevOps tools. Preferred Qualifications: Bachelors/Masters degree in Computer Science, Engineering, AI, or related field. Exposure to NLP, computer vision , or time series forecasting. Familiarity with cloud platforms like AWS, GCP, or Azure. Basic knowledge of Docker , Kubernetes , or MLflow is a plus. Nice to Have: Hands-on experience with Generative AI or LLMs . Contributions to AI research or open-source AI projects. Experience with AI model monitoring and performance tuning. if interested share your profile to aruna.c@euclidinnovations.com

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision. This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint. Key Responsibilities: Contribute to AI business growth by working on RFPs, proposals, and solutioning activities. Lead the team in delivering customer requirements, ensuring quality and timely execution. Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques. Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA. Interact directly with customers to understand their business needs and provide AI-driven solutions. Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models. Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings. Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate AI into business applications. Stay updated with AI/ML research and integrate new techniques into projects. Required Skills & Qualifications: Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision. Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn). Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion). Experience with data preprocessing, feature engineering, and performance evaluation. Exposure to containerization and cloud deployment using Docker, Kubernetes. Experience with vector databases and RAG-based architectures. Ability to lead teams and projects, and work independently with minimal guidance. Experience with customer-facing roles, proposals, and solutioning. Educational Requirements: Bachelors, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field. Preferred Skills (Good to Have): Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting. Familiarity with Graph Neural Networks (GNNs). Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms. Contributions to open-source AI projects or publications in peer-reviewed journals.

Python and R for AI/ML Development, employing robust languages like JavaScript, HTML/CSS on the frontend, with a deep-seated expertise in Python and R on the backend, complemented by a practical exposure to Java backend Required Candidate profile Design, Devlop and deploy AI/ML models, machine learning algorithms using transformative principles of Artifical Intelligence, data analysis, manage datasets, employ machine learning alogorithms

Role & responsibilities Preferred candidate profile

Data Center & Cloud Infrastructure and Service Orchestrator Architect Position Overview Initial 3-month contract extendable based on performance and project extension. Location : Japan (selected candidates must be working in Japan ) will arrange travel and accommodation for selected candidates We are seeking an expert Data Center & Cloud Infrastructure and Service Orchestrator Architect to design and implement the service orchestration layer that will deploy and manage diverse workloads on top of our multi-region cloud infrastructure. This role focuses on creating the intelligent orchestration systems that automate the deployment, scaling, and management of applications, databases, AI/ML services, and other cloud services. Key Responsibilities Service Orchestration Platform Design Design comprehensive service orchestration platforms for automated workload deployment and management Architect API-driven service provisioning systems with self-service capabilities Design multi-tenant service isolation and resource allocation frameworks Create service lifecycle management systems including deployment, scaling, updates, and decommissioning Workload Orchestration Architecture Design orchestration systems for diverse workload types: Virtual machine provisioning and management Container orchestration using Kubernetes Database service deployment (SQL, NoSQL, distributed databases) Message queue services (Kafka, RabbitMQ, Apache Pulsar) GPU-accelerated AI/ML services and model inference platforms Large Language Model (LLM) fine-tuning and inference services similar to AWS Bedrock AI/ML Service Orchestration Architect AI/ML pipeline orchestration for model training, validation, and deployment Design GPU resource scheduling and allocation systems for distributed training Create model serving infrastructure with auto-scaling and load balancing Design MLOps platforms for continuous integration and deployment of ML models Architect LLM inference services with dynamic scaling and cost optimization Service Discovery and Integration Design service mesh architectures for microservices communication Architect API gateway and service proxy solutions Create service discovery, configuration management, and secrets management systems Design inter-service communication patterns and protocols Automation and DevOps Integration Design CI/CD pipelines integrated with service orchestration platforms Architect GitOps workflows for declarative service management Create policy-based governance and compliance automation Design cost management and resource optimization automation Required Qualifications Experience 12+ years in distributed systems and service orchestration 8+ years with container orchestration platforms (Kubernetes, Docker Swarm) 6+ years with cloud-native application architecture and microservices 5+ years with AI/ML infrastructure and model deployment systems Service Orchestration Expertise Kubernetes: Expert-level knowledge of Kubernetes architecture, custom resources, operators, and ecosystem tools Container Technologies: Deep understanding of Docker, containerd, container networking, and storage Service Mesh: Experience with Istio, Linkerd, or Consul Connect API Design: Proficiency in REST, GraphQL, and gRPC API design and implementation Workflow Orchestration: Experience with Apache Airflow, Temporal, or similar workflow engines AI/ML and Data Services ML Orchestration: Experience with Kubeflow, MLflow, or similar ML pipeline platforms GPU Computing: Knowledge of CUDA, distributed training frameworks (PyTorch, TensorFlow) Model Serving: Experience with model inference platforms (TensorFlow Serving, TorchServe, NVIDIA Triton) LLM Infrastructure: Understanding of large language model deployment, fine- tuning, and inference optimization Data Platforms: Experience with big data orchestration (Apache Spark, Flink, Kafka) Cloud-Native Technologies DevOps Tools: Proficiency with Jenkins, GitLab CI, ArgoCD, or similar CI/CD platforms Infrastructure as Code: Experience integrating with Terraform, Pulumi, or CloudFormation Monitoring & Observability: Knowledge of Prometheus, Jaeger, Fluentd, and cloud-native monitoring stacks Security: Understanding of container security, RBAC, network policies, and secrets management Programming and Automation Languages: Proficiency in Go, Python, or Java for building orchestration tools and operators Scripting: Advanced skills in Bash, Python for automation and integration scripts Database Technologies: Experience orchestrating various database types (PostgreSQL, MongoDB, Elasticsearch, Redis) Message Queues: Deep knowledge of Kafka ecosystem, RabbitMQ, and event- driven architectures Preferred Qualifications Experience building platform-as-a-service (PaaS) or infrastructure-as-a-service (IaaS) offerings Knowledge of serverless computing platforms and function-as-a-service (FaaS) Experience with edge computing and distributed cloud orchestration Certifications: CKA, CKAD, CKS (Kubernetes), or relevant cloud platform certifications Experience with FinOps and cloud cost optimization Education & Certifications Bachelor& degree in Computer Science, Software Engineering, or related field Master& degree in distributed systems or related area preferred Industry certifications in Kubernetes, cloud platforms, or DevOps practices Key Competencies Strong software engineering and system design skills Deep understanding of distributed systems patterns and microservices architecture Excellent problem-solving abilities for complex orchestration challenges Experience with agile development practices and cross-functional team collaboration Strong communication skills for technical architecture discussions Work Environment Collaborative environment working closely with infrastructure and application teams Opportunity to work with cutting-edge AI/ML and cloud-native technologies Fast-paced environment with focus on automation and self-service capabilities Regular interaction with customer technical teams and requirements gathering

Data Center & Cloud Infrastructure Architect Note: Initial 3-month contract extendable based on performance and project extension. Location : Japan (selected candidates must be working in Japan ) will arrange travel and accommodation for selected candidates Position Overview We are seeking a highly experienced Data Center & Cloud Infrastructure Architect to design and implement the foundational infrastructure for a large-scale, multi-region cloud platform for a major Cisco enterprise customer. This role focuses on the core infrastructure layer including compute, storage, networking, and data center facilities that will serve as the foundation for cloud services deployment. Key Responsibilities Infrastructure Foundation Design Design multi-data center infrastructure with regional and availability zone architecture similar to AWS regions Architect compute infrastructure including server farms, hypervisor layers, and bare-metal provisioning systems with modern technology like Nitro Design storage infrastructure encompassing block, file, and object storage systems with multi-site replication Create network fabric designs including spine-leaf architectures, overlay networks, and inter-DC connectivity, with resiliency like AWS GCP. Data Center Architecture Architect infrastructure for high availability across multiple availability zones Design disaster recovery and business continuity infrastructure across regions Plan capacity scaling strategies for compute, storage, and network resources Network Infrastructure Design Design core networking infrastructure including routers, switches, load balancers, and firewalls Architect software-defined networking (SDN) solutions and network virtualization layers Design inter-data center networking including WAN optimization and dedicated circuits Create network segmentation and security zone architectures Infrastructure Automation Framework Design Infrastructure as Code (IaC) frameworks for automated infrastructure provisioning and Code through AI. (Infra as code code by AI intent By User) Architect infrastructure APIs and interfaces for programmatic resource management Design configuration management and infrastructure drift detection systems Create infrastructure monitoring, alerting, and self-healing capabilities Hardware and Platform Integration Evaluate and select server, storage, and networking hardware platforms Design integration strategies for Cisco UCS, networking, and storage solutions Architect hypervisor and container runtime infrastructure Design GPU clusters and high-performance computing infrastructure for AI/ML workloads Required Qualifications Experience 15+ years in data center design, architecture, and operations 10+ years in cloud infrastructure architecture and large-scale distributed systems 8+ years with infrastructure automation and programmable infrastructure Experience designing infrastructure for enterprise customers with 1000+ servers Core Technical Skills Data Center Design: Deep expertise in facility design, power/cooling systems, and physical infrastructure Server Architecture: Advanced knowledge of x86, ARM, and GPU server platforms Storage Systems: Expert-level understanding of SAN, NAS, object storage, and distributed storage architectures Network Infrastructure: Mastery of switching, routing, load balancing, and data center networking protocols Virtualization: Extensive experience with VMware vSphere, KVM, and bare- metal provisioning systems Infrastructure Technologies Cisco Technologies: Deep knowledge of UCS, Nexus switching, ACI, and Cisco storage solutions Automation Tools: Proficiency with Terraform, Ansible, Puppet, or Chef for infrastructure automation Cloud Platforms: Understanding of AWS, Azure, GCP infrastructure services and architectural patterns Monitoring Systems: Experience with infrastructure monitoring tools (Prometheus, Grafana, Nagios, etc.) Container Infrastructure: Knowledge of Docker, containerd, and container runtime environments Specialized Expertise High-performance networking (InfiniBand, RDMA, high-speed Ethernet) GPU infrastructure and CUDA/ROCm platforms for AI/ML workloads Distributed storage systems (Ceph, GlusterFS, or proprietary solutions) Infrastructure security and compliance frameworks Capacity planning and performance modeling Preferred Qualifications Experience with hyperscale infrastructure design (10,000+ servers) Previous work with telecommunications or cloud service providers Knowledge of edge computing and distributed cloud architectures Certifications: CCIE Data Center, VMware VCDX, or equivalent expert-level certifications Experience with infrastructure cost optimization and FinOps practices Education & Certifications Bachelor& degree in Computer Science, Electrical Engineering, or related field Master& degree in relevant technical discipline preferred Professional certifications in networking, virtualization, or cloud platforms Key Competencies Systems thinking and ability to design complex, interconnected infrastructure Strong analytical skills for capacity planning and performance optimization Excellent technical documentation and diagramming skills Ability to evaluate and integrate new technologies and vendor solutions Experience with vendor management and technology procurement processes

Mission: Were looking for a dynamic, forward-thinking Technology Enablement Lead to champion the use of modern systems—including, but not limited to, AI—to help every department across the company work more effectively. This role is about unlocking potential: identifying where technology can remove friction, boost productivity, and spark innovation, then making it happen. What You’ll Do: Drive Adoption of Smart Tools: Help teams across the organization discover and adopt tools like Microsoft 365 Copilot, ChatGPT, and other emerging platforms to improve how they work. Optimize Workflows: Collaborate with departments to streamline processes, reduce manual effort, and automate repetitive tasks using the right mix of technology. Enable Data-Driven Decisions: Support teams in using data and AI to uncover insights, track performance, and make smarter decisions. Upskill the Organization: Lead training, create playbooks, and offer hands-on support to build confidence and capability in using new tools. Be a Connector: Work cross-functionally with marketing, sales, operations, HR, finance, and more to identify opportunities for tech-driven improvements. Stay Ahead of the Curve: Continuously explore new technologies, trends, and best practices—and bring the most promising ones into the business. Report to Leadership: Work closely with the senior executive team to align enablement efforts with strategic priorities and report on impact. What You Bring: A strong grasp of AI, automation, and digital productivity tools Experience rolling out new technologies across diverse teams A passion for helping people work better through smart systems Excellent communication and change management skills A bias for action, curiosity, and a love of learning The ability to translate tech potential into real-world results Role & responsibilities Preferred candidate profile

Job Summary We are seeking highly skilled and motivated Data Scientists to join our dynamic team. The ideal candidate will be responsible for designing and implementing data-driven solutions that inform strategic decisions, improve customer experience, and drive business growth. Key Responsibilities Develop, test, and deploy predictive models and machine learning algorithms to solve business problems. Analyze large, complex datasets to extract actionable insights and trends. Collaborate with cross-functional teams (engineering, product, marketing, operations) to understand business requirements and deliver data solutions. Communicate findings and recommendations to stakeholders through visualizations, presentations, and reports. Build and maintain dashboards and analytical tools for ongoing monitoring and reporting. Clean, preprocess, and manage data pipelines for modeling and analytics. Evaluate model performance and continuously improve based on feedback and new data. Stay current with the latest developments in data science, machine learning, and analytics technologies. Requirements Education: Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: Professional experience in data science, analytics, or a related field. Technical Skills: Strong programming skills in Python and/or R. Proficiency in SQL for data extraction and manipulation. Experience with machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Knowledge of statistical techniques and their practical applications. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and manage multiple tasks and projects. Preferred Qualifications Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of A/B testing and experiment design. Exposure to CI/CD practices and version control (e.g., Git). Experience working in an agile development environment.

10+ years of experience into Fullstack development into AI technologies and tools Strong experience with React or Angular latest versions with Python for backend Exposure into Azure