2099 Reinforcement Jobs - Page 40

We’re looking for a highly creative and technically skilled Video Editor who can craft compelling, product-focused visual stories for a US tech-savvy audience. You’ll work closely with product marketing, design, and leadership teams to bring AI, Cloud, and Engineering innovations to life through impactful short-form videos. You must have the ability to transform raw footage, voiceovers, and visual assets into polished, platform-ready videos with tight editing, motion graphics, and narrative clarity — similar to this level of output: 📌 Appmod.AI – Code Modernization 📌 LinkedIn Product Launch 📌 Narrative & Motion Explainer Job Title: Video Editor Location: Hyderabad(Hybrid) work Employment type : Fulltime What You’ll Be Doing: Edit high-quality 60–90 second videos using Adobe Premiere Pro, After Effects, or similar tools Incorporate motion graphics, transitions, kinetic typography, and visual storytelling that elevate the final product Collaborate with product and creative teams to storyboard and shape the message for clarity and impact Adapt videos to various platforms (YouTube, LinkedIn, Instagram), using appropriate formats, captions, pacing, and hooks Maintain consistent brand tone, color grading, sound design, and animation style across projects Manage tight timelines while maintaining exceptional quality What We’re Looking For Hands-on experience editing explainer/product/marketing videos for tech or SaaS companies Strong portfolio showcasing polished motion editing, storytelling, and platform-specific cuts Proficiency in Adobe Premiere Pro, After Effects, and Adobe Creative Suite Experience creating motion design assets: lower thirds, icon animations, product overlays Deep understanding of visual pacing, audience engagement, and retention in a short attention span environment Familiarity with platform nuances for LinkedIn, YouTube, Instagram Reels , etc. Strong communication and collaboration skills, with attention to detail and creative independence 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.

Assessment & Diagnosis: Evaluate motor development, posture, balance, and coordination in children. Identify developmental delays, neuromuscular disorders, or orthopedic conditions. Use pediatric-specific assessment tools and scales. Treatment Planning & Implementation: Develop individualized treatment plans based on the child’s age, diagnosis, and functional goals. Use play-based therapy and child-friendly techniques to enhance motor skills. Provide early intervention for infants and toddlers with developmental delays. Therapeutic Interventions: Administer therapies for conditions such as cerebral palsy, muscular dystrophy, Down syndrome, spina bifida, and post-surgical rehab. Improve strength, flexibility, coordination, and functional mobility. Use assistive technology or orthotic devices when needed. Family & Caregiver Education: Educate parents and caregivers on home exercise programs and posture correction. Offer strategies to support motor development in daily routines. Collaboration: Work in multidisciplinary teams with pediatricians, occupational therapists, speech therapists, and educators. Participate in IEP (Individualized Education Program) meetings if working in school settings. Progress Monitoring: Document treatment progress and modify plans as needed. Provide reports to referring physicians, schools, or other healthcare professionals. Supportive Care: Create a safe and engaging environment tailored to children’s emotional and developmental needs. Encourage participation through positive reinforcement and age-appropriate communication. Requirements In-depth knowledge of pediatric growth and development Strong understanding of common pediatric conditions and treatments Excellent observation and assessment skills Creativity in engaging children in therapy sessions Patience and empathy Effective communication with children, families, and teams Documentation and report writing Ability to adapt therapy techniques to suit various ages and abilities

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 Location: Hyderabad (Hybrid) No of Openings: 2 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.

Designation: Sr. AI/ML Engineer Location: Gurugram Experience: 5+ years Budget: Upto 35 LPA Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Requirements Advanced understanding of supervised, unsupervised, and reinforcement learning. Familiarity with deep learning frameworks. Current experience in GenAI, RAG, and advanced RAG techniques like RAGA, Query expansion, KGRAG, etc. Strong knowledge of statistical modeling, hypothesis testing, and data exploration techniques. Proficiency in Python, along with experience in MongoDB. Understanding of code optimization and clean coding practices is important. Solid foundation in probability, linear algebra, calculus, and statistical inference. Experience in deploying machine learning models in production environments and familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Experience in leading data science and ML teams, including mentoring junior scientists and fostering a collaborative environment. Ability to manage projects, define milestones, ensure timelines are met, and communicate progress to stakeholders. Collaborating with software engineers and product managers to ensure alignment between our solutions and business goals. Understanding the company's overall business strategy and being able to align data science initiatives to support these objectives. Ability to translate complex ML/GenAI concepts into actionable insights for non-technical stakeholders. Experience in creating clear, thorough documentation for products/projects and experiments. Keeping up with the latest research, tools, and trends in data science and machine learning, especially in the area of GenAI, RAG, etc. Identifying and addressing complex data and business challenges, often through novel AI/ML approaches or hybrid solutions. This job was posted by Karthick Muthuraj from Contentstack.

Responsibilities As a Data Science (ML and AI) Intern, you won't be working on side projects; you'll be tackling real problems, influencing product direction, and working alongside a team that believes in asking why, not just how. Assist in developing and improving credit and fraud risk models using machine learning, deep learning, and rules-based approaches under the guidance of senior data scientists. Support the analysis of alternative data sources (e. g., mobile device data, bank statements) to enhance risk assessment and decision-making models. Help build and evaluate models related to customer behavior, including personalization, recommendations, referrals, and transaction categorization. Learn and contribute to the end-to-end machine learning pipeline from data collection and preprocessing to model development and basic production deployment. Participate in monitoring and evaluating the performance of models in production, learning how to identify issues and suggest improvements. Assist in data gathering, cleaning, and exploratory data analysis to support various data science projects and business initiatives. Engage with business and technical stakeholders to understand their data needs and help identify potential data-driven solutions. Notable Achievements Achieved the lowest fraud rate in LATEM markets by leveraging the very high capabilities of our multiple fraud detection models with real-time inferencing. Alternative data lending - built capabilities to extend credits to the underbanked segment in Mexico markets, fostering financial inclusion and financial freedom for everyone. Advanced reinforcement learning models and deep learning models to achieve hyper-personalisation for credit limit changes. Incorporated the Dynamic Risk-Based Pricing model to optimize the customer conversion rate. Developed a recommendation engine to personalize all communication to the end user. Requirements Proficient in Python programming, with a focus on coding for machine learning and deep learning applications. Strong in data analysis and data wrangling. Follow industry best practices and stay up to date with the latest machine learning/ GenAI algorithms and techniques to drive innovation. Knowledge of deep learning concepts like CNN, RNN, tokenization, transformers, and various NLP techniques. Bachelor's or Master's degree in Computer Science, Information Management, Statistics, or related field. Soft Skills Highly curious and passionate about problem-solving, with a strong drive to uncover insights and optimize solutions. Exceptionally detail-oriented, capable of working both independently and collaboratively in a fast-paced environment. Excellent communication skills, with the ability to translate complex concepts into clear, actionable insights for both technical and non-technical stakeholders. Energetic and proactive, with a strong learning aptitude and the audacity to take on challenges beyond their comfort zone. Not afraid to go above and beyond, demonstrating initiative and ownership in tackling tough problems. Nice To Have Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Experience with cloud services (like AWS or Google Cloud) and understanding of distributed systems. Exposure to GenAI models. Languages: Spanish, English (Level: advanced). This job was posted by Ankur Pal from Aplazo.

We are seeking a Senior Python Developer with 3-4 years of experience and a strong understanding of stock market dynamics, technical indicators, and trading systems. You'll take ownership of backtesting frameworks, strategy optimization, and developing high-performance, production-ready trading modules. The ideal candidate is someone who can think critically about trading logic, handle edge cases with precision, and write clean, scalable, and testable code. You should be comfortable working in a fast-paced, data-intensive environment where accuracy and speed are key. Responsibilities Design and maintain robust backtesting and live trading frameworks. Build modules for strategy development, simulation, and optimization. Integrate with real-time and historical market data sources (e. g., APIs, databases). Use libraries like Pandas, NumPy, TA-Lib, Matplotlib, SciPy, etc., for data processing and signal generation. Apply statistical methods to validate strategies (mean, regression, correlation, standard deviation, etc. ). Optimize code for low-latency execution and memory efficiency. Collaborate with traders and quants to implement and iterate on ideas. Use Git and manage codebases with best practices (unit testing, modular design, etc. ). Requirements 3-4 years of Python development experience, especially in data-intensive environments. Strong understanding of algorithms, data structures, and performance optimization. Hands-on with technical indicators, trading strategy design, and data visualization. Proficient with Pandas, NumPy, Matplotlib, SciPy, TA-Lib, etc. Strong SQL skills and experience working with structured and time-series data. Exposure to REST APIs, data ingestion pipelines, and message queues (e. g., Kafka, RabbitMQ) is a plus. Experience in version control systems (Git) and collaborative development workflows. Preferred Experience Hands-on experience with trading platforms or algorithmic trading systems. Familiarity with order management systems (OMS), execution logic, or market microstructure. Prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes. Knowledge of machine learning or reinforcement learning in financial contexts is a bonus. This job was posted by Human Resource from Codeline Tech.

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI, building scalable models and intelligent systems that power our next-generation sports tech platform Responsibilities Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4 etc. ) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Requirements Strong command of Python and familiarity with C/C++ Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e. g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems An undergraduate degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. This job was posted by Siddhartha Dutta from Tech At Play.

As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation, including AI-driven image/video generation, lip syncing, and multimodal AI systems. You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities Research and Develop: Design and implement state-of-the-art generative models, including Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. End-to-End Content Generation: Build and optimize AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Speech and Video Synchronization: Develop advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Real-Time AI Systems: Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Scaling and Production Deployment: Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). Collaboration and Research: Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. Experimentation and Validation: Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, and refine model architectures. Code Quality and Best Practices: Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. Requirements Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 3+ years of experience working with deep generative models, including Diffusion Models, 3D VAEs, GANs, and autoregressive models. Strong proficiency in Python and deep learning frameworks such as PyTorch. Expertise inmulti-modal AI, text-to-image, and image-to-video generation, audio to lipsync Strong understanding of machine learning principles and statistical methods. Good to have experience in real-time inference optimization, cloud deployment, and distributed training. Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training. Preferred Qualifications Experience with transformers and vision-language models(e. g., CLIP, BLIP, GPT-4V). Background in text-to-video generation, lip-sync generation, and real-time synthetic media applications. Experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation). Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis. This job was posted by Meghna Sidda from TrueFan.

As a Machine Learning Engineer at Avrio, you will play a crucial role in designing, developing, and deploying scalable machine learning models that drive our product innovation and enhance business outcomes for our clients. You will collaborate closely with the founding team and software engineers, contributing to the full machine learning development lifecycle from ideation and data collection to model training, optimization, and deployment. This is an excellent opportunity to work with cutting-edge technologies and make a significant impact on the technical direction of our AI-driven solutions. Responsibilities Design, develop, and deploy machine learning models to enhance product capabilities. Implement and optimize data pipelines to collect, clean, and preprocess structured and unstructured data. Apply machine learning algorithms and deep learning techniques for various business use cases, such as predictive analytics, recommendation systems, NLP, and computer vision. Leverage Python and ML frameworks (e. g., TensorFlow, PyTorch, Scikit-Learn) to develop scalable and efficient AI solutions. Work with relational (PostgreSQL) and non-relational databases (CouchDB) to store, query, and manage large-scale datasets. Develop and deploy machine learning models using cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Implement MLOps best practices, including CI/CD pipelines for model training, monitoring, and deployment. Collaborate with software developers and data engineers to integrate ML models into production environments. Write and maintain unit tests and integration tests to ensure the quality and reliability of AI systems. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience). 1+ years of experience in machine learning, data science, or AI-focused software development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc. ). Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). Experience in building scalable data pipelines for preprocessing and feature engineering. Strong background in OOP principles and software engineering best practices. Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines. Knowledge of RESTful APIs and GraphQL services, with experience in FastAPI being a plus. Strong problem-solving skills and the ability to work independently as well as in a team. This full-time role offers the chance to work on impactful AI-driven projects in a dynamic and growth-focused environment. This job was posted by Harshit Rai from Avrio Energy.

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities: Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

About Us Arcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested code. Build and consume RESTful or GraphQL APIs following best practices. Containerize microservices using Docker and collaborate on Kubernetes deployments. Implement and monitor background tasks with Celery, including retry strategies and alerting. Integrate third-party services via webhooks (e.g., Stripe, Razorpay). Set up WebSocket consumers using Django Channels to power real-time features. Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch. Write unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverage. Follow Git branching strategies and contribute to CI/CD pipeline definitions. Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required Qualifications Bachelor’s degree in Computer Science or a related field. 2–3 years of professional experience working primarily in Python. Strong proficiency with Python standard library and common packages (e.g., NumPy). Solid experience designing and consuming RESTful/GraphQL APIs. Hands-on experience with Docker and at least one cloud platform (AWS or Azure). Proven track record of writing tests with pytest or unittest frameworks. Familiarity with Git workflows and CI/CD best practices. Excellent problem-solving skills and clear communication.  Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch. Prior work with the Django web framework. Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning). Background in data analysis, statistics, or applied mathematics. Exposure to Celery task queues and real-time application patterns. Contributions to open-source Python or AI projects.

About This Role As a Staff AI Engineer you will get to play with petabyte data gathered from a multitude of data sources including Balbix proprietary sensors and 3rd party threat feeds. You will leverage a variety of AI techniques including deep learning, probabilistic graphical models, graph learning, recommendation systems, reinforcement learning, NLP, etc. And of course, you will be part of a team building a world-class product addressing one of the grand challenges in the technology industry. DATA SCIENCE AT BALBIX At Balbix we believe in using the right algorithms and tools to ensure correctness, performance and deliver an excellent user experience. We draw boldly from the latest in AI/ML research but are unafraid to go beyond bayesian inference and statistical models if the situation demands it. We are generalists, caring as much about storytelling with data, as about bleeding edge techniques, scalable model training and deployment. We are building a data science culture with equal emphasis on knowing our data, grokking security first principles, caring about customer needs, explaining our model predictions, deploying at scale, communicating our work, and adapting the latest advances. We look out for each other, enjoy each others’ company, and keep an open channel of communication about all things data and non-data. You Will Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment Design and implement algorithms for statistical modeling of enterprise cybersecurity risk Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation. Build production quality solutions that balance complexity and performance Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn You Are Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution Product-focused and passionate about building truly usable systems Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps Responsible and like to take ownership of challenging problems A good communicator, and facilitate teamwork via good documentation practices Comfortable with ambiguity and thrive in designing algorithms for evolving needs Intuitive in using the right type of models to address different product needs Curious about the world and your profession, constant learner You Have A Ph.D./M.S. in Computer Science or Electrical Engineering with hands-on software engineering experience 5+ years of experience in the field of Machine Learning and programming in Python. Expertise in programming concepts and building large scale systems. Knowledge of state-of-the-art algorithms combined with expertise in statistical analysis and modeling. Robust understanding of NLP, Probabilistic Graphical Models, Deep Learning with graphs structures, model explainability, etc. Foundational knowledge of probability, statistics and linear algebra

PhD position available in Applied Machine Learning, Reinforcement Learning, Optimization, and Control applied to energy arbitrage, sustainable energy systems, and managing renewable uncertainties via battery storage. Faculty: Dr. Vivek Deulkar Research area(s): Applied Machine Learning, Reinforcement Learning, Optimization, and Control applied to energy arbitrage, sustainable energy systems, and managing renewable uncertainties in a smart grid. Project overview: The work involves addressing challenges such as mitigating uncertainties in renewable generation with battery storage systems, achieving energy-efficient and carbon-efficient operation of HVAC and other electrical appliances to reduce peak energy loads and carbon footprint (thus obtaining sustainable and decarbonized energy consumption), and the use of battery storage systems for energy arbitrage. The selected candidate will have the flexibility to focus on one or more of these challenges, depending on interest and expertise. The work will involve tools and techniques from machine learning, reinforcement learning, stochastic modeling (including applied probability and Markov chains), optimization, and control theory. Desired candidate profile: We are looking for a motivated candidate who possesses: A strong foundation in mathematics A willingness to learn and apply methods from reinforcement learning, machine learning, probability, and sequential decision-making An interest in solving real-world energy problems through advanced computational and analytical methods Required qualifications and skills: A Master’s degree or a four-year Bachelor’s degree in Mathematics, Electrical Engineering, Electronics, Communication, Computer Science, or a related discipline. A strong background in mathematics. Candidates with prior exposure to reinforcement learning, machine learning, and applied probability are strongly encouraged to apply. Proficiency in programming in Python or MATLAB. More details about the eligibility criteria can be found here: https://plaksha.edu.in/phd How to apply: If interested, feel free to write an email to me (vivek.deulkar@plaksha.edu.in) for any queries. I will be happy to have a conversation with you. You can formally apply at https://plaksha.edu.in/phd (keep me in cc when you apply).

Job Requirements: A Piping Design Engineer will be responsible for following. Plant & Modules Layout arrangement to optimize space and materials Able to read and und understand the P&IDs and Process diagrams Plant & Modules Layout optimization for Operation and Maintenance purposes Piping & Material Requisition using automation tools from 3D data Design & modeling (3D) Conversant with piping components and their application Strong Knowledge of Piping Material Specifications, Valves and Valve datasheets and utility of valves Manage Projects and Libraries with 3D Design Tools and Material Requisition tool. Isometric drawings preparation, Extract and check isometrics.(layout) using AutoCad Prepare Plot plans, nozzle orientation, platform drawings, Structure details and GAD'S Preparation of the Equipment and Piping component datasheet as per the Codes and Standards Knowledge of materials and capability to select alternate materials as needed Coordinate with Process, Civil/Structural, Mechanical and Electrical & Instrumentation groups, Exposure to Design codes and standards applicable to onshore / offshore Oil and Gas industry. Should be capable of developing and coordinating activities for complex on-shore and off-shore plants. Able to perform basic mechanical calculations such as Pipe thickness, reinforcement calculations, Torque calculations for valves, Bolt area and flange calculations Meticulous attention to detail with getting design converted to Detailed drawing. Technical alignment of piping system and supplier follow up. Should be able to provide technical clarifications on Mechanical and Piping aspects to the Construction team at site Carry out independent checks and reviews. Ensure design outputs meet health and safety/environmental compliance. Carry out Piping stress analysis using CASESAR-II software under various operating and Design scenarios. Able to perform flange analysis and Nozzle Load analysis using CAESAR-II software Should be highly proficient in Static Piping stress analysis Dynamic analysis would be an advantage Awareness of various types of Pipe supports, special piping supports and their analysis Knowledge of engineered Piping components. Experience in ASME Codes such as ASME B 31.3, ASME 31.4, ASME B 6.5, ASME B 16.9, ASME B 16.34 etc. Work Experience : Required Qualifications & Competencies: Bachelor’s degree in Mechanical Engineering. 8+ years with Oil and Gas industry with added advantage of Upstream and Offshore facilities . Fluent English written and oral communication / interpersonal skills. Good interpersonal skills and working collaboratively with the -other teams. Good knowledge of piping design techniques, material and piping codes / standards Proficient in Piping Stress Analysis . Certification is advantage . Able to anlayse in CAESAR-II software Experience with Office applications (Word, Excel, PowerPoint). API certification is an advantage. Experienced in Piping Design as per ASME standards. Standard tools required are : AutoCAD 2D, PDMS, Smart plant, Naviswork Hands-on Experience with AutoCAD in developing Plant Layouts / Main Piping Layouts/ Pipe support. Good to have skills: Exposure to project planning software/tools. Experience with Share Point for document management. Interaction with structural engineering team members.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous Work Experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills Required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills Required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

Candidates for this position are preferred to be based in Bangalore and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You’ll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.

Who We Are: Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimisation & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are seeking an experienced Senior Machine Learning Manager to lead a growing team focused on building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. In this role, you will have the opportunity to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. ​Working closely with a high-performing team of ML scientists and engineers, you'll tackle some of Wayfair's most intellectually challenging problems in machine learning, latency, and scalability, while directly contributing to the company's bottom line. What You’ll do: Own the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. Lead the next phase of GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive significant incremental ad revenue and improve supplier outcomes. Build, coach, and manage a team of ML scientists focused on developing intelligent budget, tROAS, and SKU recommendations, creative testing frameworks, and simulation-driven decisioning that extends beyond the current platform capabilities. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalisation, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimisation. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. Act as SME and provide mentorship and technical guidance beyond own team on the broader DS/Eng org when needed What You’ll need: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 10+ years of industry experience, with at least 1-2 years experience as a manager of teams and 5+ serving as an IC on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organisation Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, e.g. Python, Golang, Rust etc. Nice to have: Experience with GCP, Airflow, and containerization (Docker) Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Machine Learning Scientist The Machine Learning Scientist is critical to the AI Core team by creating AI models from the ground up and steering model development through every stage, leading to the fulfilment of the research objective. Responsibilities: Experiment with advanced architectures like CNNs, RNNs, transformers, autoencoders etc. appropriate for the research objective Develop training strategies (e.g., self-supervised learning, few-shot learning) - Optimize loss functions and metrics for performance, manage hyperparameter tuning - Optimize training pipelines and debug training failures - Develop reproducible training/evaluation pipelines. Skills: Expertise in PyTorch/TensorFlow or other frameworks Strong Python skills (NumPy, SciPy, scikit-learn) and GPU acceleration (CUDA, cuDNN) Experience with ML experiment tracking (W&B, MLflow etc.) Experience with RL frameworks (Stable Baselines3, Ray RLlib) Passion: Building AI agents with superior capabilities Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, or a related technical field. 8+ years of experience in machine learning and deep learning Prior roles within AI research teams Background in chemometrics, spectroscopy, or analytical chemistry, desirable Advantage: Networks involving very large matrix operations About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.

Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career. Our Structural Engineering practice collaborates with architects, building owners, and builders to design elegant solutions for projects of all types, sizes, and levels of complexity. From designing the world’s tallest buildings and most extended spans to engineering inventive “jewel-box” structures and designing major expansion projects, we continually seek the best balance among the demands of form, function, sustainability, constructability, schedule, and budget. The Role We have an opportunity for a Site Engineer to join our Structural Practice. Candidates for the Site Engineer position should have 3 to 7 years' work experience in reinforcement checking, mivan or aluminum shuttering, formwork checking, concrete pour, and placement checking. Responsibilities Capability in reading and interpreting drawings. Reinforcement detailing knowledge of both IS456 and ACI 318. Special seismic detailing experience. 3 to 7 years' work experience in reinforcement checking, mivan or aluminum shuttering, formwork checking, concrete pour, and placement checking. Coordination of design work with our clients and other design professionals including Architects and other Engineering disciplines. Preparation of construction documents within a BIM environment. Capability of calculating structural quantities from drawings. Requirements Bachelor’s degree in Civil Engineering. Working knowledge of current industry software, including but not limited to Revit, AutoCAD, MS office. Lives in Gurugram area of NCR. Ability and willingness to travel to TT's India offices when required. Willingness to work at the site office in Gurugram provided by the client. Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Thornton Tomasetti Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Beware Of Recruitment Fraud: Scammers may attempt to impersonate Thornton Tomasetti. Messages from our firm come only from the ThorntonTomasetti.com domain, Thornton Tomasetti does not use any third-party recruiters. When in doubt, please contact us through our web form here and see how you can protect yourself online here.

Job title: Manager - Certified Global Customer-Engagement Platform Adult Learning Specialists Location: Hyderabad About the job Strategic context: Sanofi has currently the best and most robust pipeline of R&D and consequent new launches of our history. As new phase of Play-To-Win strategy, funding this pipeline and new launches is key to materialize the miracles of the science to improve people lives. Thus, as we enter the next phase, modernization of Sanofi is required as per the recent announcements on DRIVE, and in this respect, we are in the beginning stages of organizing the Go-to-Market Capabilities (GTMC) team at global level. The GTMC organization will help us to drive best-in-class capabilities across the board and bring value and excellence in our commercial operations. This move is a key part of the aimed modernization of Sanofi and will allow us to focus on our priorities across our products, market and pipeline through the reallocation of resources and realizing the efficiencies of removing silos that exist between our business units, avoiding the duplication and overlapping of resources, standardizing our processes and tools, operating with a One Sanofi approach to accelerate our key capabilities development, and fostering the entrepreneurial spirit by speeding up the decision making. Customer Facing CRM & Platforms team aims for: Centralize Go-to-Market excellence and operational tasks across Global Business Units (GBUs), Standardize best-in-class capabilities with strengthened global support while verticalization of reporting within GTMC from local to global, Define clear ways of working and bringing clarity on interfaces with GBUs, Digital, and executional support on commercial operations from Sanofi hubs to optimize process excellence and efficiency. The Sanofi Global CRM organization is looking for an Adult Learning Specialist, certified as trainer for the digital platforms “VEEVA CRM”, “Veeva 4M” and “VEEVA ALIGN” for all user roles (front and back-office). Creating a positive learning environment is essential to learner adoption. The incumbent is required to design and deliver learning offerings that are role- and business-specific. The incumbent must set realistic and measurable learning targets. The learning program has to focus on both, the learner’s mindset and skillset development. The scope is: 1.) Refresh existing users’ knowledge through appropriate training 2.) Upgrade existing self-learning resources (videos, guides, e-learns, FAQ) and evolve capability to create new later on Main responsibilities: 50% - Train existing certified front-line staff (customer-facing sales, medical and home office marketing and medical) for continuous improvement in the usage of VEEVA CRM and VEEVA 4M. Train existing certified VEEVA Administrators on Veeva CRM BACK-OFFICE and VEEVA ALIGN capabilities. The goal is to foster an adoption and collaboration mindset besides the technical digital usage capabilities. Format: Designing and leading online group trainings (in English and in the Asian languages), conducting business case-based role-plays with the learners. Join the quarterly check-ins with line managers to present the next quarter reinforcement training plan for their teams and identify, design and align further reinforcement learning action plans for subsequent execution that arise from the quarterly Middle Manager sessions. Measure attendance and effectiveness via participant feedback survey and share with the Global OneCRM organization. Build plans to close identified knowledge and adoption gaps and define implementation plans. The languages for sessions have to be ensured in English and in the Asian languages. For all European languages the zoom sessions need to be set-up in activating the zoom AI translation tool. 40% - Self-learning Content Management: Update existing self-learning content for the platforms needed due to planned platform upgrades. To do so, participate in the Governance to gain first-hand information on planned platform upgrades and changes. Update the FAQ on a quarterly basis in close collaboration with the UAT team and in reviewing the UAT system for these changes to take screenshots and build suitable self-learning resources reflecting business cases Manage the global training SharePoint with the new and updated monthly self-learn content. Organize monthly market sessions with the local learning counterparts to present content evolution plans as well as sharing the new/updated deliverables, ensuring that markets promptly localize, translate and cascade. Ensure markets update their local training share points which are market users go-to place. According to the global governance the provided English global core materials have to be loaded immediately and subsequently replaced by locally adapted and translated materials within one month. Track regularly that markets promote the local training sharepoint monthly and all local users know where to find their locally adapted and translated self-learning content. With evolving capabilities, the activity may include the monthly built of new self-learning content for the above-mentioned VEEVA platforms. 10% Team supervision and development. About you. Work Experience: Bachelor's degree and 7+ years' experience as an adult trainer responsible for digital usage capabilities and mindset development. Experience in organizational and behavioral change management. Experience in researching, creating, delivering, and tracking business and results-oriented digital adult learning programs. Experience in blended learning strategies. Proven delivery of outstanding results. Ability to lead change while achieving business goals and objectives, act for change, challenging continuously the status quote, High persistency and resilience. Soft and Technical skills : Excellent project management skills ,Potential to evolve to a trainer with wider capabilities later on that will also comprise new hire training and new content development to use these platforms and develop an adoption mindset Proficient in PPT and Excel , Articulate content design tool experience Excellent verbal and written communication, Attention to detail is key, as content is highly visible within the organization , A learning and listening mindset Strategic analysis and planning, project management, excellent English language knowledge and skills (written and oral), IT knowledge and skills, proven impactful communication, presentation, persuasion, skills ability to work cross-functionally. Certified as trainer for the digital platforms “VEEVA CRM”, “Veeva 4M” and “VEEVA ALIGN” for all user roles (front and back-office).Ability to conduct research internally, to deliver content as needed, Business: Numerate and analytical skills; Ability to prioritize; Robust knowledge in Digital, IT and CRM; Financial acumen; Over achievement against set objectives; Ability to work on their own initiative and make quality decisions; Excellent interpersonal skills to communicate, present, persuade and argument among all GBUs teams and partners. Leadership: Leads by example and walks the talk; Role models Play-To-Win principles and behaviors: Engages others through active and impactful communication; Demonstrates a high level drive, passion and ambition for high performance; Challenges continuously the status quo; Develops fresh approaches in order to deliver results; Has well-developed time management skills, mastering in prioritizing tasks and planning own workloads to ensure deadlines and desired results are met. Networking: Is a strong relationship builder; Seeks out new opportunities; Demonstrates teamworking and shares best practices always; Has experience of successfully leading projects in multicultural environments and in a matrix organization. Education : Graduate/Postgraduate or Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/Business Analytics or related field (e.g., PhD / MBA / Masters) Languages : Excellent knowledge in English and strong communication skills – written and spoken Personal Characteristics: Hands-on, accountability, creativity, initiative, high persistence and resilience, stress management, learning agility, result orientation, ability to work on one’s own, continuous improvement, listening skills, empathy to understand the needs of the different businesses within distinct geographies. Why chose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Play an instrumental part in creating best practice within our Go-to-Market Capabilities.

Job Description : ABODE School is looking for an Assistant Teacher who supports the main teacher in delivering engaging and effective classroom instruction for students in Grades 1 to 5. The role involves helping with lesson preparation, student supervision, academic reinforcement, classroom management, and promoting a positive and nurturing learning environment. Key Responsibilities: Assist the Class Teacher in implementing daily lesson plans and academic activities Support individual and small groups of students with reading, writing, math, and other subjects Help maintain classroom discipline and ensure a safe, clean, and organized classroom Prepare teaching materials, worksheets, and learning aids as instructed by the teacher Monitor student progress and provide feedback to the teacher Help manage student records, homework correction, and documentation Foster a supportive, inclusive, and respectful learning environment Substitute for the main teacher in case of short absences whenever required Job Type: Full-time Schedule: Day shift Work Location: In person Application Deadline: 01/07/2025

Key Responsibilities: Lead Inventory and Pricing Optimization Initiatives: Design and implement predictive and prescriptive models to optimize inventory placement, demand forecasting, pricing optimization, clearance models etc. Advanced Modeling & Machine Learning: Apply techniques such as time series forecasting, probabilistic modeling, optimization algorithms (e.g., MIP), and reinforcement learning to solve inventory and pricing-related problems. Cross-functional Collaboration: Partner with stakeholders across supply chain, merchandising, and technology to align machine learning/analytics initiatives with business goals and operational constraints. Innovation & Thought Leadership: Identify emerging trends and technologies in supply chain and pricing optimization; evaluate and prototype novel and pragmatic solutions to complex problems. Mentoring & Leadership: Provide technical mentorship to other data scientists and contribute to the overall impactful growth of the organization. Effective Communication: Have effective communication skills to convey complex quantitative analyses, analytic methodologies, and findings in a clear, concise, and actionable manner Operational Impact: Translate data insights into actionable recommendations that directly influence decisions around inventory planning, replenishment, and distribution. What We're Looking For : PhD or Master’s degree in a quantitative field from a reputed college (e.g., Operations Research, Statistics, Computer Science) 10+ years of industry experience in data science, with a strong focus on inventory, pricing and supply chain optimization Deep understanding of inventory theory, supply chain planning, stochastic modeling, forecasting and optimization techniques Proficient in Python, SQL, and one or more optimization libraries (e.g., Gurobi, Pyomo) Strong background in ML model development and experience in implementing large models in production. Experience with large-scale data platforms (e.g., Spark, Snowflake, Databricks) Strong business acumen with the ability to communicate complex technical ideas to non-technical stakeholders Preferred Qualifications: Experience in retail, e-commerce, or manufacturing supply chains Familiarity with WMS, and/or Network optimization tools (Optilogic, Llamasoft) Experience working in Agile or cross-functional product teams Prior experience leading technical teams or projects Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com. Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do: Build Championship Teams Obsessed with Fans Limitless Entrepreneurial Spirit Determined and Relentless Mindset Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... The Consultant – Training Delivery is a Trainer-of-Trainer role responsible for facilitating trainer/instructor certifications. Equip and support trainers/instructors, internal and/or external, with the knowledge, skills, and behaviors they need to be successful in delivering training solutions to learners. This role is expected to take part in trainer/instructor quality assurance processes to ensure a successful experience for learners and overall business success. Training Delivery and Preparation Training and certifying Verizon trainers and/or partner trainer/instructors to deliver successful training programs across Verizon’s broad training curriculum using a variety of learning methodologies, media, and materials across multiple functional workgroups Equipping trainers/instructors with high-level technical and functional knowledge, skills, and behavior relevant to their training program Ensuring that trainers/instructors demonstrate strong facilitation skills to deliver training effectively Infusing Verizon nuances into knowledge transition so that learning experiences are in alignment with Verizon strategy Having a learner-centered mindset in order to continuously ensure that an optimal experience is being created for learners Facilitating trainer/instructor certifications as scheduled Providing trainers/instructors with continuous coaching and reinforcement for learning journey objectives Working with Verizon instructional designers on to ensure that certification documentation (e.g., Learning Album Leader Guides, supporting collateral) are effective for trainers/instructors Consulting Managing and supporting strategic relationships with local Verizon channel leaders (internal) and/or Partner site leaders (external) Providing feedback and guidance to trainers/instructors and their leaders to ensure Verizon expectations are met Observing and rating trainers/instructors to ensure trainers/instructors meet Verizon Standards; provide “get well” recommendations and reskilling for those who fall below Verizon Standards Evaluating training effectiveness; report outcomes and recommendations to leadership (internal and partners) Identifying and initiating continuous improvement actions to enhance outcomes for learners including recommending enhancements/changes to Verizon instructional design, recommending and delivering upskilling/reskilling for trainers/instructors, working with partner L&D teams on location specific-nuances (e.g., learning content, learning design, and learning plan flow) Partnering with Verizon and Partner instructional design and delivery teams on design, delivery and evaluation of trials/pilots to meet unique partner business needs Representing GL&D in Audits associated with external partners and/or general Verizon compliance / operating guidelines; assume responsibility for any L&D related action items Aligning and supporting all partner SOW requirements which include operating guidelines and compliance What we’re looking for... You’ll need to have: Bachelor's degree or four or more years of work experience. Three or more years of relevant work experience. Three or more years of experience delivering training to adults. Willingness to travel domestically and internationally up to 50-75% of the time. Willingness to work a flexible shift based upon business need, including USA based working hours. Even better if you have one or more of the following: A Masters Degree Excellent training facilitation skills. Experience leading Training Certifications. Demonstrated ability to be flexible and adaptable to changing needs and circumstances. Wireless Communications experience. BPO Management/Training experience. Curriculum Design experience Project/program management experience Supervisory experience. Experience with Google Suite and Smartsheets. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools. Key Responsibilities Very good expertise in Machine Learning (Classical) and Deep Learning Candidates with Reinforcement Learning experience will be preferred. Very good expertise in Data Science and Statistical concepts Excellent in building ML models using Tensorflow & Pytorch frameworks. Expertise in Python and SQL. Candidates with experience in applying ML in Telecom preferred (not mandatory) Basic Qualification - M.S or Phd in AI/Data Science/CS Job Requirements Very good expertise in Machine Learning (Classical) and Deep Learning Candidates with Reinforcement Learning experience will be preferred. Very good expertise in Data Science and Statistical concepts Excellent in building ML models using Tensorflow & Pytorch frameworks. Expertise in Python and SQL. Candidates with experience in applying ML in Telecom preferred (not mandatory) Basic Qualification - M.S or Phd in AI/Data Science/CS Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.