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

Job Title: AI/ML Developer (5 Years Experience) Location : Remote Job Type : Full-time Experience:5 Year Job Summary: We are looking for an experienced AI/ML Developer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate should have strong knowledge of machine learning algorithms, data preprocessing, model evaluation, and experience with production-level ML pipelines. Key Responsibilities Model Development : Design, develop, train, and optimize machine learning and deep learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. Data Engineering : Work with data scientists and engineers to preprocess, clean, and transform structured and unstructured datasets. ML Pipelines : Build and maintain scalable ML pipelines using tools such as MLflow, Kubeflow, Airflow, or SageMaker. Deployment : Deploy ML models into production using REST APIs, containers (Docker), or cloud services (AWS/GCP/Azure). Monitoring and Maintenance : Monitor model performance and implement retraining pipelines or drift detection techniques. Collaboration : Work cross-functionally with data scientists, software engineers, and product managers to integrate AI capabilities into applications. Research and Innovation : Stay current with the latest advancements in AI/ML and recommend new techniques or tools where applicable. Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 5 years of experience in AI/ML development. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Strong understanding of statistics, data structures, and ML/DL algorithms. Experience with cloud platforms (AWS/GCP/Azure) and deploying ML models in production. Experience with CI/CD tools and containerization (Docker, Kubernetes). Familiarity with SQL and NoSQL databases. Excellent problem-solving and communication skills. Preferred Qualifications Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK). Knowledge of MLOps best practices and tools. Experience with version control systems like Git. Familiarity with big data technologies (Spark, Hadoop). Contributions to open-source AI/ML projects or publications in relevant fields. 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 are hiring a, high-agency ML/AI Engineer to architect and deliver cutting-edge AI solutions for our enterprise clients. This isn't just another ML engineering role - you'll be the technical owner driving complex AI projects end-to-end, from ideation through production deployment and ongoing monitoring and improvement. You'll spend your time: 50% building robust, scalable AI systems that solve real business problems 25% researching and prototyping innovative solutions using the latest AI advances 25% collaborating with clients and stakeholders to translate business needs into technical solutions About think bridge think bridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think ’ers to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At thinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking. think bridge is a place where you can: Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues. Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done. Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship. think bridge.. there’s a new way there. Why This Role Is Different True Ownership: You'll be the technical architect making critical design decisions, not just implementing someone else's vision Production Focus: We need someone who's deployed models/systems AND kept them running - monitoring drift, handling failures, improving performance Diverse Projects: From GenAI applications (65%) to classical ML solutions (35%), across Retail, HRTech, Fintech, and Healthcare domains Technical Architecture: Design systems and guide implementation decisions without the overhead of formal people management What is expected of you? As part of the job, you will be required to Architect end-to-end ML/AI solutions that actually work in production Build and maintain production-grade systems with proper monitoring, alerting, and continuous improvement Make strategic technical decisions on approach, tools, and implementation Translate complex AI concepts into business value for clients Set technical direction for project teams through architecture and best practices Stay current with AI research and identify practical applications for client problems If your beliefs resonate with these, you are looking at the right place! Accountability –Finish what you started Communication–Context aware, pro-active, and clean communication Outcome –High throughput Quality –High-Quality work and consistency Ownership –Go Beyond Requirements Must have technical skills Strong Python proficiency with production ML experience Hands-on experience deploying AND maintaining ML systems in production Experience with both GenAI (LLMs, RAG systems) and classical ML techniques Understanding of ML monitoring, drift detection, and model lifecycle management Cloud deployment experience (Azure knowledge helpful; AWS experience highly valued) Containerization and basic MLOps practices Good to have technical skills Experience fine-tuning open-source models to match/beat proprietary models Advanced MLOps (CI/CD for ML, A/B testing, feature stores) Published work (papers, blogs, open-source contributions) Experience with streaming/real-time ML systems What We're Really Looking for Beyond technical skills, we need someone who: Takes initiative and drives projects without waiting for instructions Has actually felt the pain of their own technical decisions in production Can explain "why this approach" to both engineers and business stakeholders Thinks critically about when to use (and when NOT to use) GenAI Has opinions about ML best practices based on real experience Our Flagship Policies and Benefits: Work from anywhere! Flexible work hours All leaves taken are paid leaves Family Insurance Quarterly Collaboration Week Show more Show less

🔍 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

About Us Join us in building the future of work! We're creating an AI-powered marketplace that connects enterprises with a global network of skilled knowledge workers. Our platform leverages cutting-edge AI to ensure seamless task execution, predict demand, and create win-win scenarios for everyone involved. If you're passionate about AI and its potential to transform industries, this is the place for you. The Opportunity As a Senior Machine Learning Engineer, you'll be at the heart of our AI innovation. You'll architect and deploy sophisticated ML models that drive our marketplace, empowering millions of knowledge workers and transforming how businesses operate. This is a high-impact role where your work will directly shape the future of our platform and the global knowledge economy. Location: Hyderabad/Bangalore, India (Full-Time) What You'll Do Develop and Deploy Advanced ML Models: Create innovative models for predictive analysis, skill matching, risk mitigation, and AI-assisted task execution. Build Intelligent Systems: Design and implement real-time guidance systems for knowledge workers, enhancing efficiency and accuracy. Optimize for Scale: Work with data engineering to build scalable data pipelines and ensure robust, high-performance model deployments. Drive Innovation: Explore and implement emerging AI paradigms like generative models, reinforcement learning, and advancements toward AGI. Improve Model Performance: Conduct A/B testing, MAB, and hyperparameter tuning to continuously enhance model accuracy and efficiency. Collaborate Cross-Functionally: Partner with product and design teams to align AI solutions with business objectives. Monitor and Maintain: Oversee production model performance, address data drift, and iterate for continuous improvement. What You Bring: Deep ML Expertise: 5+ years of experience in machine learning and data science, with a proven track record of deploying models at scale. Technical Mastery: Proficiency in Python, advanced ML frameworks, algorithms, and data structures. Cloud Experience: Expertise in deploying models on cloud platforms. Specialized Skills: Strong background in recommendation systems, NLP, and predictive analysis. Leadership and Communication: Excellent strategic thinking, communication, and mentoring abilities. Education: Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience). Bonus Points: PhD in Machine Learning or AI. Experience in marketplace platforms, gig economies, or talent ecosystems. Why Join Us? Make a Real Impact: Your work will directly influence a platform that empowers millions. Innovative Environment: Be part of a team pushing the boundaries of AI. Career Growth: Opportunities to learn, lead, and grow within a fast-paced company. Competitive Compensation: We offer competitive salaries and benefits. Ready to Shape the Future of Knowledge Work? Apply Now! Show more Show less

About Us Join us in building the future of work! We're creating an AI-powered marketplace that connects enterprises with a global network of skilled knowledge workers. Our platform leverages cutting-edge AI to ensure seamless task execution, predict demand, and create win-win scenarios for everyone involved. If you're passionate about AI and its potential to transform industries, this is the place for you. The Opportunity As a Senior Machine Learning Engineer, you'll be at the heart of our AI innovation. You'll architect and deploy sophisticated ML models that drive our marketplace, empowering millions of knowledge workers and transforming how businesses operate. This is a high-impact role where your work will directly shape the future of our platform and the global knowledge economy. Location: Hyderabad/Bangalore, India (Full-Time) What You'll Do Develop and Deploy Advanced ML Models: Create innovative models for predictive analysis, skill matching, risk mitigation, and AI-assisted task execution. Build Intelligent Systems: Design and implement real-time guidance systems for knowledge workers, enhancing efficiency and accuracy. Optimize for Scale: Work with data engineering to build scalable data pipelines and ensure robust, high-performance model deployments. Drive Innovation: Explore and implement emerging AI paradigms like generative models, reinforcement learning, and advancements toward AGI. Improve Model Performance: Conduct A/B testing, MAB, and hyperparameter tuning to continuously enhance model accuracy and efficiency. Collaborate Cross-Functionally: Partner with product and design teams to align AI solutions with business objectives. Monitor and Maintain: Oversee production model performance, address data drift, and iterate for continuous improvement. What You Bring: Deep ML Expertise: 5+ years of experience in machine learning and data science, with a proven track record of deploying models at scale. Technical Mastery: Proficiency in Python, advanced ML frameworks, algorithms, and data structures. Cloud Experience: Expertise in deploying models on cloud platforms. Specialized Skills: Strong background in recommendation systems, NLP, and predictive analysis. Leadership and Communication: Excellent strategic thinking, communication, and mentoring abilities. Education: Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience). Bonus Points: PhD in Machine Learning or AI. Experience in marketplace platforms, gig economies, or talent ecosystems. Why Join Us? Make a Real Impact: Your work will directly influence a platform that empowers millions. Innovative Environment: Be part of a team pushing the boundaries of AI. Career Growth: Opportunities to learn, lead, and grow within a fast-paced company. Competitive Compensation: We offer competitive salaries and benefits. Ready to Shape the Future of Knowledge Work? Apply Now! Show more Show less

Join the Future of Supply Chain Intelligence — Powered by Agentic AI At Resilinc, we’re not just solving supply chain problems — we’re pioneering the intelligent, autonomous systems that will define its future. Our cutting-edge Agentic AI enables global enterprises to predict disruptions, assess impact instantly, and take real-time action — before operations are even touched. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Risk Management, we are trusted by marquee clients across life sciences, aerospace, high tech, and automotive to protect what matters most — from factory floors to patient care. Our advantage isn’t just technology — it’s the largest supplier-validated data lake in the industry, built over 15 years and constantly enriched by our global intelligence network. It’s how we deliver multi-tier visibility, real-time risk assessment, and adaptive compliance at scale. But the real power behind Resilinc? Our people. We’re a fully remote, mission-driven global team, united by one goal: ensuring vital products reach the people who need them — when and where they need them. Whether it’s helping ensure cancer treatments arrive on time or flagging geopolitical risks before they disrupt critical supply lines, you’ll see your impact every day. If you're passionate about building technology that matters, driven by purpose, and being an agent of change who is ready to shape the next era of self-healing supply chains, we’d love to meet you. Resilinc | Innovation with Purpose. Intelligence with Impact. About The Role At Resilinc, we build intelligent systems that safeguard the global supply chain. As a pioneer in supply chain risk management, we’re pushing the boundaries of resilience with AI-powered platforms. We are building a team of forward-thinking Agent Hackers (AI SDETs) to join our mission. What’s an Agent Hacker? It’s not just a title — it’s a mindset. You’re the kind of engineer who goes beyond traditional QA, probing the limits of autonomous agents, reverse-engineering their behavior, and designing smart, self-evolving test frameworks. In this role, you’ll be at the forefront of testing cutting-edge technologies, including Large Language Models (LLMs), AI agents, and Generative AI systems. You’ll play a critical role in validating the performance, reliability, fairness, and transparency of AI-powered applications—ensuring they meet high standards for both quality and responsible use. If you think like a tester, code like a developer, and break systems like a hacker — Resilinc is your proving ground. What You Will Do Develop and implement QA strategies for AI-powered applications, focusing on accuracy, bias, fairness, robustness, and performance. Design and execute automated and manual test cases to validate AI Agents/LLM models, APIs, and data pipelines and good understanding of data integrity, data models, etc Assess AI models using quality metrics such as precision/recall, and hallucination detection. Test AI models for bias, fairness, explainability (XAI), drift, and adversarial robustness. Validate prompt engineering, fine-tuning techniques, and model-generated responses for accuracy and ethical AI considerations. Service/tool development Conduct scalability, latency, and performance testing for AI-driven applications. Collaborate with data engineers to validate data pipelines, feature engineering processes, and model outputs. Design, develop, and maintain automation scripts using Selenium and Playwright for API and web testing Work closely with cross-functional teams to integrate automation best practices into the development lifecycle Identify, document, and track bugs while conducting detailed regression testing to ensure product quality. What You Will Bring Proven expertise in testing AI models, LLMs, and Generative AI applications, with hands-on experience in AI evaluation metrics and testing tools like Arize, MAIHEM, and LangTest. Strong proficiency in Python for writing test scripts and automating model validation, along with a deep understanding of AI bias detection, adversarial testing, model explainability (XAI), and AI robustness. Demonstrate strong SQL expertise for validating data integrity and backend processes, particularly in PostgreSQL and MySQL. Strong analytical and problem-solving skills with keen attention to detail, along with excellent communication and documentation abilities to convey complex testing processes and results. If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com. Benefits We offer comprehensive benefits that are specific to each country. Your talent acquisition contact can provide you with a FAQ list for your country. Everyone at Resilinc is eligible for healthcare coverage, retirement benefits, paid time off and learning and development opportunities. To learn more about Resilinc, visit our website: Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc Show more Show less

Join the Future of Supply Chain Intelligence — Powered by Agentic AI At Resilinc, we’re not just solving supply chain problems — we’re pioneering the intelligent, autonomous systems that will define its future. Our cutting-edge Agentic AI enables global enterprises to predict disruptions, assess impact instantly, and take real-time action — before operations are even touched. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Risk Management, we are trusted by marquee clients across life sciences, aerospace, high tech, and automotive to protect what matters most — from factory floors to patient care. Our advantage isn’t just technology — it’s the largest supplier-validated data lake in the industry, built over 15 years and constantly enriched by our global intelligence network. It’s how we deliver multi-tier visibility, real-time risk assessment, and adaptive compliance at scale. But the real power behind Resilinc? Our people. We’re a fully remote, mission-driven global team, united by one goal: ensuring vital products reach the people who need them — when and where they need them. Whether it’s helping ensure cancer treatments arrive on time or flagging geopolitical risks before they disrupt critical supply lines, you’ll see your impact every day. If you're passionate about building technology that matters, driven by purpose, and being an agent of change who is ready to shape the next era of self-healing supply chains, we’d love to meet you. Resilinc | Innovation with Purpose. Intelligence with Impact. About The Role At Resilinc, we build intelligent systems that safeguard the global supply chain. As a pioneer in supply chain risk management, we’re pushing the boundaries of resilience with AI-powered platforms. We are building a team of forward-thinking Agent Hackers (AI SDETs) to join our mission. What’s an Agent Hacker? It’s not just a title — it’s a mindset. You’re the kind of engineer who goes beyond traditional QA, probing the limits of autonomous agents, reverse-engineering their behavior, and designing smart, self-evolving test frameworks. In this role, you’ll be at the forefront of testing cutting-edge technologies, including Large Language Models (LLMs), AI agents, and Generative AI systems. You’ll play a critical role in validating the performance, reliability, fairness, and transparency of AI-powered applications—ensuring they meet high standards for both quality and responsible use. If you think like a tester, code like a developer, and break systems like a hacker — Resilinc is your proving ground. What You Will Do Develop and implement QA strategies for AI-powered applications, focusing on accuracy, bias, fairness, robustness, and performance. Design and execute automated and manual test cases to validate AI Agents/LLM models, APIs, and data pipelines and good understanding of data integrity, data models, etc Assess AI models using quality metrics such as precision/recall, and hallucination detection. Test AI models for bias, fairness, explainability (XAI), drift, and adversarial robustness. Validate prompt engineering, fine-tuning techniques, and model-generated responses for accuracy and ethical AI considerations. Service/tool development Conduct scalability, latency, and performance testing for AI-driven applications. Collaborate with data engineers to validate data pipelines, feature engineering processes, and model outputs. Design, develop, and maintain automation scripts using Selenium and Playwright for API and web testing Work closely with cross-functional teams to integrate automation best practices into the development lifecycle Identify, document, and track bugs while conducting detailed regression testing to ensure product quality. What You Will Bring Proven expertise in testing AI models, LLMs, and Generative AI applications, with hands-on experience in AI evaluation metrics and testing tools like Arize, MAIHEM, and LangTest. Strong proficiency in Python for writing test scripts and automating model validation, along with a deep understanding of AI bias detection, adversarial testing, model explainability (XAI), and AI robustness. Demonstrate strong SQL expertise for validating data integrity and backend processes, particularly in PostgreSQL and MySQL. Strong analytical and problem-solving skills with keen attention to detail, along with excellent communication and documentation abilities to convey complex testing processes and results. If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com. Benefits We offer comprehensive benefits that are specific to each country. Your talent acquisition contact can provide you with a FAQ list for your country. Everyone at Resilinc is eligible for healthcare coverage, retirement benefits, paid time off and learning and development opportunities. To learn more about Resilinc, visit our website: Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Engineering Support:(Manager, Data Operations & Management_G4_EDAA0605_EDAA0606_EDAA0607_EDAA0608_EDAA0609) As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers—enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams. Who we’re looking for: Primary Responsibilities: Data Quality Engineering & Monitoring Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift. Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer). Data Quality Operations Respond to and resolve data quality incidents and discrepancies across data domains and systems. Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies. Establish SLAs and alerting thresholds for data quality KPIs. Cloud Platform Integration Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue). Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection. Governance Alignment Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models. Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking. Documentation, Enablement & Collaboration Maintain playbooks, documentation, and automated reporting for quality audits and exception handling. Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership. Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging. Skill: 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment. Hands-on expertise in: Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches) SQL and Python for quality validation and automation Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra) Strong troubleshooting skills across distributed data systems and pipelines. Bachelor’s degree in Computer Science, Information Systems, or related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements. Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models. Exposure to AI/ML data pipelines and the impact of data quality on model performance. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less