2099 Reinforcement Jobs - Page 44

1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre Roles and Responsibilities 1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre

Notice Period - 0 to 30 days Location - Chennai/Hyderabad Key Responsibilities: Lead end-to-end AI technical solutioning across multiple projects, ensuring alignment with business objectives, architectural standards, and long-term AI/ML strategy. Define and evolve the AI architectural vision and roadmap , integrating emerging technologies and best practices tailored to Healthcare IT needs. Design comprehensive AI/ML solutions covering data ingestion, processing, model development, deployment, and monitoring — with a focus on scalability, performance, security, and compliance . Partner with business stakeholders to translate functional requirements into scalable technical designs and contribute to shaping AI-related business strategy. Collaborate with data scientists, ML engineers, and cross-functional teams to guide development and ensure successful delivery , while providing hands-on mentorship and technical leadership. Maintain detailed documentation including architecture diagrams, solution designs, and technical guidelines to support knowledge sharing and reusability. Evaluate and recommend AI tools, technologies, and platforms — with a strong emphasis on Google Cloud Platform (GCP) services — to support enterprise AI initiatives. Lead Proof-of-Concept (PoC) projects to validate AI solutions, demonstrating business value and technical feasibility. Ensure all AI systems are compliant with healthcare regulations such as HIPAA , and uphold industry security and governance standards. Communicate effectively across all levels of the organization, simplifying complex AI concepts for non-technical stakeholders and ensuring alignment. Stay updated on AI trends, research, and industry innovations, and proactively identify opportunities for competitive advantage and efficiency. Work closely with both U.S. and Thryve leadership teams to provide regular updates on project status, risks, and strategic direction. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence , or a related field. 12+ years of experience in software engineering or architecture, with a substantial focus on AI/ML solutions. Strong understanding of machine learning paradigms (supervised, unsupervised, reinforcement learning) and familiarity with a range of algorithms and models. Hands-on experience with cloud platforms (preferably GCP ), and a strong command of AI/ML services within those ecosystems. Proven success in designing and deploying robust, enterprise-grade AI solutions in Healthcare IT environments. Proficient in programming languages such as Python , Java , or Scala , and frameworks like TensorFlow , PyTorch , Scikit-learn . Experience with MLOps practices and tools , focusing on automation and lifecycle management of AI models. Deep knowledge of healthcare regulations (e.g., HIPAA ) and familiarity with the healthcare data and compliance landscape. Strong leadership and communication skills , with the ability to guide technical teams and engage cross-functional stakeholders effectively. Demonstrated ability to influence technical decision-making , drive consensus, and lead AI strategy within a large-scale organization.

ob description About FX Wellness & Sports Tech: FX Wellness & Sports Tech is committed to empowering individuals to achieve their fitness goals through personalized training programs and state-of-the-art equipment. Job Summary: As a Female Fitness Trainer specializing in Strength and Conditioning at FX Wellness & Sports Tech, you will lead and motivate clients to optimize their physical performance and achieve their fitness objectives. Design and implement tailored strength training and conditioning programs that cater to the unique needs and goals of female clients. Empower individuals to build strength, improve endurance, and enhance overall health and well-being. Key Responsibilities: Conduct comprehensive fitness assessments to evaluate clients' fitness levels, goals, and any specific considerations. Design individualized strength and conditioning programs that focus on improving muscular strength, endurance, and flexibility. Provide hands-on instruction and guidance during training sessions, ensuring proper form and technique. Motivate and inspire clients to push their limits and achieve their fitness goals through positive reinforcement and encouragement. Monitor clients' progress, adjust training programs as needed, and provide ongoing support and motivation. Educate clients on the principles of strength training, nutrition, and recovery to support their overall fitness journey. Foster a supportive and inclusive training environment that empowers women to embrace their strength and athleticism. Qualifications: Certified Personal Trainer with specialization in strength and conditioning. Proven experience working with female clients in a fitness training capacity. Strong knowledge of strength training principles, exercise physiology, and nutrition. Excellent communication and interpersonal skills, with a passion for empowering women through fitness. CPR and First Aid certification preferred. Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Paid time off Schedule: Evening shift Morning shift Supplemental Pay: Commission pay Performance bonus Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Fitness Trainer: 1 year (Preferred) Weight Training: 1 year (Preferred) Strength Training: 1 year (Preferred) Ability to Relocate: Ernakulam, Kerala: Relocate before starting work (Preferred) Work Location: In person Job Type: Full-time Pay: ₹10,000.00 - ₹20,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Work Location: In person

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications—not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,100,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Application Question(s): What is your Notice Period? What is your current and expected CTC? Work Location: In person

As a Talent Acquisition Associate focused on product hiring , you will play a critical role in shaping high-impact product teams by identifying and attracting top-tier talent across Engineering, Design, Product Strategy, and Business Operations. This is a full-cycle recruiting role where you’ll own the process end-to-end—from sourcing to closing candidates—working in close collaboration with Product Owners, Engineering Managers, and Leadership to scale our in-house product teams with speed and precision. Job Title: Talent Acquisition Associate Employment type : Fulltime Exp Level : 1-3 years of exp only What You’ll Be Doing: Take complete ownership of the end-to-end recruitment process for product-centric roles across Engineering, Design, and Product Strategy functions Partner closely with hiring managers to understand team needs, product roadmaps, and ideal candidate profiles Actively source top talent via LinkedIn, job boards, communities, and internal referrals Screen and assess candidates for both technical proficiency and product mindset , ensuring strong alignment with our product development goals Schedule and coordinate interviews, gather feedback, and manage communication loops to move candidates quickly through the funnel Drive a seamless, high-touch candidate experience , from initial contact to offer acceptance Work flexible hours as needed to support distributed product teams and urgent hiring spikes What We’re Looking For 1–3 years of experience in full-cycle recruitment, ideally for product-based companies or startups Proven ability to hire for technical and product-oriented roles (e.g., AI Engineers, Product Managers, Fullstack Engineers, UX Designers, Cloud Engineers, Backend Developers) Strong sourcing skills with deep expertise in LinkedIn Recruiter, job boards, and industry networks Excellent communication skills and the ability to clearly understand and explain technical/product requirements A fast learner with high adaptability and a collaborative, can-do attitude Experience working in high-growth environments or with agile teams is a big plus Willingness to work flexible hours to meet evolving product team needs If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Location - Hyderabad Experience - 1-5 Years We are seeking an experienced Machine Learning Engineers specializing in Generative AI to join our core AI team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems. Key Responsibilities Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation Create robust evaluation frameworks for measuring and improving model performance Build and maintain agentic workflows for autonomous AI systems Collaborate with cross-functional teams to identify opportunities and implement AI solutions Required Qualifications Bachelor's or Master's degree in Computer Science, or related technical field 3+ years of experience in Machine Learning/AI engineering Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) Practical experience with LLM deployments and fine-tuning Experience with vector databases and embedding models Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architectures and implementation Preferred Qualifications Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) Knowledge of prompt engineering and chain-of-thought techniques Experience with containerization and microservices architecture Background in NLP and deep learning Background in Reinforcement Learning Contributions to open-source AI projects Experience with ML ops and model deployment pipelines Skills And Competencies Strong problem-solving and analytical skills Excellent communication and collaboration abilities Experience with agile development methodologies Ability to balance multiple projects and priorities Strong focus on code quality and best practices Understanding of AI ethics and responsible AI development 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. 3072581

Experience : 3.00 + years Salary : USD 1629-1740 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK IT Services and IT Consulting) What do you need for this opportunity? Must have skills required: Mechatronics, or related discipline Bonus Skills, Fusion 360/SolidWorks/Blender, Isaac Sim, ROS, ROS 2, URDF/xacro, C++, Python, Ubuntu UK IT Services and IT Consulting is Looking for: Job Title: Robotics Simulation & Control Engineer Location: Remote Employment Type: Full-time About The Role We’re looking for a Robotics Simulation & Control Engineer with strong expertise in ROS / ROS 2, robotics control, and simulation environments. You’ll be responsible for developing, testing, and refining robot behaviours in virtual settings, integrating control systems with real hardware via simulation. You’ll also use CAD tools to design environment objects and structures for use in simulated construction or navigation scenarios. This role is ideal for someone who enjoys working at the intersection of robotics, control systems, and digital environments. Key Responsibilities Develop control and behaviour logic for robotic systems using ROS / ROS 2 Build and maintain realistic simulation environments within Isaac Sim Use CAD software (e.g. Fusion 360, SolidWorks, Blender) to create environment assets Design and test control strategies in simulation before deploying to physical robots Interface with hardware teams to support real-world testing and control integration Analyse robot behaviour, sensor feedback, and system performance Maintain documentation and support reproducibility of all simulation workflows Requirements Advanced proficiency in Ubuntu, ROS / ROS 2 and simulation frameworks Strong proficiency in Isaac Sim, with an understanding of physics-based simulation, contact modelling, and GPU acceleration Strong coding skills in Python and C++ Experience with CAD tools for creating environment objects (stl, dae, etc.) and testing scenarios Understanding of robot kinematics, dynamics, control theory, and sensor fusion Experience With URDF/xacro And Robot Description Models Bachelor’s, Master’s or higher degree in Robotics, Mechatronics, Computer Science, or related discipline Bonus Skills Exposure to machine learning or reinforcement learning for control Have exposure to Control systems/Adaptive Control Having exposure to Computer Vision/Image Processing How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Job Summary We are looking for a highly experienced Senior Engineer with specialized knowledge in MIVAN shuttering and finishing works for high-rise residential/commercial real estate projects. The candidate will be responsible for executing and monitoring structural finishing works post MIVAN casting, ensuring high-quality standards and timely completion. Key Responsibilities Supervise MIVAN shuttering, reinforcement, and concrete works, ensuring precision and safety. Handle finishing activities post-MIVAN casting such as: Surface correction POP/putty application Waterproofing Tiling, painting, and final fixtures Coordinate with contractors, vendors, and internal teams to maintain project timelines. Ensure compliance with quality standards and specifications. Maintain accurate site execution records, work checklists, and daily reports. Conduct joint inspections for de-shuttering, finishing readiness, and handover stages. Monitor MEP finishing coordination (electrical/plumbing fittings) with civil finishing. Review and certify contractor bills and progress. Ensure material management and optimum utilization at the site. Identify site execution issues and implement corrective actions. Skills & Qualifications B.E./Diploma in Civil Engineering. Proven experience in MIVAN shuttering and finishing work. Strong knowledge of construction quality standards, detailing, and finishing checks. Ability to read and interpret structural & architectural drawings. Proficient in MS Office, AutoCAD; knowledge of project management tools is a plus. Strong leadership, coordination, and communication skills. Preferred Candidates Worked on large-scale residential high-rise MIVAN projects. Familiarity with RERA and safety compliance standards. Skills: construction quality standards,finishing works,painting,autocad,coordination,surface correction,communication,project management,waterproofing,ms office,structural & architectural drawing interpretation,mivan shuttering,compliance,pop application,structural,leadership,real estate,tiling

Key Responsibilities: Develop and manage detailed structural BIM models (RCC & Steel) in Revit based on inputs from the design engineering team. Support Design Engineers in creating and refining models, ensuring they reflect accurate design intent and calculations. Prepare construction-ready general arrangement drawings, reinforcement detailing, and coordinated drawing sets. Interpret structural calculations, design notes, and sketches to incorporate into the model effectively. Update models and drawings as per design changes, revisions, or value engineering inputs. Maintain BIM standards and documentation aligned with project and company requirements. Eligibility Criteria: Degree in Civil/Structural Engineering or Diploma 2–4 years of experience in structural Revit modeling, working in close association with design teams. Sound understanding of structural systems, detailing, and construction practices. Ability to read and interpret structural design calculations and apply them within BIM workflows. Experience up to LOD 400 modeling is preferable. Proficiency in Revit, AutoCAD. Basic exposure to design tools like ETABS, STAAD Pro, or SAFE is a plus. Good communication and coordination skills to work effectively in multi-disciplinary teams.

About Jivi Jivi is an AI-powered healthcare platform designed to transform primary healthcare for 8 billion people. Jivi is building an AI doctor to help consumers and medical professionals globally. Founded by Ankur Jain , GV Sanjay Reddy , and Andrew Ng ’s AI Fund , Jivi is built on a cutting-edge agentic AI platform. Its proprietary LLM model, Jivi MedX , has surpassed industry benchmarks, outperforming global LLM models in clinical reasonings. More than 120,000 people have already used Jivi from 50+ countries. Job Overview We are looking for a talented and driven AI Engineer / Data Scientist with expertise in AI and Machine Learning to join our innovative team. You will design and implement AI algorithms, work on machine learning models, and contribute to the core AI technology that drives our healthcare solutions. Responsible for analyzing large datasets, you'll extract meaningful insights to inform healthcare decisions and improve patient outcomes. Key Responsibilities Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset. Strong Analytical Skills: A keen analytical mind with the ability to extract actionable insights from complex datasets and a passion for applying AI to solve real-world challenges. AI/ML Model Development: Design, develop, and deploy machine learning models and algorithms to address various business challenges. Data Analysis and Preprocessing: Perform data collection, cleaning, preprocessing, and exploratory data analysis to ensure data quality and readiness for modeling. Feature Engineering: Identify and create relevant features to improve model accuracy and performance. Model Evaluation and Validation: Evaluate model performance using appropriate metrics and validate results through rigorous testing. Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver effective solutions. Research and Innovation: Stay up-to-date with the latest advancements in AI/ML and continuously explore new techniques and technologies to enhance our capabilities. Documentation: Document methodologies, processes, and results to ensure transparency and reproducibility. Team Player: Strong interpersonal and teamwork skills to collaborate effectively with multidisciplinary teams and contribute to a culture of innovation and excellence. Technical Skills Programming Skills: Strong proficiency in Python with familiarity in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Experience with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Extensive experience with Convolutional Neural Networks (CNNs), diffusion models, and transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: In-depth knowledge and experience with large language models (LLMs) and multimodal AI. Algorithmic Understanding: Strong understanding of a wide range of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications Work Experience: Minimum 3+ years of proven experience as AI researcher or similar. Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). Why Join Us? Work on cutting-edge AI-powered healthcare solutions that impact billions. Opportunity to lead and shape Jivi’s growth strategy in a high-growth, fast-paced environment. Competitive salary, performance-based incentives, and career growth opportunities. How to use Jivi? iOS app Android app WhatsApp Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Job Location: Chennai, Bangalore, Noida, Hyderabad As a Gen AI Researcher, you will develop and optimize domain specific large language models (LLMs) and small language models (SLMs) to address unique domain specific challenges and deliver innovative solutions. Your role includes creating advanced SLMs and LLMs for specific domains, focusing on supervised fine tuning, reinforcement learning from human feedback (RLHF), pre and post training, evaluation, and multi-modalities. Key Responsibilities: Conduct cutting edge research in the field of NLP and develop advanced SLMs and LLMs tailored to domain specific applications. Design, implement, and optimize language models to solve domain specific problems effectively and efficiently. Analyze and preprocess large datasets to ensure high-quality input for training SLMs and LLMs. Design and Evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements. Developing and implementing methods that extend and improve model capabilities, reliability, and safety Work closely with cross functional teams, including domain experts, data engineers, and software engineers, to integrate language models into the production. Publish research findings in top tier conferences and journals, and communicate results to both technical and non technical stakeholders. Keep abreast of the latest advancements in the field of NLP, ML, and AI, and apply relevant techniques to ongoing projects. Qualifications: Ph.D. in Computer Science, Computational Linguistics , Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML. Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field. At least 1 year of experience in developing and optimizing SLMs and LLMs, focusing on foundation model training, supervised fine tuning, reinforcement learning from human feedback (RLHF). Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various objectives Have solid ML and RL software engineering and scientific research skills Have produced novel research related to fine tuning SLMs / LLMs or improving upon pretrained SLMs / LLMs Proven experience in Gen AI libraries / frameworks, including but not limited to LangChain, LangGraph, LlamaIndex and LangSmith. At least 5 years of Research experience in one or more of these areas: NLP, speech, computer vision, Multimodal, machine learning, deep learning, or related fields. Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as evidenced by released code (e.g. on GitHub) or elsewhere Familiarity with domain specific applications and the ability to translate domain knowledge into effective language models. Knowledge of Responsible AI practices and compliance with relevant laws is a plus. Industry experience with large-scale data processing, distributed computing, or cloud platforms. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences. Ability to work collaboratively in a team environment and contribute to a positive and productive work culture.

Position: AI Architect -PERMANENT Only Experience: 9+ years (Relevant 8 years is a must) Budget: Up to ₹40–45 LPA Notice Period: Immediate to 45 days Key Skills: Python, Data Science (AI/ML), SQL Location- TVM/Kochi/remote Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills And Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns Skills: python,data visualization,nlp,ml,artificial intelligence,machine learning,sql,ai,statistics,aws,azure,data science (ai/ml),data science,deep learning

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position Reports To R&D Department Lead Your Role And Responsibilities In this role, you will have the opportunity to explore emerging technologies, creates intellectual property, and strengthens existing and future ABB offerings. We also provide R&D consultancy services to ABB Divisions and reap the benefits of open innovation by collaborating with Universities and startup companies. You will work in dynamic and creative teams, with a wide range of experience and expertise, carrying out applied research projects developing software engineering techniques to build intelligent systems for process industries. The work model for the role is Hybrid. This role contributes to the India Corporate Research Center (INCRC), located in Bangalore. You Will Be Mainly Accountable For Use cases and requirements gathering in cooperation with ABB’s business divisions and end customers for data-driven solutions along with evaluating and developing of mathematical algorithms and machine learning libraries for applications related to Industrial Process Automation business. Identifying and evaluating multiple design approaches and corresponding architectural solutions with a design rationale for machine learning systems. Developing proof of concepts, prototypes, and supporting pilot evaluation and productization of solutions. Adapting and optimizing machine learning algorithms to better utilize GPU and distributed clusters and communicating project results to experts and non-expert audiences. Creating Intellectual Property - Invention disclosures and publishing in scientific conferences and journals. Qualifications For The Role Ph.D. in a topic related to AI/ML in engineering from a reputed University with a good publication record and with a minimum of two years of relevant industrial research or post-doctoral experience. Proficiency in one or more programming languages and corresponding ML frameworks and libraries for interacting with industrial data. Good knowledge of supervised, unsupervised, semi-supervised, reinforcement learning techniques, time-series analysis, signal processing and related areas. Exposure to design, implementation and deployment of industrial machine learning systems with MLOps and efficient use of GPUs is preferred. Should have ability to collaborate and communicate effectively in English with internal and external partners What's In It For You We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More About Us Our Process Automation business offers a range of solutions for process and hybrid industries, including our industry-specific integrated automation, electrification and digital solutions, control technologies, software and advanced services, as well as measurement & analytics, marine and turbocharging offerings. #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunWhatRunsTheWorld Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning. 95019904

Senior Data Scientist – AI/ML (8–10 Years Relevant Experience Required) 📍 Location: Kochi / Trivandrum – Hybrid (3 Days a Week) 🕒 Notice Period: Immediate to 60 Days 💼 Experience: 11+ Years Total (Min. 8–10 Years Relevant) 💰 Compensation: Up to ₹40 LPA About the Role We are seeking an experienced and passionate Senior Data Scientist to join our dynamic analytics team. You will work closely with clients and internal stakeholders to deliver impactful AI/ML solutions, enabling data-driven decision-making across diverse business domains. Key Responsibilities Collaborate with business teams to translate complex problems into data science use-cases. Design and develop scalable AI/ML models tailored to client needs. Work with data engineers to gather, clean, and preprocess data. Implement ML algorithms including regression, classification, clustering, and deep learning. Collaborate with BI teams to build intuitive dashboards and visualizations. Work with application teams to deploy models as microservices (e.g., Flask, AWS Lambda). Contribute to team growth by mentoring junior data scientists. Required Skills & Experience Bachelor’s/Master’s in Computer Science, Statistics, or Economics. 4+ years of hands-on experience in data science projects. Proficient in Python or R, and ML libraries such as TensorFlow, scikit-learn, etc. Strong understanding of algorithms: Regression, SVM, Random Forest, Clustering, NLP, LLMs, etc. Experience with deep learning and reinforcement learning techniques. Exposure to cloud platforms – AWS / Azure. SQL, NoSQL, and data warehousing knowledge. Deployment experience via Flask, Azure Functions, or AWS Lambda. Familiarity with visualization tools like Power BI, Tableau, or Plotly. Preferred Soft Skills Strong communication and stakeholder management. Proactive problem-solving mindset. Team leadership and mentoring capabilities. Analytical mindset with attention to patterns and data accuracy. 🔍 Locations Preferred: Candidates from Kochi / Trivandrum preferred. Candidates from Chennai and Bangalore must be open to working from office during initial months. 📩 Apply Now if you’re ready to lead transformative AI/ML projects and build the future of data-driven innovation.

Bangalore,Karnataka,India Job ID 763418 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?

- Graduate or equivalent (up to 1 year of experience) - Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma - Good English language proficiency: verbal, writing, reading and comprehension - Strong analytical and communication skills - Passion for delivering a positive customer experience, and maintain composure in difficult situations - Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities • Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment • Provide floor support to Operations manager in running day to day operations working closely with Data Associates • Handle work prioritization and deliver based on business needs • Track and report ops metrics and ensure delivery on all KPIs and SLAs • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes • The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional Principal AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing and leading the designing, developing, and scaling novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. Responsibilities: Serve as the subject matter expert and lead developer for key GenAI technologies, encompassing various domains such as data pipelines, training and fine-tuning, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques. Play a leading hands-on role in all aspects of core GenAI research across the full stack of our GenAI platform. Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership. Participate in high-level technical decision making process within Articul8, contributing to technology assessment and roadmap planning. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Mentor and guide junior team members and help building a strong culture of rapid innovation Required Qualifications: Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field. Professional experience: 8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies. A strong background in parallel/distributed computing (preferably on the cloud). Proven track record of publications in top-tier conferences and journals. Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: PhD in Computer Science, Machine Learning (ML), or related technical fields. 8+ years of hands-on experience as an applied ML/AI researcher. Experience with cloud computing platforms such as AWS, Azure, or GCP. Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. Responsibilities: Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques. Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment. Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Required Qualifications: Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher. Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud). Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: 4+ years of hands-on experience as an applied ML/AI researcher Experience with cloud computing platforms such as AWS, Azure, or GCP. Proven track record of publications in top-tier conferences and journals Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

About the Role: Looking for a dynamic and hands-on Junior Research Engineer to support the experimental characterization, casting, and testing of Textile Reinforced Concrete (TRC) Panels under the supervision of the Senior Research Engineer. This role involves direct responsibility for preparing, executing, and documenting lab-scale and prototype-scale trials of TRC wall panels with variable reinforcement, mix designs, and geometries. The aim is to generate a robust experimental database for validating design methodologies and ensuring performance superiority over traditional wall systems. Key Responsibilities: 🔧 Experimental Casting & Fabrication Assist in preparing moulds , reinforcement frames, and casting beds for TRC panel production. Perform weigh batching, mixing, casting, and curing operations for panels with variable mix matrices and skin thicknesses (10 mm, 12.5 mm, etc.). Support the setup of prestressing mechanisms (wedge/thread-bar based), handle tensioning operations, and ensure safe practice. 🧪 Material & Mechanical Testing Conduct physical and mechanical property tests: Flow table, slump flow, setting time, compressive/flexural strength Pull-out, screwability, and impact tests Surface inspection for cracks, porosity, and defects Assist in preparing standardized datasheets for all panel configurations, including testing reports and failure observations. 📊 Data Handling & Documentation Record all experimental observations, process parameters, and testing results accurately. Assist in statistical analysis of results and correlate performance trends. Maintain material inventory, casting logs, curing cycles, and test records in a well-documented format. Required Qualifications: M.E/ M.tech in Structural Engineering, Construction Technology, or equivalent 0–2 years of experience in concrete casting, material testing, or construction R&D Familiarity with standard testing protocols (IS/ASTM/EN) and lab instrumentation Desired Skills & Attributes: Strong interest in experimental research and material innovation Attention to detail, punctuality, and commitment to accurate testing Basic knowledge of cement chemistry and concrete additives Ability to work independently and collaboratively in a lab/field environment Willingness to handle physical workloads in casting environments Growth Opportunity: Work alongside senior researchers on cutting-edge TRC technologies Build hands-on expertise in prestressed composites, thin-shell casting , and next-gen wall systems Direct contribution to a nationally relevant innovation and product launch 🌟 Join the Team That's Redefining the Future of Construction Imagine a world where buildings come together as effortlessly as LEGO® bricks — precision-engineered modules crafted in factories, delivered with unmatched speed, and assembled with intuitive simplicity. At the heart of this vision is our cutting-edge Research & Development team, relentlessly working to turn this bold future into a reality. 🚀 What We’re Building We are pioneering Modular Building Technology (MBT) — a transformative construction system that blends: Factory-level quality and consistency Rapid, scalable on-site assembly Innovation rooted in science and inspired by simplicity We're not just designing buildings — we're engineering systems that empower people to create spaces that are faster to build, safer to inhabit, and smarter to live in. 🤝 Who You'll Work With You’ll become part of a vibrant ecosystem where: Seasoned engineers bring wisdom from decades of experience Young innovators challenge boundaries with fresh ideas Cross-disciplinary minds from materials science, structural design, digital modeling, and fabrication unite around a single goal We thrive on collaboration over hierarchy, and value every voice at the table — because true innovation happens when diverse perspectives align. 🌟 R&D Team Charter – Modular Building Technology (MBT) This charter outlines the foundational principles, strategy, and cultural DNA that guide our R&D team in executing the mission of MBT — a vision to transform the way the world builds. 🚀 Our Mission To create a next-generation Modular Building Technology that empowers and enriches lives — a system so advanced in quality, precision, and reliability, yet so intuitive and seamless in assembly, that anyone, anywhere can build inspiring, durable, and scalable spaces. We envision MBT as a breakthrough in micro-construction — combining factory-made modules , snap-fit simplicity , and scientific depth , engineered to benefit not just individuals, but all of humanity. 📖 Our Principles 1. 🧠 Democratizing Construction Innovation We commit to broadly distributing the benefits of MBT by: Embedding scientific innovation at the core — from physics and chemistry to structural engineering and material science . Closing the gap between institutions and individuals by enabling decentralised construction empowerment . Making high-end construction technology accessible, modular, and replicable . 2. 🔬 Transforming Science into Real-World Impact Our duty is to convert scientific breakthroughs into user-centric, real-world solutions . We break silos by: Listening to end users and understanding ground realities. Partnering with construction communities to ensure seamless adoption. Designing systems that are not only innovative but intuitive and practical . 3. 🛡️ Safety at Scale – Without Slowing Down Innovation We recognize that scaling fast is necessary, but safety at scale is non-negotiable. Like supercars engineered to perform safely at high speeds, MBT must be resilient under rapid deployment . We aim to anticipate and address potential failures before scaling , not after — through simulation, prototyping, and robust frameworks. 4. 🧭 Technical Leadership with Purpose Policy and advocacy aren’t enough. To shape the future of construction: We must be on the cutting edge of MBT capabilities . We strive to lead with depth , not just opinion — bringing a combination of technical rigor , architectural elegance , and systemic insight . 5. 🤝 Radical Collaboration We don’t build in silos. We build with the world . Collaborating with scientists, architects, engineers, policymakers, health experts, and communities . Engaging internal and external stakeholders — from customers and companies to grassroots builders. Balancing openness and intellectual property protection , fostering innovation while respecting creator contributions. 💡 Core Values That Drive Our Team 🎯 MBT-First Focus We are relentlessly focused on building modular, fast, safe, intuitive systems that scale impact. If it doesn’t serve MBT, it’s out of scope. 🔥 Intense & Scrappy We work with urgency and ownership. We embrace the unglamorous , chase the unconventional , and do whatever it takes to make things work — always guided by truth and effectiveness. 💥 Think & Build at Scale We believe in the magic of scale — in our thinking, systems, ambitions, and models. When in doubt? Scale it up. 💖 Make Things People Love Our work should create joy, utility, and meaning in people’s lives. We aren’t just building walls — we’re shaping spaces that inspire, protect, and uplift . 🫂 Team Spirit True breakthroughs come from collaboration. We embrace cross-functional synergy , even when our teams differ in priorities. Our alignment of purpose ensures all efforts move us toward the same vision . 🔑 Own It – Nothing Is “Someone Else’s Problem” We take complete ownership — of problems, solutions, decisions, and outcomes. We act with integrity, initiative, and a bias toward action . 🌍 In Summary The future of construction is not built by chance — it is engineered by conviction, collaboration, and creativity . Through this Charter, we affirm our commitment to making MBT a living innovation — one that’s built on science, scaled through trust, and designed to serve people, planet, and purpose. Apply for Junior Research Engineer – FEM & Simulation (TRC Panel Design) : G-form Link : https://forms.gle/UHqKwWnh6zLq8Wm56

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations—including banks, financial institutions, and large enterprises—to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, every team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that our work not only advances technology but also meets the rigorous demands of regulated sectors. Role Overview As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You’ll lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities Model Evaluation & Customization: Evaluate, fine-tune, and implement appropriate AI/ML models on AryaXAI.com tailored for enterprise and regulated use cases. Consider factors such as accuracy, computational efficiency, scalability, and regulatory constraints. Architectural Assessment: Assess and recommend various model architectures, ensuring that selected solutions meet the high standards required by complex business problems in financial services and other regulated industries. Enterprise Integration: Lead the deployment of AI models into production environments, ensuring seamless integration with existing enterprise systems while upholding strict compliance and security standards. Advanced AI Techniques: Drive the development and implementation of state-of-the-art AI architectures, incorporating advanced explainability, AI safety, and alignment techniques suited for regulated applications. Specialization & Innovation: Take ownership of specialized areas within machine learning/deep learning to address specific challenges related to complex datasets, regulatory requirements, and enterprise-grade AI solutions. Collaboration & Quality Assurance: Collaborate closely with Machine Learning Engineers (MLEs) and Software Development Engineers (SDEs) to roll out features, manage quality assurance, and ensure that all deployed models meet both performance and compliance benchmarks. Documentation & Compliance: Create and maintain detailed technical and product documentation, with an emphasis on auditability and adherence to regulatory standards. Qualifications Educational & Professional Background: A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors. Regulated Industry Experience (FS, Banking or Insurance is preferred) Proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Technical Expertise: Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.). Diverse Data Handling: Experience working with varied data types—including textual, tabular, categorical, and image data—and the ability to develop models that handle complex, enterprise-level datasets. Deployment Proficiency: Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems. Publications & Contributions: Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.

Job Title : AI Developer Location : Motera, Ahmedabad, Gujarat Work Type : [Office-based, Remote, or Hybrid] Job Summary We are seeking a skilled and innovative AI Developer to join our team. The ideal candidate will design, develop, and deploy AI-based solutions, harnessing the latest advancements in artificial intelligence, machine learning, and deep learning. The role involves collaborating with cross-functional teams to create intelligent systems that solve real-world problems. Key Responsibilities Design and implement machine learning models and algorithms to address business challenges. Develop, train, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Integrate AI models into production-ready systems, ensuring scalability and performance. Conduct data preprocessing, feature engineering, and exploratory data analysis. Collaborate with software engineers and data scientists to create end-to-end AI pipelines. Optimize existing AI systems for accuracy, speed, and reliability. Stay updated on the latest AI research and technologies to incorporate best practices. Develop APIs and interfaces for AI systems to interact with other applications. Perform rigorous testing and validation of models to ensure robustness. Qualifications and Skills Required: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Proficiency in programming languages such as Python, Java, or R. Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of neural networks, NLP, computer vision, and reinforcement learning. Familiarity with data visualization tools and techniques. Excellent problem-solving and analytical skills. Preferred: Experience with MLOps and deploying AI models in production environments. Knowledge of big data technologies like Hadoop, Spark, or Apache Kafka. Certifications in AI/ML or related technologies. Experience in robotics, autonomous systems, or AI ethics. Key Attributes Strong communication and collaboration skills. A passion for innovation and staying ahead in the AI domain. Ability to work independently and as part of a team. Perks and Benefits Competitive salary and performance-based incentives. Flexible working hours. Opportunities for continuous learning and career growth. Access to cutting-edge tools and technologies. Job Types: Full-time, Part-time, Permanent, Fresher, Contractual / Temporary, Internship Pay: ₹8,000.00 - ₹15,000.00 per month Expected hours: 30 per week Location Type: In-person Schedule: Day shift Fixed shift Morning shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) JavaScript: 1 year (Preferred) Work Location: In person