NVIDIA is searching for a highly motivated software engineer for the NVIDIA NetQ team that is building a next gen Network management and Telemetry system in cloud using modern design principles at internet scale. NVIDIA NetQ is a highly scalable, modern network operations toolset that provides visibility, troubleshooting, and validation of your Cumulus fabrics in real time. NetQ utilizes telemetry and delivers actionable insights about the health of your data center network, integrating the fabric into your DevOps ecosystem. What youll be doing: Building and maintaining infrastructure components like NoSQL DB (Cassandra, Mongo), TSDB, Kafka etc Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks. Managing tools and enabling automations for redundant manual workflows via Jenkins, Ansible, Terraforms etc Enable performing scans and handling of security CVEs for infrastructure components Enable triage and handling of production issues to improve system reliability and servicing for customers What we need to see: 5+ years of experience in complex microservices based architectures and Bachelors degree. Highly skilled in Kubernetes and Docker/containerd. Experienced with modern deployment architecture for non-disruptive cloud operations including blue green and canary rollouts. Automation expert with hands on skills in frameworks like Ansible & Terraform. Strong knowledge of NoSQL DB (preferably Cassandra), Kafka/Kafka Streams and Nginx. Expert in AWS, Azure or GCP. Having good programming background in languages like Scala or Python. Knows best practices and discipline of managing a highly available and secure production infrastructure. Ways to stand out from the crowd: Experience with APM tools like Dynatrace, Datadog, AppDynamics, New Relic, etc. Skills in Linux/Unix Administration. Experience with Prometheus/Grafana. Implemented highly scalable log aggregation systems in past using ELK stack or similar. Implemented robust metrics collection and alerting infrastructure. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If youre creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As a Software Engineer III at JPMorgan Chase within the Employee Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience in ServiceNow application Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

You are a strategic thinker passionate about driving solutions in Business Governance and Project Management. You have found the right team. As a Project Management & Governance - Cash Operations Associate within our team, you will be a strategic thinker passionate about promoting solutions in Business Governance and Project Management. You will promote structure and discipline around business governance, supporting the business and becoming a key partner focusing on the group s strategic agenda, business strategy, planning, communication, and governance. You will be responsible for delivering governance for the business and high impact ops excellence (non-technology) projects. Job Responsibilities Lead initiatives/projects to resolve diverse problems identified by Cash Ops leadership, from initiation through implementation including value added analytics, communication and reporting (scorecards/dashboards and executive level reporting) Implement the project structure and governance required to deliver on the agreed strategy, Management of project plan (scope, stakeholders, risks and issues, timeline, etc). Lead and be the catalyst for change as requirements/priorities shift progress from planning to execution Drives collaborative initiatives with team members and global partners, looking for ways to continually simplify, improve, and add value to existing business processes Drives agenda, content and preparation of business reviews and other executive leadership presentations to articulate strategic direction, execution, and performance tracking for internal stakeholders and functional partners Help drive group s People initiatives focused on Diversity, Equity & Inclusion, Recruiting, Manager Excellence, Skills of the Future, and Employee Recognition Involve in initiatives including Data & Analytics, Intelligent Automation, Artificial Intelligence, Digital Transformation, Business Taxonomy, etc Provides a high level of responsiveness to executive ad-hoc requests related to project management, presentation development, and business analysis Manages Strategic Business Communications, including Town Halls, Video messages, yearend messages and organization announcements Required qualifications, capabilities, and skills Minimum 7+ years Payments/banking/financial services experience. Prior Project management and business management experience. Proven Project Management, planning and organizational skills with the ability to prioritize workloads and manage multiple deliverable/projects simultaneously. Ability to challenge organization and understand ways of working; ability to interpret and present complex data. Deep execution experience with a demonstrated ability to meet and enforce deadlines. Organize complex information in a strategic and compelling way, demonstrating strong design acumen and expertise in Microsoft PowerPoint techniques.

As a AI Developer specializing in Chatbots, you will be instrumental in designing, building, and deploying sophisticated conversational AI solutions. You will work across the entire AI lifecycle, from research and prototyping to production deployment and MLOps, with a particular focus on leveraging LLMs, RAG techniques, and agentic workflows to create intelligent and highly performant chatbots. Your expertise will directly contribute to enhancing customer interactions, automating processes, and delivering innovative AI-driven experiences. Key Responsibilities: Lead the design, development, and deployment of end-to-end AI solutions, with a significant emphasis on advanced chatbot systems, using LLMs (e.g., Llama-3, OpenAI, Gemini), LangChain, and LangGraph. Architect and implement sophisticated agentic AI workflows to enable multi-step reasoning, tool utilization, and autonomous task execution for complex business processes within chatbot applications. Develop and optimize scalable Retrieval-Augmented Generation (RAG) pipelines for real-time, context-rich information retrieval in conversational AI, utilizing vector databases like FAISS, Weaviate, and Pinecone. Build and containerize robust backend services for AI applications and chatbots using frameworks like FastAPI and Docker, ensuring seamless deployment on cloud platforms (AWS/GCP) through CI/CD pipelines. Integrate and manage comprehensive MLOps workflows for model versioning, performance monitoring, automated retraining, and continuous integration/continuous deployment (CI/CD) specifically for chatbot models (e.g., using MLflow, Airflow, Kubeflow). Fine-tune and optimize pre-trained LLMs and deep learning models (e.g., BERT, LSTM) for domain-specific text generation, sentiment analysis, text classification, Named Entity Recognition (NER), and contextual intent detection in chatbot contexts. Collaborate with cross-functional teams (product managers, UI/UX designers, data engineers) to translate business requirements into technical specifications for AI-driven features and chatbot functionalities. Stay abreast of the latest advancements in AI, NLP, LLMs, and conversational AI, continuously evaluating and implementing new technologies to improve our solutions. Mentor junior developers and contribute to best practices in AI development and MLOps. Perks and benefits: PF Insurance Contact Details: Deepanshi Jain (HR): 9717632996

Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. Your key responsibilities Support the design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 1-3 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the banks products and services, including those related to corporate banking, investment banking, private banking, and asset management.

Total Experience 0-2 years Education: Bachelors degree in computer science, Data Science, or related field, or equivalent practical experience Location Hyderabad/Bangalore/Pune, India Primary Skills: AI & Machine Learning: Basic understanding of AI concepts and machine learning fundamentals, Familiarity with Large Language Models (LLMs) and Prompt engineering concepts, Interest in AI Agents, and frameworks like LangChain or Crew AI, Basic knowledge of Python ML libraries (e.g., scikit-learn, NumPy, Pandas) Programming: Working knowledge of Python for AI/ML implementation Version Control: Git, GitHub workflow Cloud: Basic understanding of cloud concepts for AI/ML workloads (GCP/AWS or Azure) Frameworks: Knowledge of at least one backend framework (Django, Flask, FastAPI) Data Handling: Basic experience with data processing and analysis Key Responsibilities: Assist in developing and maintaining AI components under the guidance of senior engineers Help implement LLM-based features and basic AI Agents using established frameworks. Learn about prompt engineering and LLM fine-tuning techniques. Support data preparation, cleaning, and preprocessing for AI models. Assist with model testing, evaluation, and basic performance analysis. Document AI implementation details and contribute to technical documentation. Participate in code reviews to improve code quality and learn from feedback. Help troubleshoot issues in AI pipelines and implementations. Collaborate with cross-functional teams to understand AI implementation requirements. Stay up to date with emerging AI technologies and methodologies. Qualifications: Basic understanding of machine learning concepts and AI fundamentals Working knowledge of Python programming and data manipulation libraries Familiarity with or strong interest in Large Language Models and generative AI Understanding of software development practices and version control systems Knowledge of basic data structures and algorithms Strong problem-solving skills and analytical thinking Eagerness to learn new AI technologies and approaches. Good communication skills and ability to work in a team environment. Ability to understand and implement guidance from senior AI engineers Experience with any AI/ML projects (academic, personal, or internship) is an added advantage. Degree in Computer Science, Data Science In addition to this, we would also like to hire one mid-level engineer. I have attached the JD for your reference.

Name List Screening and Transaction Screening Model Strats, AS Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. Your key responsibilities Support the design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 1-3 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the banks products and services, including those related to corporate banking, investment banking, private banking, and asset management

Job Description: Data Science Trainer Position: Data Science Trainer Experience: 1.5+ years as a Data Science Trainer (or in a teaching/mentoring role in Data Science) Qualification: Bachelors/Masters in Data Science, Computer Science, Statistics, Mathematics, or related fields (or equivalent industry experience) Job Description: Data Science Trainer Excellent communication, presentation, and problem-solving skills. Certification in Data Science/AI/ML (preferred but not mandatory). Preferred Skills: Experience with Big Data tools (Hadoop, Spark, SQL databases). Familiarity with ML deployment (Flask, FastAPI, Docker). Knowledge of Generative AI (LLMs like ChatGPT, LangChain, RAG). Job Summary: We are looking for a passionate Data Science Trainer with 1.5+ years of training experience to educate students/professionals in Python, Machine Learning, Statistics, and Data Analysis. The ideal candidate should have strong technical expertise and the ability to simplify complex concepts for learners. Key Responsibilities: Deliver training sessions (online/offline) on Data Science, ML, and AI concepts. Teach Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and Data Visualization (Matplotlib, Seaborn, Tableau, Power BI). Cover Statistics, EDA, Regression, Classification, Clustering, NLP, and Deep Learning basics. Develop hands-on exercises, real-world projects, and case studies. Guide students on data preprocessing, model building, and deployment. Stay updated with latest trends in AI/ML (LLMs, GenAI, AutoML, etc.). Assess learners through assignments, quizzes, and capstone projects. Assist in updating curriculum with industry-relevant tools & techniques. Required Skills & Qualifications: 1.5+ years as a Data Science Trainer (or in teaching/mentoring roles). Strong expertise in: Python, SQL, and Data Science libraries (Pandas, NumPy, Scikit-learn). Machine Learning (Supervised & Unsupervised Learning). Data Visualization (Matplotlib, Seaborn, Tableau, Power BI). Knowledge of Deep Learning (TensorFlow/Keras/PyTorch) & NLP (optional but preferred). Experience with Jupyter Notebooks, Google Colab, and cloud platforms (AWS/GCP/Azure).

Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. Your key responsibilities Support the design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 13 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the banks products and services, including those related to corporate banking, investment banking, private banking, and asset management

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Job Description: AI Engineering Manager / AI Project Manager Position Overview: We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI solutions, ensuring alignment with organisational goals. Manage AI projects from inception to completion, coordinating cross- functional teams and resources effectively. Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis. Mentor and guide team members, fostering a collaborative and innovative work environment. Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications: Proven experience in managing AI projects and teams. Strong knowledge of deep learning architectures such as CNNs and Transformers. Prior experience in the medical image analysis field is preferred. Proficiency in programming languages including Python, C, and C++. Experience in people management and team leadership. Preferred Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). Excellent communication skills and the ability to work collaboratively across teams. Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred.

Cogito is currently working on Artificial Intelligence applications in Annotation work and is looking to engage with " CAD Specialist " to participate in projects. Total Openings: 150 Required Skills: - AutoCAD, Autodesk, Solidworks, Blender, VFX and graphic design - Ability to work on repetitive tasks efficiently and effectively with minimal errors - Excellent communication, analytical, and with good reasoning skills - Possess high motivation with the desire to learn - Good understanding of spoken and written English Language - Excellent team player mentality, collaborative in nature, attention to detail, and proven ability to manage priorities. Gender: Male/Female CTC: Rs, 20,000 TO 25,000 PM NOTE: Freshers are eligible. Direct Walk in Interview dates: 17th-21st June 2025 Interview Time: 10:00 am to 4:00 pm Interview Venue - Cogito (AnoLytics) C-40, C Block Sector- 59 Noida-UP- 201307 Old Landmark: R Systems (Red Building) Contact @ HR Department (Basement Area) ----- Regards Team HR

Cogito is currently working on Artificial Intelligence applications in Annotation work and is looking to engage with " CAD Specialist " to participate in projects. Total Openings: 150 Job Type: Internship (4-6 months) Required Skills: - AutoCAD, Autodesk, Solidworks, Blender, VFX and graphic design - Ability to work on repetitive tasks efficiently and effectively with minimal errors - Excellent communication, analytical, and with good reasoning skills - Possess high motivation with the desire to learn - Good understanding of spoken and written English Language - Excellent team player mentality, collaborative in nature, attention to detail, and proven ability to manage priorities. Gender: Male/Female CTC: Rs, 20,000 TO 25,000 PM NOTE: Freshers are eligible. Direct Walk in Interview dates: 19th-21st June 2025 Interview Time: 9:00 am to 2:00 pm Interview Venue - Cogito (AnoLytics) A-83, Sector-2 Noida-UP Contact @ HR Department (Basement Area) ----- Regards Team HR

Job Summary: We are seeking a highly skilled and creative AI ML Engineer with deep expertise in artificial intelligence, natural language processing, and prompt design for large language models (LLMs). This role is crucial in crafting, optimizing, and scaling interactions with advanced AI systems to improve performance, user experience, and business outcomes across various applications. --- Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct rigorous experimentation and benchmarking of prompts and AI outputs for accuracy, safety, and usability. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay current with advancements in generative AI, NLP, and prompt engineering techniques. Contribute to building internal documentation, style guides, and prompt libraries. --- Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Linguistics, or a related field (PhD a plus). 2+ years of experience working with LLMs, AI systems, or NLP frameworks. Strong understanding of transformer models, prompt engineering, and zero/few-shot learning. Must have experience with Prompt response and design Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Proficiency in Python and use of AI libraries (LangChain, LlamaIndex, etc.). Excellent writing skills and a sensitivity to language nuance, tone, and context. Analytical thinker with a structured approach to testing and evaluation. ---

Role & responsibilities Strong understanding of machine learning principles Familiarity with deep learning concepts and frameworks Development, training, deployment and fine tuning of large language models Azure Open AI, Prompt Engineering, LangGraph Agentic Interested share your details to uthirakumar.k@tekskills.in Full Name as Per Pan Card : Email id - Contact number: Alternative Number and Mail ID : Total Exp in IT industry: Relevant experience (Particular skill as per JD): Current CTC ( fixed and variable) : Expected CTC (in INR): Official Notice Period: If Serving Notice Period When is your LWD: Any offers in hand?: (Y/N): Do you have any career Gap?: Current Location: Preferred Location: Reason for job change:

About The Role Salesforce Developer Roles & Responsibilities Qualification: B Tech/BE/MTech/MCA/MSc or related engineering discipline from a reputed institute with consistently 65%+ academic record from Xth onwards. Experience 2-5+ Year of Hands-on experience Work from Office Base location- Goregaon Domain: BFSI/NBFC specially from lending platform such as Trade Finance, SCF, OS, LMS Joining: Immediate / within-in 15 days SF Certification : Salesforce Certified Advanced Administrator Salesforce Certified Platform App Builder Salesforce Certified Platform Developer I Salesforce Certified Platform Developer II Salesforce Certified Sales Cloud Consultant Salesforce Certified Service Cloud Consultant Salesforce Certified Architecture Requirements2 Profile (Individual Contributors) Mid-level developerIntegrations, composition, encapsulation, and invocable methods (2 4 years"™ experience). Senior developerSolution design, DevOps, advancing testing strategies and most importantly, being fully engaged with the rest of the team (5+ years"™ experience) . Roles and Responsibilities Collaborating with the Salesforce Administrator to validate business requirements and any considerations (security, scalability, limits) Hands-on on Database design, Governor limits, Security considerations, Implicit Bulkification,Email Templates,Approval Processes,Workflow Rules Developing Flows, Apex Classes, and Triggers, as well as test classes for all custom development andDevOps. Custom user interface development, including Visualforce pages/Lightning pages, Aura Components and Lightning Web Components Use Salesforce APIs to integrate with other systems used in the organization Adhere to Salesforce best practices, maintain code documentation, and write / maintain test classes for all custom development. Aware of Salesforce Einstein and AI

So, what’s the role all about? We are seeking a skilled and experienced Developer with expertise in .net programming along with knowledge on LLM and AI to join our dynamic team. As a Contact Center Developer, you will be responsible for developing and maintaining contact center applications, with a specific focus on AI functionality. Your role will involve designing and implementing robust and scalable AI solutions, ensuring efficient agent experience. You will collaborate closely with cross-functional teams, including software developers, system architects, and managers, to deliver cutting-edge solutions that enhance our contact center experience. How will you make an impact? Develop, enhance, and maintain contact center applications with an emphasis on copilot functionality. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Perform system analysis, troubleshooting, and debugging to identify and resolve issues. Conduct regular performance monitoring and optimization of code to ensure optimal customer experiences. Maintain documentation, including technical specifications, system designs, and user manuals. Stay up to date with industry trends and emerging technologies in contact center, AI, LLM and .Net development and apply them to enhance our systems. Participate in code reviews and provide constructive feedback to ensure high-quality code standards. Deliver high quality, sustainable, maintainable code. Participate in reviewing design and code (pull requests) for other team members – again with a secure code focus. Work as a member of an agile team responsible for product development and delivery Adhere to agile development principles while following and improving all aspects of the scrum process. Follow established department procedures, policies, and processes. Adheres to the company Code of Ethics and CXone policies and procedures. Excellent English and experience in working in international teams are required. Have you got what it takes? BS or MS in Computer Science or related degree 2-4 years’ experience in software development. Strong knowledge of working and developing Microservices. Design, develop, and maintain scalable .NET applications specifically tailored for contact center copilot solutions using LLM technologies. Good understanding of .Net and design patterns and experience in implementing the same Experience in developing with REST API Integrate various components including LLM tools, APIs, and third-party services within the .NET framework to enhance functionality and performance. Implement efficient database structures and queries (SQL/NoSQL) to support high-volume data processing and real-time decision-making capabilities. Utilize Redis for caching frequently accessed data and optimizing query performance, ensuring scalable and responsive application behavior. Identify and resolve performance bottlenecks through code refactoring, query optimization, and system architecture improvements. Conduct thorough unit testing and debugging of applications to ensure reliability, scalability, and compliance with specified requirements. Utilize Git or similar version control systems to manage source code and coordinate with team members on collaborative projects. Experience with Docker/Kubernetes is a must. Experience with cloud service provider, Amazon Web Services (AWS) Experience with AWS Could on any technology (preferred are Kafka, EKS, Kubernetes) Experience with Continuous Integration workflow and tooling. Stay updated with industry trends, emerging technologies, and best practices in .NET development and LLM applications to drive innovation and efficiency within the team. You will have an advantage if you also have: Strong communication skills Experience with cloud service provider like Amazon Web Services (AWS), Google Cloud Engine, Azure or equivalent Cloud provider is a must. Experience with ReactJS. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7442 Reporting into: Sandip Bhattcharjee Role Type: Individual Contributor

Job Summary We are seeking a highly experienced Principal Architect with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Vertex AI Project Stakeholder Management Google APIGEE Risk Management Delivery Management Cloud Storage Google Data Studio and Looker. This role requires domain experience in Utilities and offers a hybrid work model with day shifts. Responsibilities Lead the design and implementation of complex architectural solutions using Vertex AI and Google APIGEE. Oversee project stakeholder management to ensure alignment with business objectives and successful project delivery. Provide risk management strategies to identify assess and mitigate potential risks throughout the project lifecycle. Manage delivery processes to ensure timely and efficient completion of projects. Utilize Cloud Storage solutions to manage and store data securely and efficiently. Develop and maintain data visualizations and reports using Google Data Studio and Looker. Collaborate with cross-functional teams to ensure seamless integration of architectural solutions. Conduct regular reviews and assessments of architectural frameworks to ensure they meet industry standards and best practices. Implement continuous improvement initiatives to enhance the efficiency and effectiveness of architectural processes. Provide technical guidance and mentorship to junior team members. Ensure compliance with regulatory requirements and industry standards in the Utilities domain. Communicate effectively with stakeholders to provide updates on project progress and address any concerns. Drive innovation and stay updated with the latest technological advancements in the field. Qualifications Possess a strong background in Vertex AI and Google APIGEE with hands-on experience. Demonstrate expertise in project stakeholder management and risk management. Have a proven track record in delivery management and cloud storage solutions. Show proficiency in creating data visualizations and reports using Google Data Studio and Looker. Exhibit domain knowledge and experience in the Utilities sector. Display excellent communication and collaboration skills. Hold a relevant certification in cloud architecture or a related field. Certifications Required Google Professional Cloud Architect Certified Project Management Professional (PMP)

Position Overview Are you ready to lead and shape the future of cutting-edge products in the Diligent ecosystem? As a Product Manager, you’ll be at the helm of innovation, driving market-leading solutions that empower businesses to excel. You’ll deeply understand our customers’ needs, master the business domain, and align product evolution with corporate strategy—all while delivering exceptional user experiences. In this role, you’ll be a key player in developing relationships with cross-functional teams and internal stakeholders. You will shape the product vision, collaborate on dependencies with other products, and continually gather feedback to refine your roadmap. We are Looking for PM to join us to shape the future of how our customers leverage, AI-powered reporting, visualisations, and data integrations to surface impactful insights across governance, risk, and compliance. What You’ll Do: Shape the Future: Own the entire product lifecycle—from concept to launch—and take pride in delivering game-changing solutions. Customer-Centric Vision: Be the voice of the customer, translating their needs into actionable insights that drive product innovation. Lead Cross-Functional Teams: Collaborate closely with developers, UX designers, and leaders across Customer Success, Sales, and Marketing to bring ideas to life. Create Exceptional Experiences: Deliver seamless, high-quality user experiences across platforms (Mobile, Web, Desktop) for our target personas. Drive Business Impact: Define key success metrics, track performance, and measure outcomes to ensure our products not only meet expectations but exceed them. Stay Ahead of the Curve: Monitor industry trends, perform competitor analysis, and continuously evolve our product roadmap to stay competitive. Prioritise with Precision: Manage a well-organised backlog of user stories, ensuring clarity and alignment with business goals. What We’re Looking For: 2+ years of product management experience in data, integrations, analytics with AI-focussed capabilities Understanding of AI/ML concepts and their application in reporting or business intelligence tools. Familiarity with data platforms, APIs, or reporting tools (e.g., Power BI, Looker, QuickSight, Snowflake). Proven ability to lead cross-functional teams and influence stakeholders at all levels. Solid understanding of writing technical and functional requirements. Excellent communication skills, both written and verbal, with the ability to translate complex ideas into clear and actionable plans. Strong organisational and coordination skills to drive collaboration across multiple teams.

Technical Expertise: Deep knowledge of AI, particularly LLMs, and their integration challenges. Experience with agent-based modelling and an understanding of its practical applications. Proficiency in low-code/no-code platforms and their capabilities. Knowledge of system assurance, QA processes, and testing methodologies. Familiarity with AI-driven response systems and chatbot frameworks. System Architecture Experience: Proven track record in architecting and overseeing the deployment of complex, multi-component platforms. Skills in ensuring seamless integrations between disparate system components. Ability to design scalable and resilient architectures that can handle high workloads and potential system failures. Strategic Vision: Capability to align technical architecture decisions with broader business goals and objectives. Foresight to anticipate technological advancements and adapt the architecture accordingly. Data Management & Security: Strong foundation in data management, storage, and retrieval strategies. Knowledge of cybersecurity best practices and data privacy regulations to ensure the platform's integrity and compliance. UX/UI Sensibility: While not necessarily a designer, the architect should understand the importance of user experience, especially in AI-driven response systems.

Role & responsibilities We are looking for an experienced GenAI Developer to join our team and drive innovation in AI-driven applications. The ideal candidate will work with large language models (LLMs), agentic AI, retrieval-augmented generation (RAG), vector databases, and API development to build intelligent and scalable AI-powered solutions. Develop, fine-tune, and deploy LLM-based applications to enhance AI-driven capabilities. Implement Agentic AI workflows for autonomous decision-making and task execution. Design and optimize RAG pipelines to improve contextual retrieval and knowledge grounding. Work with vector databases (e.g., FAISS, Pinecone, Weaviate, pgvector) for efficient data retrieval and embedding storage. Build and integrate RESTful APIs using FastAPI or similar frameworks to enable seamless AI interactions. Optimize AI models for latency, efficiency, and cost-effectiveness in production environments. Integrate multimodal AI capabilities to process and generate content from various media formats. Embed real-time monitoring and analytics to generate insights and proactive recommendations. Ensure security, privacy, and ethical AI practices in all deployments. Preferred candidate profile Experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.). Hands-on experience in Agentic AI frameworks (LangChain, AutoGPT, CrewAI, Agno (Phidata), etc.). Proficiency in RAG techniques for enhanced AI responses. Expertise in vector databases such as FAISS, Pinecone, ChromaDB, Weaviate, or pgvector. Strong Python programming skills with experience in FastAPI. Knowledge of embedding models (e.g., OpenAI embeddings, Hugging Face, BGE, etc.). Strong understanding of RESTful API integration and development. Perks and benefits

Data Scientist with 5+ years of relevant experience in: Python, SQL, NLP, LLM, GenAI, H2O

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.