677 Drift Jobs - Page 26

🚨 We are Hiring 🚨 https://grhombustech.com/jobs/job-description-senior-test-automation-lead-playwright-ai-ml-focus/ Job Description Job Title: Senior Test Automation Lead – Playwright (AI/ML Focus) Location: Hyderabad Job Type: Full-Time Company Overview: GRhombus Technologies Pvt Ltd, a pioneer in Software Solutions – Especially on Test Automation, Cyber Security, Full Stack Development, DevOps, Salesforce, Performance Testing and Manual Testing. GRhombus delivery centres are located in India at Hyderabad, Chennai, Bengaluru and Pune. In the Middle East, we are located in Dubai. Our partner offices are located in the USA and the Netherlands. About the Role: We are seeking a passionate and technically skilled Senior Test Automation Lead with deep experience in Playwright-based frameworks and a solid understanding of AI/ML-driven applications. In this role, you will lead the automation strategy and quality engineering practices for next-generation AI products that integrate large-scale machine learning models, data pipelines, and dynamic, intelligent UIs. You will define, architect, and implement scalable automation solutions across AI-enhanced features such as recommendation engines, conversational UIs, real-time analytics, and predictive workflows, ensuring both functional correctness and intelligent behavior consistency. Key Responsibilities: Test Automation Framework Design & Implementation Design and implement robust, modular, and extensible Playwright automation frameworks using TypeScript/JavaScript. Define automation design patterns and utilities that can handle complex AI-driven UI behaviors (e.g., dynamic content, personalization, chat interfaces). Implement abstraction layers for easy test data handling, reusable components, and multi-browser/platform execution. AI/ML-Specific Testing Strategy Partner with Data Scientists and ML Engineers to understand model behaviors, inference workflows, and output formats. Develop strategies for testing non-deterministic model outputs (e.g., chat responses, classification labels) using tolerance ranges, confidence intervals, or golden datasets. Design tests to validate ML integration points: REST/gRPC API calls, feature flags, model versioning, and output accuracy. Include bias, fairness, and edge-case validations in test suites where applicable (e.g., fairness in recommendation engines or NLP sentiment analysis). End-to-End Test Coverage Lead the implementation of end-to-end automation for: Web interfaces (React, Angular, or other SPA frameworks) Backend services (REST, GraphQL, WebSockets) ML model integration endpoints (real-time inference APIs, batch pipelines) Build test utilities for mocking, stubbing, and simulating AI inputs and datasets. CI/CD & Tooling Integration Integrate automation suites into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar. Configure parallel execution, containerized test environments (e.g., Docker), and test artifact management. Establish real-time dashboards and historical reporting using tools like Allure, ReportPortal, TestRail, or custom Grafana integrations. Quality Engineering & Leadership Define KPIs and QA metrics for AI/ML product quality: functional accuracy, model regression rates, test coverage %, time-to-feedback, etc. Lead and mentor a team of automation and QA engineers across multiple projects. Act as the Quality Champion across the AI platform by influencing engineering, product, and data science teams on quality ownership and testing best practices. Agile & Cross-Functional Collaboration Work in Agile/Scrum teams; participate in backlog grooming, sprint planning, and retrospectives. Collaborate across disciplines: Frontend, Backend, DevOps, MLOps, and Product Management to ensure complete testability. Review feature specs, AI/ML model update notes, and data schemas for impact analysis. Required Skills and Qualifications: Technical Skills: Strong hands-on expertise with Playwright (TypeScript/JavaScript). Experience building custom automation frameworks and utilities from scratch. Proficiency in testing AI/ML-integrated applications: inference endpoints, personalization engines, chatbots, or predictive dashboards. Solid knowledge of HTTP protocols, API testing (Postman, Supertest, RestAssured). Familiarity with MLOps and model lifecycle management (e.g., via MLflow, SageMaker, Vertex AI). Experience in testing data pipelines (ETL, streaming, batch), synthetic data generation, and test data versioning. Domain Knowledge: Exposure to NLP, CV, recommendation engines, time-series forecasting, or tabular ML models. Understanding of key ML metrics (precision, recall, F1-score, AUC), model drift, and concept drift. Knowledge of bias/fairness auditing, especially in UI/UX contexts where AI decisions are shown to users. Leadership & Communication: Proven experience leading QA/Automation teams (4+ engineers). Strong documentation, code review, and stakeholder communication skills. Experience collaborating in Agile/SAFe environments with cross-functional teams. Preferred Qualifications: Experience with AI Explainability frameworks like LIME, SHAP, or What-If Tool. Familiarity with Test Data Management platforms (e.g., Tonic.ai, Delphix) for ML training/inference data. Background in performance and load testing for AI systems using tools like Locust, JMeter, or k6. Experience with GraphQL, Kafka, or event-driven architecture testing. QA Certifications (ISTQB, Certified Selenium Engineer) or cloud certifications (AWS, GCP, Azure). Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline. Bonus for certifications or formal training in Machine Learning, Data Science, or MLOps. Why Join Us? At GRhombus, we are redefining quality assurance and software testing with cutting-edge methodologies and a commitment to innovation. As a test automation lead, you will play a pivotal role in shaping the future of automated testing, optimizing frameworks, and driving efficiency across our engineering ecosystem. Be part of a workplace that values experimentation, learning, and professional growth. Contribute to an organisation where your ideas drive innovation and make a tangible impact. Show more Show less

Job Title: QA Engineer – Generative AI Testing Location: [Hybrid – Hyderabad/Vishakhapatnam] Job Type: [Full-time] Job Summary: We are seeking a skilled and detail-oriented QA Engineer with expertise in Generative AI Testing to join our team. In this role, you will be responsible for ensuring the accuracy, safety, and performance of AI-driven applications, particularly in the field of Generative AI. You will design and execute test strategies, develop automation frameworks, and validate AI outputs to maintain high-quality user experiences. Key Responsibilities: Design, develop, and execute comprehensive test plans for Generative AI models and applications. Validate AI-generated outputs for accuracy, coherence, bias, ethical considerations, and alignment with business requirements. Develop and maintain automated testing frameworks for AI-based applications, ensuring scalability and efficiency. Perform adversarial testing, edge case analysis, and security testing to assess AI vulnerabilities. Collaborate with AI/ML engineers, product managers, and developers to refine model performance and mitigate errors. Monitor AI model drift and ensure consistent performance across different inputs and datasets. Conduct performance testing to evaluate response times, scalability, and reliability of AI systems. Document test cases, test results, and defects while ensuring compliance with AI governance and ethical guidelines. Continuously explore new tools and methodologies to improve AI testing processes. Requirements: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in Quality Assurance , with at least 1-2 years in AI/ML testing or Generative AI applications. Strong understanding of AI/ML concepts, NLP models, LLMs, and deep learning architectures. Experience with AI testing tools such as LangTest, DeepChecks, Trulens, or custom AI evaluation frameworks . Proficiency in test automation using Python, Selenium, PyTest, or similar frameworks . Familiarity with model evaluation metrics such as BLEU, ROUGE, perplexity, and precision-recall for AI-generated content. Knowledge of bias detection, adversarial testing, and ethical AI considerations. Experience working with APIs, cloud platforms (AWS, Azure, GCP), and MLOps practices. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration skills to work in cross-functional teams. Nice to Have: Experience in testing AI chatbots, voice assistants, or image/video-generating AI. Knowledge of LLM fine-tuning and reinforcement learning from human feedback (RLHF). Exposure to regulatory and compliance frameworks for AI governance. Why Join Us? Opportunity to work on cutting-edge AI products. Collaborate with a team of AI and software experts. Competitive salary, benefits, and career growth opportunities. If you’re interested, Please share your resume with Dkadam@eprosoft.com Show more Show less

Highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs/ (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. Responsibilities Model Development & Fine-Tuning: - Design, train, fine-tune and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks (e.g., text generation, summarization, semantic similarity). - Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques. Deployment & Scalability (MLOps/LLMOps): - Build and maintain end-to-end ML pipelines for training, evaluation, and deployment. - Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT. - Optimize models for low-latency, high-throughput inference (eg., quantization, distillation, etc.). - Implement CI/CD workflows for ML systems using tools like MLflow, Kubeflow. Monitoring & Optimization: - Set up logging, monitoring, and alerting for model performance (drift, latency, accuracy). - Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models. Required Skills & Qualifications: - 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. - Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks. - Experience with model deployment tools (Docker, Kubernetes, FastAPI). - Knowledge of MLOps/LLMOps best practices (model versioning, A/B testing, canary deployments). - Familiarity with cloud platforms (AWS, GCP, Azure). Preferred Qualifications: - Contributions to open-source LLM projects. Show more Show less

Job Title : Senior AI/ML Engineer Experience : 5+ Years Location : Remote Job Type - Contractual Job Summary: We are seeking a highly motivated and experienced Senior AI/ML Engineer to join our remote team. In this role, you will design, develop, and deploy cutting-edge AI and machine learning solutions across cloud platforms. The ideal candidate has a passion for innovation, stays up to date with the latest developments in AI, and has hands-on experience with modern AI/ML tools, libraries, and agentic workflows. You will work closely with cross-functional teams to solve complex business problems and drive intelligent automation and decision-making. Key Responsibilities: AI/ML Model Development : Design, build, and deploy robust, scalable machine learning and deep learning models using Python, SQL, NoSQL, and standard ML libraries (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow). Cloud Integration : Leverage cloud-based platforms such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, and OpenAI to develop and manage end-to-end AI/ML solutions. Model Deployment & Lifecycle Management : Automate deployment pipelines and monitor ML models in production for performance, drift, and retraining needs. Fine-Tuning & Customization : Fine-tune foundation models and LLMs for domain-specific applications using techniques like transfer learning, LoRA, and prompt engineering. Agentic AI Workflows : Implement and optimize agentic workflows involving task-oriented agents and multi-step reasoning pipelines. Architecture & Optimization : Architect data-driven solutions by applying advanced ML, statistical modeling, and deep learning techniques to solve real-world business challenges. Research & Innovation : Stay current with the latest advancements in AI, including GenAI, multi-modal models, RLHF, and experiment with new frameworks and technologies. Cross-Functional Collaboration : Work closely with data scientists, data engineers, product managers, and business stakeholders to translate business requirements into technical solutions. Required Skills & Qualifications: Programming : Expert-level proficiency in Python and SQL; experience working with NoSQL databases. ML/DL Libraries : Strong hands-on experience with Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch. Cloud Platforms : Proven experience with at least one major cloud provider (AWS/GCP/Azure), especially with ML tools like SageMaker, Vertex AI, Bedrock, Azure AI Studio, or OpenAI. Model Deployment : Experience with building, deploying, and monitoring models in production environments. LLMs & Fine-Tuning : Practical experience fine-tuning and integrating large language models (LLMs) using HuggingFace, LangChain, etc. Agentic AI : Experience with autonomous agents, LangChain Agents, AutoGPT, or similar agentic frameworks. Data Engineering : Ability to work with structured and unstructured data, data preprocessing, feature engineering, and pipeline creation. Soft Skills : Strong communication, collaboration, and problem-solving skills; ability to thrive in a fast-paced remote environment. Preferred Qualifications: Experience with RESTful APIs, Docker, and MLOps tools. Familiarity with generative AI tools and multimodal systems. Understanding of CI/CD for ML pipelines and model monitoring. Contributions to open-source AI/ML projects or published research. Why Join Us? Remote-first culture and flexible work hours Opportunity to work with the latest AI/ML technologies Challenging projects with global clients Competitive compensation and benefits Learning-centric environment with access to cloud credits, courses, and conferences Show more Show less

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Job Summary The primary purpose of this role is to provide deep technical leadership in the development of cutting -edge data science, machine learning, and deep learning solutions to solve Lowe’s retail problems at massive scale. This position will provide a wide range of strategic and technical leadership, research, and production ready implementations and solutions collaborating closely with engineering, product management and business partner teams. You will support diverse areas of the home improvement retail business including, but not limited to: Supply Chain Data Science products like labor forecasting, Lane level forecasting, Dynamic service area modeling, Network flow modeling, Financial analytics and modeling , Inventory optimization across the network, Generative AI (LLM, Diffusion) and interactive chatbots to improve supply chain operations, safety, product data quality, and associate productivity across various distribution centers and for financial analysts. Roles & Responsibilities Core Responsibilities Effectively manage highly qualified team of data scientists (including director(s) and managers of DS teams) and motivate them to deliver impactful outcomes. Ability to deal with ambiguity, anticipate future business needs, implement strategic frameworks, and develop staff accordingly. Provides leadership to the team by attracting and hiring talented individuals, setting goals and communicating clear expectations, providing timely and constructive feedback as well as meaningful developmental opportunities, managing performance, providing resources and support as needed, and sponsoring and leading team members through change. Translates business challenges and opportunities into project ideas, manages data science projects, collaborates with engineering leadership for deploying models at scale, ultimately responsible for timely deliverables with high-quality. Builds, coaches, and mentors a strong team of Data Science professionals with varying levels of expertise. Build a strong set of next leaders for the organization. Collaborates with cross-functional groups, stakeholders, and leadership to ensure alignment and understand business needs and deliver actionable insights and AI enabled products to improve store operations, safety, product data quality, customer shopping experience, associate productivity across Lowes business. Maintain expert-level knowledge on industry trends, emerging technologies, managing research initiatives to explore their potential application in home improvement domain Partner with Product, Engineering, Business and Operations leadership to formulate roadmaps, influence decision making, and drive prioritization. Provides input for departmental budget and forecasting, and manages expenses associated with initiatives within scope of responsibility. Educational Qualifications Bachelor’s degree (Required): Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) Doctorate Degree (Preferred): Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field Work Experience 15 years experience in applied advanced analytics (fewer years may be accepted with a Masters or Doctorate degree) 5 Years leadership experience with direct report responsibility 8 Years experience with advanced data modeling techniques 12 years’ experience in applied advanced analytics Primary Skills Data Science Modeling leveraging predictive and prescriptive techniques at Scale Large language Models Computer Vision models Responsible AI Data Drift and Bias Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

About Aviso AI: Aviso AI is revolutionizing enterprise sales intelligence with its cutting-edge AI solutions for forecasting, deal guidance, and revenue operations. By leveraging AI and machine learning, we transform how enterprise teams operate, allowing them to make data-driven decisions, optimize sales strategies, and increase productivity. Role Overview As a Senior Analyst, you will play a core role in uncovering insights from structured and unstructured data, evaluating model performance, and helping shape product and modeling decisions. This is a highly analytical role, focused on root cause analysis, pattern recognition, hypothesis testing, and strategic input into data-driven systems. You will work closely with data scientists, product managers, and business stakeholders to deliver clarity and direction from complex data landscapes. Key Responsibilities Conduct deep analyses of model predictions, surfacing accuracy issues, blind spots, and feature gaps. Partner with ML engineers to evaluate model drift, define success metrics, and assess performance over time. Perform root cause analysis on key business questions—such as forecast variances, deal slippage, or anomalies in pipeline behavior. Support the development of ground truth datasets and validate model outputs against business expectations. Collaborate with product and strategy teams to assess customer behavior, segment dynamics, and market patterns. Analyze interaction data (calls, emails, CRM updates) to identify patterns in successful deal progression. Contribute to experimentation efforts and comparative analysis of algorithmic improvements or new features. Present findings and recommendations clearly to technical and non-technical audiences. Qualifications 3 to 8 years of experience in analytics, data science, or strategy-oriented roles. Advanced SQL skills with experience working across large-scale relational datasets. Proficiency in Python (Pandas, NumPy, basic ML libraries) for data analysis and statistical exploration. Solid understanding of model evaluation metrics (e.g., AUC, precision/recall, F1, drift metrics). Experience working with messy, real-world data and turning it into reliable insight. Strong problem-solving and communication skills, with the ability to distill complex issues into actionable insights. Comfort operating independently in a fast-moving, cross-functional environment. Bonus: Prior experience with sales analytics, revenue forecasting, or working alongside ML/AI teams. Why Join Aviso AI? At Aviso AI, you’ll work in a collaborative environment alongside talented engineers, product managers, and data scientists. We’re committed to pushing the boundaries of AI and delivering industry-leading solutions that transform how enterprise sales teams operate. You’ll have the opportunity to work on exciting projects that apply advanced AI to real-world business problems and see the direct impact of your work. Show more Show less

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. EY-Consulting – AI Enabled Automation Developer– Senior We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 4 to 6 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation. Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility). Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer : At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. EY-Consulting – AI Enabled Automation Developer– Senior We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 4 to 6 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation. Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility). Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer : At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer : At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer : At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. EY-Consulting – AI Enabled Automation Developer– Senior We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 4 to 6 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation. Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility). Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer : At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer : At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

PLEASE NOTE: THIS ROLE IS ONLY FOR CANDIDATES WITH 5 TO 7 YEARS OF EXPERIENCE About PharmSight PharmSight is a leading innovator in bio-pharma analytics, providing cutting-edge AI-powered solutions that transform product research, market intelligence, and healthcare decision-making. We are dedicated to improving patient outcomes and driving advancements in the pharmaceutical industry through the application of advanced artificial intelligence Why join PharmSight? Competitive Compensation: Best-in-class salary with structured career progression Flexible Work Environment: Option to work from anywhere, at any time Global Client Exposure: Collaborate with leading pharmaceutical companies on impactful projects Career Growth & Recognition: A flat hierarchy with ample opportunities for leadership and professional development Role Overview As an AI Developer/Engineer (LLM) at PharmSight, you will be at the forefront of designing, developing, and deploying generative AI applications using state-of-the-art large language models (LLMs). You will be instrumental in crafting innovative AI solutions that solve complex challenges in bio-pharma analytics, product research, and market intelligence, directly impacting our clients ability to make data-driven decisions. This role demands a unique combination of deep technical expertise, creative problem-solving, and a passion for advancing AI technologies within the healthcare and pharmaceutical domains Key Responsibilities Architect, implement, and optimize large language models (LLMs) such as GPT, LLaMA, and BERT, tailoring them to the specific needs of bio-pharma analytics, product research, and market intelligence Experiment with diverse model architectures, hyperparameters, and training methodologies to maximize performance for targeted healthcare and pharmaceutical applications Fine-tune pre-trained models to address domain-specific challenges, ensuring exceptional accuracy, relevance, and contextual understanding Design and refine prompts to optimize LLM performance in generating accurate, insightful, and actionable outputs Develop instruction-tuning pipelines that align model behavior with specific business objectives and user requirements Continuously iterate on prompt strategies to enhance model interpretability and mitigate the risk of hallucinations or irrelevant outputs Conduct rigorous evaluations of LLMs using industry-standard metrics such as perplexity, BLEU, ROUGE, and domain-specific accuracy scores Perform in-depth error analysis, bias detection, and fairness audits to ensure models meet the highest ethical and regulatory standards Benchmark model performance against industry best practices and competitor solutions to maintain a competitive edge and drive continuous improvement Deploy LLMs into production environments, ensuring scalability, reliability, and low-latency performance to meet the demands of real-world applications Optimize models for inference speed and resource efficiency through techniques like quantization, distillation, and pruning Implement robust monitoring systems to track model performance in real-time and deploy timely updates to address drift or degradation in output quality Collaborate closely with data engineers and analysts to seamlessly integrate LLM outputs into PharmSight’s analytics platforms Leverage graph databases (e.g., vector graphs, hybrid graphs) to enhance structured knowledge extraction from unstructured text Develop APIs and intuitive interfaces that facilitate seamless interaction between LLMs and other critical system components Remain at the forefront of LLM research, actively exploring advancements in areas such as few-shot learning, reinforcement learning from human feedback (RLHF), and multimodal models Prototype and rigorously test emerging techniques to enhance model capabilities and address novel challenges in the bio-pharma domain Contribute findings to open-source projects, publish research insights, and represent PharmSight in AI research communities Work collaboratively with cross-functional teams including data scientists, product managers, and domain experts, ensuring that LLM development is aligned with critical business goals Mentor junior developers and analysts, providing guidance on LLM techniques, coding best practices, and emerging trends in AI Requirements Educational Background: bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field AI & ML Experience: 5-7 years of hands-on experience in AI/ML development, with a strong focus on large language models (LLMs) Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch) Solid understanding of prompt engineering, model optimization, and NLP techniques Healthcare/Pharma Knowledge: A solid understanding of healthcare data, bio-pharma industry dynamics, and regulatory requirements Analytical Mindset: Exceptional problem-solving skills with the ability to translate business needs into innovative AI-driven solutions Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams and explain complex AI concepts to non-technical stakeholders (Bonus Skill) Experience in MLOps (e.g., Docker, Kubernetes, CI/CD pipelines, model monitoring) (Bonus Skill) Proficiency in cloud platforms (AWS, Azure, or GCP) for scalable AI deployment (Bonus Skill) Experience with knowledge graph construction and multimodal data integration (Eg, Neo4j, Entity extraction, nodes extraction) Join Us PharmSight offers a competitive salary, comprehensive benefits package, and the opportunity to work on cutting-edge AI projects that are transforming the pharmaceutical industry. We are committed to fostering a collaborative and innovative work environment where you can grow your skills and make a real impact Interested? Send your CV/Resume to Careers@pharmsight.com , and we’ll get back to you soon! Show more Show less

Title: AI/ML Architect Location: Onsite – Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning, computer vision, and real-time analytics. You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3 rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture &Strategy  Define the end-to-end architecture for AI/ML systems including time series forecasting, computer vision, and real-time classification.  Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices.  Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration  Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support.  Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3 rd party data ingestion). MLOps & Engineering  Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection.  Ensure compliance, security, and auditability of deployed ML models. Collaboration &Leadership  Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals.  Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Show more Show less

We are looking for a hands-on MLOps & CI/CD Engineer to join our fast-paced engineering team. This role is ideal for professionals passionate about deploying and maintaining AI/ML pipelines while enabling robust CI/CD practices across engineering projects. You will be responsible for managing the full lifecycle of machine learning models — from experimentation to deployment and monitoring — while also playing a critical role in designing and managing end-to-end CI/CD pipelines for all software components, ensuring high developer productivity and system reliability. Key Responsibilities MLOps Responsibilities Build and maintain scalable MLOps pipelines using tools like MLflow , Azure ML , or Kubeflow . Operationalise AI agents and LLM-based solutions into production-ready workflows. Deploy and maintain Retrieval-Augmented Generation (RAG) pipelines and manage vector databases . Implement model monitoring, drift detection, and retraining workflows. Collaborate with AI leads to integrate ML models via secure, optimised APIs. CI/CD & DevOps Responsibilities Design and implement CI/CD pipelines for web applications , APIs , agents , and bots . Automate build, test, and deployment processes using Azure DevOps or GitHub Actions . Manage infrastructure through Infrastructure as Code (IaC) using tools like Terraform , Bicep , or ARM templates . Standardise deployment practices across dev , staging , and production environments. Implement containerisation strategies using Docker and orchestrate using Kubernetes (AKS) . Ensure CI/CD processes include automated testing, version control, rollback strategies, and promotion policies. Enhance system observability with robust logging, monitoring, and alerting using Azure Monitor , Prometheus , or Grafana . Required Qualifications Minimum 3 years of experience in MLOps, DevOps, or CI/CD-focused roles. Proficiency in Python and YAML scripting for workflow automation. Strong hands-on experience with Azure Cloud (preferred) or AWS/GCP. Familiarity with ML tools such as MLflow , Azure ML , or Kubeflow . Experience in building and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions . Proficient in Docker , Kubernetes (preferably AKS) , and secure container practices. Good understanding of RESTful APIs , web services, and microservices architecture. Experience with Git workflows ; GitOps is a plus. Bonus Points Experience with LangChain , LangGraph , or other agentic AI frameworks. Exposure to CI/CD for front-end frameworks like React or Next.js . Knowledge of security , compliance , and observability tools. Show more Show less

Role Summary We are seeking a talented and passionate Support Engineer to join the ACE program to contribute to the analysis, Run & Operate activities, small enhancements and Production support of Python rule based and ML models. The individual will be responsible for interacting directly with the U.S business and other teams, perform weekly analysis of data and model outcomes to identify drift and underlying patterns and present the same to business teams. The individual will also be responsible for analysing and resolving any issues on time as per SLA and also make minor enhancements to the python code as needed. Essential Responsibilities Collect & analyze data & reports from application logs and identify discrepancies and patterns Present the analysis outcome to business in a structure template Perform Root cause analysis of issues by collaborating with other teams Identify manual repeatable process and explore opportunities / create scripts to automate them Develop & deploy minor enhancements in Python Perform Exploratory Data Analysis and Feature Engineering for enhancements and model drifts Upskill in AI-ML to start taking up small ML model development work Collaborate with cross-functional teams (e.g., product, engineering, data science) to define and refine business requirements and translate them into technical specifications. Mentor junior team members and contribute to the development of best practices for AI/ML development. Contribute to the creation of technical documentation and presentations. The experience we are looking to add to our team 7 to 10 years of total experience with strong experience in SQL (any database) and data analysis 2+ years of experience in US Healthcare projects with knowledge in Claims & Provider 1+ year of experience in Java, Python or equivalent programming language, and willing to upskill in Python Proactive and self driven and delivery value independently with no guidance Familiarity with Cloud Run, SQL, and other GCP or other equivalent cloud services will be a plus Experience with Vertex AI or other AI/ML platforms is a plus. Willingness to work in Run & Operate project (Analysis, Prod Support & minor enhancements) Good communication and articulation skills Passion for learning new technologies and solving complex problems Willingness to work in 12:00 PM to 9:00 PM or 1:00 PM to 10:00 PM shift Knowledge in AI-ML would be a plus Knowledge in any cloud would be a plus Show more Show less

Job Title: Data Engineer / Analyst – ELT & Feature Store Type: Full-Time Industry: IT / Software Location: Gurgaon, Haryana, India (Required) Experience: 2 Years (Required) Job Summary: We are seeking a hands-on Data Engineer / Analyst to build and optimize ELT pipelines and feature stores that power forecasting and machine learning workflows . You'll work on transforming multi-source datasets into trusted, auditable data products while ensuring data quality, performance, and documentation standards. Key Responsibilities: Build scalable ELT pipelines and star-schema models using TypeScript + Drizzle ORM. Implement data quality checks (nulls, schema drift, outliers) and post-COVID re-weighting logic. Develop and manage feature stores (e.g., holiday events, promo tracking, customer segments). Optimize ingestion and transformation performance using chunked uploads and materialized views. Maintain up-to-date data dictionaries, ERDs, and lineage documentation. Required Skills: Advanced SQL & PostgreSQL tuning TypeScript and/or Python dbt-style modular transformations Git, Docker, and CI/CD basics Good to Have: Experience with Airflow or Airbyte Familiarity with Parquet or columnar formats BI-level validation and support Job Type: Full-time Pay: ₹700,000.00 - ₹1,100,000.00 per year Application Question(s): Do you have at least 2 years of professional experience in a data engineering or analytics role? Are you proficient in writing and optimizing Advanced SQL queries? Have you worked with PostgreSQL and performed query tuning? Are you experienced in TypeScript or Python for data scripting and transformation? Have you built ELT pipelines or transformations using dbt-style (modular, version-controlled) approaches? Have you implemented any data quality checks such as null checks, schema drift detection, or outlier handling? Are you familiar with data orchestration tools like Airflow or Airbyte? Work Location: In person Application Deadline: 07/06/2025

🔍 We're Hiring! – ML Ops Engineer (Remote, India) 📍 Location: Remote (Within India) 💼 Employment Type: Full-Time / Contractor 📅 Start Date: Immediate 🕒 Working Hours: 1:30 PM IST – 10:30 PM IST (Aligned with US CST) 🚀 Join Madlabs Global LLC as we lead the charge in deploying cutting-edge ML and Generative AI solutions at scale! We’re looking for a highly skilled ML Ops Engineer to lead the development, deployment, and lifecycle management of AI/ML models in cloud-native (preferably GCP) environments . 💼 Key Responsibilities Build scalable ML pipelines: ingestion, preprocessing, training, and serving. Collaborate with Data Scientists to turn prototypes into production-ready systems. Deploy and optimize LLM-based applications (instruction-tuned, fine-tuned models). Own continuous learning pipelines: retraining, model drift detection, performance tuning. Automate workflows using CI/CD , MLFlow , orchestration tools. Leverage GCP services like Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Functions. Use Docker & Kubernetes to containerize and orchestrate model deployments. Monitor model performance with Prometheus, TensorBoard, Grafana, etc. Ensure security, fairness, and compliance across ML systems. 🧠 Required Experience 8+ years in ML Engineering, MLOps, or AI Infrastructure roles. Strong coding skills in Python with frameworks like TensorFlow, PyTorch, Scikit-learn. Deep expertise in GCP-native ML stacks . Hands-on experience in Generative AI model deployment and model optimization . Proficiency in Docker, Kubernetes, Jenkins, GitLab CI/CD . Solid understanding of model monitoring, versioning, rollback, and governance. 🕘 Work Hours Fully remote (India-based) Must provide overlap with CST time zone – working hours: 1:30 PM IST to 10:30 PM IST 💬 Interested or want to learn more? 📞 Contact: +91 98868 11767 📧 Email: naveed@madlabsinfotech.com Apply now or DM us to explore this opportunity to work with a team pushing the boundaries of AI innovation! #Hiring #MLOps #MachineLearning #GenerativeAI #LLM #VertexAI #RemoteJobsIndia #DataEngineering #AIJobs #GCP #DevOpsForAI #MLDeployment #LinkedInJobs Show more Show less

🚀 Drone Spraying Champion Locations: Kerala | Tamil Nadu | Andhra Pradesh • Full-time • On-site About Leher We’re re-imagining Indian agriculture with autonomous drones that make input application smarter, cleaner, and climate-positive. If you love the smell of fresh fields and the buzz of rotors, you’ll feel right at home. Why You’ll Love Flying with Us Industry-leading rewards – top-quartile salary + uncapped mission incentives Next-gen fleet – fly the latest drones with the best flight stacks Purpose, not paperwork – every sortie directly lifts farmer incomes and cuts chemical drift Culture of trust – high autonomy, zero bureaucracy, and a crew that has your back Your Flight Plan Execute precision-spray missions end-to-end (pre-checks → flight → post-ops) on the targeted acres/ha Deliver 95 %+ farmer satisfaction through flawless etiquette and on-field support Audit and log every flight for safety, data accuracy, and regulatory compliance Coach co-pilots on drone best practices Champion Leher’s Code of Ethical Flying – integrity, transparency, respect, and zero shortcuts What Gets You Cleared for Take-off Minimum 1,000 + sprayed acres (≈ 400 ha) on agri-UAVs DGCA remote-pilot licence Crisp communication in local language + Hindi or English; farmer-first mindset Cool under pressure, ethical to the core, obsessed with safety Rewards Package Compensation: Best-in-class fixed salary + flight-linked incentives (no cap) Perks: Medical cover, travel allowances, quarterly up-skilling programs Growth: Fast-track path to Fleet Squadron or Drone-Trainer in 12–18 months Lift off with Leher. Spray smarter. Grow greener. 🌱🚁 Show more Show less

⭐ Job Title: Machine Learning Engineer ⭐ Reporting To: Technical Lead ⭐ Job Type: Full-time, Permanent ⭐ Location: Whitefield, Bangalore 🔥 ABOUT THE COMPANY Formee Holdings is a multinational organization developing a portfolio of new and exciting brands in the tech and retail spaces. Formee Express, Formee, Tela Mela and Formee Jewlery are all brands under our umbrella; our fields of business are in e-commerce, EdTech and F&B industries. We are currently headquartered in Melbourne, Australia, with offices also in India, Malaysia, Canada, China, Philippines, US, and UK. Needless to say, our teams are diverse and innovative! At Formee Holdings, we value independence, flexibility, career and personal growth. We're a fast-growing Edu-tech company that embraces innovation and encourages our team members to push boundaries and reach new heights. With Formee Holdings, you will get an opportunity to work with a diverse team in different parts of the world. There is a huge potential for learning and growth. JOB OVERVIEW We are looking for a Machine Learning Engineer to design and build a conversational AI chatbot for public use. The chatbot will provide accurate, empathetic responses to a diverse audience, handling a wide range of queries while ensuring scalability, security, and accessibility. You’ll collaborate with our technology and UX teams to create a tool that aligns with Formee’s mission of community support. The ideal candidate will have a strong background in building a conversational AI model and a passion for applying AI techniques to solve real-world problems. KEY RESPONSIBILITIES Model Development & Innovation: Design, prototype, and optimize scalable deep learning architectures focused on natural language understanding and generation. Leverage techniques such as reinforcement learning from human feedback (RLHF) and instruction tuning to enhance conversational performance. Experiment with prompt engineering and develop methodologies to improve model interpretability and alignment with user intent. Research & Experimentation: Stay abreast of advances in NLP, deep learning, and generative AI by reviewing academic literature and industry trends. Lead proof-of-concept experiments and iterative development cycles to assess and validate novel approaches. System Integration & Deployment: Collaborate with software and data engineers to integrate AI models into production pipelines using MLOps best practices. Monitor live systems for model drift and other performance issues; implement mechanisms for continuous improvement and retraining. Cross-Functional Leadership: Work closely with product, design, and business teams to translate customer feedback and market trends into actionable technical requirements. Help set strategic roadmaps for AI research and guide development efforts in line with ethical AI principles and regulatory compliance. 🎯 SKILLS REQUIRED Technical Expertise: Expertise in designing and training a deep learning model from scratch using frameworks such as Tensorflow or PyTorch . Hands-on experience in designing, training, and fine-tuning large-scale Neural Language Models. In-depth knowledge of deep learning architectures, particularly Transformer models , and familiarity with techniques like reinforcement learning from human feedback (RLHF) and instruction tuning. Proficiency in natural language processing (NLP) fundamentals, including attention mechanisms, context window management, and prompt engineering. Strong programming skills in Python and familiarity with modern data pipelines. Experimental & Research Acumen: Demonstrable track record in conducting rigorous, iterative experiments—such as hyperparameter tuning, ablation studies, and performance benchmarking —to optimize model performance and alignment. A history of research contributions, which could include peer-reviewed publications, open-source contributions, or patents in areas related to AI, deep learning, or NLP. Additional Skills and Traits: Strong mathematical foundation, especially in linear algebra, calculus, probability, and statistics , to support algorithm development and optimization. Ability to dive into complex, large codebases to debug, optimize, and iterate on models. ⭐ ABOUT YOU You're curious about new technologies and Artificial Intelligence and you are driven to find ways to implement them in your work. You have a big appetite to learn and improve your technical skills. You are analytical and you have a keen eye for detail. You have great problem-solving skills, and you work well in a team. You have knowledge of the entire web development process. Excited to use and explore new generative AI tools for software engineering tasks on a day-to-day basis. Show more Show less

Job Requisition ID # 25WD85491 Position Overview We are looking for an experienced Principal Software Engineer to join our platform team focusing on AI/ML Platform (AMP). This team builds and maintains central components to fast track the development of new ML/AI models such as model development studio, feature store, model serving and model observability. The ideal candidate would have a background in ML Ops, Data engineering and DevOps with the experience of building high scale deployment architectures and observability. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that inspire value for our organization. You will report directly to an Engineering Manager, and you will be based in Pune. Responsibilities System design: You will design, implement and manage software systems for the AI/ML Platform and orchestrate the full ML development lifecycle for the partner teams Mentoring: Spreading your knowledge, sharing best practices and doing design reviews to step up the expertise at the team level Multi-cloud architecture: Define components which leverages strengths from multiple cloud platforms (e.g., AWS, Azure) to optimize performance, cost, and scalability AI/ML observability: You will build systems for monitoring performance of AI/ML models and find insights on the underlying data such as drift detection, data fairness/bias and anomalies ML Solution Deployment: You will develop tools for building and deploying ML artefacts in production environments and facilitating a smooth transition from development to deployment Big Data Management: Automate and orchestrate tasks related to managing big data transformation and processing and build large-scale data stores for ML artifacts Scalable Services: Design and implement low-latency, scalable prediction, and inference services to support the diverse needs of our users Cross-Functional Collaboration: Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations, fostering a collaborative and cohesive work environment End-to-end ownership: You will take the end-to-end ownership of the components and work with other engineers in the team including design, architecture, implementation, rollout and onboarding support to partner teams, production on-call support, testing/verification, investigations etc Minimum Qualifications Educational Background: Bachelor’s degree in Computer Science or equivalent practical experience Experience: Over 8 years of experience in software development and engineering, delivering production systems and services Prior experience of working with MLOps team at the intersection of the expertise across ML model deployments, DevOps and data engineering Hands-on skills: Ability to fluently translate the design into high quality code in golang, python, Java Knowledge of DevOps practices, containerization, orchestration tools such as CI/CD, Terraform, Docker, Kubernetes, Gitops Demonstrate knowledge of distributed data processing frameworks, orchestrators, and data lake architectures using technologies such as Spark, Airflow, iceberg/ parquet formats Prior collaborations with Data science teams to deploy their models, setting up ML observability for inference level monitoring Exposure for building RAG based applications by collaborating with other product teams, Data scientists/AI engineers Demonstrate creative problem-solving skills with the ability to break down problems into manageable components Knowledge of Amazon AWS and/or Azure cloud for solutioning large scale application deployments Excellent communication and collaboration skills, fostering teamwork and effective information exchange Preferred Qualifications Experience in integrating with third party vendors Experience in latency optimization with the ability to diagnose, tune, and enhance the efficiency of serving systems Familiarity with tools and frameworks for monitoring and managing the performance of AI/ML models in production (e.g., MLflow, Kubeflow, TensorBoard) Familiarity with distributed model training/inference pipelines using (KubeRay or equivalent) Exposure to leveraging GPU computing for AI/ML workloads, including experience with CUDA, OpenCL, or other GPU programming tools, to significantly enhance model training and inference performance Exposure to ML libraries such as PyTorch, TensorFlow, XGBoost, Pandas, and ScikitLearn Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). Show more Show less

As a Senior MLOps Engineer, you will be responsible for a wide range of engagements, listed below: Can guide the team to build a scalable MLOps platform and work with business architects to implement and expand the MLOps setup. Has worked on deploying ML models to production and has experience with model monitoring, inferencing, drift concepts, feature stores, etc. Has a good understanding of how ML algorithms work and how to debug issues in the code. Has deployed applications using containers and container orchestration. Manages conversations with client stakeholders to understand requirements and translate them into technical outcomes. Responsible for bridging the gap between machine learning and software engineering, focusing on deployment, scaling, and management of ML models in production environments. A developer focused on streamlining the process of developing, deploying, and maintaining ML systems to ensure they are efficient, scalable, and reliable. Has a strong conceptual understanding of the ML lifecycle and various ML algorithms. Has worked on at least one cloud platform and its ML-as-a-Service Skills and Experience : Strong understanding of DevOps practices and skilled in developing end-to-end CI/CD pipelines. Execution knowledge of data modeling, databases (SQL and NoSQL), software development lifecycle practices, unit testing, functional programming, etc. Experience with one or more ML-as-a-Service platforms, such as Azure DevOps, Dataiku, or equivalent open-source tools. Proficient in at least one programming language used in data engineering, such as Python. Strong knowledge of Snowflake. Experience working on at least one cloud : Good business understanding. Logical thinking and problem-solving skills. Ability to collaborate effectively. Capable of analysing problems and developing actionable, tactical plans quickly. Good managerial skills and team leadership capabilities. Strong verbal and written communication skills. Good stakeholder management skills. Exercises independent judgment within defined practices and procedures. Demonstrated ability to mentor juniors. (ref:hirist.tech) Show more Show less

Company Description Maghraut Technologies is a startup that focuses on helping businesses utilize data, cloud platforms, and AI in practical ways. The company works across platforms like Salesforce, Google Cloud, and AWS, offering services to improve how companies operate, make decisions, and grow. Maghraut Technologies creates custom solutions for both large companies and small-to-medium businesses to solve real problems and enhance their use of data, systems, and cloud tools. Role Description We are seeking a proactive and creative Workflow Automation Analyst – Intern to join our Automation & Integration team. In this role, you will design, implement, and manage automated workflows that connect SaaS platforms, APIs, marketing tools, and social media apps using tools like n8n, Zapier, and JavaScript/Python scripting. You'll be working on automations involving communication platforms (like WhatsApp and Twilio), social media (Facebook, LinkedIn, Twitter), and marketing automation systems (like Salesforce Pardot, Mailchimp, and HubSpot). Key Responsibilities Build No-Code/Low-Code Automations using n8n, Zapier, Make.com, and similar tools Integrate APIs for WhatsApp (Cloud API or Twilio), Facebook Pages, LinkedIn, Twitter, Slack, etc. Automate marketing campaigns using platforms like Salesforce Pardot, Mailchimp, and HubSpot Design custom scripts using JavaScript and Python to enable advanced logic within workflows Build and monitor webhook-based integrations for real-time data sync between services Use tools like Airtable, Notion, Google Sheets, and CRMs to manipulate structured data Automate business processes such as lead capture, messaging, alerts, reports, and data transformation Maintain and document reusable automation frameworks and modular integrations Collaborate with team members and stakeholders to analyze requirements and propose scalable automation solutions Qualifications (Preferred but not mandatory)< /p> Experience with OAuth 2.0 and API authentication flows Basic understanding of CRMs like Salesforce, Zoho, or HubSpot Familiarity with analytics platforms like Google Analytics or Meta Insights Prior hands-on work with LinkedIn Campaign Manager, Facebook Ads API, or Twitter Developer API Exposure to chatbot platforms or customer engagement tools (e.g., Intercom, Drift, Dialogflow) What We Offer Hands-on experience with cutting-edge tools and real-world projects Mentorship from senior automation experts and solution architects Flexible remote work setup with an open, collaborative culture Access to training resources and certification support Possibility of full-time placement post-internship Show more Show less

Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps, and Role Description Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation. What We’re Looking For Bachelor's or Master's degree or higher in Computer Science, Data Sciences-Machine Learning, Engineering, or related fields. Strong experience with ML Ops tools (Kubeflow, ML flow, TFX, Sage Maker, etc.). Experience with LLM-specific tools and frameworks ( LangChain, Lang Graph, LlamaIndex, Hugging Face, OpenAI APIs, Vector DBs like Pinecone, FAISS, Weavite, Chroma DB etc.). Solid experience in deploying models in cloud (AWS, Azure, GCP) and on-prem environments. Proficient in containerization (Docker, Kubernetes) and CI/CD practices. Familiarity with monitoring tools like Prometheus, Grafana, and ML observability platforms. Strong coding skills in Python, Bash, and familiarity with infrastructure-as-code tools (Terraform, Helm, etc.).Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Strong skills in Giskard, Deepeval etc. Qualifications Bachelor or Masters or Higher in Computer Sciences, Data Sciences, or any related field 3+ years to 7 Years of experience in deploying ML/DL and LLM based solutions in large scale deployment environment or related experience Experience with fine-tuning LLMs and serving them in production at scale. Knowledge of model compression techniques for LLMs (LoRA, QLoRA, quantization-aware training). Experience with distributed systems and high-performance computing for large-scale model serving. Awareness of AI fairness, explainability, and governance frameworks. What You Should Expect in This Role Fully Remote Opportunity – Work from anywhere in the U.S. / India Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Show more Show less

Job Description The threat to data has never been greater. Oracle Database helps reduce the risk of a data breach and simplifies regulatory compliance with security solutions for encryption and key management, granular access controls, flexible data masking, comprehensive activity monitoring, and sophisticated auditing capabilities. Oracle Data Safe is a cloud service built on top of OCI offering database security posture management for all your Oracle Databases, on-premises or in the cloud. Assess security, detect configuration and user drift, find and mask sensitive data, and collect audit data for analysis, alerting, and reporting. With the newly in-database SQL Firewall policy management, it provides intelligence to detect malicious activities and SQL injection attack. Career Level - IC4 Responsibilities You will be joining a team of security dedicated professionals building a state-of-the-art security cloud solution to secure the sensitive data in mission critical databases. We will apply genAI technologies to solve challenging security problems. Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. Requirements: 8 to 14 years of experience in building scalable enterprise software B.Tech. / M.Tech. in Computer Science from a premier institute Proficient in large systems design Proficient in REST model design Programming experience in Java, Python Working knowledge in relational database and SQL Working knowledge in security concepts Knowledge in Oracle database, OCI(Oracle Cloud Infrastructure) is a plus Excellent team player with positive attitude Good communication skills Career Level - IC4 More information on our products and solutions, visit https://www.oracle.com/security/database-security About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less