55 Model Training Jobs - Page 2

About the role You will be part of a team that is dedicated to developing AI-powered solutions for the media industry, ranging from intelligent workflow automation to smart content analysis and creative assistance. Your primary responsibility will be to work with cutting-edge AI models, conduct research, train, adapt, and integrate them into tools that address real challenges within the media sector. Your tasks will involve working across various AI domains, constructing systems that aid our teams in generating, organizing, processing, and delivering media content more efficiently and effectively. What you'll do - Research and assess state-of-the-art AI/ML models suitable for diverse media workflows. - Train, fine-tune, and adjust models to fulfill accuracy, speed, and scalability requirements. - Incorporate APIs and custom-trained models into end-to-end automated pipelines. - Create orchestration flows, for instance, using n8n, to manage multi-step processes from input to output. - Develop dashboards and interfaces to oversee, control, and optimize AI-driven tasks. - Implement authentication, job tracking, logging, and error-handling systems. - Collaborate closely with media operations and product teams to pinpoint automation opportunities. What you bring We are seeking an individual with the following qualifications: - Proficient in Python with a proven track record of developing maintainable, production-ready code. - Experience working with AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies. - Skilled in model training, fine-tuning, and evaluation. - Familiarity with AI APIs like OpenAI, Anthropic, Hugging Face, etc. - Hands-on experience with workflow automation tools such as n8n, Airflow, or similar platforms. - Knowledge of Docker, asynchronous programming, cloud services, and API security. Why join us This is an opportunity to: - Influence the development of AI tools for the future of media technology. - Be part of a small, dynamic team where your work has a fast turnaround time. - Make a direct impact on creative, operational, and technical workflows. - Have the freedom to explore and experiment with state-of-the-art AI solutions.,

You will be joining Zoca, a company dedicated to revolutionizing the growth process for local businesses. Zoca's AI agents are designed to assist talented beauty professionals in expanding their reach by managing all their marketing needs automatically. With a focus on hyperlocal search optimization, 24/7 lead conversion, and retention campaigns, Zoca has already made a significant impact, having raised $6M in funding led by Accel, helped over 1,000 businesses achieve full booking capacity, and generated more than $10M in revenue for local entrepreneurs. As an AI Product Manager at Zoca, you will have a unique and multifaceted role in the development, optimization, and scaling of one of the core AI agents. Your primary objective will be to elevate the current state of the agent to a world-class, autonomous system that guarantees positive outcomes for local businesses. This position goes beyond the traditional product management role, requiring you to blend elements of product management, AI research, customer advocacy, and execution prowess to enhance the intelligence, reliability, and impact of the AI agents. You will take ownership of either the Lead Generation Agent, Retention/Loyalty Agent, or Local SEO Agent based on your experience and interest. Your responsibilities will include driving the end-to-end development of your assigned AI agent, collaborating with stakeholders to implement customer-centric improvements, optimizing agent performance with the help of ML engineers and data science, working cross-functionally to ship agent enhancements, and strategizing the evolution of your agent over the coming months. Additionally, you will be accountable for tracking and reporting on the impact of your agent through various performance metrics, business outcomes, and customer satisfaction levels. To excel in this role, you should possess 2-4 years of experience in product management, AI/ML product development, or technical program management. Direct experience in building or optimizing AI-powered products is essential, along with a solid understanding of machine learning workflows, model training, and performance optimization. Your ability to collaborate effectively with engineering teams, ship products that address real customer needs, and communicate technical concepts to non-technical stakeholders will be crucial for success. Furthermore, familiarity with LLMs, prompt engineering, conversational AI systems, AI agent frameworks, and automation workflows will be beneficial. Your comfort level with working on APIs, data pipelines, and technical integrations, along with your proficiency in metrics analysis, cross-functional collaboration, and product management, will be integral to driving the growth and impact of the AI agents at Zoca.,

As an Analytics and Modeling Analyst at Accenture, you will be part of our growing Insights and Analytics team. You will be responsible for developing and implementing machine learning models using supervised and unsupervised techniques. Your role will involve applying appropriate machine learning algorithms for prediction tasks and data segmentation based on project requirements. Additionally, you will perform data preprocessing, feature engineering, and model evaluation to ensure the accuracy and efficiency of the models. The ideal candidate for this position should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 2 to 3 years of experience in applied machine learning and data science projects. You should have a solid understanding of model training, validation, and deployment workflows, as well as experience working with version control and collaborative development environments. Familiarity with tools that automate and manage the process of building, testing, and deploying machine learning models, as well as a basic understanding of cloud-based architecture and APIs, would be beneficial. In this role, you will collaborate with data engineers, analysts, and product teams to translate business problems into machine learning solutions. You will use Python libraries such as scikit-learn, TensorFlow, and others to build and test models, and analyze and manipulate structured datasets using notebooks like Jupyter. Your responsibilities will also include documenting model performance, data flows, and process pipelines to ensure transparency and reproducibility of the work. If you are a Machine Learning Data Scientist with a passion for building ML models using cutting-edge techniques and technologies, we invite you to join our team at Accenture and contribute to creating value and shared success for our clients, people, and communities.,

You will be responsible for applying Natural Language Processing (NLP) AI techniques, conducting machine learning, and developing high-quality prediction systems for data classification. Your main tasks will include presenting information through data visualization techniques, as well as collecting, preprocessing, and harmonizing data. As a part of your role, you will develop applications in machine learning and artificial intelligence, while selecting features, building, and optimizing classifiers using machine learning techniques. Understanding business objectives and creating models to support them, along with relevant metrics to monitor progress, will be crucial. You will need to manage available resources efficiently, such as hardware, data, and personnel, to ensure project deadlines are met. Your responsibilities will also involve analyzing various ML algorithms to identify the most suitable ones for solving a specific problem and ranking them based on success probability. Exploring and visualizing data to comprehend it better, detecting variations in data distribution that could impact model performance in real-world deployment, and verifying data quality through cleaning processes will be essential. You will supervise the data acquisition process if additional data is required, search for relevant datasets online for training purposes, define validation strategies, and determine pre-processing or feature engineering on datasets. Furthermore, you will be involved in defining data augmentation pipelines, training models, tuning hyperparameters, analyzing model errors, and developing strategies to address them. Deployment of models to production environments will also be a key aspect of your role. As a desired candidate, you should possess a strong understanding of machine learning (ML) and deep learning (DL) algorithms, as well as an architectural comprehension of CNN and RNN algorithms. Experience with NLP data models and libraries, entity extraction using NLP, and proficiency in tools like TensorFlow, scikit-learn, and spaCy is required. Additionally, familiarity with transfer learning, scripting and programming skills in Python and Streamlit, common data science toolkits such as NumPy and Fast.AI, and various machine learning techniques and algorithms like k-NN, Naive Bayes, and SVM is essential. Proficiency in query languages, applied statistics skills, data wrangling, data exploration, as well as tools like Tableau and DataPrep will be advantageous. The ideal candidate will be an immediate joiner with no restrictions on salary for the right individual.,

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

As a Computer Vision Engineer, you will play a crucial role in transforming business challenges into data-driven machine learning solutions. Your primary responsibility will be to design, develop, and implement computer vision algorithms and models for image and video analysis, object detection, recognition, and tracking. Collaborating with cross-functional teams, you will translate business requirements into technical specifications for computer vision solutions. Staying updated with the latest advancements in computer vision and deep learning, you will identify opportunities for innovation and optimization. To excel in this role, you should have at least 2 years of experience in computer vision and/or deep learning for object detection and tracking, as well as semantic or instance segmentation in academic or industrial domains. Proficiency in Python and related packages such as numpy, scikit-image, PIL, opencv, matplotlib, and seaborn is essential. Additionally, you must possess a strong foundation in data structures and algorithms in Python or C++, along with experience in training models through GPU computing using NVIDIA CUDA or on cloud platforms. Your responsibilities will also include working with large datasets, applying data preprocessing techniques, and optimizing computer vision models for efficiency, accuracy, and real-time performance. Hands-on experience with machine/deep learning frameworks like Tensorflow, Keras, and PyTorch is required, along with expertise in identifying data imbalance, data compatibility, data privacy, data normalization, and data encoding issues. You will be involved in model selection, evaluation, training, validation, and testing, exploring different methods and scenarios for effective outcomes. In this role, you will have the opportunity to work in a dynamic environment with a focus on innovation and collaboration. The position offers a 5-day working week with flexible timings. While we are not currently hiring for the Computer Vision Engineer role, please check back later for potential opportunities to join our team.,

TechBirds is a specialized advisory services provider with a global network of technology, business, and functional domain experts. We operate across Asia Pacific, Middle East, and European Union, offering strategic and reselling partnerships in digital, automation, AI, and data analytics to drive technological advancements and business growth. We are currently seeking a GenAI and GCP Specialist for a full-time on-site role based in Bengaluru. As a specialist, you will be responsible for designing, developing, and implementing advanced AI solutions using Google's AI and cloud platform technologies. Your tasks will include working on AI algorithms, data preprocessing, model training, deployment, and performance monitoring. Additionally, you will provide support for GCP services, troubleshoot issues, and optimize cloud resources for efficiency. To be successful in this role, you should be an immediate joiner with 4-5 years of overall experience. You must have proficiency in GenAI algorithms, model training, and deployment with at least 2 years of relevant experience. Expertise in Google Cloud Platform (GCP) services, including data processing and management, is also required with a minimum of 2 years of experience. Additionally, you should have very good experience with AI and ML frameworks such as TensorFlow, PyTorch, Keras, strong programming skills in Java/Python/SQL/etc., and skills in data preprocessing, analysis, and feature engineering. The ideal candidate will possess the ability to troubleshoot and resolve issues related to AI models and cloud infrastructure, along with excellent analytical and problem-solving skills. You should have a proven ability to work collaboratively within a team environment and hold a Bachelor's degree in Computer Science, Engineering, or a related field preferred. In terms of soft skills, strong written and verbal communication in English is essential. Knowledge of Arabic would be a plus but not mandatory. You should demonstrate the ability to multitask, prioritize, and manage time effectively in a dynamic environment. Being proactive, detail-oriented, and solutions-focused with a collaborative attitude will be key to your success in this role.,

As an experienced AI/ML Architect, you will play a crucial role in leading the design, development, and deployment of cutting-edge Generative AI solutions. Your deep understanding of AI/ML architectures, technical leadership skills, and expertise in cloud platforms like GCP will be instrumental in designing robust, scalable, and production-ready systems. Collaborating closely with cross-functional teams and stakeholders, you will implement state-of-the-art AI solutions that address real-world challenges and drive business value. Your responsibilities will include providing technical leadership by guiding development teams through best practices and architecture reviews. You will design end-to-end Generative AI solutions, develop data pipelines, train models, deploy solutions, and monitor them in real-time. Leveraging MLOps tools, you will automate workflows for scalable and repeatable deployments. Your role will also involve optimizing deployment pipelines using tools like Docker, Kubernetes, and cloud-native services, ensuring seamless integration into existing CI/CD pipelines. In addition, you will focus on building scalable ETL workflows, implementing data preprocessing, and feature engineering pipelines to prepare data for Generative AI applications. Identifying and implementing optimization strategies for model performance enhancement will be a key aspect of your work. You will also drive the development of Proof of Concepts (POCs) and pilot projects, collaborating with delivery and product teams to scale successful pilots to production-grade solutions. To excel in this role, you should have at least 10 years of experience in AI/ML architecture, model development, and production deployment. Your expertise in designing, implementing, and scaling Generative AI and LLM-based solutions, along with hands-on experience with frameworks like LangChain and RAG, will be invaluable. Proficiency in Python, SQL, MLOps tools, containerization, and CI/CD pipelines is essential. Your strong technical leadership, communication skills, and strategic thinking abilities will be crucial in driving the adoption of Generative AI solutions and enabling continuous improvement. Joining our team will provide you with the opportunity to work on cutting-edge AI solutions, collaborate with a technology-driven team, and drive innovation through technical leadership and mentorship. You will have access to the latest AI/ML technologies and frameworks, ensuring continuous professional growth in this dynamic field.,

Arrk Group India is a technology company with over 23 years of industry experience, specializing in developing scalable platforms to meet the needs of customers and enabling organizations to implement disruptive technologies for business transformation. The focus is on helping both public and private sector customers globally transition to digital environments. As a Senior AI Engineer at Arrk Group India, you will be responsible for AI Engineering System Architecture and Development. This includes understanding generative AI, large language models, and other foundation models for various business applications. You should possess demonstrable knowledge and practical experience in using models programmatically via APIs and have a strong understanding of AI engineering solutions architectures such as RAG. Your practical AI skills should include evaluating models for specific use cases, knowledge of databases like SQL, Postgres, and vector databases like pgvector and ChromaDB. You will explore, analyze, and visualize data at scale to identify differences in data distribution that could impact model performance. Additionally, you will need to verify data quality, clean data, establish ground truth, synthesize data, and organize data for fine-tuning. Proficiency in deploying large language models to production, training models, tuning hyperparameters, and selecting hardware for running ML models with the required latency is essential. You should also be able to analyze machine learning algorithms for problem-solving and rank them based on success probability. Knowledge of OpenCV and familiarity with deep learning frameworks like TensorFlow, PyTorch, or similar is desired, along with experience in AWS Cloud and Sagemaker. In addition to technical skills, you should be comfortable with rapid prototyping, possess strong problem-solving and analytical skills, and have familiarity with version control systems like Git. Proficiency in Python and basic ML libraries, understanding of NLP frameworks such as Spacy, and familiarity with REST APIs are necessary. Knowledge of crawling frameworks like Scrapy, Linux OS, and excellent communication skills are also required. If you meet the specified criteria and are interested in joining a dynamic team working on cutting-edge AI solutions, please share your updated CV to kajal.uklekar@arrkgroup.com. We are looking forward to connecting with talented AI professionals who can contribute to our innovative projects. Thank you, Kajal Uklekar Senior Talent Manager,

As an Assistant Vice President Generative AI Systems Architect, you will leverage your 12+ years of experience to architect and design end-to-end systems for production-grade Generative AI applications. This includes creating systems for LLM-based chatbots, copilots, and content generation tools. Your responsibilities will involve defining system architecture for data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. It is essential to establish architectural tenets such as modularity, scalability, reliability, observability, and maintainability. Collaboration plays a crucial role in this role, as you will work closely with data scientists, ML engineers, platform engineers, and product managers to ensure that the architecture aligns with both business objectives and AI goals. Your tasks will include choosing and integrating foundation models, evaluating solutions based on various architecture patterns, and designing secure and compliant architectures for enterprise settings, focusing on data governance, auditability, and access control. Additionally, you will lead system design reviews, define non-functional requirements (NFRs) like latency, availability, throughput, and cost, and collaborate with MLOps teams to establish CI/CD processes for model and system updates. Your contribution to creating reference architectures, design templates, and reusable components will be valuable in driving efficiency and consistency across projects. To excel in this role, it is important to stay updated with the latest advancements in GenAI, system design patterns, and AI platform tooling. Your role as an Assistant Vice President Generative AI Systems Architect will be dynamic and impactful, contributing significantly to the advancement and implementation of cutting-edge AI technologies.,

Job Description As a Generative AI Engineer at Endorize, you will play a crucial role in revolutionizing primary healthcare through cutting-edge AI technology and a patient-first approach. Your primary responsibility will involve developing, deploying, and optimizing AI models specifically tailored for healthcare applications. This full-time hybrid role based in Chennai offers some work-from-home flexibility, providing you with the opportunity to make a significant impact in the field of healthcare technology. Your daily tasks will revolve around coding, debugging, data preprocessing, model training, and evaluating AI performance. With your expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn, you will collaborate with cross-functional teams to seamlessly integrate AI solutions into Endorize's innovative products and services. Your strong programming skills in languages such as Python, Java, or similar, coupled with your proficiency in natural language processing (NLP) and computer vision, will be essential in driving the success of our healthcare solutions. To excel in this role, you should possess a solid foundation in data preprocessing, model training, and evaluation techniques. Your ability to work collaboratively within a team, coupled with effective communication skills, will be crucial in ensuring the successful implementation of AI technologies at Endorize. While knowledge of healthcare industry standards and practices is advantageous, a Bachelors or Masters degree in Computer Science, Engineering, or a related field is required to be considered for this position. Join us at Endorize, where we are redefining healthcare by merging technology with compassionate care. Be part of a team that is dedicated to making healthcare more accessible, engaging, and personalized for all individuals. Let's shape the future of healthcare together, where technology meets care.,

As a Machine Learning/AI Engineer, your primary role will involve designing, developing, and implementing machine learning models and AI solutions using Python. You will collaborate closely with various teams to comprehend business requirements, pinpoint opportunities for leveraging machine learning and AI technologies, and create solutions to tackle complex challenges. Working with extensive datasets, you will apply statistical analysis and machine learning techniques to extract valuable insights and construct scalable and robust algorithms. Your key responsibilities will encompass understanding business problems in collaboration with stakeholders, collecting and preprocessing large datasets from diverse sources, developing machine learning models and AI algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, or similar, engineering features from raw data to enhance model performance and interpretability, training, validating, and fine-tuning machine learning models utilizing appropriate evaluation metrics and validation techniques, deploying machine learning models into production environments with a focus on scalability, reliability, and performance, monitoring model performance in production, conducting periodic model retraining, and addressing any arising issues, documenting code, algorithms, and processes to facilitate knowledge sharing and maintainability, staying informed about the latest advancements in machine learning and AI research, and exploring innovative solutions to enhance existing systems. Ideally, you should possess over 3 years of demonstrated experience in developing and deploying machine learning models and AI solutions using Python, with a preference for familiarity with deep learning frameworks. Proficiency in Python programming and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy is expected. A strong grasp of statistical concepts, linear algebra, calculus, and probability theory is essential. Furthermore, effective problem-solving skills, excellent communication abilities to interact with cross-functional teams and stakeholders, meticulous attention to detail in data analysis and model development, and a willingness to adapt to new technologies and changing project requirements are highly valued. Exposure to NetSuite cloud ERP/Platform is considered an added advantage. This is a full-time position offering health insurance and leave encashment benefits. The work schedule involves fixed shifts from Monday to Friday. Applicants are required to have a minimum of 3 years of experience in deep learning and be located in Hyderabad, Telangana, with work being conducted in person.,

As a Senior Systems Engineer specializing in Data DevOps/MLOps, you will play a crucial role in our team by leveraging your expertise in data engineering, automation for data pipelines, and operationalizing machine learning models. This position requires a collaborative professional who can design, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment. You will be responsible for building and maintaining infrastructure for data processing and model training using cloud-native tools and services. Your role will involve automating processes for data validation, transformation, and workflow orchestration, ensuring seamless integration of ML models into production. You will work closely with data scientists, software engineers, and product teams to optimize performance and reliability of model serving and monitoring solutions. Managing data versioning, lineage tracking, and reproducibility for ML experiments will be part of your responsibilities. You will also identify opportunities to enhance scalability, streamline deployment processes, and improve infrastructure resilience. Implementing security measures to safeguard data integrity and ensure regulatory compliance will be crucial, along with diagnosing and resolving issues throughout the data and ML pipeline lifecycle. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, along with 4+ years of experience in Data DevOps, MLOps, or similar roles. Proficiency in cloud platforms like Azure, AWS, or GCP is required, as well as competency in using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible. Expertise in containerization and orchestration technologies like Docker and Kubernetes is essential, along with a background in data processing frameworks such as Apache Spark or Databricks. Skills in Python programming, including proficiency in data manipulation and ML libraries like Pandas, TensorFlow, and PyTorch, are necessary. Familiarity with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions, as well as understanding version control tools like Git and MLOps platforms such as MLflow or Kubeflow, will be valuable. Knowledge of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana), strong problem-solving skills, and the ability to contribute independently and within a team are also required. Excellent communication skills and attention to documentation are essential for success in this role. Nice-to-have qualifications include knowledge of DataOps practices and tools like Airflow or dbt, an understanding of data governance concepts and platforms like Collibra, and a background in Big Data technologies like Hadoop or Hive. Qualifications in cloud platforms or data engineering would be an added advantage.,

Are you passionate about computer vision, augmented reality, and deep learning Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We are seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches. About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is seeing is believing, and that's exactly what we're doing with Web AR. We're helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call smart shopping. As we experience significant growth, we're expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You'll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our clients" expectations. Responsibilities: - Collaborate with our engineering and production team to build and refine VTO models. - Assist in the development and training of machine learning models, particularly in computer vision applications. - Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments. - Optimize model performance for real-time user interactions. Required Skills: - Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). - Experience with computer vision libraries (e.g., OpenCV, Mediapipe). - Knowledge of 3D geometry, pose estimation, and object detection. - Familiarity with augmented reality development tools and frameworks. - Strong understanding of convolutional neural networks (CNNs) and model training techniques. - Experience working with datasets for image processing and custom landmark detection. - Attention to detail and ability to work collaboratively under deadlines. Preferred Qualifications: - JavaScript experience, particularly for integrating AR/VR solutions into web environments. - Prior experience in building virtual try-on (VTO) systems or related AR applications. - Familiarity with real-time inference optimization and model compression techniques. - Knowledge of wrist landmark detection and training custom models for body part tracking. What We Offer: - An opportunity to work in a dynamic, growth-driven environment. - Hands-on experience with innovative technology in augmented reality. - Mentorship from experienced professionals in computer vision and AR. - A platform to sharpen your skills and contribute to exciting real-world applications. THIS IS AN UNPAID INTERNSHIP THAT OFFERS AN EXCELLENT LEARNING OPPORTUNITY WITH REAL-WORLD IMPACT AND EXPOSURE TO CUTTING-EDGE TECHNOLOGY. ONLY APPLICANTS WHO CAN WORK ONSITE SHOULD APPLY.,

We are a brand new Automotive Technology Start-up dedicated to developing driver safety systems tailored for Indian conditions. Our focus is on equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. Leveraging cutting-edge technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT, we aim to create smart assistance systems that enhance safety on the road. Our current suite of products includes innovative solutions like the Front Collision Warning System (FCWS), Sleep Driver Alert System, Driver Monitoring System, and Driver Evaluation and Authentication. These products are designed to address critical safety issues and improve the overall driving experience. The Start-up is strongly supported by a $500Mn Group, a prominent automotive systems manufacturer serving global OEMs. With 29 manufacturing facilities spread across 7 states in India and a workforce exceeding 15,000 employees, the Group brings valuable expertise and resources to our venture. We are looking for a skilled AI/ML Engineer to join our early-stage start-up and contribute to the development of our rider safety product. As an AI/ML Engineer, you will be responsible for designing, developing, and integrating computer vision algorithms that play a crucial role in capturing and analyzing the surroundings to provide effective alerts for riders. In this role, you will: - Develop state-of-the-art CNN based computer vision object detectors and classifiers for real-time detection of road objects - Design and implement data ingestion, annotation, and model training pipelines to handle large volumes of video data and images - Create model visualizations, conduct hyperparameter tuning, and leverage data-driven insights to enhance model performance - Optimize models for efficient inference times and deploy them on low-power embedded IoT ARM CPUs - Establish CI/CD tests to evaluate multiple models on the test set effectively The ideal candidate should possess: - A BS or MS degree in Computer Science or Engineering from reputable educational institutions - Experience in building deep-learning object detectors for Computer Vision Applications - Proficiency in popular CNN architectures such as AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, and Resnet - Hands-on experience with libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, and OpenCL - Knowledge of Transfer Learning and training models with limited data - Strong programming skills in Modern C++14 or above, Python, along with solid understanding of data structures and algorithms - Familiarity with working on small embedded computers, hardware peripherals, Docker Containers, and Linux-flavored operating systems To excel in this role, you can stand out by having: - Prior experience in product development within an early-stage start-up environment - Expertise in deploying scalable ML models for Android/IOS platforms - Noteworthy contributions to Open Source projects or achievements in coding Hackathons - Passion for Raspberry Pi and ARM CPUs - Keen interest in the field of Autonomous Driving Join us in our mission to revolutionize driver safety through innovative technology solutions tailored for Indian roads.,

Qualification & Experience: Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies. Technical Responsibilities Excellent proficiency in Python, with a strong focus on developing advanced skills. Extensive exposure to NLP and image processing concepts. Proficient in version control systems like Git. In-depth understanding of Azure deployments. Expertise in OCR, ML model training, and transfer learning. Experience working with unstructured data formats such as PDFs, DOCX, and images. O Strong familiarity with data science best practices and the ML lifecycle. Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks. Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery. Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark. Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies. Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP. Data Analysis : Executing complex analyses against business requirements using appropriate tools and technologies. Software Development : Leading the development of reusable, version-controlled code under minimal supervision. Big Data Processing : Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks. Principal Duties & Key Responsibilities: Leading data extraction from multiple sources, including PDFs, images, databases, and APIs. Driving optical character recognition (OCR) processes to digitize data from images. Applying advanced natural language processing (NLP) techniques to understand complex data. Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance. Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services. Collaborating closely with business domain experts to identify and drive key business value drivers. Documenting model design choices, algorithm selection processes, and dependencies. Effectively collaborating in cross-functional teams within the CoE and across the organization. Proactively seeking opportunities to contribute beyond assigned tasks. Required Competencies: Exceptional communication and interpersonal skills. Proficiency in Microsoft Office 365 applications. Ability to work independently, demonstrate initiative, and provide strategic guidance. Strong networking, communication, and people skills. Outstanding organizational skills with the ability to work independently and as part of a team. Excellent technical writing skills. Effective problem-solving abilities. Flexibility and adaptability to work flexible hours as required. Key competencies / Values: Client Focus : Tailoring skills and understanding client needs to deliver exceptional results. Excellence : Striving for excellence defined by clients, delivering high-quality work. Trust : Building and retaining trust with clients, colleagues, and partners. Teamwork : Collaborating effectively to achieve collective success. Responsibility : Taking ownership of performance and safety, ensuring accountability.

Apple is a place where individual imaginations gather together, committing to the values that lead to great work. Every new product built or service created is the result of making each other's ideas stronger. This collaborative environment is fueled by the shared belief that something wonderful can be created and shared with the world, ultimately changing lives for the better. The diversity of the team members and their thinking inspires innovation that permeates through everything that is done at Apple. By bringing everybody in, the best work of their lives can be achieved. When you join Apple, you are not just joining something, you are adding something. Product Engineering International, part of the esteemed Software Engineering Organization, is seeking an accomplished ML Researcher to spearhead the development of cutting-edge generative modeling pipelines for a diverse range of popular international languages. In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions. Your responsibilities will include driving innovation in generative modeling, owning the entire generative modeling pipeline, and prioritizing working with a variety of popular international languages to ensure culturally and linguistically adaptable models. As a key pillar of Apple Intelligence, you will bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will collaborate with a dedicated team of outstanding ML and software engineers on advanced text generation technologies. The focus will be on generative technologies for key international markets to ensure top-class experiences for the popular languages in these markets. Minimum Qualifications: - 4+ years of machine learning expertise. - Strong programming skills using Python/Objective C/Swift. - Good exposure to Deep Learning libraries like PyTorch and TensorFlow. - Thorough experience with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier, etc. Preferred Qualifications: - Actively exercising machine learning techniques, including implementing basic optimizers and regularizations. - Actively programming with high-quality codes across complex and large repositories. - Experience of multi-modal modeling. - Experience in NLP modeling for Indian languages is desired. If you are a passionate ML researcher with a deep interest in natural language processing and a talent for building generative models that work seamlessly across languages, join our team and make a meaningful impact!,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

As an AI Application Engineer at SAP, you will play a pivotal role in designing and constructing AI applications by harnessing the power of machine learning and deep learning techniques. Your primary responsibility will involve collaborating with diverse teams to comprehend business objectives and translating them into precise technical requirements. You will be instrumental in developing data analysis prompts and conducting model training to ensure exceptional accuracy and performance levels. Additionally, your role will encompass the optimization of existing AI models and applications to enhance efficiency. Troubleshooting technical issues during development or deployment phases will also be part of your routine tasks. It is paramount that you stay abreast of the latest trends in AI to contribute innovative ideas to ongoing projects. Your tenure at SAP, a global leader in enterprise software, will expose you to a dynamic and innovative team environment. The organization is currently embarking on an AI-first journey, integrating artificial intelligence into every facet of product development. You will work on cutting-edge AI projects, including enhancing chatbots to efficiently handle customer inquiries across various industries. Moreover, you will have the opportunity to contribute to groundbreaking initiatives, particularly in the realm of AI agents. SAP fosters a collaborative culture that thrives on knowledge sharing, offering ample prospects for your professional growth in enterprise AI development. Join our vibrant team and play a pivotal role in shaping the future landscape of AI applications. **Duties and Responsibilities:** - Lead the complete lifecycle development of AI applications, from inception to deployment, leveraging hands-on expertise to ensure seamless functionality and optimal performance. - Collaborate with cross-functional teams to grasp business requirements and translate them into effective technical solutions. - Apply profound knowledge of prominent large language models like GPT and Llama, along with other relevant AI technologies, to drive innovation in AI application development. - Conduct thorough testing and meticulous optimization of AI applications, encompassing performance testing, accuracy validation, and resolution of identified issues to enhance overall quality and efficiency. - Oversee the data pipeline for AI model training, including data collection, cleaning, preprocessing, and ensuring data integrity to support accurate model training. - Integrate AI features into existing systems and architectures. - Stay abreast of industry trends, emerging technologies, and best practices in the field of AI. - Provide continuous support and maintenance for deployed AI applications, monitoring performance, addressing user feedback, and implementing necessary updates to ensure optimal functionality. **What you bring:** - Bachelor's degree or higher in a relevant field. - 4-6 years of hands-on experience in AI-related domains. - Demonstrated experience in AI product development. - Proficiency in writing prompts. - Experience in Agentic AI, Knowledge Graph, and other related areas. - Proficient in large language model principles. - Strong programming skills. - Excellent problem-solving abilities. - Familiarity with data processing and analysis. - Knowledge of cloud computing platforms such as AWS and Azure. - Eagerness to learn new AI technologies and a strong aptitude for learning. - Strong teamwork and communication skills. - Excellent English communication skills. Join the team at SAP and be part of a transformative journey towards leveraging AI to drive business success and innovation. As we continue to pioneer the development of AI applications, your contributions will play a pivotal role in shaping the future landscape of enterprise AI. Embrace this opportunity to grow professionally in a collaborative and forward-thinking environment, where your skills and expertise will be valued and nurtured.,

As an experienced Program/Project Manager in tech or AI-centric organizations, you will be responsible for leading AI/ML initiatives, particularly in automotive, fintech, or e-commerce domains. Your role will involve overseeing the AI/ML lifecycle, including data collection, labeling, model training, evaluation, deployment, and monitoring. It is essential to have a deep understanding of the used car ecosystem, encompassing pricing, inventory, inspection, marketplaces, and more. Your key responsibilities will revolve around project ownership, where you will lead cross-functional AI initiatives across various teams to ensure alignment with company goals. Managing timelines and dependencies for machine learning models such as price prediction, vehicle condition scoring, and fraud detection will be crucial. You will act as a bridge between business stakeholders and technical teams, translating requirements and facilitating collaboration. Additionally, you will be involved in defining program roadmaps, OKRs, and delivery milestones for multiple AI-driven products and platforms. Implementing agile methodologies, managing sprints, retrospectives, and addressing issues promptly are key aspects of your role. Risk management is another critical area where you will need to identify risks, devise mitigation strategies, and proactively handle changes in project scope or timelines. Staying updated on the used car market dynamics, customer behavior, and AI trends is imperative to shape product direction effectively. Regular reporting and communication with leadership regarding program status, KPIs, and blockers will be part of your routine tasks. Your proficiency with project management tools like Jira, Asana, Notion, etc., will aid in executing your responsibilities efficiently. Overall, you will play a pivotal role in driving AI initiatives, ensuring successful project delivery, fostering collaboration between teams, and staying abreast of market trends to drive product innovation and success.,

At PwC, the software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in software engineering at PwC work towards developing innovative software solutions that drive digital transformation and enhance business performance. The primary responsibilities include designing, coding, and testing cutting-edge applications to revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to deepen technical expertise and awareness of strengths. Anticipating the needs of teams and clients is crucial, along with delivering quality results. Embracing ambiguity and utilizing moments of uncertainty as opportunities for growth are key aspects of this position. The required skills and experiences at this level include responding effectively to diverse perspectives, using a range of tools to generate new ideas, employing critical thinking to solve complex problems, understanding project objectives and broader business strategies, enhancing self-awareness through reflection, interpreting data for insights, and upholding professional and technical standards. As a Senior Associate in the Business services support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This team focuses on leveraging advanced technologies to design and develop robust data solutions for the Acceleration Centre. Responsibilities include collaborating with cross-functional teams, designing and maintaining software solutions, implementing event-driven architectures for real-time data processing, utilizing containerization technologies, developing and managing data lakes, and staying updated with the latest advancements in GenAI technologies. Proficiency in Python and software engineering best practices for AI systems is essential for this role, along with hands-on experience in developing and deploying AI models in production environments. Experience in designing and implementing generative AI models, conducting research on the latest AI techniques, optimizing existing AI models, and developing AI pipelines are key responsibilities. The candidate should have a deep understanding of state-of-the-art AI architectures, proficiency in Python and machine learning libraries, strong knowledge of data structures and algorithms, effective communication skills, proactive mindset, and familiarity with cloud-based platforms and services like Azure or AWS.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company, you will play a crucial role in designing and developing advanced systems for video data processing and analysis. You will be part of a team that excels in creating innovative solutions using computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Join our team in Vadodara, Gujarat, and be a part of our internal Computer Vision/Video Analytics team. This team focuses on applied research and is essential in deploying perception algorithms across our products. You will be involved in the entire product lifecycle - from ideation to deployment, giving you the opportunity to witness the impact of your work firsthand. With a minimum of 2 years of experience and a qualification in B.E/B.tech/M.E/M.tech in relevant fields, you should have good experience in Deep Learning/Computer Vision projects. Your technical skills should include working with Neural networks, CNN, deep learning frameworks such as TensorFlow, PyTorch, or Keras, and optimizing models for different hardware platforms. You will lead in the creation of systems, algorithms, and optimizations for all things computer vision. Your day-to-day activities may include designing and implementing algorithms, integrating video analytics solutions, collaborating with cross-functional teams, troubleshooting issues, and researching new technologies to enhance video analytics capabilities. Join us and be part of an Indian Tech Company that is creating innovative products for the world, right from India. Enjoy a competitive salary, generous leave schedule, company-paid medical insurance for the whole family, and a rewarding work environment that encourages you to do your best work. If you are a dynamic and solution-driven Software Engineer with a passion for technology and innovation, this is the opportunity for you. Join us and be a part of a challenging yet encouraging environment where you can unleash your potential and make a real impact.,

As an Engineering Lead at Bolo AI, a company dedicated to utilizing AI to optimize Energy processes, you will play a crucial role in expanding the engineering team and overseeing the delivery of cutting-edge products focused on Generative AI systems. Your responsibilities will encompass managing a talented group of applied scientists, MLOps engineers, and backend developers who are dedicated to developing high-performance platforms for LLM training, RAG, LLM agent orchestration, and enterprise deployments. Your primary objective will be to ensure that the team collaborates effectively to deliver top-tier products within set timelines and with exceptional quality standards. You will be instrumental in driving product excellence, facilitating the swift introduction of new features, functionalities, and AI-driven solutions for our valued customers. Moreover, you will be tasked with defining the technical roadmap, establishing operational frameworks, and upholding engineering standards. Reporting to the CTO and closely working with the CEO, you will engage with research and product teams to shape the company's trajectory and achieve tangible outcomes through state-of-the-art AI technologies. Key Responsibilities: - Architecting scalable and high-performance systems to support LLM pipelines, RAG infrastructure, and agentic workflows - Building, nurturing, and expanding a top-tier engineering team spanning platform engineering, ML infra, and backend systems - Overseeing the end-to-end delivery process of mission-critical AI products from conceptualization to deployment - Collaborating effectively with founders, research scientists, and product managers to align on technical strategies and business objectives - Establishing best practices in software development, MLOps, DevSecOps, and system design to ensure code quality and architectural integrity - Spearheading initiatives to enhance system performance, optimize LLM inference efficiency, and drive cost efficiencies across cloud environments - Engaging with enterprise clients and partners to comprehend requirements, solicit feedback, and facilitate solution delivery Qualifications: - Over 10 years of engineering experience with a minimum of 5 years in building and leading engineering teams, ideally in dynamic startup environments - Profound expertise in constructing production ML systems, encompassing model training, optimization, and large-scale deployment (LLM, RAG, agents, classification, etc.) - Strong background in backend and systems engineering with proficiency in Python and microservice architecture - Prior exposure to hybrid deployments (on-prem, VPC) and cloud-native infrastructure (AWS, GCP, Azure) - Demonstrated ability to scale engineering organizations, implement processes, and drive cross-functional collaborations - Passion for addressing real-world challenges using innovative ML and AI solutions - Educational background in Computer Science or related field (M.Tech/MS/PhD), with preference for candidates from esteemed institutions like IIT/NIT/BITS Desirable Skills: - Familiarity with CPU- and GPU-optimized ML inference frameworks such as BOLT, TorchScript, Triton, ONNX, or vLLM - Proficiency in LLM training methodologies (e.g., LoRA, QLoRA, RLHF, MoE), LLM Agents, multilingual NLP, or recommendation systems - Track record of publications in renowned ML/NLP conferences or patents in the AI/ML domain - Previous involvement in startup environments, particularly within the enterprise or SaaS sectors Join us at Bolo AI for: - Competitive Compensation: A competitive base salary - Ownership & Impact: Equity options to participate in our growth and success - Hybrid Work Environment: Flexibility to collaborate in-person and work remotely to ensure work-life balance - Growth & Opportunity: Engage in a pivotal stage where your contributions will shape our journey and unlock new opportunities - Culture of Respect & Collaboration: Join a team that values humility, respect, and teamwork, celebrating collective achievements.,

As a Senior AI/ML Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) at Snowfig in Delhi, India, you will be at the forefront of developing innovative AI-driven solutions for the legal tech industry. Snowfig is known for its commitment to revolutionizing the legal field by creating bespoke tech solutions that streamline processes and empower legal professionals. Join our team and be part of a mission to drive innovation and excellence in legal tech! Your main responsibilities will include leading the design, development, and deployment of NLP and LLM-based solutions customized for the legal sector. You will work on cutting-edge projects involving LLMs like Mixteral or LAMA to build intelligent, efficient, and scalable solutions. Additionally, you will design and integrate knowledge graphs to enhance the performance of LLMs, ensuring accurate and contextually relevant outputs. Furthermore, you will be responsible for developing robust data pipelines for preprocessing, cleaning, and managing large-scale legal datasets to ensure high-quality input for model training. You will apply advanced techniques for model training, fine-tuning, and optimization to ensure the robustness, efficiency, and scalability of AI models. Collaboration with cross-functional teams to understand requirements, propose solutions, and deliver high-quality products will be a key part of your role. Mentoring junior engineers, staying updated on the latest advancements in AI, NLP, and LLMs, and bringing new ideas to the table are also crucial aspects of this position. You should have over 5 years of hands-on experience in AI/ML, with a strong focus on NLP and LLMs, along with proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. A deep understanding of NLP techniques, LLM architectures, knowledge graphs, cloud platforms like Azure or AWS, and data engineering principles is essential. If you are looking to make a significant impact in transforming the legal industry, work on groundbreaking projects, and advance your career in a collaborative and innovative environment, Snowfig offers the perfect opportunity. Join our dynamic team in Delhi and be a part of a vibrant and diverse work culture that values creativity, initiative, and professional growth.,

Hands on Experience:- NLP/LLM Hugging Face, YOLO, CNNs, Stable Diffusion ML algorithms (regression, decision trees, clustering) Model training/fine-tuning using real-world datasets FastAPI,Flask,Django Docker, Kubernetes Cloud experience