1640 Keras Jobs - Page 24

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key duties & responsibilities Primary responsibilities include: Manage the architectural and technical direction In line with the Business goals on existing as well as new Automation development. Provide technical guidance and architecture support for Automations, Working with IT leadership to understand enterprise technical strategy and help in providing application roadmaps. Enable teams to implement roadmap or in performing modernization activities. Enable leadership and development teams to manage Technical obsolescence / Tech Debt Making sure applications are meeting architecture standards. Estimate, design and develop scalable RPA solution in highly collaborative agile environment. Creation of Intelligent Automation framework including reusable components and ML Model. Understand the business lines aims & aspirations, and define the scope of automation, conduct pre-analyses of the technical feasibility & estimate development time enabling smooth testing and rollout. Identify & implement the right, advance data and analytics tools, Visualization and decision tools like Python\R for real time analytics. Solutioning the business needs/requirements, participate/drive discussions with business for the documentation of the requirements and solution which can be taken by delivery. Coaching, mentoring and developing pool of Staff Engineers and engineers within the organization and ensuring alignment of pool to company-wide vision and strategies. Serves as the point of escalation for Automation Architecture/Design concerns and technical challenges. Qualification Graduate (B.Tech/BE/MCA/BCA/MSc/BSc-Computer Science) or equivalent academic qualification Master Certification Automation Anywhere Experience, Skills and Knowledge Must have Bachelors degree in computer engineering, or similar field. 12+ years hands-on experience on the following of which at least 5 years in leading RPA, Intelligent Automation and managing teams. Should be from Development Background Must have experienced in RPA tool Automation Anywhere and Intelligent Automation with Python and R Expertise in OCR and related technology. Experience in Java, Tensor Flow, Pytorch, Keras, AbbY, HuggingFace, ELK, Splunk RPA frameworks and automation reporting tools Modern engineering practices such as Behavior Driven Development (BDD), Test-Driven Development (TDD), using the Microsoft .NET stack Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Software development background and scripting with one or more of the following languages: .Net, Java, PowerShell, Python Excellent project management skills. Self-motivated, goal-oriented and persistent; very organized and comfortable producing and managing the details. Experience working with globally distributed teams in a multinational company Familiarity with software architecture principles including open source, object-oriented programming, SaaS, service-oriented architecture, microservices and design patterns; and how architecture impacts team organization and performance. Nice to have Good to have experienced in different RPA and BPM tools like Work Fusion, UiPath and Blue Prism etc. Experience in AI/ML. Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 and HIPAA is a major plus. Awareness of DevOps, Agile, Kanban, Scaled Agile Framework (SAFe). Key competency profile Ability to work with cross-functional teams Ability to juggle multiple projects simultaneously Excellent leadership skills Excellent written and verbal communication High attention to detail Experience in customer service Key success criteria Provide automation architectureand detailed technical design documents Alternate design solutions anddecision points by highlighting pros & cons Identify and develop prototypes and leadPoCsfor Bot Architecture that assist in design decisions Provide detailedbuildestimatesto deliver architecture in scope Identify dependencies across various new & existing components/Technology along withtechnicalrisks associated Produce solution architecture document that detail out the architecture blueprint, risks, assumptions andtechnical dependencies On timeand continuousdelivery of Bot Framework and Architecture related components with high quality research and innovative approach following the modern RPA practices and processes. Team Player, ability to direct individual accomplishments toward organizational objectives

Job Title: AI/ML Engineer – Generative AI Specialist Experience: 7-9 Years Location: Chennai/On-site Job Type: Full-Time About the Role: We are looking for a highly motivated AI/ML Engineer with 3–5 years of experience to join our growing team. This role focuses on building and optimizing solutions using Generative AI . You’ll work at the intersection of AI research and real-world application development, helping us deliver next-generation intelligent systems for enterprise use cases. Responsibilities: • Design, build ML models with a focus on LLMs and Generative AI. • Conduct research that contributes to the state-of-the-art in LLM architectures. • Expertise in full and parameter-efficient fine-tuning (LoRA, QLoRA, Adapter, Prefix Tuning), instruction tuning, RLHF, and multi-task learning. • Proficient in model compression (AWQ, GPTQ, GPTQ-for-LLaMA) and optimized inference engines (vLLM, DeepSpeed, FP6-LLM). • Develop and maintain scalable APIs to serve model outputs in production environments. • Collaborate with cross-functional teams (product, data and engineering) to identify AI opportunities and deliver solutions. • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases (e.g., FAISS, Pinecone). • Database Knowledge: Experience with PostgreSQL. • Research and apply the latest techniques in prompt engineering, model compression, and optimization. • Monitor, evaluate, and continuously improve model performance and reliability. Required Skills & Experience: • Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field. • 7-9 years of hands-on experience in AI/ML development and Expertise in Agentic approach. • Strong programming skills in Python and experience with ML frameworks such as Proficiency in TensorFlow, PyTorch, Keras • Experience in distributed training, NVIDIA AI platforms, and cloud/on-premise infrastructure. • Familiarity with integrating MCP-based architectures into broader system workflows, ensuring semantic consistency and interoperability. • Experience with performance tuning, caching strategies, and cost optimization, particularly in the context of production-grade LLM deployments. • Experience with LLMs, including fine-tuning, prompt engineering, and using frameworks like Hugging Face Transformers. • Familiarity with GenAI techniques and tools such as LangChain, LangGraph, LLMOps, LoRA, and PEFT. • Experience deploying models using FastAPI, Flask, Docker, or on cloud platforms (AWS/GCP/Azure). • Understanding of NLP concepts, deep learning architectures, and transformer models. Preferred Qualifications: • B Tech or MTech in AI -Data Science - Gen AI -Computer Science, Data Science with Real Gen AI Project/Product Development Experience/Fine Tuned LLM Experience is added advantage • Knowledge of AI guardrails, compliance frameworks (e.g., Microsoft AI Guidance), and responsible AI practices. • Previous work on chatbots, copilots, or AI assistants. • Publications, contributions to open-source projects, or participation in AI competitions.

About DeepTek DeepTek is a pioneering healthcare AI company aiming to transform radiology by empowering radiologists with an AI-powered, feature-rich radiology platform and specialized AI models. We leverage cutting-edge technologies to deliver advanced solutions in medical imaging. With a team of over 200+ members, including top-tier application developers, data scientists, and expert radiologists, DeepTek fosters an environment of innovation and collaboration. Job Description We are looking for a Data Scientist who is passionate about working in the healthcare AI domain. This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging. You will gain hands-on experience working on advanced projects and research opportunities in Computer Vision and Deep Learning. 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 2-3 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, India https://goo.gl/maps/Fmd22UNSiXYQD2ba9 Please send your resumes at hr@deeptek.ai

This role is for one of Weekday's clients Min Experience: 0 years Location: Bengaluru JobType: full-time Requirements About the Role: We are seeking a motivated and passionate Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for recent graduates or early-career professionals to work on real-world applications of Machine Learning (ML) , Artificial Intelligence (AI) , and Natural Language Processing (NLP) technologies. You'll be part of a team that builds intelligent systems to solve complex problems and deliver value to our customers across domains. If you're a self-starter who's eager to apply theoretical knowledge into practice, experiment with state-of-the-art tools like TensorFlow , and work collaboratively on challenging problems in NLP and AI, this role is for you. Key Responsibilities: Assist in the development, training, and evaluation of machine learning models using Python and libraries such as TensorFlow and Scikit-learn. Support data collection, preprocessing, and transformation tasks to build robust ML pipelines. Collaborate with data scientists, software engineers, and product teams to understand problem requirements and deliver ML-based solutions. Work on natural language processing tasks such as text classification, sentiment analysis, named entity recognition, and language modeling. Implement ML models into production environments and monitor model performance. Conduct research and stay updated with the latest developments in AI/ML and NLP. Optimize and tune models for accuracy, speed, and scalability. Prepare documentation, reports, and presentations to communicate results and findings to stakeholders. Required Skills: Basic understanding of machine learning concepts such as supervised/unsupervised learning, classification, regression, and clustering. Familiarity with Python programming and common ML libraries like TensorFlow, Keras, Scikit-learn, and Pandas. Exposure to natural language processing (NLP) tasks and basic algorithms. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Enthusiasm to learn and work with deep learning models and frameworks. Strong analytical thinking and problem-solving skills. Good communication skills and the ability to work in a collaborative environment. Nice to Have: Internship or project experience in ML, AI, or NLP. Knowledge of neural networks, RNNs, CNNs, or transformer models like BERT or GPT. Experience working with large datasets or on cloud platforms such as AWS, GCP, or Azure. Understanding of version control (Git) and deployment tools (Docker, MLflow, etc.). Participation in ML competitions (e.g., Kaggle) or open-source contributions. Educational Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.

Position Summary POSITION SUMMARY AND PRIMARY RESPONSIBILITIES The Software Engineer develops capabilities required to build software systems using various software and cloud technologies. He/She should have strong analytical, problem solving, Software programming, Software Database, ability to create visualization and interaction layer on Web/Windows with good integration with underlying technology framework and computer operating system such as Windows / Unix. Any exposure to AI/ML and Data science is an added advantage. Responsibilities Develop/Build software application / systems based on the design document across Front-end (web/windows), Back-end (.net/java/python) and Database systems Utilize best practices around design, coding, automated unit, regression testing, and deployment of software to production Work effectively in the agile-at-scale framework Clearly communicate status, updates and plan to project leadership Learn, acquire and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data science will be of additional advantage. Please describe in some detail the level of supervision provided: Report to Project manager or Technical lead or equivalent with general supervision. Required Skills At least one of Java/.Net/Python/NodeJS Good Knowledge of JavaScript At least one of ASP.Net/Angular/ReactJS RDBMS (Oracle/SQL Server/Postgre) and Good Knowledge of SQL Preferable: Knowledge of database management tools like Liquibase / Hibernate Good understanding of Devops (e.g. Azure DevOps) and cloud PaaS. Good understanding of coding standards, ability to debug. Good understanding of Software development lifecycle and processes. Cloud-based (AWS/Azure) deployment of models, performance monitoring and issues troubleshooting Excellent written and oral communication skills Ability to work effectively in a cross-functional team Familiarity with Docker and Git Exposure to AI/ML frameworks in Python, Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles Most of our Full Stack projects use MEAN/MERN stack. So knowledge of this will be an added advantage. POSITION SPECIFICATIONS Bachelor’s degree in Computer Science OR Information Technology.

Job Title: AI/ML Intern Location: Pratap Nagar, Jaipur (On-site) Duration: 3 to 6 Months Internship About the Role: We are seeking a driven and enthusiastic AI/ML Intern to join our on-site team in Pratap Nagar, Jaipur. This internship offers a great opportunity to work on practical machine learning and AI-based projects under expert guidance. Key Responsibilities: Assist in developing, training, and evaluating ML models Work with datasets for preprocessing, cleaning, and feature engineering Support in research and implementation of AI algorithms Collaborate with developers and project leads on real-time AI/ML use cases Required Skills: Strong understanding of Python and libraries like NumPy, Pandas, Scikit-learn Familiarity with basic Machine Learning algorithms Knowledge of TensorFlow, Keras, or PyTorch is a plus Eagerness to learn and solve real-world problems Stipend Structure: 3-Month Internship: ₹10,000 (Total for 3 months) 6-Month Internship: ₹24,000 (Total for 6 months) Note: This is a full-time, on-site internship opportunity based in Pratap Nagar, Jaipur. Remote work is not allowed.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India . Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 4 years of experience coding in a general purpose coding language or in system design, and troubleshooting and advocating for customers' needs, and triaging technical issues. 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes. Experience in Computer Networking (e.g., Firewalls, Routing, Load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.). Experience in Artificial intelligence (AI) concepts and techniques. Experience with AI model trainings, performance analysis and integration with other Cloud services. Preferred qualifications: 2 years of experience in recommendation systems, NLP, speech recognition, or computer vision. Experience with exploratory data analysis, model development, auxiliary practical concerns in production ML systems. Experience in Generative AI understanding of Prompt Engineering, tokenization. Experience with public cloud services and infrastructure. Experience with troubleshooting ML models (e.g., Tensorflow, Keras, PyTorch). Experience with performance analysis of containerized systems, with understanding of underlying resources like Kubernetes, compute resources. Excellent leadership and influencing skills in AI/ML application, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools. About The Job The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. As a Technical Solutions Engineer, you will be a part of a global team that provides support for customer issues. You will ensure we have the necessary tools, processes, and needed technical knowledge to resolve the issue. In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation and when needed coding/scripting. You will make our products easier to adopt and use by making improvements to the products, tools, processes and documentation. You'll help drive the success of Google Cloud by understanding and advocating for our customer issues. You will work in a Shift Pattern or non-standard work hours as needed, including weekends. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with customers on their ML deployments to resolve issues, achieve production readiness, availability, and scale. Partner with Product and engineering teams to improve products based on customer feedback. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, fix product bugs, drive production. Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products. Develop an understanding of Google Cloud’s AI/ML products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools for faster diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Role**: Digital : Data Science Required Technical Skill Set: Data Scientist Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 30Days only Location of Requirement: Hyderabad/Kolkata/Bangalore/Chennai/Pune We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.

Job Title: Senior Data Scientist Location: Bangalore (Hybrid) Experience: 3+ Years Job Type: Full-Time About the Role We’re looking for a Senior Data Scientist to help us uncover insights from large datasets and power smarter decisions. You’ll apply forecasting, machine learning, and data visualization techniques to solve complex business problems and improve product performance. Key Responsibilities Apply statistical forecasting algorithms to predict short and long-term business outcomes Build predictive models and machine learning solutions for real-world applications Leverage deep learning to enhance forecast accuracy (preferred) Translate business challenges into structured analytical problems Present insights through data storytelling and visualization using tools like Tableau Collaborate with cross-functional teams to integrate models into products Mandatory Skills 3+ years hands-on experience as a Data Scientist Strong proficiency in SQL and Python Experience with machine learning , predictive analytics , and forecasting techniques Knowledge of deep learning frameworks (Keras, TensorFlow, etc.) is a plus Proficiency in Tableau or similar BI tools Excellent communication and presentation skills

Job Description: Overview: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues. Performs very complex data science work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Designs, builds, and analyzes large (e.g. 100’s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include snowflake and databricks. Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs. Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.). Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics-Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions. Key Skills: Python, R, Scala, Generative AL, Credit, Modele development, Fraud, tiral analysis, Machine Learning (ML), Snowflake, databricks, Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI, building scalable models and intelligent systems that power our next-generation sports tech platform Responsibilities Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4 etc. ) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Requirements Strong command of Python and familiarity with C/C++ Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e. g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems An undergraduate degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. This job was posted by Siddhartha Dutta from Tech At Play.

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities: Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Machine Learning Engineer Experience: 5+ years No. Of Positions: 5 Location : Bangalore (White Field) Budget : 27 LPA Key Skills: Strong experience in ML model development & deployment Hands-on with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in Python, scikit-learn, and ML/DL libraries Expertise in building and optimizing neural networks for real-world applications Solid understanding of data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, GCP) Job Types: Full-time, Permanent Pay: ₹2,080,325.89 - ₹2,519,922.05 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Experience: Cloud development: 5 years (Required) Work Location: In person Expected Start Date: 30/06/2025

About Us Arcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested code. Build and consume RESTful or GraphQL APIs following best practices. Containerize microservices using Docker and collaborate on Kubernetes deployments. Implement and monitor background tasks with Celery, including retry strategies and alerting. Integrate third-party services via webhooks (e.g., Stripe, Razorpay). Set up WebSocket consumers using Django Channels to power real-time features. Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch. Write unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverage. Follow Git branching strategies and contribute to CI/CD pipeline definitions. Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required Qualifications Bachelor’s degree in Computer Science or a related field. 2–3 years of professional experience working primarily in Python. Strong proficiency with Python standard library and common packages (e.g., NumPy). Solid experience designing and consuming RESTful/GraphQL APIs. Hands-on experience with Docker and at least one cloud platform (AWS or Azure). Proven track record of writing tests with pytest or unittest frameworks. Familiarity with Git workflows and CI/CD best practices. Excellent problem-solving skills and clear communication.  Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch. Prior work with the Django web framework. Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning). Background in data analysis, statistics, or applied mathematics. Exposure to Celery task queues and real-time application patterns. Contributions to open-source Python or AI projects.

: Software Engineer Dev Python ML REQ/0749 Job Id: REQ/0749 Location: Chennai Experience: 3 to 8 Years CTC: 10L to 18L Date Posted: 26-Jun-2025 Employment Type: Permanent No. of Openings: 6 Looking for an ML Engineer to design & implement AI/ML models using Python, TensorFlow, PyTorch, Scikit-learn. Optimize models, run experiments, transform data via classification/clustering, and stay updated on the latest AI/ML advancements. Desired Candidate Profile 3 years of experience in Software Design & Development in Python Makes pragmatic technical decisions beyond immediate scope Strong in debugging complex issues and mentoring junior engineers Solid understanding of Data Structures and OOP Proficient in TDD, Unit & Integration testing Experience with Databases, Statistics, and Data Science Skilled in Python; can write robust, testable code Hands-on with ML frameworks: Keras, PyTorch, scikit-learn AutoML experience is a plus Familiar with AI Cloud platforms: H2O, DataRobot, AWS, Azure Education/Specific Knowledge Bachelors or Above Degree in any discipline Key Skills Python AI/ML Keras PyTorch scikit-learn H2O DataRobot AWS Azure FastAPI/Flask MySQL or Oracle or PostgreSQL XML Unit Testing Highlights To know the benefits of Sysvine please visit the bottom of this page. We are open to considering candidates who are on a long break but are still passionate about restarting their careers. Our Benefits India USA Engaging: Annual Team Trips Happy Fridays GameVine - Annual Games AimVine - Annual Party Social Responsibilities - Tree Planting, Volunteering for Orphans, Gadget Donations, Blood Donations Camps, Flood Relief Support, Cyclone Relief Support Health Campaigns Birthday Celebrations First Aid & Fire Safety Training Guest Speakers Benefits: Accidental Insurance Family Health Insurance Parental Health Insurance Sick Leave Casual Leave Privilege Leave Floating Leave Holidays Short Term Disability Insurance Long Term Disability Insurance Employee Referral Bonus Product Referral Bonus Sodexo Passes Remote Working Flexible Working Hours Maternity Benefit Leave Encashment Tuition Reimbursement Niceties: Welcome Kit MacBook Pro iPhones and Android Phones for Mobile Departments Coffee and Biscuits Recreation Room Resting Room Fitness Programmes and Equipment International Traditional Day Personal Tax Management Sessions Shuttle Services from/to Train Big Monitor Recognition: Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Overseas Deputations Leadership Training Programs Technical Conferences Engaging: Ethical Diverse Team Lunches D-Day (Difficult Day Policy) I-Day (Inconvenient Day Policy) Technical Conferences Personal Financial Management Sessions Leadership Training Programs Tax Saving Sessions Guest Speakers Benefits: Health Insurance Unemployment Insurance Paid Time Off Floating Leaves 8 Holidays Short Term Disability Insurance Workmen Compensation Employee Referral Bonus Product Referral Bonus CalSavers Tuition Reimbursement Recognition: Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Technical Conferences

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global commercial analytics capability of Sales & Distribution Analytics. Work with internal stakeholders at ABI to understand their business problems, translate those problems into statistical problems like survey design, experiment design, optimization, forecasting, etc which can best address those business problems, work with statistical experts to develop robust models and generate business insights. Key tasks & accountabilities Understand the business problem and translate that to an analytical problem; participate in the solution design process. Storyboarding and presenting the insights to stakeholders & senior leadership. Independently lead project delivery. Working with Analytics Manager to create project plan, and design analytics roadmap. End to end development and deployment of machine learning or deep learning models. Ability to communicate findings clearly to both technical and business stakeholders. Should be able to quantify the impact, and continuously implement improvements. Document every aspect of the project in standard ways. Summarize insights and recommendations to be presented back to the business. Use innovative methods to continuously improve the quality of statistical models. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required. Bachelor’s or master’s degree in engineering, Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis. Previous work experience required: 6+ years in data science role, preferably in CPG domain Expert level proficiency in Python (knowledge of classes, decorators, written end-to-end ML or Software or data pipelines in python) Experience working with SQL (knowledge of data warehouses, different databases, and fundamentals about RDBMS) Experience working with Azure (ADLS, Databricks, Azure SQL or Postgres, app services and related) Well versed with Machine learning and Deep learning algorithms implementation Exposure to working with complex datasets, machine learning and DL libraries like scikit-learn, TensorFlow, Keras, Pytorch etc. Capable of building insightful visualizations in Python Good to have –category management, Optimization techniques, knowledge of html, CSS, JS, YAML/docker & has worked on Dash /Flask /Django or any web application framework. Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL. Expert level proficiency in Python (knowledge of writing end-to-end ML or data pipelines in python). Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills Required. Demonstrated leadership skills. Passion for solving problems using data. Detail oriented, analytical, and inquisitive Ability to work independently and with others. Takes responsibility and makes effective decisions. Problem solving Planned and organized. And above all of this, an undying love for beer! We dream big to create future with more cheers.

A Day In The Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Use software design principles to develop production ready code. Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. Optimize and fine-tune machine learning models for performance and accuracy. Deploy machine learning models into production environments and monitor their performance. Develop processes and tools to monitor and analyze model performance and data accuracy. Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders. Mentor and provide guidance to junior Machine Learning Engineers. Required Knowledge and Experience: Bachelors degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics 5+ years of industry experience in writing production level, scalable code (e.g. in Python) 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning 4+ years of industry experience with distributed computing frameworks such as PySpark 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.). 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP 1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock. Experience in building Agentic AI applications. 2+ years of technical leadership leading junior engineers in a product development setting. Preferred Qualifications: MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields. Proficient in containerization services Proficient in Sagemaker to deploy the models Experience with working in CICD framework Experience in deploying and scaling Open source LLM Models If interested, please share your updated CV on ashwini.ukekar@medtronic.com

Machine Learning Engineer Experience: 5+ years No. Of Positions: 5 Location : Bangalore (White Field) Budget : 27 LPA Vendor Payout : 90K Key Skills: Strong experience in ML model development & deployment Hands-on with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in Python, scikit-learn, and ML/DL libraries Expertise in building and optimizing neural networks for real-world applications Solid understanding of data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, GCP) Job Types: Full-time, Permanent Pay: ₹2,280,325.89 - ₹2,719,922.05 per year Benefits: Provident Fund Schedule: Rotational shift Work Location: In person

We are looking for a passionate and detail-oriented AI Trainer to join our team. The ideal candidate will be responsible for developing training datasets, training AI models, and evaluating their performance to enhance our AI-driven products and services. You will work closely with our team of data scientists, engineers, and product managers to ensure our AI models meet the desired accuracy and efficiency standards. Key Responsibilities: Develop and manage large datasets for training and validating AI models. Train AI models using supervised, unsupervised, or semi-supervised learning techniques. Collaborate with data scientists and engineers to understand project requirements and implement effective training strategies. Monitor and evaluate AI model performance, making adjustments as necessary to improve outcomes. Stay up-to-date with the latest AI training techniques and methodologies to ensure best practices are applied. Provide insights and recommendations on improving AI model accuracy and efficiency. Document training processes, methodologies, and model performance metrics. Requirements skills and Qualification: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Master's degree preferred. Proven experience in training AI models and managing large datasets. Strong understanding of machine learning algorithms and deep learning frameworks such as TensorFlow, Keras, or PyTorch. Excellent analytical and problem-solving skills. Ability to work collaboratively in a team environment as well as independently. Excellent communication and documentation skills. Familiarity with programming languages such as Python or R. Proficiency in Malayalam/Tamil/English, with strong verbal and written communication skills. Job Types: Full-time, Permanent, Fresher Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Provident Fund Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Work Location: In person

Company Overview: InternVault is a rapidly growing virtual internship platform under Ladous Technology Pvt Ltd, offering structured project-based internships across diverse domains to students and early professionals globally. We are on a mission to bridge the gap between learning and employability with impactful real-world experience. Role Summary: We are seeking a full-time AI/ML Engineer to design, develop, and implement machine learning models and AI solutions to enhance our platform features, automate processes, and improve user experience. This is an exciting opportunity for freshers with strong skills or early-career AI/ML professionals to work on impactful real-world projects in a fast-scaling edtech startup. Key Responsibilities: 🔹 Model Development & Deployment Design and build scalable machine learning models to support business needs (e.g. recommendation systems, NLP-based automation, analytics predictions). Deploy ML models into production environments with efficient pipelines. 🔹 Data Analysis & Feature Engineering Collect, clean, and analyse large datasets to derive insights and build features for AI/ML models. Work with data analysts to identify key data trends and opportunities for automation. 🔹 AI Solution Implementation Develop AI-driven solutions for chatbots, automated evaluation systems, and personalised learning pathways on the InternVault platform. 🔹 Research & Innovation Stay updated with latest AI/ML research and propose innovative applications relevant to the business. 🔹 Collaboration & Documentation Collaborate with Product, Tech, and Data teams to integrate AI solutions into platform workflows. Maintain clear documentation for models, processes, and code repositories. Requirements: ✔ Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field ✔ Freshers with strong academic projects or internships in AI/ML are welcome ✔ Proficiency in Python and ML libraries (e.g. scikit-learn, TensorFlow, Keras, PyTorch) ✔ Solid understanding of machine learning algorithms, data structures, and model evaluation ✔ Experience with data analysis, feature engineering, and data visualisation ✔ Knowledge of NLP, computer vision, or recommender systems is a plus ✔ Ability to work in a fast-paced, collaborative startup environment ✔ Strong problem-solving skills and attention to detail. Benefits: ✔ Competitive salary based on skills and potential ✔ Opportunity to work on innovative AI/ML projects with global impact ✔ Professional growth with mentorship and ownership ✔ Collaborative and supportive work culture.

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.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred Technical And Professional Experience Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Preferred Education**: Graduates from IIT or equivalent premier institutions About the Role: We are in search of a couple of top-notch AI developers to join our team remotely. The role is ideal for someone passionate about building innovative AI-based applications and contributing to cutting-edge technology solutions. The candidate should have a strong background in AI, machine learning, and deep learning, with hands-on experience in building and deploying AI models. Key Responsibilities: 1. Develop, implement, and maintain advanced AI algorithms and models. 2. Collaborate with cross-functional teams to integrate AI solutions into our application. 3. Optimize and fine-tune models for performance, scalability, and efficiency. 4. Continuously research and stay updated with the latest advancements in AI/ML technologies. 5. Write clean, maintainable, and efficient code. 6. Troubleshoot and debug AI models and systems. 7. Participate in peer reviews and contribute to team knowledge sharing. Required Skills: - Strong proficiency in programming languages such as Python, R, or Java. - Hands-on experience with AI/ML libraries and frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. - Solid understanding of machine learning algorithms, deep learning techniques, and natural language processing. - Knowledge of cloud platforms such as AWS, GCP, or Azure for AI model deployment. - Experience with data preprocessing, feature engineering, and model evaluation metrics. - Strong problem-solving skills and the ability to work independently in a remote setup. - Excellent communication and teamwork skills. Preferred Qualifications: - A degree from IIT or equivalent premier institutions - Experience in developing AI-driven applications, with at least one year of hands-on experience. - Previous exposure to projects related to AI-based apps, computer vision, NLP, or similar fields

B. Tech / B.E. from a Tier-1 Institution (IITs, IISc, IIITs, BITS, NITs or similar institutions), preferably in Computer Science, IT, Electronics Engineering, Electrical Engineering, Mathematics or any other related field. Minimum 2+ years of hands-on experience in machine learning, deep learning, or computer vision roles. Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras. In-depth knowledge of CNNs, Transformers, Siamese networks, contrastive learning, and embedding space analysis. Proficient in Python and experienced with largescale data processing tools like Spark, Dask, or Hadoop. Prior experience working with biometric, or image datasets (face, iris, fingerprint) is desirable. • Strong understanding of data cleaning, clustering (e.g., DBSCAN, K-Means), anomaly detection, and unsupervised learning. Knowledge of privacy-preserving techniques such as federated learning, differential privacy & homomorphic encryption is a plus. Job Profile Design and develop state-of-the-art deep learning models for biometric recognition (facial, fingerprint, iris) and fraud detection using convolutional neural networks (CNNs), transformers, and hybrid architectures. Lead the design of end-to-end AI pipelines: data ingestion, pre-processing, model training, evaluation, and deployment in production environments. Conduct thorough error analysis A/B testing, and performance evaluations to identify weaknesses and improve recognition accuracy and system efficiency. Architect scalable data pipelines for image and biometric signal cleaning, feature extraction, clustering, and deduplication at the national scale. Collaborate with domain experts, biometric vendors, and legal/policy teams to ensure technological solutions are interpretable, robust, and policy compliant. Monitor system drift, adversarial threats, and fraud patterns in biometric usage across the Aadhaar ecosystem. Publish internal technical reports and participate in peer reviewed research where appropriate. Mentor and guide junior data scientists and ML engineers in best practices. What We Offer Unique opportunity to work on the largest biometric identity system in the world. Access to UIDAIs unparalleled scale of identity data and secure research environments. Competitive compensation and benefits tailored for top-tier AI talent in the public sector. A mission-driven organization with direct impact on national scale governance, security, and inclusion