1628 Keras Jobs - Page 13

We are looking for a Machine Learning (ML) Expert to help us create ML/artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics, Data Science and programming. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities : Designing and developing machine learning and deep learning systems. Running machine learning tests and experiments. Implementing appropriate ML algorithms. Study and transform data science prototypes. Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks. Keep abreast of developments in the field. Requirements Proven experience as a Machine Learning Engineer or similar role. Understanding of data structures, data modeling and software architecture. Deep knowledge of math, probability, statistics and algorithms. Ability to write robust code in Python. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). Excellent communication skills. Ability to work in a team. Outstanding analytical and problem-solving skills. Bachelors in computer science, Mathematics or similar field; masters degree is a plus.

Meet the Team We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, were building a tight-knit group of AI and infrastructure experts driven by > We thrive in a fast-paced, experimentation-rich environment where new technologies arent just welcome theyre expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Your Impact Cisco is seeking a forward-thinking AI Model Architect to drive the development of AI model and dataset design supporting the next-generation AI infrastructure platform. This is a key role at the intersection of infrastructure and AI systems, where you'll drive the architecture and execution of AI and Generative AI to develop novel solutions that improve monitoring, deployment, and management of AI applications running at scale. Your work will directly impact how enterprises deploy, scale, and optimize AI workloads. As an Architect, you will be responsible for both mentoring a high-caliber team as well as hands-on design to deliver robust AI models and workflows that learn from, recommend, and optimize the uptime, quality, and performance of customer infrastructure. Youll also guide strategic direction on resource utilization in generative AI systems, working cross-functionally to align product direction with infrastructure capabilities. Key Responsibilities: Architect and design datasets from infrastructure and operational telemetry. Architect, select, and fine-tune/train AI and Generative AI model that can detect patterns on time series datasets. Fine-tune and train AI and Generative AI models that can interreact with tools and take actions. Understanding k8s and other infrastructure components and their usages. Build Model Context Protocol (MCP) tools to support Agentic Workflows Demonstrate a deep understanding of AI frameworks that support Nvidia and AMD GPUs. Plan and coordinate software engineering work, map tasks to releases, conduct code reviews, and resolve technical challenges to unblock releases. Generate architecture specifications and build proof-of-concept (POC) solutions for clarity when needed. Collaborate with product management to understand customer requirements and build architecturally sound solutions. Work closely with engineers on implementation and track progress to ensure alignment with architectural requirements. Minimum Qualifications: Demonstrable experience in following AI and Generative AI model training and fine-tuning. KV Cache management and context length impact in LLM inferencing. Python, PyTorch, TensorRT and other AI frameworks CUDA, Nsight and other nvidia tools. vLLM, LLM-D and other runtime for LLMs. Comprehensive understanding of software release processes Proficiency in using agents building pipelines. Bachelors degree or equivalent with 10+ years of engineering experience. Preferred Qualifications: Demonstrable technical leadership through publish papers in industry conferences and publications, and issued patents Proven leadership experience in architecture and design of Retrieval Augmented Generation workflows. Demonstrable experience collecting and using system metrics in AI training/fine-tuning and inference Masters degree or equivalent.

: Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications. The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it’s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it’s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application. The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions. Responsibilities: Contribute the development of Artificial Intelligence solutions for medical imaging Support the product development and deployment of research prototypes Support Scientific evaluation, setup and manage algorithm validation pipeline Education: Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics. Experience: 4+ Years of experience Skills/Competency: Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R) Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required Prior exposure to machine learning and related fields is preferable but not required Motivated, self-driven and with a strong ability to learn independently Exhibits strong problem-solving skills Self-directed and actively takes initiative Familiar with DICOM & Medical Raw image formats and it's applications Familiar with Data science tools Strong knowledge of regulatory needs related to medical devices, AI products in healthcare

Responsibilities: Drive business growth in assigned portfolio in AI and ML. Responsible for collaborating with clients to understand their business challenges and advise cutting-edge AI solutions using AI and Generative AI technology. Conduct research and stay updated on the latest advancements in Generative AI technology and methodologies. Provide expertise and guidance to clients and internal teams on Generative AI best practices. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Drive the team to build GenAI products and solutions. Tech Skills: Should have consulting experience with senior client stakeholders in AI ML technologies Should have strong experience in building AI and Generative AI solutions Should have solid experience developing and implementing generative AI models Experience with cloud-based platforms and services Experience with natural language processing (NLP) techniques and tools.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager, Data Scientist Our Vision AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You 3+ years of experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. 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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-252120

Please mention subject line “Machine Learning Engineer - ESLNK59” while applying to hr@evoortsolutions.com Job Title: Machine Learning Engineer Location: Remote | Full-Time Experience: 4+ years Job Summary We are seeking a highly skilled and self-motivated Machine Learning Engineer / Senior Machine Learning Engineer to join our fast-growing AI/ML startup. You will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. This role demands a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Key Responsibilities Design and develop machine learning and deep learning algorithms in collaboration with cross-functional teams, including data scientists and business stakeholders. Translate complex client problems into mathematical models and identify the most suitable AI/ML approach. Build data pipelines and automated classification systems using advanced ML/AI models. Conduct data mining and apply supervised/unsupervised learning to extract meaningful insights. Perform Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition from structured and unstructured datasets. Develop and implement Natural Language Processing (NLP) techniques for sentiment analysis, text classification, entity recognition, etc. Extend and customize ML libraries/frameworks like PyTorch, TensorFlow, and Scikit-learn. Visualize and communicate analytical findings using tools such as Tableau, Matplotlib, ggplot, etc. Develop and integrate APIs to deploy ML solutions on cloud-based platforms (AWS, Azure, GCP). Provide technical documentation and support for product development, business proposals, and client presentations. Stay updated with the latest trends in AI/ML and contribute to innovation-driven projects. Required Skills & Qualifications Education: B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or related field. Solid understanding of data structures, algorithms, probability, and statistical methods. Proficiency in Python, R, or Java for building ML models. Hands-on experience with ML/DL frameworks such as PyTorch, Keras, TensorFlow, and libraries like Scikit-learn, SpaCy, NLTK, etc. Experience with cloud services (PaaS/SaaS), RESTful APIs, and microservices architecture. Strong grasp of NLP, predictive analytics, and deep learning algorithms. Familiarity with big data technologies like Hadoop, Spark, Hive, Kafka, and NoSQL databases is a plus. Expertise in building and deploying scalable AI/ML models in production environments. Ability to work independently in an agile team setup and handle multiple priorities simultaneously. Exceptional analytical, problem-solving, and communication skills. Strong portfolio or examples of applied ML use cases in real-world applications. Why Join Us? Opportunity to work at the forefront of AI innovation and solve real-world challenges. Be part of a lean, fast-paced, and high-impact team driving AI solutions across industries. Flexible remote working culture with autonomy and ownership. Competitive compensation, growth opportunities, and access to cutting-edge technology. Embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch.

Job Description A Data Science Trainer is a professional who designs and delivers training programs to educate individuals and teams on data science concepts and techniques. They are responsible for creating and delivering engaging and effective training content that helps learners develop their data science skills. Responsibilities Design and develop training programs and curriculum for data science concepts and techniques Deliver training sessions to individuals and teams, both in-person and online Create and manage training materials such as presentations, tutorials, and exercises Monitor and evaluate the effectiveness of training programs Continuously update training materials and curriculum to reflect the latest trends and best practices in data science Provide one-on-one coaching and mentoring to learners Requirements A degree in a relevant field such as computer science, data science, statistics, or mathematics Strong understanding of data science concepts and techniques Experience with programming languages such as Python, R and SQL Strong presentation and communication skills Experience in training and/or teaching Experience with data visualization tools such as Tableau, Power BI or Matplotlib is a plus Knowledge of data science platform such as Scikit-learn, Tensorflow, Keras etc. is a plus. The role of a data science trainer requires a person who is passionate about teaching, has a solid understanding of data science and has the ability to adapt to the needs of the learners. They must be able to deliver training programs in an engaging and effective way, and must be able to continuously update the training materials to reflect the latest trends and best practices in data science. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Schedule: Day shift Education: Master's (Preferred) Experience: Data scientist: 2 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹90,000.00 per month Education: Bachelor's (Preferred) Experience: AI/Machine learining: 4 years (Preferred) Work Location: In person

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production.

We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred Skills: ml,nosql,git,google cloud,hugging face transformers,design,c++,pandas,keras,python,machine learning,tensorflow,aws,numpy,azure,pytorch,java,apache spark,sql,data manipulation,hadoop,scikit-learn,artificial intelligence

We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred Skills: ml,nosql,git,google cloud,hugging face transformers,design,c++,pandas,keras,python,machine learning,tensorflow,aws,numpy,azure,pytorch,java,apache spark,sql,data manipulation,hadoop,scikit-learn,artificial intelligence

Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience 1-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location Baner, Pune

Job Summary: We are looking for a highly skilled and experienced AI/ML Developer-Lead with 4-5 years of hands-on relevant experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine learning. Key Responsibilities: 1. Develop and Implement AI/ML Models Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. 2. Model Optimisation and Evaluation Continuously improve existing models for performance, accuracy, and scalability. 3. Data Preprocessing and Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpret ability. 4. Collaboration and Communication Collaborate closely with data scientists, back end engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. 5. Model Deployment and Monitoring Deploy models to production using MLOps practices and tools (e.g., MLflow, Docker, Kubernetes). Monitor live model performance, diagnose issues, and implement improvements as needed. 6. Staying Current with AI/ML Advancements Stay informed of current research, tools, and trends in AI and machine learning. Evaluate and recommend emerging technologies to maintain innovation within the team. 7. Code Reviews and Best Practices Participate in code reviews to ensure code quality, scalability, and adherence to best practices. Promote knowledge sharing and mentoring within the development team. Required Skills and Qualifications: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. 4-5 years' of experience in machine learning, artificial intelligence, or applied data science roles. Strong programming skills in Python (preferred) and/or R. Proficiency in ML libraries and frameworks , including: scikit-learn, XGBoost, LightGBM, TensorFlow or Keras, PyTorch Skilled in data preprocessing and feature engineering , using; pandas, numpy, sklearn.preprocessing Practical experience in deploying ML models into production environments using REST APIs and containers. Familiarity with version control systems (e.g., Git) and containerization tools (e.g., Docker). Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure . Understanding software development methodologies , especially Agile/Scrum. Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications.

Budget : 15-20 LPA NP- immediate Location-Technopark, trivandrum Exprience- 5+ years We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred

Are you passionate about building AI systems that create real-world impact? We are hiring a Senior AI Engineer with 5+ years of experience to design, develop, and deploy cutting-edge AI/ML solutions. 📍 Location: [Trivandrum / Kochi / Remote – customize based on your need] 💼 Experience: 5+ years 💰 Salary: ₹15–20 LPA 🚀 Immediate Joiners Preferred 🔧 What You’ll Do Design and implement ML/DL models for real business problems Build data pipelines and perform preprocessing for large datasets Use advanced techniques like NLP, computer vision, reinforcement learning Deploy AI models using MLOps best practices Collaborate with data scientists, developers & product teams Stay ahead of the curve with the latest research and tools ✅ What We’re Looking For 5+ years of hands-on AI/ML development experience Strong in Python, with experience in TensorFlow, PyTorch, Scikit-learn, Hugging Face Knowledge of NLP, CV, DL architectures (CNNs, RNNs, Transformers) Experience with cloud platforms (AWS/GCP/Azure) and AI services Solid grasp of MLOps, model versioning, deployment, monitoring Strong problem-solving, communication, and mentoring skills 💻 Tech Stack You’ll Work With Languages: Python, SQL Libraries: TensorFlow, PyTorch, Keras, Transformers, Scikit-learn Tools: Git, Docker, Kubernetes, MLflow, Airflow Platforms: AWS, GCP, Azure, Vertex AI, SageMaker Skills: cloud platforms (aws, gcp, azure),docker,computer vision,git,pytorch,airflow,hugging face,nlp,ml,ai,deep learning,kubernetes,mlflow,mlops,tensorflow,scikit-learn,python,machine learning

Job Title: Python Developer (AI/ML Projects – 5–7 Years Experience) Location: Onsite – Indore, India Job Type: Full-time Experience Required: 5 to 7 years Notice Period: Immediate Joiners Preferred About the Role: We are seeking an experienced Python Developer with 5–7 years of professional experience, including hands-on project work in Artificial Intelligence (AI) and Machine Learning (ML) . The ideal candidate should have strong backend development skills along with a solid foundation in AI/ML, capable of designing scalable solutions and deploying intelligent systems. Key Responsibilities: Design, develop, and maintain backend applications using Python. Build and integrate RESTful APIs and third-party services. Work on AI/ML projects including model development, training, deployment, and performance tuning. Collaborate with Data Scientists and ML Engineers to implement and productionize machine learning models. Manage data pipelines and model lifecycle using tools like MLflow or similar. Write clean, testable, and efficient code using Python best practices. Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, etc. Participate in code reviews, architecture discussions, and agile ceremonies. Required Skills & Experience: 5–7 years of hands-on Python development experience. Strong experience with frameworks such as Django, Flask, or FastAPI. Proven track record of working on AI/ML projects (end-to-end model lifecycle). Good understanding of machine learning libraries like Scikit-learn, TensorFlow, Keras, PyTorch, etc. Experience with data preprocessing, model training, evaluation, and deployment. Familiarity with data handling tools: Pandas, NumPy, etc. Working knowledge of REST API development and integration. Experience with Docker, Git, CI/CD, and cloud platforms (AWS/GCP/Azure). Familiarity with databases – SQL and NoSQL. Experience with model tracking tools like MLflow or DVC is a plus. Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, GCP AI Platform). Exposure to MLOps practices and tools is highly desirable. Understanding of NLP, Computer Vision, or Generative AI concepts is a plus.

Title/Designation: Machine Learning Engineer - NLP Relevant Experience: 3-6 years Key Skills: Python, NLP, LLM, Prompt Engineering, Statistical modeling, Information Retrieval, Search (Solr/ Elastic Search), Training & Data Analysis, Speech & Video recognition. Qualification: BS/MS/BE/ ME/ B-Tech/ M-Tech degree in Computer Science, IT, Statistics or equivalent with programming experience. Location: Baner, Pune. Must-have Requirements: 1. Python mastery & familiarity with GPU, Docker, Linux, deployment of Python apps. 2. Strong Python tech stack in machine learning in NumPy, sci-kit-learn, pandas. 3. Experience in implementation, training & deployment of ML (Classification, regression, clustering Algorithms) and DL (CNN, RNN, LSTM) models - trade-offs & evaluations. 4. Experience with web development frameworks in python either Django or Flask. 5. Build NLP models for query classification and entity recognition to improve relevance. 6. Expertise in Text mining (probabilistic topic models, word association, mining, ontology learning, semantic similarity. 7. Information Retrieval, Text Processing & NLP techniques 8. Experience with Apache Solr, Keras, Tensorflow, OpenCV 9. Experience in LLM, RAG, Vector database, semantic search, word/ paragraph/ document embedding, ranking, etc 10. Experience in search relevance/ ranking, search personalization, spell correction, entity recognition. 11. Theoretical and practical understanding of machine learning techniques in high-dimensional spaces including linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering. Knowledge Additional Competitive Skillsets: 1. Experience with Prompt Engineering 2. Strong Python tech stack in machine learning in distributed (PySpark ML, MLLib) 3. Experience in BERT, GPT, LLAMA, MPT, W2V, USE, TFIDF 4. Semantic knowledge Graph 5. Hadoop Ecosystem fluency (MapReduce, HBase, Kafka, etc.) 6. Proficiency in interactive visualizations Perks & Benefits: 1. You will work with the highly talented group of individuals based in Silicon Valley and Pune 2. Best in Industry Salaries 3. Work directly with on product and LEARN a lot 4. Flat organization structure with a start-up culture 5. Exposure to cutting edge technologies and the latest concepts 6. Weekly healthy snacks 7. Team outings & Sprint parties 8. Paid holidays

Data scientist to join Hub portion of Trustage hub-spoke engagement model support from CoE for part time delivery over 3 year duration assisting with Coco bots deployment and refinement Participate in daily stand-up meetings, update status and risks, and share daily status report and weekly status report. Work with stakeholders to gather representative test data set for AI model. Statically evaluate through visualization, clean-up and prepare data set for AI testing. Assess the effectiveness and accuracy of new data sources and employ data gathering techniques. Use predictive modeling to increase and optimize QA and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Looking for 9-11 years experience. Proficiency in Python or R for statistical analysis and machine learning. Strong knowledge of SQL and experience working with large-scale datasets. Experience with machine learning frameworks and libraries such as Scikit-learn, TensorFlow, Keras, XGBoost, etc. Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong problem-solving and analytical skills with a keen attention to detail. Excellent communication and stakeholder management skills.

At EY, youll 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 were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting AI Enabled Automation Developer Staff -Python We are looking to hire people with strong AI Enabled Automation skills and who are interested in learning new technologies in the process automation space Azure . GenAI , large Lang Models(LLM). RAG ,Vector DB , Graph DB ,Python At EY, youll 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 were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Requirements 2 to 3 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow(Good to have) 1-2 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers At EY, were dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way thats right for you 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.,

Company Description WonderBiz Technologies Pvt. is dedicated to leveraging technology to help global companies improve operational efficiency and reduce costs. With over 8 years in business, we have developed more than 50 products for 30+ international customers, including Silicon Valley startups and Fortune 100 & 500 companies. Our growth-driven culture provides opportunities to work with a highly skilled development team, led by industry veterans with 20+ years of experience. We invest in our employees" growth to ensure top-notch service delivery to our clients. Role Description This is a full-time, on-site role for a Data Scientist located in Thane. The Data Scientist will be responsible for analyzing large datasets to extract meaningful insights, developing data models, performing statistical analyses, and creating data visualizations. The role will involve collaborating with cross-functional teams to understand business requirements and delivering data-driven solutions to meet those needs. Experience: 5-10 years Location: Thane - On site WFO Qualifications We are looking for a Machine Learning Specialist that will be responsible to do analysis and solving of increasingly complex problems proposing, reviewing, maintaining, and delivering detailed designs and technical solutions for our Product development projects. This role provides opportunities to work on a wide variety of projects covering areas including Edge and Cloud computing, developing distributed and fault tolerant systems, containerization etc. You should also have an in-depth understanding of the underlying technologies, and architectures work in 2020. Strong programming skills with proficiency in at least one programming language (preferred Python). Understanding of basic full-stack development concepts. Applying algorithms to generate accurate predictions, Resolving data set problems, Deep knowledge of math, probability, statistics and algorithms, proven experience for GenAI implementations in at least 1 project. Proficiency in data analysis techniques and tools. Working experience in Experience in implementing LLMs tools Expertise in SciPy for scientific and technical computing. Knowledge and experience in deep learning, TensorFlow, NLP and frameworks. Proficiency in at least one Database Management System (DBMS). Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skill. Interested candidate can share their updated CV on manasi.deshmukh@wonderbiz.in,

Job Title: Machine Learning Engineer Location: Bhubaneswar Experience: 4-8 Years Job Description: We are looking for a talented Machine Learning Engineer with 4-8 years of experience to join our team. The ideal candidate will have a strong background in designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will be responsible for analyzing large datasets, identifying patterns, and creating predictive models to drive business insights and optimization. Key Responsibilities: Develop, implement, and optimize machine learning algorithms to solve business problems. Analyze large datasets to extract valuable insights and patterns for decision-making. Collaborate with cross-functional teams to integrate machine learning solutions into business processes. Conduct model training, evaluation, and fine-tuning to improve accuracy and performance. Stay up-to-date with the latest trends and advancements in machine learning and AI. Must-Have Skills: Strong experience in machine learning frameworks and libraries (TensorFlow, Scikit-learn, Keras, etc.). Proficiency in programming languages like Python or R. Hands-on experience in data preprocessing, feature engineering, and model selection. Knowledge of algorithms for classification, regression, and clustering. Strong understanding of statistics, mathematics, and data modeling. If you are passionate about machine learning and eager to apply your skills to impactful projects, apply now to join our growing team! Job Type: Full-time Schedule: Day shift Morning shift Work Location: In person,

Level- M (9+ years experience) Location- Preferred- Chennai, ok with Bangalore & Hyderabad also if the candidate is exceptionally good Notice Period- Immediate-30 Days only Key Responsibilities: Design and Development- Technical Leadership Lead a team of full stack developers to design, develop, and deploy full-stack applications using a range of technologies such as React, Angular, Vue.js, Node.js, Python, Django, Flask, etc. Provide technical guidance and oversight to ensure high-quality, scalable, and maintainable code. Integrate GenAI models and algorithms into existing applications to enhance functionality and user experience. Collaborate with data scientists and engineers to develop and deploy machine learning models and GenAI-powered features. GenAI Development Develop and train GenAI models using popular frameworks such as TensorFlow, PyTorch, or Keras. Integrate GenAI models with front-end and back-end applications to create seamless user experiences. Optimize and fine-tune GenAI models for performance, accuracy, and scalability. Front-end Development Develop responsive, interactive, and user-friendly front-end applications using HTML, CSS, JavaScript, and popular front-end frameworks. Ensure cross-browser compatibility and optimize front-end performance. Back-end Development Design and develop scalable, secure, and efficient back-end applications using Node.js, Python, or other programming languages. Integrate with databases, APIs, and third-party services to support application functionality. Testing and Deployment Write unit tests, integration tests, and end-to-end tests to ensure application quality and reliability. Collaborate with DevOps teams to deploy applications to cloud platforms such as Azure or Google Cloud. Collaboration and Communication Work closely with cross-functional teams, including data science, product, and design teams. Communicate technical concepts and trade-offs to non-technical stakeholders. Requirements: Technical Skills 10+ years of experience in full-stack development with a focus on JavaScript, Python, or other programming languages. Experience with GenAI Azure Open AI and frameworks such as TensorFlow, PyTorch, or Keras. Familiarity with front-end frameworks such as React, Angular, or Vue.js. Experience with back-end frameworks such as Node.js, Django, or Flask. Knowledge of database management systems such as MySQL, MongoDB. GenAI Skills Experience with GenAI models /Transformers. Familiarity with GenAI applications such as image generation, language translation, or text summarization, extraction. Knowledge of GenAI ethics and bias mitigation techniques. Soft Skills Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing requirements. Nice to Have: Cloud Experience: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization using Docker or Kubernetes. DevOps Experience: Experience with DevOps tools such as Jenkins, GitLab CI/CD. Familiarity with agile development methodologies such as Scrum or Kanban. Data Science Experience: Experience with data science tools such as Jupyter Notebooks, pandas, or NumPy. Familiarity with data visualization libraries.,

This role is Hybrid in Bengaluru, currently remote with monthly in-person meetups, and will transition to a more regular in-office schedule once our new office opens. About Galileo Galileo is the leading platform for Gen AI evaluation and observability, with a mission to democratize building safe, reliable, and robust applications in the new era of AI powered software development. Our foundation is built on pioneering the early technology behind the world's most ubiquitous AI applications including Apple's Siri, Google Brain, and Google Speech. We firmly believe that AI developers require meticulously crafted, proprietary research-driven tools to create trustworthy and high-quality generative AI applications that will revolutionize our work and lifestyle. Galileo addresses the complexities inherent in experimenting with, evaluating, and monitoring GenAI applications, optimizing the development process for both individual developers and teams by offering a comprehensive platform that spans the full AI development lifecycle. Galileo bridges critical gaps, significantly enhancing developers" ability to refine and deploy reliable and precise GenAI applications. Since its inception, Galileo has rapidly gained traction, serving Fortune 100 banks, Fortune 50 telecom companies, as well as AI teams at prominent organizations such as Reddit and Headspace Health, among dozens of others. Galileo has AI research at its core, having started out of the Stanford AI Lab, it is now a Series B business, backed by tier 1 investors such as Battery Ventures, Scale Venture Partners, Databricks Ventures, and others with $68M in total funding, with offices strategically located in New York and San Francisco, and is growing rapidly. Role Description As an Applied Data Scientist at Galileo, you will be at the forefront of deploying and customizing advanced generative AI technologies for a diverse set of customers. Your role involves a dynamic combination of technical expertise and customer engagement, where you will work closely with customers to understand their unique AI challenges and deliver tailored solutions. Leveraging cutting-edge tools like retrieval augmented generation (RAG), large language models (LLM), and Galileo's proprietary technologies, you will develop, optimize, and integrate AI systems that drive significant improvements in customer workflows and decision-making processes. In this role, you will also play a critical part in the iterative improvement of our technologies through continuous feedback and performance monitoring. You will provide expert-level support, troubleshoot and resolve issues, and conduct training sessions to empower users with the tools and knowledge needed to maximize the benefits of Galileo's solutions. Your contributions will directly influence product strategy and development, ensuring that our solutions remain at the leading edge of industry standards and client expectations. Main Responsibilities - Collaborate Closely with Customers: Engage directly with Galileo's customers to deliver solutions that address their specific generative AI challenges. This involves understanding their unique needs and proposing tailored applications of Galileo's technologies. - Implement Advanced ML Techniques: Work hands-on with state-of-the-art machine learning technologies, including retrieval augmented generation (RAG), agents, tools, and other cutting-edge LLM technologies, to enhance customer applications. - Develop and Optimize LLMs: Build, train, and refine large language models such as Llama and Mistral tailored for Galileo's users. Utilize the Galileo platform to enhance the performance and efficiency of these models, ensuring they meet specific customer requirements. - Continuous Feedback: Establish a continuous improvement loop by gathering user feedback, monitoring system performance, and making necessary adjustments to models and solutions. This ensures the solutions remain effective and aligned with user needs. - Integration and Workflow Optimization: Assist in the seamless integration of Galileo technologies into customer workflows, ensuring that the solutions enhance operational efficiency and are easy to adopt. - Support and Troubleshooting: Provide expert technical support to customers, helping to troubleshoot issues and optimize the performance of deployed solutions. This includes responding to inquiries, diagnosing problems, and offering immediate solutions or workarounds. - Educate and Train Users: Conduct training sessions and workshops for customers to help them understand and effectively use Galileo's products. This also involves creating documentation and resources that facilitate easier adoption and usage of the platform. - Contribute to Product Strategy: Provide insights and feedback from customer experiences to the product development teams to inform future product enhancements and new features. This role acts as a bridge between customer needs and the technical capabilities of Galileo. Minimum Qualifications - Education: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. - Experience: At least 2 years of relevant work experience in utilizing deep learning frameworks such as PyTorch, TensorFlow, or Keras to address product or business challenges. - Technical Skills: Proficiency in statistical analysis and data science methodologies using Python, R, or SQL. Demonstrable experience in building and optimizing machine learning models. Preferred Qualifications - Advanced Degree: Master's or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field. - Specialized Experience: Experience with large language models (LLMs) and technologies such as retrieval augmented generation (RAG) or similar ML models in production environments. - Industry Knowledge: Prior experience in implementing AI solutions in real-world applications, particularly in sectors relevant to Galileo's client base. - Project Management: Strong project management skills with a proven track record of leading projects from conception to implementation. - Communication Skills: Excellent communication and interpersonal skills, capable of explaining complex technical details to non-technical stakeholders and conducting effective training sessions. Why Galileo Join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally We obsess over our team's culture driven by inclusivity, empathy, and curiosity We invest in our team's development and happiness because our employees are the keys to our success and ensuring happy customers towards that end, we offer: * Unlimited PTO Employee Stock Participation Plan Commuter Benefits Mental and Physical Wellness Company Paid Lunches Headquarters Office in San Francisco and a hub in New York *Build the company with the Founders*,

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. What You’ll Do You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your Key Responsibilities Will Be Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection. Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product. Algorithm optimization to reduce computational cost and influence hardware requirements. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras, especially in the context of image analysis. Knowledge of GPU programming using CUDA or OpenCL. You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence. Experience working in Semiconductor industry. Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. Experience in managing teams, sets organizational priorities and allocates resources. Ph.D. or Master’s in computer science/engineering or similar fields with 5+ years of experience Education Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning Years Of Experience 5- 10 Years Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type Assignee / Regular Travel Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.