109 Gpm Jobs - Page 5

Graduate/Postgraduate in Engineering with 6-8 years of experience in implementing supporting Aveva MES solution. It is essential for the candidate to: o Have hands on experience in Aveva MES tools. Have exposure of implementing an MES solution across 2-3 different clients. In depth understanding of Mfg operations as well as how MES integrates with ERP and underlying level 2 systems (e.g. SCADA etc.). To have experience in Software development using C#, SQL Server, JavaScript and Web Services/WCF. Database Programming (MS SQL) Desirable Skills: Strong AVEVA MES Experience mandatory Responsibilities Job Description: Perform role of MES Sr Developer while running and executing projects as well as while managing support operations. Work on Continuous Improvement initiatives towards making the solution better and more usable by business Additional Comments : Keywords - AVEVA MES, Wonder ware.

Required Skills: - Should have experience in Automotive Software Development - Should have experience in Embedded C development for microcontrollers - Experience in working on AUTOSAR Configuration, Implementation/Development and Testing - Expertise on Multi-core microcontroller architecture, device drivers, compiler, debugger - Should have experience on Autosar MCAL for peripherals like MCU, Port, GPT, DIO, Watchdog, PWM, CAN, Ethernet, LIN, SPI. - should have good hands-on experience in Autosar tools Davinci Configurator, EB tressos. - define Test plans and implement Test case or Test application for validating the MCAL drivers - Should understand Vehicle networking protocols like CAN ,LIN, Ethernet - Experience in any of the Vector Testing tools like CANOe, Canalyzer - Ability to understand technical issues and guide teams on possible focus areas. - Ability to read/understand schematics and also be familiar with use of oscilloscope and logic analyzer for trouble shooting.

Role & responsibilities 1. Financial Responsible to maintain and monitor the allocated budget of all the brands under their portfolio to ensure maximum profitability. Being accountable for the revenue of the entire basket of products. Hold responsibility for carrying out the entire campaign and other activities within the brand marketing budget. To Increase Market share for ensuring profit. Allocation of the Budget as per the promotional requirement. Indexing of the target as per the market requirement. State wise allocation of the target. 2. Operational To monitor activities and the growth of all the brands under his/her portfolio. Prepare Brand Wise Quarterly Visual Aid. Brief to Art department on the visual aid design. Evaluation and selection of draft concept out of 3-4 design options submitted by Art dept. Quarterly communication of Visual Aid to the field force through cycle meetings. Prepare business plan (quarterly) booklet for field which includes the explanation and detailing talk of the visual aid and inputs. Periodical circulars about brands achievement, market trends etc to keep the field sales team abreast of the current information and motivate them to promote the brands. Conduct Quarterly briefing sessions of 0.5 – 1day in each zone to ABM’s on brand communication/ inputs. Monthly planned visit to field for review meetings to further reinforce brand communication. Promotional Material; i.e. LBL, Inputs etc on a timely basis for effective marketing. Preparation of promotional budget brand wise and promotional mode wise. Plan for quarterly inputs. Allocate inputs geography wise. Coordinate with vendor and logistics department to ensure timely dispatch to the field as per allocation. Continuous monitoring of the planned activities and reorganization of promoted initiatives to save on cost. Monthly/Quarterly Brand Analysis on various parameters. To assess internal and external performance of the assigned brands. To monitor competitor activities like pricing, review, packaging, etc on regular basis. To suggest various actions to increase the market share and profitability. To suggest changes in the plans to overcome challenges due to external environment. To monitor and ensure business management to meet the targets. New Product Launch Identify potential of New Product Launch or line extension launch in the assigned therapy by studying: a. CMARC trends b. Doctor feedback in joint work/ CME/ conferences c. Field manager’s feedback Analyze market potential for the identified new product through historical CMARC Conduct primary research with the help of market research for identifying the right patient segment, right launch volume and right price. Coordinate with packaging, FR&D for product features finalization. Prepare sales projection, sampling plan for at least 6 months – 1 year from launch. Prepare stock allocation and ensure proper distribution in all geographies. Finalize promotional activities, input plan, Visual Aid etc and work towards a launch as per the agreed timelines. Ensure regional launch meetings for the new product. Preferred candidate profile Good communication, therapy exposure and stability

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Additional Information: The candidate should have a minimum of 5 years of real time experience in Machine Learning. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

The Team Our team is on an exciting journey to build Kensho Spark Assist, S&P Globals internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. What You Stand to Gain: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and API functions using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement. Basic Qualifications: 8+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively.

Title: Product Management - Senior Product Manager-Travel About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About Paytm Travel Business Be a part of one of Paytm's fastest growing businesses - Travel. Travel was launched in 2016 and in less than 12 months we became India's 2nd largest online travel booking platform for Flights, Trains, Hotels and Bus tickets. Paytm's Travel business is entirely based out of Bangalore. We are like a 300-member startup within Paytm working in a fast paced environment. Our team comprises Product & Design, Engineering, Business and Customer Experience functions. Join us if you would like to work in a fast paced, agile, entrepreneurial environment where every day brings with it an opportunity for you to create a dent in the universe. Our Story Paytm Travel has revolutionized the travel industry - with a goal to empower millions of travelers who choose us as their preferred travel partner. We are no. 2 in the travel segment, in India, within a span of few years, which proves our capability and potential to become no. 1 in the near future. Being one of the largest travel platforms in the country, our aim is to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich customer experience by making every transaction transparent, honest and hassle free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with a trustworthy travel partner. What You'll Do: Own the roadmap for a key consumer-facing product within the travel ecosystem Collaborate cross-functionally with design, engineering, and business teams to deliver features that resonate with users Engage in technical discussions, understanding system design and architecture to make informed decisions Leverage AI technologies like LLMs (e.g. GPT, Claude), retrieval-augmented generation (RAG), recommendation systems, and conversational agents to enhance product intelligence and personalization Balance speed and quality, prioritizing rapid iterations over perfection to meet market demands What We're Looking For: 5-7 years of product management experience in consumer internet companies Mobile product experience (Android, iOS) is a must, with a keen eye for user experience. Should be able to have brainstorming discussions with tech on flutter vs native app. Hands-on experience with AI agents or agentic AI frameworks (e.g. AutoGPT, LangChain, OpenAgents) is a significant plus Educational foundation in Computer Science or a related technical field (preferred), MBA from a top tier b-school is a plus. Excellent data analysis and insights skills comfort with metrics, funnels, experiments, and decision-making driven by data Analytical mindset, with the ability to question business constructs and drive data-informed decisions Excellent communication skills, capable of articulating ideas and collaborating with diverse teams Why Join Us: Impact at Scale: Influence products used by millions across India Innovative Environment: Be part of a team that's pushing the boundaries of travel technology Growth Opportunities: Potential to contribute to our Flights product, allocating efforts based on business needs Collaborative Culture: Work alongside passionate professionals in a dynamic, fast-paced setting Location - Noida, Uttar Pradesh,Bangalore, Karnataka

What You'll Do: Own the roadmap for a key consumer-facing product within the travel ecosystem Collaborate cross-functionally with design, engineering, and business teams to deliver features that resonate with users Engage in technical discussions, understanding system design and architecture to make informed decisions Leverage AI technologies like LLMs (e.g. GPT, Claude), retrieval-augmented generation (RAG), recommendation systems, and conversational agents to enhance product intelligence and personalization Balance speed and quality, prioritizing rapid iterations over perfection to meet market demands What We're Looking For: 3 years of product management experience in consumer internet companies Mobile product experience (Android, iOS) is a must, with a keen eye for user experience. Should be able to have brainstorming discussions with tech on flutter vs native Hands-on experience with AI agents or agentic AI frameworks (e.g. AutoGPT, LangChain, OpenAgents) is a significant plus Educational foundation in Computer Science or a related technical field (preferred), MBA from a top tier b-school is a plus. Excellent data analysis and insights skills comfort with metrics, funnels, experiments, and decision-making driven by data Analytical mindset, with the ability to question business constructs and drive data-informed decisions Excellent communication skills, capable of articulating ideas and collaborating with diverse teams.

Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniquesThis position involves a wide variety of skills, innovation, and is a rare opportunity to be working on groundbreaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products' supply chain.Apple s Manufacturing & Operations team is looking for an extraordinary Machine Learning Engineer with expertise in Computer Vision (CV) and Large Language Models (LLMs) to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems. In this role, you will develop and deploy machine learning models to optimize processes, automate quality control, and improve operational efficiency. The role requires a candidate with practical experience fine-tuning LLMs and applying them in combination with CV techniques to tackle challenges in manufacturing environments. Description As a key member of our team, you ll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects. You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability. In this role, you ll be embedded inside a vibrant team of machine learning engineers and data scientists. You ll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metric. You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives. If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world.Join our team as a key contributor, leading the development of machine learning solutions for diverse tasks and projects. Collaborate with engineering and operations teams to deliver cutting-edge ML technologies, ensuring top-tier product quality and reliability in a fast-paced environment.- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms.- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.- Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow.- Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis.- Work with resources in cross-functional teams and the factory to integrate ML applications.- Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner. Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems. Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency. Master s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields. iOS CoreImage/CoreML and native App development experience is a big plus. Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use. Preferred Qualifications Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP). Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings. Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential. Proven ability to implement, improve, debug, and maintain machine learning models. Familiar with version control systems such as Git. Strong optimization and debugging skills. Self-motivated, responsible, excellent written and verbal interpersonal skills. Experience with handling and visualizing very large data sets and creating performance reports.