1443 Generative Ai Jobs - Page 24

As a Project Research Scientist in an ICMR funded project aimed at understanding speech pathologies using ultrasound imaging, you will be working under the guidance of Prof. Sahiinii Lemaina Veikho from HUSS, IIT Delhi and Prof. Deepti Vibha from AIIMS Neurology and RISE Lab, IIT Delhi. We are seeking individuals who hold a Masters or PhD in Electrical Engineering, Computer Science, or related areas. Your role will require a fundamental and deep knowledge of Machine learning, deep learning algorithms, and Generative AI. An essential requirement for this position is hands-on experience in developing models from scratch, which should be demonstrated through GitHub or public projects. While a background in audio, speech, language-based analysis, and/or medical imaging would be preferred, it is not mandatory. A strong publication record in high-quality conferences/journals will be highly valued. This is an on-site position located at IIT Delhi, where you can expect to collaborate with a multi-disciplinary team consisting of engineers, linguists, and clinicians from top institutions in the country, including IIT Delhi and AIIMS New Delhi. You will have access to state-of-the-art facilities for speech assessment, including ultrasound imaging systems, electropalatography system, and 3D tongue imaging systems. To apply for this role, please submit your CV highlighting your qualifications, public repositories of code (if available), and publication details. Join us in this exciting project that aims to advance our understanding of speech pathologies through cutting-edge research and innovative technologies.,

10+ Years of overall IT experience in implementing core solutions like New Business submission, Underwriting, Claims processing, billing etc for Insurance Customers either Custom Build or any COTS Platform. Experience in end to end solution design and development for Insurance customers in any COTS platform or Custom Build application. Good understanding of Insurance business processes across new submission, underwriting and Quote. At least 2+ years of experience in and GenAI technologies like Python, Langchain, Langgraph, OpenAI, Azure Document Intelligence (ADI), Azure Service Bus, Retrieval Augmented generation (RAG).

:Our client is Global IT Service & Consulting Organization Data Science Engineer Exp:5 -11 years Primary Skills: Data Science, Python, Machine Learning Mandatory Skills:Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills:Python, NLP, LLMs, Data Science Must-Have:Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have: BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Location- Pune Notice period: Immediate to 60 days F2F interview on 19th July ,Saturday in Pune location

Responsibilities: * Develop generative AI models using machine learning techniques. * Optimize data pipelines with LangChain. * Collaborate cross-functionally on project delivery. Health insurance Annual bonus Provident fund

Job Description : Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend.- Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements.- API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services.- LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions.- Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities.- Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness.- Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle.- Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment.- Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products.- Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions.- Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.- Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies.- Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+).- Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS.- API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs.- AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications.- Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services).- LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications.- Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.- Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB).- DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions).- Testing : Experience with writing unit, integration, and end-to-end tests.- Problem-Solving Skills : Excellent analytical and problem-solving abilities.- Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.- Collaboration : Ability to work effectively in a collaborative team environment

Job Title: Lead AI/ML Engineer GenAI, LLMs & Automation Location: Bangalore Experience: 5+ years (including 3+ in Cloud) Role Summary We are building GenAI-driven assistants to transform how professionals learn, buy, and get support. Youll work closely with the CTO and lead the architecture, development, and deployment of LLM-powered solutionsincluding custom model training on proprietary datasets, RAG pipelines, and multi-agent systems. This is a full-stack AI role—you’ll also drive infrastructure, DevOps, and observability across the GenAI stack to ensure production-grade performance, scalability, and automation. Must-Have Skills LLM fine-tuning and custom model creation using proprietary data (e.g., SFT, LoRA, PEFT) Strong expertise in RAG architectures, vector stores (Pinecone, FAISS), and embeddings Hands-on with LangChain, LangGraph, and prompt engineering Solid cloud experience (AWS – ECS, Lambda, Bedrock, S3, IAM) Backend/API engineering (FastAPI or Node.js), Docker, Git, CI/CD (GitHub Actions, CodePipeline) Scripting with Python & Bash; n8n or other workflow automation tools Observability: Langfuse, LangWatch, OpenTelemetry Bonus Skills Agentic frameworks (LangFlow, CrewAI, AutoGen) Experience integrating chatbots in web or LMS environments Infra as Code (Terraform), monitoring tools (Grafana, CloudWatch) You’ll Be Responsible For Designing and scaling AI-first features for real users Leading AI engineering practices end-to-end—model, infra, and app layer Rapid experimentation, iteration, and optimization Collaborating cross-functionally and shipping production-grade solutions fast

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Mode of work : Hybrid or Remote (Hyderabad or Pune candidates preferred for Hybrid working mode or any candidates from Pan India for remote is also fine) Job Description for AI Architect : Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Client : Genzeon Position : AI Architect Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements

Mode of work : Hybrid or Remote (Hyderabad or Pune candidates preferred for Hybrid working mode or any candidates from Pan India for remote is also fine) Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Client : Genzeon Position : AI Architect Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements

Job description We are looking for a passionate Senior Data Scientist Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone whos eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across a multidisciplinary team, driving innovation across industries/domains Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Must Have Skills • 3- 10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB) Strong understanding of NLP technique,s including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines Experience integrating LLMs via Azure OpenAI, Google Vertex A,I or AWS Bedrock Ability to work independently & drive projects end-to-end from development to production Strong problem-solving, data storytelling & communication skills

About the Role We are looking for a highly skilled and self-driven AI/LLM Engineer with a strong background in Artificial Intelligence and Machine Learning, specifically with hands-on experience in building LLM-based solutions from the ground up. This is a unique opportunity to lead the development of AI systems that power intelligent automation and personalization across our platform hosted on AWS. You will work on the full lifecycle of AI product development from problem discovery, model selection, data preparation, fine-tuning, evaluation, and deployment. Key Responsibilities Design and develop AI/LLM-based solutions from scratch for fintech use cases such as underwriting, fraud detection, intelligent chatbots, document processing, etc. Fine-tune large language models (LLMs) for custom domain-specific tasks Develop RAG (retrieval-augmented generation) systems using embeddings and vector databases Build APIs to integrate AI/LLM capabilities into production-grade fintech applications Optimize and deploy models in AWS cloud environments using services like SageMaker, Lambda, ECS, ECR, etc. Implement prompt engineering techniques to improve LLM output quality Monitor model performance and continuously improve model accuracy, latency, and robustness Collaborate closely with product, data, and engineering teams to deliver business-impacting AI features Required Qualifications Bachelors or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related fields Minimum 3+ years of experience in AI/ML, with proven hands-on experience building LLM-based solutions Strong programming skills in Python and ML frameworks like PyTorch, TensorFlow Experience with LLM platforms (OpenAI, Anthropic, Cohere, Hugging Face) and frameworks (LangChain, LlamaIndex) Expertise in prompt engineering, model tuning, tokenization, embeddings, and language model fine-tuning Good understanding of vector databases (e.g., FAISS, Pinecone, Weaviate) Strong experience in AWS cloud services, especially SageMaker, Lambda, S3, ECS, ECR, API Gateway Ability to independently take a project from ideation to deployment Preferred Skills Experience with Docker, CI/CD, serverless architecture, and observability tools Prior experience in fintech domain or regulated environments Knowledge of data privacy, AI governance, and model explainability Familiarity with OCR, NLP pipelines, and generative AI use cases Contributions to open-source AI projects or published research is a plus

Looking at Solutions Architect with minimum 15+ years in architect roles (CORE SOLUTION ARCHITECT /Principal Architect) Expertise in Java 8+, Spring Boot, RESTful Microservices, Oracle, AWS (ECS, EC2, RDS, S3), Java, Microservices - Mandate Required Candidate profile Strong leadership, client engagement, and global delivery experience across Fortune 500 clients in US, UK, UAE, and APAC.(Looking at ) Call Vikas 8527840989 vikasimaginators@gmail.com

Staff/Sr. Staff Engineer Experience: 6 - 15 Years Exp Salary : Competitive Preferred Notice Period : Within 60 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Airflow OR LLMs OR MLOps OR Generative AI and Python Netskope (One of Uplers' Clients) is Looking for: Staff/Sr. Staff Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Summary: Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's in it for you You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What you will be doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required skills and experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS or equivalent required, MSCS or equivalent strongly preferred How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Netskope, a global SASE leader, helps organizations apply zero trust principles and AI/ML innovations to protect data and defend against cyber threats. Fast and easy to use, the Netskope platform provides optimized access and real-time security for people, devices, and data anywhere they go. Netskope helps customers reduce risk, accelerate performance, and get unrivaled visibility into any cloud, web, and private application activity. Thousands of customers trust Netskope and its powerful NewEdge network to address evolving threats, new risks, technology shifts, organizational and network changes, and new regulatory requirements About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Staff/Sr. Staff Engineer Experience: 6 - 15 Years Exp Salary : Competitive Preferred Notice Period : Within 60 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Airflow OR LLMs OR MLOps OR Generative AI and Python Netskope (One of Uplers' Clients) is Looking for: Staff/Sr. Staff Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Summary: Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's in it for you You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What you will be doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required skills and experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS or equivalent required, MSCS or equivalent strongly preferred How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Netskope, a global SASE leader, helps organizations apply zero trust principles and AI/ML innovations to protect data and defend against cyber threats. Fast and easy to use, the Netskope platform provides optimized access and real-time security for people, devices, and data anywhere they go. Netskope helps customers reduce risk, accelerate performance, and get unrivaled visibility into any cloud, web, and private application activity. Thousands of customers trust Netskope and its powerful NewEdge network to address evolving threats, new risks, technology shifts, organizational and network changes, and new regulatory requirements About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About The Role: Sr. AI Engineer - Gen AI We are looking for a high-energy tech-savvy individual for the role of Senior AI Engineer- GenAI at Eucloid. The candidate will solve complex problems, picking up new technologies and working at the cutting edge of innovation. The candidate is expected to lead following work-streams: Develop and optimize Python applications for AI-driven products Build and integrate LLM-based applications with structured and unstructured data Work with large datasets, AI pipelines, and model inference APIs Collaborate with AI researchers and engineers to translate ideas into production-ready solutions Stay ahead of emerging AI technologies and contribute to continuous innovation Ideal candidate will have following Background and Skills: Undergraduate Degree in any quantitative discipline such as engineering, science or economics from a Top-Tier institution. 5+ years of experience in Python-based product development Strong foundation in data structures, algorithms, and system design Proven problem-solving ability you love tackling complex technical challenges Hands-on experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure) Experience in AI, ML, or NLP is a bonus, but a strong aptitude to learn AI frameworks quickly is what matters most Exposure to LangChain, OpenAI APIs, or vector databases (advantageous, but not mandatory) The role offers a very attractive compensation (Base + Bonus) and is based out of Chennai. Please reach out to chandershekhar.verma@eucloid.com if you want to apply .

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. This individual will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. AI System Design & Architecture: Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Generative AI Model Development: Lead the design and development of generative AI models, including but not limited to transformers, and large language models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. AI Strategy & Innovation: Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to continually improve performance and capabilities. Contribute to the development of AI strategies that align with organizational goals and objectives. Experience: Proven experience in AI/ML model development, with a focus on generative models such as LLM,transformers Strong experience in MLOps Strong experience designing and deploying scalable AI architectures in cloud environments (AWS). Experience with AI frameworks and libraries such as Tensor Flow, PyTorch. Experience with data engineering and pre-processing for generative models. Proficiency in Python and other relevant programming languages. Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Lead AI/ML Engineer Experience:5 - 10 Years Exp Salary : 15 to 25 LPA Preferred Notice Period: Within 30 Days Shift: 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI OR NLP AND Python OR Java OR R AND Deep Learning OR TensorFlow OR Keras OR PyTorch Inferenz(One of Uplers' Clients) is Looking for: Lead AI/ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. About The Role: Job Overview: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelors or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Lead AI/ML Engineer Experience:5 - 10 Years Exp Salary : 15 to 25 LPA Preferred Notice Period: Within 30 Days Shift: 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI OR NLP AND Python OR Java OR R AND Deep Learning OR TensorFlow OR Keras OR PyTorch Inferenz(One of Uplers' Clients) is Looking for: Lead AI/ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. About The Role: Job Overview: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelors or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

The Pre-Sales & Solutioning Lead (RPA / AI / Automation) position at Wipro Limited involves engaging with sales, delivery, and client teams to understand business needs and collaboratively develop transformation-led solutions across RPA, AI, Low-code platforms, and BPM tools. The role requires driving solutioning for back-office and front-office operations within BFS/BPO verticals. Based in Pune, Mumbai, Hyderabad, or Bangalore, the key responsibilities include leading pre-sales engagements, designing high-level solution architectures, conducting workshops and proof-of-concepts, and collaborating with domain SMEs and technical architects to create solution blueprints. The ideal candidate should have 6-10 years of experience in solutioning, pre-sales, or transformation consulting, with a minimum of 4 years in the BFS or BPO domain. Proficiency in automation technologies such as RPA (UiPath, AA), AI, and low-code platforms (Power Platform, etc.) is essential. The candidate should demonstrate a proven ability to lead or support large deal pursuits, articulate solution value to CXOs, and possess exposure to digital operations in the banking domain. Strong communication, stakeholder management, storytelling, and documentation skills are required. Certification in Power Platform, UiPath, or any AI platform is a plus. The competencies sought for this role include client centricity, passion for results, execution excellence, problem solving & decision making, and effective communication. The successful candidate will have the opportunity to be part of Wipro's modern digital transformation journey, working in an environment that encourages reinvention and continuous evolution. Wipro welcomes applications from individuals with disabilities. For additional information about Wipro Limited and to explore more opportunities, visit www.wipro.com.,

As a Firefly models & Services architect in the Adobe Firefly Gen AI Models and services group, you will play a crucial role in supporting the creation, improvement, and deployment of model pipelines for Adobe's top products across various domains. Your expertise in machine learning will be essential in designing and optimizing large-scale foundation model pipelines in Generative AI. You will collaborate with outstanding Applied researchers and engineers to bring innovative ideas to production, providing technical leadership and mentorship for junior team members. Your responsibilities will include designing and developing the GenAI backend services for Firefly, creating efficient model pipelines that power the generative AI features on various Adobe applications like PPro, Photoshop, Illustrator, Express, and Stock. You will lead the exploration and research of new ML and MLOps technologies to enhance Adobe's GenAI engineering effectiveness continuously. Your strong hands-on experience with large-scale GenAI model pipelines and collaboration skills will be key in driving alignment and achieving project goals within a Matrix organization. To succeed in this role, you should have a Master's or Ph.D. in Computer Science, AI/ML, or related fields, or a B.Tech with significant experience in AI/ML. With 12+ years of experience and at least 3 years as a Lead/Architect, you should possess excellent communication and technical leadership skills. Experience in the latest Generative AI technologies, such as GAN, diffusion, and transformer models, along with a track record of tech leading contributors on time-sensitive GenAI projects, will be advantageous. Preferred experience includes training or optimizing models using frameworks like CUDA, Triton, and TRT, as well as converting models from PyTorch and TensorFlow to other formats for optimized performance. A good publication record in Computer Science, AI/ML, or related fields is also beneficial. At Adobe, creativity, curiosity, and continuous learning are encouraged, offering you a unique career growth journey. Update your Resume/CV and Workday profile to showcase your Adobe experiences and volunteer work. Visit the Internal Mobility page on Inside Adobe to explore opportunities, and prepare for interviews by checking out helpful tips. Adobe provides an exceptional work environment, recognized globally, where ongoing feedback is valued through the Check-In approach. If you are driven to make an impact, Adobe is the place for you. Discover more about career experiences on the Adobe Life blog and explore the meaningful benefits offered. If you require accommodation to navigate the website or complete the application process due to a disability or special need, reach out to accommodations@adobe.com or call (408) 536-3015.,

The Salesforce AI Platform powers AI investments in the Einstein product portfolio across various Salesforce clouds, including Service, Sales, and the recent Einstein GPT capabilities. The team collaborates with external vendors, open-source platforms, and the internal Salesforce Research team to host various LLMs (Large Language Models). They continuously evaluate and measure quality, build an experimentation platform, and enable seamless rollout of LLMs based on customer data and feedback. We are looking for an exceptional Product Manager to lead the development of Sales AI for Salescloud, focusing on building AI capabilities to assist sellers. The ideal candidate is an experienced product manager dedicated to ensuring customer and team success. This role offers a high-profile opportunity for someone looking to advance their career. **Responsibilities:** - Define and drive the product vision, strategy, and roadmap for Sales AI, covering areas such as Experimentation and Improvements, Prompt tuning, Model fine-tuning, Retrieval Augmented Generation (RAG), Keyword & Vector Search, and No-code model builder experiences. - Manage the entire product lifecycle from concept to adoption, including defining requirements, prioritizing features, justifying decisions, and establishing success metrics. - Collaborate with engineering teams to outline, prioritize, and implement feature specifications. - Engage with customers, stakeholders, and partners to provide roadmap updates, gather feedback, and identify challenges and opportunities. - Stay informed about industry trends and competition in Generative AI. - Work with product marketing on positioning, messaging, and go-to-market strategies. - Serve as a domain and product expert for Salesforce in customer interactions, industry events, and community platforms. **Required Skills:** - 8+ years of Product Management experience with technical products/platforms. - Strong background in AI/ML with the ability to communicate effectively with engineers and data scientists. - Excellent written and verbal communication skills, including presenting to executives, participating in the sales process, and managing critical issues. - Experience working in agile/lean environments and managing backlogs. - Proficiency in gathering and translating product requirements into a practical roadmap. - Proven ability to collaborate internally and externally to deliver products or services. - Bachelor's degree or equivalent experience required. **Desired Skills:** - Experience in defining and developing AI platforms to support different user personas throughout the ML lifecycle. - Familiarity with Generative AI and LLM landscape. - Background in ML metrics, evaluations, and benchmarking. - Experience working closely with Data Science and ML Engineering teams.,

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. The ideal candidate should be skilled at constructing and customizing pipelines within Azure, possessing excellent knowledge of Azure configurations and Azure Bot Logic Services. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director. Your primary responsibility will involve designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. You will utilize natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tuning GPT-based models and integrating them with business applications will also be part of your tasks. Additionally, you will optimize chatbot performance by training models, improving responses, and handling edge cases. Deploying and managing chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, as well as integrating chatbots with databases, APIs, and enterprise applications, are vital aspects of the role. You will ensure chatbot security, compliance, and scalability in Azure cloud environments, and monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI. For this position, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP. Proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an Assistant Director - AI/GenAI in the Data and Analytics team at EY, you will be part of a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your assignments will cover a wide range of countries and industry sectors. Your key responsibilities include developing, reviewing, and implementing solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. You will lead the development and implementation of Generative AI applications, work with advanced models for natural language processing and creative content generation, and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Additionally, you will work on identifying opportunities for analytics application, manage projects, study resource needs, provide expert reviews, and communicate effectively with cross-functional teams. To qualify for this role, you must have 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models, experience in Azure Cloud Framework, excellent presentation skills, and familiarity with statistical techniques, deep learning, and machine learning algorithms. Proficiency in Python programming, experience with SDLC, and willingness to mentor team members are also required. Ideal candidates will have the ability to think strategically, build rapport with clients, and be willing to travel extensively. In addition, we look for individuals with commercial acumen, technical experience, and enthusiasm to learn in a fast-moving environment. This role offers the opportunity to be part of a market-prominent, multi-disciplinary team and work with EY SaT practices globally across various industries. EY Global Delivery Services (GDS) is a dynamic and truly global delivery network that offers fulfilling career opportunities in collaboration with EY teams on exciting projects worldwide. Continuous learning, transformative leadership, and a diverse and inclusive culture are some of the key aspects of working at EY. EY exists to build a better working world by providing trust through assurance and helping clients grow, transform, and operate across various sectors. Your role at EY will contribute to creating long-term value for clients, people, and society while building trust in the capital markets.,

This is a full-time position with D Square Consulting Services Pvt Ltd based in Bangalore and requires 6-8 years of experience. The work mode for this role is Onsite and the candidate who can join within 15 days may only apply. As an AI/ML Engineer, you will be responsible for leading the end-to-end design, development, and deployment of advanced AI/ML solutions for digital marketing and analytics. Your role will involve driving innovation, leveraging cutting-edge techniques, and standardizing multi-cloud model deployment through collaboration to deliver profound data insights. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with an emphasis on quantitative methods. Additionally, you should possess 6-7 years of experience in software engineering with expertise in the full lifecycle of ML model development, deployment, and operationalization. Your ability to write robust, efficient, and scalable Python, Java, Spark, and SQL code following industry best practices is crucial. You should have extensive experience with major ML frameworks such as TensorFlow, PyTorch, Scikit-learn, advanced deep learning libraries, and strong knowledge of diverse ML algorithms. Experience in deploying and managing AI/ML models on major cloud platforms like Azure, AWS, GCP is required. Experience with LLMs and generative AI is highly desirable. In this role, you will lead cross-functional teams to deliver and scale complex AI/ML solutions, architect, design, develop, train, and evaluate high-performance AI/ML models. You will drive implementation, deployment, and maintenance of AI/ML solutions, oversee data exploration, preprocessing, feature engineering, and data pipeline development. Furthermore, you will establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models, collaborate with senior stakeholders to translate business requirements into scalable AI solutions, and champion the adoption of the latest AI/ML technologies and best practices. Your problem-solving skills, communication abilities, and experience in classification, time series forecasting, customer lifetime value models, LLMs, and generative AI from Retail, eCommerce, or CPG industry will be beneficial in this role. Join us in fostering innovative thinking and continuous improvement in AI/ML technologies to maximize business value.,