780 Algebra Jobs - Page 26

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add Senior Analyst - Procurement position will be based in Coimbatore. What a typical day looks like: Maintaining relations with the suppliers. Placing orders for necessary raw materials and purchased parts according to the requirements of the production. Receiving and handling the confirmations. Checking the purchase orders and modifying them according to the changes in the production plan with the help of the Shortage List and the Open Purchase Order List. Tracking shipments, urging them if needed. Regular, weekly check of the stocks, avoiding overstock. Minimizing the risk of obsolescence with the help of the weekly check of the obsolete report. Correspondence with the freight forwarders, warehouses, and in case organizing the transportation. Dealing with claims, settling debit and credit issues. Filing and recording all necessary documents. Checking the inventory of critical materials (personally if needed) according to the Shortage List. Getting in touch with the right warehouse personnel and having the discrepancy modified if there is any inventory discrepancies. Handling purchasing data privacy. Assuring all active components according to production needs, in time, for the accord price in the request. Reviews requisitions and MRP output. Confers with vendors to obtain product information such as price, availability and delivery schedule. Orders, reschedules and cancels material based on requisitions and MRP output. Maintains procurement records such as items purchased, costs, delivery and inventories. Manages supplier to price, delivery and quality expectations and escalates when appropriate. Approves invoices for payment. Investigation inventory levels. Monitors the movement of materials through the production cycle. Conducts quarterly supplier reviews. Maintains procurement records, reports and metrics. The experience we’re looking to add to our team: Typically requires a bachelor’s degree or equivalent experience. Use of the following tools may be required: Working usage of Word, Excel and Power Point, English language knowledge, data entry, ten-key, spreadsheet (PC), ERP software. Ability to read and comprehend instructions, correspondence and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients and other employees of the organization. Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry. Ability to apply common sense comprehension to carry out instructions furnished in written, oral or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. What you’ll receive for the great work you provide: Health Insurance Paid Time Off #SS16 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first). Show more Show less

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: Data Scientist – GBS Commercial Location: Bangalore Reporting to: Senior Manager – GBS Commercial Purpose of the role We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Key tasks & accountabilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams 3. Qualifications, Experience, Skills Level of educational attainment required: BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Previous work experience required: Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Technical skills required: Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) And above all of this, an undying love for beer! We dream big to create future with more cheers. Show more Show less

About TAG Equations govern the world, and at The Algebra Group, we master them. We are a team of experienced and committed professionals dedicated to empowering enterprises of all sizes and supporting their growth by providing them with strategic insights at every stage of business progression. We are a one-stop solution for all their financial needs, including streamlined bookkeeping, insightful financial modeling, and powerful investor presentations. From providing comprehensive financial solutions to managed support services across the globe, we are the Partner to Success. Why TAG? Fastest growing startup in the services and consulting industry. Accelerated learning curve with founder-led expert mentorship. Young, collaborative, and high-energy work culture. Focused on on-the-job learning and development. Gain experience with SEO best practices and content optimization strategies. Collaborate with industry professionals to develop engaging and informative content. Roles and Responsibilities The Digital Marketing Executive would be a key player in TAG’s growth story, leading the vision from the front with the following roles: Collaborate with the team to create content strategies, maintain consistent messaging, and help shape TAG’s online presence and brand identity. Track and analyze the performance of digital marketing efforts, including SEO results, social media engagement, and content reach. Help create impactful marketing materials like case studies and infographics to drive business development and client engagement. Plan and execute social media campaigns on LinkedIn, Instagram, and Twitter, creating engaging content like posts, stories, and reels for our target audience. Support in optimizing website content and blogs to improve search rankings and increase organic traffic. Engage with followers on social media, responding to comments, messages, and fostering a community around TAG’s brand. Stay up-to-date with the latest trends on social media platforms and help apply those insights to improve TAG’s content and engagement strategies. Requirements 1- 2 years of experience in digital marketing, content creation, social media management, SEO, or related fields. Ensure brand consistency across all content while keeping it accurate, relevant, and engaging. Assist with keyword research and optimize content for SEO to enhance visibility and drive traffic. Stay current on industry trends and news. Extra miler with great analytical and creative skills. Bachelor's or equivalent in any discipline. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person

We are looking for a skilled AI Engineer (3 years of experience ) to join our team. The ideal candidate will have a strong background in machine learning, data science, and software engineering, and will play a key role in designing and developing intelligent solutions to real-world problems. Job Descrpition : · Design, build, and deploy machine learning and AI models. · Work with large datasets to extract meaningful insights. · Develop algorithms for classification, prediction, clustering, NLP, or computer vision. · Collaborate with data engineers, product managers, and software developers. · Optimize model performance, scalability, and reliability. · Stay updated with the latest trends and research in AI/ML. · Integrate AI models into production-ready applications or platforms. Requirements: · Bachelor’s/Master’s degree in Computer Science, Data Science, Mathematics, or related field. · Proven experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. · Proficiency in Python , SQL and data handling. · Experience with cloud platforms like AWS, Azure, or GCP is a plus. · Strong understanding of statistics, linear algebra, and probability. · Familiarity with MLOps, version control (Git), and model deployment tools. · Experience with NLP tools and libraries such as NLTK, spaCy, and Gensim. · Familiarity with computer vision libraries like OpenCV. Location : Noida sec 90 Candidate must be from DelhiNCR Job Type: Full-time Pay: Up to ₹900,000.00 per year Benefits: Paid sick time Paid time off Schedule: Day shift Monday to Friday Application Question(s): What frameworks and libraries have you used? How soon can you join ? what is your salary expectation ? what is your current salary ? what do you based ? Experience: AI: 3 years (Required) ML: 3 years (Required) Python: 3 years (Preferred) Work Location: In person

General Responsibilities: Teaching & Curriculum Delivery: Deliver lectures on Mathematics topics relevant to BBA and BCA courses (e.g., Business Mathematics, Quantitative Techniques, Discrete Mathematics, Statistics, Linear Algebra, etc.). Design lesson plans, lecture materials, and assignments as per the university/college syllabus. Use innovative and interactive teaching methodologies to enhance student learning. Assessment & Evaluation: Prepare question papers, evaluate answer sheets, and conduct internal assessments. Provide timely and constructive feedback on assignments, tests, and examinations. Syllabus Planning & Development: Contribute to curriculum development and syllabus updates in coordination with academic committees. Align course content with the learning outcomes and industry requirements. Academic Mentorship: Guide and mentor students on academic performance and mathematical problem-solving. Assist students in applying mathematical concepts in business and computer application contexts. Research & Professional Development: Engage in research, publish academic papers, and participate in seminars and conferences. Stay updated with the latest developments in mathematics and its applications in business and technology. Administrative & Departmental Duties: Participate in departmental meetings, college events, and examination duties. Maintain academic records, attendance, and report progress to department heads. Support for Co-curricular Activities: Encourage and support student participation in math-related competitions, workshops, and events. Organize seminars, guest lectures, or student projects that integrate mathematics with real-world applications. BBA-Specific Responsibilities: Teach mathematical concepts applied in business such as: Business Mathematics Financial Mathematics Quantitative Techniques Business Statistics Help students develop analytical skills for business decision-making. BCA-Specific Responsibilities: Teach mathematics courses relevant to computing such as: Discrete Mathematics Graph Theory Probability and Statistics Numerical Methods Job Type: Full-time Pay: ₹25,000.00 - ₹38,000.00 per month Schedule: Day shift Education: Master's (Required) Experience: TOTAL: 4 years (Required) Language: English (Preferred) Work Location: In person

About Company- MDIndia Health Insurance TPA Pvt. Ltd. was founded in November 2000, with exclusive focus on healthcare insurance and aim of providing TPA (Third Party Administration) services to Indian Health Insurance Sector. IRDA (Insurance Regulatory and Development Authority) issued the TPA License (No. 005) to MD India in March 2001 and very soon MD India became a leading company in the insurance industry. Our company wide reputation is built on Integrity, Knowledge, and Service. MD India Health Insurance TPA Pvt. Ltd. is a young, professional and dynamic organization with a strong workforce of 8000 plus professionals, including over 1000 medicos. Our company services over 25 cr. lives across India through a strong network of over 150 branches and 19000 plus empaneled hospitals and service providers. We are ISO 9001:2018 and 27001:2018 certified. We are associated with all the PSUs and 25 major private insurance companies. We believe in Care, Client Value Retention, Integrity, Respect, Nurturing, and Automation. Website - https://mdindiaonline.com Job Description Designation - Sr.Executive (Data Scientist) Location - Wadgaonsheri, Pune Experience - 2 to 3 yrs Type - On site, Full Time Work Mode - Office only Responsibilities Analyze large volumes of structured and unstructured data to extract meaningful insights. Build and deploy predictive models using machine learning algorithms. Design and execute A/B tests and experiments to validate hypotheses. Collaborate with business stakeholders to identify opportunities where data science can add value. Visualize data and communicate findings through dashboards and presentations. Work with data engineering teams to improve data availability, integrity, and pipelines. Requirements and skills Proven experience as a Data Scientist Understanding and experience of machine-learning, NLP . Knowledge of R, SQL and Python . Experience using business intelligence tool (e.g. Power bi ) would be an advantage and operations research Analytical mind and business acumen Strong math skills (e.g. Statistics, Algebra, Probability ) Problem-solving aptitude Key Skills Machine Learning, Python, SQL, NLP, Deployment. Benefits 1. Exposure in fastest growing industry 2. Experience in domain and support 3. In depth experience in Data Science If interested, kindly share your resume to bshinde@mdindia.com with below required details- Total Experience- Relevant Experience- Current CTC- Expected CTC- Current Company- Current Designation- Reason for leaving- Are you serving Notice period- If no, then Notice Period- How soon you can join, if selected- Current Location in Pune- Available for face to face interview- How many years of experience do you have in ML?- How many years of experience do you have in Python?- How many years of experience do you have in SQL?- Updated CV- Show more Show less

Job Description As a constantly growing company, Danfoss is looking for motivated employees who want to work with us on our success. We have an immediate opportunity for an Associate Engineer -Product Application to join us at our diverse team. The Associate Engineer -Product Application will be part of Rubber Hydraulics Hose and Fittings (RHHF) team in Fluid Conveyance group within Danfoss India Innovation Centre, Pune and will be reporting to Engineering Manager, RHHF team. The primary responsibility of this role is to provide customized application solution for Fluid Conveyance products like hoses, hose fittings, adapters, based upon specifications provided by customers through quotation request and products and capabilities defined by Product Engineering, Product Management and Manufacturing. Job Responsibilities Responsibilities for this position include, but are not limited to, the following . Interpret customer specifications and identify appropriate Fluid Conveyance products Work with customer on design issues, develop configuration to meet specifications & create CAD drawings. Coordinate prototypes development to meet/exceed customer requirements Strong mathematical aptitude and the ability to apply concepts of basic algebra and geometry. Confers with manufacturing, marketing, engineering, and other personnel to prepare product design modifications as required. Demonstrates effective communications both verbal & written with customer, team members and cross functional departments. Experience in comprehension and creation of Engineering documentation Demonstrated knowledge and use of GD&T and tolerance stack-up Ability to interpret a variety of instructions furnished in written, oral, diagram or schedule form. Ability to work on multiple projects / project teams simultaneously with emphasis on key customer prioritization Background & Skills The ideal candidate possesses these skills. Bachelor’s degree in mechanical engineering Min 1-3 years’ experience for bachelor’s degree in product application engineering in hydraulics domain Proficient in Siemens NX, Creo, AutoCAD and shall have hands on experience Knowledge of engineering standards like EN/SAE/ISO etc. Geometric Dimensioning & Tolerance (GD&T), Stack Up analysis, etc. Basic Knowledge of DMAIC / Lean methodology Familiar with PLM (Teamcenter) and Engineering change management process and execution of changes thru PLM. Employee Benefits We are excited to offer you the following benefits with your employment: Bonus systemPaid vacationFlexible working hoursPossibility to work remotelyPension planPersonal insuranceCommunication packageOpportunity to join Employee Resource GroupsState of the art virtual work environmentEmployee Referral Program This list does not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice. Danfoss – Engineering Tomorrow At Danfoss, we are engineering solutions that allow the world to use resources in smarter ways - driving the sustainable transformation of tomorrow. No transformation has ever been started without a group of passionate, dedicated and empowered people. We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business. To make sure the mix of people works, we strive to create an inclusive work environment where people of all backgrounds are treated equally, respected, and valued for who they are. It is a strong priority within Danfoss to improve the health, working environment and safety of our employees. Following our founder’s mindset “action speaks louder than words”, we set ourselves ambitious targets to protect the environment by embarking on a plan to become CO2 neutral latest by 2030. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category. Show more Show less

Flowserve is a world-leading manufacturer and aftermarket service provider of comprehensive flow control systems. Join a company whose people are committed to building a more sustainable future to make the world better for everyone. With 16,000+ employees in 50+ countries, we combine our global reach with local presence. Our team challenges themselves to approach each situation with ingenuity and creativity to help provide our customers with the most innovative flow control products and services. We support 10,000+ customers worldwide, creating products to meet the needs of our customers who are supplying energy, fresh water, pharmaceuticals and other essentials to consumers, businesses and governments globally. We invite you to put your talents and career in motion at Flowserve. Company Overview: If a culture of excellence, innovation and ownership is what you’re searching for, consider putting your experience in motion at Flowserve. As an individual contributor, or as a leader of people, your enterprise mindset will ensure Flowserve’s position as the global standard in comprehensive flow control solutions. Here, your opportunity for professional development and industry leading rewards will be supported by our foundational commitments to the values of people first, integrity and safety. Thinking beyond opportunity and reward, at Flowserve, we are inspired by working together to create extraordinary flow control solutions to make the world better for everyone! Role Summary: Plans, directs, and coordinates manufacturing processes involving machining, assembly, and testing. Develops, evaluates, and improves manufacturing methods, utilizing knowledge of product design, materials and parts, fabrication processes, tooling, and production. Analyzes and improves quality, cost, and delivery by using Lean and Six Sigma tools. Provides engineering support in production departments by trouble shooting and resolving technical issues. Responsibilities & Requirements: Investigates project/capital equipment proposals, develops justification, prepares requests for expenditure, acquires equipment, installs equipment, and ensures that justification goals are achieved. Partners with Manufacturing Supervisors to achieve Flowserve goals and objectives. Specifies and acquires factory supplies that reduce costs and improve effectiveness. Ensures availability of CNC programs to support new products and customer requirements. Assists with training, instructing, and maintaining a flexible operator CNC programming and tooling skill base. Ensures tooling and fixtures are available to support customer demand. Troubleshoots processed and equipment minimizing delays in production schedules. Assists with development of the profit plan and the manufacturing strategic plan. Track assigned capital projects and expenditures status to ensure timely completion and within budget. Keeps abreast of new developments in the field of machine tool equipment, tooling, and methods. Recommend innovative solutions when applications are feasible to improve throughput and quality. Understands and supports all Company objectives and performs duties delegated by management. Enforces safety rules by ensuring that tooling, fixtures, and process meet all applicable OSHA regulations. Enforces Flowserve's environmental policies by ensuring that processes meet all applicable environmental regulations. Subcontractors are made aware of Flowserve's applicable environmental policies and are managed to these policies. Demonstrates the ability and willingness to be a team player. Treats all customers and fellow employees with respect. Other duties as assigned. Preferred Experience / Skills: Proven track record of leading and driving cost reductions in a manufacturing environment utilizing Continuous Improvement Methodologies. Experience in a manufacturing environment. Ability to read and interpret documents such as safety rules, engineering drawings, operating and maintenance instructions, and procedures. Ability to write routine and technical correspondence. Ability to speak effectively before groups of customers or employees of the organization. Ability to comprehend and apply principles of advanced geometry, trigonometry, modern algebra, and advanced statistical theory. Ability to define problems, collect data, establish facts, and draw valid conclusions. Experience interpreting a variety of technical instructions in mathematical or diagram form and dealing with several abstract and concrete variables. BS or BA Degree in relevant field and / or 0-2 years relevant experience. Req ID : R-14906 Job Family Group : Engineering Job Family : EN Engineering EOE including Disability/Protected Veterans. Flowserve will also not discriminate against an applicant or employee for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-workers. Pay Transparency Nondiscrimination Provision If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access flowservecareers.com as result of your disability. You can request a reasonable accommodation by sending an email to employment@flowserve.com. In order to quickly respond to your request, please use the words "Accommodation Request" as your subject line of your email. For more information, read the Accessibility Process. Show more Show less

Flowserve is a world-leading manufacturer and aftermarket service provider of comprehensive flow control systems. Join a company whose people are committed to building a more sustainable future to make the world better for everyone. With 16,000+ employees in 50+ countries, we combine our global reach with local presence. Our team challenges themselves to approach each situation with ingenuity and creativity to help provide our customers with the most innovative flow control products and services. We support 10,000+ customers worldwide, creating products to meet the needs of our customers who are supplying energy, fresh water, pharmaceuticals and other essentials to consumers, businesses and governments globally. We invite you to put your talents and career in motion at Flowserve. Company Overview: If a culture of excellence, innovation and ownership is what you’re searching for, consider putting your experience in motion at Flowserve. As an individual contributor, or as a leader of people, your enterprise mindset will ensure Flowserve’s position as the global standard in comprehensive flow control solutions. Here, your opportunity for professional development and industry leading rewards will be supported by our foundational commitments to the values of people first, integrity and safety. Thinking beyond opportunity and reward, at Flowserve, we are inspired by working together to create extraordinary flow control solutions to make the world better for everyone! Role Summary: Plans, directs, and coordinates manufacturing processes involving machining, assembly, and testing. Develops, evaluates, and improves manufacturing methods, utilizing knowledge of product design, materials and parts, fabrication processes, tooling, and production. Analyzes and improves quality, cost, and delivery by using Lean and Six Sigma tools. Provides engineering support in production departments by trouble shooting and resolving technical issues. Responsibilities & Requirements: Investigates project/capital equipment proposals, develops justification, prepares requests for expenditure, acquires equipment, installs equipment, and ensures that justification goals are achieved. Partners with Manufacturing Supervisors to achieve Flowserve goals and objectives. Specifies and acquires factory supplies that reduce costs and improve effectiveness. Ensures availability of CNC programs to support new products and customer requirements. Assists with training, instructing, and maintaining a flexible operator CNC programming and tooling skill base. Ensures tooling and fixtures are available to support customer demand. Troubleshoots processed and equipment minimizing delays in production schedules. Assists with development of the profit plan and the manufacturing strategic plan. Track assigned capital projects and expenditures status to ensure timely completion and within budget. Keeps abreast of new developments in the field of machine tool equipment, tooling, and methods. Recommend innovative solutions when applications are feasible to improve throughput and quality. Understands and supports all Company objectives and performs duties delegated by management. Enforces safety rules by ensuring that tooling, fixtures, and process meet all applicable OSHA regulations. Enforces Flowserve's environmental policies by ensuring that processes meet all applicable environmental regulations. Subcontractors are made aware of Flowserve's applicable environmental policies and are managed to these policies. Demonstrates the ability and willingness to be a team player. Treats all customers and fellow employees with respect. Other duties as assigned. Preferred Experience / Skills: Proven track record of leading and driving cost reductions in a manufacturing environment utilizing Continuous Improvement Methodologies. Experience in a manufacturing environment. Ability to read and interpret documents such as safety rules, engineering drawings, operating and maintenance instructions, and procedures. Ability to write routine and technical correspondence. Ability to speak effectively before groups of customers or employees of the organization. Ability to comprehend and apply principles of advanced geometry, trigonometry, modern algebra, and advanced statistical theory. Ability to define problems, collect data, establish facts, and draw valid conclusions. Experience interpreting a variety of technical instructions in mathematical or diagram form and dealing with several abstract and concrete variables. BS or BA Degree in relevant field and / or 0-2 years relevant experience. Req ID : R-14987 Job Family Group : Engineering Job Family : EN Engineering EOE including Disability/Protected Veterans. Flowserve will also not discriminate against an applicant or employee for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-workers. Pay Transparency Nondiscrimination Provision If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access flowservecareers.com as result of your disability. You can request a reasonable accommodation by sending an email to employment@flowserve.com. In order to quickly respond to your request, please use the words "Accommodation Request" as your subject line of your email. For more information, read the Accessibility Process. Show more Show less

Company Description Ubisoft’s 19,000 team members, working across more than 30 countries around the world, are bound by a common mission to enrich players’ lives with original and memorable gaming experiences. Their commitment and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come. Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves. If you are excited about solving game-changing challenges, cutting edge technologies and pushing the boundaries of entertainment, we invite you to join our journey and help us create the unknown. Job Description Job summary: UBISOFT is seeking for AI Gameplay Programmer having proficiency in C++, Scripting, and strong skills in AI technologies applied to video game programming. Good 3D mathematical skills are required. Interest in video games and knowledge of different video game consoles like Xbox One X/S, PlayStation 4, 5 and other cutting-edge game consoles would be an advantage (But not a requirement). As an AI Gameplay Programmer, you will be working within the gameplay team to own at least one aspect of AI in a gameplay interaction system – designing, implementing, and polishing AI behaviors. Another responsibility of AI Gameplay Programmer is to come up with Tooling solutions for Technical Design. Common Requirements Minimum 3 Years of experience making video games as an AI Gameplay Programmer Knowledge of AI Solver Algorithms & Decision-Making Techniques Strong knowledge of Linear Algebra & 3D Math Excellent debugging and problem-solving skills Take ownership of entire features and components of the game lifecycle & lead the product design and code elements Good communication skills both verbally and written Exceptional attention to detail, accuracy, and commitment to maintaining high standards of work Team player with Positive and "can-do" attitude with critical thinking and problem-solving skills Experience developing character mechanics is a plus. Experience developing animation driven features and knowledge of Animation State Machines is a plus. Essential Technical Requirements and Duties: Strong programming skills in C++ Strong experience with Engine and Gameplay Dev Processes Understanding of multi-threaded principles Ability to work efficiently with a large, existing code base Proficient in refactoring and optimizing existing systems Collaborate with other members & departments of project team to deliver large and complex features on time and to a high standard Be part of the development process and contribute improvements and suggestions, driving the quality of the code throughout the entire production cycle Additional Information International collaboration game projects & AAA IP’s. Access to cutting-edge hardware. Experience using hottest internally developed game engines. Proficient and fun-to-work-with colleagues Show more Show less

About BNP Paribas Group BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking & Services) and Corporate & Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region. About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions. About Business Line/Function GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Job Title Data Scientist (Tabular & Text) Date Department: Front Office Support Location: Mumbai Business Line / Function Global Markets – Data & AI Lab Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. Documenting each step of the development and informing decision makers by presenting them options and results. Ensure the integrity and security of data. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level Bachelor Degree or equivalent Experience Level At least 1 year Show more Show less

Job Title: Soft Skills & Aptitude Trainer Location: KL Deemed to be University, Hyderabad Campus Department: Training & Placement Cell Employment Type: Full-Time / Contractual About KL University: KL Deemed to be University, one of India's leading institutions for higher education, is committed to producing industry-ready graduates. Our Hyderabad campus is focused on enhancing student employability through rigorous academic instruction and practical skill-building. Role Summary: KL University, Hyderabad is looking for a passionate and experienced Soft Skills & Aptitude Trainer to train undergraduate and postgraduate students in core employability skills. The ideal candidate will play a critical role in preparing students for campus placements, competitive exams, and corporate life. Key Responsibilities: Deliver classroom and online training in: Quantitative Aptitude: Arithmetic, Algebra, Geometry, Number Systems, Data Interpretation. Logical Reasoning & Analytical Skills. Verbal Ability: Grammar, Vocabulary, Reading Comprehension. Soft Skills: Communication Skills, Teamwork, Leadership, Time & Stress Management, Professional Etiquette. Conduct mock interviews, group discussions , and placement preparation bootcamps . Design customized training modules based on student assessments and company recruitment patterns. Track student progress and provide individualized feedback. Coordinate with the TPO and faculty coordinators to align training with placement goals. Stay updated with the latest trends in campus recruitment and industry aptitude standards. Desired Profile: Graduate or Postgraduate in any discipline. (MBA/MA English preferred for verbal trainers; B.Tech/M.Sc/MCA preferred for aptitude trainers.) 4 – 6 years of experience in Soft Skills and/or Aptitude Training. Experience in Campus Recruitment Training (CRT) preferred. Excellent command over English and good presentation skills. Ability to motivate, mentor, and connect with students. Preferred Qualifications: Certification in Soft Skills / Behavioral Training. Experience in training students for AMCAT, CoCubes, TCS NQT, Wipro Elite, Infosys, Capgemini , etc. Exposure to digital teaching platforms (e.g., Zoom, Google Meet, LMS). Show more Show less

Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis And Visualization Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication And Collaboration A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Quality Analytics. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less