3795 Pytorch Jobs - Page 20

Client: Intra Edge Payroll: People Prime Job Description Title: ML/AI Engineer Location: Chennai Job Requirement: Machine Learning & AI Engineer specializing in semantic and image matching, entity resolution, and recommendation systems. Skilled in leveraging deep learning, NLP, and vector search technologies (CLIP, SBERT, FAISS) to build scalable and accurate product-matching solutions for e-commerce and B2B applications. Passionate about optimizing data-driven pricing strategies and enhancing customer experience through AI-powered solutions. Key Responsibilities: • Developed scalable product matching pipelines using CLIP, SBERT, MPNet, and FAISS for multi-modal (text + image) matching. • Implemented vector search & hybrid matching models combining deep learning and rule-based heuristics for high-accuracy matching. • Improved SKU normalization & deduplication for retail and B2B marketplaces, increasing match accuracy. • Designed a real-time product-matching API using Python, FastAPI for seamless integration across platforms. • Worked with PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers to fine-tune models on large-scale product datasets. • Collaborated with business and data teams to integrate AI-driven pricing insights into dynamic pricing models. Requirements Required Skills & Qualification: • Experience: 5+ Years in Machine Learning, NLP, or Computer Vision. • Machine Learning: Strong knowledge of NLP, embedding, similarity search, clustering. • Tech Stack: Python, PyTorch/TensorFlow, FAISS, SQL, NoSQL. • Search & Retrieval: Experience with vector databases (FAISS, Pinecone, Weaviate, Elasticsearch). • Cloud & Deployment: Azure/GCP, MLOps, API development (FastAPI, Flask). • E-Commerce & Pricing: Understanding of Product matching models, search and recommendation models. Show more Show less

Our client is founded in 2002 with offices in the US, India, Europe, Canada, Singapore, Costa Rica, Brazil, and the UK they got national and international scope and reach, backed by decades of experience and deep domain expertise. They specialize in Products such as AI Governance/Data Privacy and Services such as Interactive (Product, Discovery, Research, User Journey, Prototyping), Talent, Cloud (Development, Transformation, SRE, Architecture), Engineering (Web, Mobile, Strategy), Enterprise (Salesforce, ServiceNow, SAP, Oracle, Microsoft, Workday), Training (Corporate Learning Design and Development), and building offshore cost-effective captive Global Capability Centers. Job Requirement: Machine Learning & AI Engineer specializing in semantic and image matching, entity resolution, and recommendation systems. Skilled in leveraging deep learning, NLP, and vector search technologies (CLIP, SBERT, FAISS) to build scalable and accurate product-matching solutions for e-commerce and B2B applications. Passionate about optimizing data-driven pricing strategies and enhancing customer experience through AI-powered solutions. Job Title : AI/ML Engineer Key Skills : Python, AI, ML, Azure Job Locations : Chennai Experience : 5 to 8 years Education Qualification : BE/B.Tech/Any other science disciplines Work Mode : Hybrid. Employment Type : Contract. Notice Period : Immediate - 15 Days Key Responsibilities: • Developed scalable product matching pipelines using CLIP, SBERT, MPNet, and FAISS for multi-modal (text + image) matching. • Implemented vector search & hybrid matching models combining deep learning and rule-based heuristics for high-accuracy matching. • Improved SKU normalization & deduplication for retail and B2B marketplaces, increasing match accuracy. • Designed a real-time product-matching API using Python, FastAPI for seamless integration across platforms. • Worked with PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers to fine-tune models on large-scale product datasets. • Collaborated with business and data teams to integrate AI-driven pricing insights into dynamic pricing models. Required Skills & Qualification: • Experience: 5+ Years in Machine Learning, NLP, or Computer Vision. • Machine Learning: Strong knowledge of NLP, embedding, similarity search, clustering. • Tech Stack: Python, PyTorch/TensorFlow, FAISS, SQL, NoSQL. • Search & Retrieval: Experience with vector databases (FAISS, Pinecone, Weaviate, Elasticsearch). • Cloud & Deployment: Azure/GCP, MLOps, API development (FastAPI, Flask). • E-Commerce & Pricing: Understanding of Product matching models, search and recommendation models. Show more Show less

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life As a Data Scientist, where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. Data Scientist – Global Finance Analytics COE Careers that Change Lives Join our Global Finance Analytics Center of Excellence (COE) as a Data Scientist , where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. This role requires an average of 2-3 days per week of overlapping work hours with the USA team to ensure seamless collaboration. A Day in the Life As a Data Scientist , you will: Develop and deploy AI/ML models for forecasting, anomaly detection, and optimization in financial and business analytics. Work with structured and unstructured data, ensuring data quality, feature engineering, and model interpretability. Collaborate with Data Engineers to build scalable data pipelines and integrate machine learning solutions into production systems. Perform exploratory data analysis (EDA) and statistical modeling to uncover insights and trends. Optimize algorithms for performance, scalability, and business relevance. Present complex findings in an understandable and actionable manner to senior stakeholders. Continuously explore new AI/ML methodologies and tools to enhance analytical capabilities. Must Have: Minimum Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in AI/ML, predictive modeling, and statistical analysis. Strong proficiency in Python, SQL, and cloud platforms (Azure, AWS, or GCP). Experience with machine learning frameworks such as TensorFlow, Scikit-Learn, PyTorch, or XGBoost. Exposure to financial data modeling and analytics. Strong problem-solving and critical-thinking skills. Nice to Have Experience working with Snowflake and large-scale data environments. Knowledge of NLP, deep learning, and AI-driven automation. Familiarity with Power BI for advanced data visualization. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here Show more Show less

Company: Chicmic Studios Job Role: Python Developer Experience: 2+ Years Job Description: We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with experience in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF) and a solid understanding of machine learning concepts and their practical applications are essential. Key Responsibilities: Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS. Develop and maintain APIs for AI/ML models and integrate them into existing systems. Create and deploy scalable AI and ML models using Python. Ensure the scalability, performance, and reliability of applications. Write clean, maintainable, and efficient code following best practices. Perform code reviews and provide constructive feedback to peers. Troubleshoot and debug applications, identifying and fixing issues in a timely manner. Stay up-to-date with the latest industry trends and technologies to ensure our applications remain current and competitive. Required Skills and Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 2+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, and Cloud Formation. Strong knowledge of Django Rest Framework (DRF) for building APIs. Experience with machine learning libraries and frameworks, such as scikit-learn, Tensor Flow, or PyTorch. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab Job Type: Full-time Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person

Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Software Tester Internship - Unpaid 6 months internship Responsibilities Analyzing users stories /use cases/requirements for validity and feasibility. Execute test cases (manual or automated) and analyze results Design and develop automation scripts when needed Collaborate closely with other team members and departments Execute all levels of testing (System, Integration, and Regression) Detect and track software defects and inconsistencies Provide timely solutions Apply quality engineering principals throughout the Agile product lifecycle Create logs to document testing phases and defects Skills / requirements Familiarity / proficiency in C++, Python, Java, PHP or any other OOP based language. Familiarity in Selenium Familiarity with Agile frameworks and regression testing is a plus Ability to document and troubleshoot errors Attention to detail Analytical mind and problem-solving aptitude AI Tools - Amazon CodeGuru, ChatGPT, Core ML, GitHub Copilot, Mintlify, ML Kit, OpenCV, Otter.ai, PyTorch, Scribe, Snyk, Stepsize, Tabnine, TensorFlow, Uizard. Internship monthly Payment - Unpaid Internship Show more Show less

Location Gurugram, Haryana, India This job is associated with 2 categories Job Id GGN00001744 Information Technology Job Type Full-Time Posted Date 06/16/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Our Values: At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation. With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world. Job overview and responsibilities United Airlines is seeking talented people to join the Data Engineering team. Data Engineering organization is responsible for driving data driven insights & innovation to support the data needs for commercial and operational projects with a digital focus. You will work as a Senior Engineer - Machine Learning and collaborate with data scientists and data engineers to: Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United Build complex data ingestion and transformation pipelines for batch and real-time data Support large scale model training and serving pipelines in distributed and scalable environment This position is offered on local terms and conditions within United’s wholly owned subsidiary United Airlines Business Services Pvt. Ltd. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. Qualifications Required BS/BA, in Advanced Computer Science, Data Science, Engineering or related discipline or Mathematics experience required Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with ML methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines Experience developing cloud-native solutions with Docker and Kubernetes Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X Experience building real-time and event-driven stream processing pipelines with technologies such as Kafka, Flink, and Spark Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context Strong desire to stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies Experience 3 + years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2 + years of experience working in cloud environments (AWS preferred) 2 + years of experience with Big Data technologies such as Spark, Flink 2 + years of experience with cloud-native DevOps, CI/CD At least one year of experience with Docker and Kubernetes in a production environment Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position Preferred Masters in computer science or related STEM field

Location Gurugram, Haryana, India This job is associated with 2 categories Job Id GGN00001926 Information Technology Job Type Full-Time Posted Date 06/16/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job overview and responsibilities United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure. You will design and develop tools and apps to enable ML automation using AWS ecosystem. Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications. Support large scale model training and serving pipelines in distributed and scalable environment. Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies – NumPy, data science packages like sci-kit, microservices architecture. Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them. Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-ed lifecycle of large language models. Qualifications Required Bachelor's degree in compute Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required 6+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++. 5+ years of experience in machine learning, deep learning, and natural language processing. 3+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS. 2+ years of experience with Big Data technologies such as Spark, Flink and SQLprogramming. 3+ years of experience with cloud-native DevOps, CI/CD. 1+ years of experience with Generative AI/LLMs. Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines Experience in ML model life cycle development experience and prefer experience to common algorithms Preferred Master's degree Computer Science or related STEM field

Join Our Innovation-Driven Team at NexusLink! Position: AI/ML Engineer – Team Lead Location: Naroda, Ahmedabad, Gujarat Experience: 4 to 6 Years Employment Type: Full-Time About Us At NexusLink , we are committed to building smart, scalable, and impactful digital solutions that empower businesses through innovation. As part of our fast-growing technology team, you’ll have the opportunity to lead ground breaking AI/ML projects and drive the next wave of intelligent automation. Role Overview We are looking for a skilled and forward-thinking AI/ML Engineer – Team Lead who can take ownership of our AI initiatives, guide a talented team, and deliver high-impact machine learning solutions. Key Responsibilities Lead and mentor a team of AI/ML engineers and data scientists. Design and deploy production-grade machine learning models across domains. Work closely with cross-functional teams to translate business needs into ML solutions. Review and optimize model performance, data pipelines, and scalability. Stay ahead of industry trends, tools, and frameworks to continuously enhance our AI capabilities. Drive experimentation, innovation, and implementation of AI best practices. ✅ What We’re Looking For Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or a related field. 4 to 6 years of experience in machine learning and AI application development. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, etc. Strong understanding of supervised/unsupervised learning, NLP, and computer vision. Experience with model deployment using cloud platforms (AWS, GCP, or Azure). Team leadership experience with excellent communication and mentoring skills. Familiarity with MLOps, version control, and DevOps tools is a plus. Good to Have Experience with containerization (Docker, Kubernetes). Exposure to big data tools like Spark or Hadoop. Participation in AI/ML research or open-source contributions. Why Work with NexusLink? Innovative and open culture with a tech-first mindset. Lead real-world AI implementations. Flexible work environment with continuous learning and upskilling opportunities. Competitive pay and fast-track growth opportunities. How to Apply Ready to lead the AI revolution? Send your resume to [ ansuya.ghosh@nexuslinkservices.in ] with the subject line: AI/ML Engineer – Team Lead Application .

SmalBlu is the world’s first cross-layer AI platform that autonomously optimises enterprise data infrastructure across user, app, compute, network, database, and storage layers. Powered by LLM-powered agentic system and proprietary optimisation and compression technologies, SmalBlu helps enterprises cut cloud costs by 40%, carbon footprint by 35%, and query latency by 30%, while enabling deep infrastructure intelligence for CXOs. Preference: Fast learners and track owners with 2+ industry experience in their field. Part-time also works if you are currently working somewhere (30 hours per week min) AI Engineering Scope of Work: You will be responsible for building the core agentic intelligence layer of SmalBlu. This includes developing and fine-tuning ML models for optimizing compute, network, and storage layers across enterprises. You’ll integrate with LangGraph workflows, vector databases, and cost-performance datasets to enable AI-driven decision-making across the platform. Responsibilities: Build intelligent agent workflows using LangChain or LangGraph Train and fine-tune models for resource optimisation, cost prediction, and carbon analytics Integrate custom LLM pipelines with APIs and event systems ( Kafka, REST ) Work on Pinecone or other vector DBs to power infra-aware memory Skills Required: Proficiency in Python Experience with TensorFlow/PyTorch, LangChain, Pinecone Familiarity with LLMs, RAG models, vector search Strong grasp of optimization, compute, or data infra modeling About the Position: Duration: 6-month paid internship with a compensation of upto 50k per month + ESOPs , followed by full-time employment based on performance with competitive pay. Compensation & Perks: ✅ Full-time employment opportunity with full-time pay + incentives post-internship ✅ Hybrid work model ( Ahmedabad preferred ) ✅ Be a core part of a fast-growing impact-driven startup tificial Intelligence, or a related field Application Link : https://forms.gle/VUhCvyPHrw8czdkv8 You can reach out to us at garv@smalblu.ai via mail or at +91 6354057091/+91 8488006997 for any questions. Show more Show less

About Vibrant Brands Vibrant Brands is an Australian-based, multi-brand tech business dedicated to transforming digital experiences through innovative platforms and mobile applications. We leverage artificial intelligence to enhance user experiences and streamline operations, creating seamless, intelligent solutions for our global audience. Role Overview We’re seeking a Senior Full Stack Developer with deep expertise in building large-scale platforms, mobile apps, and AI-driven solutions, including large language models. Reporting directly to the CEO, you’ll architect and develop AI-underpinned platforms, drive technical strategy, and delegate tasks to a team of full stack developers. This role is pivotal in embedding AI tools across our development lifecycle to elevate user experience and operational efficiency, based remotely in India. Key Responsibilities Design and develop scalable full stack platforms and mobile apps, integrating AI tools to enhance user experience and streamline operations. Lead the implementation of AI technologies, including large language models, for personalized, intelligent platform features. Collaborate with the CEO to align technical roadmaps with business objectives, prioritizing AI-driven innovation. Mentor and delegate tasks to a team of full stack developers, embedding AI best practices in their workflows. Optimize systems for performance, security, and scalability, ensuring AI integrations are robust and efficient. Stay current with AI and full stack trends to drive continuous improvement in development processes. Qualifications Experience : 7+ years in full stack development, with a strong portfolio of large-scale platforms and mobile apps. Technical Skills : Expertise in front-end (React, Angular, or Vue.js) and mobile frameworks (React Native, Flutter). Proficiency in back-end technologies (Node.js, Python, Java) and microservices architecture. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) and large language models (e.g., GPT, BERT). Familiarity with AI tools for development, testing, and operations (e.g., AI-driven analytics, automation). Knowledge of cloud platforms (AWS, Azure, or GCP), DevOps, and databases (SQL, NoSQL). Experience with API development (REST, GraphQL) and AI-enhanced APIs. Leadership : Proven ability to lead teams, delegate effectively, and foster AI-driven development practices. Location : Based in India, with flexibility to align with Australian time zones (AEST). Bonus : Experience in AI-enhanced, multi-brand platforms or consumer-facing tech solutions. Why Join Vibrant Brands? Shape the technical vision of a growing Australian tech company, working directly with the CEO. Lead pioneering projects that integrate AI to redefine user experiences and operational efficiency. Enjoy remote work flexibility with a collaborative, global team. Thrive in a vibrant, inclusive culture that champions innovation and impact. Show more Show less

🤖 Job Opening: AI/ML Engineer – Fresher 📍 Location : Remote 🏢 Company : Appzime Technologies 💰 Salary : ₹25,000 – ₹30,000/month 🕒 Experience : 0–1 year (Fresher) 🧠 About the Role Are you passionate about Artificial Intelligence and Machine Learning? Do you dream in algorithms and live for model accuracy? At Appzime Technologies , we're inviting freshers to kickstart their career in AI/ML development and be a part of cutting-edge projects across multiple industries — from automation to predictive analytics. 🔬 Key Responsibilities Assist in developing and training ML models using Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Work on datasets — cleaning, preprocessing, feature extraction, and exploratory data analysis (EDA). Collaborate with data scientists and backend developers to integrate ML models into live systems. Contribute to AI-based automation, NLP tools, recommendation engines, and more. Stay updated with the latest in AI/ML research, tools, and best practices. ✅ Requirements B.Tech / BCA / MCA or equivalent in Computer Science, AI/ML, Data Science, or related field. Good understanding of ML algorithms (Linear Regression, Decision Trees, SVM, KNN, etc.). Hands-on experience in Python and libraries like NumPy , Pandas , Matplotlib , Scikit-learn . Familiar with deep learning concepts and frameworks (TensorFlow/Keras or PyTorch). Strong problem-solving attitude and a hunger to learn new tools. Bonus: Academic or personal ML projects, GitHub profile, or Kaggle participation. 🌟 Why Join Appzime? Opportunity to work on real-world AI/ML deployments from Day 1. Learn directly from experienced engineers and data scientists. Startup-style ownership, innovation, and fast learning curve. Expopsure to client work and cross-domain AI applications. Flexible work setup and access to premium AI tools & resources. 📧 Apply Now : careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Job Title: Data Scientist - Manufacturing Data Solutions Level: Senior Associate Department : Advanced Analytics & Data Science Role Summary: As a Data Scientist focused on Manufacturing Data Solutions, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. Key Responsibilities: 1. Predictive Modeling and Analysis: - Develop predictive models using advanced statistical and machine learning techniques. - Conduct time series analysis, classification, and regression to support business objectives. 2. Data Processing and Integration: - Utilize Spark, Databricks, or cloud platforms like Azure/AWS for data processing. - Ensure seamless data flow from various sources into analytical models. 3. Data Visualization and Communication: - Create compelling visualizations using Tableau to convey data insights. - Present findings to stakeholders and provide actionable recommendations. 4. Collaboration and Solution Development: - Work with cross-functional teams to identify business challenges and develop data-driven solutions. - Lead projects to implement innovative data science methodologies. 5 . Research and Innovation: - Stay up-to-date with emerging data science trends and technologies. - Explore new techniques and tools to enhance data science capabilities. Mandatory Skills: - Proficiency in Python, R, SQL, TensorFlow, and PyTorch. - Experience with time series analysis, predictive modeling, classification, and regression. - Familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. - Expertise in creating visualizations with Tableau to convey data insights. Good to Have Skills: - Interest in exploring new data science trends and technologies. - Experience working with cross-functional teams to develop data-driven solutions. Show more Show less

Total - 3 to 5 Yrs of Experience Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Show more Show less

neoBIM is a well-funded start-up software company revolutionizing the way architects design buildings with our innovative BIM (Building Information Modelling) software. As we continue to grow, we are building a small and talented team of developers to drive our software forward. Tasks We are looking for a highly skilled Generative AI Developer to join our AI team. The ideal candidate should have strong expertise in deep learning, large language models (LLMs), multimodal AI, and generative models (GANs, VAEs, Diffusion Models, or similar techniques) . This role offers the opportunity to work on cutting-edge AI solutions, from training models to deploying AI-driven applications that redefine automation and intelligence. Develop, fine-tune, and optimize Generative AI models , including LLMs, GANs, VAEs, Diffusion Models, and Transformer-based architectures . Work with large-scale datasets and design self-supervised or semi-supervised learning pipelines . Implement multimodal AI systems that combine text, images, audio, and structured data. Optimize AI model inference for real-time applications and large-scale deployment. Build AI-driven applications for BIM (Building Information Modeling), content generation, and automation . Collaborate with data scientists, software engineers, and domain experts to integrate AI into production. Stay ahead of AI research trends and incorporate state-of-the-art methodologies . Deploy models using cloud-based ML pipelines (AWS/GCP/Azure) and edge computing solutions . Requirements Must-Have Skills Strong programming skills in Python (PyTorch, TensorFlow, JAX, or equivalent). Experience in training and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, or Mixtral . Expertise in Generative AI techniques , including Diffusion Models (e.g., Stable Diffusion, DALL-E, Imagen), GANs, VAEs . Hands-on experience with transformer-based architectures (e.g., Vision Transformers, BERT, T5, GPT, etc.) . Experience with MLOps frameworks for scaling AI applications (Docker, Kubernetes, MLflow, etc.). Proficiency in data preprocessing, feature engineering, and AI pipeline development . Strong background in mathematics, statistics, and optimization related to deep learning. Good-to-Have Skills Experience in NeRFs (Neural Radiance Fields) for 3D generative AI . Knowledge of AI for Architecture, Engineering, and Construction (AEC) . Understanding of distributed computing (Ray, Spark, or Tensor Processing Units). Familiarity with AI model compression and inference optimization (ONNX, TensorRT, quantization techniques) . Experience in cloud-based AI development (AWS/GCP/Azure) . Benefits Work on high-impact AI projects at the cutting edge of Generative AI . Competitive salary with growth opportunities. Access to high-end computing resources for AI training & development. A collaborative, research-driven culture focused on innovation & real-world impact . Flexible work environment with remote options. Show more Show less

Seeking a Lead Data Scientist to build AI-driven solutions for clinical decision support, chronic disease management, and patient risk prediction. Requires 8+ years in data science, ML/DL expertise & healthcare AI experience. US Healthcare exp must

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 17th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 17th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Job Title: Senior Machine Learning Engineer Location: On Site / [Gurgaon, India] Experience: 5+ Years Type: Full-time / Contract About the Role We are looking for an experienced Machine Learning Engineer with a strong background in building, deploying, and scaling ML models in production environments. You will work closely with Data Scientists, Engineers, and Product teams to translate business challenges into data-driven solutions and build robust, scalable ML pipelines. This is a hands-on role requiring a blend of applied machine learning, data engineering, and software development skills. Key Responsibilities Design, build, and deploy machine learning models to solve real-world business problems Work on the end-to-end ML lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, deployment, and monitoring Collaborate with cross-functional teams to identify opportunities for machine learning across products and workflows Develop and optimize scalable data pipelines to support model development and inference Implement model retraining, versioning, and performance tracking in production Ensure models are interpretable, explainable, and aligned with fairness, ethics, and compliance standards Continuously evaluate new ML techniques and tools to improve accuracy and efficiency Document processes, experiments, and findings for reproducibility and team knowledge-sharing Requirements 5+ years of hands-on experience in machine learning, applied data science, or related roles Strong foundation in ML algorithms (regression, classification, clustering, NLP, time series, etc.) Experience with production-level ML deployment using tools like MLflow, Kubeflow, Airflow, FastAPI , or similar Proficiency in Python and libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes) Strong understanding of software engineering principles and experience with Git, CI/CD, and version control Experience with large datasets, distributed systems (Spark/Databricks), and SQL/NoSQL databases Excellent problem-solving, communication, and collaboration skills Nice to Have Experience with LLMs, Generative AI , or transformer-based models Familiarity with MLOps best practices and infrastructure as code (e.g., Terraform) Experience working in regulated industries (e.g., finance, healthcare) Contributions to open-source projects or ML research papers Why Join Us Work on impactful problems with cutting-edge ML technologies Collaborate with a diverse, expert team across engineering, data, and product Flexible working hours and remote-first culture Opportunities for continuous learning, mentorship, and growth Show more Show less

As an AI Engr I here at Honeywell, you will be responsible for supporting the design, development, and implementation of AI solutions. You will work closely with senior AI engineers and cross-functional teams to contribute to innovative projects that address business challenges and drive technological advancements. In this role, you will impact the development of AI algorithms and models, contributing to the integration of AI solutions into existing systems and processes. Your work will support the continuous improvement of AI technologies and help drive Honeywell's commitment to innovation. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.As an AI Engr I here at Honeywell, you will support the design, development, and implementation of AI solutions, working with senior engineers and cross-functional teams on innovative projects.You will report directly to our [Title] and you'll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.YOU MUST HAVE Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Experience in AI-related technology projects Strong expertise in machine learning and deep learning technology WE VALUE Advanced degrees in Computer Science, Artificial Intelligence, or related fields Proficiency in programming languages such as Python, TensorFlow, and PyTorch Experience working in an agile development environment Ability to work in a fast-paced and dynamic environment Attention to detail and excellent problem-solving capability Key Responsibilities Assist in the design and development of AI algorithms and models Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes Support the implementation and testing of AI solutions Stay up-to-date with the latest AI technologies and trends Contribute to the continuous improvement of AI development processes About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Show more Show less

Position: AI Lead – Generative AI Location : Navi Mumbai (Onsite) Engagement Type : Full-Time Experience Required : 4–6 Years Department : Artificial Intelligence Who We Are LinkCxO – The Exclusive Platform for Senior Leaders & CxOs LinkCxO is a premium, AI-powered platform built exclusively for senior and C-suite professionals. We aggregate high-quality business insights, industry-specific content, senior-level job opportunities, and curated executive events—delivered in one trusted space. Why LinkCxO? 🌐 30,000+ Verified Senior Members across industries 🧠 AI-Aggregated Business Insights from thousands of trusted sources 📅 Executive-Only Events : Conferences, webinars, and leadership roundtables 💼 10,000+ CxO/Senior-Level Jobs , curated and refreshed regularly 🤝 Exclusive Network for hiring, learning, collaboration, and brand visibility The Problem CxOs today are overwhelmed with scattered information, irrelevant events, and fragmented job platforms—none designed with their needs in mind. Our Solution LinkCxO offers a streamlined, AI-led, personalized platform that empowers senior professionals to explore jobs, insights, and events in one curated and verified space. Role Overview We are seeking a visionary and hands-on AI Lead – Generative AI to architect and scale cutting-edge AI solutions across the LinkCxO ecosystem. You’ll lead initiatives involving LLMs , RAG pipelines , multimodal models , and more—shaping how AI drives user engagement, personalization, and discovery. This is a highly collaborative role where you’ll work closely with the Founders , Product , and Engineering teams to embed intelligence into the core of a fast-growing platform designed for India’s senior leadership. Key Responsibilities 🧠 Strategy & Leadership Define and execute the Generative AI roadmap aligned with business goals Build and lead a team of ML engineers, data scientists, and AI researchers Partner with Product, Design, and Tech teams for scalable AI integration 🔧 Technical Execution Develop, fine-tune, and deploy generative AI models (LLMs, Transformers, Diffusion, RAG) Optimize model performance, latency, and cost in production environments Implement MLOps pipelines for training, deployment, monitoring, and iteration 🔬 Research & Innovation Stay updated with cutting-edge developments in generative and multimodal AI Experiment with open-source and proprietary models; contribute to patents/publications Integrate foundation models via APIs (e.g., OpenAI, Hugging Face, Anthropic) or custom setups ✅ Governance & Ethics Ensure AI systems are built with fairness, explainability, and ethical best practices Maintain compliance with data privacy laws and responsible AI principles Required Skills & Qualifications Master’s or Ph.D. in Computer Science, AI/ML, Mathematics, or related discipline Strong understanding of Transformers, GANs, VAEs, Diffusion Models Proficient with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI APIs Proven experience in training or fine-tuning large-scale LLMs or foundation models Hands-on MLOps experience in model deployment and scaling Strong problem-solving skills and product-oriented mindset Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG) or agent-based systems Familiarity with cloud platforms (AWS, GCP, Azure) and distributed architectures Contributions to open-source projects or AI research communities What We Offer 💡 A high-impact role in a fast-scaling, AI-first platform 🌍 Opportunity to shape how executives experience AI-driven insights and interactions 🧠 Cross-functional collaboration with strategic mentors and domain experts 🚀 Ownership and autonomy in building next-generation AI products from scratch Leadership You’ll Collaborate With 👔 Rajesh Padmanabhan – Chief Mentor Former CHRO at Capgemini, Vedanta & Welspun | UN Awardee for D&I 💡 Gyanesh Kumar – Founder & CEO Ex-CBO at Shine.com | Founder of ExoTalent & LeadersEdge | ISB & IIM Ahmedabad alumnus 🧠 Hema Gupta – Co-founder – CxO Hiring & Engagement 16+ years in executive search with deep domain focus in manufacturing & automotive 📊 Sumit Jha – Advisor – Chief Analytics Officer 18+ years in AI/ML across India, US & Europe | IIT-Kharagpur, IIM Shillong 🎯 Amitabh Kumar – Strategic Advisor & Executive Coach ICF-Certified | 800+ hours coaching | Featured in NDTV, TOI, CNBC Awaaz Show more Show less

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. 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. Title-Senior Developer Overall Years Of Experience-3 To 5 Years Relevant Years of Experience-3+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 3+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Essential Roles and Responsibilities Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders 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

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As the Director, AI/ML Technology and Architecture at one of the largest global Media & Entertainment companies, you will be at the forefront of leading cutting-edge AI and machine learning initiatives that redefine how our organization leverages technology to stay ahead in a fast-evolving industry. Your role will directly contribute to shaping and scaling AI-driven solutions that power innovation, optimize content creation, distribution, and user engagement, all while driving business value and operational efficiency. You will work alongside a talented team of data scientists, engineers, and business leaders to establish a robust AI/ML strategy, build sustainable architectures, and ensure that technology aligns with the company's long-term vision. This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally. If you are an innovator with a passion for AI technology and its real-world applications, this is your chance to make a lasting impact. AI/ML Architecture & Strategy Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems. Conduct thorough technology evaluations and vendor assessments to identify and select the most suitable AI/ML tools, platforms, and technologies. Develop and implement best practices, guidelines, and standards for AI/ML development and deployment across the organization. Collaborate with business stakeholders to understand their needs and translate them into clear and actionable AI/ML strategies. Drive innovation by exploring and evaluating emerging AI/ML technologies and their potential applications within the media and entertainment domain. AI/ML Platform & Infrastructure Design, build, and maintain a robust and scalable AI/ML platform that supports the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and monitoring. Ensure the security, reliability, and performance of the AI/ML infrastructure, including data privacy, compliance, and disaster recovery. Optimize resource utilization and cost-effectiveness of the AI/ML platform through efficient resource allocation and infrastructure management. Collaborate with IT and cloud operations teams to ensure seamless integration and smooth operation of the AI/ML platform. Monitor and analyze platform performance, identify bottlenecks, and implement necessary improvements to enhance efficiency and scalability. AI/ML Model Development & Deployment Oversee the development and deployment of high-quality and impactful AI/ML models across various domains, such as content recommendation, personalization, content creation, and fraud detection. Ensure the quality, accuracy, and fairness of AI/ML models through rigorous testing, validation, and monitoring. Develop and implement MLOps best practices, including CI/CD pipelines, automated testing, and model monitoring, to streamline the model development and deployment process. Collaborate with data scientists and engineers to ensure efficient and effective model training, deployment, and maintenance. Drive the adoption of AI/ML models across the organization through clear communication, training, and support. Team Leadership & Management Lead and mentor a high-performing team of AI/ML engineers and architects. Foster a collaborative and innovative team culture that encourages experimentation, learning, and growth. Recruit, hire, and onboard top talent in the field of AI/ML. Provide guidance and support to team members on technical challenges and career development. Track team performance, identify areas for improvement, and implement necessary changes to enhance team effectiveness. Governance and Compliance Ensure all AI/ML initiatives adhere to regulatory requirements, ethical guidelines, and company policies. Define processes for monitoring, auditing, and improving AI models in production. Advocate for responsible AI practices within the organization. Qualifications & Experiences Academic Qualifications: Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university. Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus. Professional Experience 12+ years of experience in AI/ML technologies, with at least 8+ years in a leadership role overseeing large-scale AI/ML projects and teams. Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry. Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.). Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures. Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations. Technical Skills Expertise in AI/ML model development, architecture design, and advanced analytics. Deep understanding of cloud-native AI technologies, big data systems, and distributed computing. Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD). Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries. In-depth knowledge of data engineering, data pipelines, and data lake architecture. Other Skills Exceptional leadership and people management skills, with experience managing cross-functional teams. Strong communication skills, with the ability to convey complex technical concepts to business leaders and stakeholders. Deep understanding of AI ethics, privacy, and governance principles. Strong problem-solving abilities, with a passion for innovation and creativity. Proven ability to collaborate effectively across departments and lead change in a complex, fast-paced environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less