Job Title: Multimodal AI Engineer (Robotics & Foundation Models) Company: Asiacruit BPO, Inc. Job Category: Machine Learning Roles & Responsibilities: At Asiacruit, we connect top talent with forward\-thinking organizations across industries. Our mission is to help businesses grow through smart, strategic, and people\-focused solutions. We support companies by providing high\-quality talent for local and global markets. We are looking for a Multimodal AI Engineer to develop and adapt Vision\-Language\-Action (VLA) foundation models for autonomous robotic systems. You will work at the intersection of multimodal perception, foundation models, and robotic learning, helping AI systems interpret visual inputs, plan complex tasks, and translate instructions into physical actions. This role focuses on fine\-tuning multimodal models, developing multi\-camera perception pipelines, implementing action\-generation architectures, and optimizing models for deployment on edge AI platforms. You will collaborate with AI researchers and robotics engineers to turn research concepts into practical, high\-performance AI capabilities. Key Responsibilities * Develop, fine\-tune, and adapt Vision Transformers (ViTs) and multimodal foundation models for robotic perception and action generation. * Implement action\-chunking architectures, including Action Chunking with Transformers (ACT) and Diffusion Policy, to support long\-horizon robotic task planning. * Build multi\-camera fusion pipelines that combine visual inputs into coherent representations for VLA perception and decision\-making. * Develop and optimize multimodal feature extraction pipelines that integrate visual perception with downstream robotic planning and action\-generation systems. * Integrate computer vision capabilities, including face recognition and perimeter threat assessment, into multimodal AI workflows. * Apply parameter\-efficient fine\-tuning (PEFT) techniques, including LoRA, to adapt foundation models for specific robotic applications. * Work with Transformer architectures, visual embeddings, and vector search techniques to improve multimodal representation and information retrieval. * Profile and optimize multimodal models through pruning and other model compression techniques to improve inference efficiency. * Prepare and optimize model weights for downstream deployment using NVIDIA TensorRT and related inference optimization tools. * Evaluate model performance through systematic experiments, benchmarking, and iterative improvements. * Collaborate with researchers and engineering teams across VLA, robotics controls, and edge AI to support end\-to\-end system development. * Work on emerging technologies at the intersection of multimodal AI, foundation models, and robotics. * Develop AI systems that connect visual perception, intelligent planning, and physical execution. * Explore advanced approaches to VLA model adaptation, action generation, and multimodal learning. * Contribute to real\-world AI applications involving autonomous systems and intelligent perception. * Collaborate with researchers and engineers working on challenging AI research and development projects. Work Location: Delhi, India Availability: Full time
Job Title: Junior AI Engineer – Applied AI (Non-Clinical) Company: Teleradiology Solutions (TRS) Job Category: Machine Learning Roles & Responsibilities: Teleradiology Solutions (TRS), founded in 2002 by two Yale\-trained physicians and headquartered in Ardmore, PA, provides 24x7 diagnostic radiology reporting to over 150 hospitals across 21 countries, through a network of radiologists (US, Indian certified) and technology\-driven workflows. Daignostix, the AI arm of TRS based in Whitefield, Bengaluru, builds clinical AI for medical imaging and healthcare workflows. TRS also maintains an active academic and research focus, including AI in radiology (www.radguru.net). Role Summary As a Junior AI Engineer – Applied AI (Non\-Clinical), you will build and ship operational ML algorithms and AI\-enabled mobile features end to end under the guidance of senior engineers, using AI\-assisted development tools such as Claude Code to move quickly without compromising quality. This role does not work on clinical diagnostic models. Roles and Responsibilities * Operational algorithms. Build, train and evaluate models for case routing and worklist prioritisation, TAT prediction, radiologist scheduling and RVU/volume forecasting, and anomaly detection on operational data. * Mobile AI features. Build AI\-enabled features in mobile apps (React Native, Flutter or native iOS/Android) and integrate them with backend model services. * On\-device inference. Convert, optimize, and deploy machine learning models such as LightGBM, XGBoost, and scikit\-learn models for production use, balancing accuracy, inference latency, memory usage, and model size. * Data and evaluation. Build data pipelines from operational systems, define success metrics with operations stakeholders, and measure model impact against baselines in production. * AI\-assisted development. Use Claude Code and similar agentic coding tools in day\-to\-day development, while owning the review, testing and correctness of everything you ship. * Production engineering. Package models as tested services (Python, Docker, FastAPI) with unit and regression tests, logging and monitoring. Senior engineers lead architecture and deployment. * Stakeholder collaboration. Work with operations, product and engineering teams to turn workflow problems into measurable AI solutions. Python \| scikit\-learn \| XGBoost / LightGBM \| Time\-Series Forecasting \| Optimisation / OR\-Tools \| React Native / Flutter \| Swift / Kotlin \| PyTorch \| Core ML / TensorFlow Lite / ExecuTorch \| Claude Code / AI\-Assisted Development \| FastAPI / REST APIs \| Docker \| Git \| pytest \| CI/CD \| MLflow / Weights \& Biases Work Location: Bengaluru, India Availability: Full time
Job Title: Lead Software Engineer Company: Trimble Job Category: Machine Learning Roles & Responsibilities: Are you a forward\-thinking AI practitioner driven to push the boundaries of Generative AI, LLMs, and intelligent automation within enterprise systems? Trimble is seeking a high\-caliber AI Engineer to join our Construction Management Solutions (CMS) team in Chennai. In this high\-impact individual contributor role, you will work hands\-on across our premier ERP product suite, architecting and embedding state\-of\-the\-art AI capabilities utilizing Azure OpenAI, modern foundation models, and vector search frameworks to shape the next generation of construction technology. About Our Division: Construction Management Solutions (CMS) As an industry leader in construction software and ERP solutions, Trimble CMS empowers contractors worldwide. We connect the office, team, and field by seamlessly integrating core business functions like construction accounting and project controls with jobsite execution. Powered by modern cloud architectures and partnerships, we help global organizations prototype, validate, and scale AI\-powered solutions to enterprise grade. What Makes This Role Great: ------------------------------- We embrace a talent\-led culture where success is defined by technical ingenuity and creative exploration. In this role, you will not simply consume standard APIs—you will architect, prototype, and scale groundbreaking Generative AI capabilities that have never been built before in construction ERP. Working out of our Chennai engineering hub alongside some of the sharpest minds in software development, data science, and product design, you will possess end\-to\-end technical autonomy to take AI features from initial zero\-shot experimentation all the way to global production releases. Key Exciting Responsibilities --------------------------------- * AI Architecture \& End\-to\-End Delivery: Design, develop, and deploy production\-ready AI solutions across our ERP platform ecosystem, managing the full development lifecycle from exploratory prototyping to enterprise\-scale deployment. * LLM Engineering \& Framework Integration: Build robust Generative AI workflows utilizing LangChain, Azure OpenAI, and foundational LLMs, integrating vector search databases to ground AI outputs in proprietary enterprise data. * Advanced Prompt \& Context Engineering: Engineer complex multi\-step prompts and optimize zero\-shot and few\-shot techniques to power personalized recommendations, intelligent document processing, and natural language workflows. * Model Evaluation \& Hyperparameter Tuning: Rigorously evaluate LLM performance, fine\-tune model parameters, optimize latency and token economics, and establish interpretability standards for reliable web application integrations. * Cross\-Functional Product Roadmap Influence: Collaborate closely with product managers, UX designers, and integration engineers to identify high\-value customer problems and translate them into AI\-driven product capabilities. * Continuous Technology Exploration: Stay ahead of the curve across rapidly emerging AI/ML breakthroughs, agentic frameworks, and new model iterations, evaluating their application within enterprise construction workflows. * Location: Chennai, India * Department: Construction Management Solutions (CMS) * Level: * Job Type: Full\-Time * You'll work on projects that truly matter: Our purpose\-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. * Collaborate with like\-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. * Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self\-authored," empowering proactive "doers." * Enjoy true flexibility: We offer flexible work arrangements, which are a significant driver for employees joining and staying with us. Work Location: Chennai, India Availability: Full time
Job Title: AI Intern Company: Archle Labs Job Category: Machine Learning Roles & Responsibilities: Role Description We are looking for a highly motivated AI Intern to join our Research \& Development team. In this role, you will work on cutting\-edge Generative AI, NLP, and machine learning applications focused on solving real\-world healthcare and life science challenges. You will be responsible for designing, developing, and deploying intelligent AI systems using modern LLM frameworks, RAG pipelines, and deep learning technologies. This is a high\-impact opportunity to work closely with the CEO and leadership team in a fast\-paced startup environment where innovation and ownership are highly valued. Key Responsibilities * Develop and deploy AI/ML applications using Python * Build and optimize NLP and Generative AI workflows * Design and implement RAG (Retrieval\-Augmented Generation) pipelines * Work with vector databases and embedding models * Develop AI agents and workflows using LangChain and LangGraph * Build scalable APIs and backend services using FastAPI * Perform prompt engineering and optimize LLM performance * Work with Hugging Face models, transformers, and open\-source AI frameworks * Research, test, and evaluate new AI/ML technologies and advancements * Assist in fine\-tuning and optimizing deep learning/LLM models * Collaborate with cross\-functional teams to integrate AI solutions into products * Participate in end\-to\-end model deployment and monitoring * Maintain technical documentation and development workflows * Work closely with leadership on AI product strategy and innovation * Competitive salary and benefits package * Potential ESOP grants based on performance and tenure * Opportunity to work closely with founders, CEO, and leadership team * High ownership role with significant growth potential * Collaborative and innovative work environment * Professional development and research opportunities * Opportunity to work on cutting\-edge AI and healthcare technologies * The chance to make a significant impact on healthcare innovation Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Python Software Engineer Machine Learning AWS Company: Client Server Job Category: Machine Learning Roles & Responsibilities: You could be progressing your career in a senior, hands\-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence. As a Python Software Engineer you'll join a cross functional team, collaborating with Data Scientists and Machine Learning Engineers on complex insurance underwriting and pricing systems. They'll be a range of projects with a focus on implementing Machine Learning algorithms into production systems. About you: * You are a data savvy Python Software Engineer with advanced coding skills * You have experience of across the full lifecycle of ML model development including into production * You're collaborative, enjoy problem solving and working with others to overcome technical challenges * You have a strong knowledge of AWS * You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns * Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential Work Location: Cambridge, England, UK Availability: Full time
Job Title: AI Software Engineer - Investments Technology Company: Neuberger Berman Job Category: Machine Learning Roles & Responsibilities: From offices in 40 cities worldwide, Neuberger manages a range of equity, fixed income, private equity and hedge fund strategies on behalf of institutions, advisors and individual investors worldwide. With more than 700 investment professionals and more than 2,900 employees in total, Neuberger has built a diverse team of individuals united in their commitment to client outcomes and investment excellence. Our culture has afforded us enviable retention rates among our senior investment staff and has earned us citations in the top\-ranked firms (among those with 1,000 or more employees) in the Pensions \& Investments “Best Places to Work in Money Management” survey each year since 2013\. We are seeking a talented Junior AI Software Engineer to join our growing Fixed Income Technology team. In this role, you will design, develop, and deploy AI\-powered capabilities that drive real business impact. You will work closely with business stakeholders, engineering, and data engineering teams to build scalable, production\-grade AI systems. This is an exciting opportunity to shape the next generation of intelligent products while growing your expertise in a collaborative and innovative environment. Primary Responsibilities: * Build and maintain end\-to\-end AI powered solutions covering data ingestion, feature engineering, model training, evaluation, and deployment. * Work on building new dashboards / integrating large language models (LLMs) and foundation models into product features, including prompt engineering, fine\-tuning, MCP Servers and RAG architecture. * Write clean, well\-tested, and well\-documented code following engineering best practices. * Partner with the FI business users to design and build agentic workflows, web dashboards, backend APIs * Work with Application Support team to troubleshoot and maintain existing production applications * Stay current with advances in AI/ML research and evaluate emerging tools, frameworks, and techniques for adoption. Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact* onlineaccommodations@nb.com.* Work Location: London, ENG, UK Availability: Full time
Job Title: Machine Learning Engineer Company: Quantcast Job Category: Machine Learning Roles & Responsibilities: The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain high\-frequency ML infrastructure that prices millions of advertising opportunities per second in a real\-time auction environment to maximise advertiser outcomes. In less than 100 milliseconds, our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics of internet users. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in their products. As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real\-time production systems to tackle challenges the company faces. What You'll Do * Design, code, test, and debug ML applications and constantly improve large\-scale global systems that respond to millions of real\-time requests per second, efficiently. * Run Machine Learning experiments to test new modeling ideas. * Collaborate with senior scientists and engineers to iterate on ML models and learn industry best practices for high\-quality ML products and large\-scale systems. * Write clean, efficient, and maintainable code using industry best practices. * Participate in code reviews and provide constructive feedback to team members. * Identify performance bottlenecks and optimise system components for enhanced scalability. * Keep up to date with developments in machine learning outside the company. * Receive hands\-on mentorship from senior scientists and engineers to help bridge academic concepts with industrial scale. Work Location: London, England, UK Availability: Full time
Job Title: Senior AI/ML Engineer Company: Cloudwick Technologies Job Category: Machine Learning Roles & Responsibilities: You will be expected to architect and deliver high\-quality, full\-stack AI/ML solutions across the entire development lifecycle, from proof of concept through to production, front\-end integration, and ongoing optimisation. Working closely with other engineers and stakeholders across the business, you'll drive the building of reusable platforms, responsive user interfaces, backend services, and best practices while continuously mentoring peers and elevating our technical expertise. This role reports to the Lead AI \& ML Engineer and sits within the Data function, working as part of a specialist AI engineering team. You'll lead and contribute to a mix of dedicated AI initiatives and larger cross\-functional projects alongside colleagues from Technology, Data, and Product. The role covers the full AI/ML engineering lifecycle, from discovery and back\-end deployment to front\-end user experience and monitoring. Responsibilities include: * Designing and implementing full\-stack agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on an AWS\-first stack. * Building intuitive front\-end interfaces (using modern frameworks like React, Vue, or Next.js with TypeScript/JavaScript) to seamlessly integrate generative AI features and chat interfaces into internal tooling and customer\-facing products. * Developing robust back\-end APIs and microservices (Python, FastAPI) for AI/ML solutions, ensuring security, high availability, scalability, and observability. * Building and maintaining production ML pipelines and services on AWS for non\-GenAI use cases (e.g., recommender systems, customer segmentation models, leveraging supervised, unsupervised, and/or econometric modelling). * Implementing CI/CD for ML services and full\-stack applications, writing infrastructure as code (Terraform, AWS CDK), and monitoring for system latency, model/data drift, and performance. * Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and strict compliance with privacy regulations. * Mentoring mid\-level/junior engineers and contributing to reusable components, architectural documentation, and engineering best practices that improve AI/ML delivery across the organisation. * Collaborating closely with data engineers, data scientists, UX/UI designers, and product managers to deliver impactful, end\-to\-end solutions. * Driving the evaluation of new AWS AI technologies, frameworks, and tooling, contributing architectural recommendations for continuous improvement and "build vs. buy" decisions. The role requires a blend of senior technical depth, system architecture capability, and strong product sense, including: Work Location: Hybrid remote in Bromley Work Location: Bromley, ENG, UK Availability: Full time
Job Title: Senior Machine Learning Engineer Company: Trainline Job Category: Machine Learning Roles & Responsibilities: Great journeys start with Trainline 🚄 We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best\-value rail and coach journeys across our app, website and partner channels. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play a key role in shaping technical direction and influencing stakeholders across the business, while helping to raise the capability of those around you. In this role as the Senior Machine Learning Engineer, you will... 🚄 * Work within cross\-functional teams alongside data scientists, software engineers, data engineers and product managers * Design and deliver machine learning models at scale that create measurable impact for the business * Own the end\-to\-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance * Shape technical direction for your area, making well\-reasoned architectural and modelling decisions that stand up at scale * Partner with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms * Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows * Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility * Take an active role in our AI and ML community, helping foster a culture of rigorous learning and experimentation Work Location: London, England, UK Availability: Full time
Job Title: Senior AIML Engineer Company: Welocity Job Category: Machine Learning Roles & Responsibilities: The Senior AIML Engineer will play a critical role in advancing our artificial intelligence and machine learning capabilities. Based in either Glasgow or Cambridge, this position is essential for driving innovation within our technology team. The role involves developing cutting\-edge AI and ML models and systems that will enhance the efficiency and capabilities of our operations. This position is a key part of our strategic aim to advance our technological edge in the marketplace. The successful candidate will lead complex projects, collaborating with cross\-functional teams to implement AI solutions that align with business objectives. This role offers an opportunity to work at the forefront of technology, with a focus on practical applications of AI and ML to solve real\-world problems. As a senior member of the team, the AIML Engineer will mentor junior engineers and contribute to the strategic planning of AI initiatives. ### Key Responsibilities * Develop and deploy advanced AI and ML models to improve operational efficiency and effectiveness. * Lead the design and implementation of AI solutions, ensuring they align with business goals and industry standards. * Collaborate with cross\-functional teams to integrate AI technologies into existing systems and processes. * Conduct research and stay updated with the latest advancements in AI and ML to incorporate cutting\-edge techniques into projects. * Oversee the data collection and preprocessing processes to ensure high\-quality data for model training. * Provide technical leadership and mentorship to junior members of the engineering team. * Evaluate and optimize AI models for performance and scalability. * Prepare technical documentation and presentations for stakeholders to communicate AI project results and insights. * Extensive experience with AI and ML frameworks such as TensorFlow, PyTorch, or similar. * Proven track record of designing and implementing AI solutions in a business environment. * Strong programming skills in Python, R, or Java with a focus on AI and ML applications. * Experience in leading AI\-focused projects and working in cross\-functional teams. * Strong analytical and problem\-solving skills with the ability to interpret complex data into actionable insights. * Excellent communication skills to articulate complex AI concepts to non\-technical stakeholders. * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI deployments. Work Location: London, ENG, UK Availability: Full time
