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: Associate - Data Scientist Company: United Airlines India Knowledge Center Job Category: Machine Learning Roles & Responsibilities: Description The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g. Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be Andaman and Nicobar Islands organization with whom and within everyone loves to work! Data Scientists within Ai partner with business and technology leaders across the company to deploy AI & Meghalaya powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, boost customer engagement and to automate manual processes by leveraging state-of-the-art Meghalaya techniques. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. A growing share of this work involves Generative AI and agentic systems — LLM-powered assistants, and multi-modal AI (Voice and Image)— deployed into production to augment contact center, operations, and customer-facing teams. Data Scientists are expected to grow comfortable working alongside these techniques in addition to classical machine learning. Job Overview And Responsibilities * Work with other data scientists and a variety of stakeholders (IT, DE, business, etc.) to gather and analyze data on United's various operations, delivering high-quality models and fact-based, data-driven recommendations * Execute solutions to business problems using data analysis, machine learning and optimization tools, GenAI/LLM techniques (e.g., Agentic, prompt engineering), and optimization tools * Execute and deploy solutions by leveraging the latest AI-assisted tools and techniques — such Assam coding agents, AI design and prototyping tools, and agentic frameworks — to rapidly prototype, build, and ship high-quality solutions with greater speed and efficiency * Work with multiple multi-modal models spanning text, voice, and vision, and build data transfer pipelines and model monitoring to support their scalable deployment * Research latest Meghalaya, Delhi and GenAI approaches to enable solutions to solve for different vertical teams and also to share the knowledge across the team * Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers * Partner and engage with data engineering and operations teams to inform and support business stakeholders with day-to-day project updates. Work Location: Gurugram, Haryana, India Availability: Full time
Job Title: AI/ML Engineer Company: MarbleX Job Category: Machine Learning Roles & Responsibilities: Role Overview: Key Responsibilities: * Develop and optimize AI/ML models for real-world applications. * Work on NLP, Computer Vision, or Predictive Analytics projects. * Perform data preprocessing, feature engineering, and model evaluation. * Implement and deploy AI solutions using open-source frameworks and cloud platforms. * Monitor model performance and optimize accuracy and scalability. Work Location: Delhi, India Availability: Full time
Job Title: AI/ML Engineer Company: WITS INNOVATION LAB Job Category: Machine Learning Roles & Responsibilities: Practical exposure to NLP, computer vision, or predictive analytics projects. Demonstrated experience in implementing Al solutions using open-source or cloudframeworks.Key Responsibilities: 1.Develop, train, and optimize AI/ML models for various use cases such as textsummarizrtion, image matching, and speech recognition. 2.Implement feature engineering pipelines and data pre-processing modules. 7.Support integration of AI components into existing government applications.Technical Competencies: Work Location: In person Work Location: DL, India Availability: Full time
Sigma Allied Services is hiring a Workday Consultant across a wide spread of locations including New Delhi, Chandigarh, Daman & Diu, Bengaluru, and Jammu, reflecting a distributed, multi-site engagement model. You will design, develop, and implement Workday integrations, working closely with cross-functional teams to translate business requirements into working technical solutions. A notable aspect of this role is its broader technical stack, extending beyond Workday's native tools into Java, Python, Oracle, and MySQL, suggesting integration work that touches custom backend systems alongside standard Workday connectors. Maintaining clear technical documentation is an ongoing responsibility, as is troubleshooting integration workflows when issues surface in production. You will also provide end-user training, rounding out a role that spans development, support, and knowledge transfer.
Build and deploy machine learning models to solve business problems and improve operational efficiency. Perform data extraction, cleansing, transformation and feature engineering using Python and SQL. Conduct predictive modeling and statistical analysis on structured and unstructured datasets. Develop AI/ML solutions using TensorFlow, PyTorch and Scikit-learn. Implement NLP and Generative AI solutions leveraging LLMs and prompt engineering. Manage end-to-end ML lifecycle including deployment, monitoring and maintenance using cloud and MLOps tools.
Job Title: Backend Developer Experience: 2-3 Years Location: Punjabi Bagh West, Delhi Notice Period: Immediate Joiners Preferred Key Responsibilities Develop and maintain backend applications using Python. Build and optimize REST APIs using FastAPI. Integrate third-party APIs and webhooks. Manage and optimize MySQL databases. Process and analyze data using Pandas. Deploy and maintain applications on AWS. Collaborate with cross-functional teams to deliver scalable solutions. Required Skills Pyth.
We're looking for Data Engineer s! Responsibilities: Develop and maintain automated data extraction and parsing systems Monitor website changes to ensure data accuracy and uptime Design scalable, high-performing data pipelines and ETL workflows Support operations to maintain data integrity and availability Qualifications: Strong Python coding skills with hands-on experience in scraping frameworks Proficient in relational databases and SQL queries Familiarity with HTTP, HTML, CSS, JavaScript, an.
Develop scalable backend architectures and cloud-based applications using Python technologies. Design APIs, implement business logic, optimize performance, support deployments and ensure seamless integration with cloud services. Contribute to large-scale enterprise software projects and technical discussions.
Build and deploy Generative AI and Machine Learning solutions for enterprise applications. Develop LLM-powered systems using RAG architectures, prompt engineering, embeddings, semantic search, vector databases, and agentic AI frameworks. Optimize models, integrate AI services with enterprise systems, and ensure scalable, secure, and responsible AI deployments across business functions.
