780 Algebra Jobs - Page 20

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data engineers to ensure the availability and quality of data for model training. Deploy machine learning models into production environments. Collaborate with cross-functional teams to integrate models into existing systems. Continuously optimize and improve the performance of machine learning models. Stay updated on the latest advancements in ML algorithms and technologies. Work closely with software engineers to ensure seamless integration of AI/ML solutions. Collaborate with clients to understand their business requirements and customize solutions accordingly. Technical Skills Excellent programming skills with the ability to implement complex algorithms in Python or R. Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models. Strong experience of minimum 5 years in developing and implementing machine learning algorithms. Experience with model deployment and integration into production systems. Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras. Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance. Ability to collaborate effectively with cross-functional teams. Previous experience working on real-world AI/ML projects. Should be focused on linear algebra, machine learning, and statistics & probability are preferred. Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills. Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success. For more details please visit our social media handles: Show more Show less

A dedicated and passionate Maths Teacher committed to helping students understand and enjoy mathematics. Skilled in delivering engaging and interactive lessons tailored to diverse learning styles and abilities. Experienced in teaching a wide range of mathematical topics, including algebra, geometry, calculus, and statistics, while fostering critical thinking and problem-solving skills. Creates a supportive and inclusive classroom environment that encourages student participation and academic growth. Strong communicator with a talent for breaking down complex concepts into simple, relatable explanations.

We are looking for a talented AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions that solve complex problems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and deploy AI models and algorithms that enhance our products and services. Key Responsibilities: AI Model Development: Design, develop, and deploy AI models and algorithms, including machine learning, deep learning, and natural language processing (NLP) models. Data Processing: Collect, clean, and preprocess data for training and testing AI models. Algorithm Optimization: Optimize and fine-tune models for performance, accuracy, and scalability. Integration: Integrate AI solutions into existing systems and applications. Research: Stay up-to-date with the latest AI research and technologies, and apply them to solve real-world problems. Collaboration: Work with data scientists, engineers, product managers, and other stakeholders to understand requirements and deliver AI solutions that meet business needs. Documentation: Document the AI models, processes, and methodologies used in the development lifecycle. Testing and Validation: Implement and conduct rigorous testing and validation of AI models to ensure their robustness and reliability. Maintenance: Monitor and maintain deployed AI models, ensuring they continue to perform as expected over time. Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: Proven experience in developing and deploying AI models and algorithms. Programming: Proficiency in programming languages such as Python, R, Java, or C++. Libraries and Frameworks: Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and others. Data Handling: Strong understanding of data structures, data modeling, and data processing techniques. Mathematics: Solid foundation in mathematics, including statistics, linear algebra, and calculus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong written and verbal communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. Teamwork: Ability to work effectively in a collaborative team environment. Preferred Skills and Qualifications: Experience with Cloud Platforms: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models. Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, or Apache Flink. NLP and Computer Vision: Experience in developing NLP and computer vision applications. Version Control: Proficiency with version control systems like Git. DevOps: Understanding of DevOps practices for continuous integration and deployment (CI/CD) of AI models. Industry Knowledge: Experience in applying AI in specific industries such as healthcare, finance, retail, or manufacturing. Show more Show less

Online Advertising is one of the fastest growing businesses on the Internet today, with Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computationally intelligence and scalable algorithms. Eventually Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, data mining, machine learning, statistical modeling, optimization, linear algebra, and micro-economics, to solve challenging problems that arise in online advertising. We are looking for a self-motivated Senior Software Engineer to join our dynamic Microsoft Advertising Delivery Engine team within the Microsoft AI organization. Our team focuses on building highly scalable distributed systems, leveraging microservice architecture, optimizing system performance, building ML and AI inferencing services on CPU and GPU. As a member of our team, you will participate in all stages of our engineering lifecycle, from initial research and discovery to designing and delivering features end-to-end. You will have ample opportunities to demonstrate your technical abilities and contribute to the success of our cloud services. Today, we design, develop, and operate a global ads marketplace that has a double-digit annual growth rate. This is a self-motivated and results driven environment that will unleash your potential. We need candidates who have shipped products or worked on large scale online services and have 7 or more years of relevant software development experience. This is a rare opportunity to influence technology development in an important growth area at Microsoft. You will design, implement, analyze and tune complex algorithms operating on large datasets in collaboration with top scientists and engineers across Microsoft’s global R&D team. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Architect and build low latency and high throughput system. Collaborate, socialize, and drive cross-team technical initiatives. Participate in design and code reviews . Mentor junior engineers in the team. Ensure high code quality, live site reliability, and scalability in our services. Drive new investments and vision for the product that you will own. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with SQL and Database design. Experience with Frontend and Backend technologies. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Bachelor's Degree in Computer Science OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Solid data structure and algorithm concepts. Solid design and problem-solving skills . Experience with FullStack. Experience with GPU programming. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Required Skills: C++: Strong proficiency in modern C++ (C++11/14/17/20). CUDA Programming: Extensive experience in developing, debugging, and optimizing CUDA applications. GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA. Parallel Computing: Solid understanding of parallel algorithms and multi-threaded programming. Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and numerical methods. Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar Primary Responsibilities: Software Development: Develop and maintain high-performance applications using C++ and CUDA. Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization: Optimize CUDA kernels for performance, scalability, and memory efficiency. Analyze performance bottlenecks and propose innovative solutions. Code Review and Testing: Conduct code reviews to ensure adherence to coding standards and best practices. Develop and execute test cases to validate functionality and performance. Collaboration: Work closely with the software engineering and research teams to understand requirements and deliver robust solutions. Provide technical guidance and mentoring to junior team members when necessary. Documentation: Write and maintain technical documentation, including design specifications and user manuals Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Schedule: Day shift Morning shift Ability to commute/relocate: Kandivali West, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): This is an onsite (office) job. We are looking for a local MUMBAI candidates only for this role. Are you based out of Mumbai? Experience: C++ (C++11/14/17/20): 4 years (Required) CUDA Programming: 4 years (Required) GPU Optimization: 4 years (Required) Debugging/Profiling tools(Nsight, CUDA Memcheck etc): 4 years (Required) Work Location: In person

Job Title: AI/ML Trainer (Contractual – 4 to 5 Months) Location: Hyderabad (Onsite Preferred) Experience Required: 2 to 4 years Contract Duration: 4 to 5 Months (Extendable based on performance and requirement) Job Type: Contractual / Freelance Trainer About the Role: We are seeking an experienced and passionate AI/ML Trainer to deliver hands-on training for a structured Artificial Intelligence & Machine Learning program. This is a contract-based opportunity ideal for professionals with strong technical expertise and a flair for teaching. Key Responsibilities: Deliver in-depth classroom and lab-based training sessions on core AI/ML topics. Design, develop, and maintain training material, assignments, and project modules. Conduct doubt-clearing sessions, assessments, and live coding exercises. Guide students through capstone projects and real-world datasets. Evaluate learner performance and provide constructive feedback. Stay updated with the latest industry trends, tools, and techniques in AI/ML. Topics to Cover: Python for Data Science Statistics and Linear Algebra Basics Machine Learning (Supervised, Unsupervised, Ensemble Techniques) Deep Learning (ANN, CNN, RNN, etc.) Natural Language Processing (NLP) Model Deployment (Flask, Streamlit, etc.) Hands-on with libraries: NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV Tools: Jupyter, Git, Google Colab, VS Code Eligibility Criteria: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 2–4 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills. Ability to mentor and engage learners of varying skill levels. Prior training or teaching experience (academic or corporate) preferred. Job Type: Contractual / Temporary Contract length: 4 months Pay: ₹466,229.74 - ₹1,666,220.30 per year Benefits: Food provided Schedule: Day shift Morning shift Work Location: In person

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. 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. Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add Senior Analyst - GBS 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 #SS03 Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We 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).

Embark on a transformative journey as a Risk Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of Risk Model Validation, you would be reviewing the stress testing models in the Trading Risk Independent Validation team of the bank. To be a successful Risk Model Validation you should have experience with: Academics / Education - postgraduate in a quantitative discipline, for example mathematics, physics, quantitative finance, or quantitative field. Experience in mathematical skills, including in probability, statistics, differential and integral calculus, linear algebra, stochastic calculus, and numerical methods; Strong Experience on programming skills in languages / packages such as Python, C++, or Matlab. Some other highly valued skills may include: The ideal candidate will have proven ability to understand several traded risk modelling approaches, including models for VaR, PFE and initial margin, and their strengths and weaknesses. Exposure to the knowledge around the financial products pricing and fundamentals is a plus. Exposure to the stress testing frameworks like IST or CCAR would be an added advantage. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Noida location. Purpose of the role To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. Accountabilities Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models. Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses. Assessment of any compensating controls used to mitigate Model risk. Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement. Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning. Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Data Scientist II BANGALORE, KARNATAKA / TECH – DATA SCIENCE / FULL TIME EMPLOYEE About the Team Our Data Science team is the Avengers to our S.H.I.E.L.D 🛡. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimization, and platform venularization. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait – there’s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting “Summer of 69” at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️ About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilization of the generated data. Other things you will do are: -Work closely with the business stakeholders -Transform scattered pieces of information into valuable data -Share and present your valuable insights with peers What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognize end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organizational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning , etc Familiarity with tools like SQL, R, Python , etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: -Experience in working on personalization or other ML problems -Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift About It is India’s fastest-growing e-commerce company. We started in 2015 with the idea of helping mom & pop stores to sell online. Today, 5% of Indian households shop with us on any given day. We’ve helped over 15 million individual entrepreneurs start online businesses with zero investment. We’re democratizing internet commerce by offering a 0% commission model for sellers on our platform — a first for India. We aim to become the e-commerce destination for Bharat. We’re currently valued at $4.9 billion with marquee investors supporting our vision. Some of them include Sequoia Capital, Softbank, Fidelity, Proses Ventures, Facebook, and Elevation Capital. We were also featured in Y Combinator’s 2021 Top Companies List and were the only Indian startup to make it to Fast Company’s The World’s 50 Most Innovative Companies in 2020. We ranked 6th in LinkedIn's Top Startups List 2021. Our strongest asset is our people. We have gender-neutral and inclusive policies to promote our people-first culture. Our Mission Democratize internet commerce for everyone Our Vision Enable 100M small businesses in India to succeed online Show more Show less

Job Title AI/ML Trainer (Contractual – 4 to 5 Months) Location: Hyderabad (Onsite Preferred) Experience Required: 2 to 4 years Contract Duration 4 to 5 Months (Extendable based on performance and requirement) Job Type Contractual / Freelance Trainer About The Role We are seeking an experienced and passionate AI/ML Trainer to deliver hands-on training for a structured Artificial Intelligence & Machine Learning program. This is a contract-based opportunity ideal for professionals with strong technical expertise and a flair for teaching. Key Responsibilities Deliver in-depth classroom and lab-based training sessions on core AI/ML topics. Design, develop, and maintain training material, assignments, and project modules. Conduct doubt-clearing sessions, assessments, and live coding exercises. Guide students through capstone projects and real-world datasets. Evaluate learner performance and provide constructive feedback. Stay updated with the latest industry trends, tools, and techniques in AI/ML. Topics To Cover Python for Data Science Statistics and Linear Algebra Basics Machine Learning (Supervised, Unsupervised, Ensemble Techniques) Deep Learning (ANN, CNN, RNN, etc.) Natural Language Processing (NLP) Model Deployment (Flask, Streamlit, etc.) Hands-on with libraries: NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV Tools: Jupyter, Git, Google Colab, VS Code Eligibility Criteria Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 2–4 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills. Ability to mentor and engage learners of varying skill levels. Prior training or teaching experience (academic or corporate) preferred. Skills: ml,scikit-learn,tensorflow,jupyter,natural language processing,opencv,learning,teaching,python for data science,google colab,deep learning,model deployment,numpy,training,keras,linear algebra,statistics,pandas,git,vs code,contractual,artificial intelligence,machine learning Show more Show less

About the Role A Senior Machine Learning Engineer is an accomplished expert in designing and deploying advanced machine learning solutions. They possess deep expertise in algorithms, programming languages like Python, and specialized frameworks. This role involves leading complex machine-learning projects, making critical architectural decisions, optimizing performance models, and collaborating with interdisciplinary teams. Senior Machine Learning Engineers contribute to cutting-edge research, develop innovative solutions, and stay at the forefront of the field to deliver impactful and state-of-the-art machine learning applications. Responsibilities Designing and programming machine learning methods and integrating them into our ML framework/pipeline. Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science. Provide mentorship and guidance to junior machine learning engineers, to review and improve their code, ensuring adherence to coding standards, performance optimization, and maintainability. Helping junior team members enhance their technical skills and overall professional development. Stay up-to-date with the latest advancements and trends in machine learning, deep learning, and related fields. Conduct research and explore new technologies, frameworks, and tools to improve our machine-learning models and processes. Collaboratively design and implement machine learning systems and infrastructure, leveraging your experience to make informed decisions and drive successful outcomes. Requirements B.E.\B. Tech\M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image, and signal processing, or statistics preferred. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world data. Strong programming background, and knowledge of software engineering concepts (OOP, design patterns). Knowledge of machine learning libraries TensorFlow, Jax, Keras, Scikit-learn, PyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, advanced probability concepts, linear algebra. Ability to perform both independent and collaborative research. Excellent written and spoken communication skills. A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems is a big plus. 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 - GBS 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 #SS03 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

About the job A little about us... LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across 35 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more info, please visit www.ltimindtree.com Job Details- We are having a weekend drive for the requirement of a Data Scientist at our Bangalore office. Date - 14th June Experience - 4 to 12 Yrs. Location – LTIMindtree Office Bangalore Whitefield Notice Period - Immediate to 60 Days only Mandatory Skills- Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD : More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen. Show more Show less

BENGALURU, KARNATAKA, INDIA FULL-TIME SOFTWARE ENGINEERING 3528 Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure the optimization of hardware and software for maximum performance. In this hybrid role, you will report to a Software Engineering Manager. You will: Analyze the performance characteristics of code generated by our production grade compiler, and design and implement optimizations to improve that performance Design and implement compiler support for novel features of our high-performance architecture Work with hardware architects to understand and influence the development of our unique neural network inference platform through hardware/software codesign Work with model developers to tune their neural networks for better inference efficiency and accuracy You have: BS degree in Computer Science/Electrical Engineering or equivalent experience and 5+ years of industry experience OR MS degree in Computer Science/Electrical Engineering and 3+ years of industry experience PhD degree in Computer Science/Electrical Engineering and 1+ years of industry experience 3+ years experience working on compilers for parallel architectures 1+ years experience working with ML inference or linear algebra computation C++ programming skills We prefer: Python programming experience Experience with compilers for neural networks Knowledge of computer architectures used for neural network inference, and neural network performance characteristics Knowledge of the principles behind popular machine learning and neural network algorithms and applications The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range ₹5,500,000—₹6,650,000 INR

BENGALURU, KARNATAKA, INDIA FULL-TIME SOFTWARE ENGINEERING 3527 Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this hybrid role, you will report to a Software Engineering Manager. You will: Maximize performance of our neural networks by enhancing and extending our production grade compiler Work with hardware architects and model developers to develop understanding of our unique neural network inference platform and neural networks Implement compiler support for novel features of our high-performance architecture You have: BS degree in Computer Science/Electrical Engineering or equivalent practical experience and 3+ years of industry experience OR MS degree in Computer Science/Electrical Engineering and 1+ years of industry experience OR PhD Degree in Computer Science/Electrical Engineering or equivalent years of experience 1+ years of industry and/or academic experience with compilers and parallel computing 1+ years of industry and/or academic experience working with ML inference or linear algebra computations C++ programming skills We prefer: Python programming experience Experience with compilers for neural networks Knowledge of computer architectures used for neural network inference, and neural network performance characteristics Knowledge of the principles behind popular machine learning and neural network algorithms and applications The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range ₹3,400,000—₹4,110,000 INR

Embark on a transformative journey as a Risk Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of Risk Model Validation, you would be reviewing the stress testing models in the Trading Risk Independent Validation team of the bank. To be a successful Risk Model Validation you should have experience with: Academics / Education - postgraduate in a quantitative discipline, for example mathematics, physics, quantitative finance, or quantitative field. Experience in mathematical skills, including in probability, statistics, differential and integral calculus, linear algebra, stochastic calculus, and numerical methods; Strong Experience on programming skills in languages / packages such as Python, C++, or Matlab. Some Other Highly Valued Skills May Include The ideal candidate will have proven ability to understand several traded risk modelling approaches, including models for VaR, PFE and initial margin, and their strengths and weaknesses. Exposure to the knowledge around the financial products pricing and fundamentals is a plus. Exposure to the stress testing frameworks like IST or CCAR would be an added advantage. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Noida location. Purpose of the role To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. Accountabilities Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models. Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses. Assessment of any compensating controls used to mitigate Model risk. Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement. Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning. Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Show more Show less

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, and experiment results clearly and consistently Support in integrating AI/ML models into production environments Stay updated with the latest trends and techniques in machine learning, deep learning, and AI Participate in code reviews, sprint planning, and product discussions Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras Knowledge of data preprocessing, feature engineering, and model validation techniques Understanding of probability, statistics, and linear algebra Familiarity with tools like Jupyter, Git, and cloud-based notebooks Problem-solving mindset and eagerness to learn Good communication skills and the ability to work in a team Internship/project experience in AI/ML is a plus Education B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions . With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients. Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies! Show more Show less

Embark on a transformative journey as a Risk Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of Risk Model Validation, you would be reviewing the stress testing models in the Trading Risk Independent Validation team of the bank. To be a successful Risk Model Validation you should have experience with: Academics / Education - postgraduate in a quantitative discipline, for example mathematics, physics, quantitative finance, or quantitative field. Experience in mathematical skills, including in probability, statistics, differential and integral calculus, linear algebra, stochastic calculus, and numerical methods; Strong Experience on programming skills in languages / packages such as Python, C++, or Matlab. Some Other Highly Valued Skills May Include The ideal candidate will have proven ability to understand several traded risk modelling approaches, including models for VaR, PFE and initial margin, and their strengths and weaknesses. Exposure to the knowledge around the financial products pricing and fundamentals is a plus. Exposure to the stress testing frameworks like IST or CCAR would be an added advantage. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Noida location. Purpose of the role To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. Accountabilities Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models. Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses. Assessment of any compensating controls used to mitigate Model risk. Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement. Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning. Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

Company Overview Telamon HR Solutions is a leading recruitment firm dedicated to connecting talented professionals with dynamic companies. Our mission is to provide top-notch recruitment solutions while upholding our values of integrity, excellence, and customer satisfaction. We pride ourselves on fostering a culture of collaboration and continuous improvement, ensuring that both our clients and candidates experience success. Job Title: Software Test Engineer Location: Pune Role Responsibilities Conduct comprehensive testing of medical devices to ensure compliance with standards. Develop and implement test plans for various medical devices. Perform risk assessments and evaluate potential hazards associated with device usage. Document and communicate test results and findings to stakeholders. Collaborate with engineering teams to understand product specifications. Ensure adherence to industry regulations and quality standards during testing process. Maintain accurate records of all testing activities and outcomes. Provide training and guidance to junior staff on testing procedures. Identify and troubleshoot issues that arise during testing processes. Assist in the development and review of technical documentation for devices. Participate in cross-functional teams to enhance product development processes. Monitor testing environments to ensure optimal conditions for test execution. Support regulatory submissions by providing necessary documentation and evidence of compliance. Stay updated with industry trends and advancements in medical device testing. Facilitate meetings with stakeholders to discuss testing strategies and outcomes. Must-Haves 5+ years in software verification. Minimum 3+ years experience in Java, Groovy, JUnit, and Selenium. Minimum 1+ year experience in either Geb or Spock, and Page Objects. Minimum 1+ year experience with CI/CD Systems. Experience with at least two of the following: Git, Jira, Eclipse, IntelliJ, SQL. Education : Bachelor’s degree in Computer Engineering, Computer Science, or a related field. Qualifications Bachelor’s degree in Biomedical Engineering or related field. Minimum 5 years of experience in Software testing. Strong understanding of regulatory requirements for medical devices. Experience with quality management systems (QMS). Proficient in developing and executing test protocols. Hands-on experience with laboratory testing equipment. Ability to analyze and interpret complex data effectively. Excellent written and verbal communication skills. Strong attention to detail and organizational abilities. Creative problem-solving skills to address testing issues. Experience working in a collaborative team environment. Knowledge of standard IEC 62304 Medical Device Software Software life cycle process. Knowledge or prior experience of using Git/GitLab. Experience of Testing of web applications. Familiarity with risk management processes in medical device development. Proficient in using software tools for data collection and analysis. Willingness to work on-site and adhere to lab protocols. Capable of managing multiple tasks and deadlines efficiently. Skills: jira,quality management systems (qms),sql,eclipse,medical device testing,selenium,medical devices,junit,ci/cd systems,geb,page objects,gitlab,java,intellij,problem solving,git,communication skills,abstract algebra,quality assurance,regulatory compliance,groovy,laboratory testing equipment,risk management processes,data analysis,iec 62304 medical device software,spock 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 Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)’s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights. We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions. As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques. Application of machine learning solutions. Best in class cloud technology & micro-services architecture. Use DevOps best practices that include model serving, data & code versioning. Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques. Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making. Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices. Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment. Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions. Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases. Develop internal tools and utilities to enhance the productivity of the team and streamline workflows. Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring. Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects. Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline. Previous Work Experience Minimum 3 years of relevant experience. Technical Skills Required Programming Languages: Proficiency in Python. Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics. Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques. Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation. LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering. Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets. Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis. Cloud Platforms: Familiarity with Azure and Google Cloud Platform. DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes. Other Skills Required APIs: Experience with FastAPI or Flask. Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies. And above all of this, an undying love for beer! We dream big to create future with more cheers. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge: Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe’s ecosystem, enabling creative professionals and everyday users to access, discover, and demonstrate a wide array of digital assets and creative content, including images, videos, documents, vector graphics and more. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Express, Lightroom, and Adobe Stock, SDC is evolving into a generative AI powerhouse. This team develops innovative solutions for intent understanding, personalized recommendations, and action orchestration to transform how users interact with content. Working with extensive datasets and pioneering technologies, you will help redefine the discovery experience and drive user success. If working at the intersection of machine learning, generative AI, and real-time systems excites you, we’d love to have you join us. Responsibilities: As a Machine Learning Engineer on the SDC team, you will develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across diverse content types. You will build and deploy scalable generative AI solutions to enable intelligent content discovery and contextual recommendations within Adobe products. Collaborating with multi-functional teams, you will integrate ML models into production systems, ensuring high performance, reliability, and user impact. Your role will involve researching, designing, and implementing pioneering techniques in natural language understanding, computer vision, and multimodal learning for content and asset discovery. You will also contribute to the end-to-end ML pipeline, including data preprocessing, model training, evaluation, deployment, and monitoring, while pushing the boundaries of computational efficiency to meet the needs of real-time, large-scale applications. Partnering with product teams, identify customer needs and translate them into innovative solutions that prioritize usability and performance. Additionally, you will mentor and provide technical guidance to junior engineers and multi-functional collaborators, driving excellence and innovation within the team. What You’ll Need to Succeed: Bachelor’s or equivalent experience, advanced degree such as a Ph.D. in Computer Science, Machine Learning, Data Science, or a related field. 6–9 years of industry experience building and deploying machine learning systems at scale. Proficiency in programming languages such as Python (for ML/AI) and Java (for production-grade systems). Strong expertise in machine learning frameworks and tools (e.g., TensorFlow, PyTorch). Solid understanding of mathematics and ML fundamentals: linear algebra, statistics, optimization, and numerical methods. Experience with deep learning techniques for computer vision (e.g., CNNs, transformers), natural language understanding (e.g., BERT, GPT), or multimodal AI. Consistent track record of delivering ML solutions to production environments, optimizing performance, and ensuring reliability. Knowledge of large-scale distributed systems and frameworks (e.g., Kubernetes, Spark, Hadoop). Strong problem-solving skills and the ability to innovate new solutions for complex challenges. Excellent communication and collaboration skills to work efficiently in a fast-paced, multi-functional environment. Nice-to-Haves: Experience with generative AI (e.g., Stable Diffusion, DALL·E, MidJourney) and its application in content creation or discovery. Knowledge of computational geometry, 3D modeling, or animation pipelines. Familiarity with real-time recommendation systems or search indexing. Publications in peer-reviewed journals or conferences in relevant fields. Why Join Us? Be part of a dynamic, innovative team shaping the future of AI-powered creative tools. Work on impactful, large-scale projects that touch millions of users daily. Enjoy the benefits and resources of a leading global company with the agility of a startup environment. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. 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 Chennai. 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

#BAL Required Abilities Written Comprehension — The ability to read and understand information and ideas presented in writing. Problem Sensitivity — The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem. Oral Comprehension — The ability to listen to and understand information and ideas presented through spoken words and sentences. Oral Expression — The ability to communicate information and ideas in speaking so others will understand. Required Work Experience : Business Planning Manager Degree : Bachelor of Business Studies - BBS | Bachelor of Arts - BA | Bachelor of Business Administration - BBA Required Knowledge Administration and Management — Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources. Mathematics — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications. Production and Processing — Knowledge of raw materials, production processes, quality control, costs, and other techniques for maximizing the effective manufacture and distribution of goods. English Language — Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. Required Skills : Business Planning, Business Operation, Strategic Planning, Planning Process, Implementation Planning Primary Responsibility Planned special events. Provided feedback to the Home Office. Identified market opportunities and solutions. Planned and supervised all merchandising, selling and sales promotional activities. Show more Show less

Compelling Opportunity for ML Engineer with Innovative Entity in Insurance Industry Employment | Immediate Location: Hyderabad, India Reporting Manager: Head of Analytics Work Pattern: Full Time, 5 days in the office Minimum Experience as a ML Engineer : 3 to 5 years Position Overview: The Innovative Entity in Insurance Industry is seeking an experienced Machine Learning Engineer with 3 to 5 years of hands-on experience in designing, developing, and deploying machine learning models and systems. The ideal candidate will work closely with data scientists, software engineers, and product teams to create solutions that drive business value. You will be responsible for building scalable and efficient machine learning pipelines, optimizing model performance, and integrating models into production environments. Key Responsibilities: · Model Development & Training: Develop and train machine learning models, including supervised, unsupervised, and deep learning algorithms, to solve business problems. · Data Preparation: Collaborate with data engineers to clean, preprocess, and transform raw data into usable formats for model training and evaluation. · Model Deployment & Monitoring: Deploy machine learning models into production environments, ensuring seamless integration with existing systems and monitoring model performance. · Feature Engineering: Create and test new features to improve model performance, and optimize feature selection to reduce model complexity. · Algorithm Optimization: Research and implement state-of-the-art algorithms to improve model accuracy, efficiency, and scalability. · Collaborative Development: Work closely with data scientists, engineers, and other stakeholders to understand business requirements, develop ML models, and integrate them into products and services. · Model Evaluation: Conduct model evaluation using statistical tests, cross-validation, and A/B testing to ensure reliability and generalizability. · Documentation & Reporting: Maintain thorough documentation of processes, models, and systems. Provide insights and recommendations based on model results to stakeholders. · Code Reviews & Best Practices: Participate in peer code reviews, and ensure adherence to coding best practices, including version control (Git), testing, and continuous integration. · Stay Updated on Industry Trends: Keep abreast of new techniques and advancements in the field of machine learning, and suggest improvements for internal processes and models. Required Skills & Qualifications · Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · Experience: 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Programming Languages: Proficiency in Python (preferred), R, or Java. Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Data Manipulation: Strong knowledge of SQL and experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Cloud Services: Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform. · Model Deployment: Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines. · Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to understand complex data problems and implement effective solutions. · Mathematics and Statistics: A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Communication Skills: Strong verbal and written communication skills to collaborate effectively with cross-functional teams and stakeholders. Preferred Qualifications: · Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). · Exposure to natural language processing (NLP), computer vision, or recommendation systems. · Familiarity with version control systems (e.g., Git) and collaborative workflows. · Experience with model interpretability and fairness techniques. · Familiarity with big data tools (e.g., Hadoop, Spark, Kafka). Screening Criteria · Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Proficiency in Python · Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Strong knowledge of SQL · Experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform · Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines · A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Available to work from office in Hyderabad · Available to join within 30 days Considerations · Location – Hyderabad · Working from office · 5 day working Evaluation Process Round 1 – HR Round Round 2 & 3 – Technical Round Round 4 – Discussion with CEO Interested Profiles, Kindly Apply Note o Additional inputs to be gathered from the candidate to put together the application Show more Show less

Senior Software Engineer Bangalore, Karnataka, India Date posted Jun 11, 2025 Job number 1829677 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Online Advertising is one of the fastest growing businesses on the Internet today, with Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computationally intelligence and scalable algorithms. Eventually Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, data mining, machine learning, statistical modeling, optimization, linear algebra, and micro-economics, to solve challenging problems that arise in online advertising. We are looking for a self-motivated Senior Software Engineer to join our dynamic Microsoft Advertising Delivery Engine team within the Microsoft AI organization. Our team focuses on building highly scalable distributed systems, leveraging microservice architecture, optimizing system performance, building ML and AI inferencing services on CPU and GPU. As a member of our team, you will participate in all stages of our engineering lifecycle, from initial research and discovery to designing and delivering features end-to-end. You will have ample opportunities to demonstrate your technical abilities and contribute to the success of our cloud services. Today, we design, develop, and operate a global ads marketplace that has a double-digit annual growth rate. This is a self-motivated and results driven environment that will unleash your potential. We need candidates who have shipped products or worked on large scale online services and have 7 or more years of relevant software development experience. This is a rare opportunity to influence technology development in an important growth area at Microsoft. You will design, implement, analyze and tune complex algorithms operating on large datasets in collaboration with top scientists and engineers across Microsoft’s global R&D team. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with SQL and Database design. Experience with Frontend and Backend technologies. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Solid data structure and algorithm concepts. Solid design and problem-solving skills . Experience with FullStack. Experience with GPU programming. #MicrosoftAI Responsibilities Architect and build low latency and high throughput system. Collaborate, socialize, and drive cross-team technical initiatives. Participate in design and code reviews . Mentor junior engineers in the team. Ensure high code quality, live site reliability, and scalability in our services. Drive new investments and vision for the product that you will own. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.