36 Model Optimization Jobs

Key Responsibilities: Develop, implement, and maintain low-level software platform modules for in-vehicle embedded devices, specifically targeting NPU and other accelerator integration. Design and implement software for efficient deployment, loading, and execution of AI/ML models (including GenAI) on embedded hardware accelerators. Optimize models for real-time performance, memory footprint, and power consumption on constrained embedded systems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Write clean, efficient, and well-documented code following best practices. Participate in code reviews and contribute to team knowledge sharing. Debug and troubleshoot issues in existing applications. Stay updated with the latest industry trends and technologies related to AI/ML and C++ standards for embedded systems. Qualifications: Basic Requirements & Education: Bachelor's degree or similar in Computer Science, Software Engineering, or a related field. Minimum of 2+ years of professional experience in C/C++ programming, including embedded systems development. Proven experience with low-level programming and direct hardware interaction. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Excellent communication skills, both verbal and written. Preferred Skills: Understanding of AI/ML concepts and exposure to AI frameworks (e.g., LiteRT, ONNX Runtime, Executorch, or similar embedded inference engines). Experience with version control systems (e.g., Git). Experience in deep learning.

Key Responsibilities: Develop, implement, and maintain low-level software platform modules for in-vehicle embedded devices, specifically targeting NPU and other accelerator integration. Design and implement software for efficient deployment, loading, and execution of AI/ML models (including GenAI) on embedded hardware accelerators. Optimize models for real-time performance, memory footprint, and power consumption on constrained embedded systems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Write clean, efficient, and well-documented code following best practices. Participate in code reviews and contribute to team knowledge sharing. Debug and troubleshoot issues in existing applications. Stay updated with the latest industry trends and technologies related to AI/ML and C++ standards for embedded systems. Qualifications: Basic Requirements & Education: Bachelor's degree or similar in Computer Science, Software Engineering, or a related field. Minimum of 2+ years of professional experience in C/C++ programming, including embedded systems development. Proven experience with low-level programming and direct hardware interaction. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Excellent communication skills, both verbal and written. Preferred Skills: Understanding of AI/ML concepts and exposure to AI frameworks (e.g., LiteRT, ONNX Runtime, Executorch, or similar embedded inference engines). Experience with version control systems (e.g., Git). Experience in deep learning.

You are seeking an AI Engineer (Level 2 & 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs. Your responsibilities will include designing and developing AI solutions focusing on large language models, experimenting with state-of-the-art Transformer architectures to address complex language understanding and generation tasks. You will leverage modern AI frameworks and tools to develop, fine-tune, and integrate LLMs into applications, ensuring models are optimized and efficient for production use. Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in solutions. Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Deploy and scale models in production environments, implementing MLOps best practices for robust, repeatable model deployments. Utilize cloud services for model training, deployment, and infrastructure management, optimizing resources to handle large-scale training and inference efficiently. Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage. Collaborate with cross-functional teams to integrate AI capabilities into products, ensuring AI systems meet client needs and quality standards. Stay up-to-date with the latest AI research, papers, and trends in the industry, experimenting with new algorithms, models, and techniques to keep solutions at the cutting edge. You should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, plus 4+ years of hands-on experience in AI/ML engineering or a similar role. Strong foundation in deep learning and NLP, experience in transformer-based architectures and large language models is required. Proficiency in Python programming and experience with major AI/ML frameworks and libraries is necessary. Proven experience in developing NLP solutions, model tuning, deployment of machine learning models, and familiarity with deploying in cloud environments is highly desired.,

As a Machine Learning Engineer at our company, you will play a crucial role in designing, developing, and deploying machine learning models to enhance business solutions. Working closely with data scientists, software engineers, and other stakeholders, you will contribute to the creation of scalable machine learning systems that address intricate challenges and boost performance. Your responsibilities will include designing, building, and optimizing machine learning models, preprocessing and transforming data for model training and evaluation, as well as deploying these models in production environments. Collaborating with cross-functional teams will be essential to implement machine learning solutions effectively and continuously monitor and enhance model performance through regular updates. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Additionally, you will be expected to engage in the full sales cycle, achieve monthly targets within the US and Canada Territory, and leverage your skills to provide value to leads without the need for outbound calls. The job offers a unique opportunity to sell management software to directors of SMEs, working on interesting projects with a wide scope including CRM, MRP, Accounting, Inventory, HR, and Project Management. You will have direct coordination with functional consultants for qualification and follow-ups, with high commissions offered to top performers. In terms of job complexity, personal evolution, and job security, this role presents a dynamic and challenging environment with potential for growth and overachievement. You will be part of a team of 10 in a company of 40 individuals, with an average deal size of $15k and a sales cycle lasting 3 months. The company is experiencing significant growth at 50% YoY and is currently profitable. As for benefits, you can enjoy healthcare, dental, vision, life insurance, Flexible Spending Account (FSA), Health Savings Account (HSA), various PTOs including vacation, sick, and paid leaves, commuter benefits, discount programs, and sponsored events such as Tuesday Dinners, Monthly Lunch Mixers, Monthly Happy Hour, and Annual day event. Additionally, the company encourages sport activities, covers expenses for playing sports with colleagues, and provides Peet's and Philz coffee throughout the day along with pantry snacks.,

The Applications Development Intermediate Programmer Analyst position is an intermediate level role where you will be responsible for contributing to the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. Your main objective will be to participate in applications systems analysis and programming activities. Utilizing your knowledge of applications development procedures and concepts, as well as basic knowledge of other technical areas, you will identify and define necessary system enhancements. This includes using script tools, analyzing/interpreting code, and consulting with users, clients, and other technology groups to recommend programming solutions. You will also be involved in installing and supporting customer exposure systems and applying fundamental knowledge of programming languages for design specifications. As an Intermediate Programmer Analyst, you will analyze applications to identify vulnerabilities and security issues, conduct testing and debugging, and serve as an advisor or coach to new or lower-level analysts. You will be responsible for identifying problems, analyzing information, and recommending and implementing solutions. Additionally, you will operate with a limited level of direct supervision, exercise independence of judgment and autonomy, and act as a subject matter expert to senior stakeholders and/or other team members. In this role, you will need to appropriately assess risk when making business decisions, demonstrate consideration for the firm's reputation, and safeguard Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations. You must apply sound ethical judgment regarding personal behavior, conduct, and business practices, as well as escalate, manage, and report control issues with transparency. Qualifications: - 2-5 years of relevant experience in the Financial Service industry - Intermediate level experience in Applications Development role - Clear and concise written and verbal communication skills - Strong problem-solving and decision-making abilities - Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: - Bachelor's degree/University degree or equivalent experience This job description provides an overview of the responsibilities and qualifications for the Applications Development Intermediate Programmer Analyst position. Other duties may be assigned as needed.,

As a Computer Vision Engineer at RNT Health Insights, you will be at the forefront of researching, developing, and implementing spatiotemporal algorithms for detecting and delineating lesions in real-time during endoscopic video feeds. Your role will involve collaborating with a multidisciplinary team of AI researchers, gastroenterologists, and software engineers to enhance both spatial and temporal accuracy in lesion detection. You will be responsible for designing preprocessing pipelines, optimizing models, and ensuring low latency, high-performance deployment in clinical settings. Key Responsibilities - Algorithm Development: Research, develop, and implement spatiotemporal techniques combined with CNN and other spatial models for real-time lesion detection in endoscopic video streams. - Temporal Analysis: Investigate and apply state-of-the-art techniques (e.g., LSTMs, 3D CNNs) to model temporal dependencies in video-based data for improved lesion tracking and detection. - Model Integration: Integrate temporal models with existing CNN-based spatial models to create efficient, end-to-end pipelines for real-time inference during endoscopy procedures. - Preprocessing & Inference Pipelines: Design and implement robust video preprocessing (e.g., frame extraction, image enhancement, noise reduction) and inference pipelines that ensure smooth integration with endoscopic hardware and software systems. - Post-processing Optimization: Work on post-processing techniques to improve lesion localization, classification, and segmentation accuracy, and ensure consistent performance in different clinical settings. - Model Optimization: Fine-tune models for deployment on constrained hardware platforms, ensuring low-latency performance without compromising accuracy. - Collaborative Research: Collaborate with research teams to explore and incorporate cutting edge temporal models, multi-frame fusion techniques, and domain-specific innovations in medical video analysis. - Performance Benchmarking: Benchmark models against datasets, assess performance (accuracy, speed, robustness), and optimize for real-time clinical use. Qualifications And Expectations - Bachelor's/ Master's/ PhD in Computer Science, Electrical Engineering, or closely related fields with a focus on Artificial Intelligence, Machine Learning, or Computer Vision. - Strong foundation in computer vision principles, including image processing techniques, feature extraction methodologies, and neural network architectures. - Proficiency with deep learning frameworks such as TensorFlow, Keras, or PyTorch. - Proficiency in programming languages, particularly Python and C++, with the ability to write clean, efficient, and well-documented code. - Solid grasp of machine learning algorithms and methodologies, including experience with real-time inference and model optimization for deployment in resource-constrained environments. - Ability to engage with and interpret relevant scientific literature, staying updated on the latest advancements in computer vision and machine learning as they apply to medical applications. - Ability to communicate ideas clearly and effectively, both in oral and written formats. - Self-motivated individual who works well in a team, and is open to giving and receiving honest feedback. If you are passionate about computer vision and eager to contribute to cutting-edge healthcare technology, we would love to hear from you!,

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

The Director of AI & Computer Vision at GalaxEye will play a crucial role in spearheading artificial intelligence and computer vision initiatives within the company. Your primary responsibility will involve developing cutting-edge algorithms that aim to extract actionable intelligence from satellite imagery. By creating innovative AI & CV algorithms from scratch or modifying existing models, you will contribute to positioning the company as a leader in space-based AI applications. In this leadership role, you will lead the research and development of foundation models tailored specifically for satellite image analysis and geospatial applications. Additionally, you will be tasked with designing and implementing robust MLOPS pipelines to facilitate continuous model enhancement and seamless deployment. Your role will also involve mentoring and guiding a team of AI & CV engineers to execute the technical roadmap and deliver groundbreaking solutions. Regular communication with stakeholders will be essential, as you will conduct monthly reviews to update them on progress, results, and strategic insights. Furthermore, you will have the opportunity to showcase GalaxEye's innovations by publishing research papers and representing the company at prominent AI/CV conferences through presentations, panel participation, and networking. To excel in this role, you should possess a minimum of 5 years of experience in developing, training, and deploying advanced AI models, with a preference for foundation models designed for large-scale computer vision tasks. Demonstrated leadership skills in managing AI R&D teams focused on scalable model development and deployment are crucial. A strong track record of publishing papers in reputable conferences and contributing novel research to the AI/CV domain is highly valued. Deep familiarity with machine learning frameworks and model optimization, as well as excellent communication skills, are essential for success in this position. Prior experience in developing AI models for satellite imagery and geospatial analytics would be advantageous and considered a plus. By fostering a culture of innovation and continuous learning within the team, you will play a key role in driving forward GalaxEye's AI and computer vision initiatives.,

Roles & Responsibilities: Engineer end-to-end ML pipelines data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. Harden research code into production-grade micro-services , packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications. Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency. Optimise performance and cost at scale selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets. Instrument comprehensive observability real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics enabling rapid diagnosis and continuous improvement of live models and applications. Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams. Contribute reusable platform components feature stores, model registries, experiment-tracking libraries and evangelise best practices that raise engineering velocity across squads. Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. Partner with data scientists to prototype and benchmark new algorithms , offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs. Must-HaveSkills: 3-5 years in AI/ML and enterprise software. Comprehensive command of machine-learning algorithms regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques with the judgment to choose, tune and operationalise the right method for a given business problem. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e. g. , LangChain, Semantic Kernel). Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong business-case skills able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master s degree in Computer Science and or Data Science Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. Education and Professional Certifications Master s degree with 6-11 + years of experience in Computer Science, IT or related field OR Bachelor s degree with 8-13 + years of experience in Computer Science, IT or related field Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc. ) are a plus. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills.

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

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrowpeople with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description JOB SUMMARY This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale. Responsibilities The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine. They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application. They are also going to need to be on call on weekends to bring the application back online in case of failure. Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models. Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization. Designs workflows and analysis tools to streamline the development of new ML models at scale. Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles. Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field. Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems. Qualifications Requirements: Ability to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs. ????? Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment. Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems. Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills. Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features. Experience with scalable data processing, feature development, and model optimization. Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models. Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory. Works collaboratively, both in a technical and cross-functional context. Strong written and verbal communication. Bachelors (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

As an AI Computer Vision Engineer with 4+ years of experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, and face recognition. You will optimize models for performance on edge devices and apply data augmentation techniques to image/video datasets. Additionally, you will need proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Your role will involve hands-on implementation of machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms. Understanding image processing concepts and experience in model optimization, quantization, or deploying to edge devices will be essential. You should have strong programming skills in Python (or C++) and expertise in implementing and optimizing machine learning pipelines for seamless integration into production systems. Experience with real-time computer vision applications, OpenCV, NumPy, PyTorch/TensorFlow, and computer vision models like YOLOv5, Mask R-CNN will be beneficial. Engaging with multiple teams, contributing to key decisions, and providing solutions that apply across multiple teams are expected from you. You will lead the implementation of large language models in AI applications and research cutting-edge AI techniques to enhance system performance. Contribution to the development and deployment of AI solutions across various domains is also part of your responsibilities. In terms of requirements, you should design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection, and named entity recognition. Evaluating and integrating third-party OCR tools, developing pre-processing and post-processing pipelines for image/text data, and familiarity with video analytics platforms are necessary skills. Experience with MLOps tools, academic CV research, and knowledge of GPU acceleration or hardware integration will be advantageous for this role.,

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelors/Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 35 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of Indias most diversified Non-banking financial companies, and among Asias top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations were present in India. Skills: edge ai deployment,adaptation,speech emotion recognition,llm fine-tuning,tensorflow,models,intelligence,model optimization,speech,speech-to-speech,data,openai,hugging face,llm,optimization,agents,langchain,pytorch,python Show more Show less

You will be joining our team as a skilled Deep Learning Engineer with expertise in object detection and segmentation models. Your primary responsibilities will include implementing and refining object detection models such as YOLOvX, Faster R-CNN, EfficientDet, SSD, and Mask R-CNN. Additionally, you will work on real-time computer vision applications, optimize performance, annotate and prepare datasets, and collaborate on research and development projects to enhance model performance and robustness. As a Deep Learning Engineer, you will be expected to deploy models using Docker on Linux/Windows systems, with experience in edge deployment considered a plus. It will be essential for you to document code, experiments, and deployment processes while collaborating with cross-functional teams. Strong Python programming skills, knowledge of TensorFlow, PyTorch, OpenCV, and ONNX, as well as hands-on experience with Docker and familiarity with model optimization techniques like quantization and pruning are required for this role. An advantage would be your experience in edge deployments using platforms such as NVIDIA Jetson, TensorRT, and OpenVINO. Additionally, familiarity with experiment tracking tools like MLflow or Weights & Biases is a plus. The qualifications we are looking for include a Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field, along with strong analytical, problem-solving, and team collaboration skills. This is a full-time position with a day shift schedule that requires in-person work at our location.,

As a Research Associate in Machine Learning / Deep Learning at our location in Kollam, Kerala, you will be responsible for conducting original research in the field of machine learning (ML) and/or deep learning (DL) to meet the project objectives. Your role will involve designing, developing, and optimizing ML/DL algorithms and models specifically for time series analysis of skilled and unskilled movement patterns captured using smart gloves. Collaboration with interdisciplinary teams of researchers to contribute to publications, reports, and technical documentation will be a key aspect of your work. Additionally, you will assist the Principal Investigator (PI) in research dissemination and ensuring compliance with funding-related requirements. To excel in this role, you should possess a B-Tech qualification and have a passion for research in machine learning and deep learning. The deadline to apply for this position is July 26, 2025.,

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Develop and deploy machine learning, deep learning and NLP models for AI applications. Process and analyze large datasets, including feature extraction, vectorization, and embedding-based retrieval. Build and maintain backend systems and APIs to support AI-powered applications. Implement scalable AI solutions in cloud environments, primarily AWS. Develop end-to-end pipelines for model training, testing, and deployment using AWS services such as SageMaker, Bedrock, Lambda, and Step Functions. Optimize AI models for efficiency, scalability, and low-latency inference. Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models. Document system architecture, API specifications, and performance benchmarks. Stay up to date with advancements in AI, including LLMs, FAISS, and deep learning frameworks, to drive innovation. Required Skills & Qualifications: Hands-on experience in AI/ML development, with expertise in natural language processing (NLP) and/or computer vision. Proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Strong understanding of LLM architectures, embeddings, and transformer-based models. Hands-on experience processing large datasets, including feature engineering, embedding retrieval, and vectorization. Experience with Cloud Services (Preferably AWS) for model deployment, data processing, and cloud-based AI solutions. Strong grasp of MLOps principles, including CI/CD pipelines, model monitoring, and workflow automation. Strong analytical and problem-solving skills with a proactive approach to AI model optimization. Excellent communication and teamwork skills to collaborate effectively with engineers, data scientists, and stakeholders. Key Technologies & Tools: Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Hugging Face Data Processing & Feature Engineering: Vectorization, Embeddings, FAISS Cloud & AI Services: AWS SageMakerAI, Bedrock, Lambda, Step Functions, Inference MLOps & Model Deployment: CI/CD, Model Optimization, API Integration Workflow Automation & AI Infrastructure Key skills: Machine Learning, Deep Learning, Python, SQL, TensorFlow, PyTorch, Hugging Face, AWS SageMakerAI, Lambda, Model Optimization, API Integration, AI Infrastructure

Role Details: Position: AI Lead Location: Hyderabad, Telangana, India Key Responsibilities: Spearhead the end-to-end development, deployment, and continuous optimization of cutting-edge AI/ML systemsGenerative AI, LLMs/MLLMs, RAG, autonomous agents, and custom MCP servers in production Architect and implement scalable Retrieval-Augmented Generation pipelines, multi-modal transformer systems, and autonomous multi-agent frameworks (LangChain, AutoGPT, BabyAGI, NVIDIA NeMo Agents) Lead deep-learning model design and delivery: ANN, CNN, RNN, LSTM/BiLSTM, attention-based Transformers (BERT, GPT, T5, Vision Transformers), GANs, VAEs, Diffusion models, and Mixture-of-Experts architectures Define and enforce best practices for prompt engineering, fine-tuning (LlamaIndex, Hugging Face), quantization (INT4, GGUF), pruning, distillation, and advanced inference optimizations Build and maintain robust MLOps pipelines: CI/CD (Git, Bitbucket, automated tests), model versioning (MLflow, Hugging Face Hub & LFS), Docker/GPU containerization, Kubernetes/OpenShift orchestration, Terraform infrastructure as code Design high-performance data engineering workflows: ETL optimization (Pandas, NumPy, Spark), real-time streaming (Kafka, RabbitMQ), and caching strategies (Redis) Ensure secure, compliant AI deployments by embedding Responsible AI principles (bias mitigation, transparency, privacy), governance frameworks, and regulatory controls. Monitor emerging research (self-supervised pre-training, federated learning, synthetic data, LLMOps) and integrate top innovations into production Collaborate closely with Product, DevOps, Data Engineering, and Security teams; mentor and guide engineers and data scientists in software engineering and model validation best practices Required Qualifications: Education: Masters or PhD in AI/ML, Computer Science (AI/ML specialization), Data Science, Mathematics, or related field Industry Experience: 15+ years in AI/ML roles, including 710 years hands-on in Generative AI and Deep Learning, plus 5+ years in senior or leadership positions Hands-On Coding & Deployment: Expert at architecting, writing, debugging, deploying, and optimizing production-grade AI/ML code in Python (primary), C++, R, Java/Spring Boot, with strong testing, code-review, and performance-profiling discipline Deep Learning & Generative AI Frameworks: Advanced usage of PyTorch, TensorFlow, ONNX, GGUF, Hugging Face Transformers & Diffusers; fine-tuning pipelines (LlamaIndex, custom scripts) Large Language & Multimodal Models: Production deployment of LLMs, Multimodal LLMs (vision-language models, cross-modal understanding), RAG systems, and custom MCP A2A servers; embedding management & vector search with Pinecone, Milvus, Chroma, Quadrant Advanced Model Optimization: Quantization, pruning, distillation, MoE routing, efficient inference strategies, prompt-engineering platforms (LangSmith, PromptFlow) Classical & Advanced ML: Proficiency in regression, decision trees, random forests, SVM; boosting (XGBoost, CatBoost, LightGBM); clustering (K-Means, DBSCAN, hierarchical); RL (Q-Learning, DDPG, PPO); statistical methods and optimization math Computer Vision & Document Processing: Expertise in OpenCV, PyMuPDF, python-docx/pptx, pytesseract for advanced text/image extraction and analysis Cloud & Infrastructure: GPU acceleration (CUDA, cuDNN); AWS (Bedrock, SageMaker), Azure AI Studio & GPU Containers, GCP (Vertex AI, Cloud Run), serverless AI, NVIDIA Triton Inference Server Backend & APIs: FastAPI, OpenAPI, Django REST Framework, Flask for building and scaling AI microservices Data Engineering & Storage: ETL pipelines, streaming, caching; relational (MySQL, Oracle SQL), NoSQL (MongoDB), vector DBs MLOps & Observability: MLflow, Kubeflow; Docker, Kubernetes, OpenShift; CI/CD (Git, Bitbucket); monitoring with Prometheus, Grafana, OpenTelemetry, Logstash, Kibana Security & Compliance: Secure coding, network security, and adherence to GDPR, HIPAA, GxP standards Industry Certifications & Research: Must hold at least one recognized AI/ML certification (e.g. AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate) and have published research papers in top-tier AI/ML conferences or journals (NeurIPS, ACM, arXiv, AAAI, JMLR). Good to Have Skills: PhD-level publications and advanced certifications (Stanford AI, MIT, AWS, Google) Experience with federated learning, synthetic data generation, privacy-preserving ML (differential privacy, homomorphic encryption), and edge/in-device inference (TensorFlow Lite, CoreML) Familiarity with Responsible AI toolkits, model cards/DataCard’s, and AI risk management frameworks Significant open-source contributions to major AI/ML projects Proven success integrating AI in regulated industries (Texting/Messaging, pharma, healthcare, finance) Industries and disciplines. How to Apply: If you are a passionate developer who loves coding and thrives in an innovative startup environment, apply now to join our journey in revolutionizing communication! Apply here or email to join@beetexting.com

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company in Vadodara, Gujarat, you will play a crucial role in the Software Development team focusing on IVA/Computer Vision. With a minimum of 2 years of experience and a degree in B.E/B.tech/M.E/ M.tech in EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE, or related fields, you will have the opportunity to work on cutting-edge projects that leverage deep learning and computer vision techniques to extract meaningful insights from video streams. Your day-to-day responsibilities will involve collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow. You will lead and mentor a team of engineers, participate in design reviews, integrate video analytics solutions with existing systems, and execute AI algorithms using various platform-specific frameworks like TensorRT and TensorFlow Lite. Additionally, you will research new technologies and methodologies to enhance video analytics capabilities and document your work through code documentation and technical reports. The ideal candidate for this role will have a strong foundation in Deep Learning/Computer Vision projects, with expertise in neural networks, CNN, model training strategies, and deep learning frameworks such as Tensorflow, PyTorch, or Keras. Good programming skills in Python and C++, along with experience in projects like Object Detection, Motion Detection, and Face Recognition, will be beneficial. You should also possess the ability to optimize deep learning models for embedded form factors and have a thirst for continuous learning and advancement in the field. Joining our team will provide you with the opportunity to work for an Indian Tech Company that creates innovative products for a global audience. You will be part of a challenging and rewarding environment, receive a competitive salary and other benefits, and enjoy a generous leave schedule, including company-paid medical insurance for the whole family. If you are an innovative and tech-savvy individual looking to make a significant impact in the field of computer vision and AI, we encourage you to apply and be part of our dynamic team.,

As a Generative AI & LLM expert, you will be responsible for supporting the AI and ML team in designing, developing, fine-tuning, and deploying large language models and generative AI applications. This role offers a unique opportunity to work with state-of-the-art AI technologies and enhance your skills in machine learning, natural language processing, and deep learning. Your primary responsibilities will include architecting robust systems to integrate LLMs and support retrieval workflows, providing guidance on the use of Vector DBs and model deployment on cloud platforms, optimizing the fine-tuning process for business-specific LLM use cases, and designing applications with on-premise/cloud-based LLM, RAG, Langchain. Key skills required for this role include model training & fine-tuning, data preparation & preprocessing, prompt engineering, model evaluation & optimization, collaborating with cross-functional teams, documentation & reporting, managing and training LLM models, and generating embeddings and managing semantic search via Vector DBs. To qualify for this position, you should have completed a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Additionally, you should have at least 7+ years of experience in building ML pipelines, feature engineering, or deploying models/LLMs on cloud platforms. Other skills considered include experience with machine learning pipelines, model optimization, feature engineering, proficiency in database indexing, familiarity with deploying ML models in cloud environments, leadership skills, and strategic thinking. If you are passionate about working with cutting-edge AI technologies and have a strong background in machine learning and deep learning, we encourage you to apply for this role in our Product Engineering category. You can submit your application by filling in your name, email, phone number, and attaching your resume. We look forward to potentially welcoming you to our team and collaborating on innovative AI projects.,

As an AI/ML Engineer at Left Right Mind, you will be part of our dynamic team working on cutting-edge GenAI solutions and deploying large language models (LLMs) for real-world applications. Your primary responsibilities will include developing and deploying AI/ML models to address business challenges, optimizing LLMs for specific domains, and building end-to-end ML pipelines encompassing data preprocessing, training, and evaluation. Additionally, you will work with both structured and unstructured data to extract valuable insights and collaborate closely with engineers to bring models into production effectively. We expect you to stay abreast of the latest advancements in GenAI, RAG, and LLM research, leveraging tools such as LangGraph, Autogen, TensorFlow, and PyTorch. Experience with deploying solutions on cloud platforms like AWS, Azure, or GCP using Docker/Kubernetes will be beneficial. The ideal candidate should possess a minimum of 4 years of experience in AI/ML, demonstrate proficiency in Python programming and ML frameworks, and have hands-on experience with LLMs like OpenAI GPT, Gemini, or Claude. Moreover, familiarity with NLP, feature engineering, and model optimization, along with strong problem-solving and teamwork skills, are highly valued traits in this role. At Left Right Mind, we foster a culture of exploration, inquiry, and innovation. Our work is purpose-driven and fueled by curiosity. If you are passionate about pushing the boundaries of AI/ML and eager to contribute to impactful projects, we encourage you to apply by filling out the form: [Application Form](https://lnkd.in/dtdBVTHE). For any inquiries or additional information, feel free to contact varad.deshpande@leftrightmind.com.,

We are hiring experienced AI Engineers for a full-time, 6-month on-premise role in Bengaluru (Electronic City) The role involves working on AI/ML solutions with open-source LLMs such as LLaMA, DeepSeek, and Mistral Strong Python programming skills, including data structures and algorithmic problem-solving, are essential Candidates must be comfortable deploying models on-premise and solving system-level challenges in Python Fine-tuning of LLMs, performance optimization, and working in Linux environments are desirable The role is hands-on and requires excellent analytical thinking and full-time office presence

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

Key Skills: Machine Learning, Data Engineering, Python, TensorFlow, PyTorch, Statistical Analysis, Cloud Platforms (AWS/GCP/Azure), Data Structures, Big Data, ML Frameworks, Model Optimization, Predictive Modeling. Key Responsibilities: Develop and implement data-driven ML predictive models to advance intelligent automation and reporting. Assess, analyze, and organize large datasets to extract meaningful insights. Execute tests to validate machine learning models and algorithms. Optimize machine learning models for improved performance and accuracy. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Monitor and maintain machine learning models to ensure ongoing accuracy and efficiency. Research and stay updated on the latest advancements in machine learning and ML techniques and applications. Document processes, methodologies, and model performance for transparency and reproducibility. Troubleshoot and resolve issues related to machine learning model deployment and operation. Mentor and provide technical guidance to junior engineers, sharing best practices and fostering a culture of continuous learning. Experience Requirement: 6-13 years of experience in machine learning, data engineering, or software development. Strong programming skills and proficiency in languages commonly used for ML and related tasks. Big Data skills and proficiency in data structures, modeling, and visualization. Proven background in statistical analysis and data analysis to support model training and evaluation. Excellent communication skills for working with stakeholders and translating technical concepts. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with production-quality code. Strong background in statistics, mathematics, and data science. Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models at scale is a plus. Education: Any Post Graduation, Any Graduation.

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,