1479 Transformers Jobs - Page 16

The Spec Analytics Intmd Analyst role is a developing professional position where you will independently handle most problems and have the freedom to solve complex issues. You will utilize your in-depth specialty knowledge along with industry standards to integrate with the team and achieve sub-function/job family objectives. Your role will involve applying analytical thinking and data analysis tools to make judgments and recommendations based on factual information with attention to detail. You will be dealing with variable issues that could have broader business impacts and will have a direct influence on the core activities of the business through close contact. Your communication and diplomacy skills will be crucial to exchange potentially complex information effectively. Responsibilities: - Working with large and complex data sets to evaluate, recommend, and support business strategies - Identifying and compiling data sets using tools like SQL and Access to predict, improve, and measure business outcomes - Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis - Specializing in marketing, risk, digital, and AML fields - Assessing risk in business decisions with consideration for the firm's reputation and compliance with laws and regulations Skills and Experience: As a successful candidate, you should ideally have: - 5+ years of experience in data science, machine learning, or related fields - Advanced process management skills, detail-oriented, and organized - Curiosity and willingness to learn new skill sets, particularly in artificial intelligence - Strong programming skills in Python and proficiency in data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, data visualization tools, and GenAI solutions - Familiarity with agentic AI frameworks and MLOps Education: - Bachelors/University degree or equivalent experience This job description provides an overview of the work performed, and additional duties may be assigned as needed.,

About Us: At Calfus, we are recognized for our expertise in delivering cutting-edge AI agents and products that revolutionize businesses in unprecedented ways. We empower companies to fully leverage the potential of AI, enabling them to unlock opportunities that were previously unattainable before the AI era. Our software engineering teams are highly esteemed by customers, ranging from start-ups to established enterprises, due to our consistent delivery of solutions that fuel revenue growth. Our ERP solution teams have effectively implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, thereby reducing manual work and allowing teams to concentrate on high-impact tasks. This remarkable progress is made possible by talents like you! Our global teams thrive on collaboration, and we are actively seeking skilled professionals to enhance our in-house expertise and assist us in providing exceptional AI, software engineering, and solutions using enterprise applications. As one of the fastest-growing companies in our industry, we take pride in nurturing a culture of innovation where new ideas are always embraced without hesitation. We are driven and anticipate the same level of commitment from our team members. Our speed, agility, and dedication distinguish us, and we excel when surrounded by high-energy, motivated individuals. To sustain our rapid expansion and make an even greater impact, we invite you to consider applying for our open positions and joining us on our journey! About the Role: We are seeking a Senior Full-Stack Engineer with substantial experience in Python-based development and a genuine passion for constructing scalable, cloud-native applications. In this role, you will be involved in various aspects of the stack, from designing backend services in Python to creating responsive front-ends, while also exploring opportunities to integrate Generative AI (GenAI) technologies. Whether you possess prior experience with GenAI or are eager to delve into it, this role presents an exciting opportunity to contribute to cutting-edge products and solutions. What You'll Do: - Full-Stack Development: Design, construct, and sustain robust, scalable web applications utilizing Python (Flask, Django, FastAPI) for the backend and modern frontend frameworks like React, Angular, or Vue.js. - GenAI Exploration & Integration: Collaborate with AI teams to integrate or explore LLMs and generative AI capabilities (e.g., GPT-4, transformers, RAG pipelines) into products. Prior experience is valued; openness to learning is essential. - Architect Scalable Systems: Contribute to architectural decisions to ensure systems are secure, maintainable, and cloud-native. - Cloud Engineering: Deploy, monitor, and optimize applications using AWS, GCP, or Azure, with a focus on performance and reliability. - Collaboration & Mentorship: Engage closely with product managers, designers, and fellow engineers. Mentor junior developers and support peer growth. - Agile Practices: Participate in code reviews, uphold high-quality code standards, and contribute to continuous improvement. - Innovate & Learn: Stay abreast of emerging trends in full-stack development, cloud services, and AI technologies, introducing fresh ideas to the team. On your first day, we'll expect you to have: - Education: Bachelor's or Master's in Computer Science, Engineering, or a related field. - Experience: 5-8 years of hands-on experience in full-stack software development, with a strong backend expertise in Python. - Tech Stack Proficiency: - Backend: Python with Django, Flask, or FastAPI - Frontend: React, Angular, or Vue.js - Cloud: AWS, GCP, or Azure (deployment, monitoring, optimization) - AI Exposure: Experience or interest in LLMs, transformers, or GenAI tools (e.g., OpenAI APIs). Willingness to learn and apply AI concepts in production systems. - Strong Engineering Practices: Clean code, CI/CD, unit testing, version control (Git), and agile development. - Team Player: Comfortable collaborating in cross-functional teams and mentoring junior engineers. - Bonus: Previous experience in building or integrating GenAI models or collaborating with AI/ML teams. If you are a proficient full-stack Python developer who is enthusiastic about the future of Generative AI, even if you are still in the learning phase, this role is tailored for you. Benefits: At Calfus, we highly value our employees and provide a comprehensive benefits package. This includes medical, group, and parental insurance, along with gratuity and provident fund options. Additionally, we prioritize employee wellness and offer birthday leave as a valued benefit. Calfus is an Equal Opportunity Employer. We strongly believe that diversity fosters innovation. We are dedicated to establishing an inclusive workplace where everyone, regardless of background, identity, or experience, has the opportunity to thrive. We welcome all applicants!,

Are you excited about contributing to the development of cutting-edge AI systems that are set to revolutionize cloud infrastructure operations At Oracle Cloud Infrastructure (OCI), we are dedicated to reimagining operations for the enterprise cloud, and we are currently seeking ML Engineers to spearhead this transformation. OCI stands out as a hyperscale cloud platform where operations play a crucial role in ensuring customer success. To ensure the scalability and competitiveness of OCI, there is a pressing need to automate incident detection, diagnosis, and resolution by pushing the boundaries of AI and GenAI in cloud operations. Join our team to collaborate on building intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and provide customers with a world-class experience. If you are enthusiastic about tackling complex technical challenges and influencing the evolution of autonomous cloud technology, this opportunity is perfect for you. Responsibilities will include leading the development of AI agents tailored for cloud operations, designing and implementing tools and frameworks to support AI agent development, assessing agent performance across operational scenarios, innovating meta prompting techniques, integrating advanced LLM technologies into OCI systems, collaborating across teams, engaging with customers to validate solutions, and providing technical leadership and mentorship. The ideal candidate should have a minimum of 5 years of overall experience with at least 2 years in machine learning engineering, expertise in large language models, transformers, and GenAI technologies, experience in prompt engineering, the ability to optimize AI agent performance in real-world environments, proficiency in Python and ML frameworks like PyTorch or TensorFlow, knowledge of MLOps practices, problem-solving skills, strong communication abilities, and a degree in Computer Science, Machine Learning, or a related field. Preferred qualifications include experience in building AI assistants for enterprise applications, familiarity with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks, knowledge of LLM fine-tuning, RAG, or vector database integration, a background in cloud operations or infrastructure monitoring, exposure to Oracle Cloud Infrastructure or other major cloud platforms, and contributions to open-source ML projects or publications in ML, NLP, or AI agent systems. By joining our team, you will have the opportunity to work on designing AI Agents and the infrastructure supporting them, shape the future of AI-powered cloud operations at Oracle, engage with cutting-edge AI technologies to solve real-world challenges, collaborate with a talented team, and enjoy competitive compensation, benefits, and career growth opportunities.,

As a highly skilled Senior Machine Learning Engineer, you will leverage your expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. Your responsibilities will include developing and scaling deep learning models, fine-tuning LLMs (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. You will be responsible for designing, training, fine-tuning, and optimizing deep learning models (CNNs, RNNs, Transformers) for various applications such as NLP, computer vision, or multimodal tasks. Additionally, you will fine-tune and adapt LLMs for domain-specific tasks like text generation, summarization, and semantic similarity. Experimenting with RLHF (Reinforcement Learning from Human Feedback) and alignment techniques will also be part of your role. In the realm of Deployment & Scalability (MLOps/LLMOps), you will build and maintain end-to-end ML pipelines for training, evaluation, and deployment. Deploying LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT is crucial. You will optimize models for low-latency, high-throughput inference and implement CI/CD workflows for ML systems using tools like MLflow and Kubeflow. Monitoring & Optimization will involve setting up logging, monitoring, and alerting for model performance metrics such as drift, latency, and accuracy. Collaborating with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models will also be part of your responsibilities. The ideal candidate will possess 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks is essential. Experience with model deployment tools like Docker, Kubernetes, and FastAPI, along with knowledge of MLOps/LLMOps best practices and familiarity with cloud platforms (AWS, GCP, Azure) are required qualifications. Preferred qualifications include contributions to open-source LLM projects, showcasing your commitment to advancing the field of machine learning.,

Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc. ) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI Large Language Models (LLMs): GPT,

This role involves the development and application of engineering practice and knowledge in the following technologiesElectronic logic programs (FPGA, ASICs); Design layout and verification of integrated circuits (ICs),printed circuit boards(PCBs), and electronic systems; and developing and designing methods of using electrical power and electronic equipment; - Grade Specific Focus on Electrical, Electronics and Semiconductor. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

This role involves the development and application of engineering practice and knowledge in the following technologiesElectronic logic programs (FPGA, ASICs); Design layout and verification of integrated circuits (ICs),printed circuit boards(PCBs), and electronic systems; and developing and designing methods of using electrical power and electronic equipment; - Grade Specific Focus on Electrical, Electronics and Semiconductor. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

FAC- Facility Job Type: Full-time Company: Foxconn We are conducting the off campus drive for different function and different level position for our company in Bangalore location Eligibility criteria: Work Location: Bangalore Year of Experience: 01 to 04 years Language preferred: English & Kannada Position: Trainee Engineer/Trainee (IOT) (1- 5 years exp) Education : Engineering/Diploma - (Electrical/Mechanical) Skills: Knowledge in facility maintenance Experienced and proficient in PLC & configuration programming Work knowledge on Siemens, Schneider and Delta PLC Should have configuration skills in Schneider Siemens & Win CC PLC BMS operation & MODBUS configuration Trainee (Fitter) (1-4 Years exp) Education : Any Degree/Diploma - (Electrical/Mechanical/Civil) Skills: Hands on experience in pumps & rotating machineries Knowledge on MEP & HVAC Basic knowledge on safety Trainee (Carpenter) (1-10 Years exp) Education : Any Degree/Diploma - (Electrical/Mechanical/Civil) Skills: Knowledge on building maintenance (Civil & Mechanical) Knowledge on carpentry works (Door & Window works) Knowledge on plumbing works & mechanical works Basic knowledge on safety Trainee (Mechanical/Electrical) (1-5 Years exp) Education : BE /Diploma - (Electrical/Mechanical) Skills: Knowledge on Air Compressor & dryers Knowledge on HT & LT panels Knowledge on Transformers Knowledge on DG system Knowledge on basic trouble shooting in electrical system Knowledge on Chillers & HVAC system Interested can attend and please refer your friends & relatives. Registration: Interested Candidates, please type the registration link mentioned below and complete the registration. https://forms.gle/KFYwhGAY8XACZoon8 This is direct recruitment we are not engaging any third party or consultancy for this recruitment process. We are not collecting any charges/recruitment fee from the candidate Note: 1. Foxconn Experience Candidates are not eligible for this interview 2. ITI candidates are Not Eligible Job Poster: (Link) https://shorturl.at/8xOZg

Mahindra & Mahindra Limited. is looking for Manager - Sales to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Schneider Electric India Pvt. Ltd. is looking for Electrical Engineer to join our dynamic team and embark on a rewarding career journeyAn Electrical Engineer is responsible for designing, developing, testing and supervising the installation of electrical equipment, systems and facilities. Responsibilities may include:Designing electrical systems and ensuring they meet safety, legal and technical requirementsConducting research to develop new and improved electrical equipment, systems and productsTesting and evaluating prototypes to ensure they meet design specifications and customer requirementsDeveloping, implementing and maintaining electrical engineering policies, standards and proceduresCollaborating with interdisciplinary teams, such as mechanical engineers and construction managers, to ensure seamless integration of electrical systems with other building systemsAnalyzing data, interpreting results and recommending solutions to technical problemsPreparing technical reports, documentation and presentationsSupervising the installation of electrical systems and equipment, and conducting commissioning and acceptance testingStaying up-to-date with emerging trends and technologies in electrical engineeringRequirements may include:Strong analytical, problem-solving and decision-making skillsExcellent written and verbal communication skillsProficiency with design and analysis software, such as AutoCAD and MATLABKnowledge of electrical codes and standards, such as the National Electrical Code (NEC)Ability to work independently and as part of a teamStrong attention to detail and ability to multitaskWillingness to work on projects and tasks that require flexible scheduling, including evenings and weekends.

Handling Maintenance of LT/11 KV HT Panel, Metering ,Relay system , DG Set, Air Compressor, Air Conditioning (HVAC), Water system, Fire pump room, Fire system ETP, Ensuring facility equipment machines are maintained properly and working correctly Required Candidate profile Improvement through Low-cost automation, in-house repairing, modification etc. Handling and operation of Fire Detection Firefighting equipment. & spares, consumables inventory through SAP

We need young, enthusiastic engineers - electrical/ electronics, mechatronic and mechanical engineers for servicing heavy track maintenance machines being supplied to Indian Railways, and various Metros in the country like Delhi Metro Rail Corporation (DMRC), Bangalore Metro Rail Corporation Limited (BMRCL), etc. They must also follow a strict safety code during work. The current hiring is for the next phase of growth which is anticipated over the next 2-3 years. Roles and Responsibilities To work on a movable asset and perform operational & maintenance activities. CANDIDATES CAN DIRECTLY SEND THEIR RESUMES TO CAREERS@VANDHANA.COM Desired Candidate Profile 1. Candidates' age profile is between 18 to 35 years. 2. Candidates should have sound technical / product (repair and maintenance) knowledge and good fault analysis skills. 3. Candidates should be proficient in English and Hindi and have excellent communication skills both verbal and written. 4. Candidates with any additional regional language skills would be appreciated. 5. Candidate would be required to follow a strict safety code during working hours. 6. Computer proficiency for all candidates is a must. 7. Past experience in Maintenance is an added advantage. 8. Candidate's proficiency in AUTOCAD and other / or Design Software would be an additional bonus. 9. Candidate should be able to read engineering design drawings and work there. 10. Candidate should be flexible to work for extended hours and travel to project sites at planned intervals. 11. Candidates must have a minimum of 1 year experience as a field service engineer for Industrial / Heavy machines. (Freshers can also apply) Interested Candidates Send Resume To - careers@vandhana.com Website - www.vandhana.com Perks and Benefits As per industry standards and rules and regulations promulgated by the Government from time to time. CANDIDATES CAN DIRECTLY SEND THEIR RESUMES TO CAREERS@VANDHANA.COM

Degree in Electrical Engineering. Experience in execution within industrial projects (manufacturing, utilities, oil & gas, or pharma.) Email - sera@vucadd.com Required Candidate profile coordinate electrical design packages including SLDs, cable sizing, load calculations, earthing, lighting, & power distribution systems. installation, testing, commissioning of electrical systems

Routine maintenance of Electrical equipments like LT Panel, Transformer, DG Sets, Firefighting system and maintenance of entire building

The Lead Generation Executive will be responsible for generating new leads, conducting market research, effective communication, and driving sales to meet targets on a day-to-day basis. New Leads, Lead Generation, and Market Research skills Strong Communication and Sales skillsExperience - not more than 3 years Ability to effectively communicate with potential clients Experience in lead generation techniques and market research Previous experience in a lead generation or tele- sales role is a plus Education B.A, B.C.A, B.Com, B.Sc, B.E, Any Bachelor Degree

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. This individual will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. AI System Design & Architecture: Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Generative AI Model Development: Lead the design and development of generative AI models, including but not limited to transformers, and large language models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. AI Strategy & Innovation: Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to continually improve performance and capabilities. Contribute to the development of AI strategies that align with organizational goals and objectives. Experience: Proven experience in AI/ML model development, with a focus on generative models such as LLM,transformers Strong experience in MLOps Strong experience designing and deploying scalable AI architectures in cloud environments (AWS). Experience with AI frameworks and libraries such as Tensor Flow, PyTorch. Experience with data engineering and pre-processing for generative models. Proficiency in Python and other relevant programming languages. Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.

Job Overview We are seeking a highly motivated and creative Survey Designer to join our team at YoHo Designs Pvt Ltd. As a Survey Designer, you will be responsible for designing and conducting surveys to gather feedback and data from our clients. This role involves working closely with our clients and the design team to create surveys that capture valuable insights and guide our interior design projects. The ideal candidate for this role is detail-oriented, has excellent communication skills, and is passionate about delivering exceptional customer experiences. Qualifications and Skills Bachelor's degree in ( B E civil) Strong attention to detail and excellent organizational skills Excellent written and verbal communication skills Proficiency in survey design software Ability to analyze and interpret survey data Experience in conducting surveys is a plus Passion for interior design and a creative mindset Ability to work well in a team and collaborate effectively Roles and Responsibilities Design and create surveys to gather feedback and data from clients Collaborate with the design team to ensure surveys align with project objectives Administer surveys to clients and collect responses Analyze survey data to identify trends and insights Present survey findings to the design team and clients Make recommendations based on survey data to improve project outcomes Stay up-to-date with survey design trends and best practices

As an AI Engineer at Armada, you will be part of a cutting-edge edge computing startup dedicated to providing advanced technology infrastructure to remote areas with limited connectivity and cloud infrastructure. Your role will involve harnessing the power of AI to revolutionize operations and enhance lives in some of the most isolated regions globally. You will have the opportunity to work on a diverse array of AI and ML challenges on a global scale, from the mines of Australia to the oil fields of Northern Canada and the coffee plantations of Colombia. Ideal candidates will be passionate about AI and possess expertise in machine learning, deep learning, and real-time computer vision techniques. Your responsibilities will include translating business requirements into AI/ML model requirements, preparing and evaluating datasets, building models using state-of-the-art algorithms such as transformers, testing and benchmarking model quality, and deploying models in production environments. Additionally, you will collaborate with customers and internal teams to refine model quality and establish continuous learning pipelines. To qualify for this role, you should hold a BS or MS degree in computer science or a related technical field, have at least 5 years of software development experience with proficiency in Python, Java, or C/C++, and possess hands-on expertise in machine learning techniques and algorithms. Experience with deep learning frameworks such as PyTorch and TensorFlow, as well as familiarity with containers and modular software design, is essential. Preferred qualifications include experience in building software for autonomous systems, producing computationally efficient software for real-time applications, and a background in container platforms like Kubernetes. Strong analytical, time-management, and communication skills are also highly valued. If you are a self-driven individual with a passion for cutting-edge AI technologies and a desire to tackle challenging AI and ML problems, Armada offers a dynamic environment where you can contribute to the development of high-performance computing solutions for various industries. Join us in bridging the digital divide and empowering AI systems to interact with the real world seamlessly and securely. In return, Armada offers a competitive base salary and equity options for India-based candidates, providing an opportunity to share in the success and growth of the company. If you are a go-getter with a growth mindset, a detail-oriented problem-solver, and a collaborative team player who thrives in a fast-paced environment, we want to hear from you. Apply now and be part of our mission to revolutionize edge computing with AI.,

Are you excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run At Oracle Cloud Infrastructure (OCI), we're reimagining operations for the enterprise cloud, and we're looking for ML Engineers to drive this transformation. OCI is a hyperscale cloud platform where operations are core to customer success. For OCI to scale and remain competitive, we need to automate incident detection, diagnosis, and resolutionpushing the limits of AI and GenAI in cloud operations. Join us to build intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and deliver a world-class customer experience. If you're passionate about solving deep technical challenges and shaping the next generation of autonomous cloud, this is your moment. Lead AI Agent Development: Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs. Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring. Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across diverse operational scenarios. Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts. Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques. Partner with product, UX, and engineering teams to align technical solutions with business priorities and user experience. Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments. Mentor engineers, establish best practices in AI agent engineering, and contribute to the technical vision and roadmaps. Required Qualifications: - Overall 5+ with 2+ years of experience in machine learning engineering, with hands-on experience in building AI agents and production-grade ML systems. - Proven expertise in large language models (LLMs), transformers, and GenAI technologies. - Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications. - Demonstrated ability to evaluate and optimize AI agent performance in real-world, mission-critical environments. - Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow. - Deep understanding of MLOps practices, including model deployment, scalability, observability, and lifecycle management. - Excellent problem-solving skills with a bias for action and execution. - Ability to convince technical leaders and executives. - Strong written and verbal communication skills, including direct collaboration with enterprise customers and cross-org teams. - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Preferred Qualifications: - Experience building AI assistants or conversational agents for enterprise applications. - Experience working with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks. - Familiarity with LLM fine-tuning, RAG (Retrieval-Augmented Generation), or vector database integration. - Background in cloud operations, DevOps, or infrastructure monitoring domains. - Familiarity with Oracle Cloud Infrastructure or other major cloud platforms. - Contributions to open-source ML projects and/or Publications or patents in ML, NLP, or AI agent systems. Why Join Us - Be at the forefront of designing AI Agents and the infrastructure that powers them. - Shape the future of AI-powered cloud operations at Oracle. - Work with cutting-edge AI technologies and solve impactful real-world problems. - Collaborate with a world-class team of engineers, researchers, and product leaders. - Competitive compensation, benefits, and career growth opportunities.,

The Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing operational data from various stakeholders, applying machine learning techniques to identify data patterns and trends, developing and implementing machine learning models for predictive analytics, and designing Generative AI solutions to enhance customer experience. You will also experiment with agentic AI frameworks, develop tools to evaluate AI solutions" performance, and translate data into consumer insights to drive targeting and segmentation strategies. Effective communication of findings to business partners and senior leaders is essential for success in this role. The ideal candidate should possess 5+ years of relevant experience in data science or a related field, advanced process management skills, a curious mindset for learning new skill sets, and strong programming skills in Python. Proficiency in relevant data science libraries, experience with statistical modeling techniques, and familiarity with data visualization tools are required. Additionally, strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are essential for this position. A Bachelor's/University degree or equivalent experience in a quantitative field is necessary, with a Master's degree being preferred. Working at Citi offers more than just a job it provides the opportunity to join a global family of dedicated individuals, grow your career, contribute to your community, and make a meaningful impact. If you require a reasonable accommodation due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details, you can refer to Citis EEO Policy Statement and the Know Your Rights poster.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

As a Machine Learning Operation Engineer at Onclusive, your primary focus will be on deploying, scaling, and optimizing backend algorithms, data ingestion pipelines, machine learning services, and data platforms. You will be working with vast amounts of text and analytics data to solve challenging marketing problems using your technical knowledge and Big Data analytics skills. Your role is crucial to the success of Onclusive. Your responsibilities will include designing and building scalable machine learning services and data platforms, utilizing benchmarks and metrics to measure and improve services, managing systems processing tens of millions of jobs per day, researching and implementing cutting-edge algorithms, and collaborating with data scientists and machine learning engineers to implement ML, AI, and NLP techniques for article analysis and attribution. You will also be responsible for deploying, managing, and optimizing inference services on autoscaling fleets with GPUs and specialized inference hardware. To excel in this role, you should have a degree in Computer Science or a related field, along with hands-on experience. A minimum of 2 years of experience in Kubernetes and/or Terraform is required. Proficiency in Python with a solid understanding of Object-Oriented Programming (OOP) principles is essential. You should also have knowledge of containerization (preferably Docker), Infrastructure as Code (IAC) for AWS (preferably Terraform), Version Control Systems (particularly Git and GitHub), and CI/CD practices (preferably GitHub Actions). An understanding of release management, ML principles, and Data Engineering experience (e.g., airflow, dbt, meltano) is highly desired. Exposure to deep learning tech-stacks like Torch/Tensorflow and Transformers will be beneficial. At Onclusive, we offer a competitive salary and benefits along with opportunities for skill development and career growth. We support a hybrid working environment and prioritize employee wellbeing and work-life balance with initiatives such as flexible working arrangements and mental health support. Join our passionate team dedicated to delivering exceptional work and supporting each other's development.,

Assist with general maintenance tasks such as cleaning, repairing, and organizing workspaces. Support operations in different departments as needed, including but not limited to production, logistics, and administrative tasks. Operate basic machinery and equipment following safety protocols and guidelines. Handle physical tasks such as lifting, carrying, and moving materials or products. Participate in team meetings and collaborate with colleagues to accomplish goals efficiently. Follow instructions from supervisors and communicate effectively to ensure tasks are completed accurately and on time. Maintain inventory levels by monitoring stock and reporting shortages or discrepancies. Adhere to company policies and procedures regarding health, safety, and environmental regulations. Continuously seek opportunities for improvement and suggest innovative solutions to enhance productivity and efficiency. Perform other duties as assigned by management.

Sodexo Food Solutions India Pvt. Ltd. ces is looking for Executive - QHSE to join our dynamic team and embark on a rewarding career journey. Assist in the development, implementation, and maintenance of QHSE management systems in accordance with relevant standards and regulations. Support the monitoring and reporting of key performance indicators (KPIs) related to quality, health, safety, and environment. Conduct regular inspections and audits to identify hazards, unsafe conditions, and non - compliance with regulations, and recommend corrective actions. Assist in the investigation of incidents, accidents, and near misses, and participate in root cause analysis to prevent recurrence. Help in the development and delivery of QHSE training programs for employees to raise awareness and promote a safety culture. Support the coordination of emergency response procedures and participate in drills and exercises to test preparedness. Assist in the maintenance of documentation and records related to QHSE activities, including policies, procedures, permits, and licenses.

Assisting with the preparation of operating budgets, financial statements, and reports. Processing requisition and other business forms, checking account balances, and approving purchases. Advising other departments on best practices related to fiscal procedures. Managing account records, issuing invoices, and handling payments. Collaborating with internal departments to reconcile any accounting discrepancies. Analyzing financial data and assisting with audits, reviews, and tax preparations. Updating financial spreadsheets and reports with the latest available data. Reviewing existing financial policies and procedures to ensure regulatory compliance. Providing assistance with payroll administration. Keeping records and documenting financial processes.