1265 Aiml Jobs - Page 49

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? Mandatory Skills DataIku for ETL operations and preferably other ETL tools like Informatica. Good in Python Coding, SQL, GIT Proven experience as a Data Engineer, Data Integration, Data Analyst. Preferred Skills Banking Domain exposure and AI/ML, Data Science exposure ? 7+ years of experience, including 2+ years of experience in delivering projects in DataIku platforms. Proficiency in configuring and optimizing Dataiku’s architecture, including data connections, security settings and workflow management. Hands-on experience with Dataiku recipes, Designer nodes, API nodes & Automation nodes with deployment. Expertise in python scripting, automation and development of custom workflows in Dataiku Collaborate with data analyst, business stakeholders and client to gather and understand the requirement. To contribute to the developments in DataIku environment to apply data integration with given logic to fulfil Bank Regulatory requirement and other customer requirement. Gather, analyse and interpret requirement specifications received directly from the client. Ability to work independently and effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Familiarity with agile development methodologies. Participate in the CR/Production deployment implementation process through Azure DevOps ? ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

What is AI Engineer team responsible for? As a Senior AI Engineer, youll be a key member of the Data & AI team. This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. Were looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions at scale. The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt new solutions fast. You will play a crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data #MID_SENIOR_LEVEL What is a Digital & AI/ML Lead Engineer (Senior AI Engineer) responsible for? Serve as a hands-on technical lead, driving project execution and delivery in our growing AI team based in the Hyderabad office. Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, AI-powered solutions. Design and build AI applications leveraging best smart solutions. Provide quick prototype and evaluation AI/ML solutions aligned with business objectives. Stay current with emerging trends in AI, and machine learning and help implement best practices within the team. Mentor and support junior engineers, fostering a culture of learning and technical excellence. Manage unstructured data and generate embeddings that can further be leveraged into AI products. What ideal qualifications, skills & experience would help someone to be successful? Bachelors or master’s degree in computer science, data science, engineering, or a related field from a premium institute. 7+ years of experience in engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role. Strong understanding with data pipelines, Snowflake ecosystem and master data management. Proficiency in Python. Experience working with unstructured data, large language models (LLMs), embeddings, and building generative AI prototypes. Self-starter with a passion for learning new tools and technologies. Strong communication skills and a collaborative, ownership-driven mindset. Work Shift Timings - 2:00 PM - 11:00 PM IST

About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? ? ? Key Responsibilities Model Deployment & TestingDeploy AI/ML models to development and production environments, ensuring functionality and performance. Model OptimizationEvaluate and size models appropriately to optimize performance and resource utilization. Custom Framework DevelopmentBuild custom frameworks for models that are not supported by existing deployment frameworks. Error Debugging & MonitoringIdentify and troubleshoot 4xx/5xx errors using Splunk and database logs. Performance MonitoringUtilize Grafana to monitor GPU usage, serving metrics, and request processing performance. Customer SupportCollaborate with customers to resolve serving and latency issues. CI/CD & Kubernetes: o Develop and manage CI/CD pipelines for automated deployments. o Deploy models in Kubernetes environments. Storage & InfrastructureCreate and manage Persistent Volume Claims (PVCs) for efficient storage management. Microservices ArchitectureWork within a microservices-based environment, ensuring seamless integration and scalability. Automation & Framework DevelopmentAutomate processes and develop new frameworks to improve deployment efficiency. Performance TestingConduct performance testing to ensure models meet latency and throughput requirements. Team Leadership & Individual ContributionCapable of leading a team while also working independently on critical tasks. Mandatory Skills Python, APIs, AI/ML, CI/CD and Kubernetes ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Python for Data Science. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business. ? Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per product’s requirements Review the used case and see the latest AI that can be used in product’s development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in product’s demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team ? Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external) ? ? Mandatory Skills: AI Cognitive. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Role & responsibilities Training the candidates on Articial Intelligence.

Key Responsibilities: AI Solution Development: Design and implementation of scalable AI/ML systems, from concept to deployment, ensuring alignment with business goals. Deployment and Integration: Manage the full lifecycle of AI solutions, including testing, deployment, and integration into production environments. Code Quality & Performance: Conduct code reviews and optimize system performance to ensure high-quality, maintainable solutions. Cross-Functional Collaboration: Work with product managers, engineers, and stakeholders to deliver AI solutions that meet business needs. Team Leadership: Mentor junior developers, fostering a culture of innovation and continuous learning within the team. Continuous Improvement: Stay updated on AI trends and technologies, applying best practices to improve system architecture and development processes. Required Skills & Qualifications: Experience: 3+ years in AI/ML development, with a proven track record of deploying scalable AI systems. Technical Expertise: Proficient in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Experience with cloud platforms (AWS, Google Cloud, Azure) for AI deployment. Familiar with containerization (Docker) and CI/CD pipelines. Strong skills in Git, version control, and debugging. Leadership experience, including code review. Good to Have Skills: Big Data: Experience with distributed systems (Hadoop, Spark). Interest or experience in cutting-edge AI research or specific areas like NLP or computer vision. Project Management: Familiarity with Agile/Scrum and tools like Jira or Azure DevOps, etc.

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

About The Role : Job TitleSenior Engineer, AVP LocationPune, India Role Description We are seeking a Data Security Engineer to design, implement and manage security measures that protect sensitive data across our organization. This role focusses on the execution and delivery of Data Security solutions, focusing on configuration, engineering, and integration within a complex enterprise environment. While the role operates within Cybersecurity the person will collaborate with IT, Risk Management, and Business Units on a case-by-case basis, delving Data Loss prevention solutions. The ideal candidate understands and manages the existing tool stack within a complex environment, navigates through technical integration challenges and supports the transition from legacy solutions to new solutions within the pillar and across different areas of the bank. This role will work on specific tools like Symantec DLP, Zscaler but require the flexibility to evaluate and integrate new solutions like PaloAlto, Fortinet, Microsoft Purview and capabilities in existing cloud security solutions like Azure/GCP. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Policy Development and ImplementationDesign and implement data loss prevention policies, standards, and procedures to protect sensitive data from unauthorized access and disclosure. Risk AssessmentConduct regular assessments of our implementation to identify vulnerabilities and potential threats to the organization's data. Develop strategies to mitigate identified risks. DLP SolutionsEvaluate, deploy, and manage DLP solutions and technologies. Ensure that these tools are effectively integrated and configured to protect sensitive data across the organization. Monitoring and AnalysisMonitor data movement and usage to detect and respond to potential data breaches or policy violations. Analyse incidents to identify root causes and develop corrective actions. CollaborationWork with IT, legal, and business teams to ensure that DLP measures align with organizational goals and regulatory requirements. Provide guidance and support to stakeholders on data protection issues. Design and Implement data security frameworks, including encryption, tokenization and anonymization techniques within a hybrid environment Implement cloud-native security controls (e.g., CASB, CSPM, DSPM ) to protect data in SaaS, IaaS, and PaaS environments. Implement Digital Rights Management, encryption and tokenization strategies and solutions to protect data in hybrid environments and prevent unauthorized access and disclosure. Deploy and manage data discovery & classification tools to identify sensitive data across structured and unstructured sources. Implement automated classification and labeling strategies for compliance and risk reduction. Your skills and experience Technical Expertise 5+ years of hands-on experience in Data Security, Information Protection, or Cloud Security. Strong expertise in delivering Data Security platforms (Symantec, Netskope, Zscaler, PaloAlto, Fortinet, etc.). Knowledge of Cloud Service Provisioning and experience with Cloud Security (AWS, Azure, GCP) and SaaS data protection solutions. Experience with Cloud Security (CASB), SaaS Security Posture Management (SSPM), Data Security Posture Management (DSPM). Proficiency in network security, endpoint protection, and identity & access management (IAM). Scripting knowledge (Python, PowerShell, APIs) for security automation are a plus. Hands-on experience with AI/ML and data security related remediations are a plus. Soft Skills & Collaboration Strong problem-solving and analytical skills to assess security threats and data exposure risks. Ability to work cross-functionally with Security, IT, and Risk teams. Effective written and verbal communication skills, especially when documenting security configurations and investigations. Professional certifications such as CISSP, CISM, CCSP, GIAC (GCIH, GCFA), or CEH. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Role Expectations: Lead enterprise solution architecture and define how Adobe Experience Cloud products integrate with other platforms. Own the solution blueprint, ensuring alignment with industry best practices and business objectives. Provide technical leadership in Adobe Experience Cloud solutions, including AEM, AEP, Workfront, Analytics, Target, CJA, AJO, and Edge Delivery. Conduct discovery workshops, gather business requirements, and develop scalable architecture for Adobe implementations. Guide development teams with hands-on technical expertise and ensure best practices in implementation, code quality, and performance tuning. Lead integration efforts between Adobe Experience Cloud and third-party solutions such as eCommerce, CDPs, CRMs, AI/ML platforms, and legacy systems. Support RFP solutioning, preparing delivery estimations, staffing plans, technical architecture decks, and scope documents for client engagements. Act as a trusted advisor for clients, handling technical presentations, client visits, and strategic roadmaps for Adobe adoption. Mentor and grow internal teams, fostering Adobe SME expertise across AEM, AEP, and other Adobe products. Oversee DevOps practices, including CI/CD pipelines, cloud automation, and performance optimization for Adobe solutions. Ensure compliance with data privacy laws (GDPR, CCPA) and enterprise security policies Must Have Deep expertise in Adobe Experience Cloud: AEM (Sites, DAM, Edge), Workfront, Adobe Analytics, Adobe Target, AEP RTCDP, CJA, AJO. System integration & API management: Strong experience integrating Adobe solutions with third-party platforms (eCommerce, CRM, AI/ML, DAM, CDPs). Cloud & Headless CMS knowledge: Familiarity with Drupal, Sitecore, Contentful, and headless content delivery strategies. Enterprise authentication & security: OAuth, SAML, SSO, LDAP integration. Multi-solution orchestration: Ability to design personalized customer journeys across online and offline channels using Adobe Journey Optimizer (AJO) & AEP. Experience migration: Large-scale content migration from other CMS platforms to AEM as a Cloud Service (AEMaaCS). Omnichannel content delivery: Strong experience with AEM Edge Delivery, Content & Experience Fragments, and headless content APIs. DevOps & automation: CI/CD pipelines using Adobe Cloud Manager, Jenkins, Maven etc. Solutioning & stakeholder management: Ability to present solutions to clients, handle RFPs, and drive technical discussions. Strong troubleshooting skills for resolving Workfront and Fusion-related issues Nice to Have Experience in AI-powered content optimization (Adobe Sensei, AI/ML-driven personalization). Hands-on expertise in RESTful APIs, GraphQL, Adobe I/O Runtime & SDKs. Knowledge of front-end frameworks such as React, Angular, Vue.js for AEM implementations. Experience with Adobe GenStudio, Smart Tagging, and Scene7 for asset management. Understanding of AEM Forms and automation workflows. Hands-on Adobe Campaign Classic (ACC) & Standard (ACS) integration experience. Experience 12+ years of experience in digital experience architecture and enterprise integration. Proven track record of leading large-scale Adobe Experience Cloud implementations. Experience with multiple CMS migrations (Drupal, Sitecore, Contentful AEM). Delivered at least 5+ AEM implementations and 3+ multi-solution Adobe Experience Cloud integrations. Led RFP solutioning, client workshops, and technical pre-sales discussions for Adobe projects. Certifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Adobe Certified Expert / Master Architect in AEM, AEP, Analytics, Workfront or Target.

The Senior Full Stack Python Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. This role requires: Deep understanding of Python programming and familiarity with additional languages like Java and .NET. Extensive knowledge of NoSQL and SQL databases, with significant experience in Microsoft Azure, particularly Cosmos DB. Comprehensive understanding of microservices architecture and best practices in software development. Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Full-stack development capabilities, including front-end UI/UX development using React. Roles and Responsibilities Design, develop, and maintain high-quality Python applications. Demonstrate expertise in working with both NoSQL and SQL databases. Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. Operate within Agile teams, applying Agile methodologies. Enhance user experience by creating intuitive user interfaces from Figma mockups.

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Role & responsibilities Deliver engaging and hands-on training sessions for students/professionals. Design and update course materials, lesson plans, and assessments. Provide real-world examples and case studies to enhance learning. Guide participants through practical exercises, coding challenges, and projects. Evaluate student performance and provide constructive feedback. Stay updated with the latest industry trends and incorporate them into training. Conduct guest lectures, boot camps, or hackathons as required. Preferred candidate profile Strong expertise in AIML with hands-on experience. Prior experience in corporate or academic training is preferred. Excellent presentation, communication, and mentoring skills. Familiarity with online coding platforms like LeetCode, CodeChef, HackerEarth. Knowledge of industry best practices and real-world applications. Bachelors/Masters degree in relevant field or equivalent professional experience. Certifications in relevant technologies are a plus. Interested candidates can share their profile at neha.agarwal@xebia.com.

Experience in AI/ ML, Microsoft Power Platform, Python, SQL, Implementation and Architecture designing. Any experience in working with Data Analytics tools like Power BI, Spotfire etc. Email id- ta6@nippondata.com

Experts from engineering, AI/ML, product management and delivery in a multi- disciplinary squad, building business critical applications for bp's production & operations business. As a Software Engineer, you will be responsible for building, maintaining and fixing the software and services that powers our technology solutions Capable in at least one programming language (C#, Python, or TypeScript) developing cross-platform solutions. Capable in writing secure, stable, testable, and maintainable code with minimal defects Demonstrable professional software development experience Capable in software engineering practices & standard processes for full SDLC, including coding standards, code reviews, source control management, continuous deployments, testing, and operations Capable in building and scaling infrastructure services using Microsoft Azure

Must have: Python programming, Frameworks Good to Have: AI exposure, Cloud, AirFlow Solid coding skills in Python , Pandas, Numpy, Airflow ,scikit-learn, TensorFlow/PyTorch, and web frameworks like Flask Ability to integrate generative models into production environments and optimize their performance Proficient in using frameworks such as TensorFlow, PyTorch, and Keras for building and training generative models. Familiarity with Java, cloud technologies, and DevOps tools such as Jenkins, Kubernetes, and GitHub Actions is a plus Solid individual contributor with expertise in NLP, AI, and ML Good knowledge of front-end tools such as HTML, CSS, JavaScript, and Angular Skilled in creating synthetic data and enhancing data quality using generative techniques. Expertise in applying generative AI for various applications, including image synthesis, text generation, and style transfer Well versed in Data Structures & Algorithms

Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW

Location: Remote Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the FinancialServices Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years. We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains Bachelor's or Master's degree in Computer Science, AI, or a related field. Strong proficiency in Python and familiarity with relevant libraries and frameworks (NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, etc.). Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch, with a focus on NLP applications. Familiarity with cloud platforms (e.g., Azure, Google Cloud) Experience with Django, Flask, or similar web frameworks for API development. Proficiency in SQL for data manipulation and analysis. Strong communication skills and ability to collaborate effectively in a cross-functional team environment. Experience with telecom integrations (e.g., Avaya, Twilio) would be advantageous. Develop and implement enterprise solutions for document processing, utilizing cutting-edge technologies like large language models and generative AI. Handson working with Azure Services, Large Language Models like GPT3.5-Turbo, GPT-4 etc

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking a highly skilled and experienced Principal AI Solution Architect to join our dynamic team. The candidate will lead the AI Solutioning and Designing across Enterprise Teams and cross-functional teams. They will primarily be working with the MDM CoE to lead and drive AI solutions and optimizations and also provide thought leadership. The role involves developing and implementing AI strategies, collaborating with cross-functional teams, and ensuring the scalability, reliability, and performance of AI solutions. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledg . Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities Lead the Designing, solutioning and development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face. Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience Master’s degree with 11 - 1 4 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor’s degree with 1 5 - 16 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 1 7 - 1 8 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 1 4 + years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain , Autogen , Hugging Face, OpenAI APIs, and embedding models. Expertise in AI/ML solution architecture and design , knowledge of industry best practices Experience desining GenAI based solutions using Databricks platform Hands-on experience with Python, PySpark , PyTorch , LLMs, Vector DB, Embeddings, SciKit , Langchain , SK-learn, Tensorflow , APIs, Autogen , VectorStores , MongoDB, DataBricks , Django Strong knowledge of AWS and cloud-based AI infrastructure Excellent problem-solving skills Strong communication and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders Experience in managing and mentoring junior team members Must be able to p rovide thought leadership to the junior team members Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores , and modern architecture principles for scalable GenAI applications. Professional Certifications Any Data Analysis certification (SQL , Python, Other DBs or Programming languages ) Any cloud certification (AWS or AZURE) Data Science and ML Certification s Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. What you will do Let’s do this. Let’s change the world. In this vital role We are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer – Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. . Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake). Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication. Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure. Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery. Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need . Basic Qualifications: Degree in computer science & engineering preferred with 9-12 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS). Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA. Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases). Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect from us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Title: Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Location: Chennai / Pune / Noida / Bangalore / Hyderabad About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting . This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture , and digital transformation consulting . You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications . Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines . Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP . Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows . Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering , to align AI solutions with business goals. Provide technical leadership in IT strategy for startups , advising on AI adoption, cloud transformation , and scalable product architectures . Lead and manage the pre-sales team for digital transformation projects , working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership , establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions . Strong background in DevOps, CI/CD , and cloud-native architectures (Azure, AWS, GCP) . Experience in designing and deploying secure, scalable, and cost-optimized data platforms . Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation . Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains ; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives , and building secure authentication flows using OAuth2, SAML2 , and social logins . Expertise in integrating complex systems using ETL pipelines, Queuing solutions , and Enterprise Integration products . Demonstrated ability to balance strategic oversight with hands-on technical execution . Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation , helping you grow in both technical and leadership dimensions . At MSys Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder , we’d love to connect!

Job Description: AI/ML Developer Location: Nagpur Company: HSM Edifice Construction Services Experience: 3+ Years Job Type: Full-time About Us: HSM Edifice Construction Services is a leader in the construction industry, known for its innovative solutions and commitment to excellence. We are seeking an experienced and passionate AI/ML Developer to join our team and contribute to the development of intelligent systems that enhance our construction services and streamline operations. Key Responsibilities: Design, develop, and deploy machine learning models and AI-driven applications tailored for the construction industry. Analyze large datasets to extract meaningful insights and drive data-driven decision-making. Build predictive models for project forecasting, risk analysis, and resource optimization. Implement deep learning and machine learning algorithms for computer vision. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Continuously monitor and optimize AI models for performance, scalability, and accuracy. Document and maintain code, algorithms, and project details for future reference. Research and stay updated on the latest advancements in AI/ML technologies and best practices. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field. Minimum of 3 years of experience in AI/ML development. Proficiency in programming languages such as Python, R, or JavaScript . Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-Learn . Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Strong understanding of computer vision, OCR. Knowledge of cloud platforms like AWS, Google Cloud, or Azure for model deployment. Excellent problem-solving skills and ability to work in a team-oriented environment. Strong communication skills for effective collaboration with technical and non-technical stakeholders. Preferred Skills: Experience with Big Data technologies such as Hadoop or Spark. Knowledge of construction domain-specific applications of AI/ML. Exposure to IoT, edge computing, and real-time analytics . Understanding of DevOps practices for continuous integration and deployment. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. Collaborative and innovative work environment. Exposure to cutting-edge AI/ML projects in the construction domain. If you are passionate about leveraging AI to revolutionize the construction industry, apply now to join our team at HSM Edifice Construction Services. Drop your resume at hr@hsmedifice.com

Solution Architect Exp: 8-12 Years Location: Chennai(Preferred)/Hyderabad Organization: Intellect Design Arena - Product Organization ------------------------------------------------------------------------------------------------------------------------------------------------------------ As a Solution Architect, you will be at the forefront of designing and implementing advanced AI-driven solutions that address the complex needs of our clients. Collaborating closely with our engineering, product, and business teams, you will guide deployment efforts, ensure seamless integration within client environments, and craft sustainable, scalable system architectures. You will also play a key role in setting the strategic direction of our customer engagements, providing technical leadership, and driving innovation in the application of our Gen AI platform. We are looking for a professional with a strong grasp of system architecture, particularly in the AI and machine learning domains, who can combine technical insight with a deep understanding of client needs. In this role, you will advise our product teams on design considerations, compliance with regulatory requirements, and adaptability to various operational environments. Your expertise will help bridge the gap between technical vision and real-world implementation, ensuring that our solutions meet both current and future needs. Successful candidates will have backgrounds as Software Architects, AI Solution Architects, or Enterprise Architects, particularly in cloud-based or distributed systems. You will become an expert in our Gen AI platform, understanding both its capabilities and the governance and security requirements of our clients. You will independently manage complex challenges while maintaining a collaborative approach, working closely with internal teams to deliver comprehensive, secure, and innovative solutions. Key Responsibilities: Lead the design and architecture of AI-focused technical solutions, factoring in security, scalability, network requirements, and resource optimization. Act as a primary technical advisor to clients, providing expert guidance on the architecture and secure deployment of our Gen AI solutions. Influence the development of our product roadmap, aligning it with compliance needs and emerging trends in AI, cloud, and security technologies. Produce detailed architectural documentation, visual diagrams, and technical specifications to support deployment and client understanding. Provide mentorship and technical direction to deployment teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full lifecycle of AI model development and deployment, including data processing, model training, and real-time inference. Strong understanding of information security principles, including encryption, identity management, network protection, and security monitoring. Expertise in modern software development, continuous integration, continuous delivery (CI/CD), and infrastructure as code. Solid grasp of networking protocols and operating system fundamentals, with the ability to troubleshoot and optimize complex environments. Ability to navigate ambiguous, high-stakes technical problems independently while working effectively with cross-functional teams. Proven client-facing skills, capable of translating complex technical concepts into clear, actionable insights for business stakeholders. 5+ years of relevant industry experience in roles requiring a blend of technical depth and architecture leadership. Familiarity with Kubernetes, container orchestration, and microservices architectures is a plus. Interested folks can reach out to bicky.nath@intellectdesign.com

Job Description HR/TA/JD/0125 GL Bajaj (Institute of Technology & Mgmt.) A Glimpse! Passionate education provider in multi disciplines at undergraduate and postgraduate level (B.Tech, MBA, MCA) Vibrant Learning Ecosystem on the campus, has inspired and brilliant students. GL Bajaj Group was incepted in year 1997 , carrying a winning legacy of 12 institutions running diverse higher education programs. GL Bajaj Group, has +14,000 students, +800 faculty members , 12 institutions, and 6 campuses with +300 acres of land. NAAC A+ accredited, 4 stars from Ministry of Education, NIRF rank holder, Research & Incubation centre, Entrepreneurship development and top quality placement for students Vision to give globally competent & socially sensitive professionals to the society. Highly inquisitive students who take risks, experiment, and put novel ideas into action. Sharpens the Technical as well as Life Skills of students Developing young leaders. Have world class collaborative LEARNING infrastructure for teaching & learning practices. Hiring Distinguished faculty members from the Institutes of repute . We nurture versatile INTRAPRENEURs . Our core belief is in nurturing Diverse, inclusive, equity knowledge gems Hi Tech Campus has a beautiful , serene environment & students enjoy learning. Believes in relentless change and desire to improve . We are looking for passionate researchers/out of box thinkers/academicians who have a go-getter attitude, have fire to innovate , works with technology driven progressive mindset and execute the concept of sustainability in each task ( paperless ) in learning process delivery. We are offering to the right candidate an excellent compensation package along with the tools and the environment to foster intellect and new ideas. If you want to CONTRIBUTE meaningful to the society at large, join us & Find your SPARK! ABOUT JOB Designation: Professor for CSE and allied courses AI/AIML/DS-Data Science/IT Job Purpose & Role: To teach, research and serve for academic, institutional & students growth & development. Work Information C.1 Research To lead and coordinate research activity in the subject area. To publish the outcomes of research , with a record of securing publications in internationally rated journals of high standing . To publish research disseminated in scholastic or professional practice publications. To have proven experience of securing significant external funding from prestigious funders and a record of successfully leading and managing research projects , people and resources. To foster an environment which encourages research among students at undergraduate and graduate level. To lead research initiatives with colleagues and a wide range of external collaborators including internationally funded research projects as appropriate. To do quality research, have good academic record and books/research paper publications/IPR/patents record. To promote and represent the GL Bajaj at National & International level to facilitate in branding. To manage research and other collaborative partnerships with other Institutions and external bodies. To continue to build on an established record of invited international keynote conference presentations and prestige lectures. To enhance the GL Bajajs reputation with professional/scholarly bodies e.g. by promoting public understanding of the subject. C.2 Learning & Teaching To have strong command on subject knowledge of Computer Science & Allied Courses ( Core CSE /AI/AIML/Data Science/IT). To teach undergraduate and postgraduate students, and to carry out the associated examining processes. To apply and promote best teaching practice , demonstrating continuous professional development and critical reflective practice. To use and promote the use of a range of methods and techniques in teaching, learning and assessment including pursuing digital and modern methods of delivery . Have an ability to stay abreast on the latest trends and development in the subject area. Proven experience of excellent delivery of the subject for the students and achieve the best results /awards/positions in the affiliated university ( AKTU Abdul Kalam Technical University). To fulfill responsibility concerning students in respect of instruction, progress, and examination. To lead the development and clarification of academic standards and quality for the subject area. To work with the leadership team to lead the development & implementation of student learning strategy & innovative assessment methods Meaningfully engaging students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To conduct courses as per syllabus and ordinance issued by the AKTU university from time to time. To provide an opportunity to students to work on live projects. To connect industry with academia for providing hands on experience leading to skill development of students. To guide junior faculty members to prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students C.3 GL Bajajs Citizenship and Ownership of Responsibilities To participate in continuing professional development e.g. through seminars or conferences and by engaging in training programmes run by the Institution which are consistent with the needs and aspirations of the academics. To support, mentor and facilitate seminars, training activities, cross-departmental activities and events and Ceremonies etc. To demonstrate the GL Bajajs values through own actions and behaviour . To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post. To engage in continuous personal and professional development in line with the demands of the role, including undertaking relevant training and development activities to develop themselves and support the development of others. To ensure Quality (NBA, ISO, NAAC) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids , Laboratory facilities To ensure and promote the personal health, safety and wellbeing of staff and students. To carry out duties in a way which promotes fairness in all matters , and which engenders trust. APTITUDE & SKILLs D.1 Ability to Manage and Nurture: Innovative Learning and Teaching Academic Development Academic domain knowledge National (UGC/NBA/NAAC etc.)/International Sustainable Research & Departmental Resources Foster Departmental Performance Facilitate in developing Strategic Plans Ability to lead the development and implementation of research strategy and/or teaching. Ability to lead on the design and development of the curriculum. Highly developed communication and presentation skills to present research findings at national and international conferences Ability to harness IT as a research and teaching tool A willingness to undertake further training as appropriate and to adopt new procedures as and when required D.2 Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia Qualification & Years of Experience as per AICTE/UGC norms: B.E./B.Tech/B.S. & M.E./M.Tech/M.S. & PhD IT/CSE subjects from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc etc. and throughout first class. PhD Degree in subject from the Top Tier Institutes & reputed university 10+ years of experience in teaching/ research out of which 3 years at Associate Professor At least 6 research publications at the level of Associate Professor in SCI journals / UGC / AICTE approved list of journals and guided 2 PhD students as Supervisor / Co-supervisor is highly desirable. OR At least 10 research publications at the level of Associate Professor in SCI journals / UGC / AICTE approved list of journals Industry & Global Experience is desirable. Salary as per norms Location: Greater Noida, Delhi/NCR Apply for the position by sending your CV on careers@glbitm.ac.in Visit our websites career page at www.glbitm.org