5485 Deep Learning Jobs - Page 39

Job Title: GenAI Developer Experience: 3-8 Years Location: Pune / Nagpur (Hybrid) Employment Type: Full-time About Company Data-Engine works with clients to architect and deploy solutions in GenAI, IoT and ML. Our teams have designed systems that power connected devices, enable edge intelligence and deliver AI-driven applications that solve concrete business problems both in India and overseas. Our focus is to work with clients to translate complex problems into engineered systems that deliver measurable outcomes and accelerate time-to-market. Role Overview We are seeking a highly skilled GenAI / AI-ML Developer with 3-8 years of experience in designing and implementing AI-driven solutions. The ideal candidate will have strong expertise in Python, machine learning, deep learning, and GenAI technologies, with hands-on experience in building and deploying scalable AI systems. Key Responsibilities Design, build, and deploy GenAI applications using LLMs, prompt engineering, and RAG frameworks. Work on prompt engineering, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Integrate APIs such as OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for embeddings, vector search, and prompt handling. Research and stay current with latest AI/ML trends, frameworks, and tools. Collaborate with cross-functional teams to deliver high-impact solutions. Required Skills & Qualifications Strong Python programming skills. Deep understanding of machine learning and deep learning algorithms. Proficiency in Natural Language Processing (NLP). Expertise in data handling, preprocessing, and data engineering. Knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Hugging Face, etc.). Experience in model deployment, scaling, and optimization. Hands-on experience with GenAI tools (RAG, LLMs, embeddings, vector DBs). Strong problem-solving and analytical abilities. Preferred Skills Experience working with large-scale AI systems in production. Familiarity with cloud services (AWS, Azure, GCP) for AI/ML workloads. Prior experience in Agile/Scrum environments.

Requirements: Communication skills Ability to work under pressure Ready to work in flexible shifts Team leading capacity Solution Architect Infrastructure as code code. Enforce code standards Python-basic client server architecture Cloud computing

We are hiring a Machine Learning Engineer with a strong foundation in computer vision, image classification, image processing, and prompt-based generative modeling. In this role, you will focus on building and deploying production-grade ML pipelines that process images at scale, integrate generative models, and power visual AI products. Role & responsibilities Build and optimize ML pipelines for image classification, detection, and segmentation tasks. Design, train, fine-tune, and deploy deep learning models using CNNs, Vision Transformers, and diffusion-based models. Work with image datasets (structured/unstructured), including preprocessing, augmentation, normalization, and enhancement techniques. Implement and integrate prompt-based generative models (e.g., Stable Diffusion, DALL•E, or ControlNet). Collaborate with backend and product teams to deploy real-time or batch inference systems (using Docker, TorchServe, TensorRT, etc.). Optimize model performance for speed, accuracy, and size (quantization, pruning, ONNX conversion, etc.). Ensure robust versioning, reproducibility, and monitoring of models in production. Preferred candidate profile 2-4 years of experience building and deploying ML models in production environments. Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. Hands-on experience with CNNs, ViTs, UNets, or other architectures relevant to image-based tasks. Experience with prompt-based image generation models (e.g., Stable Diffusion, Midjourney APIs, DALL•E, or open-source alternatives). Familiarity with OpenCV, albumentations, or similar libraries for image processing. Ability to train and evaluate models on large datasets with proper tracking (e.g., using MLflow or Weights & Biases). Experience with model optimization tools (ONNX, TensorRT, quantization). Comfortable working with GPU-based environments and optimizing training/inference performance. Nice to Have Experience with ControlNet, LoRA, or DreamBooth for custom generative image tuning. Familiarity with deployment using TorchServe, FastAPI, or Triton Inference Server. Knowledge of cloud infrastructure (e.g., AWS Sagemaker, GCP AI Platform) for scalable training/inference. Basic understanding of CI/CD pipelines for ML (MLOps practices).

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-chennai Location-7th Sep 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- chennai Date of drive- 7th Sep 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Role & responsibilities 4+ Years Relevant Experience in Python with ML libraries: Scikit-learn, TensorFlow, PyTorch, Keras. Experienced in data analysis & visualization: NumPy, Pandas, Matplotlib, Seaborn. Strong in ML algorithms: regression, classification, clustering, ensemble, time-series. Knowledge of deep learning: CNNs, RNNs, Transformers. Skilled in NLP tools: NLTK, SpaCy, Hugging Face. Hands-on with PySpark for large-scale data processing. Familiar with cloud platforms (AWS, Azure, GCP) and tools (Docker, Kubernetes, MLflow). Good in SQL and NoSQL databases. Understanding of MLOps: CI/CD, model monitoring, versioning. Strong problem-solving and analytical skills. Good communication and teamwork in agile environments. Passionate about continuous learning in AI/ML.

Lead and mentor a team of data scientists, ML engineers, and research scientists. Drive AI/ML strategy aligned with business goals. Architect scalable ML, NLP, and Generative AI solutions.

The position of Quant Researcher based in Gurgaon requires a highly motivated and analytical individual with over 2 years of experience in quantitative trading or research roles. As a Quantitative Trader, your primary responsibility will involve designing, implementing, and executing data-driven trading strategies across various asset classes. You will be operating in a fast-paced and collaborative environment that values creativity, precision, and agility. Key Responsibilities: - Develop, backtest, and deploy algorithmic trading strategies by utilizing historical and real-time market data. - Monitor and manage the performance of live strategies, continuously optimizing and refining models based on results and market behavior. - Conduct thorough quantitative research to identify alpha signals and enhance existing models. - Collaborate with developers and researchers to improve trading infrastructure, data pipelines, and execution systems. - Analyze risks and uphold robust risk management practices throughout all trading activities. - Keep abreast of market trends, regulatory changes, and advancements in trading technologies. Requirements: - Possess a Bachelors, Masters, or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering. - Demonstrated 2+ years of experience in a quantitative trading or research role, with internships also considered for junior positions. - Proficient programming skills in Python, C++, or Java, with a preference for Python. - Experience in data analysis, statistical modeling, and backtesting frameworks. - Sound knowledge of financial markets, trading instruments, and market microstructure. - Familiarity with tools like Pandas, NumPy, scikit-learn, KDB+/q, or equivalents. - Strong problem-solving abilities, attention to detail, and the capacity to perform under pressure. Preferred Qualifications: - Prior experience in high-frequency or low-latency trading environments. - Understanding of machine learning or deep learning techniques. - Exposure to cryptocurrencies, futures, options, or other derivatives. - Familiarity with FIX protocol or experience in working with trading APIs.,

As a Post-Doctoral Fellow in the Department of Chemical Engineering at IIT Hyderabad, you will be involved in the project titled "Application of Deep learning techniques for Robust Optimal Project Design of Integrated Water networks towards sustainable water management in Petroleum Refineries." Working under the guidance of Prof. Kishalay Mitra and Co-PI Prof. Raja Banerjee, you will be responsible for contributing to cutting-edge research in the field. To qualify for this position, you must hold a Ph.D. in Operations Research, Optimization, Applied Mathematics, Chemical Engineering, Industrial Engineering, or a related field. Additionally, expertise in mathematical modeling and multi-objective optimization is highly desirable. Candidates with experience in deep learning & AI techniques, a strong background in Nonlinear Programming (NLP) & Mixed-Integer Optimization (MILP/MINLP), large-scale optimization, computational modeling of water networks, industrial water management, GAMS/CPLEX, and proficiency in MATLAB coding will be given preference. The application process involves filling out the Google form provided in the advertisement. You are required to upload your latest CV with contact details of at least 2 referees, scanned/digital copies of degree certificates and transcripts, as well as the abstract of your Ph.D. thesis along with 2 best publications. It is recommended that you instruct your recommenders to send their Letters of Recommendation directly to kishalay@che.iith.ac.in. Selection for this position will be done on a rolling basis, with applications being evaluated every 15 days until suitable candidates are selected. Shortlisted candidates will undergo an online interview, and those with prior relevant experience will be given preference. Immediate joining will be required post-selection, and the position will remain open until a suitable candidate is found. Join us in this exciting opportunity to contribute to impactful research in sustainable water management within the petroleum industry. Your expertise and dedication will play a crucial role in advancing the project's objectives and making a significant impact in the field of Chemical Engineering.,

As a Senior AI Engineer at our company, you will be responsible for leading the design, development, and deployment of cutting-edge AI and machine learning models. We are looking for a highly skilled and motivated individual with a strong background in algorithms, deep learning, data engineering, and software development. Your passion for solving real-world problems through AI will be instrumental in this role. Your key responsibilities will include designing and developing scalable AI and machine learning models to solve complex business challenges. You will lead end-to-end model development, from data collection and preprocessing to training, validation, deployment, and monitoring. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, will be essential. Additionally, you will be optimizing existing AI models for performance and accuracy, staying updated with the latest research and trends in AI/ML, and documenting processes, models, and code to ensure knowledge sharing and reproducibility. Mentoring junior team members and contributing to a culture of innovation and excellence will also be part of your role. To be successful in this position, you should have a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field, along with at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn is required. A solid understanding of machine learning algorithms, data structures, and software engineering principles is also essential. Experience with cloud platforms like AWS, Azure, or GCP, as well as MLOps tools, will be beneficial. Hands-on experience with NLP, computer vision, or deep learning applications, strong problem-solving and analytical skills, and excellent communication and collaboration abilities are desired qualities. Preferred qualifications for this role include a PhD in an AI/ML-related field, experience deploying models in production environments using CI/CD pipelines, and contributions to open-source AI/ML projects or publications in top-tier journals/conferences. In return, we offer a competitive salary, performance bonuses, career growth opportunities, and the chance to work with a passionate and innovative team on impactful projects. This is a full-time, permanent position with a Monday to Friday work schedule. The work location is in person.,

You will be responsible for researching, designing, developing, and deploying advanced predictive machine learning models in a hands-on manner. Additionally, you will be developing and implementing systematic trading strategies based on the model predictions. Your role will involve reading financial literature and academic papers to identify market inefficiencies and gain inspiration. You will need to form hypotheses about market patterns and dependencies and rigorously test them. It is essential to think creatively, innovate, and solve complex problems in this role. You will also be expected to learn about financial markets and instruments to predict their future performance, contributing to the development of best practices within the firm. To excel in this position, you should have an eagerness to learn about financial markets and ways to predict the performance of businesses and their stock prices. A minimum of 5 years of experience in analyzing large amounts of data using Python or R is required. Extensive experience in training and implementing models with Scikit-learn, Pytorch, and/or Tensorflow is essential. You should have a solid understanding of linear algebra, time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression. A proven track record of dedication and perseverance in solving complex problems is highly valued. Excellent English communication skills, both written and oral, are a must. Soft skills are also crucial for this role. You should possess excellent communication skills, both written and oral, along with self-awareness, intellectual curiosity, and a team-player mentality. Being a self-starter, enthusiastic, and positive thinker will contribute to your success in this position. In addition to the aforementioned requirements, it would be advantageous to have a degree in a technical or quantitative discipline like statistics, mathematics, physics, electrical engineering, or computer science. Exposure to packages such as pandas, NumPy, stats models, sklearn, scipy, matplotlib, and TensorFlow is beneficial. C++ experience is considered an advantage. An interest or experience in machine learning techniques, time series analysis, and econometrics is preferred. Experience in Deep Learning, including DNN, CNN, RNN/LSTM, GAN, or other autoencoders, is a plus. This opportunity is with Nirvana Solutions and was posted by Aayushi K.,

As an AI Developer specializing in Agentic AI, you will be responsible for designing, developing, and deploying Agentic AI systems that exhibit autonomous task execution capabilities through the integration of reasoning, memory, and tool use. Your role will involve architecting intelligent agents that can dynamically interact with APIs, data sources, and third-party tools to achieve diverse objectives with minimal human intervention. It will also be essential to optimize the performance of agentic frameworks by enhancing model accuracy, minimizing response latency, and ensuring scalability and reliability in real-world applications. Collaborating with cross-functional teams, including product managers, designers, and backend engineers, will be a key aspect of your job to convert business requirements into modular agent behaviors. You will be expected to integrate advanced NLP techniques, such as Retrieval-Augmented Generation (RAG), and knowledge graph structures to enhance decision-making and contextual awareness of agents. Rigorous profiling, debugging, and performance testing of agent workflows will be necessary to identify bottlenecks and improve runtime efficiency. In terms of qualifications, a Bachelor's degree in computer science or a related field is required, with specialization or certification in AI or ML being a plus. The ideal candidate will have at least 2 years of hands-on experience in AI/ML/DL projects, with a strong emphasis on NLP, NER, and text analytics. Practical expertise in agent architecture, task decomposition, and integration with external APIs, databases, and tools will be essential. Experience with RAG pipelines, generative AI, deep learning methods, recommendation engines, and AI applications within HR or similar domains is highly desirable. Key skills and expertise we look for in a candidate include proven experience in building Agentic AI systems, designing autonomous agents capable of multi-step reasoning, memory management, and tool use. Proficiency in agent design patterns, task decomposition, dynamic planning, and decision-making logic will be crucial, along with the ability to integrate multi-agent coordination, goal-setting, and feedback loops to create adaptive agent behavior. Strong command over prompt engineering, contextual memory structuring, and tool calling mechanisms within LLM-powered agent workflows is also required. Familiarity with tools and technologies such as LangChain, CrewAI, AutoGen, AutoGPT, BabyAGI for building intelligent agents, as well as LLM APIs like OpenAI (GPT-4/3.5), Anthropic (Claude), Cohere, Hugging Face Transformers is beneficial. Experience with memory and vector databases, prompt management tools, RAG pipelines, autonomy infrastructure tools, observability tools, and testing frameworks for agentic behavior will be advantageous in this role. If you possess the necessary technical expertise and skills in Agentic AI development, this role offers an exciting opportunity to work on cutting-edge AI systems and contribute to the advancement of intelligent agent technology.,

As a Senior Machine Learning Engineer at Apple, you will be part of the Information Intelligence team, leading the revolution in how billions of people interact with their devices to search and find information. You will have the opportunity to shape the next generation of Search and Question Answering systems across various Apple products, including Siri, Safari, and Spotlight. Your role will involve leveraging your expertise in Search and applied machine learning, along with strong software engineering skills, to collaborate with a team of exceptional Search and AI engineers. Together, you will work on developing cutting-edge technologies to enhance Query Understanding, Retrieval, and Ranking, paving the way for AI-powered experiences. This will include refining machine learning models, utilizing embeddings and deep learning for match quality assessment, and implementing natural language processing for query comprehension. You will be handling petabytes of data, integrating information from diverse sources, and focusing on delivering accurate results to meet users" information needs effectively. Your contributions will be instrumental in advancing the search capabilities and user experiences across Apple products. Minimum Qualifications: - Possess 10+ years of experience in shipping Search and Question Answering technologies and ML systems - Proficiency in mainstream programming languages like C++, Python, Scala, and Go - Track record of delivering tooling and frameworks for evaluating components and ensuring end-to-end quality - Strong analytical skills to identify opportunities for enhancing search relevance and answer accuracy - Excellent written and verbal communication skills to explain complex topics effectively - Strong interpersonal skills, teamwork, and collaboration capabilities - Demonstrated passion for creating exceptional products and a keen interest in continuous learning Preferred Qualifications: - Background in Search Relevance, Ranking, Question Answering systems, or related areas - Hands-on experience in Retrieval Augmented Generation (RAG) and developing LLMs - Experience in presenting plans, progress, and results concisely - Hold an MS or Ph.D. in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field If you meet the above qualifications and are excited about contributing to the future of search technology at Apple, we invite you to submit your CV for consideration. Join us in making a difference and shaping the way people access information worldwide.,

About Eternal Robotics Hypervise Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Lead Engineer - Computer Vision to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions and leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities Project Management & Technical Leadership: Lead and monitor end-to-end execution of CV/AI projects from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. Client Engagement & Time Management: Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. CV Pipeline Development & Code Quality: Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure code consistency and maintainability. Integrate various components including ML models, camera streams, and decision layers. Model Development & Optimization: Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with specific emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to handle challenging industrial imaging conditions. Testing, QA & Deployment: Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. Continuous Improvement & Innovation: Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to enhance system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) - Model Accuracy: Precision and recall metrics in real production environments - System Deployments: Number and success rate of on-time installations - Resolution Time: Average TAT for solving deployment or inference issues - On-Time Delivery: Project milestone adherence across sprints - Quality of Deliverables: Measured via code audits, testing coverage, and system stability - Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelors degree in Electronics, Computer Science, or related fields. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Experience: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skill Requirements - Programming Languages: Python (primary), C++ (desirable) - Frameworks & Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream - Edge Computing: Jetson Nano/Xavier, deployment on embedded devices - Operating Systems: Linux (Ubuntu preferred), bash scripting - System Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP protocols - Version Control & DevOps: Git/GitHub, Docker, CI/CD familiarity - Additional Tools: VS Code, Jupyter, NVIDIA Nsight, Camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills - Strong analytical and debugging skills with a detail-oriented mindset. - Clear and concise communication across technical and non-technical teams. - Ownership mindset with the ability to lead and mentor junior engineers. - Comfortable in agile, deadline-driven environments and willing to take initiative. Why Join Us - Build real-world AI systems that impact production lines globally. - Work in a cross-disciplinary team of engineers, designers, and domain experts. - Fast-track growth in a company at the forefront of AI transformation in manufacturing. - Access to cutting-edge tools, datasets, and continuous learning opportunities.,

We are seeking a dedicated and detail-oriented AI Trainer to be a part of our team. As an AI Trainer, you will play a crucial role in developing training datasets, training AI models, and assessing their performance to enhance our AI-driven products and services. Collaboration with our data scientists, engineers, and product managers is integral to guarantee that our AI models meet the desired accuracy and efficiency standards. Your responsibilities will include developing and managing large datasets for training and validating AI models, utilizing various learning techniques, collaborating with the team to understand project requirements, monitoring AI model performance, staying updated on the latest AI training methodologies, providing insights for enhancement, and documenting training processes and model performance metrics. The qualifications and skills we are looking for include a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Master's degree preferred), proven experience in training AI models and handling large datasets, knowledge of machine learning algorithms and deep learning frameworks (such as TensorFlow, Keras, or PyTorch), strong analytical and problem-solving abilities, proficiency in programming languages like Python or R, and excellent communication and documentation skills. Proficiency in Malayalam/Tamil/English is required. Preferred skills that would be beneficial for this role include experience with cloud services for machine learning purposes (e.g., AWS, Google Cloud, Azure) and prior experience in a specific AI application domain (e.g., NLP, computer vision, robotics). This position is available in both full-time and part-time capacities, with a day shift schedule. The candidate should have at least 1 year of teaching experience and 1 year of total work experience. Proficiency in English and Tamil is essential. Join us in shaping the future of AI technology and contribute to our innovative projects!,

As an AI Architect at UST, you will be a key player in driving the company's AI transformation by designing and implementing cutting-edge AI solutions. Your role is crucial in aligning business needs with technical feasibility to successfully deploy AI initiatives across product and delivery organizations. Your responsibilities will include defining and driving the AI architectural strategy and roadmap in line with overall business objectives. You will lead the end-to-end design of complex AI/ML solutions, evaluate and recommend appropriate AI technologies, and collaborate with product teams and data scientists to translate business requirements into technical specifications. Additionally, you will establish AI development best practices, ensure scalability and performance of AI solutions, stay updated on the latest advancements in AI technologies, and mentor internal teams on AI architectural patterns and emerging technologies. To be successful in this role, you should have 8-15 years of experience in architecting and implementing complex AI/ML solutions, a deep understanding of machine learning algorithms and NLP techniques, proficiency in programming languages like Python and Java, and experience with cloud AI platforms and MLOps principles. A degree in computer science, AI, Machine Learning, or a related field is required. Prior experience in an AI leadership role, familiarity with containerization technologies, and contributions to open-source AI projects are considered advantageous. Key skills for this role include AI Architecture, Machine Learning, NLP, Cloud AI Platforms, Technical Leadership, and Performance Optimization. Join UST, a global digital transformation solutions provider, and work alongside top companies to drive real impact through innovation and agility. With over 30,000 employees in 30 countries, UST is committed to building a future-proof and innovative environment that touches billions of lives.,

As an AI/ML Engineer at our client's dynamic, venture-backed startup in Bangalore, you will be revolutionizing semiconductor design with cutting-edge AI tools. Founded by serial entrepreneurs with deep industry expertise and over 75 patents, our client empowers chip designers to streamline workflows, boost productivity, and accelerate innovation. Join our world-class team to build intelligent assistants that are truly game-changing for the industry. To excel in this role, you must possess a strong theoretical understanding and practical application of deep learning principles. Proficiency in developing and debugging robust machine learning models using Python and leading ML libraries such as PyTorch and TensorFlow is crucial. Expertise in Graph Neural Networks will give you a significant edge in tackling complex semiconductor challenges. Additionally, demonstrated expertise in Large Language Models, including prompt engineering, supervised fine-tuning, and architecting agentic workflows, is highly valued. You should have at least 4 years of hands-on experience in the field, coupled with a degree in Mathematics, Computer Science, or Electronics. Your key responsibilities will include preparing high-quality datasets from various unstructured data sources, developing intricate knowledge graphs, applying advanced data augmentation techniques, developing intelligent agentic workflows around Large Language Models, crafting evaluation frameworks for LLMs, and deploying cutting-edge models in on-premise environments. Desired skills and experience for this role include proficiency in PyTorch, NLP, prompt engineering, model fine-tuning, Python, Graph Neural Networks, Knowledge Graph, and RAG (Retrieval-Augmented Generation). Joining our client's team offers you the opportunity to define the future of semiconductor design. If you are a passionate Deep Learning enthusiast with a flair for system architecture, eager to tackle complex challenges and make a mark on the industry, we invite you to apply now. This is an on-site position located in Bengaluru. If you are ready to build the future, not just maintain it, please send your resume to rekha.cxc@careerxperts.com.,

As an AI/ML Developer, you will be responsible for designing and developing AI applications using LangChain and Agentic AI architectures. Your role will involve implementing RAG pipelines for knowledge retrieval and reasoning tasks, building machine learning models for clustering, regression, and prediction purposes, and fine-tuning deep learning models for text-based or tabular data. Additionally, you will be tasked with performing data cleaning, transformation, and feature engineering, as well as writing efficient Python code for production-quality applications. You will collaborate closely with the team to leverage your expertise in SQL for database querying and preparation, staying updated with the latest techniques in LLMs, Agentic AI, and machine learning. The ideal candidate should possess excellent programming skills in Python, proficiency in SQL, a strong understanding of machine learning algorithms, hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and expertise in data preprocessing and cleaning techniques. Preferred skills include prior experience with LLMs and prompt engineering, knowledge of vector databases like Pinecone, FAISS, or ChromaDB, strong analytical thinking, problem-solving abilities, and the capacity to work both independently and collaboratively. If you are passionate about developing intelligent, autonomous AI solutions and driving innovative business applications, this role is perfect for you.,

We are a successful company with 17 years of experience in delivering impactful digital solutions. Currently, we are expanding into an exciting new division focused on Artificial Intelligence, with a vision to revolutionize the sports industry using AI and computer vision technology. We are seeking a talented and motivated Android App Developer Intern to join our team and contribute to the development of our next-generation sports AI applications. As an Android App Developer Intern, your responsibilities will include designing, developing, and maintaining high-performance, user-friendly mobile applications using Kotlin and Jetpack Compose. You will be integral in integrating computer vision libraries and algorithms to ensure accurate analysis of sports techniques. Collaboration with the backend team is essential to ensure smooth data flow and API integration. Your day-to-day responsibilities will involve: - Designing, developing, and maintaining Android apps using Kotlin and Jetpack Compose. - Integrating computer vision libraries (such as OpenCV, MediaPipe) for real-time sports technique analysis. - Working closely with the AI team to implement deep learning models and real-time feedback mechanisms. - Building smooth, intuitive, and visually appealing UI/UX for athletes and coaches. - Collaborating with the backend team for seamless API integration and data flow. - Conducting thorough testing, profiling, and debugging to ensure app performance and stability. - Troubleshooting and resolving application issues promptly. - Contributing to internal tools and lightweight backend functionality for development needs. By joining our team, you will gain experience in: - Working on real-world computer vision challenges in sports. - Learning to build production-level Android apps that leverage AI for real-time insights. - Collaborating with a passionate and fast-moving team of developers, designers, and AI researchers. - Making a meaningful impact on athletes and the future of sports technology. About the Company: Practice Buzz is an online medical tourism IT firm based in Chandigarh, India. We specialize in online medical marketing and are dedicated to helping healthcare organizations improve online visibility and brand awareness. Our mission is to assist international healthcare providers in increasing patient volumes through innovative online marketing strategies. We work with companies primarily from the US to bridge the gap between top-notch healthcare providers and their prospective patients.,

Bold is seeking the newest addition to the existing Data Science team to combine analytical skills and business knowledge for delivering key insights to the Product and Management teams. The role involves driving product development by utilizing vast user data sets to enhance current products and build new ones. The Data Science department at Bold is responsible for discovering patterns and trends in datasets, creating predictive algorithms and data models, and improving the quality of data or product offerings through machine learning techniques. The team collaborates with Engineering, Portals, BI, Product, and Legal vertical teams. Projects involve natural language processing and machine learning for tasks like resume parsing, ranking, data quality, job recommendations, and more. Responsibilities include working on data science projects involving NLP, predictive modeling, statistical analysis, and machine learning. Leveraging user data sets for research, model development, and product creation is essential. Collaborating with cross-functional teams to deliver end-to-end products, multi-tasking, estimating efforts, and mentoring/coaching data scientists are key aspects of the role. Knowledge and experience in statistical and machine learning algorithms, Python, large language models, backend technologies, and deep learning libraries are required. Experience with cloud infrastructure, tools for deploying models, and software stack components is beneficial. The role offers outstanding compensation, full health benefits, flexible time away, and additional perks like internet reimbursement, catered meals, and certification policy. Bold is known for transforming work lives and promoting diversity and inclusion among its global workforce.,

Amrita School of Artificial Intelligence, Coimbatore, invites applications for a Postdoctoral Research Fellow position focusing on AI and Machine Learning applications in Power and Energy Systems. As a Postdoctoral Research Fellow, you will be an integral part of a vibrant research team that operates at the intersection of machine learning, power and energy systems, and sustainable technology. Your primary responsibility will involve leveraging data-driven methodologies to address real-world issues in smart grids, renewable integration, electric vehicles, and energy resilience. To qualify for this position, you must hold a Ph.D. in Electrical Engineering, Artificial Intelligence, Computer Science, or a relevant discipline. Additionally, a robust foundation in machine learning, deep learning, or data-driven modeling is essential. A profound understanding of power systems, smart grids, or energy infrastructure is required for this role. Proficiency in MATLAB and Python, along with expertise in popular ML libraries such as TensorFlow, PyTorch, and Scikit-learn, is crucial. Excellent communication and scientific writing skills are highly valued for effective collaboration and dissemination of research findings. This position is ideal for individuals who are passionate about applying cutting-edge AI and Machine Learning techniques to drive innovation in the power and energy sector. If you are excited about contributing to impactful research projects in the realm of Power and Energy Systems utilizing state-of-the-art AI technologies, we encourage you to apply. The deadline for applications is 31st July 2025. For further information or to apply, please contact s_rahul1@cb.amrita.edu.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, where science meets art and high tech surpasses mere computer code, your work will have a global impact, from movie theaters to smartphones. Revolutionizing how people create, deliver, and enjoy entertainment worldwide is our mission, and to achieve this, we seek top talent. Dolby provides the resources of a large corporation combined with the opportunity for individuals to truly make a difference and receive recognition for their contributions. Alongside a collegial culture, challenging projects, and competitive compensation and benefits, this role is based in Bangalore, offering a mix of office and work-from-home flexibility. Dolby's research division is currently seeking a volumetric imaging researcher to contribute to pioneering efforts in developing next-generation volumetric and spatial scene understanding and representation technologies. As a member of the Multimodal Experience Lab within Dolby's Advanced Technology Group, you will collaborate with a skilled team of researchers to advance volumetric scene representation, novel view synthesis, scene analysis and understanding, and scene rendering technologies. Your key responsibilities will involve leading research efforts beyond the current state of the art, particularly focusing on the composition and de-composition of volumetric scenes, as well as the manipulation of lighting, shadows, and occlusion. In addition to conducting fundamental research, you will be involved in technology transfer to product groups and patent application drafting. Key Responsibilities: - Conduct cutting-edge research in computer graphics and view synthesis - Collaborate with a top-notch research team to define and execute research roadmaps - Implement strong development methodology, including quality metrics and test content, to validate algorithmic solutions - Utilize AI and deep learning techniques to innovate and improve applications - Share knowledge through technical whitepapers, publications, and internal presentations - Transfer technology to product groups and contribute to patent applications - Stay informed about the latest research in computer graphics and computer vision fields Requirements: - Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or related fields - Demonstrated strong publication record in major conferences/journals - Proficiency in view synthesis and/or light-field research - Familiarity with scene representation methods such as Gaussian Splatting or NeRF - Experience in computer graphics and computer vision R&D - Proficiency in research-oriented programming languages (Python, Matlab, or C/C++) - Experience in building and testing models in Pytorch/Tensorflow environments - Excellent written and verbal communication skills - Ability to collaborate effectively with colleagues in research and software development - Expertise in deep learning-based solutions Nice to have: - Experience with real-time graphics (OpenGL/Cuda/DirectX/Vulkan) - Familiarity with Pytorch3D - Experience with game engines (Unreal, Unity) - Exposure to XR environments, capture, and devices,

Eternal Robotics Hypervise is a leading industrial AI platform specializing in real-time quality inspection, process control, and defect detection utilizing advanced computer vision and deep learning technologies. Our focus areas include automotive, apparel manufacturing, pharmaceuticals, and packaging, where we enhance operational efficiency through the digitization of production lines. As a Senior Computer Vision Engineer at Eternal Robotics, you will play a pivotal role in architecting and spearheading the development of AI-powered inspection systems and edge deployments. This role demands a proactive individual who can deliver robust computer vision solutions, guide junior engineers, and collaborate effectively across projects. If you thrive in a fast-paced environment and are passionate about solving industrial challenges using vision AI, this opportunity is for you. Your responsibilities will include project management, technical leadership, client engagement, code quality, model development, testing, deployment, continuous improvement, and innovation. You will lead end-to-end execution of CV/AI projects, collaborate with cross-functional teams, engage with customers to translate requirements into specifications, design scalable CV pipelines, optimize models, supervise deployments, and drive continuous enhancement. Key Performance Indicators (KPIs) for this role will focus on model accuracy in production environments, successful system deployments, resolution time for issues, on-time project deliveries, quality of deliverables, and customer feedback post-deployment. To excel in this role, you should possess a Bachelor's degree in Electronics, Computer Science, or related fields, with 3+ years of hands-on experience in developing computer vision solutions, particularly in manufacturing, robotics, or industrial automation. Additionally, familiarity with programming languages such as Python and C++, frameworks like OpenCV, TensorFlow, PyTorch, and tools including Jetson Nano/Xavier for edge computing is crucial. Soft skills like strong analytical abilities, effective communication, leadership, and agility in deadline-driven environments are essential. Join us at Eternal Robotics to work on impactful AI systems, collaborate with a diverse team, grow rapidly in the field of AI in manufacturing, and access cutting-edge tools and continuous learning opportunities.,

As a Senior Machine Learning Engineer at TrueFan in Gurugram, you will play a crucial role in designing, developing, and deploying cutting-edge models for end-to-end content generation using AI-driven technologies. Your responsibilities will include working on advanced generative models such as Diffusion Models, 3D VAEs, and GANs to create highly realistic AI-generated media. You will collaborate with software engineers to deploy models efficiently on cloud-based architectures and stay updated with the latest trends in deep generative models and transformer-based vision systems to enhance content quality. Your main responsibilities will revolve around designing and implementing state-of-the-art generative models, building AI pipelines for image/video generation and lipsyncing, developing lipsyncing and multimodal generation models for hyper-realistic content, implementing real-time content generation systems, and conducting experiments to evaluate and improve model performance. Additionally, you will participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques, reinforcement learning, and large-scale AI model training are also required. Preferred qualifications include experience with transformers and vision-language models, a background in text-to-video and lipsync generation, familiarity with cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content.,

As an MLOps Engineer at our company, you will be responsible for developing scalable applications and platforms in an agile environment. You will manage various aspects of project management, including requirements gathering, metadata collection, classification, security clearance, data pipeline template development, and data pipeline monitoring and support. Your role will involve designing, developing, deploying, and maintaining production-grade scalable data transformation, machine learning, and deep learning code and pipelines. You will be in charge of managing the ETL and machine learning model lifecycle, including development, deployment, monitoring, maintenance, and updates of data and models in production. Additionally, you will build and maintain tools and infrastructure for data processing for AI/ML development initiatives. To succeed in this role, you must have experience deploying machine learning models in production environments and possess a strong background in DevOps, Data Engineering, and ML on Cloud platforms. You should be familiar with containerization and orchestration tools like Docker and Kubernetes, as well as ML Ops open source frameworks for model registry, performance measurement, and monitoring. Proficiency in Python scripting, CI/CD, and Python data tools such as Pandas, Dask, or Pyspark is required. Experience working on large-scale distributed systems, Python/Scala for data pipelines, and Scala/Java/Python for micro-services and APIs will be beneficial. Knowledge of HDP, Oracle skills & SQL, Spark, Scala, Hive, and Oozie DataOps is also desirable. If you are a self-motivated individual with a passion for problem-solving and continuous learning, we encourage you to apply for this exciting opportunity and contribute to our AI/ML development initiatives. Regards, Manvendra Singh manvendra.singh@incedoinc.com,

As an AI Intern at Arcitech AI, you will have a significant role in the advancement of cutting-edge technologies in Artificial Intelligence. This position offers exciting challenges and opportunities to contribute to the development of AI models and solutions that will have a profound impact on the industry's future. Your responsibilities will include developing AI models and solutions, analyzing data to extract valuable insights, collaborating with the team on various projects, implementing algorithms to enhance AI capabilities, researching AI trends and advancements, as well as working on LLM Models and Langchain technologies. To qualify for this role, you should hold a Bachelor's degree in a relevant field and have 0 to 1 years of experience in Artificial Intelligence. Proficiency in Deep Learning, Machine Learning, and Python Programming is essential. Additionally, a strong knowledge of CSS, Data Analysis, and C++ is required. Familiarity with Artificial Intelligence Ethics and Langchain technologies will be advantageous. Join our dynamic team at Arcitech AI based in Mumbai, Maharashtra, India. Experience a supportive work environment that offers opportunities for professional growth and a competitive benefits package. Located in Mumbai's bustling Lower Parel area, Arcitech AI is a trailblazer in software and IT, focusing on software development, AI, mobile apps, and integrative solutions. Enjoy unique perks like weekends off and a provident fund. Our vibrant culture is friendly and cooperative, fostering a dynamic work environment that inspires creativity and forward-thinking. Shape the future of technology with us at Arcitech AI, where innovation meets excellence.,