6636 Retrieval Jobs - Page 34

✅ Must-Have Skills & Responsibilities 🔗 Cross-Functional Collaboration • Work closely with data scientists, data engineers, software engineers, data managers , and business stakeholders. 🛠 Product Building • Build scalable, reusable, and impactful data science products using statistical or machine learning algorithms . • Collaborate with engineers to bring models into production. 📊 Data Analysis for Business Insights • Perform deep-dive data analysis to extract actionable insights for business decisions. 🧠 Experience & Technical Expertise • 5+ years of hands-on experience in designing, prototyping, productionizing , and maintaining data science products. • Strong understanding of the mathematical foundations of statistics and ML. 💻 Programming Proficiency • Development experience in Python . • Proficiency in Advanced SQL . 🧪 Experimental Design • Solid knowledge of A/B testing, hypothesis testing , and related statistical methods. 🌟 Good-to-Have Skills 📚 Classical Machine Learning • Experience with regression, classification, clustering , etc. 🧠 Deep Learning (DL) • Should be able to fine-tune pre-trained DL models (not necessarily build from scratch). 🧮 Optimization Techniques • Knowledge of linear, non-linear optimization methods . 🧾 LLMs / RAGs (Retrieval-Augmented Generation) • Exposure to large language models and how to integrate them into data products.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Your Qualifications Bachelor's with > 6 years of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Good grasp of NLP and GenAI with project experience Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Lead role mentoring multiple Jr. Analysts on approach and results. Strong Experience in Python, PySpark Google Cloud platform ,Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala) Responsibilities Play a key role to solve complex problems, business and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead small teams and participate in data science project teams by serving as the technical lead for project Partner with senior team members to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on insights Partner and engage with associates in other regions for delivering best services to the customers around the globe Work with customer centric mindset to deliver high quality business driven analytic solution Mentor peers and analysts across the division in analytical best practices Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving

Hello, Hope you are doing well. We are Hiring for the role of Sr. AI/ML/ Data Scientist role. Please revert me back with your updated resume at astha.jaiswal@techsciresearch.com if you are interested. Below are the details: Job Location: Noida Job Role: S r. AI/ML/ Data Scientist Overview: We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. About the Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research discussions. Qualifications Required: Strong fundamentals in machine learning, deep learning, and natural language processing (NLP) . Proficiency in Python , with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closed- and open-source models) . Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex , etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs ), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch . Knowledge of prompt engineering , Retrieval-Augmented Generation (RAG) , and LLM evaluation strategies. Experience working with REST APIs , data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred: Familiarity with the chemical or energy industry , or prior experience in market research/analyst workflows . Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD) . Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone , or ChromaDB . Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst : ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. Website : https://www.chemanalyst.com/

Inviting applications for the role of Senior Principal Consultant, Data Scientist for one of our Client (MNC) In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Full cycle experience desirable in at least 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Collaborate with service line teams to design, implement and manage Gen-AI solution Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Works closely with service line teams to design, implement, and manage Generative AI solutions Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms Familiarity with Generative AI technologies, Design and Implement GenAI Solutions Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus GenAI Tools Certifications in AI/ML or GenAI Methodology Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 GenAI AI/ML Tools Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras, Torch, Theano Certifications in AI/ML or GenAI Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills

Roles & Responsibilities Design, develop, and maintain robust, scalable, and high-performance backend systems using Python Django. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize application performance and scalability by implementing caching strategies, load balancing, and distributed computing techniques. Ensure data integrity and security by implementing best practices for data storage, retrieval, and access control. Develop and maintain integrations with external APIs and services to support seamless interactions with third-party systems. Identify and address performance bottlenecks and other system issues to improve overall system efficiency. Write clean, maintainable, and testable code following industry-standard coding practices. Conduct code reviews and provide constructive feedback to peers to ensure code quality and adherence to best practices. Mentor junior team members and assist in their professional growth. Requirement: Bachelor's degree in Computer Science, Software Engineering, or a related field. 5+ years of professional experience in backend development, preferably in a similar industry Strong proficiency in Python and Django web framework. Experience with databases such as PostgreSQL and MongoDB, including data modeling, query optimization, and performance tuning. Familiarity with caching technologies like Redis and search engines like Elasticsearch. Hands-on experience with message brokers and task queues, such as Celery. Knowledge of RESTful APIs and experience in building and consuming them. Solid understanding of software development principles, design patterns, and best practices. Experience with version control systems, preferably Git. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Self-motivated and proactive, with a strong sense of ownership and accountability. Bonus skills Prior experience working in a startup or fast-paced environment. Experience with cloud platforms such as GCP or AWS. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Exposure to CI/CD pipelines and automated testing frameworks.

JOB TITLE: Senior Principal Software Engineer Job Summary : The Senior Principal Software Engineer is a seasoned professional responsible for designing and delivering scalable, high-quality software solutions. This role demands a hands-on expert who writes maintainable, clean, and well-tested code while advocating for industry best practices in software development. The Senior Principal Software Engineer plays a pivotal role in architecting enterprise-grade applications, guiding technical teams, and ensuring adherence to coding standards and modern development methodologies. As a key leader, the Senior Principal Software Engineer collaborates closely with stakeholders, including business analysts and technical teams, to develop highly configurable applications that align with business goals. This position also emphasizes mentorship, fostering technical excellence, and driving continuous improvement through innovation and the adoption of cutting-edge tools and technologies. This job description in no way states or implies that these are the only duties to be performed by the employee in this position. Employee will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments Key Responsibilities: · Work on Complex Manufacturing Domain o Work and lead the development of large and complex enterprise-level applications. o Develop a deep understanding of Manufacturing concepts and MES products to deliver high-quality, configurable product solutions. · Leadership and Team Management o Manage and lead software development managers, technical leads, software architects, and other technical staff. o Oversee all activities of the software development team and set clear goals to ensure timely and successful project delivery. o Provide mentoring, guidance, and direction to software development leads and team members. o Promote diversity and collaboration within the team to drive innovation and inclusivity. · Agile Practices and Continuous Improvement o Proficient in agile practices to support modern and efficient software development. o Drive continuous improvement by identifying opportunities to enhance development processes, tools, and team capabilities. o Explore and leverage new AI tools to optimize productivity and enhance team efficiency. · Architecture and Strategic Planning, Direction, Development & Execution o Create and maintain technical architecture to meet technical, market, and business goals. o Lead the strategic direction and execution of software architecture to ensure alignment with evolving business needs and support organizational transformation. o Perform roadmap planning for long-term product evolution, including supporting architecture, design, experimental prototyping, and technology transfer. o Ensure business requirements align with IT architecture and infrastructure capabilities. o Carry out Proofs of Concept (POCs) to explore innovative solutions, architect customized approaches to meet customer requirements, and evaluate emerging technologies. o Provide vision, anticipate potential challenges, and offer strategic solutions to the organization. · Collaboration and Stakeholder Management o Interact with prospects, customers, business partners, senior management, and other stakeholders throughout the software development lifecycle. o Maintain a strong customer focus by ensuring the delivery of high-quality software solutions that meet client needs and expectations. o Foster a culture of excellence and innovation by encouraging creative problem-solving, adopting emerging technologies, and setting high performance standards. · Training and Mentorship o Train and mentor staff in design patterns, best practices, and the software development lifecycle. o Share expertise in architecture, design, and implementation of product capabilities to improve team performance and knowledge. · Continuous Improvement and Problem-Solving o Stay current with technological advancements and company standards. o Perform hands-on involvement in application monitoring, diagnostics, and forensics for both product team and customer deployments. o Display creativity and latitude in problem-solving and introducing innovative solutions. o Demonstrate professionalism and teamwork by promoting collaboration, clear communication, and mutual respect within the team and across departments. · Hiring and Onboarding o Lead the hiring process, ensuring the acquisition of top talent aligned with team needs and organizational goals. o Oversee onboarding processes to integrate new hires effectively and foster a high-performance culture. · Financial & Resource Management o Own and manage the software development budget, ensuring resources are effectively allocated to achieve key business outcomes on time and within budget. o Maintain ownership of time, cost, and quality for all deliverables, ensuring high standards are met across all stages of the project lifecycle. · Policy and Standards Compliance o Ensure compliance with industry standards, regulatory requirements, and company policies. o Define and enforce policies, procedures, and best practices. · Metrics and Reporting o Define and monitor key quality metrics to track performance, identify trends, and drive improvements. o Prepare and present reports and dashboards to leadership and stakeholders as needed. Required Education/Experience: · Education o Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field is strongly preferred. Equivalent commercial or open-source programming experience may be considered. · Experience o 12+ years of experience leading and managing large software development teams. o Extensive experience in goal-driven resource management, technical recruitment, and project management. o Proven ability to balance business and technology expertise with a global mindset. o Substantial experience in developing multi-tier systems and delivering enterprise-level applications. o Strong proficiency in various SDLC methodologies and practices. o Experience in complex discrete manufacturing domains, Manufacturing Execution Systems (MES), or ERP/PLM is highly desirable. · Required Skills o Expertise in advanced JavaScript libraries, frameworks, and tools such as React, React-Router, Redux, Node, Jest, RsPack, RxJs, Webpack, Browserify, etc. o Experience working collaboratively with UI/UX designers and transforming wireframes into product. You should know CSS and be able to style pages in line with UI direction and styling guidelines. o Familiarity with cloud-native infrastructure, including container management systems and microservices architecture. Experience with cloud-native infrastructure and microservices architecture using AWS or Azure. o Experience with containerization technologies such as Docker and Kubernetes. o Strong architectural mindset, with the ability to translate high-level requirements into detailed design alternatives, weighing pros and cons effectively. o Ability to prototype and evaluate solutions, write detailed technical specifications, and provide leadership and reviews for development teams. o · Preferred Skills o Experience around technologies like Redis, Elastic search, Mongo. o Experience with implementing GenAI, RAG (Retrieval-Augmented Generation), or Agentic AI-related scenarios. o Experience with Backend development technologies such as Java. · Personal Attributes o Excellent written and verbal communication skills, with the ability to present complex technical topics to diverse stakeholders. o Strategic thinker with a proactive approach to problem-solving and a focus on continuous improvement. o Passion for fostering diversity, collaboration, and innovation within teams. o Demonstrated ability to thrive in fast-paced, dynamic environments while managing multiple priorities.

Company Overview Satvam Nutrifoods Limited is dedicated to delivering products with purity and inherent power, adhering to the highest standards of quality and hygiene in the food production industry. Specializing in spices and related products, we are committed to maintaining authenticity. Based in Ahmedabad, we are a dynamic organization with 201-500 employees striving for excellence in every offering. Job Overview We are seeking an Executive for our Management Information System (MIS) team at our Ahmedabad headquarters. This is a full-time position where you will play a crucial role in ensuring effective data management and reporting. The ideal candidate will manage data processes and facilitate insights through comprehensive reporting. Qualifications and Skills Proficiency in MS Excel, including VLOOKUP and Pivot Tables (Mandatory skill). Strong understanding of MIS reporting processes to create and maintain systematic reports. Experience with various reporting tools to streamline data analysis and reporting tasks. Skill in process improvement to enhance data accuracy and efficiency of reporting systems. Ability to create and analyze management reports to support decision-making processes. Excellent problem-solving skills to address any discrepancies within the data management processes. Attention to detail to ensure data integrity and precise reporting outcomes. Strong communication skills, both verbal and written, to effectively report findings to management. Roles and Responsibilities Create and manage comprehensive MIS reports to track company performance metrics. Develop and maintain data systems and processes for efficient data retrieval and reporting. Identify areas for improvement within current data processes to enhance operational efficiency. Collaborate with various departments to gather necessary data for accurate reporting. Utilize advanced Excel functions such as VLOOKUP and Pivot Tables to analyze data effectively. Ensure timely and accurate generation of reports for managerial review and assessment. Assist in maintaining the integrity and security of company data and information systems. Support the continuous improvement of management reporting processes and practices.

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 34541 Job Description - AI Engineer We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Application Integration Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Job Information Job Opening ID JRF520 Date Opened 07/23/2025 Job Type Full time Industry IT Services City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 Job Description As a AI Engineer, your role typically involves programming. You would be responsible for the commitments in terms of time, effort and quality of work. You would likely be a part of a larger offshore team and are expected to work collaboratively with your peers onsite and offshore to deliver milestone/sprint-based deliverables. Typical activities that would be expected are Program and deliver as per the scope provided by the delivery leads/onsite managers. Actively participate in the discussions/scrum meetings to comprehend and understand your scope of work and deliver as per your estimates/commitments Proactively reach out to others when you need assistance and to showcase your work Work independently on your assigned work Requirements Should have experience in the below: Python (Advanced proficiency) PyTorch / TensorFlow (Model Development & Deployment) LangChain / LlamaIndex (LLM Orchestration) HuggingFace Transformers OpenAI, AWS Bedrock, Vertex AI, or Azure OpenAI APIs Vector Databases for RAG (Weaviate / Milvus / FAISS/mongodb) MongoDB / PostgreSQL (Structured Data Retrieval & Joins) Redis / DynamoDB (Fast Caching & Lookup) Kafka / RabbitMQ (Message Queues for Real-Time Inference) FastAPI / Flask (Backend APIs for ML Serving) Docker (Containerization for Model Inference) CI/CD Pipelines (GitHub Actions / GitLab CI / Jenkins) MLflow / Weights & Biases (Experiment Tracking & Model Management) S3 / GCS (Storage for Model Artifacts & Datasets) ElasticSearch / OpenSearch (Search over structured/unstructured text) Linting & Testing: Pytest, Black, Ruff, Flake8 Type Hinting, Documentation Standards, YAML/JSON Config Management LLM training - finetuning (PEFT), pre-training Should be familiar with at least two Gen AI platform like Amazon Bedrock, Copilot, Vertex, etc.. Should be familiar with at least two model like Claude, ChatGPT, Gemini, etc.. Should be familiar with RAG Model and Agentic AI model Architectural Requirements: Strong understanding of AI system design: data ingestion preprocessing model retrieval response Experience leading teams on LLM/NLP/ML projects end-to-end Excellent architectural decision-making & scalability mindset Familiarity with prompt engineering, evaluation metrics, and benchmarking Strong communication, documentation, and client-handling skills Benefits Insurance benefits for the self and the spouse, including maternity benefits. Ability to work on many products as the organization is focused on working with several ISVs. Monthly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization. Celebrations are a common place - physical or virtual. Participate in several games with your coworkers. Voice your opinions on topics other than your work - Chimera Talks. Hybrid working models - Remote + office

The Ops Support Assistant 4 is an entry-level position responsible for providing operations support services, including but not limited to; record/documentation maintenance, storage & retrieval of records, account maintenance, imaging and the opening of accounts in coordination with the Operations - Core Team. Additionally, the Ops Support Assistant 4 serves as the liaison between operations staff, relationship managers, project managers, custodians and clients. The overall objective of this role is to provide day-to-day operations support in alignment with Citi operations support infrastructure and processes. Responsibilities: Assist unit manager by providing guidance to all levels of staff regarding processes and operating procedures Coordinate team efforts to ensure the efficiency of quality, timeliness, and general operation to maintain workflow of the department Evaluate equipment and staff resource allocation and help identify potential issues that may impact department workflow Interact with internal departments and external clients to resolve issues and concerns Monitor “In process,” work to meet business and quality standards Assist in making decisions within established procedures that balance the needs of the employee, company, and customer Support and expansive array of products and services and serve as the team subject matter expert Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 1-3 years of relevant experience Experience with Learning Management Systems, Human Resource Systems and Learning and Development knowledge preferred Proficient computer skills Ability to adapt to new technology quickly and seamlessly Consistently demonstrates clear and concise written and verbal communication skills Education: High School diploma or equivalent This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Operations - Core ------------------------------------------------------ Job Family: Operations Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Summary We are seeking a highly experienced and passionate Lead Software Java Developer to join our dynamic engineering team. The ideal candidate will possess a strong background in back-end development, exceptional problem-solving skills, and a proven ability to design, develop, and maintain robust, scalable, and high-performance Java-based applications. This role requires a blend of technical prowess, architectural vision, and leadership capabilities to guide junior developers and contribute significantly to our product development lifecycle. Key Responsibilities Back-end Development : Lead the design, development, and implementation of complex back-end systems and APIs using Java and related frameworks. Data Structures & Algorithms : Apply advanced knowledge of data structures and algorithms to solve complex problems and optimize application performance. Application Design & Architecture : Drive the design of scalable, resilient, and maintainable application architectures, considering various design patterns and best practices. Database Design & Optimization : Design and optimize database schemas (SQL/MSSQL/PostgreSQL, etc.) to ensure efficient data storage and retrieval. Collaborate closely with database administrators. Code Quality & Best Practices : Champion code quality through rigorous code reviews, unit testing, integration testing, and adherence to coding standards and architectural principles. Requirement Analysis & Elicitation : Collaborate with product owners, business analysts, and stakeholders to understand, analyze, and elicit detailed functional and non-functional requirements. Mentoring & Guidance : Provide technical leadership, mentorship, and guidance to junior and mid-level developers, fostering their growth and ensuring adherence to technical standards. Troubleshooting & Debugging : Identify, diagnose, and resolve complex technical issues, performance bottlenecks, and bugs across various application layers. Documentation : Create and maintain comprehensive technical documentation, including design specifications, API documentation, and system architecture diagrams. Continuous Improvement : Proactively identify areas for improvement in existing systems, processes, and tools, and propose innovative solutions. Collaboration : Work closely with cross-functional teams including front-end developers, QA engineers, DevOps, and product management to deliver high-quality Skills & Experience : Minimum of 8 years of hands-on experience in Java back-end development. Proficiency in Java 8+ and strong understanding of core Java concepts, including multi-threading, concurrency, and JVM internals. Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security). Deep understanding and practical experience with Data Structures and Algorithms. Proven experience in designing and implementing RESTful APIs. Strong knowledge of relational databases (SQL/MSSQL/PostgreSQL/MySQL) including schema design, query optimization, and transaction management. Experience with ORM frameworks (e.g., Hibernate, JPA). Familiarity with version control systems (Git preferred). Experience with build tools (Maven/Gradle). Solid understanding of software development life cycle (SDLC) and Agile methodologies. Excellent problem-solving, analytical, and debugging skills. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts Skills (Nice to Have) : Experience with cloud platforms (AWS, Azure, GCP). Knowledge of message brokers (e.g., Kafka, RabbitMQ). Familiarity with containerization technologies (Docker, Kubernetes). Experience with microservices architecture. Understanding of front-end technologies (e.g., HTML, CSS, JavaScript, React/Angular) to facilitate better collaboration. Knowledge of performance testing and profiling tools. Experience with CI/CD pipelines (ref:hirist.tech)

About the Role: BigStep is seeking an experienced Product Manager with 7+ years of experience to lead the development and execution of cutting-edge AI/ML and data-driven products. This role demands strong product leadership, technical fluency, and a proven ability to collaborate with cross-functional teams to drive innovation and deliver high-impact solutions across industries. Key Responsibilities: Define and drive the product vision, roadmap, and execution strategy for AI/ML products. Collaborate with engineering, data science, UX, and business teams to translate complex problems into impactful AI solutions. Lead the end-to-end product lifecycle from discovery and experimentation to launch, iteration, and scale. Guide API development and system integrations to build scalable, intelligent product experiences. Manage and prioritize the product backlog in JIRA, facilitating sprint planning, reviews, and continuous improvements. Ensure high performance in data quality, model accuracy, and user adoption metrics. Partner with stakeholders to align product initiatives with strategic business outcomes. Lead multiple AI/ML project workstreams, tracking timelines, risks, and dependencies to ensure smooth delivery. Qualifications & Experience: 7–9 years of product management experience; 3+ years in AI/ML domains. Demonstrated success working with AI, Machine Learning, LLMs, or NLP teams in a product leadership capacity. Solid understanding of the AI/ML product development lifecycle, experimentation, data analytics, and model evaluation. Experience with vector databases, retrieval-augmented generation (RAG), prompt engineering, or agentic workflows is a strong plus. Exposure to Generative AI and its application in product development is preferred. Familiarity with API development, system architecture, and scalable software design principles. Proficiency in Agile methodologies, JIRA, and sprint planning processes. Strong analytical skills and ability to use data-driven insights to inform decision-making. Excellent written and verbal communication skills, capable of aligning and influencing stakeholders across technical and non-technical teams. Comfortable operating in a fast-paced, research-oriented environment with evolving priorities.

We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Large Language Models (LLMs) and a strong background in healthcare AI applications. You'll work on building intelligent, scalable solutions that enhance patient care, streamline systems, and shape the future of healthcare technology. Key Responsibilities LLM Application Development Design, develop, and deploy robust LLM-based healthcare applications. Ensure seamless integration with healthcare systems and clinical workflows. Model Expertise Work with open-source models such as LLaMA 2, Mistral, etc. Fine-tune and customize models for domain-specific healthcare use cases. Tool Proficiency Use LangChain, LlamaIndex, and similar frameworks to build intelligent solutions. Implement RAG (retrieval-augmented generation) and knowledge-graph strategies as needed. Problem Solving & Innovation Tackle real-world healthcare challenges using cutting-edge NLP and AI techniques. Deliver measurable outcomes in patient care and operational Collaboration : Partner with engineering, product, and clinical teams to ensure alignment with business goals. Communicate technical insights clearly to both technical and non-technical Learning : Stay up to date with the latest developments in LLMs and healthcare AI. Experiment with new models, methodologies, and tools. Required Skills & Qualifications 8+ years of experience in data science or AI development. Proven work with LLMs in healthcare-related projects. Hands-on experience with LLaMA 2, Mistral, LangChain, LlamaIndex, etc. Familiarity with EMR/EHR systems, healthcare datasets, and APIs. Proficient in Python and experienced with AI/LLM integration pipelines. Strong analytical, documentation, and communication skills. Preferred Qualifications Built or contributed to clinical decision support, patient engagement, or medical research tools. Experience with MIMIC-III, HL7 FHIR, or other clinical datasets. Knowledge of healthcare compliance (e.g., HIPAA, FDA). Cloud experience (AWS, GCP, Azure) and model deployment pipelines. Understanding of prompt engineering, RAG pipelines, and evaluation frameworks. Benefits Competitive salary + performance-based bonuses Remote-first culture with flexible working hours Health insurance and paid time off Access to AI/LLM learning resources and certifications Opportunities to work on impactful, real-world healthcare projects Collaborative and mission-driven team environment (ref:hirist.tech)

Job Description We are looking for a skilled Python Developer with a strong background in web application development using frameworks like Django, Flask, and FastAPI. The ideal candidate should also possess hands-on experience in building Generative AI (GenAI) applications leveraging modern AI/ML libraries and frameworks such as LangGraph, LangChain, and LLMs, and integrating them with vector databases like Pinecone or PGVector. Key Responsibilities Web Development : Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database And Backend Integration Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Required Skills Minimum of 3 years of experience application development using Python/django Proficient in developing and consuming RESTful API Experience with LangGraph, LangChain, and GenAI tools/workflows Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.) Good understanding of software design principles, code modularity, and version control (Git) (ref:hirist.tech)

Title : GenAI Engineer Location : Bengaluru, Chennai, Hyderabad, Pune, Vadodara, Gujarat Years of Exp : 7 to 12 Years Employment Type : Full-time Key Responsibilities Architect and develop Generative AI-based applications using Azure OpenAI, Azure ML Studio, Azure Cognitive Search, and Azure Document Intelligence. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise search, knowledge management, and domain-specific Q&A systems. Integrate Large Language Models (LLMs) into production applications with attention to performance, scalability, and governance. Design intelligent workflows using LangChain, LlamaIndex, and Semantic Kernel for orchestrating multi-step AI interactions and agent behaviors. Collaborate with data scientists, ML engineers, and DevOps to deploy, monitor, and manage cloud-native AI solutions. Incorporate OCR capabilities and document understanding pipelines using Azure Form Recognizer and Document Intelligence. Ensure AI models and pipelines comply with enterprise standards, data privacy, and responsible AI principles. Lead proof-of-concepts (PoCs), rapid prototypes, and solution demos to validate GenAI use cases across departments. Maintain a strong understanding of evolving LLM architectures, foundation models, and emerging GenAI techniques. Contribute to technical documentation, best practices, and reusable solution accelerators. Required Qualifications Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven Experience With Azure AI Services, Including Azure OpenAI Azure Machine Learning Studio Azure Cognitive Search Azure Form Recognizer / Document Intelligence Strong Python development skills, especially in the context of LLM pipelines and prompt engineering. Expertise with GenAI libraries and tools such as: LangChain LlamaIndex Semantic Kernel Familiarity with RAG architecture, vector databases (e.g., FAISS, Redis, Azure Cognitive Search), and embedding models. Experience with containerization (Docker) and cloud-native deployment pipelines using Azure DevOps, Kubernetes, or Terraform. Understanding of Responsible AI principles, including bias mitigation, explainability, and model monitoring. Excellent problem-solving and communication skills; ability to work in cross-functional agile teams. Preferred Qualifications Experience integrating agent-based frameworks for autonomous task execution and multi-agent collaboration. Knowledge of other GenAI ecosystems like Hugging Face Transformers, Anthropic Claude, or Mistral models. Background in enterprise content management, knowledge graphs, or intelligent document processing (IDP). Azure Certifications Such As Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Solutions Architect Expert What We Offer Opportunity to work on groundbreaking AI initiatives at enterprise scale. Collaborative, fast-paced, and innovation-driven team culture. Flexible work arrangements (remote/hybrid). Competitive compensation, equity options, and comprehensive benefits. (ref:hirist.tech)

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Lead Analytics Engineer will provide technical expertise in designing and building Modern Data warehouse in Azure Cloud to meet the data needs for various BU in Gartner. You will be part of the Ingestion Team to bring data from multiple sources into the Data warehouse. Collaborate with Dashboard, Analytic & Business Team to build end to end scalable data pipelines. What you will do: Responsible for reviewing and analysis of business requirements and design technical mapping document Build new ETL pipelines using Azure Data Factory and Synapse Design, build, and automate data pipelines and applications to support data scientists and business users with their reporting and analytics needs Collaborate on Data warehouse architecture and technical design discussions Perform and participate in code reviews, peer inspections and technical design and specifications, as well as document and review detailed designs. Provide status reports to the higher management. Help build defining best practices & processes. Maintain Service Levels and department goals for problem resolution. Design and build tabular data models in Azure Analysis Services for seamless integration with Power BI Write efficient SQL queries and DAX (Data Analysis Expressions) to support robust data models, reports, and dashboards Tune and optimize data models and queries for maximum performance and efficient data retrieval. What you will need: 6-8 years experience in Data warehouse design & development Experience in ETL using Azure Data Factory (ADF) Experience in writing complex TSQL procedures in Synapse / SQL Data warehouse. Experience in analyzing complex code and performance tune pipelines. Good knowledge of Azure cloud technology and exposure in Azure cloud components Good understanding of business process and analyzing underlying data Understanding of dimensional and relational modeling Nice to Have: Experience with version control systems (e.g., Git, Subversion) Power BI and AAS Experience for Tabular model design. Experience with Data Intelligence platforms like Databricks Who you are: Effective time management skills and ability to meet deadlines Excellent communications skills interacting with technical and business audience’s Excellent organization, multitasking, and prioritization skills Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends Delivering project work on-time within budget with high quality Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:101783 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Job Title: Full Stack Web Developer (Work From Office) Company: ipshopy.com Job Type: Full-time | Permanent Vacancies: 20 Salary: ₹12,000/- to ₹25,000/- (Salary is negotiable for the right candidates) Contact: hr.ipshopy@gmail.com | 7219525259 | 9342525252 Location: ipshopy, Dnyanpeeth Campus, T-18, Software Technology Park of India (STPI), Opposite Garware Stadium, Naregaon Road, Cidco, Chhatrapati Sambhajinagar (Aurangabad), Maharashtra – 431006 About ipshopy.com At ipshopy.com, we are building a cutting-edge eCommerce platform that offers a seamless shopping experience for our customers. We are looking for a motivated Full Stack Developer to join our development team. You will play a key role in developing, testing and deploying features that will power our website, improve user experience and streamline backend operations. Job Description We are seeking a Full Stack Developer with at least 1 year of professional experience in web development. You will work on both the front-end and back-end of the platform, leveraging your skills in HTML, CSS, JavaScript, React, PHP, MySQL, API integrations and experience with OpenCart. The ideal candidate will be someone eager to grow and enhance their skills in a collaborative team environment. Key Responsibilities: Frontend Development: Build and maintain user-friendly interfaces using HTML, CSS, JavaScript and Bootstrap, ensuring a responsive and engaging user experience across all devices. React Development: Utilize React to create dynamic and interactive web applications, enhancing the user interface and experience. Backend Development: Develop and manage server-side applications with PHP, ensuring proper functionality, security, and performance. OpenCart Management: Customize and maintain OpenCart for eCommerce solutions, including theme customization, extensions and plugin integration. Database Management: Work with MySQL to design, maintain and optimize database structures, ensuring fast and efficient data storage and retrieval. API Integration: Integrate third-party APIs and services to extend the functionality of the platform, including payment gateways, shipping services and more. Testing and Debugging: Write clean, maintainable code while performing tests to debug and resolve issues in both front-end and back-end systems. Collaboration: Work closely with other developers, designers, and product managers to build new features, enhance existing ones and improve the overall functionality of the website. Version Control: Utilize Git and GitHub to manage code versions, collaborate with the team, and ensure proper deployment of features. Required Skills & Qualifications: 1 year of professional experience as a Full Stack Developer. Proficiency in HTML, CSS, Bootstrap and JavaScript to create visually appealing and responsive web pages. Experience with React to build dynamic, scalable and high-performance front-end applications. Knowledge of PHP to develop server-side functionality. Experience with MySQL or similar relational databases to manage data. Familiarity with API integration for extending platform functionality. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving and troubleshooting skills. Experience with version control systems, specifically Git and platforms like GitHub. Excellent communication and teamwork skills, with a collaborative approach to development. Preferred Qualifications: Experience with modern development practices, such as Agile or Scrum. Familiarity with front-end frameworks and tools like SASS, Webpack and Babel. Understanding of SEO best practices and web performance optimization. Exposure to other programming languages or frameworks (e.g., Node.js, Openkart). ⚠️ Note: Only candidates based in Chhatrapati Sambhajinagar (Aurangabad) are eligible to apply. Remote or WFH is not available. How to Apply Interested candidates should send their updated resume along with a cover letter to hr.ipshopy@gmail.com. You can also contact us at 7219525259 or 9342525252, 9021505747 for more details. We are excited to have you join us in helping ipshopy.com grow and thrive in the digital world! ipshopy.com is an Equal Opportunity Employer. We are committed to creating an inclusive and diverse work environment for all employees.

Key Responsibilities: Data Input and Updating: Accurately inputting data from various sources (e.g., documents, forms, transcripts) into designated systems and databases. Data Verification and Correction: Checking for errors and inconsistencies in the data, correcting mistakes, and ensuring data integrity. Data Management: Organizing and maintaining both physical and digital files, including performing regular backups to prevent data loss. Report Generation: Preparing and generating reports, summaries, and other documents based on the data as required. Data Retrieval: Responding to requests for data retrieval and providing information to relevant teams or departments. Confidentiality and Security: Maintaining the confidentiality and security of sensitive information, adhering to company policies and procedures. General Administrative Tasks: Assisting with general office duties, such as filing, scanning, and printing documents. Required Skills and Qualifications: Typing Speed and Accuracy: Excellent typing skills with a high level of speed and accuracy are essential. Attention to Detail: A keen eye for detail is crucial for identifying and correcting errors. Computer Proficiency: Familiarity with data entry software, databases, and Microsoft Office Suite (especially Excel) is generally required. Organizational Skills: Ability to manage and prioritize tasks, organize files, and maintain records.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. 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 Google’s 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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Experience developing accessible technologies. 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 Google’s 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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. About the Role At Matillion, our engineering culture is shaped around small, cross-functional development teams empowered to own specific product themes and initiatives. Each team brings together engineers of all levels, working collaboratively to build, test, and ship impactful features that help our customers solve real-world data challenges. As a Staff Software Engineer , you will play a key role in driving the technical vision and hands-on development of our platform. You’ll bring deep engineering expertise and a passion for solving complex problems to help us build scalable, performant, and secure software — all while staying at the forefront of cutting-edge technologies, including Generative AI. What You’ll Be Doing Lead by example : Contribute hands-on to software development, championing high-quality code and robust architecture Drive technical direction : Shape the design and evolution of systems, ensuring performance, security, and scalability Collaborate cross-functionally : Work with engineers, product managers, and customer-facing teams to break down large initiatives into actionable plans Mentor and support : Provide guidance to team members through code reviews, knowledge sharing, and pairing Innovate with AI : Develop intelligent features powered by LLMs (Large Language Models), integrating modern GenAI capabilities into our platform Continuously improve : Proactively explore new technologies, contribute to internal best practices, and help evolve our engineering culture What We’re Looking For Agentic AI (Essential) Hands-on experience integrating with LLM APIs such as OpenAI, Anthropic, or Hugging Face Understanding of prompt engineering — crafting and tuning prompts to optimize LLM responses Experience with RAG (Retrieval Augmented Generation) to enrich LLM responses with contextual data Familiarity with key LLM concepts: System/User prompts, tokens, embeddings, context windows, temperature, top-p, stop sequences Hands on experience of MCP server and Agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, Hugging Face) GenAI Experience (Nice to Have) Experience with fine-tuning models and prompt compression techniques Exposure to GenAI architectures like prompt chaining , agentic workflows , or routing mechanisms Familiarity with Spring AI or similar libraries that abstract LLM interactions Experience designing and using evals to compare LLM performance and optimize prompts Programming Requisites Strong hands-on experience with Java/Python and React , grounded in solid object-oriented principles and software engineering best practices Proficiency in building Java Spring microservices , containerisation with Docker , and experience with relational databases like Postgres, MySQL, or SQL Server Proven track record across the full SDLC , including CI/CD and Agile methodologies Deep familiarity with cloud platforms , especially AWS Ability to adapt to new technologies and solve both product and platform-level challenges in a collaborative team environment Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. About The Position Senior Engineer – Agentic AI: Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting-edge solutions. As a Senior Engineer – Agentic AI, you will architect and deliver autonomous, goal-driven agents powered by large language models (LLMs) and multi-agent frameworks. Key Responsibilities Design and implement agentic AI systems leveraging LLMs for reasoning, multi-step planning, and tool execution. Evaluate and build upon multi-agent frameworks such as LangGraph, AutoGen, and CrewAI to coordinate distributed problem-solving agents. Develop context-handling, memory, and API-integration layers enabling agents to interact reliably with internal services and third-party tools. Create feedback-loop and evaluation pipelines (LangSmith, RAGAS, custom metrics) that measure factual grounding, safety, and latency. Own backend services that scale agent workloads, optimize GPU / accelerator utilization, and enforce cost governance. Embed observability, drift monitoring, and alignment guardrails throughout the agent lifecycle. Collaborate with research, product, and security teams to translate emerging agentic patterns into production-ready capabilities. Mentor engineers on prompt engineering, tool-use chains, and best practices for agent deployment in regulated environments. Required 8+ years of software engineering experience, including 3+ years building AI/ML or NLP systems. Expertise in Python and modern LLM APIs (OpenAI, Anthropic, etc.), plus agentic orchestration frameworks (LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex). Proven delivery of agentic systems or LLM-powered applications that invoke external APIs or tools. Deep knowledge of vector databases (Azure AI Search, Weaviate, Pinecone, FAISS, pgvector) and Retrieval-Augmented Generation (RAG) pipelines. Hands-on experience with LLMOps: CI/CD for fine-tuning, model versioning, performance monitoring, and drift detection. Strong background in cloud-native micro-services, security, and observability. Requisition ID: 610421 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Title: Senior AI Developer Years of Experience 8+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities · Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications · Architect AI model pipelines and implement scalable inference engines in cloud-native environments · Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes · Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs · Optimize algorithms for real-time performance, efficiency, and fairness · Write modular, maintainable code and perform rigorous unit testing and validation · Contribute to AI codebase management, CI/CD, and automated retraining infrastructure · Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills · Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers · LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral · Experience with RESTful APIs, Flask/FastAPI for AI service exposure · Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes · Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) · Knowledge of Responsible AI frameworks (bias detection, fairness, explain ability) Qualification · Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering · Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred · Demonstrated success in building scalable AI applications in production environments · Publications or contributions to open-source AI/ML projects are a plus

Job Summary Join our dynamic team as an Infra. Technology Specialist where you will leverage your expertise in security basics backup platforms and database basics to enhance our technological infrastructure. With a focus on the food services domain you will play a crucial role in ensuring seamless operations and migrations. This hybrid role offers the opportunity to work both remotely and on-site with no travel required. Responsibilities Lead the design and implementation of secure infrastructure solutions to support the companys food services operations. Oversee backup platform management to ensure data integrity and availability. Provide expertise in database basics to optimize data storage and retrieval processes. Manage storage platforms to enhance data accessibility and performance. Collaborate with network teams to ensure robust and reliable network basics. Utilize migration tools to facilitate smooth transitions of systems and data. Develop comprehensive migration planning strategies to minimize downtime and disruptions. Administer compute platforms to support scalable and efficient processing capabilities. Implement cloud basics to leverage cloud technologies for improved service delivery. Coordinate with cross-functional teams to align infrastructure projects with business goals. Monitor and evaluate infrastructure performance to identify areas for improvement. Ensure compliance with industry standards and best practices in all infrastructure activities. Contribute to the companys mission by enhancing the technological backbone that supports food services operations. Qualifications Possess strong knowledge of security basics to protect sensitive data and systems. Demonstrate proficiency in backup platforms to ensure reliable data recovery. Exhibit understanding of database basics for efficient data management. Have experience with storage platforms to optimize data storage solutions. Show familiarity with network basics to maintain connectivity and communication. Utilize migration tools effectively for seamless system transitions. Plan and execute migration strategies to ensure minimal impact on operations. Administer compute platforms to support diverse processing needs. Implement cloud basics to enhance service scalability and flexibility.