The DevOps Engineer bridges the gap between development and the networking areas of focus, main areas of focus are around low-level infrastructure and monitoring of all company services. This role shares ownership of the build and deployment pipelines of our products, advising in the product and application development as necessary. Full-time | Hybrid - 3 days in office | Based out of Hyderabad, India Rs.12-20LPA (based on experience) Essential Duties and Responsibilities include the following. Other duties may be assigned. Guide teams in design, build, test and deployment of changes to existing software. Identify manual processes, recommending automation, implementing automated infrastructure capabilities like backups, security tools, and monitoring. Collaborate on requirements with internal and external clients, providing a high level of service and using sound judgement when making or influencing the decisions of others. Understand the SDLC and automation tools and framework. Assist with implementation and management of the CI/CD pipelines to contribute to the overall product roadmaps of both internal and external 3rd party systems by providing seamless build and deployment processes. Tune monitoring of application, systems, or AWS metrics, improving our internal automation, through the use of “Infrastructure as Code” tools. Identify and build in-application metrics. Assist with identifying and debugging of production issues, resolve, and work to prevent their reoccurrence. Maintain a consistent DevOps approach to improve all phases of processes, ensuring end to end quality across functions. Other duties as assigned by management. Must be able to take direction and work well with others. Must be able to work under the stress of deadlines. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering or similar relevant field; 1 year of experience in developing/engineering applications OR combination of education and experience. To perform this job successfully, an individual should have knowledge of Word Processing software; Spreadsheet software and Design software. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to effectively present information to top management, public groups, and/or boards of directors. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally required to stand; walk and sit. The employee must occasionally lift and/or move up to 10 pounds. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Foundation Finance Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. These benefits are designed to support our employees in their professional growth, health, and overall well-being. Eligibility, coverage details, and enrollment processes will be provided during the onboarding process. At Foundation Finance Company, we are committed to fostering a positive work environment where employees can thrive both personally and professionally. Show more Show less

About Eternal Robotics – Hypervise Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical. Role Overview We are looking for a Computer Vision Engineer – II with 3–6 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments. You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance. Key Responsibilities 1. Model Development & Testing Build and optimize deep learning models for object detection, segmentation, and classification. Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models. Validate model accuracy against customer specifications and datasets. 2. CV Pipeline Implementation Develop modular and maintainable computer vision pipelines using Python. Integrate pre-processing, inference, and post-processing components for edge and server-side deployments. 3. Hardware & Deployment Support Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment. Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting. 4. Testing & Quality Assurance Write and execute test cases to ensure system functionality and robustness in diverse environments. Collaborate with QA and support teams to resolve performance issues. 5. Documentation & Collaboration Document architecture, model performance, and system configurations. Participate in code reviews and peer programming sessions. Coordinate with team leads and project managers to align with delivery timelines. Qualifications & Experience Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus. Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments. Key Technical Skills Proficiency in Python and OpenCV. Experience with deep learning libraries: PyTorch, TensorFlow, Keras. Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation. Working knowledge of Linux environments, Git, and basic shell scripting. Experience with Jetson Nano/Xavier, DeepStream SDK is preferred. Understanding of camera configuration, lighting setups, and imaging constraints. Experience deploying models on edge or embedded devices is a strong advantage. Soft Skills Strong debugging and problem-solving skills. Team player with a willingness to learn and adapt. Effective communicator capable of interfacing with both engineering and customer teams. Disciplined in documentation and reporting. Why Join Hypervise? Build solutions that are deployed across real industrial environments. Work alongside passionate technologists in a startup culture. Access to advanced tools, data, and edge-AI hardware. Be part of a company leading the industrial AI revolution. Show more Show less

Job Description Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Data Engineering: Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF) Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs) Experience in Elastic Search and Apache Solr is a plus, vector databases. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Show more Show less

Join our Team Ericsson’s R&D Data team is seeking a motivated and self-driven Machine Learning Engineer with a strong foundation in designing, developing, and deploying machine learning models. This role sits at the intersection of data science, software engineering, and data engineering—focused on building scalable AI solutions that integrate into real-world production systems. You'll join a team of high-performing engineers building end-to-end SaaS solutions, where adaptability, a data-centric mindset, and strong technical skills are key to success. Responsibilities: Assist in designing, developing, and optimizing machine learning models for real-world applications. Contribute to the ML model lifecycle: data preprocessing, feature engineering, training, evaluation, and deployment. Work with AWS SageMaker and other cloud-based tools to train and deploy models. Collaborate with data engineers to build reliable and scalable data pipelines for ML training and inference. Work with event streaming platforms (e.g., Amazon MSK or equivalent) for real-time data ingestion and processing. Partner with senior engineers and data scientists to align ML solutions with business and product goals. Help integrate models into production environments and monitor their performance. Support automation of model retraining and deployment using MLOps tools and CI/CD pipelines. Stay up to date with the latest ML and data engineering technologies to bring best practices to the team. Requirements: 5+ years of experience in machine learning, deep learning, or AI-related fields. Bachelor's degree in Computer Science, AI, Data Science, or a related field. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with cloud services (e.g., AWS SageMaker, S3, Lambda) is a plus. Familiarity with ML model architectures (e.g., CNNs, RNNs, Transformers) and training techniques. Exposure to MLOps practices (e.g., CI/CD, monitoring, model versioning). Experience working with real-time data streaming platforms (e.g., Amazon MSK, or similar). Familiarity with data engineering tools and practices (e.g., building ETL pipelines, using Spark, Airflow, or similar). Strong analytical thinking and a collaborative mindset with a desire to grow technically. Show more Show less

Join our Team As the technology firm that created the mobile world and a rich history of 145 years of building ground-breaking solutions and innovative technologies supported by 60,000+ patents, Ericsson has made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you are welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Ericsson Enterprise Wireless Solutions (BEWS) is the group responsible for leading Ericsson’s Enterprise Networking and Security business. Our growing product portfolio spans across wide area networks, local area networks and enterprise security. We are the #1 global market leader in Wireless-WAN based enterprise connectivity solutions and are growing fast in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. You will Develop scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use Generative AI and predictive modeling to enhance customer experiences, revenue generation and other business outcomes. You must have Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration. Ability to perform EDA and visualize the data. Aptitude and skills in Machine Learning, e.g., Natural Language Processing, Bayesian model, Deep Learning, and Large Language Models. Strong programming skills in Python, SQL. Strong understanding of DSA. Strong ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch and Spark. Familiarity with Linux/OS X command line, version control software (git), and general software development. Familiarity with APIs Experience in programming or scripting to enable ETL development. Familiarity with relational databases and Cloud (AWS). Understanding of Reinforcement Learning and Causal Inference will be preferred. Qualifications B.Tech or B.E. or M.Tech or MS in Computer Science / Masters in Mathematics / Statistics from a premium institute Minimum 4 – 6 years of experience in relevant role Why Ericsson Enterprise Wireless Solutions? At Ericsson Enterprise Wireless Solutions, we are one team - all in on inclusion. Celebrating the uniqueness of our individual team members across the globe helps us build diverse teams where we all can thrive. Our connected, community-focused culture enables each one of us to perform at our best and fully be ourselves. Please note: Ericsson Enterprise Wireless Solutions does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Ericsson Enterprise Wireless Solutions employees. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.mana@ericsson.com DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: India (IN) || Bangalore Job details: Data Scientist (Techn) Show more Show less

Job Title: Machine Learning Engineer Location: Hybrid Job Type: Full-time About Us: Ralliant is at the forefront of leveraging data and AI technologies to drive innovation across Precision Tech Industries. We aim to solve real-world challenges by combining advanced machine learning, cloud computing, and generative AI to deliver cutting-edge solutions. We’re looking for a talented and passionate MLE to join our dynamic team and help us continue to push the boundaries of AI. Model Deployment & MLOps: Design, build, and maintain machine learning pipelines, ensuring continuous integration and deployment (CI/CD) of models in production environments. Deploy machine learning models as APIs, microservices, or serverless functions for real-time inference. Manage and scale machine learning workloads using Kubernetes, Docker, and cloud-based infrastructure (AWS, Azure, GCP). Automation & Scripting: Automate routine tasks across the ML lifecycle (data preprocessing, model training, evaluation, deployment) using Python, Bash, and other scripting tools. Implement automation for end-to-end model management and monitor pipelines for health, performance, and anomalies. Cloud Platforms & Infrastructure: Utilize cloud platforms (AWS, Azure, GCP) to optimize the scalability, performance, and cost-effectiveness of ML systems. Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources effectively. Data Pipelines & Integration: Build and maintain robust data pipelines to streamline data ingestion, preprocessing, and feature engineering. Work with both structured and unstructured data sources and databases (SQL, NoSQL) to feed data into ML models. Monitoring, Logging & Troubleshooting: Set up monitoring and logging systems to track model performance, detect anomalies, and maintain system health. Diagnose and resolve issues across the machine learning pipeline and deployed models. Collaboration & Communication: Collaborate closely with data scientists, software engineers, and business stakeholders to ensure machine learning models meet the required business objectives and performance standards. Effectively communicate complex ML concepts and technical details to non-technical stakeholders. GenAI & AI Agents Expertise: Stay up to date with the latest trends in Generative AI (e.g., GPT models, Diffusion models) and AI agents, and bring this expertise into production environments. Design and deploy advanced GenAI solutions, ensuring they are aligned with business needs and ethical AI principles. Security & Compliance: Implement robust security measures for machine learning models and ensure compliance with relevant data protection and privacy regulations. Address vulnerabilities, ensuring safe and secure deployment of models in production environments. Optimization & Cost Management: Optimize machine learning resources (compute, memory, storage) to achieve high performance while minimizing operational costs. Regularly review and improve the efficiency of machine learning workflows. Testing & Validation: Develop and execute rigorous testing and validation strategies to ensure the reliability, accuracy, and fairness of deployed models. Use automated testing frameworks to continuously validate model performance. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience (3+ years) in machine learning engineering, MLOps, or related fields. Experience with deploying and managing machine learning models in production using tools like Kubernetes, Docker, and CI/CD pipelines. Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (Terraform, CloudFormation). Strong coding experience in Python, Bash, or other scripting languages. Expertise in Generative AI models (e.g., GPT, GANs) and their deployment at scale. Experience working with databases (SQL, NoSQL) and building data pipelines. DevOps & CI/CD: Knowledge of DevOps tools and practices, including version control (Git), automated testing, and continuous integration/deployment. AI Agents: Familiarity with the latest AI agent frameworks and their deployment in real-world applications. Data Science Concepts : Solid understanding of GenAI,NLP, Computer Vision, machine learning algorithms, data structures, and model evaluation techniques. Problem-Solving: Strong troubleshooting and debugging skills to quickly identify and fix issues within ML pipelines and deployments. Collaboration & Communication: Excellent communication skills with the ability to work in a cross-functional team and explain technical concepts to non-technical stakeholders. Preferred Qualifications: Certification in Cloud Technologies (AWS, Azure, GCP) and MLOps platforms. Experience with large-scale ML systems and distributed computing. Understanding of ethical AI practices and AI fairness. Familiarity with cutting-edge AI technologies like reinforcement learning, AI agents, and deep learning. Technical Skills: Proficiency in Python, R, or other relevant programming languages. Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience with SQL and cloud-native data processing tools (e.g., AWS Redshift, Azure Synapse, Spark). Familiarity with DevOps practices and CI/CD pipelines for ML model deployment. Soft Skills: Strong communication skills with the ability to translate complex technical concepts into business-friendly language. Problem-solving mindset, with the ability to approach challenges creatively and collaborate with diverse teams. Leadership potential or experience mentoring junior team members. Preferred Qualifications: Certification or training in AWS (e.g., AWS Certified Machine Learning), Azure, or other cloud services. Experience working with containerization technologies like Docker and Kubernetes for model deployment. Exposure to the latest trends in AI ethics, explainability, and fairness. Company Overview: Join a dynamic and innovative team at Ralliant, a leader in producing high-tech measurement instruments and essential sensors. Our brands, including Tektronix, Qualitrol, Sensing Technologies and Pacific Scientific, are at the forefront of technological advancements, providing critical products that drive innovation across various industries. At Ralliant, we are committed to excellence and continuous improvement, delivering top-tier solutions that meet the evolving needs of our Operating Companies These Are The Traits We Value: You are collaborative, proactive, adaptable, and gritty. You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results. Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team. Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking. Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear “right answer”. Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors. Positive Outlook: A desire to look past the objections in search of the opportunity. Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view. A need for speed; demonstrated ability to make decisions quickly and to act upon them. Alongside a team of entrepreneurial, high-performing, curious people, you’ll deliver breakthrough solutions to drive sustainable growth for Ralliant Bonus or Equity This position is also eligible for bonus as part of the total compensation package. Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth. About NewCo Bonus or Equity This position is also eligible for bonus as part of the total compensation package. This position is also eligible for bonus as part of the total compensation package. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary Qualcomm is a company of inventors that unlocked AI on Edge - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Multimedia Systems Group to work in the area of Low Power ML Accelerator, developing embedded software for next generation low power NPU. You will be part of the Multimedia Systems and R&D team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms. Responsibilities The candidate will be expected to work with a team of engineers to design, implement, integrate, and test kernels for ML operators for Qualcomm's Low power ML accelerator. Design, implement, integrate, and test kernels for ML operators for HW accelerator. Create test framework for tracking performance and power metrics. Work closely with other teams for ML model offload system integration, use case testing and commercialization support. Requirements Strong programming skills in C/C++, Python Expertise in developing and debugging software on embedded platforms. Knowledge of ML operators such as Transformers, LSTM, GRUs.. Knowledge of software design patterns and multi-threaded programming, Eg POSIX Knowledge of computer architecture, operating systems, data structures, and basic algorithms knowledge of fixed-point coding Knowledge of any ML frameworks pytorch, tensorflow.. Knowledge of Model quantization and compression techniques is a plus. Working on ML inference optimizations is a plus. Experience working on any AI HW accelerator (NPU) is a plus. Proven ability to work in a dynamic, multi-tasked environment. Self-starter who likes to be challenged and solve tough complex issues. Educational Qualification Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3074352 Show more Show less

Rotex, a world leader in industrial separation equipment, is seeking to fill a position for a Development Engineer in our Product Development group. The person in this role will be responsible for developing new products that support the Rotex business strategy. This person will utilize the product development stage gate process to meet delivery commitments and bring new products to market in a timely manner. Work You’ll Do Receives general directions regarding objectives and exercises discretion in accomplishment of projects Collaborates with the R&D team and Design Engineering to execute Finite Element Analysis and Design work as per technical needs. Upgrades 3D models and drawings as instructed Demonstrates full competency in one or more engineering areas Identifies critical design process steps that lack proper documentation and leads efforts to create the necessary materials for the organization. Other duties may be assigned Basic Qualifications BE Mechanical Engineer Preferred Qualifications Experience 5-6 years with Machine design knowledge Sound knowledge of manufacturing processes (Preferable Sheetmetal) Strong skills in FEA (Structural and CFD – preferably ANSYS), 3D modeling (preferably SolidWorks), and ERP software and Microsoft Office applications Good working knowledge of project management techniques High problem-solving aptitude Ability to work cross-culturally Oral Communication - Speak clearly and persuasively in positive or negative situations; Participate in meetings. Written Communication - Write clearly and informatively; Present numerical data effectively Initiative - Volunteer readily; Undertake self-development activities; Take independent actions and calculated risks; Look for and take advantage of opportunities; Ask for and offer help when needed. Mathematical Skills -Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry Who We Are Mold-Masters is a global leader in the plastics industry. We design, manufacture, distribute, sell and service highly engineered and customized plastic processing equipment and systems. Our hot runners, temperature controllers, auxiliary injection and co-injection systems are utilized by customers of all sizes in every industry, from small local manufacturers to large worldwide OEM manufacturers of the most widely recognized brands. Over the course of our 50+ year history, we've built our reputation on delivering the best performance through our broad range of innovative technologies that optimize production to enhance molded part quality, increase productivity and lower part cost. Unlock your operations' full potential with Mold-Masters. Mold-Masters is an Operating Company of Hillenbrand. Hillenbrand (NYSE: HI) is a global industrial company that provides highly-engineered, mission-critical processing equipment and solutions to customers in over 100 countries around the world. Our portfolio is composed of leading industrial brands that serve large, attractive end markets, including durable plastics, food, and recycling. Guided by our Purpose — Shape What Matters For Tomorrow™ — we pursue excellence, collaboration, and innovation to consistently shape solutions that best serve our associates, customers, communities, and other stakeholders. To learn more, visit: www.Hillenbrand.com. EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at recruitingaccommodations@hillenbrand.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. At Hillenbrand, everyone is welcome to apply and "Shape What Matters for Tomorrow". Show more Show less

About Eternal Robotics – Hypervise Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Senior Computer Vision Engineer to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions and leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities 1. Project Management & Technical Leadership Lead and monitor end-to-end execution of CV/AI projects from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. 2. Client Engagement & Time Management Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. 3. CV Pipeline Development & Code Quality Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure code consistency and maintainability. Integrate various components including ML models, camera streams, and decision layers. 4. Model Development & Optimization Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with specific emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to handle challenging industrial imaging conditions. 5. Testing, QA & Deployment Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. 6. Continuous Improvement & Innovation Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to enhance system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) Model Accuracy: Precision and recall metrics in real production environments System Deployments: Number and success rate of on-time installations Resolution Time: Average TAT for solving deployment or inference issues On-Time Delivery: Project milestone adherence across sprints Quality of Deliverables: Measured via code audits, testing coverage, and system stability Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelor’s degree in Electronics, Computer Science, or related fields. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Experience: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skill Requirements Programming Languages: Python (primary), C++ (desirable) Frameworks & Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream Edge Computing: Jetson Nano/Xavier, deployment on embedded devices Operating Systems: Linux (Ubuntu preferred), bash scripting System Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP protocols Version Control & DevOps: Git/GitHub, Docker, CI/CD familiarity Additional Tools: VS Code, Jupyter, NVIDIA Nsight, Camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills Strong analytical and debugging skills with a detail-oriented mindset. Clear and concise communication across technical and non-technical teams. Ownership mindset with the ability to lead and mentor junior engineers. Comfortable in agile, deadline-driven environments and willing to take initiative. Why Join Us? Build real-world AI systems that impact production lines globally. Work in a cross-disciplinary team of engineers, designers, and domain experts. Fast-track growth in a company at the forefront of AI transformation in manufacturing. Access to cutting-edge tools, datasets, and continuous learning opportunities. Show more Show less

Job Description: We are looking for a Data Scientist with expertise in Python, Azure Cloud, NLP, Forecasting, and large-scale data processing. The role involves enhancing existing ML models, optimising embeddings, LDA models, RAG architectures, and forecasting models, and migrating data pipelines to Azure Databricks for scalability and efficiency. Key Responsibilities: Model Development Model Development & Optimisation Train and optimise models for new data providers, ensuring seamless integration. Enhance models for dynamic input handling. Improve LDA model performance to handle a higher number of clusters efficiently. Optimise RAG (Retrieval-Augmented Generation) architecture to enhance recommendation accuracy for large datasets. Upgrade Retrieval QA architecture for improved chatbot performance on large datasets. Forecasting & Time Series Modelling Develop and optimise forecasting models for marketing, demand prediction, and trend analysis. Implement time series models (e.g., ARIMA, Prophet, LSTMs) to improve business decision-making. Integrate NLP-based forecasting, leveraging customer sentiment and external data sources (e.g., news, social media). Data Pipeline & Cloud Migration Migrate the existing pipeline from Azure Synapse to Azure Databricks and retrain models accordingly - Note: this is required only for the AUB role(s) Address space and time complexity issues in embedding storage and retrieval on Azure Blob Storage. Optimise embedding storage and retrieval in Azure Blob Storage for better efficiency. MLOps & Deployment Implement MLOps best practices for model deployment on Azure ML, Azure Kubernetes Service (AKS), and Azure Functions. Automate model training, inference pipelines, and API deployments using Azure services. Experience: Experience in Data Science, Machine Learning, Deep Learning and Gen AI. Design, Architect and Execute end to end Data Science pipelines which includes Data extraction, data preprocessing, Feature engineering, Model building, tuning and Deployment. Experience in leading a team and responsible for project delivery. Experience in Building end to end machine learning pipelines with expertise in developing CI/CD pipelines using Azure Synapse pipelines, Databricks, Google Vertex AI and AWS. Experience in developing advanced natural language processing (NLP) systems, specializing in building RAG (Retrieval-Augmented Generation) models using Langchain. Deploy RAG models to production. Have expertise in building Machine learning pipelines and deploy various models like Forecasting models, Anomaly Detection models, Market Mix Models, Classification models, Regression models and Clustering Techniques. Maintaining Github repositories and cloud computing resources for effective and efficient version control, development, testing and production. Developing proof-of-concept solutions and assisting in rolling these out to our clients. Required Skills & Qualifications: Hands-on experience with Azure Databricks, Azure ML, Azure Synapse, Azure Blob Storage, and Azure Kubernetes Service (AKS). Experience with forecasting models, time series analysis, and predictive analytics. Proficiency in Python (NumPy, Pandas, TensorFlow, PyTorch, Statsmodels, Scikit-learn, Hugging Face, FAISS). Experience with model deployment, API optimisation, and serverless architectures. Hands-on experience with Docker, Kubernetes, and MLflow for tracking and scaling ML models. Expertise in optimising time complexity, memory efficiency, and scalability of ML models in a cloud environment. Experience with Langchain or equivalent and RAG and multi-agentic generation Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Job Title: MLOps Engineer (Remote) Experience: 5+ Years Location: Remote Type: Full-time About the Role: We are seeking an experienced MLOps Engineer to design, implement, and maintain scalable machine learning infrastructure and deployment pipelines. You will work closely with Data Scientists and DevOps teams to operationalize ML models, optimize performance, and ensure seamless CI/CD workflows in cloud environments (Azure ML/AWS/GCP). Key Responsibilities: ✔ ML Model Deployment: Containerize ML models using Docker and deploy on Kubernetes Build end-to-end ML deployment pipelines for TensorFlow/PyTorch models Integrate with Azure ML (or AWS SageMaker/GCP Vertex AI) ✔ CI/CD & Automation: Implement GitLab CI/CD pipelines for automated testing and deployment Manage version control using Git and enforce best practices ✔ Monitoring & Performance: Set up Prometheus + Grafana dashboards for model performance tracking Configure alerting systems for model drift, latency, and errors Optimize infrastructure for scalability and cost-efficiency ✔ Collaboration: Work with Data Scientists to productionize prototypes Document architecture and mentor junior engineers Skills & Qualifications: Must-Have: 5+ years in MLOps/DevOps, with 6+ years total experience Expertise in Docker, Kubernetes, CI/CD (GitLab CI/CD), Linux Strong Python scripting for automation (PySpark a plus) Hands-on with Azure ML (or AWS/GCP) for model deployment Experience with ML model monitoring (Prometheus, Grafana, ELK Stack) Nice-to-Have: Knowledge of MLflow, Kubeflow, or TF Serving Familiarity with NVIDIA Triton Inference Server Understanding of data pipelines (Airflow, Kafka) Why Join Us? 💻 100% Remote with flexible hours 🚀 Work on cutting-edge ML systems at scale 📈 Competitive salary + growth opportunities Show more Show less

Candidate will be part of VC PS Noida team. Design, develop, troubleshoot the core algorithms. Design and develop standard and customized features / checks in VC PS for inference, propagation and verification. Will be working with other local and global teams. Design and development of state of the art EDA tools involving development of new and innovative algorithms. Create test cases to test the developed feature. Skills Required Ability to develop new software architecture and good leadership skills. Fluent in C/C++ with extensive work experience in data-structures and algorithms. Excellent algorithm analysis skills and a good knowledge of data structures. Good knowledge of Tcl and Perl-based development on Unix. Good knowledge of Verilog, SystemVerilog & VHDL HDL. Familiarity with ASIC design flow and the EDA tools and methodologies used therein. Familiarity with multi-threaded and distributed code development. Self-motivation, self- discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards contributing to your success. Quality focus - one who believes in quality and wants to make a difference. Experience of production code development on Unix/Linux platforms. Show more Show less

We are looking for a high-energy tech-savvy individual for the role of Senior AI Engineer- GenAI at Eucloid. The candidate will solve complex problems, picking up new technologies and working at the cutting edge of innovation. The candidate is expected to lead following work-streams: • Develop and optimize Python applications for AI-driven products • Build and integrate LLM-based applications with structured and unstructured data • Work with large datasets, AI pipelines, and model inference APIs • Collaborate with AI researchers and engineers to translate ideas into production-ready solutions • Stay ahead of emerging AI technologies and contribute to continuous innovation Ideal candidate will have following Background and Skills: Background: • Undergraduate Degree in any quantitative discipline such as engineering, science or economics from a Top-Tier institution. • 5+ years of experience in Python-based product development • Strong foundation in data structures, algorithms, and system design • Proven problem-solving ability – you love tackling complex technical challenges • Hands-on experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure) • Experience in AI, ML, or NLP is a bonus, but a strong aptitude to learn AI frameworks quickly is what matters most • Exposure to LangChain, OpenAI APIs, or vector databases (advantageous, but not mandatory) The role offers a very attractive compensation (Base + Bonus) and is based out of Chennai. Please reach out to careers@eucloid.com if you want to apply. Show more Show less

Company Name: Search.com LLC Website: www.search.com Headquarter: California, USA Job Location: Remote from Anywhere About the Company: Search.com is an AI-powered search and monetisation platform engineered for speed, intelligence, and reward. Search.com delivers accurate, context-aware results tailored to user intent—whether it's coding help, current events, creative writing, or shopping. Built on a scalable, modular architecture, the platform combines intelligent query routing, real-time ad bidding, and user-centric personalization to create a smarter search experience. Monetization is woven throughout via high-performing ad placements, user subscriptions, publisher partnerships, and cashback rewards. Users can search freely, earn cashback through advertiser links, or unlock unlimited access and exclusive features by subscribing. Publishers benefit from embeddable AI search widgets with integrated ad revenue sharing, while advertisers tap into performance-driven placements fueled by live intent signals and AI-optimized delivery. From cross-platform apps to multilingual search, Search.com is rapidly evolving into a full-featured ecosystem—built not only to answer questions, but to elevate how we search, learn, shop, and interact online. Job Description: Search.com is seeking a highly skilled AI Systems Engineer to join our growing engineering team. In this role, you’ll be responsible for architecting, building, and optimizing the infrastructure and backend systems that power our AI models and agent products. You will work closely with researchers, ML engineers, and product teams to deploy cutting-edge models at scale and ensure reliable, fast, and secure user experiences. This is a critical role at the intersection of AI innovation and high-performance systems engineering. Key Responsibilities: Design and implement robust, scalable systems to serve AI/ML models in production (LLMs, vector databases, RAG pipelines, etc.) Build and maintain distributed, low-latency inference services across multiple cloud environments or edge deployments. Build and optimize APIs for internal and external AI inference. Collaborate with research and data teams to productionize models, ensuring optimal performance and cost-efficiency. Develop infrastructure for monitoring, logging, model versioning, experimentation, and rollback. Optimize GPU/TPU utilization and manage compute orchestration (e.g., Kubernetes, Ray, Slurm). Ensure system security, fault tolerance, and compliance with data governance standards. Investigate and resolve system-level issues, conducting root cause analysis and performance tuning. Required Skills: Bachelor’s or Master’s in Computer Science, Engineering, or related technical field. 4+ years of experience in systems engineering, backend development, or MLOps. Strong proficiency in Python, with experience in systems programming (Go, Rust, or C++ is a plus). Deep understanding of distributed systems, API development, and containerization (Docker, Kubernetes). Experience with model deployment tools like TensorFlow Serving, Triton Inference Server, or ONNX Runtime. Familiarity with AI/ML workflows: model training, fine-tuning, deployment, and observability. Experience working with cloud providers (AWS, GCP, Azure) and tools like Terraform or Helm. Strong debugging, performance optimization, and troubleshooting skills. Comfortable working in fast-paced, remote-first environments with a high degree of autonomy. Excellent communications and organizational skills 24/7 on-call for emergency response, disaster recovery Preferred Qualifications: Experience deploying LLMs or agent systems in production (e.g., OpenAI, Multi-Head Attention, Grouped-Query, Hugging Face Transformers, LangChain, RAG pipelines). Knowledge of streaming data systems (Kafka, Apache Flink, etc.). Familiarity with search infrastructure (Elasticsearch, Pinecone, Weaviate, FAISS). Experience in security, privacy, and compliance for AI/ML applications. What we offer? Work with a mission-driven team shaping the future of AI search. 100% remote flexibility with a globally distributed team. Competitive compensation. Access to powerful computing resources and modern dev infrastructure. Fast-paced, high-impact environment where your ideas matter. Show more Show less

who we are: SRSWTI is a moonshot research lab pushing the boundaries of artificial intelligence, working towards general intelligence through unconventional approaches to knowledge, reasoning, retrieval and inference. We're not building another app—we're engineering the future of personal computing itself. and just by the way, we are nearing our launch for our AI Operating System. this is the best time to come in and perform. we are hiring immediately. what you'll do: craft our voice in the world. build a brand that’s as experimental and future-forward as the tech we’re creating. you will blur the lines between growth hacking, content strategy, and creative storytelling. your playground spans: • brand narrative and copy that punches through noise • content strategy (blogs, tweets, threads, visuals, videos—whatever works) • growth experiments across LinkedIn, Twitter, and unconventional channels • email marketing & community nurturing • partnerships & inbound funnel testing • we judge you by KPIs, metrics and not working hours. you are: • a multi-hyphenate creative who understands distribution • someone who can write, strategize, and execute • obsessed with attention—how to earn it, keep it, convert it • deeply curious about AI and the ideas shaping tomorrow • fluent in analytics tools, content scheduling, and rapid experimentation • equally comfortable shipping a meme, a blog post, or a campaign • pro-ownership, radically honest and brutal. what we want: please don't just attach your resumes, be pro-active enough to reach me out as well. in less than 4-5 sentences explain "why you?" over anyone be honest. please don't use ai to regurgitate slop on my dms---straight up reject. interview process: you will be given a take-home assessment, and then one round of on-call interview. our vision: we are not just looking for a marketer—we’re looking for a strategic amplifier. some who can take complex ideas and make them contagious. if you’re excited by the idea of working side-by-side with researchers, engineers, and founders to shape the narrative of a future AI lab—this is it. Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: ci/cd,model interpretability,openai,langchain,aws,rag architectures,javascript,azure,google cloud,nltk,next.js,kubernetes,large language models,hugging face,ai tools,python,gcp,quantization,deep learning,machine learning (ml),nlp,ai development,mlops tools,backend technologies,llama,pytorch,ethical ai,frontend technologies,r,react.js,cloud,flask,data privacy,spacy,hugging face transformers,computer vision,nlp tasks,retrieval-augmented generation (rag),tensorflow,ml,gpt,ai technologies,large language models (llms),generative ai,fastapi,openai apis,embeddings,natural language processing,artificial intelligence,bert,model compression,natural language processing (nlp),vector databases,django,mlops,node.js,docker,inference optimization,java,machine learning,typescript Show more Show less

Role Description: Principal Machine Learning Scientist(IC) – AdTech About the Team: Nykaa’s AdTech Data Science team is at the forefront of building intelligent, ML-powered advertising products including Sponsored Products, Display Ads, and Creative Personalization. We aim to serve highly relevant, personalized ads to millions of users while maximizing advertiser success through scalable, automated systems. In this Principal IC role, you will be a hands-on technical leader—driving the development of foundational ML models and systems that fuel our ad platform. You’ll work closely with product, engineering, and business teams to define and solve high-impact problems in advertising science. What Are We Looking For? Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field from a reputable institution. Experience: 10+ years of experience building production-grade ML systems, with 5+ years specifically in AdTech, performance marketing, or large-scale recommender systems. Proven track record of delivering impactful ML innovations as a senior individual contributor, from ideation to deployment. Deep expertise in one or more of the following domains: CTR/CVR prediction , bidding dynamics , bid/budget optimization Multi-objective learning , campaign automation , target ROAS modeling Generative AI for creative optimization , personalization , or agentic workflows Technical Skills: Advanced understanding of ML algorithms , reinforcement learning , Bayesian optimization , multi-armed bandits , and game theory as applied to digital advertising. Fluency in Python and ML frameworks like PyTorch , TensorFlow , XGBoost , and libraries like LightGBM , Scikit-learn . Expertise in large-scale data processing with PySpark , SQL etc. . . Experience with real-time inference, latency-sensitive model serving, and model monitoring in production environments. Strong command of A/B testing design , incrementality measurement , and online experimentation in AdTech systems. Soft Skills: Passion for solving ambiguous, complex problems with scientific rigor and business impact. Deep ownership mentality and the ability to independently scope and drive projects end-to-end. Clear, concise communication of complex technical concepts to cross-functional stakeholders. Collaborative mindset with a track record of influencing product direction through technical thought leadership. Responsibilities: ML Development & Deployment: Design and develop cutting-edge models for predicting ad outcomes , bidding decisions , budget pacing , and SKU/ad selection . Build intelligent automation systems for campaign management that adapt in real-time to advertiser and platform feedback. Develop generative models to optimize ad creatives and improve user engagement across formats. System Architecture & Optimization: Own the architecture of core components like model pipelines, simulation frameworks, and personalization layers within the ad platform. Drive research into long-term value modeling , multi-touch attribution , and campaign lifecycle optimization . Cross-Functional Impact: Collaborate with Product and Engineering to design features that are ML-first and measurable. Act as the primary technical stakeholder for experimentation, metrics design, and long-term roadmap planning. Thought Leadership & Innovation: Explore and prototype novel approaches using Reinforcement Learning , RLHF , contrastive learning , or LLMs for advertiser assistance or campaign agents. Publish internal whitepapers or contribute to external publications and IP generation when applicable. Why Join Nykaa AdTech? Be a key technical architect behind Nykaa’s growing AdTech ecosystem. Work on cutting-edge problems that intersect ML, economics, personalization, and creative optimization. Shape the future of advertising in India’s leading beauty and lifestyle platform—with a strong focus on user delight and advertiser success. Show more Show less

Job Overview As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail clientenabling consistency, modularity, observability, and readiness for GenAI-driven innovation. Youll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI : Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or open-source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in-context learning methods. Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. Mentor engineering teams in code best practices, versioning, and LLM lifecycle Skills : Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and model-serving platforms. Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization Experience managing compute, memory, and storage requirements of LLMs across & Experience : 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. Clear communicator who collaborates well with business, data science, and DevOps teams. Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. Curious and future-facingalways exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale (ref:hirist.tech) Show more Show less

Job Summary We are seeking a highly motivated and skilled Senior Full-Stack Developer with 5+ years of experience, specializing in Python and AI/ML, complemented by strong React.js capabilities. This is a critical role for an immediate 2-month MVP project focused on AI/ML predictive analysis, particularly in financial or risk assessment domains. While UI skills are valued, the core focus for this MVP is on backend Python development and advanced AI/ML model implementation. Key Responsibilities Backend Development : Build robust and scalable backend systems using Python, ensuring high performance and reliability for AI/ML model integration and data processing. Data Integration Work with various data sources to collect, process, and prepare data for model training and inference. Frontend Contribution Utilize React.js knowledge to contribute to the user interface, primarily focusing on displaying model outputs and user interactions. Rapid Prototyping Drive rapid development cycles for the MVP, delivering accurate and impactful model outputs within tight deadlines. Problem Solving Debug and optimize AI/ML models and backend services for accuracy, efficiency, and : Work effectively in a fast-paced environment, collaborating with stakeholders to understand requirements and deliver impactful solutions. Experience Required Skills & Qualifications : Minimum 5 years of experience in software development. Core Backend Strong expertise in Python for backend development. AI/ML Focus Significant hands-on experience in AI/ML model development, including predictive analysis. Candidates with a background in financial or risk assessment modeling are highly preferred. Frontend Basics Proficiency in React.js for frontend development. Strong Fundamentals Excellent knowledge of software engineering principles, data structures, and algorithms. Proactive & Productive Demonstrated ability to be highly productive and contribute effectively from day one in a fast-paced : Strong analytical and problem-solving skills, with a focus on delivering accurate and impactful : Good communication skills to collaborate with technical and non-technical team members (ref:hirist.tech) Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Build platform features to for AI/ML lifecycle include data processing, AI inference (batch, real-time, hybrid) and end-to-end MLOps for non-generative and generative use-cases Utilize deep knowledge of AI/ML systems engineering to define future architecture patterns for a multi-cloud platform Develop robust, scalable, and maintainable code that meets high standards of quality and performance Utilize engineering expertise to coach and influence enterprise data scientists and ML engineers to adopt scaleable, robust process architecture for AI/ML use-cases Stay up-to-date with the latest advancements in AI/ML technology and introduce innovative techniques and tools to the team. Mentor and develop junior engineers on the team. Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s degree or Ph.D. with 3+ years of relevant experience or a bachelor's degree and at least 4+ years of relevant experience 4+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer, with at least 3+ years in senior engineering roles with increasing scope 3+ years of demonstrable experience with AI/ML Engineering including data pipelines, model inference and MLOps for batch and real-time endpoints on cloud platforms (e.g. Databricks, Azure, AWS, GCP, Snowflake) 3+ years of experience with demonstrable proficiency in programming languages such as Python or Java 3+ years of demonstrable proficiency with querying and data processing tools (e.g. PySpark, SQL) as well as command-line tools (shell, regex, cloud CLI) Preferred Qualifications Experience with DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code\ Experience with AI/ML development in industries such as healthcare, aerospace, insurance Deep understanding of AI/ML lifecycle and variations for different use-cases (non-generative, generative) Proven success in collaborating with geographically distributed team At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

Job Title: AI/ML Engineer Location: Hyderabad, India Work Mode: Onsite (5 days/week) Experience: 3+ Years (including 2+ years in AI/ML) Employment Type: Full-time Position Overview: We are looking for a highly motivated and skilled AI/ML Engineer to join our team in Hyderabad . This is a full-time, onsite role offering the opportunity to build and deploy real-world AI applications using cutting-edge tools including AWS Bedrock , SageMaker , and other cloud-native services. The ideal candidate will have a passion for solving business problems with AI and experience bringing AI models to life in production environments. Key Responsibilities: Design, build, and deploy end-to-end AI/ML solutions for real-world applications Work with AWS services like Bedrock , SageMaker , Lambda , and Step Functions for model training, inference, and orchestration Collaborate with product, engineering, and data teams to define technical solutions Conduct data preparation, feature engineering, model training, and performance tuning Ensure scalable and cost-effective AI model deployment in cloud environments Stay current on emerging trends in Generative AI, foundation models, and MLOps practices Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 3+ years of total experience in software development, with 2+ years focused on AI/ML Proven experience in building and deploying AI applications in production Hands-on expertise with Python and ML frameworks like PyTorch , TensorFlow , or Scikit-learn Experience with AWS AI/ML tools, especially SageMaker and Bedrock Solid understanding of data pipelines, APIs, and inference optimization Familiarity with prompt engineering and using foundation models in enterprise applications Preferred Skills: Exposure to LLMs , RAG architectures , or agentic AI systems Understanding of MLOps principles and tools (CI/CD for ML, monitoring, retraining loops) Experience in NLP, computer vision, or time-series forecasting Work Arrangement: Location: Hyderabad (onsite only) Work Schedule: Monday to Friday (5 days a week, in-office) Show more Show less

About Clear Demand: Clear Demand is the leader in AI-driven price and promotion optimization for retailers . Our platform transforms pricing from a challenge to a competitive advantage, helping retailers make smarter, data-backed decisions across the entire pricing lifecycle. By integrating competitive intelligence, pricing rules, and demand modelling , we enable retailers to maximize profit, drive growth, and enhance customer loyalty — all while maintaining pricing compliance and brand integrity. With Clear Demand, retailers stay ahead of the market, automate complex pricing decisions, and unlock new opportunities for growth. Key Responsibilities: People management - Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions. Program management - Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations. Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML. Scope out the business requirements by performing necessary data-driven statistical analysis. Set goals and, objectives using proper business metrics and constraints. Conduct exploratory analysis on large volumes of data, understand the statistical shape, and use the right visuals to drive & present the analysis. Analyse and extract relevant information from large amounts of data and derive useful insights on a big-data scale. Create labelling manuals and work with labellers to manage ground truth data and perform feature engineering as needed. Work with software engineering teams, data engineers and ML operations team (Data Labellers, Auditors) to deliver production systems with your deep learning models. Select the right model, train, validate, test, optimise neural net models and keep improving our image and text processing models. Architecturally optimize the deep learning models for efficient inference, reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Create and enhance model monitoring system that could measure data distribution shifts, alert when model performance degrades in production. Streamline ML operations by envisioning human in the loop kind of workflows, collect necessary labels/audit information from these workflows/processes, that can feed into improved training and algorithm development process. Maintain multiple versions of the model and ensure the controlled release of models. Manage and mentor junior data scientists, providing guidance on best practices in data science methodologies and project execution. Lead cross-functional teams in the delivery of data-driven projects, ensuring alignment with business goals and timelines. Collaborate with stakeholders to define project objectives, deliverables, and timelines. Qualifications & Experience: MS/PhD from reputed institution with a delivery focus. 5+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Delivered AI/ML products/features to production. Seen the complete cycle from Scoping & analysis, Data Ops, Modelling, MLOps, Post deployment analysis. Experts in Supervised and Semi-Supervised learning techniques. Hands-on in ML Frameworks - Pytorch or TensorFlow. Hands-on in Deep learning models. Developed and fine-tuned Transformer based models. ( Input output metric, Sampling technique) Deep understanding of Transformers, GNN models and its related math & internals. Exhibit high coding standards and create production quality code with maximum efficiency. Hands-on in Data analysis & Data engineering skills involving Sqls, PySpark etc. Exposure to ML & Data services on the cloud – AWS, Azure, GCP Understanding internals of computer hardware - CPU, GPU, TPU is a plus. Can leverage the power of hardware accel to optimize the model execution — PyTorch Glow, cuDNN, is a plus Show more Show less

Trident Consulting is seeking a "Machine Learning Engineer" for one of our clients in "India- Remote" Position: Machine Learning Engineer Job Location: India- Remote Job Type: Fulltime About the Role: We are seeking a skilled Machine Learning Engineer with expertise in PyTorch and a strong understanding of core machine learning principles to develop and deploy anomaly detection models on top of ELK (Elasticsearch, Logstash, Kibana). The ideal candidate will be responsible for building and integrating machine learning models to detect anomalies in log data using supervised or semi-supervised approaches Responsibilities: Train and evaluate models using PyTorch for anomaly detection in time-series or log data. Preprocess and transform log data ingested via Logstash and indexed in Elasticsearch for ML consumption. Design and run experiments to benchmark anomaly detection performance. Integrate trained models with the ELK Stack for real-time anomaly scoring and visualization in Kibana. Collaborate with DevOps/SRE teams to understand system behavior and define anomaly patterns. Document model assumptions, behavior, and performance metrics clearly and thoroughly. Required Qualifications: Proven experience with PyTorch for developing machine learning models. Strong grasp of model training fundamentals. Solid understanding of anomaly detection techniques in log or time-series data. Experience working with Elasticsearch, Logstash, and Kibana. Proficiency in Python and common data manipulation libraries (Pandas, NumPy, etc.). Familiarity with data pipeline design, feature engineering, and model deployment. Comfortable working in Linux environments and using version control (Git) Preferred Qualifications Prior experience integrating ML models with ELK. Familiarity with log data formats, common system logs (e.g., syslog, nginx, application logs). Experience with real-time inference or streaming data frameworks (e.g., Kafka, Flink). Knowledge of unsupervised anomaly detection techniques (e.g., autoencoders, clustering). Exposure to MLOps practices. About Trident Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include: Trailblazer Women Award 2025 by Consulate General of India in San Francisco Ranked as the #1 Women Owned Business Enterprise in the large category by IT-Serve. Received the Tech-Serve Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022 Show more Show less

Description Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements. Requirements We are looking for an experienced AI/ML Architect to lead the design and implementation of scalable, production-grade machine learning solutions. This role requires a strong background in data science, AI/ML engineering, cloud infrastructure, and solution architecture. The ideal candidate will have hands-on experience building and deploying AI/ML pipelines, as well as guiding cross-functional teams through the entire model lifecycle—from ideation to deployment. Job responsibilities Key Responsibilities: Design end-to-end AI/ML architecture and solutions aligned with business objectives Lead development and deployment of ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn Architect scalable data pipelines for training and inference using tools like Apache Spark, Airflow, or Databricks Collaborate with data engineers, scientists, and product managers to define data requirements and ML use cases Implement and advocate for MLOps best practices (CI/CD, model monitoring, automated retraining) Optimize models for performance, scalability, and cost-efficiency on cloud platforms (Azure, AWS, or GCP) Conduct code and design reviews to ensure high standards of AI/ML implementation Stay current with industry trends and evaluate new tools/technologies for adoption Mentor junior engineers and guide them in ML best practices and system design Required Skills & Experience: 10+ years of software/data engineering experience, with 4+ years focused on AI/ML architecture Deep expertise in ML algorithms, NLP, computer vision, or recommendation systems Proficient in Python and ML libraries (e.g., scikit-learn, pandas, NumPy) Experience with deep learning frameworks (TensorFlow, PyTorch, etc.) Strong background in data architecture, feature engineering, and cloud-native ML solutions Hands-on experience with containerized deployments (Docker, Kubernetes) Familiarity with MLOps tools (MLflow, TFX, Kubeflow, etc.) Excellent problem-solving, communication, and leadership skills Preferred Qualifications: Master’s or PhD in Computer Science, Data Science, or related field Experience in deploying AI solutions at scale in a production environment Certifications in cloud (Azure AI Engineer, AWS Machine Learning Specialty, etc.) What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Ever wondered how it would be to revolutionise one of the least digitised industries in the market, alongside a growing and switched-on team? Read on! ___________________________________________________________________________________ We are Shape.Construction ! We are digitising the largest and most fundamental industry in the world, the industry that literally builds the foundations of the civilisation we all depend on to spare us from a brutal hunter-gatherer life: CONSTRUCTION It is one of the least digitised industries in the world but also the largest – 1 in 9 people globally work in the construction industry and it constitutes 11% of global GDP. Improving construction strengthens the very foundation of human civilisation. ( Watch our short film about it). We got our start as a high-end construction project management consultancy. As a consultancy, we are focused on genuinely upgrading the way construction projects are delivered. We then take the deep understanding of the projects we work on to develop construction management software products that anyone can use to deliver their projects better. We are building a full suite of products one module at a time – kind of like office 365 but for construction management. ( Check out Shape, our construction management tech and watch this video about what we are doing ) The core of all this is our true secret sauce; people. We only recruit the very best both in capability and personality. We are deeply focused on designing a new type of organisation that is optimised for the flourishing of the people in the team first and foremost. People that join us develop fast as a whole person in ways they never imagined. ( Read more about our vision and mission ). This approach has allowed us to grow from just 2 people in 2017 to over 200 today (including consultancy) and we are still very much at the beginning! Joining us isn’t just some “job”, it is a transformative educational experience. We challenge you to be your best self in all aspects of life. Our vision is designed to align how we operate with the fundamental aspects that enable anyone to have a fulfilled life: Connects us with meaningful relationships Inspires us to develop ourselves to become better humans Empowers us to pursue our own learning adventures 4 core values for a good life We believe a life of human flourishing is all about meaningful relationships with others and challenging yourself to create a positive impact. Our four core values are grow yourself, care about people, execute to greatness and build civilisation. This philosophy goes much deeper and you can see more on our website. We are achieving this vision through the following two missions: To fully digitise the construction of human civilisation To create a new type of organisation that enables human flourishing while delivering a huge positive impact on society Laminar Projects is proud to be recognized as one of the UK’s Best Workplaces in Construction, Engineering & Property™ for 2024! Join a team where learning, collaboration, and growth are at the core of everything we do, and where solving big challenges is part of the fun. ___________________________________________________________________________________ The Role Purpose of the role We seek a self-sufficient Lead MLOps Engineer with a deep understanding and hands-on experience in deploying Large Language Models (LLMs) into production. This role requires an individual who can independently handle the complexities of LLMs, from fine-tuning to integration with existing systems, while closely collaborating with the product and engineering teams to ensure seamless implementation and optimisation. Team Join a team of forward-thinking software engineers and product strategists. While you will be working autonomously on the deployment and management of LLMs, coordination with our Product Management and Site Reliability Engineering (SRE) teams will be essential for integrating these models into our broader platform. Your top 3 objectives Effective Deployment of LLMs: Successfully deploy LLMs into production, ensuring they align with our business needs and human values. Optimise LLM Performance: Apply techniques such as reinforcement learning, instruction fine-tuning, and model optimization to enhance the performance and reliability of LLMs. Integrate LLMs into Applications: Seamlessly integrate LLMs with external applications, enabling them to contribute effectively to our suite of products. Your Top 5 Responsibilities Collaborate Scope Definition: Engage with product team to define ML project use cases precisely, setting a clear direction for technical implementation. Lifecycle Management: Oversee the ML project lifecycle stages, including model selection, prompt engineering, fine-tuning, evaluation, and alignment with human feedback. Optimize and Deploy for Inference: Optimize LLMs for inference and deploy them into production, ensuring they meet the functional and performance criteria established during scoping. Enhance Applications with LLMs: Work within the software development team to tailor LLMs to our unique application requirements, ensuring that the models effectively power and enhance our products' functionality and user experience. Collaborate with the SRE Team: Work closely with the SRE team for the integration of LLMs into our cloud infrastructure, ensuring scalability and resilience. Your Capabilities As a Lead MLOps Engineer focused on LLMs, you combine deep technical expertise with a proactive approach to problem-solving. You are adept at working independently yet understand the importance of aligning your work with broader team objectives. You have experience as a hands-on leader and is ready to bootstrap and grow the AI team. As a candidate, you should have: Expertise in LLM Deployment: Extensive experience in deploying and managing Large Language Models, including all aspects of fine-tuning and integration. Technical Proficiency: Strong skills in machine learning frameworks, cloud computing, and interacting with external applications. Independent Problem-Solver: Ability to tackle challenges autonomously, applying innovative solutions to complex problems. Continuous Learner: Commitment to staying abreast of the latest developments in LLMs and MLOps. Nice to Have (If you don’t have it now you will after joining) Advance Model Optimization Skills: Knowledge of advance model fine-tuning and optimization techniques. Collaborative Approach: While working autonomously, the ability to effectively coordinate with other teams, like SRE, for seamless integration. Community Engagement: Active participation in relevant tech communities to bring in new insights and best practices. Shape isn’t the place for you if any of the following is true: You want an easy, chilled-out role without much challenge You like to be the smartest person in the room You don’t like continuously receiving honest candid feedback You prefer to do your own thing rather than work with a team At Shape we value diverse experiences and perspectives, empowering each member to contribute their unique expertise towards our collective success, so if you don't think you meet all the criteria but still are excited about this role we encourage you to apply anyways! ___________________________________________________________________________________ Salary And Benefits Standard Stuff Competitive salary dependent on location and capability Paid Annual Leave 20 days + statutory Bank Holidays In-House Coaching Sessions Discretionary bonus scheme for all team members. The Life-Changing Stuff 4 Day Weeks : That’s right, 4 day weeks Flexibility: Getting things done is what really matters, not what time of day you do it. That means you don’t have to ask permission for things like picking up your kids or going to the doctor, just keep your team in the loop if you think they will be affected. Grow your whole self: Our leaders are more like coaches and one of our main objectives is to give 5 years’ worth of learning and development for every 1 year with us. You have a coach, mentor, well-being therapist and a development-orientated environment: That’s literally what our vision is all about and the primary reason Shape exists Be surrounded by the best: We only hire and retain the very best people. You might be used to being the smartest in the room but that won’t be the case in Shape. You will be surrounded by people you can learn from. We are 100% meritocratic so fast progression is the norm. You will be supported to excel in whichever areas you are most interested in! With Shape, development is unbounded Long-term impact: We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast us ________________________________________________________________________________________ Application We get thousands of applications so please write us a letter as part of your application explaining: Why do you want to join us? If you joined, where do you think you could make the most impact and how? We aren't a giant faceless corporation; we really care about the people who want to join our team so all applications will be read thoroughly by our key leaders. In terms of application, we usually start with an intro call to tell you what we are all about in a casual conversation. That helps you to know us a bit better and tell us a bit about yourself. Show more Show less