200 Information Retrieval Jobs - Page 3

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Your responsibilities will include working on projects that require expertise in areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. You will have the opportunity to collaborate with diverse teams and switch between projects as the business evolves. The Google Home team is dedicated to creating innovative hardware, software, and services for smart homes. Your role will involve researching, designing, and implementing new technologies to enhance the functionality of smart home devices. The team's mission is to build a home environment that is not only user-friendly but also environmentally conscious. Key Responsibilities: - Define and drive technical execution strategies in collaboration with serving infrastructure and intelligence teams. - Lead the design, architecture, and optimization of core functionalities within the voice serving stack, addressing complex challenges in query understanding, intent generation, response planning, and fulfillment for various modalities. - Develop and implement technical roadmaps, mentor team members, and ensure alignment with cross-functional teams including infrastructure, intelligence, platform, and experience teams. If you have a Bachelor's degree in Engineering or a related field with significant experience in software development, testing, and software design, along with a passion for innovation and problem-solving, we encourage you to apply. Join us in shaping the future of technology and making a positive impact on users" lives through your work at Google.,

You are an individual contributor at Adobe Advertising Cloud, which offers a Demand Side Platform (DSP) and a Spend Optimizer to assist customers in planning, buying, measuring, and optimizing their digital media across various platforms. The primary goal is to enable global advertisers to enhance the effectiveness of their paid media budgets by delivering connected and personalized experiences to consumers. Your role will be within the Spend Optimizer group, working alongside a team of dedicated data scientists and engineers. Together, you will utilize techniques such as reinforcement learning, time series analysis, and bayesian modeling, along with Gen AI frameworks, to optimize ad spends effectively. Your responsibilities will include identifying and developing innovative experiences for Ad Cloud customers, leveraging upcoming AI technologies to shape the product roadmap, leading a team of machine learning engineers, collaborating with cross-functional teams to define technical requirements, deploying scalable machine learning solutions, and driving innovation through research and experimentation. To succeed in this role, you must possess a deep understanding of machine learning frameworks such as PyTorch, Tensorflow, and Scikit-learn, along with strong programming skills in Python. Proficiency in core machine learning concepts, statistics, and AI is essential, including expertise in Bayesian Modeling, Time Series Analysis, Reinforcement Learning, Optimization, and Deep Learning. Additionally, experience in developing and maintaining ML models in a production environment and the ability to thrive in a collaborative and diverse workplace are crucial. The ideal candidate will have over 10 years of experience in applied Machine Learning settings, hold a PhD or Masters in Computer Science/Applied Math/Statistics, and exhibit domain expertise in Digital Ad Technologies. Strong problem-solving skills, adaptability, and the ability to influence technical and non-technical collaborators are key qualities for success in this role. Internal growth opportunities are encouraged at Adobe, with a focus on creativity, curiosity, and continuous learning. You are advised to update your Resume/CV and Workday profile, explore the Internal Mobility page on Inside Adobe, and prepare for interviews. If you apply for a role, the Talent Team will contact you within 2 weeks, and you should inform your manager if you progress to the interview stage. Adobe provides an exceptional work environment, fosters ongoing feedback through the Check-In approach, and offers meaningful benefits. If you are seeking to make a positive impact, Adobe is the place for you. For further assistance or accommodation due to a disability or special need during the application process, contact accommodations@adobe.com or call (408) 536-3015.,

As a software engineer at Google, you will have the opportunity to work on cutting-edge technologies that impact how billions of users connect, explore, and engage with information globally. The products you work on will be required to handle data at a massive scale, going beyond traditional web search. We are seeking individuals who can bring innovative ideas from diverse backgrounds such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. You will be involved in projects critical to Google's needs, with the flexibility to switch teams and projects as both you and the fast-paced business evolve. Versatility, leadership, and a passion for tackling new challenges across the full technology stack are essential qualities we look for in our engineers as we strive to advance technology continually. As a pivotal member of a dynamic team, your responsibilities will include designing, testing, deploying, and maintaining software solutions. Google values engineers with a wide range of technical skills who are eager to address some of the most significant technological challenges and make a meaningful impact on users worldwide. Our engineers work not only on search enhancements but also on scalability solutions, large-scale applications, and innovative platforms for developers across diverse Google products. Your role will involve researching, conceptualizing, and developing software applications to enhance and expand Google's product portfolio. You will contribute to various projects that leverage technologies like natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaboration on scalability issues related to data access and information retrieval will be a key part of your responsibilities, along with solving complex challenges presented to you. If you have a Bachelor's degree or equivalent practical experience and a background in Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP, along with programming skills in C, C++, Java, or Python, we encourage you to apply. A Bachelor's or advanced degree in Computer Science, Computer Engineering, or a related field is preferred. By joining Google, you will be part of an engineering-driven organization that fosters innovation and offers opportunities to work on groundbreaking technologies that shape the future of global connectivity and information access.,

A career at Conga is more than just a job - it's a complete package! At Conga, we have fostered a community where our colleagues can flourish. Here, you will have the chance to innovate, receive support for your growth through both individual and team development, and work in an environment where every voice is valued and heard. Conga specializes in simplifying complexity within an ever-evolving world. Our revenue lifecycle management solution is designed to streamline order configuration, execution, fulfillment, and contract renewal processes by utilizing a single critical insights data model that adapts to changing business requirements and aligns the efforts of all teams. Our mission at Conga is to empower customers to achieve transformational revenue growth by harmonizing teams, processes, and technology to maximize customer lifetime value. The Software Architect role at Conga is a pivotal position within the Platform and AI Services team. This team is dedicated to building and innovating foundational services, components, and frameworks essential for the SaaS Revenue Lifecycle Management platform powered by AI. As an AI Architect at Conga, you will play a key role in developing AI capabilities for the Conga Revenue Lifecycle Platform, catering to customer needs and expanding your own skill set. Your responsibilities will involve building and supporting high-scale production code in a multi-tenant SaaS environment. One of the key aspects of this role is to contribute to the architecture and development of core AI services for the Revenue Lifecycle Platform. As an AI Architect, you will be involved in designing end-to-end AI solutions, developing data pipelines, models, deployment strategies, and integrating with existing systems. Moreover, you will collaborate with data scientists and software engineers to implement robust, scalable, and efficient AI solutions. Your role will also encompass managing the technical architecture of the AI platform, ensuring scalability, performance, security, and cost efficiency. Additionally, you will actively participate in an agile team lifecycle, including design, development, testing, planning, backlog grooming, and support. To excel in this role, you should possess a Bachelor's degree in Computer Science or a related field, with 10+ years of expertise in areas such as Machine Learning, Pattern Recognition, Natural Language Processing, Information Retrieval, Large Scale Distributed Systems, and Cloud Computing. We are looking for a talented individual who can provide technical leadership, design reusable components and services, stay abreast of the latest advancements in AI, and possess strong communication and interpersonal skills. If you are self-driven, enjoy problem-solving, and are willing to work with a global team, then we encourage you to apply for this exciting opportunity at Conga. If you believe you are the right candidate for this role or have a genuine interest in working in an inclusive and diverse workplace, we invite you to submit your application. Your resume can be in any format, but we recommend using PDF or plain text for easier review by our recruiters. At Conga, we value diversity and inclusivity, so even if you do not meet every qualification listed, we encourage you to apply as you may still be the ideal candidate for this or other roles.,

As a software engineer at Google, you will be involved in developing cutting-edge technologies that impact billions of users worldwide. Your primary focus will be on building distributed high throughput and latency-sensitive systems, with a strong emphasis on software testing, launching, and product development. With your technical leadership skills, you will lead and grow software engineering teams, ensuring the successful delivery of software solutions. Ideal candidates for this role possess a Bachelor's degree in a relevant field, along with at least 8 years of experience in software development. A Master's degree or PhD is preferred, particularly in Engineering or Computer Science. Additionally, candidates should have a minimum of 3 years of experience in technical leadership roles, guiding project teams and setting the technical direction. Your responsibilities will include collaborating with various teams within Google and YouTube to define product strategies and roadmaps for YouTube Shopping infrastructure and serving systems. You will work closely with key stakeholders to build the next generation YouTube Shopping entity model and serving infrastructure. It is crucial to have a deep understanding of upstream and downstream systems to influence technical investments and ensure the success of YouTube Shopping. As part of the wider YouTube Shopping team, you will actively participate in engineering design reviews to provide guidance and direction for serving YouTube Shopping Entities. Your role will involve managing project priorities, deadlines, and deliverables, as well as designing, developing, testing, deploying, maintaining, and enhancing software solutions. Join us at YouTube, where we believe in empowering individuals to share their stories, connect with others, and explore their passions. Together, we strive to create a platform that fosters creativity, innovation, and inclusivity. If you are passionate about technology, innovation, and making a positive impact on a global scale, we invite you to be part of our dynamic and collaborative team.,

As a Machine Learning Engineer, you will be responsible for developing new features and models for our core product through applied research. Your main focus will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Working closely with the engineering, product, and customer teams, you will scientifically frame business problems and develop AI models to address them effectively. Your role will involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. You will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this position, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. You should possess extensive knowledge and practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. Prior experience in applying ML to solve complex business problems from scratch is essential. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is required. Additionally, you should have a good understanding of the latest research trends in the NLP community. Strong verbal and written communication skills, along with excellent presentation abilities, are also necessary for this role. If you are passionate about leveraging machine learning to drive innovation and have a keen interest in NLP research, this role offers an exciting opportunity to contribute to cutting-edge projects and make a meaningful impact.,

Job Description: Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models, Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in cloud(AWS, Azure or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyse the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP(Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Basic Qualifications: 1. Bachelors or Masters degree in computer science or a related discipline. 2. Good communication & Interpersonal skills to interact with customers and partner teams 3. Must be a quick learner & Self-starter who requires minimal supervision. 4. Excellent Problem solving, Critical thinking & Analytics skills. 5. Proficiency in english(Oral & Written) At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Description: Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Basic Qualifications: 1. Bachelors or Masters degree in computer science or a related discipline. 2. Good communication & Interpersonal skills to interact with customers and partner teams 3. Must be a quick learner & self-starter who requires minimal supervision. 4. Excellent problem-solving, critical thinking, & analytical skills. 5. Proficiency in English (oral & Written) At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Build production ready data acquisition and transformation pipelines from ideation to deployment Being a hands-on problem solver and developer helping to extend and manage the data platforms Architect and lead the development of end-to-end data ingestion and processing pipelines to support downstream ML workflows Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions Mentor junior and mid-level data engineers and provide technical guidance and best practices What Were Looking For 7-10 years of professional software work experience Expertise in Python and Apache Spark OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Proficient in optimizing data flows for performance, storage, and cost efficiency Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain DevOps with a keen interest in automation Apache Avro Apache Kafka Kubernetes Cloud expertise (AWS and GCP preferably) Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Ahmedabad,Noida,Uttarpradesh,Gurugram

You are a talented and passionate RAG (Retrieval-Augmented Generation) Engineer with strong Python development skills, joining our AI/ML team in Bengaluru, India. Your role involves working on cutting-edge NLP solutions that integrate information retrieval techniques with large language models (LLMs). The ideal candidate will have experience with vector databases, LLM frameworks, and Python-based backend development. In this position, your responsibilities will include designing and implementing RAG pipelines that combine retrieval mechanisms with language models, developing efficient and scalable Python code for LLM-based applications, integrating with vector databases like Pinecone, FAISS, Weaviate, and more. You will fine-tune and evaluate the performance of LLMs using various prompt engineering and retrieval strategies, collaborating with ML engineers, data scientists, and product teams to deliver high-quality AI-powered features. Additionally, you will optimize system performance and ensure the reliability of RAG-based applications. To excel in this role, you must possess a strong proficiency in Python and experience in building backend services/APIs, along with a solid understanding of NLP concepts, information retrieval, and LLMs. Hands-on experience with at least one vector database, familiarity with Hugging Face Transformers, LangChain, LLM APIs, and experience in prompt engineering, document chunking, and embedding techniques are essential. Good knowledge of working with REST APIs, JSON, and data pipelines is required. Preferred qualifications for this position include a Bachelors or Masters degree in Computer Science, Data Science, or a related field, experience with cloud platforms like AWS, GCP, or Azure, exposure to tools like Docker, FastAPI, or Flask, and an understanding of data security and privacy in AI applications.,

The ideal candidate for this position should hold a Bachelor's degree or equivalent practical experience, along with at least 5 years of experience in software development using one or more programming languages such as Python, C, C++, Java, or JavaScript. Additionally, the candidate must have a minimum of 3 years of experience in a technical leadership role, overseeing strategic projects, with at least 2 years of experience in people management or team leadership. Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field, along with 3 years of experience working in a complex, matrixed organization. As a Software Engineer (SWE) Manager at Google, you will play a crucial role in leading major projects and providing technical guidance to a team of engineers. Your responsibilities will involve not only optimizing your own code but also ensuring that your team members can optimize theirs. You will be responsible for managing project goals, contributing to product strategy, and nurturing the development of your team. The SWE teams at Google are involved in various areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, system design, networking, security, data compression, and user interface design. As a manager, you will have the opportunity to guide and support these exceptional software engineers in their work. Within the Corp Eng division, you will be part of a team that builds world-leading business solutions to create a more helpful Google experience for everyone. As Google's IT organization, Corp Eng provides end-to-end solutions for organizations within Google, delivering tools, platforms, and experiences to enable Googlers to develop more helpful products and services. Key responsibilities of the role include setting and communicating team priorities aligned with the organization's goals, establishing clear expectations with team members, developing technical vision and roadmap, leading systems designs, writing code to solve complex problems, reviewing code developed by team members, and providing feedback to ensure best practices are followed. In summary, as a Software Engineering Manager at Google, you will play a pivotal role in managing and guiding your team to achieve project goals, contribute to product strategy, and foster the professional development of team members in a fast-paced and innovative environment.,

As a Data Scientist at our organization, you will be applying your expertise in artificial intelligence by utilizing machine learning, data mining, and information retrieval to design, prototype, and construct advanced analytics engines and services for next-generation applications. Your role will involve collaborating with business partners to define technical problem statements and hypotheses, developing analytical models that align with business decisions, and integrating them into data products or tools with a cross-functional team. Your responsibilities will include: - Collaborating with business partners to devise innovative solutions using cutting-edge techniques and tools - Effectively communicating the analytics approach to address objectives - Advocating for data-driven decision-making and emphasizing the importance of problem-solving methodologies - Leading analytic approaches and integrating them into applications with data engineers, business leads, analysts, and developers - Creating scalable, dynamic, and interpretable models for analytic data products - Engineering features by leveraging internal and external data sources - Sharing your passion for Data Science within the enterprise community and contributing to the development of processes, frameworks, and standards - Collaborating, coaching, and learning with a team of experienced Data Scientists - Staying updated with the latest trends and ideas in the field through conferences and community engagements Desired Skills: - Bachelor's degree required, MS or PhD preferred - Bachelor's in Data Science, Computer Science, Engineering, Statistics, and 5+ years of experience OR Graduate degree in a quantitative discipline with demonstrated Data Science skills and 2+ years of work experience - Proficiency in Python for working with DataFrames - Proficiency in writing complex SQL queries - Experience with Machine Learning for clustering, classification, regression, anomaly detection, simulation, and optimization on large datasets - Ability to merge and transform disparate internal and external data sets to create new features - Experience with Big Data technologies such as Spark, Cloud AI platforms, and containerization - Experience in supporting deployment, monitoring, maintenance, and enhancement of models - Familiarity with data visualization tools like Tableau, Plotly, etc. Digital Experience/Individual Skills: - Excellent communication and collaboration skills to understand business needs and deliver solutions - Proven ability to prioritize tasks and manage time effectively to achieve outstanding results - Efficient learning capability to tackle new business domains and problems - Critical thinking and skepticism regarding the validity and biases of data - Intellectual curiosity and humility to leverage expertise and collaborate effectively - Strong organizational skills with attention to detail and accuracy - Ability to mentor, coach, and work closely with business partners, analysts, and team members,

You will be responsible for developing new features and models as part of the core product through applied research. Your main task will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Collaboration with engineering, product, and customers is crucial to scientifically frame business problems and develop underlying AI models. Your role will also involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. Additionally, you will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this role, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. Your expertise should include practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. You must have experience in applying machine learning to solve complex business problems from scratch. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is essential. Furthermore, you should stay updated on the latest research trends in the NLP community. Strong verbal and written communication skills, as well as effective presentation abilities, are also important for this position.,

Position: Senior Data Scientist / Data Analyst (Noida) (CE58SF RM 3385) Education Required: Bachelor s / Masters / PhD: Bachelor s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Must have skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have: Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Job Description: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Job Category: Embedded HW_SW Job Type: Full Time Job Location: Noida Experience: 5 - 8 Years Notice period: 0-15 days

Location -HyderabadExperiecne -4-7 Yrs.Skills Required Strong programming skills in Python, Java, SpringBoot, or Scala.Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM.Familiarity with information retrieval techniques (BM25, vector search, learning to rank).Knowledge of embedding models, user/item vectorization, or session based personalization.Experience with large scale distributed systems (e.g., Spark, Kafka, Kubernetes).Hands on experience with real time ML systems.Background in NLP, graph neural networks, or sequence modeling.Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR.

As a highly accomplished and motivated individual with a distinguished record of academic achievement and a demonstrated commitment to excellence in teaching, research, and institutional service, you are sought for a position in Computer Science. This opportunity is open to candidates specializing in various areas such as Artificial Intelligence and Machine Learning, Theoretical Computer Science, Computer Systems, Databases and Information Retrieval, Computer Graphics and Vision, Software Engineering, Cybersecurity, High-Performance Computing, Human-Computer Interaction, and Algorithms. Your responsibilities will include developing and delivering engaging and rigorous courses at the undergraduate and postgraduate levels. You should utilize innovative teaching methodologies, mentor and supervise student projects, contribute to curriculum development, conduct high-quality research, publish in leading conferences and journals, secure research grants, supervise doctoral students, and actively participate in departmental committees. Additionally, you are expected to contribute to the intellectual environment of the department, engage with the broader academic and research community, participate in institute-level committees, stay updated on research trends, foster collaborations, and undertake other academic and administrative responsibilities as assigned. Overall, your role will involve a combination of teaching, research, and service activities, all aimed at enhancing the academic and research environment of the department and contributing to the governance of the institution. Your commitment to continuous learning, professional development, and collaboration with colleagues will be essential in fulfilling the responsibilities of this position.,

We are looking for a highly skilled and motivated Frontend Lead to join our team at LSEG. Your role will be crucial in connecting our Forge Design System with our agile scrum teams. As the ideal candidate, you should have a strong background in frontend development, extensive knowledge of CI/CD pipelines, proficiency in Node.js, React, accessibility (a11y), Adobe Experience Manager (AEM), and Git. If you are passionate about creating user-friendly web applications, implementing best practices, and fostering collaboration within an innovative environment, we would like to hear from you. Your key responsibilities will include collaborating with the team to ensure consistency in design guidelines across frontend development, taking ownership of frontend development efforts, working closely with scrum teams to understand project requirements and provide technical mentorship, developing and maintaining CI/CD pipelines for streamlined deployment processes, providing mentorship and support to team members for their growth and skill development, ensuring the implementation of standard methodologies like code quality, performance optimization, and accessibility standards, leading version control and branching strategies using Git, resolving technical issues in frontend development, and staying updated with industry trends and new technologies. To be successful in this role, you should have a BS degree in Computer Science or a related field, or equivalent experience, along with at least 10 years of professional experience in software development, including a minimum of 3 years dedicated to application or web service development. You should also have over 5 years of experience in crafting and building web applications using technologies such as HTML5, CSS3, Javascript, and frameworks like ReactJS, Vue, and Angular. Demonstrated leadership capabilities, experience with geographically distributed engineering teams, hands-on experience in developing marketing solutions on AEM, expertise in delivering scalable software libraries, proficiency in SDK development for Java, NodeJS, and REACT JS, and the ability to define digital technology strategies are also essential. You should possess strong problem-solving skills, excellent communication abilities, knowledge of integrating accessibility components, familiarity with version control systems like Git, understanding of the full software development lifecycle, experience working in agile development teams, and proficiency in building applications for different platforms. Having extensive experience with AEM and accessibility, understanding of authentication schemes like OAuth, familiarity with design systems, knowledge of technologies like natural language processing and machine learning, experience with web services using PHP, Java, or Python, proficiency in designing APIs and RESTful web services, and understanding of agile software development methodologies will give you a competitive edge. This role is based on UK business hours with occasional weekend work required. LSEG is a global financial markets infrastructure and data provider focused on driving financial stability, empowering economies, and enabling sustainable growth. If you join us, you will be part of a diverse and collaborative culture that values individuality, encourages new ideas, and is committed to sustainability. Together, we aim to support sustainable economic growth and the transition to net zero while creating inclusive economic opportunities.,

As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,

About iBusiness Funding iBusiness Funding is a software and lender service provider specializing in small business lending. Our technology, team, and process enable us to support loans from $10,000 to $25 million for our lending partners. Our technology solutions have been proven to quickly scale our clients portfolios without the need for additional overhead. Our flagship product, LenderAI, features end-to-end lending functionality from sales all the way through servicing To date, we ve processed over $11 billion in small business loans and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family. Join us and be part of a team that s transforming the finance industry and empowering businesses to thrive! Position Description We are seeking an experienced expert Cognitive Knowledge Engineer to design, implement, and scale state-of-the-art AI systems that combine large language models (LLMs), advanced retrieval techniques, cognitive memory architectures, including knowledge representation, and data fusion. In this role, you will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents. You will collaborate with cross-functional teams to ensure our systems efficiently retrieve, contextualize, and generate accurate information for diverse business applications. Major Areas of Responsibility Architect, implement, and optimize retrieval-augmented generation (RAG) workflows by integrating local LLMs (e.g., Llama) with retrieval mechanisms (vector search, Elasticsearch, FAISS, Weaviate). Design, build, and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data from diverse sources. Design, build, and scale addressable services and tools specifications that can be leveraged by LLMs and Agents to orchestrate workflows. Orchestrate and scale training data operations, including data curation, versioning, and lineage tracking for large-scale LLM training and fine-tuning. Develop and maintain ontologies, knowledge graphs, and semantic data models to structure and integrate domain-specific knowledge for improved retrieval and reasoning. Implement and optimize knowledge retrieval strategies (dense/sparse retrieval, ranking algorithms) to maximize system accuracy and relevance. Aggregate disparate knowledge bases and heterogeneous data into a fused approach for access to relevant contextual information. Design cognitive memory systems for AI agents, enabling persistent knowledge retention and contextual awareness across interactions. Collaborate with AI researchers, data scientists, and engineers to align knowledge architecture with business objectives and ensure data quality. Evaluate and integrate new technologies and research advancements in LLMs, RAG, information retrieval, and knowledge representation. Maintain clear and comprehensive documentation of models, pipelines, and workflows. Required Knowledge, Skills, and Abilities Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience designing and scaling data pipelines and training data workflows for LLMs or similar AI systems. Strong background in information retrieval systems, vector search technologies, and RAG frameworks (e.g., FAISS, Pinecone, Elasticsearch, Milvus). Proficiency in programming (Python) and machine learning libraries (TensorFlow, PyTorch). Experience with ontologies, knowledge graphs, and semantic technologies (RDF, OWL, SPARQL). Familiarity with distributed data processing and orchestration tools (e.g., Spark, Airflow, Kubeflow). Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a cross-functional, fast-paced environment. Nice To Haves Experience with LLM fine-tuning, prompt engineering, and RAG optimization. Familiarity with data-centric AI principles and training data quality assessment. Experience with cloud platforms and scalable storage solutions. Background in cognitive memory architectures or AI agent design. Conclusion: This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities , or working conditions associated with the position. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.

As a software engineer at Google, you will have the opportunity to work on next-generation technologies that impact billions of users worldwide. Your role will involve developing innovative solutions that go beyond web search, requiring you to handle information at massive scales. We are seeking individuals with diverse expertise in areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and mobile technologies. Our engineers play a crucial role in building and evolving Google's infrastructure, enabling the seamless operation of our diverse product portfolio. From maintaining data centers to creating cutting-edge platforms, the Technical Infrastructure team is at the core of Google's success. As a software engineer, you will have the chance to work on critical projects that address Google's evolving needs, with the flexibility to transition between teams and projects. Key Qualifications: - Bachelor's degree or equivalent practical experience. - 2 years of experience in software development using C++. - Proficiency in data structures or algorithms in academic or industry settings. Preferred Qualifications: - Master's degree or PhD in Computer Science or related field. - 2 years of experience in building large-scale infrastructure, distributed systems, or networks. - Experience in developing accessible technologies. In this role, your responsibilities will include writing code for product or system development, participating in design reviews, and providing feedback on code quality. You will also contribute to documentation and educational content, ensuring alignment with product updates and user feedback. Additionally, you will be responsible for triaging and resolving product or system issues by analyzing their sources and impact on hardware, network, or service operations. Join us at Google Cloud and be part of a team that accelerates digital transformation for organizations worldwide, offering enterprise-grade solutions powered by Google's advanced technology. With customers in over 200 countries, Google Cloud is a trusted partner for growth and problem-solving.,

. Minimum Bachelor of Engineering (BE) required Develop and implement machine learning algorithms for various projects, with a focus on the financial and banking domain. Utilize expertise in bias and variance algorithms to enhance model accuracy and performance Develop and apply techniques for Explainability, Privacy, and fairness in AI models and Generative AI. Use case development including building AI applications, such as Deep learning, LLM/RAG/finetuning, NLP, computer vision and pattern recognition. Design and implement cloud solutions, build MLOps Pipeline on cloud (AWS, Azure, or GCP) and on-prem setup along with CI/CD Pipelines. Design and develop NLP-based applications and system using DL, neural networks and chatbots or AI agents. Work with data mining toolkits like NLP, Semantic Web, NLTK, and information retrieval libraries like Lucene, SOLR. Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, Testing and Automation and monitoring of Model s quality Deploy the Responsible AI technical framework to Cloud. Build and maintain databases such as NoSQL dbs, Vector Dbs, and object storages. Identify ways of embedding AI/ML services into enterprise architecture seamlessly. Keep abreast of the latest AI/ML threats, vulnerabilities, and countermeasures. Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency. Communicate with a team of data scientists, data engineers and architect, document the processes Stay up to date on emerging AI technologies, framework and methodologies.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages, and with data structures/algorithms. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in an organization involving cross-functional, or cross-business projects. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Core team builds the technical foundation behind Googles flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Googles products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities Build the next generation indexing system. Work on the core indexing platform that's empowering many critical Google products such as Google Search, Google Deepmind, YouTube, Shopping, and numerous associated products that leverage Google indexed data. Learn how indexing infrastructure works at a planet scale and make critical contributions to define its future. ,

We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Experience building machine learning models or developing algorithms for business application Bachelors or PhD or Masters degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. Excellent communication and collaboration skills to effectively work with cross-functional teams. Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks.

Job Description Are You Ready to Make It Happen at Mondel z International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs How you will contribute You will: Operationalize and automate activities for efficiency and timely production of data visuals Assist in providing accessibility, retrievability, security and protection of data in an ethical manner Search for ways to get new data sources and assess their accuracy Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation Validate information from multiple sources. Assess issues that might prevent the organization from making maximum use of its information assets What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data Ability to simplify complex problems and communicate to a broad audience In This Role As a Senior Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices. Technical Requirements: Programming: Python, PySpark, Go/Java Database: SQL, PL/SQL ETL & Integration: DBT, Databricks + DLT, AecorSoft, Talend, Informatica/Pentaho/Ab-Initio, Fivetran. Data Warehousing: SCD, Schema Types, Data Mart. Visualization: Databricks Notebook, PowerBI (Optional), Tableau (Optional), Looker. GCP Cloud Services: Big Query, GCS, Cloud Function, PubSub, Dataflow, DataProc, Dataplex. AWS Cloud Services: S3, Redshift, Lambda, Glue, CloudWatch, EMR, SNS, Kinesis. Azure Cloud Services: Azure Datalake Gen2, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics. Supporting Technologies: Graph Database/Neo4j, Erwin, Collibra, Ataccama DQ, Kafka, Airflow. Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges. Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. Analytical Thinking: The capacity to analyze data and draw meaningful insights. Attention to Detail: Meticulousness in data preparation and pipeline development. Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Job Type Regular Data Science Analytics & Data Science