9631 Tensorflow Jobs - Page 3

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 13+years. Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Exposure to graph-based models, knowledge graphs, and related query languages. Hands-on skills in data engineering and building robust ML pipelines. Experience with personalization engines and digital marketing platform integrations Architect scalable, cloud-based AI/ML solutions on AWS, Azure, or GCP, integrating data pipelines and AI services. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code. Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

The job is based in Vadodara and is available as a Full-time position or as an Internship with a minimum duration of 3 months. The stipend/CTC offered will depend on the experience and role of the applicant. Gururo is a leading organization that focuses on providing practical, career-transforming education. The mission of Gururo is to empower professionals and students by imparting real-world skills, particularly in project management, leadership development, and emerging technologies. By joining the team at Gururo, you will be part of a fast-paced, mission-driven environment where you will work on AI/ML-powered platforms that have a global impact. Applicants for this position can fall into one of the following categories: - Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields with a strong passion for AI/ML. - Freshers: Individuals with 0-1 years of experience, having academic or internship exposure to machine learning projects. - Experienced Professionals: Individuals with over 1 year of hands-on experience in AI/ML roles, along with a demonstrated portfolio or contributions on GitHub. Key Responsibilities: - Design and develop machine learning models and AI systems for real-world applications. - Clean, preprocess, and analyze large datasets using Python and relevant libraries. - Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch. - Work on NLP, Computer Vision, or Recommendation Systems based on project requirements. - Evaluate models using appropriate metrics and fine-tune for optimal performance. - Collaborate with product, engineering, and design teams to integrate AI into platforms. - Maintain documentation, participate in model audits, and ensure ethical AI practices. - Utilize version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases). Must-Have Skills: - Strong proficiency in Python programming. - Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch). - Good understanding of core ML algorithms (classification, regression, clustering, etc.). - Familiarity with data wrangling libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn). - Experience working with Jupyter Notebooks and version control systems (Git). - Basic understanding of model evaluation techniques and metrics. Good to Have (Optional): - Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs). - Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.). - Familiarity with Docker, APIs, and ML model deployment workflows. - Knowledge of MLOps tools and CI/CD for AI systems. - Kaggle profile, published papers, or open-source contributions. What You'll Gain: - Opportunity to work on real-world AI/ML challenges in the rapidly growing EdTech sector. - Learning from experienced data scientists and engineers in a mentorship-driven setting. - Certificate of Internship/Experience & Letter of Recommendation (for interns). - Opportunities to lead research-driven AI initiatives at scale. - Flexible work hours and chances for growth based on performance. - Comprehensive exposure - from data collection to model deployment in production.,

As a Data Science Engineer Intern at V-Patrol AI, a dynamic and forward-thinking cybersecurity organization, you will play a crucial role in developing and implementing cutting-edge machine learning and deep learning models. Your primary focus will be on creating scalable data pipelines and generating valuable insights in real-time to counter cyber threats effectively. Your responsibilities will include designing and executing machine learning and deep learning models tailored for cybersecurity applications. Additionally, you will be involved in constructing and overseeing data pipelines for both structured and unstructured data sources such as network logs and threat feeds. Integrating APIs for model deployment and ensuring seamless real-time data flow will also be a key aspect of your role. Collaboration with software engineers, analysts, and stakeholders to support data-informed decision-making processes is essential. Monitoring model performance and optimizing them for production environments will be part of your routine tasks. Furthermore, you will be responsible for conveying your findings through informative dashboards, reports, and visualizations. To excel in this role, you should hold a Bachelor's or Master's degree in data science, computer science, statistics, or a related field. Proficiency in Python, pandas, scikit-learn, and TensorFlow/PyTorch is necessary. Hands-on experience with REST APIs, Fast API/Flask, and data preprocessing techniques is crucial. Familiarity with various ML/DL models like XGBoost, LSTMs, and Transformers is expected. Exposure to cloud platforms such as AWS/GCP, ETL tools, Docker/Kubernetes, etc., would be advantageous. While not mandatory, prior experience in cybersecurity, particularly in areas like threat detection and incident response, would be beneficial. In addition to the required skills and experience, expertise in adversarial machine learning and natural language processing (NLP) will be considered a significant advantage. Having a GitHub profile or a portfolio showcasing real-world projects in data science or cybersecurity will be a strong preference. This position is an internship opportunity that requires your presence at the designated work location.,

Skills: Python, PyTorch, TensorFlow, Time Series Analysis, Predictive Modeling, SQL, Location: Onsite Bangalore, Karnataka Company: VectorStack Open Positions: 4 (2 Mid-Level with 34 years of experience, 2 Junior-Level with 12 years of experience) Employment Type: Full-time Joining: Immediate (Urgent Requirement) About VectorStack VectorStack is a technology solutions provider that drives digital transformation and enhances business performance. With domain expertise across Tech Advancement, Design Innovation, Product Evolution, and Business Transformation, we deliver tailored strategies that yield measurable results. We serve sectors like Retail Tech, Ad Tech, FinTech, and EdTech, helping businesses unlock their full potential. Learn more at www.vectorstack.co. Role Overview We are urgently seeking dynamic and skilled AI/ML Engineers to join our growing team in Bangalore. You will work on a variety of AI and machine learning projects, ranging from building intelligent systems to deploying scalable models in real-time applications. Responsibilities Develop, train, and deploy machine learning models for real-world applications Handle data preprocessing, feature engineering, and model optimisation Collaborate with cross-functional teams (Data Science, Engineering, Product) Maintain and monitor model performance in production environments Document model workflows, experiments, and outcomes clearly Requirements Mid-Level AI/ML Engineer (34 years experience): Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) Experience deploying ML models via APIs (Flask, FastAPI) Working knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD for ML (MLOps) Familiarity with version control (Git), Docker, and data pipeline frameworks Prior experience handling end-to-end AI/ML projects Junior AI/ML Engineer (12 Years Experience) Hands-on experience in building and training ML models Good understanding of data handling, model evaluation, and algorithms Familiar with Python, NumPy, pandas, scikit-learn Exposure to deep learning frameworks (TensorFlow or PyTorch) is a plus Willingness to learn and grow within a fast-paced, collaborative team Preferred Skills (Good To Have) Experience with Computer Vision, NLP, or Recommendation Systems Familiarity with tools like MLflow, Airflow, or Kubernetes Public GitHub or Kaggle profile showing relevant projects What We Offer Competitive compensation Opportunity to work on cutting-edge AI projects Career growth in a tech-driven environment Health and wellness benefits A collaborative team culture based out of Bangalore

Skills: Python, PyTorch, TensorFlow, Time Series Analysis, Predictive Modeling, SQL, Location: Onsite Bangalore, Karnataka Company: VectorStack Open Positions: 4 (2 Mid-Level with 34 years of experience, 2 Junior-Level with 12 years of experience) Employment Type: Full-time Joining: Immediate (Urgent Requirement) About VectorStack VectorStack is a technology solutions provider that drives digital transformation and enhances business performance. With domain expertise across Tech Advancement, Design Innovation, Product Evolution, and Business Transformation, we deliver tailored strategies that yield measurable results. We serve sectors like Retail Tech, Ad Tech, FinTech, and EdTech, helping businesses unlock their full potential. Learn more at www.vectorstack.co. Role Overview We are urgently seeking dynamic and skilled AI/ML Engineers to join our growing team in Bangalore. You will work on a variety of AI and machine learning projects, ranging from building intelligent systems to deploying scalable models in real-time applications. Responsibilities Develop, train, and deploy machine learning models for real-world applications Handle data preprocessing, feature engineering, and model optimisation Collaborate with cross-functional teams (Data Science, Engineering, Product) Maintain and monitor model performance in production environments Document model workflows, experiments, and outcomes clearly Requirements Mid-Level AI/ML Engineer (34 years experience): Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) Experience deploying ML models via APIs (Flask, FastAPI) Working knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD for ML (MLOps) Familiarity with version control (Git), Docker, and data pipeline frameworks Prior experience handling end-to-end AI/ML projects Junior AI/ML Engineer (12 Years Experience) Hands-on experience in building and training ML models Good understanding of data handling, model evaluation, and algorithms Familiar with Python, NumPy, pandas, scikit-learn Exposure to deep learning frameworks (TensorFlow or PyTorch) is a plus Willingness to learn and grow within a fast-paced, collaborative team Preferred Skills (Good To Have) Experience with Computer Vision, NLP, or Recommendation Systems Familiarity with tools like MLflow, Airflow, or Kubernetes Public GitHub or Kaggle profile showing relevant projects What We Offer Competitive compensation Opportunity to work on cutting-edge AI projects Career growth in a tech-driven environment Health and wellness benefits A collaborative team culture based out of Bangalore

As a Deep Learning and Computer Vision Engineer at Sciverse Solutions Pvt. Ltd., you will be an integral part of the core AI team responsible for designing, training, and deploying models for various applications in the field of microscopy image analysis, diagnostic automation, and embedded vision systems. Your contribution will also involve exploring vision-language models (VLMs) to enhance structured report generation capabilities. Your primary responsibilities will include developing and training deep learning models for tasks such as object detection, segmentation, classification, and metric learning using real-world biomedical and diagnostic datasets. You will work on optimizing models for embedded and edge inference, collaborating with firmware and software teams for seamless deployment, and building scalable vision pipelines for tasks like cell counting and morphology estimation. Additionally, you will have the opportunity to experiment with transformer-based models and VLMs for microscopy captioning and report generation. Collaboration with cross-functional teams, staying updated with the latest advancements in vision and multimodal AI, and possessing a strong foundation in deep learning are essential for success in this role. Must-have skills for this position include a strong understanding of deep learning concepts, experience with image classification and segmentation, proficiency in PyTorch and optionally TensorFlow, and hands-on experience with model deployment and optimization tools. Strong debugging and visualization skills, familiarity with medical imaging formats, and exposure to MLOps tools are considered advantageous. The ideal candidate for this role is a self-starter with a strong sense of ownership, passionate about leveraging AI to solve real-world healthcare challenges, and thrives in an agile, research-to-product environment. By joining Sciverse, you will have the opportunity to work on mission-driven healthcare technology, solve unique AI and vision challenges, and be part of a fast-growing, engineering-driven team. If you are excited about making a meaningful impact in the healthcare industry through cutting-edge technology, we encourage you to apply by emailing your CV, portfolio (if any), and a brief statement outlining your enthusiasm for this role to info@sciverse.co.in.,

Spherex is seeking an Artificial Intelligence (AI) Machine Learning (ML) Engineer to contribute to the development, enhancement, and expansion of our product platform catering to the Media and Entertainment sector. As the AI/ML Engineer, your duties will involve the creation of machine learning models and system retraining. The position is based in Navi Mumbai, India. The ideal candidate should hold a degree in computer science or software development. Proficiency in .Net, Azure, Project management, Team and Client management is essential. Additionally, familiarity with Python, Tensorflow, Pytorch, MySQL, Artificial Intelligence, and Machine Learning is desired. Key requirements for this role include expertise in Python with OOPS concepts, a solid foundation in Natural Language Understanding, Machine Learning, and Artificial Intelligence. Knowledge of ML/DL libraries such as Numpy, Pandas, Tensorflow, Pytorch, Keras, scikit-learn, Jupyter, and spaCy/NLTK is crucial. Hands-on experience with MySQL and NoSQL databases, along with proficiency in scraping tools like BeautifulSoup and Scrapy, is also required. The successful candidate should have experience in web development frameworks like Django and Flask, as well as working with RESTful APIs using Django. Familiarity with end-to-end data science pipelines, strong unit testing and debugging abilities, and applied statistical skills are necessary. Proficiency in Git, Linux OS, ML architectures, and approaches including object detection, semantic segmentation, classification, regression, RNNs, and data fusion is expected. Knowledge of OpenCV, OCR, Yolo, Docker, Kubernetes, ETLPentaho is considered a plus. Candidates must possess a minimum of 4+ years of experience in advanced AI/ML projects within commercial environments. Experience in utilizing AI/ML for video and audio content analysis is advantageous. Education-wise, a college degree in computer science or software development is required, along with excellent documentation and effective communication skills in both technical and non-technical contexts.,

As a software engineer at Google, you will be responsible for developing the next-generation technologies that impact how billions of users connect, explore, and interact with information. Your role will involve working on critical projects essential to Google's needs, with the opportunity to switch teams and projects as the business evolves. We are looking for engineers who can bring fresh ideas from various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Your primary responsibilities will include managing project priorities, deadlines, and deliverables, designing, developing, testing, deploying, maintaining, and enhancing software solutions. You will write product or system development code, participate in design reviews, review code developed by peers, contribute to documentation, and triage product or system issues. Minimum qualifications for this role include a Bachelor's degree or equivalent practical experience, 2 years of experience with software development in one or more programming languages, 2 years of experience with machine learning algorithms and tools, experience in Generative AI, and proficiency in C++ and Python programming. Preferred qualifications include experience with data structures or algorithms, the ML stack, productionizing ML models, collaboration within teams, and building applications with new technology. At YouTube, we believe in giving everyone a voice and building a community through storytelling. Working at the intersection of technology and creativity, we move at the speed of culture with a shared goal to show people the world. As part of our team, you will explore new ideas, solve real problems, and have fun together. If you are enthusiastic, versatile, and display leadership qualities, while being eager to tackle new challenges across the full-stack, we encourage you to apply and join us in pushing technology forward.,

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. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. 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 to demonstrate 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, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the 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 such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and 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. 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.,

Are you passionate about building the future using Artificial Intelligence (AI) and Augmented Reality (AR) Join Komachi Park LLP, located in Boys Town, Mananthwady. Komachi Park LLP is seeking creative and skilled professionals in the fields of AI and AR to contribute to our R&D and product development teams. We have the following open positions available: 1. AI Expert / AI Engineer 2. AR Developer / AR Engineer As an AI Expert at Komachi Park LLP, your responsibilities will include: - Developing and deploying machine learning models such as NLP, computer vision, and recommendation engines - Working with datasets, designing predictive algorithms, and integrating AI with existing platforms - Collaborating with UI/UX and app teams to deliver intelligent features If you join us as an AR Expert, your key responsibilities will involve: - Creating immersive AR experiences for mobile, web, or wearable devices - Utilizing AR SDKs like ARKit, ARCore, Vuforia, and more - Working closely with the design and 3D teams to integrate real-world scenarios Required Skills for the AI Expert role: - Proficiency in Python, TensorFlow, PyTorch, OpenCV, or similar technologies - Experience in deploying AI models to production environments - Strong analytical and problem-solving skills For the AR Expert position, the necessary skills include: - Experience with Unity or Unreal Engine - Familiarity with 3D modeling tools and rendering - A strong grasp of real-time interaction and spatial computing Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or related fields - 2+ years of relevant experience (Freshers with strong portfolios are also encouraged to apply) - Passion for innovation, collaboration, and continuous learning Why Join Us - Be part of cutting-edge tech projects - Contribute to products that impact real businesses - Enjoy a friendly, innovative, and growth-focused work culture To apply, please send your CV, portfolio (if applicable), and a brief note on your experience to 9847294932 with the subject "Application for AI/AR Role." Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Work Location: In person Expected Start Date: 04/08/2025 For further inquiries, please contact the employer at +91 9847294932.,

As an AI Ops Expert, you will be responsible for taking full ownership of deliverables with defined quality standards, timelines, and budget constraints. Your primary role will involve designing, implementing, and managing AIops solutions to automate and optimize AI/ML workflows. Collaborating with data scientists, engineers, and stakeholders is essential to ensure the seamless integration of AI/ML models into production environments. Your duties will also include monitoring and maintaining the health and performance of AI/ML systems, developing and maintaining CI/CD pipelines specifically tailored for AI/ML models, and implementing best practices for model versioning, testing, and deployment. In case of issues related to AI/ML infrastructure or workflows, you will troubleshoot and resolve them effectively. To excel in this role, you are expected to stay abreast of the latest AIops, MLOps, and Kubernetes tools and technologies. Your strong skills should include proficiency in Python with experience in Fast API, hands-on expertise in Docker and Kubernetes (or AKS), familiarity with MS Azure and its AI/ML services like Azure ML Flow, and the ability to use DevContainer for development purposes. Furthermore, you should possess knowledge of CI/CD tools such as Jenkins, Argo CD, Helm, GitHub Actions, or Azure DevOps, experience with containerization and orchestration tools like Docker and Kubernetes, proficiency in Infrastructure as code (Terraform or equivalent), familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, and exposure to data engineering tools such as Apache Kafka, Apache Spark, or similar technologies.,

As an AI Engineer passionate about Generative AI and AI-assisted modernization, you will be responsible for developing cutting-edge solutions to drive innovation within the organization. Your primary focus will be on designing and developing in-house GenAI applications, collaborating with vendors to implement proof of concepts (POCs) for complex AI solutions, and aiding in the modernization of legacy systems through AI-driven automation. Your key responsibilities will include: - Designing and developing in-house GenAI applications tailored to internal use cases. - Collaborating with vendors to evaluate and implement POCs for advanced AI solutions. - Working on AI-powered tools to modernize Software Development Life Cycle (SDLC) and migrate code from legacy to modern technologies. - Providing technical support, training, and AI adoption strategies for internal users and teams. - Assisting in integrating AI solutions into software development processes. To excel in this role, you must have: - A Bachelor's or Master's degree in Computer Science, Computer Engineering, Computer Applications, Information Technology, or a related field in AI/ML. - Relevant certification in AI/ML would be advantageous. - Experience with at least 2 successful AI/ML POCs or production deployments. - Previous involvement in AI-powered automation, AI-based DevOps, or AI-assisted coding. - Demonstrated teamwork and delivery capabilities. - Strong analytical and problem-solving skills with a continuous learning mindset. - A positive attitude with attention to detail. In terms of AI/ML expertise, you should possess: - Proficiency in Python programming. - Hands-on experience with GenAI models and Large Language Models (LLMs/SLMs) in real projects or POCs. - Practical experience in Machine Learning and Deep Learning. - Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face. - Understanding of MLOps pipelines and AI model deployment. Additionally, familiarity with System Modernization & Enterprise Technologies is beneficial: - Basic knowledge of Java, Spring, React, Kotlin, and Groovy. - Willingness to work on AI-driven migration projects like PL/SQL to Emery or JavaScript to Groovy DSL. - Experience with code quality, AI-assisted code refactoring, and testing frameworks. For Enterprise integration & AI adoption, you should have: - The ability to integrate AI solutions into enterprise workflows. - Experience with API development and AI model integration in applications. - Proficiency in version control and collaboration tools like Git and CI/CD pipelines. While not mandatory, the following would be considered advantageous: - Experience in code migration and modernization projects. - Exposure to third-party AI tools and their adoption in enterprises. - AI-driven development experience for large-scale software applications.,

As an Azure AI Engineer at Optimum Data Analytics, you will be a key member of our team in Pune, contributing to the design and deployment of cutting-edge AI/ML solutions using Azure cloud services. You should have a minimum of 5 years of hands-on experience in the field and hold either the Microsoft Azure AI Engineer Associate or Microsoft Azure Data Scientist Associate certification. Your role will involve collaborating with business stakeholders, data engineers, and product teams to deliver scalable and production-ready AI solutions that drive business value and growth. Key Responsibilities - Design and deploy AI/ML models using Azure AI/ML Studio, Azure Machine Learning, and Azure Cognitive Services. - Implement and manage data pipelines for model training workflows and ML lifecycle within the Azure ecosystem. - Work closely with business stakeholders to gather requirements, analyze data, and provide predictive insights. - Collaborate with data engineers and product teams to ensure the delivery of scalable and production-ready AI solutions. - Establish and maintain best practices for model monitoring, versioning, governance, and responsible AI practices. - Contribute to solution documentation and technical architecture. - Design AI agents using Azure stack tools such as Autogen, PromptFlow, ML Studio, AI Foundry, AI Search, LangChain, and LangGraph. Required Skills & Qualifications - Minimum of 5 years of hands-on experience in AI/ML, data science, or machine learning engineering. - Mandatory Certification: Microsoft Azure AI Engineer Associate OR Microsoft Azure Data Scientist Associate. - Strong knowledge of Azure services including Azure Machine Learning, Cognitive Services, Azure Functions, AI Foundry, and Azure Storage. - Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. - Solid understanding of data science lifecycle, model evaluation, and performance optimization. - Experience with version control tools like Git and deployment through CI/CD pipelines. - Excellent problem-solving and communication skills. - Strong experience in building AI Agents. - Familiarity with LLMs, prompt engineering, or GenAI tools (Azure OpenAI, Hugging Face, Vector Databases, etc.). Good To Have - Experience with Power BI or other data visualization tools. - Exposure to MLOps tools and practices. If you are passionate about leveraging AI/ML to drive business transformation and meet organizational objectives, we encourage you to apply for this position and be part of our dynamic team at Optimum Data Analytics.,

The position of S&C Global Network - AI - T&O - Human Capital Analytics Analyst located in Kolkata, KDC1A falls under Management Level 11. The primary skill required for this role is Human Capital Analytics, with additional skills in leveraging design thinking, business process optimization, and stakeholder management being beneficial. As a Human Capital Analytics Analyst, you will be responsible for driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. Joining the Data & AI practice at S&C GN, you will collaborate with a global network of skilled professionals experienced in leading statistical tools and applications. Your responsibilities will include developing advanced statistical models for HR Analytics solutions, utilizing Python programming for efficient model creation, and leveraging ML and Data Science skills like Deep learning, TensorFlow, and Time Series Forecasting. Furthermore, you will be expected to architect scalable dashboards, communicate analytical insights effectively, and maintain strong client relationships. Your role will also involve collaborating with diverse teams, adapting within an agile environment, and utilizing mathematical concepts and industry knowledge to resolve complex issues creatively. The ideal candidate for this position should hold a Master's degree in Economics, Statistics, Mathematics, or Engineering, with at least 5+ years of experience in the Analytics domain and 2-3 years in People/Human analytics. Strong problem-solving skills, communication abilities, and leadership experience are essential, along with knowledge of predictive analytics, machine learning, or statistical modeling. Additional skills in PySpark/PyTorch framework, Data Governance, Cloud Integrations, and Change Management are appreciated. Experience with HTML 5/js, Optimization Theory, and People Analytics Consulting is considered a bonus. This role offers an opportunity to work on innovative projects, with potential for career growth and leadership exposure within Accenture.,

Are you looking for an exciting opportunity to solve large-scale business problems using Generative AI Join our dynamic team to tackle challenges using Generative AI in the Wholesale Credit Risk Quantitative Research Applied AI/ML team. You will play a crucial role in developing innovative AI solutions that leverage the firm's extensive data resources. Your primary focus will be on creating tools based on Large Language Models (LLMs) to enhance the End-to-End credit risk process across Wholesale. This role presents an exciting opportunity to innovate and have a significant impact on credit risk management. If you are passionate about AI and enthusiastic about working on cutting-edge solutions, we encourage you to apply. Your responsibilities will include: - Developing and implementing AI solutions to address business challenges. - Collaborating with cross-functional teams to translate requirements into technical solutions. - Formulating risk strategies to enhance risk monitoring using diverse data sources. - Managing the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring. - Ensuring the performance and reliability of deployed solutions. - Staying informed on the latest AI/ML advancements. - Leading the development and rapid deployment of AI solutions influenced by macro-economic factors and current events. Qualifications, Skills, and Experience required: - Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics. - Minimum of 5 years of experience in applied AI/ML. - Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP is highly preferred. - Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL. Cloud experience is a plus. - Experience in model implementation and production deployment is preferred. If you possess excellent problem-solving, communication, and leadership skills, and are eager to contribute to the advancement of AI solutions in credit risk management, we look forward to reviewing your application.,

You are a skilled Python Developer with 6 to 8 years of experience, specializing in Artificial Intelligence and Machine Learning. As part of a high-impact, data-driven project, you will be responsible for designing and implementing scalable Machine Learning models and AI-driven applications. Collaboration with cross-functional teams to define technical solutions and integrate ML models is a key aspect of your role. Your tasks will include data preprocessing, transformation, and feature engineering. It is essential to continuously optimize model accuracy and system performance while ensuring code quality, versioning, and documentation across the ML solutions. Your strong foundation in Machine Learning algorithms, AI techniques, and hands-on experience with Python development will be utilized effectively. Proficiency in libraries such as TensorFlow, Keras, and scikit-learn is expected. Experience in model training, tuning, evaluation, and deployment will be crucial for the success of the project. Additionally, having excellent analytical and problem-solving skills will greatly benefit you in this role. While not mandatory, familiarity with cloud platforms like AWS, GCP, and Azure will be advantageous. Exposure to deploying ML models in production environments and knowledge of data visualization are considered "Good to Have" skills. In return, you will have the opportunity to work on innovative AI/ML solutions in a collaborative and growth-driven work culture. The job offers a hybrid work model with flexibility, allowing you to thrive in a dynamic environment.,

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience: 5+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Excellent problem-solving skills, with a creative and analytical mindset. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Experience with AI ethics and responsible AI practices RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

You will be part of a rapidly growing team at NPS Prism, a technology-led business venture owned by Bain & Company, located in Gurugram. As a Data Scientist specializing in Large Language Models (LLMs), your role will involve developing and deploying innovative solutions to address various business challenges using cutting-edge machine learning techniques. You will collaborate with cross-functional teams to identify use cases for LLM applications and work towards building a robust analytics architecture. Staying updated with the latest advancements in LLMs and NLP will be a key part of your responsibilities, along with analyzing complex data to derive actionable insights. Your qualifications should include a Bachelor's or Master's degree in computer science, Data Science, Statistics, or a related field, along with 4+ years of experience in data science with a focus on natural language processing and LLMs. Proficiency in Python & PySpark, experience with machine learning frameworks like TensorFlow, PyTorch, and Hugging Face Transformers, as well as cloud computing platforms such as AWS, Google Cloud, Azure, are essential. Strong problem-solving skills, the ability to communicate technical concepts effectively, and experience in a fast-paced startup environment are also required. In this role, you will lead the development and deployment of LLM-based solutions, design and optimize machine learning models, mentor junior data scientists, and ensure the scalability and robustness of LLM solutions in production environments. You will be expected to take ownership of projects end-to-end, operate in ambiguous situations, and deliver results within ambitious timelines. Your contribution to code reviews and continuous improvement of ML infrastructure and practices will be crucial for the team's success. By joining NPS Prism, you will have the opportunity to work on groundbreaking projects, collaborate with talented individuals, and drive business growth to new heights. If you are a self-motivated individual with a passion for data science and a drive to excel in a challenging environment, we encourage you to apply and be part of our journey towards shaping the future of customer experience benchmarking and operational improvement.,

You will be responsible for designing and developing machine learning software solutions for semiconductor device and thin film metrology. This will involve working closely with both internal and external customers to define requirements and then building machine learning-based solutions. You will be optimizing algorithms and prototypical solutions for efficient implementation and designing, developing, implementing, overseeing, and adapting APIs. Your role will also include extending prototypes into fully functional, polished solutions ready for internal and/or external use. You will be implementing solutions in Python with TensorFlow, writing comprehensive unit tests, and providing technical support during alpha and beta testing. Additionally, you will be documenting the design and implementation of the software solutions and giving presentations both internally and externally regarding the work. Furthermore, you will be maintaining new and existing software solutions throughout the life-cycle of the tools. Preferred qualifications for this position include a strong background in machine learning using regression models and the TensorFlow framework, as well as experience in software architecture, modern development practices, and design patterns. Additionally, a background in Python or C#, especially in writing production-quality, object-oriented code, is desired. Experience in parallel/distributed computing, performance profiling, and memory optimization would be beneficial. Knowledge of API development and Azure DevOps is a plus. Experience in computational physics, numerical simulations, and semiconductors (electrical properties, manufacturing, and metrology) would also be advantageous. Moreover, the ability and willingness to travel worldwide to support projects at customer sites is considered beneficial for this role. In return, we offer a competitive and family-friendly total rewards package. Our programs are designed to reflect our commitment to an inclusive environment while ensuring that we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer.,

SoundHound AI is looking for a Principal Machine Learning Engineer to join the core speech technology team. As a Principal Machine Learning Engineer, you will be responsible for leading efforts to research and develop production-ready wake word and automatic speech recognition solutions. You will thrive in a challenging, algorithm-driven, and hands-on environment, continuously innovating and refining the architecture of vital systems. Collaboration with engineers, researchers, and voice AI practitioners is essential to enable various voice AI products for customers across different industries using SoundHound state-of-the-art ASR technologies. This role provides opportunities to apply your knowledge and experience in software engineering and machine learning to solve real-world voice AI problems and deliver direct value to SoundHound customers. In this role, your responsibilities will include: - Leading innovation and advancements in the core architecture of Automatic Speech Recognition (ASR) and wake word technologies. - Spearheading cutting-edge research in Machine Learning (ML), focusing on wake word, ASR, natural language understanding, dialogue generation, and context-aware conversational systems. - Developing novel algorithms and models to enhance the performance and intelligence of wake word products and ASR solutions. - Training and optimizing large-scale deep learning models for ASR and wake word products. - Collaborating with cross-functional teams to transform research insights into real-world solutions. - Mentoring and guiding junior researchers and engineers to promote a culture of continuous learning and innovation. - Staying up-to-date with the latest advancements in ASR and ML to drive continuous improvement of the technology stack. To be successful in this role, we are looking for candidates who: - Hold a Ph.D. in Computer Science with a minimum of 8 years of relevant industry experience, or a Master's degree with 12 years of relevant industry experience. - Possess strong programming skills in Python and C++ for effective implementation and optimization of ASR models. - Have a proven track record of impactful research and development in Machine Learning and ASR, demonstrated through publications and projects. - Are highly skilled in deep learning frameworks such as TensorFlow and PyTorch, with experience in training large-scale models. - Excel at solving complex problems and developing innovative solutions in conversational AI. - Are passionate about staying at the forefront of AI research and are motivated to push the boundaries of what's achievable in conversational AI. - Exhibit excellent teamwork and communication skills to collaborate seamlessly with cross-functional teams. This role is based in Bengaluru, India, and the total compensation range will be provided by the recruiting team based on location and years of experience. SoundHound AI values diversity, equity, inclusion, and belonging. Building Voice AI for the world requires a team with global perspectives, and creating a supportive environment where everyone can do their best work is a top priority. SoundHound ensures that individuals with disabilities are provided reasonable accommodations throughout the interview process and employment benefits. If you are passionate about AI research, enjoy collaborating with multidisciplinary teams, and are eager to contribute to cutting-edge voice AI solutions, we invite you to join our team and bring your unique voice to our mission.,

As an AI Solution Engineer at Droisys, you will be responsible for developing, deploying, and implementing advanced AI-enabled applications for our highly sophisticated systems, ensuring compliance with security standards and delivering innovative and efficient solutions within a secure environment. Self-discipline and a strong desire to build applications with high integrity are essential for success in this role. In this role, you will research and innovate by staying updated with the latest AI technologies, tools, and trends to continuously improve and innovate Droisys's data conversion processes. You will be required to maintain comprehensive documentation of AI solutions, methodologies, and deployment processes. Additionally, you will design and develop AI models to automate and enhance the core data conversion processes, working with large datasets while ensuring the integrity and security of sensitive information during the conversion process. Your responsibilities will also include developing and deploying AI solutions in accordance with security protocols, ensuring all processes meet compliance standards. Collaboration with cross-functional teams, including data scientists, software engineers, and business analysts, will be crucial to create integrated AI solutions. You will conduct rigorous testing and validation of AI models to ensure accuracy and reliability, as well as continuously monitor and optimize AI models for efficiency and performance improvements. To excel in this role, you will need proficiency in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#, along with familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in data manipulation and analysis using tools like Pandas or NumPy, as well as knowledge of deep learning concepts and architectures, will be valuable assets. Familiarity with software development methodologies, cloud-based services, system design, problem-solving skills, and collaboration with cross-functional teams are also essential requirements. Having 5-7+ years of technical implementation experience would be advantageous, and additional experience in the Financial Services Industry, relevant certifications in AI/ML or reporting tools like Splunk, SSRS, Cognos, and Power BI would be great to have for this role at Droisys.,

As an AI Computer Vision Engineer with 4+ years of experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, and face recognition. You will optimize models for performance on edge devices and apply data augmentation techniques to image/video datasets. Additionally, you will need proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Your role will involve hands-on implementation of machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms. Understanding image processing concepts and experience in model optimization, quantization, or deploying to edge devices will be essential. You should have strong programming skills in Python (or C++) and expertise in implementing and optimizing machine learning pipelines for seamless integration into production systems. Experience with real-time computer vision applications, OpenCV, NumPy, PyTorch/TensorFlow, and computer vision models like YOLOv5, Mask R-CNN will be beneficial. Engaging with multiple teams, contributing to key decisions, and providing solutions that apply across multiple teams are expected from you. You will lead the implementation of large language models in AI applications and research cutting-edge AI techniques to enhance system performance. Contribution to the development and deployment of AI solutions across various domains is also part of your responsibilities. In terms of requirements, you should design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection, and named entity recognition. Evaluating and integrating third-party OCR tools, developing pre-processing and post-processing pipelines for image/text data, and familiarity with video analytics platforms are necessary skills. Experience with MLOps tools, academic CV research, and knowledge of GPU acceleration or hardware integration will be advantageous for this role.,

As a skilled and passionate Python Developer with hands-on experience in AI/ML project development, you will have the opportunity to join our growing technology team in Jaipur. Your primary focus will be working on real-world AI solutions, contributing to end-to-end model development, and integrating intelligent systems into production-level applications. Your key responsibilities will include developing and maintaining high-quality, scalable Python code, designing, training, and deploying AI/ML models to solve business challenges, and collaborating with data scientists to implement algorithms and integrate ML models. You will also be responsible for optimizing model performance, managing deployment pipelines, working with cross-functional teams (Product, Design, DevOps), ensuring clean architecture, proper documentation, and version control, as well as keeping up-to-date with the latest developments in AI/ML and the Python ecosystem. To be successful in this role, you should have at least 3 years of professional Python development experience, proven experience in AI/ML model development using tools like scikit-learn, TensorFlow, PyTorch, etc., a strong understanding of data structures, algorithms, and model evaluation techniques, as well as experience with REST APIs, version control (Git), and cloud environments (preferably AWS). Additionally, familiarity with data preprocessing, feature engineering, and model lifecycle, solid problem-solving skills, and a detail-oriented mindset are essential. Nice to have skills include exposure to MLOps practices, experience in Flask or FastAPI, and knowledge of Docker/Kubernetes. By joining us, you will have the opportunity to work on impactful AI projects that solve real business problems, grow in a tech-first and collaborative environment, enjoy competitive salary, and be part of a vibrant on-site work culture in Jaipur. If you are ready to build smart solutions with us, we invite you to apply for this full-time position. Experience: - Python: 3 years (Required) Location: - Jaipur, Rajasthan (Required) Work Location: - In person,

You are a highly skilled and experienced Senior Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). You will be joining our team as an innovative, analytical, and collaborative team player with a proven track record in end-to-end AI/ML project delivery. This includes expertise in data processing, modeling, and model deployment. With a minimum of 5-7 years of experience in data science, your focus will be on AI/ML applications. Your technical skills will include proficiency in a wide range of ML algorithms such as regression, classification, clustering, decision trees, neural networks, and deep learning architectures (e.g., CNNs, RNNs, GANs). Strong programming skills in Python, R, or Scala are required, along with experience in ML libraries like TensorFlow, PyTorch, and Scikit-Learn. You should have experience in data wrangling, cleaning, and feature engineering, with familiarity in SQL and data processing frameworks like Apache Spark. Model deployment using tools like Docker, Kubernetes, and cloud services (AWS, GCP, or Azure) should be part of your skill set. A strong foundational knowledge in statistics, probability, and mathematical concepts used in AI/ML is essential, along with proficiency in data visualization tools such as Tableau, Power BI, or matplotlib. Preferred qualifications include familiarity with big data tools like Hadoop, Hive, and distributed computing. Hands-on experience in NLP techniques like text mining, sentiment analysis, and transformers is a plus. Expertise in analyzing and forecasting time-series data, as well as familiarity with CI/CD pipelines for ML, model versioning, and performance monitoring, are also preferred. Leadership skills such as leading cross-functional project teams or managing data science projects in a production setting are valued. Your personal attributes should include problem-solving skills to break down complex problems and design innovative, data-driven solutions. Strong written and verbal communication skills are necessary to convey technical insights clearly to diverse audiences. A keen interest in staying updated with the latest advancements in AI and ML, along with the ability to quickly learn and implement new technologies, is expected from you.,

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2507_10290_0 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)