113 Lora Jobs - Page 2

As a Python Developer at our company, you will be responsible for developing, deploying, and optimizing Python-based applications for Visual AI tasks such as image classification, object detection, and image generation. Your expertise in Django and Flask, along with your proficiency in Django Rest Framework (DRF), will be crucial in this role. Additionally, you will work with machine learning concepts and tools like PyTorch, TensorFlow, and transformer architectures. Your key responsibilities will include designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. You will collaborate with cross-functional teams to integrate Visual AI capabilities into applications and conduct exploratory data analysis for AI/ML tasks. Optimizing models for performance, scalability, and accuracy will also be a part of your role. To excel in this position, you must demonstrate a strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is essential. You should have a good understanding of computer vision techniques, such as object detection, image segmentation, and image generation, and be familiar with Generative AI techniques like GANs, VAEs, diffusion models, and LLaMA. Moreover, experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is required. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment will be beneficial. Familiarity with model optimization techniques like transfer learning, fine-tuning, and LoRA is also desirable. In this role, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions in the field of Visual AI. Your ability to collaborate with teams, optimize models, and present findings to stakeholders will be key to your success in this dynamic position.,

We are searching for a highly skilled and experienced Python Developer to become a valuable part of our dynamic team. The ideal candidate should possess a robust background in developing web applications utilizing Django and Flask, along with expertise in deploying and managing applications on AWS. It is essential to have proficiency in Django Rest Framework (DRF), a solid grasp of machine learning concepts, and practical experience with tools such as PyTorch, TensorFlow, and transformer architectures. Your primary responsibilities will include developing, deploying, and optimizing Python-based applications for Visual AI tasks like image classification, object detection, and image generation. You will also be tasked with designing, implementing, and fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. Additionally, you will work with diffusion models, GANs, VAEs, and other generative models for tasks like text-to-image and image-to-image generation. Collaboration with cross-functional teams to integrate Visual AI capabilities into applications, conducting exploratory data analysis, and implementing feature engineering for AI/ML tasks will also be part of your role. Furthermore, you will optimize models for performance, scalability, and accuracy, as well as document and present findings, tools, and best practices to technical and non-technical stakeholders. The ideal candidate should demonstrate strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is required. A good understanding of computer vision techniques such as object detection, image segmentation, and image generation is essential. Familiarity with Generative AI techniques including GANs, VAEs, diffusion models, and LLaMA is advantageous. Experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is beneficial. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment, as well as familiarity with model optimization techniques including transfer learning, fine-tuning, and LoRA, will be a plus. This position offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. If you are passionate about Python development, machine learning, and Visual AI tasks, we encourage you to apply for this role and be a part of our innovative team.,

About This Role We're seeking a passionate Generative AI Engineer & problem solver to join our world-class team of innovators who are pushing the boundaries of what's possible with artificial intelligence. You'll be at the forefront of cutting-edge AI research and development, working on awesome projects. What You'll Do Core Responsibilities: Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions. Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems. Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives. Optimize model latency and performance for real-time applications and large-scale deployment Architect scalable ML infrastructure for training, inference, and model serving Fine-tune Large Language Models (LLMs) and other transformer-based architectures Ability to explain complex AI concepts to technical and non-technical stakeholders What We're Looking For Experience Requirements: 6+ years of overall data science or ML experience. 1.5+ years of hands-on experience with generative AI and large language models. Advanced degree in Computer Science, Machine Learning, or related field. Experience in taking ML/DL model to production. ? Technical Expertise: Python, C++ or any other high-level language. PyTorch and TensorFlow. Experience with Hugging Face Transformers , LangChain , LlamaIndex, PydanticAI Deep Learning fundamentals: neural networks, backpropagation, optimization Generative AI frameworks : OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment Model architectures : Transformers, attention mechanisms, encoder-decoder models Fine-tuning techniques : LoRA, QLoRA, full parameter fine-tuning, RLHF Design and implement comprehensive evaluation pipelines A/B testing for AI systems and statistical significance testing Latency optimization techniques: model quantization, pruning, distillation Experience with MLOps tools: MLflow, Weights & Biases, DVC

You will be joining Star Software, an AI-powered automation company with a focus on revolutionizing document processing and workflows. The company specializes in processing complex documents and reports to facilitate precise data extraction. Star Software's technology stack is driven by AI, OCR, and RPA, ensuring accuracy, efficiency, and seamless integration into existing workflows. Your role will involve working with the following tech stacks and key skills & tools: - **Language Skills**: - Strong proficiency in Python - Familiarity with libraries such as Transformers, OpenAI SDK, and Hugging Face Datasets - **Machine Learning/Deep Learning**: - Proficiency in PyTorch and TensorFlow (optional) - Knowledge of fine-tuning methods like LoRA, PEFT, and QLoRA - Understanding of Transformers, Attention, and Tokenization - **NLP Techniques**: - Experience with Named Entity Recognition (NER) - Proficiency in Question Answering, Summarization, and Text Classification - **Model Handling**: - Familiarity with OpenAI models (GPT-4, GPT-3.5) and Hugging Face models (LLaMA, Mistral, Falcon, etc.) - Ability to work with custom-trained models - **Tools & Infrastructure**: - Experience with Weights & Biases, MLflow for experiment tracking - Proficiency in Docker, Kubernetes for containerization - Knowledge of Streamlit/Gradio for demos, FastAPI/Flask for APIs, and Git, CI/CD pipelines Preferred qualifications for this role include: - Graduation from Tier 1 colleges - Minimum of two years of experience in building quality applications - Strong working knowledge of Web technologies and APIs - Experience in SAAS product development would be a plus - Previous experience in IDP (Intelligent Document Processing) is desirable If you are passionate about leveraging AI to streamline document processing and are proficient in the mentioned tech stacks and skills, we encourage you to apply for this exciting opportunity at Star Software.,

Greetings From Scorelabs Inc ! Deploy models/APIs using Flask/Django on AWS, Azure, or GCP. Work with vector databases (FAISS, Pinecone, Weaviate) for similarity search. Implement AI workflows (LangChain, LangGraph, CrewAI, MCP) HR 9550760771 Required Candidate profile 2 - 4 years (1-2 years In Data Science) Experience with LangChain, LangGraph, CrewAI, MCP servers, Hugging Face Transformers, Retrieval-Augmented Generation (RAG) Or (Zapier, Make.com, n8n) & AI

As a highly skilled Hardware & Firmware Expert with experience in embedded systems and IoT applications, you will be responsible for developing hardware design and firmware for MCUs such as STM32, ESP32, and Nordic nRF series. Your expertise in IoT communication protocols like WiFi, BLE, LoRa, and other LPWAN technologies will be crucial in implementing and integrating these protocols. Additionally, you will work with RTOS-based firmware, optimize tasks for real-time execution, and develop and debug peripheral interfaces including UART, I2C, SPI, ADC, PWM, GPIOs, and DMA. You will also play a key role in implementing and managing OTA firmware upgrades, secure boot mechanisms, writing efficient device drivers, integrating third-party libraries and SDKs, and working with low-power design techniques for battery-operated devices. Your experience in developing firmware using frameworks like Arduino, STM32 HAL/LL, ESP-IDF, and Nordic SDK, and debugging firmware using tools like JTAG, SWD, Logic Analyzers, and Oscilloscopes will be essential for this role. Collaboration with hardware, software, and cloud teams for seamless IoT integration will also be part of your responsibilities. To be successful in this role, you should have 4+ years of experience in firmware development for embedded systems, strong hands-on experience with STM32, ESP32, and Nordic MCUs, proficiency in C/C++ programming for embedded systems, and familiarity with RTOS such as FreeRTOS and Zephyr. Experience with wireless communication protocols, Arduino framework, ESP-IDF, Nordic SDKs, peripheral interfaces, OTA firmware updates, debugging tools, low-power design techniques, and security protocols for embedded IoT devices will be highly valued. Preferred qualifications include experience with AI/ML on edge devices (TinyML), custom bootloaders, secure firmware updates, and knowledge of scripting languages like Python for debugging and automation. In return, you can expect a competitive salary based on experience, a flexible work environment, and the opportunity to work on cutting-edge IoT and embedded projects with learning and growth opportunities in firmware development & IoT solutions. If you are passionate about embedded systems and IoT firmware development, we look forward to hearing from you!,

6+ years of overall data science or ML experience. 1.5+ years of hands-on experience with generative AI and large language models. Advanced degree in Computer Science, Machine Learning, or related field. Experience in taking ML/DL model to production. Technical Expertise: Python, C++ or any other high-level language. PyTorch and TensorFlow. Experience with Hugging Face Transformers, LangChain, LlamaIndex, Pydantic AI Deep Learning fundamentals: neural networks, backpropagation, optimization Generative AI frameworks: OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment Model architectures: Transformers, attention mechanisms, encoder-decoder models Fine-tuning techniques: LoRA, QLoRA, full parameter fine-tuning, RLHF Design and implement comprehensive evaluation pipelines A/B testing for AI systems and statistical significance testing Latency optimization techniques: model quantization, pruning, distillation Experience with MLOps tools: MLflow, Weights & Biases, DVC Cutting-Edge Technology: Access to premium GPU clusters A100s for training and experimentation Latest hardware and software tools to support your research and development Freedom to explore breakthrough AI technologies and methodologies Work on groundbreaking problems that haven t been solved before Collaborate with world-class researchers and engineers from top universities and tech companies Contribute to open-source projects and publish your research Core Responsibilities: Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions. Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems. Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives. Optimize model latency and performance for real-time applications and large-scale deployment Architect scalable ML infrastructure for training, inference, and model serving Fine-tune Large Language Models (LLMs) and other transformer-based architectures Ability to explain complex AI concepts to technical and non-technical stakeholders Keywords Python, Gen AI, LLM, Deep Learning, MLOps, LoRA, QLoRA, PyTorch

As an Associate Manager - Senior Data Scientist at our company, you will have the opportunity to tackle some of the most significant business challenges faced by our clients by leveraging a variety of AI and ML technologies. Your role will involve close collaboration with business partners and subject matter experts to conceptualize and implement innovative solutions leveraging data to achieve predefined objectives. Engaging with clients to gain a deep understanding of their current and future business objectives and translating these into analytical frameworks will be a key aspect of your responsibilities. You will be tasked with developing customized models based on a thorough comprehension of the underlying data, data structures, and business challenges to ensure that the deliverables align with the specific needs of the clients. Creating models that are repeatable, interpretable, and scalable will also be a crucial part of your role. Effective communication of the analytics approach and insights to a broader business audience will be essential. Additionally, collaborating with team members, peers, and leadership both within our organization and at client companies will be pivotal for success in this role. To qualify for this position, you should possess a Bachelor's or Master's degree in a quantitative field such as CS, machine learning, mathematics, or statistics, or have equivalent experience. You should have at least 5 years of experience in data science with a focus on building hands-on ML models. Your expertise should extend to working with LMs such as Llama, T5, Falcon, Langchain, or similar frameworks, and you should have a comprehensive understanding of the evolution of NLP from Traditional Language Models to Modern Large Language Models. Familiarity with concepts such as LORA, RAG, Instruct fine-tuning, and Quantization is also required. Experience in leading the complete lifecycle of predictive modeling solutions, proficiency in Python programming with knowledge of numerical, data analysis, and AI frameworks like NumPy, Pandas, Scikit-learn, and Jupyter, as well as advanced SQL skills with exposure to SQL Server and Spark is crucial. Knowledge of predictive/prescriptive analytics, machine learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks is necessary. Moreover, experience in Natural Language Processing (NLTK) and text analytics for tasks such as information extraction, parsing, and topic modeling is preferred. Strong verbal and written communication skills, excellent troubleshooting and problem-solving abilities, and the ability to thrive in a dynamic and innovative environment are essential attributes for this role. Familiarity with data visualization tools like PowerBI, Tableau, R Shiny, and experience with cloud platforms such as Azure and AWS are advantageous but not mandatory.,

Senior AI Engineer ???? Mumbai | Hybrid About Quantanite Were a global CX and digital solutions partner that blends cutting-edge AI with the human touch. Headquartered in London and operating across 4 continents, our 2,000+ people help some of the worlds fastest-growing brands scale smarter, work faster, and deliver better serviceevery time. Were not your typical outsourcing company. At Quantanite, great service is built on two things: smart tech and smarter people. From proprietary AI platforms like MBIUS to our collaborative, people-first culture, we equip our teams with the freedom and tools to build game-changing solutions. If youre looking for a place where your AI engineering skills can shape real enterprise impact (not just POCs), youll feel at home here. The Role As a Senior AI Engineer , youll own the full lifecycle of AI solutionsfrom design to production. Youll be hands-on with multi-agent workflows, advanced knowledge retrieval, and LLM optimization to solve enterprise-scale problems. Expect to lead projects such as AI Copilots, Enterprise Search Systems, Summarization Engines, and Intelligent Automation Tools building robust, scalable solutions that move beyond prototypes into production. Youll also play a key role in mentoring junior engineers, setting engineering standards, and collaborating cross-functionally to ensure delivery at scale. What Youll Do Build and deploy agentic systems and multi-agent workflows using LangChain, LlamaIndex, OpenAI SDK (and beyond). Design RAG pipelines with vector DBs like FAISS, Pinecone, Weaviate, or Qdrant. Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) with LoRA/QLoRA, quantization, and other techniques. Implement guardrails, safe API usage, and PII protection for secure deployments. Monitor/evaluate agent performance with LangSmith, AgentOps , and similar tools. Ship real-world enterprise AI use casesCopilots, orchestration engines, intelligent search, and more. Mentor and review the work of junior AI engineers, spreading best practices. Work with product, data, and DevOps teams to bring AI solutions into production at scale. What Youll Bring Solid grounding in LLMs and GenAI (fine-tuning, prompt engineering, practical deployment). Proven track record with RAG pipelines and vector databases. Hands-on with agent frameworks (LangChain, LlamaIndex, etc.) and orchestration. Experience deploying/scaling models on clouds (AWS, Azure, HuggingFace). Strong coding ability in Python or similar. Familiarity with LLM Ops : monitoring, evaluation, cost optimisation. Delivered enterprise-grade AI solutions (not just demos). Experience mentoring engineers and building technical excellence in a team. Bonus: contributed to open-source LLM projects or worked on autonomous agent use cases (research copilots, orchestration systems). Qualifications B.Tech (required). 4.57 years of relevant experience. Strong knowledge of GenAI, agentic systems, and multi-agent architectures. Attributes: clear communicator, strong leader, highly tech-savvy. Preferred: exposure to BPO/KPO environments or systems experience in enterprise AI/agentic tools. Why Quantanite ???? Hybrid work model. ???? Ongoing training, mentorship & career growth. ???? Inclusive, people-first culture. ???? Health insurance & provident fund. Quantanite is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all. ???? Ready to push agentic AI beyond theory into enterprise-scale impact Lets build the future together. Apply today to discover how we can build better, together. Show more Show less

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Electronic Arts Inc. is a global leader in interactive entertainment. We develop games, content and online services across platforms. We have a broad portfolio of brands that span the most popular genres. We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together experienced people that combine creativity, innovation, and passion. We&aposre looking for people to come to the office excited to work and ready for some fun. The AI Engineer will report to Sr Manager responsible for Data & Insights. Join us in driving the next revolution in games. Key Responsibilities Research, fine-tune, and integrate Large Language Models (LLMs) such as GPT, Llama, Claude, etc. Design and build GenAI-powered applications for text, code, or multimodal tasks. Develop and deploy RAG (Retrieval-Augmented Generation) pipelines using vector databases. Collaborate with product, engineering, and UX teams to build scalable GenAI use cases. Ensure responsible AI practices by addressing bias, hallucinator, and privacy issues. Evaluate and optimize model performance, cost, and latency for production-grade systems. Keep up to date with the rapidly evolving GenAI ecosystem (APIs, open-source models, frameworks). ? Conduct AI experimentation for task automation using tools like Lang Chain, AutoGen, or ReAct. Minimum Qualification Bachelors or masters degree in computer science, Data Science, AI, or related field. 5+ years' experience in a similar role. Solid understanding of NLP, deep learning, and transformer-based architecture. Experience with GenAI frameworks like LangChain, LlamaIndex, Haystack, or Hugging Face. Strong Python coding skills and familiarity with REST APIs and orchestraWon tools. Familiarity with LLMOps tools (e.g., Weights & Biases, PromptLayer, BentoML) is a plus. Knowledge of prompt engineering, fine-tuning (LoRA, PEFT), and safety alignment techniques. Excellent problem-solving, communication, and cross-functional collaboration skills. About Electronic Arts Were proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. Show more Show less

Who Are We Looking For We are seeking a highly motivated and passionate Embedded Systems Intern who is eager to work on real-world applications in the drone and anti-drone space If you're curious about electronics, love tinkering with PCBs, and want to explore how embedded systems power UAVs and advanced RF technologies, this is your launchpad At Nerve Cells AI Pvt Ltd, youll work alongside a passionate engineering team focused on innovation, national defense, and emerging tech, What You Will Be Doing PCB Development Assist in the design and development of Printed Circuit Boards (PCBs) for embedded system projects, Collaborate with the electronics team to integrate PCBs with various subsystems, Support prototype testing and design iterations to enhance efficiency and functionality, Embedded Software Development Write, test, and maintain software code for embedded systems based on hardware specifications, Work on firmware development and ensure seamless functionality with real-time operating systems (RTOS), Debug and optimize system software for performance improvements, Drone & Anti-Drone Systems Development Contribute to the lifecycle development of drone and anti-drone solutions, Develop embedded systems for UAV communication, navigation, and control, Participate in designing systems for detecting, tracking, and neutralising rogue drones, Radio Frequency (RF) Analysis Analyse and interpret RF signals relevant to drone technologies, Assist in developing RF modules for integration into embedded systems Technical & Team Collaboration, Support technical hiring processes by evaluating embedded systems expertise, Assist team members and new hires during onboarding and ongoing projects, What is the color of seaThe answer is Red Bonus Points for Familiarity with Hands-on experience with microcontrollers like STM32, ESP32, or Arduino, Understanding of communication protocols (SPI, I2C, UART), Experience working with LoRa, GPS, Zigbee, or RF modules, Familiarity with tools like Altium Designer, KiCad, or Eagle for PCB design, Exposure to real-time operating systems (FreeRTOS, Zephyr, etc), Basic knowledge of drone flight controllers or radio frequency spectrum tools, Educational Requirement Completed a Bachelor's or Masters degree in Electronics, Electrical, Embedded Systems, Mechatronics, or a related field, Must Have Knowledge of Basic electronics, Salary Stipend of INR 5000 per month (5000 x 6 = 30000), in which each intern will get 2500/per month cash in hand, and 2500 per month will be kept and will be given (2500 x 6 = 15000) at the time of completion of the internship to support savings, Working Days Monday to Friday (Occasional weekend flexibility based on project need) Alternating Saturdays may be working based on workload, Working Hours From 10:00 AM 8 hours a day, excluding breaks, Perks & Benefits You'll Get Hands-on experience in real campaigns and tools Exposure to industry-standard strategies Opportunity to convert into a full-time role (based on performance) Certificate of completion Letter of Recommendation (To High Performers) Public holidays as per yearly planning Flexible hours, Tea and Coffee A decent working environment

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, evaluation, and deployment. Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques. Own the model lifecycle from experimentation to production-grade deployment. Partner with engineering/product teams to translate business needs into scalable AI solutions. Required Skills 7+ years in data science, with 3+ years focused on NLP and LLMs. Proven expertise in fine-tuning large-scale models on enterprise or open datasets. Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies. Experience optimizing inference pipelines for production environments. Strong coding background in Python, PyTorch, and scalable ML architectures. Deep understanding of model alignment, evaluation strategies, and generative QA tasks. Leadership Skills Ability to lead cross-functional teams across data science, MLOps, and software engineering. Experience mentoring junior team members and reviewing model design/code. Strong communication skills to influence technical and non-technical stakeholders.

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: T he AI Models team is looking for exceptional machine learning scientists and engineers to explore and innovate on training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models . You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization . As an early member of the team, you can help us shap e the direction and strategy to fulfill this important charter. THE PERSON: This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance. The ideal candidate will have both theoretical expertise and hands-on experience with developing LLMs, LMMs, and/or diffusion models. We are looking for someone who is familiar with hyper-parameter tuning methods, data preprocessing & encoding techniques and distributed training approaches for large models. KEY RESPONSIBILITIES: Pre-train and post-train models over large GPU clusters while optimizing for various trade-offs . Improve upon the state-of-the- art in G enerat ive AI model architectures, data and training techniques. Accelerate the training and inference speed across AMD accelerators . Build agentic frameworks to solve various kinds of problems Publish your research at top-tier conferences, workshops and/ or through technical blogs. Engage with academia and open-source ML communities. Drive continuous improvement of infrastructure and development ecosystem. PREFERRED EXPERIENCE: Strong development and debugging skills in Python. Experience in deep learning frameworks ( like PyTorch or TensorFlow ) and distributed training tools (like DeepSpeed or Pytorch Distributed ) . Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA). Solid understanding o f various types of transformer s and state space models . Strong publication record in top-tier conferences, workshops or journals. S olid communication and problem-solving skills. Passionate about learning new stuffs in this domain as well as innovating on top of it ACADEMIC CREDENTIALS: Advanced degree ( Master's or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected. Exceptional Bachelor's degree candidates may also be considered . #LI-MK1 Benefits offered are described: . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants needs under the respective laws throughout all stages of the recruitment and selection process.

You have a great opportunity in the manufacturing industry at Udaipur, Rajasthan, India with the following job description: Extensive experience in Embedded C and C++ programming is required for this role. You should have a background in 8-bit, 16-bit, and 32-bit microcontroller-based product design. Experience with RTOS-based programming would be a plus. It is essential to be proficient in digital interfaces like UART, SPI, I2C, DVP (Digital video port), timers, counters, RTC, DFU (Direct Firmware Upgrade), bootloader, camera interfaces, and various display interfaces. Moreover, you should have extensive experience with analog interfaces, including ADC, DAC, PWM, and operational amplifiers. The ideal candidate must be proficient in using firmware development IDEs such as Keil, MPLAB, IAR, STM32CubeMX, etc. Strong experience in protocol design for RS232, RS485, USB, Ethernet, Bluetooth, Wi-Fi, LoRa, etc. would be highly beneficial for this role. With 2-5 years of work experience, this full-time position offers a challenging yet rewarding opportunity to showcase your skills and expertise in embedded systems development.,

About the Role We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML Innovation team. This role focuses on developing cutting-edge solutions using Graph-based Retrieval-Augmented Generation (RAG) and fine-tuning Large Language Models (LLMs) to solve complex business problems and enhance decision-making capabilities. You will work closely with cross-functional teams including data engineers, ML researchers, and product managers to design, implement, and optimize intelligent systems that leverage structured knowledge graphs and advanced NLP techniques. Key Responsibilities Design and implement Graph RAG pipelines for enterprise-scale knowledge retrieval and contextual generation. Fine-tune LLMs (e.g., GPT, LLaMA, Mistral) using domain-specific datasets to improve performance on targeted tasks. Develop and maintain knowledge graphs and embeddings for semantic search and reasoning. Collaborate with engineering teams to deploy scalable AI solutions in production environments. Conduct experiments and evaluations to benchmark model performance and ensure robustness. Stay up-to-date with the latest research in NLP, graph neural networks, and LLM architectures. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Experience in applied machine learning or NLP. Hands-on experience with LLM fine-tuning using frameworks like Hugging Face Transformers, DeepSpeed, or LoRA. Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction. Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices. About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer.

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office J ob Description : We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

As an Embedded Systems Architect specializing in communication and network protocols, you will play a pivotal role in leading the architectural design of embedded systems. Your responsibilities will include designing and implementing protocols for wireless and wired communication, optimizing embedded software for efficient network communication, and collaborating with cross-functional teams to deliver integrated solutions. You will define and document protocol specifications and communication standards, implement error handling and security mechanisms for data transmission, and ensure compliance with industry communication standards. Additionally, you will be involved in detailed design, simulation, and testing of communication protocols in embedded systems, continually assessing and recommending improvements to enhance system performance, reliability, and security. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, along with at least 15 years of proven experience as an Embedded Systems Architect. Your expertise should extend to communication protocols such as TCP/IP, UDP, MQTT, CoAP, Zigbee, Bluetooth, and other relevant standards, as well as proficiency in embedded programming languages like C and C++. Familiarity with real-time operating systems, wireless communication technologies, network security protocols, and debugging and optimization skills in embedded systems is essential. Ideally, you should also have experience with embedded Linux or advanced OS used in networking applications, knowledge of IP-based communication and IoT protocols, and familiarity with network simulation tools. An understanding of QoS mechanisms and traffic prioritization in embedded systems, as well as experience with wireless mesh networks or 5G communication protocols, would be advantageous. In this role, you will provide technical leadership and mentoring to junior engineers, guiding them in embedded systems design and network protocols. Your contributions will be instrumental in driving the performance, reliability, and security of communication systems in industries such as automotive, IoT, telecommunications, and healthcare.,

As a Senior Embedded Firmware Engineer at Qmax systems, you will be responsible for designing, developing, troubleshooting, debugging, and maintaining embedded firmware. Your role will involve realizing system requirements as per requirement specifications, ensuring proper documentation of design specifications, conducting periodic code reviews, fixing bugs, and developing test plans and procedures to validate system functionality. Additionally, you will be expected to perform functional testing/verification, monitor and report progress of development to all stakeholders. To excel in this role, you must possess excellent expertise in C, C++, and Linux, along with experience in BSP and driver development. Strong firmware troubleshooting skills, experience in working with different microcontrollers, and familiarity with high-speed embedded memory interfaces are crucial. Moreover, your expertise in digital communication protocols like USB, I2C, UART, SPI, TCP, UDP, as well as wireless protocols such as BLE, Wi-Fi, ZigBee, LoRa, etc., will be valuable assets. You should also have experience in using common development tools, environments, compilers, debugging software, build management software, source control tools, configuration management, and issue tracking tools. Being adept at writing comprehensive technical design documentation and possessing good interpersonal and communication skills are essential for success in this role. The ideal candidate for this position should hold a B.E/B.Tech. degree in ECE or EEE, have a minimum of 5 years of experience, and be willing to work full-time in Chennai, India. The salary for this position is open to negotiation.,

You should have extensive experience in Embedded C and C++ programming. You should also have experience in 8-bit, 16-bit, and 32-bit microcontroller-based product design. Experience with RTOS-based programming is preferable. You should be proficient in digital interfaces such as UART, SPI, I2C, DVP (Digital video port) timers, counters, RTC, DFU (Direct Firmware Upgrade), bootloader, camera interfaces, and various display interfaces. Additionally, you should have extensive experience with analog interfaces, including ADC, DAC, PWM, and operational amplifiers. It is essential to be proficient in using firmware development IDEs such as Keil, MPLAB, IAR, STM32CubeMX, etc. Moreover, you must have strong experience in protocol design for RS232, RS485, USB, Ethernet, Bluetooth, Wi-Fi, LoRa, etc.,

DUTIES AND RESPONSIBILITIES 1.Design and implement wireless communication systems for command & control (C2), telemetry, video transmission, and payload communication. 2.Select and integrate RF modules, antennas, and wireless protocols suited for UAV use cases (e.g., LoRa, LTE/4G/5G, Wi-Fi, RF mesh, ISM bands, MANET, etc.) 3.Perform RF link budgeting, propagation analysis, and coverage simulations considering range, LOS/NLOS, and environmental conditions. 4.Develop and test redundant communication systems for mission-critical operations. Integrate secured wireless protocols ensuring encryption, authentication, and jamming resistance. 5.Validate communication system performance through field testing, spectrum analysis, and latency/jitter/throughput measurement. Collaborate with avionics, software, and mechanical teams to ensure seamless wireless subsystem integration. 6.Ensure compliance with relevant frequency regulations (WPC/ITU/DoT) and EMI/EMC standards. 7.Debug interference or connectivity issues and work on mitigation techniques (e.g., shielding, filtering, antenna isolation). 8.Maintain documentation for system design, interface specifications, testing, and field reports. Skills Required 1.Strong understanding of wireless communication protocols and modulation techniques (e.g., OFDM, DSSS, FHSS, QPSK, etc.) 2.Hands-on experience with RF hardware, spectrum analyzers, network analyzers, and antenna tuning tools. 3.Experience with antenna design, selection, and placement for airborne systems. 4.Knowledge of network architecture and routing protocols for mesh and multi-hop UAV networks. Familiarity with real-time data links for HD video, telemetry, and control signals. 5.Understanding of RF interference management and co-existence strategies.

You are a highly skilled and innovative Senior Python Developer specializing in Generative AI and MLOps tools such as Argo Workflows and Kubernetes. Your role involves designing and deploying scalable GenAI applications, constructing robust pipelines, and integrating AI models into production environments. As a Python Developer, you will be responsible for designing, developing, and fine-tuning generative models like GPT, LLAMA, Mistral, FLAN, and T5. You will also build and optimize Retrieval-Augmented Generation (RAG) pipelines, implement model evaluation frameworks, and ensure responsible AI deployment. Your expertise in writing efficient, reusable, and testable Python code for AI/ML applications will be crucial in collaborating with data scientists to integrate models into scalable systems and maintaining high-performance Python applications for real-time inference. In the realm of MLOps and Infrastructure, you will develop and manage workflows using Argo Workflows for model training and deployment. Additionally, you will containerize applications using Docker, orchestrate deployments with Kubernetes, and monitor and optimize GPU usage on cloud platforms like AWS, Azure, and Databricks. Collaboration and Delivery are key aspects of your role, as you will work cross-functionally with engineering, product, and data teams to deliver AI solutions. You will interpret research papers and model architecture diagrams to guide implementation, ensuring timely delivery of AI projects with high reliability and scalability. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, AI/ML, or a related field, with at least 4+ years of experience in Python development and data science. Hands-on experience with LLM APIs, Hugging Face, transformer models, and proficiency in deep learning frameworks like PyTorch, TensorFlow, and Keras are essential. A strong understanding of Argo Workflows, Kubernetes, containerization, cloud platforms, GPU optimization, NLP tools, SQL, and Spark will be advantageous. Preferred experience includes fine-tuning models using LoRA, QLoRA, and quantization techniques, building multi-agent systems, multimodal applications, and knowledge of AI safety, ethics, and compliance. Join Tredence, a leading analytics partner dedicated to transforming data into actionable insights for Fortune 500 clients. With a global presence and a mission to drive unparalleled business value through advanced AI and data science, we welcome you to embark on this innovative journey with us.,

Job Summary: AI Engineer Product Integration (LLMs & ML Systems) We are seeking a hands-on AI Engineer with proven experience in building, fine-tuning, and deploying Large Language Models (LLMs) and Machine Learning (ML) systems in production. This is not a research role were looking for someone who can turn models into scalable features, deeply integrated within our Optimiser CRM platform. Youll lead initiatives that turn AI into real value: automating workflows, enriching CRM data, and enhancing decision- making across our client base. This role requires strong engineering fundamentals, model fluency, and the ability to build reliable AI solutions in a multi-tenant environment. Key Responsibilities: AI/ML Development Design and fine-tune LLMs and ML models for specific CRM workflows. Build and optimize data pipelines for training, inference, and evaluation. Implement retrieval-augmented generation (RAG) and context injection strategies. Production Integration Package and deploy models into scalable production systems. Develop APIs and microservices for AI-powered features. Monitor model behavior in production; use telemetry to drive continuous improvement. Architecture & Compliance Ensure AI features adhere to multi-tenant data isolation and privacy standards. Collaborate with product and backend teams to align AI systems with Optimisers architecture. Implement access control, audit logging, and performance monitoring for AI services. Qualifications 2+ years of experience shipping ML/LLM features in a production environment. Strong Python development skills and hands-on experience with ML/LLM libraries (e.g., PyTorch, TensorFlow, LangChain, Hugging Face). Practical understanding of vector search, embeddings, and retrieval systems (e.g., Pinecone, FAISS, Weaviate). Experience deploying models as part of SaaS applications, especially in privacy-sensitive environments. Clear understanding of the ML lifecycle: from development to monitoring and iteration. Preferred (Not Mandatory) Exposure to prompt engineering and model evaluation techniques. Experience with fine-tuning LLMs or working with tools like LoRA, PEFT, or RAG pipelines. Familiarity with agent-based orchestration (e.g., LangChain agents, semantic routers). Understanding of MLOps (model versioning, deployment automation, rollback strategies). Location: Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Design and implement Large Language Models Fine-tune and customize Llama models for domain-specific applications Implement parameter-efficient fine-tuning methods

We're Hiring | Embedded Developers- RF Location: Jaipur | Experience: 3 to 10 Years | Education: BE/B.Tech | Work Mode: Work from Office Are you passionate about technology, energy, and driving business growth? Join Genus Power Infrastructures Ltd. , a leader in smart energy products and Software & Solutions innovations, as we expand our cutting-edge software and solution portfolio in the smart metering space. Role Objective We're looking for a dynamic, entrepreneurial RF Embedded Developer to drive growth for our Smart Metering RF Firmaware Solutions. RF Embedded Developer is overall responisibe for RF development for RF systems and RTOS Concept. Will involve in designing, implementing and optimizing firmware for RF communication systems. Key Responsibilities Design, develop, and maintain firmware for RF systems and components. Implement and optimize firmware using RTOS to ensure real-time performance and reliability. Collaborate with hardware and software teams to integrate firmware with RF hardware and overall system architecture. Perform debugging, testing, and validation of firmware to ensure functionality and performance meet design specifications. Develop and execute test plans and procedures for firmware testing and validation. Conduct performance tuning and optimization of RF firmware to enhance system efficiency. Stay updated with the latest advancements in RF and RTOS technologies and integrate relevant improvements into our products. Create and maintain detailed documentation of firmware design, implementation, and testing processes What You Bring 3 to 10 years of RF development experience in metering industry. Strong networking, presentation, and negotiation skills Skills required Expert Programming Skills in C, C++ language. Experience with wireless communication systems and protocols. Must have excellent debugging skills. Good knowledge of RF engineering and RTOS Good knowledge of IEEE, IETF, Wireless M-Bus standards Experience in RF mesh Wi-SUN, 6TiSCH, Thread, 6LoWPAN etc. communication protocols. Knowledge of cybersecurity principles in embedded systems Why Join Us? Be part of a visionary team shaping the future of energy Access to one of India's best R&D facilities Work on next-gen software platforms with national and global impact Competitive compensation and long-term career growth opportunities

KEY RESPONSIBILITIES: Above average engineering degree in Computer Science, electrical/electronics/communication engineering, or a related field Professional experience in embedded software C/C++ programming Experience in microcontroller-based system development (using products from e.g. Murata, STM32, Renesas, NORDIC processor families) without proprietary OS Experience in one of the wireless protocols LoRaWAN or LPWAN, MQTT, ZigBee, Bluetooth 5.1 supporting BLE protocol, and awareness of IoT infrastructure Good experience in application lifecycle management as codebeamer Experience with low-power design and optimization techniques Experience in low-level microcontroller development, e.g. device drivers, configuring clocking modes, power management and bringing up device Experience with Unit Testing Provide technical leadership and resolve complex technical issues also by guiding and overseeing projects. Development of firmware solutions Architecture definition and design Optimization of software quality, testability and maintainability Collaborate with other software developers and hardware engineers. DESIRED SKILLS: Experience in sensor technology. Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives. Experience with lean/agile software development processes