5485 Deep Learning Jobs - Page 37

Roles and Responsibilities: Required to Identify, develop and implement the appropriate statistical techniques, algorithms, and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain, and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Ability to build, train, and lead a team of data scientists. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Experience applying statistical ideas and methods to data sets to answer business problems. Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategies. Working on ML Model Containerisation. Testing and Monitoring ML Models. Creating ML Model Inference Pipeline. Strong Python programming Knowledge- Data Science and Advanced Concepts like Abstract Class, Function Overloading + Overriding, Inheritance, Modular Programming and Reusability Cloud Experience in using Azure services, REST API using Flask or fastapi frameworks Good to have - Pyspark: Spark Dataframe Operations, SQL functions API, Parallel Execution Good to have - Unit testing using Python pytest or Unittest Requirements: 6 plus years of experience in a related position, as a data scientist building Predictive Analytics, Computer Vision, and NLP solutions for various types of business problems. Bachelor/Master/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. Advanced knowledge of statistical techniques, machine learning algorithms, and deep learning frameworks like Tensorflow, Keras, PyTorch Programming background and expertise in building models using at least one of the following languages: Python, R Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate with onshore and offshore teams. Be a problem solver and be proactive to solve the challenges that come his way.

Responsibilities: Design, develop, and implement computer vision algorithms and models for image and video analysis, object detection, recognition, and tracking. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for computer vision solutions. Conduct research and stay updated with the latest advancements in computer vision and deep learning to identify opportunities for innovation. Work with large datasets and use data preprocessing techniques to ensure high-quality training and testing of computer vision models. Optimize and fine-tune computer vision models for efficiency, accuracy, and real-time performance. Perform code reviews and maintain best practices for software development in computer vision. Collaborate with hardware and software teams to integrate computer vision solutions into products and services. Participate in the design and development of data annotation pipelines to support computer vision tasks. Conduct experiments and analyze results to evaluate the effectiveness of computer vision algorithms and models. Assist in the deployment and testing of computer vision models in real-world scenarios. Troubleshoot and debug issues related to computer vision algorithms and implementations. Participate in brainstorming sessions and contribute to the ideation and innovation process. Work in a collaborative and fast-paced startup environment, contributing to the growth and success of the company. Requirements: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Solid understanding of computer vision fundamentals and deep learning techniques. Proficiency in programming languages such as Python, C++, or Java. Experience with popular computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch,Keras). Demonstrated experience in implementing computer vision models for various applications such as Facial detection, automatic number plate recognition, NLP. Familiarity with data preprocessing, data augmentation and data annotation processes for computer vision tasks. Hands on experience in identifying outlier detection and testing it with different methods Hands on experience in identifying data imbalance, data compatibility, data privacy, data normalization, Data encoding issues Hands on experience in Data reduction techniques, feature selection, wrapper methods, feature stabilization, labeling accuracy Hands on experience in Model Selection, model evaluation, Model Training, Model validation and testing different methods and scenarios Hands on experience in deploying ML/DL projects using Conda, docker, Kuberntesses Ability to test AI/ML models in different field conditions Ability to collect data from field, synthetic data etc basis project requirement Ability to test AI/ML model with performance optimization and Latency test scenario Ability handle different error handling scenarios on production enviournment such as out of memory, resource exhaustion, network failure, data integrity testing Excellent communication and collaboration skills to work effectively with cross-functional teams. Prior experience in a startup environment or personal projects in computer vision is a plus

Roles and Responsibilities: Required to Identify, develop and implement the appropriate statistical techniques, algorithms, and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain, and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Ability to build, train, and lead a team of data scientists. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Experience applying statistical ideas and methods to data sets to answer business problems. Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategies. Working on ML Model Containerisation. Testing and Monitoring ML Models. Creating ML Model Inference Pipeline. Strong Python programming Knowledge- Data Science and Advanced Concepts like Abstract Class, Function Overloading + Overriding, Inheritance, Modular Programming and Reusability Cloud Experience in using Azure services, REST API using Flask or fastapi frameworks Good to have - Pyspark: Spark Dataframe Operations, SQL functions API, Parallel Execution Good to have - Unit testing using Python pytest or Unittest Requirements: 2 plus years of experience in a related position, as a data scientist building Predictive Analytics, Computer Vision, and NLP solutions for various types of business problems. Bachelor/Master/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. Advanced knowledge of statistical techniques, machine learning algorithms, and deep learning frameworks like Tensorflow, Keras, PyTorch Programming background and expertise in building models using at least one of the following languages: Python, R Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate with onshore and offshore teams. Be a problem solver and be proactive to solve the challenges that come his way.

Responsibilities Ability to build and lead a team of data scientists. You would be required to identify, develop, and implement the appropriate statistical modeling and ML/Deep learning models to create new, scalable solutions that address business challenges across industry domains. Create business stories and presentations through Data Inferential Analysis Define, develop, maintain, and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Required Implementation Experience (any 3 or above): Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Good to have exposure in Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, and text classification. Experienced in agile methodology for delivering on project milestones. Need to have command on verbal, presentation, and written communication skills. Preferred Qualifications: Bachelors/Masters/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics, or related technical degree. 8+ years total experience with a minimum of 3 years of experience in a related position as a data scientist or ML engineer building predictive analytics and machine learning solutions for various types of business problems. Advanced knowledge of Statistical Modeling, Machine Learning Algorithms, and Python Programming Strong individual planning and project management skills, able to work on more than one responsibilities through right prioritization Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Key traits: Be a problem solver and be proactive to solve the challenges that come his way. Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment.

Hi, Looking For Oracle Cloud HCM Freelance & Trainers (Part / Full Time) who are looking for Opportunity@ Providing Real time Training and as well as Test Creation Interested people please send profile

We are seeking an experienced AI/ML expert to develop a cutting-edge, custom analytical engine that will integrate as an add-on to our existing platform. This engine will enable advanced data analysis, predictive modelling, and other AI-driven functionalities that enhance the user experience and drive decision-making. The ideal candidate will have proven experience in machine learning, data science, and AI, and a deep understanding of developing robust, scalable systems that integrate seamlessly with our existing platforms. Role & responsibilities Design & Develop AI/ML Model: Build a comprehensive engine capable of performing advanced data analysis, predictive analytics, and real-time insights. This will include developing machine learning models, algorithms, and data processing pipelines. Data Analysis & Modelling: You will be required to conduct thorough analysis of available datasets, create training datasets, and implement appropriate ML algorithms to address specific business requirements (e.g., classification, regression, clustering, anomaly detection, etc.). This will more so apply to our specific domain of analysing Pumping stations and Pump-sets. Optimization & Performance Tuning: Optimize the performance and efficiency of the developed AI/ML models, ensuring they can handle large volumes of data and deliver real-time analytics. Testing & Validation: You will need to perform rigorous testing and validation of models and algorithms to ensure accuracy, robustness, and reliability. Documentation & Knowledge Sharing: This will be most important aspect of your engagement. You will be required to provide detailed documentation of the solution, including design decisions, architecture, and usage guidelines. In addition, you may Share insights and strategies for maintaining and evolving the system Preferred candidate profile Proven expertise in Machine Learning , Deep Learning , and AI techniques. Strong proficiency in Python , R , or other relevant programming languages commonly used in AI/ML development. Solid understanding of various AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, etc.). Experience working with big data tools and technologies (e.g., Spark, Hadoop) is a plus. Expertise in data pre-processing , feature engineering , and model training techniques. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) for deploying AI models at scale. Ability to translate complex AI/ML concepts into actionable business solutions. Strong problem-solving skills, attention to detail, and the ability to work independently.

We are looking for a skilled AI Engineer with 3+ years of experience to join our team. You will be responsible for designing, developing, and deploying AI/ML models to solve real-world problems. This role requires a strong background in machine learning, deep learning, and software development, along with experience in implementing AI solutions at scale. Requirements Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies Qualifications Experience in AI/ML technologies and software engineering, Minimum 1+ years of hands-on experience with Python & shell scripting 1+ years of experience building and maintaining scalable API solution Experience with AWS, GCP or Microsoft Azure Experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.utline the day-to-day responsibilities for this role.

Role & responsibilities 1. Data Management & Pre-processing - Collect, clean, and pre-process large datasets from diverse sources, ensuring high data quality. - Analyse unstructured and structured data to derive actionable insights. 2. Predictive Modelling & Machine Learning - Develop and implement predictive models tailored to business objectives. - Integrate machine-learning techniques with LLMs to enhance model performance. 3. Specialization in Large Language Models (LLMs) - Fine-tune and customize LLMs (e.g., GPT, Google Gemini) for specific business needs. - Develop prompt engineering strategies to improve model responses and outcomes. - Collaborate with engineering teams to integrate LLMs into existing systems and workflows. - Explore opportunities to enhance hospitality-specific use cases through advanced natural language processing (NLP) techniques. 4. Data Analysis & Insights - Perform deep analysis to uncover trends, patterns, and key insights. - Create forecasting tools to predict customer behaviour, operational metrics, and future trends. 5. Collaboration & Communication - Work closely with cross-functional teams to understand business challenges and provide AI-driven solutions. - Communicate findings through clear, impactful reports, dashboards, and presentations. 6. Innovation & Continuous Learning - Stay updated with the latest advancements in LLMs, AI, and machine learning. - Pilot and recommend new tools, algorithms, and frameworks to improve data science initiatives Preferred candidate profile Expertise in Large Language Models: - Hands-on experience with GPT-4, ChatGPT, Google Gemini, and similar LLMs. - Strong understanding of LLM fine-tuning, deployment, and performance optimization. Prompt Engineering: - Proficiency in crafting effective prompts to enhance model outputs. Programming & Tools: - Strong coding skills in Python, R, or similar languages. - Familiarity with frameworks such as Tensor Flow, PyTorch, Hugging Face, or OpenAI API. Data Management: - Experience in handling large datasets and working with tools like SQL, Pandas, and Spark. Machine Learning & NLP: - Proficiency in supervised and unsupervised learning techniques. - Advanced knowledge of natural language processing and generation.

Responsibilities: * Develop machine learning models using Python and deep learning techniques. * Optimize model performance through data analysis and experimentation. * Collaborate with cross-functional teams on NLP projects.

•0 to1 Year of hands-on experience working with machine learning models and data science. •Strong understanding of supervised and unsupervised learning and foundational statistics. •Anomaly Detection & Time-series Forecasting.

Job responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required qualifications, capabilities, and skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners.

Job Summary: In this role you will be helping to grow the Rackspace Cloud data practice. You will be the expert in the region and support the sales of our data projects on AWS Cloud. Our Presales Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with our sales team to propose solutions to customers to achieve business outcomes using AWS Cloud. This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders, Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams. Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition across Professional Services and Managed Services; aligning it to each unique set of customer challenges and articulating the business benefits that can be delivered. A key aspect of the role is to engage with customers early in their transformation journey toestablish Rackspace credentials as a partner that can help assess, plan and execute the required data transformation or modernization. Work Location: Remote Key Responsibilities: Solutions and positions solutions for customers. This is client facing, pre-sales technologist that works with designated accounts and acts as a technical advocate for Rackspace clients. You are responsible for understanding clients business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services. Is considered a thought leader and develops IP & collateral for data and analytics. Sells and positions implementation and advisory services primarily in their assigned LOB, but also understands and advises clients on where other strategic and advisory services fit their needs. Client Facing Sales Support Works with sales account team, interfacing directly with the Rackspace prospects and customers. Builds trusted advisor relationships, understanding clients business challenges and proposing solutions. Develops High Level Designs and Architectures Creates and documents architectures that address client business problems which can be used to ensure a smooth transition from presales to delivery. Create Proposals Develop proposals, SOWs (Statements Of Work), business cases and RFP responses.; Sales Planning Work with management and sales teams to develop account prioritization and support strategies that will ensure a long-term trusted relationship status. Partner Relationship Management Develop healthy and trusted relationships with key partners in the geography. Intellectual Property Development Contribute to the development of Rackspace intellectual property and industry recognition (white papers, speaking engagements. Administrative Overhead Respond to email, phone calls, complete timesheets in a timely manner, expense reports and status reports as required Administrative Overhead. Training Develop and execute a professional plan that will enhance skills. Contribute to sales process improvement, including developing knowledge bases, creating sales tools, and mentoring other Solutions Architects Qualifications: Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations. You have strong problem solving, analytic, decision-making capabilities and excellent communication with interpersonal skills. You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes. You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop. Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU. You bring strong engineering mindset and exposure to software engineering principles, Agile methodologies. 5+ years of experience as a data scientist and have applied industry experience in NLP/NLU, Forecasting and Anomaly detection solution development. Travel As per business requirements Sponsorship This role is not sponsorship eligible Candidates need to be legally allowed to work in the US for any employer

About the Role We are seeking a talented individuals who has recently completed their PhD or Masters to join our cutting-edge team. In this role, you'll tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling. You'll be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning. Key Responsibilities Lead research initiatives to improve OCR accuracy across diverse document types and languages Train and fine-tune LLMs using domain-specific data to enhance performance in specialized contexts Develop techniques to scale LLMs efficiently for high-volume production environments Design and implement novel approaches to model optimization and evaluation Collaborate with cross-functional teams to integrate AI solutions into production systems Stay current with the latest research and incorporate state-of-the-art techniques Document methodologies, experiments, and findings for both technical and non-technical audiences Required Qualifications PhD in Computer Science, Machine Learning, AI, or a related field (completed within the last year) Strong understanding of deep learning architectures, particularly transformer-based models Experience with OCR systems and techniques for improving text recognition accuracy Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX) Demonstrated ability to implement and adapt research papers into working code Excellent problem-solving skills with a methodical approach to experimentation Strong communication skills to explain complex technical concepts clearly Preferred Qualifications Research focus during PhD in areas relevant to our work (NLP, computer vision, multimodal learning) Familiarity with distributed training systems for large-scale models Experience with model quantization, pruning, and other efficiency techniques Understanding of evaluation methodologies for assessing model performance Knowledge of MLOps practices and tools for model deployment Publications at top-tier ML conferences (NeurIPS, ICML, ACL, CVPR, etc.)

Summary of the Role: As a Research Engineer, AI at TR, you will be responsible for building AI systems. We are looking for people with solid engineering skills, system engineering and a focus on outcome-driven work ethics. About You: You are a great fit for this role, if you Have strong programming skills in Python Have experience building Agentic Systems Are excited by research and development in the space of Agentic SystemsHave prior experience building for Content Have experience building high-performance implementation of AI/ML based solutions About the Role Explores emerging technology and how it can be applied to solve complex, non-trivial problems we are looking for 6 to 8 years of experience. Responsible for whole components or subsystems including the design and development May direct the efforts of others during design and implementation Implement algorithms and develop systems for information retrieval, machine learning, information extraction, text categorization, text mining, or related areas in the context of large online delivery environments. Create processing pipelines Extract and transforming data Design and Implement end to end AI based solutions, following standard industry practices for software development lifecycle Work with research scientists to Implement methodologies to evaluate model performance Work with other software teams to help Design required integration with other IT systems for the end-to-end ML solutions Integrating and testing research code Building control logic and workflows that realize the end to end AI-based solution Testing and packaging solutions for delivery.

Roles & Responsibilities: Develop world-class content in Data Science, Machine Learning, Deep Learning, Data Engineering and other similar domains. Understand the subject and deliver courses to help learners meet high standards through physical delivery. Work closely with Centre Manager Partner to get the positive outcome for the learners Skills Required Graduates/Post-Graduates with: Teaching/Training experience of 2+ years in Data science & machine learning roles Strong in Python Programming Machine Learning Concepts Linear Regression, Logistic Regression, Decision Trees, Random Forests, Bagging and Boosting, Linear and Nonlinear models, Recommendation systems, etc. NLP, NN Knowledge of SQL, Excel Advanced programming skills using Python and Tensorflow/Keras in the context of teaching and building ML/DL Models Knowhow in the development of ML models at scale and understanding of its application across sectors Smart, curious people who enjoy learning and upskilling in the latest fields of technology Ability to quickly learn various concepts, techniques & tools Comfort level in speaking in front of a camera.

We seek experienced AI/ML Engineers with expertise in developing AI/ML solutions to join our engineering team. We are looking for a candidate who is passionate about artificial intelligence, machine learning, and computational statistics. This role involves designing and implementing algorithms and models. Responsibilities: Machine Learning Model Development: Write clean, efficient, and maintainable code in Python. Develop, and deploy machine learning models that address real-world business challenges. This includes data pre-processing, feature engineering, model selection, and hyperparameter tuning. Collaborate with senior data scientists and developers to integrate machine learning algorithms into applications, train and test ML models, and manage the required datasets. Data Pipelines: Create and maintain data pipelines for efficient data processing and model training. Write database queries using SQL to retrieve required data. Model Evaluation: Assist in debugging, testing, and improving applications. Rigorous testing and validation procedures to assess model performance Qualifications: Minimum of 12+ years of experience in AI/ML developing advanced solutions. Bachelors degree in engineering or a related field. Master's degree is a plus. Proficiency in programming languages like Python, R, C++, or similar, Proficiency in using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of statistical analysis and data preprocessing techniques. Solid knowledge of deep learning, natural language processing, and computer vision. Experience in manufacturing and supply chain a plus. Excellent analytical and problem-solving skills with the ability to interpret complex cost data and identify cost drivers. Good communication and interpersonal skills, with the ability to present cost analysis findings and recommendations to stakeholders. Strong attention to detail, organization, and time management skills

About the Role We are developing a next-gen Applicant Tracking System (ATS) with an intelligent Resume Parser powered by AI/ML. We seek motivated interns passionate about NLP, Deep Learning, and Predictive Modeling to join our core development team. Internship AI/ML (ATS & Resume Parser Development) Location : Pune (Onsite/Hybrid) Stipend : 15,000/month Experience : 0.6 years to 2 years Duration : 3–6 Months Opportunity : High-performing interns will be absorbed into the organisation. Responsibilities Design & implement ML/DL models for resume parsing and candidate-job matching. Build pipelines for data extraction, cleaning, and structuring candidate information . Experiment with NLP libraries (spaCy, NER, BERT/LLMs). Assist in integrating AI models into the ATS platform. Requirements Pursuing/completed a bachelor’s/master’s in CS/AI/ML/Data Science. Proficiency in Python and ML/DL frameworks (TensorFlow/PyTorch). Familiarity with NLP, text mining, and semantic search . Exposure to APIs, databases, and Flask/FastAPI preferred. Must showcase at least one project successfully delivered during academics or otherwise. What You’ll Gain Hands-on AI/ML experience OR knowledge in HR Tech. End-to-end exposure from research to deployment. PPO opportunity for strong performers.

Job Description: Company Name: Mirketa Software Job Title: Software Engineer - Artificial intelligence (AI) Location: Noida- Hybrid(WFO) About the Role: We r seeking an experienced and innovative AI Engineer to join our development team in building advanced AI capabilities for our Salesforce-based cloud product. This product caters to small and medium-sized clinical practices in the US. The ideal candidate will have expertise in both Predictive Machine Learning (ML) and Generative AI, with a strong focus on healthcare and Salesforce integrations. Key Responsibilities: Design and implement AI-based features to enhance product capabilities, including both predictive analytics (ML) and generative functionalities. Develop and optimize AI models for key healthcare use cases, such as clinical decision support, patient engagement, and operational efficiency. Integrate AI features with Salesforce, ensuring seamless functionality within the existing platform. Collaborate with cross-functional teams to understand business requirements, define AI-driven solutions, and deliver high-quality implementations. Ensure compliance with healthcare regulations (e.g., HIPAA) and best practices for data privacy and security. Evaluate and recommend AI tools, frameworks, and technologies to support the product's vision. Stay updated with advancements in AI/ML, particularly in healthcare, and apply relevant innovations to the product. Required Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3+ years of experience in AI/ML development, including hands-on experience with generative AI models. Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. Experience with Salesforce development and APIs. Knowledge of cloud-based AI solutions (e.g., AWS, Google Cloud, Azure). Excellent problem-solving skills and ability to work in an agile environment. Preferred Qualifications: Familiarity of healthcare domain preferred. Experience with natural language processing (NLP) and voice assistant technologies. Previous experience in integrating AI into Salesforce Cloud. Soft Skills: Strong communication and collaboration abilities. Analytical mindset with a focus on delivering business value through AI solutions. Self-motivated and eager to learn emerging technologies. Why Join Us? Opportunity to work on a cutting-edge AI projects with real-world impact. Collaborative and supportive team environment.

Wipro Limited is a leading technology services and consulting company that focuses on creating innovative solutions to address clients" most complex digital transformation needs. With a holistic portfolio encompassing consulting, design, engineering, and operations, the company helps clients achieve their boldest ambitions and develop sustainable businesses. Wipro has a global presence with over 230,000 employees and business partners across 65 countries, dedicated to helping customers, colleagues, and communities thrive in a dynamic world. We are seeking candidates with advanced expertise in time-series forecasting, predictive modeling, and deep learning, coupled with hands-on experience in scalable MLOps frameworks. The ideal candidate should possess a master's degree in mathematics, statistics, or data science, with a preference for those holding a Ph.D. Proficiency in Azure Machine Learning, Databricks, PySpark, and optimizing operational machine learning models" performance is crucial. Successful candidates will demonstrate the ability to optimize models, automate workflows, and drive innovation while delivering efficient, scalable solutions for forecasting projects. **Key Responsibilities:** - Develop and implement reusable and scalable machine learning systems for time-series forecasting. - Analyze, retrain, and fine-tune machine learning models based on evolving data trends and business requirements to ensure long-term efficiency and reliability. - Automate machine learning workflows, including deployment, monitoring, and retraining, using Azure Machine Learning as an MLOps technology. - Utilize PySpark for efficient data processing and analytics in large-scale environments. - Collaborate on data engineering tasks in Azure Databricks and implement scalable storage solutions using Azure Data Lake. **Mandatory Skills:** - Master's degree in mathematics, statistics, data science, or related fields. - Ph.D. in mathematics, statistics, data science, or similar areas is preferred but not mandatory. - Extensive experience in time-series forecasting, predictive modeling, and deep learning. - Proficiency in designing reusable and scalable machine learning systems. - Strong command of machine learning libraries and data manipulation tools. - Proven expertise in analyzing and optimizing performance of operational machine learning models. - Advanced experience in MLOps frameworks and PySpark for data processing. - Azure Machine Learning, Azure Databricks, and Azure Data Lake proficiency. **Benefits:** - New Hires Buddy-Program - Regular All-hands Meetings - Referral Program - Comprehensive Learning Offerings - Company pension plan - Highly international, high-performance culture - Diversity is in our DNA - Women network Join Wipro, a company that is reinventing itself and aiming for bold digital transformations. Be part of an organization that encourages constant evolution and empowers individuals to design their reinvention. At Wipro, you can realize your ambitions in an environment that thrives on purpose and innovation. Applications from individuals with disabilities are highly encouraged.,

As an AI & Deep Learning Scientist at Pixxel, you will play a crucial role in developing innovative machine learning and deep learning models to harness the full potential of hyperspectral data. Your focus will be on driving impactful, data-driven projects that aim to solve complex challenges using cutting-edge technology and methodologies. Working as part of the analytics team, you will have the opportunity to: - Utilize state-of-the-art AI techniques to tackle intricate problems in imaging analytics, data fusion, and large-scale data processing. - Create multimodal AI models that combine hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, providing valuable insights for clients across various industries. - Collaborate closely with cross-functional teams to translate business and scientific objectives into scalable, efficient, and impactful AI-powered solutions. Your responsibilities will include: - Designing and implementing advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using hyperspectral data and multimodal datasets. - Integrating diverse data sources to enhance feature extraction, accuracy, and scalability. - Developing computationally efficient algorithms for large-scale, high-dimensional datasets and deploying them in production environments. - Researching and implementing state-of-the-art techniques to drive AI innovation. To excel in this role, you should possess: - Proficiency in advanced machine learning and deep learning architectures. - Strong programming skills in Python and experience with frameworks like PyTorch, TensorFlow, or PyTorch Lightning. - A solid understanding of multimodal data fusion, computer vision, and large-scale data processing. - Excellent communication skills to convey complex AI concepts and findings to both technical and non-technical stakeholders. - Proven experience in implementing cutting-edge research techniques and staying abreast of AI advancements. At Pixxel, you will enjoy benefits such as comprehensive insurance coverage, access to mental health professionals, flexible working hours, and the opportunity to collaborate with top professionals in space technology. Join us in our mission to build a health monitor for the planet through innovative hyperspectral small satellites and contribute to global phenomena detection, monitoring, and prediction across various industries. For more information about Pixxel and our work, visit https://www.pixxel.space.,

NTT DATA is looking for an AI Data Engineer to join their team in Bangalore, Karnataka, India. As a Data Science & AIML, GenAI Lead/Engineer, your responsibilities will include developing and implementing traditional machine learning algorithms, deploying models in production environments, and writing Python code for data science and machine learning projects. The ideal candidate should have knowledge of Deep Learning (DL) techniques, experience with Generative AI (GenAI) and Large Language Models (LLM), and exposure to Langchain. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in over 50 countries and a strong partner ecosystem. They offer services in business and technology consulting, data and artificial intelligence, industry solutions, as well as application development, infrastructure management, and connectivity solutions. NTT DATA is a leading provider of digital and AI infrastructure globally and is part of the NTT Group, investing over $3.6 billion annually in R&D to drive organizations and society confidently into the digital future. If you are an exceptional, innovative, and passionate individual who wants to be part of an inclusive and forward-thinking organization, apply now to join NTT DATA's team as an AI Data Engineer. #GenAINTT,

Qualcomm India Private Limited is looking for a Cloud Machine Learning LLM Serving Staff Engineer to join their Cloud Computing team. As a part of this team, you will be involved in developing hardware and software solutions for Machine Learning applications across various markets including data center, edge, infrastructure, and automotive. We are seeking talented and innovative engineers with experience in machine learning framework development to contribute to the full product life cycle, from early design to commercial deployment. This role requires active cross-functional interaction on a daily basis, emphasizing the importance of effective communication, planning, and execution skills. Key Responsibilities: - Analyze software requirements, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. - Identify system-level issues, collaborate with software development, integration, and test teams. - Lead high-performing teams in system design and deliverables. - Demonstrate a proven track record of leading teams in Machine Learning software engineering. - Possess a strong foundation in Mathematical modeling, linear algebra, and state-of-the-art algorithms in the ML/AI space. - Enhance and optimize key Deep Learning models on Qualcomm AI 100. - Develop deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories. - Collaborate internally to analyze and optimize training and inference for deep learning. - Build software tools and ecosystem around AI SW Stack. - Work on various tools like vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator. - Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems. - Optimize the entire deep learning pipeline including graph compiler integration. - Apply knowledge of software engineering best practices. Desirable Skills and Aptitudes: - Deep Learning experience in LLMs, Natural Language Processing, Vision, Audio, Recommendation systems. - Proficiency in Pytorch, TensorFlow software stacks. - Strong programming skills in C/C++/Python, including debugging, performance analysis, and test design. - Ability to work independently, define requirements and scope, and lead development efforts. - Familiarity with open-source development practices. - Strong problem-solving skills and a research-oriented mindset. - Knowledge of tiling and scheduling a Machine learning operator is a plus. - Experience in using advanced C++ 14 features, profiling software, and optimization techniques. - Hands-on experience in writing high-performance code with SIMD and/or multi-threaded capabilities. - Exposure to ML compiler, Auto-code generation (using MLIR), and running workloads on large-scale heterogeneous clusters. - Familiarity with CUDA, CUDNN is a plus. Qualifications: - Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field. - 8+ years of Software Engineering or related work experience. - Programming Language proficiency in C++, Python. Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 4+ years of Software Engineering or related work experience. - OR Master's degree with 3+ years of Software Engineering experience. - OR PhD with 2+ years of Software Engineering experience. - 2+ years of work experience with Programming Language proficiency in C, C++, Java, Python, etc. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities during the application/hiring process. If you require accommodations, please contact Qualcomm for support.,

About Netradyne: Netradyne, founded in 2015, is a technology company that specializes in leveraging expertise in Artificial Intelligence, Deep Learning, and Edge Computing to provide innovative solutions to the transportation industry. The company's technology is currently implemented in a multitude of vehicles, ranging from passenger cars to semi-trailers, operating on various types of roads including interstates, suburban roads, rural highways, and even off-road terrains. Netradyne is seeking talented engineers to join the Analytics team, which consists of graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, and UCSD. The team is dedicated to developing cutting-edge AI solutions that enable drivers and fleets to identify unsafe driving scenarios in real-time, thereby preventing accidents and reducing fatalities and injuries. Job Title: Staff Data Engineer - ML Experience: 5-8 years Role and Responsibilities: As a Staff Data Engineer specializing in Machine Learning, you will work closely with a team of machine learning engineers and data scientists. Your primary responsibilities will include: - Designing, developing, and deploying scalable solutions that incorporate GenAI, Traditional ML models, Data science, and ETL pipelines. - Collaborating with cross-functional teams to integrate AI-driven solutions into business operations. - Building and improving automation frameworks, data processing mechanisms, and model deployment procedures. - Leveraging Gen-AI tools and workflows to enhance the efficiency and effectiveness of AI solutions. - Conducting research to stay abreast of the latest developments in generative AI and related technologies. - Delivering essential product features within cloud analytics. Requirements: - B. Tech, M. Tech, or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field. - Proficient programming skills in Python and SQL, with a solid foundation in computer science principles, algorithms, data structures, and object-oriented programming. - Experience in developing end-to-end solutions on AWS cloud infrastructure. - Sound understanding of internal workings and schema design for various data storage systems (RDBMS, Vector databases, and NoSQL). - Familiarity with Gen-AI tools, workflows, and large language models (LLMs). - Experience with cloud platforms and deploying models at scale. - Strong analytical and problem-solving abilities with acute attention to detail. - Thorough knowledge of statistics, probability, and estimation theory. Desired Skills: - Familiarity with frameworks such as PyTorch, TensorFlow, and Hugging Face. - Experience with data visualization tools like Tableau, Graphana, and Plotly-Dash. - Exposure to AWS services such as Kinesis, SQS, EKS, ASG, Lambda, etc. - Expertise in at least one popular Python web-framework (e.g., FastAPI, Django, or Flask). - Experience in rapid prototyping using Streamlit, Gradio, Dash, etc. - Exposure to Big Data processing technologies (e.g., Snowflake, Redshift, HDFS, EMR).,

We are looking for an experienced Data Scientist with a strong hold on Machine Learning and Deep Learning model building, deployment and problem-solving skills. You should have excellent skills in Deep learning-based algorithms with image and text data and ML algorithms with structured datasets. A strong hold on computer vision libraries like OpenCV and Pillow and NLP libraries like Huggingface and Spacy is required. You should be able to conceptualize and implement different deep neural network architectures in Python using Pytorch and Tensorflow. A strong mathematical statistical understanding behind the algorithms is necessary. Your responsibilities will include ideating, conceptualizing, and formulating Data Science use cases of significant impact for the business. You will develop and evaluate various Machine Learning models before zeroing in on the best one and have the ability to run Machine Learning models on a huge amount of data. Driving discussions with Business to ensure complete understanding with respect to the data science use case and gaining and demonstrating Data and Domain knowledge are crucial aspects of the role. You will evaluate the Data Quality and Metadata information of Key Data Elements before any modeling effort to ensure minimal surprises in the later part of the project. Designing holistic data science solutions covering Descriptive, Predictive & Prescriptive analytics, and building reusable ML code for faster turnaround time to business problem-solving are key responsibilities. You should be able to explain the Machine Learning model implementation to business stakeholders in a way that they can understand and appreciate the solution. Building storytelling dashboards to make all insights and model output available to end users in a form that is highly helpful for decision-making is essential. Managing relationships with business stakeholders and acting as an embedded data scientist, constantly thinking about data science solutions to make business better, is also part of the role. Key Skills Required: - Python, Pytorch, Tensorflow, OpenCV, Scikit Learn, Pandas, and Numpy - Flask, Django, AWS - Deep Learning including CNNs, Transformers, and RNNs - Statistical Modelling About Company: Soulpage IT Solutions Pvt. Ltd. SOULPAGE is a Data Science Technology company based in Hyderabad, India. A simple organization with a strong commitment to customer service. We are committed to helping enterprises explore unventured technical avenues to tap unprecedented value creation. Our effort is to provide innovative software solutions using the latest technological advancements in the areas of automation, Data Science, AI, and application development for our clients to stay relevant and adapt to changing times.,

You will be responsible for designing, developing, and deploying machine learning models for real-world applications. Your main tasks will involve building and maintaining scalable ML pipelines using tools like Airflow, MLflow, or Kubeflow. Additionally, you will collaborate with data scientists, data engineers, and product teams to understand business needs and translate them into ML solutions. Data preprocessing, feature engineering, and model evaluation will be part of your routine to optimize model performance and ensure robustness, fairness, and explainability. Monitoring and maintaining models in production, including retraining and performance tracking, will also be essential. You will contribute to the development of internal ML tools and frameworks while staying up to date with the latest research and best practices in machine learning and MLOps. To excel in this role, you should have strong working experience in Python and hands-on experience in machine learning platforms, frameworks, and libraries. A deep understanding of Deep Learning concepts is crucial to conduct experiments and analyze results for optimizing model performance and accuracy. You must also possess a solid understanding of software engineering concepts to build robust and scalable AI systems. Additionally, you will be involved in conceiving, designing, and developing NLP concepts such as text representation, semantic extraction techniques, and modeling. Knowledge in building web apps/UI/Reporting using Python packages like PlotlyDash, Streamlit, and Panel with User-Centric design is considered advantageous. Familiarity with cloud-based AI/ML services is also desirable. In return, you will receive a competitive salary and performance-based bonuses, comprehensive insurance plans, and the opportunity to work in a collaborative and supportive environment. You will have the chance to learn and grow with a talented team while enjoying a positive and fun work environment.,