1043 Llm Jobs - Page 7

As a Junior Data Scientist with 1 to 2.6 years of experience in AI and data science, you will be responsible for implementing machine learning models, conducting experiments, and collaborating with senior team members. You should have a foundational understanding of AI, ML, NLP, Opencv, Deep learning, Generative AI, and Computer Vision, along with a Bachelor's degree or Master's in computer science, mathematics, or a related field. Your main duties will include working on machine learning algorithms, assisting in data pipeline construction, and contributing to the enhancement of existing machine learning frameworks. Strong analytical skills, a basic understanding of probability and statistics, and familiarity with machine learning frameworks like TensorFlow, Keras, or PyTorch are essential for this role. Additionally, you should possess good time management, organizational skills, and communication abilities. This is a great opportunity to grow your skills in a supportive environment, collaborate with a talented team, and work on-site at various locations in India and globally. If you have a passion for continuous learning and innovation in the field of data science, this role is perfect for you. Join us in Indore - MP and be part of a dynamic team that values creativity, collaboration, and excellence. Apply now from multiple locations including Indore, Nagpur, Bhopal, Jabalpur, Nasik, Ujjain, Gwalior, Chhindwara, Kanpur, Patna, Bangalore, Chennai, Mumbai, Pune, Hyderabad, NCR, and Ahmedabad.,

Hiring Data Engineer with expertise in PySpark, Apache Spark, and Databricks, along with exp in analytics, data modeling, and Generative AI/Agentic AI solutions Exp in PySpark, Apache Spark, and Databricks for batch & streaming data pipelines. Required Candidate profile This role is ideal for someone who thrives at the intersection of data engineering, AI systems, and business insights Exposure to Generative AI, RAG, embedding models, and vector databases

Strong coding ability in Python & proficiency in SQL Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate) Practical exp with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows Building and optimizing RAG pipelines. Required Candidate profile We are looking for a highly capable AI Engineer to contribute to the design and delivery of intelligent, scalable AI solutions Familiarity with LangChain, LlamaIndex, or similar orchestration tools.

Job purpose We are seeking a highly skilled and dynamic AI/ML Engineer with a robust skill set in Generative AI, machine learning, and expertise in programming languages such as Python and Go. The ideal candidate will have a deep understanding of SAP BTP, including hands-on experience with SAP BTP AI Core, AI Launchpad services, and the GenAI Hub. The role requires a professional who is adept at prompt engineering and has experience in developing large language models (LLMs). Experience with SAP BTP AI Business services is add-on to drive innovation and implement AI solutions that align with business objectives Key Responsibilities Utilize SAP BTP AI Core and AI Launchpad services to deploy and manage AI solutions. Collaborate with cross-functional teams to integrate AI/ML solutions into SAP BTP environments. Design and implement AI/ML models, with a focus on generative AI techniques and large language models. Develop and maintain scalable and robust applications using Python and Go programming languages. Engage in prompt engineering to fine-tune LLMs for specific use cases and ensure optimal performance. Stay abreast of the latest advancements in AI/ML and SAP BTP to continuously improve our offerings. Provide technical expertise and support for SAP BTP AI Business services to enhance business processes. Document and present AI/ML project results to stakeholders and provide actionable insights. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 4-8 years of experience in AI/ML, with a focus on generative AI and LLM development. Solid understanding of SAP BTP, including experience with SAP BTP AI Core, AI Launchpad services, and GenAI Hub. Proficiency in Python and Go programming languages. Familiarity with SAP BTP AI Business services and their application in enterprise settings. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Self-motivated with a passion for AI innovation and a drive to deliver results. Role & responsibilities Preferred candidate profile Perks and benefits

Technology skills - Java JDK 11 and higher Java, SQL/Oracle, Spring-Boot with batch configuration Ability to understand and develop code for fixing minor bugs/issues Understands Cloud and DevOps configurations (basic understanding) Unix, shell scripts (basic understanding) Application Health check monitoring, Incident Management Problem Management using ServiceNow Good understanding of Jira/Confluence and GitHub Strong troubleshooting and problem-solving skills Strong written, verbal communication/collaboration skills and ability to manage user/vendor/customer and to work with cross functional teams Collaborate with multiple stakeholders for tech solutioning and bottlenecks removal Ability to assess the impact of production issues & escalate to relevant technology partners and get it resolved at the earliest during extremely time critical regulatory commitments Ability to operate with a limited level of direct supervision & in a time sensitive environment Preferred: Has an understanding of finance/accounting domain Preferred: Prior ECORE working experience Gen AI Tool - Copilot for productivity Mandatory Competencies Programming Language - Java - Core Java (java 8+) Database - Database Programming - SQL Programming Language - Java - Spring Framework Operating System - Operating System - Unix DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Architecture - Architectural Patterns - Microservices Beh - Communication and collaboration

We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering Responsibilities: 1. Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 2. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. 3. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. 4. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. 5. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. 6. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. 7. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut

Crew AI Engineer Remote Contractual-6 months Job Description : We are looking for people with strong python skills, knowledge of multi agent frameworks like Crew AI, knowledge of RAG concepts mandatory. Good conceptual knowledge of LLM concepts Langraph and Langchain Required Skills : 5-8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent decisions , enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains. Key Responsibilities AI Systems Architecture & Business Impact Design and develop scalable AI architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers and business consultants to integrate AI solutions into the applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance policies and compliance frameworks related to enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists, and IT professionals to align AI solutions with corporate objectives. Present complex AI concepts in a clear, accessible manner to both technical and non-technical stakeholders. Mandatory Qualifications & Skills Bachelor's or master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics

About the Role: Grade Level (for internal use): 11 The Team: As a member of the S&P Global Market Intelligence Technology team, you will work with a group of intelligent and ambitious engineers. Our software engineers are involved in the full product life cycle, from design through release. You will be expected to participate in design, develop, troubleshoot, and debug software programs for software enhancements and new products. Determine hardware compatibility and/or hardware design and work with a dedicated team of QA Analysts, Business Analysts, and Infrastructure Teams. The Impact: The person in this position will be responsible for creating technical designs, developing high-performing web application software, and ensuring quality through a robust testing process. Software Engineers at S&P Global work with the latest technologies and are rewarded for innovation and delivery. This position is part of the team which supports the search application for the company wide product platform which provides essential information to global finance industry and beyond. Whats in it for you: We are currently seeking a Lead Software Developer who enjoys working with new and emerging search technologies The person in this position will be working with highly skilled search engineers including Data Scientists and Machine Learning Engineers Responsibilities: Architect, design and develop solutions within a multi-functional Agile team to support key business needs for the platform search application Design, implement and test front-end solutions for the web platform application Design, implement and test web service/middleware applications leveraging the backend Solr clusters within the search application architecture Engineer components, and common services based on standard corporate development models, languages and tools, focusing on integration with Agentic AI Systems Collaborate with AI/ML teams to integrate LLM-Based reasoning, agent orchestration Apply software engineering best practices while also leveraging automation across all elements of solution delivery Collaborate and lead effectively with technical and non-technical stakeholders. Must be able to document and demonstrate technical solutions by developing documentation, diagrams, code comments, etc. What Were Looking For: Basic Qualifications: Bachelor's degree in computer science, Information Systems or Engineering. 9-12 years of significant experience developing web services and/or web software development Experience in object-oriented design, and design patterns Experience in application development using Java, Python, Spring Framework, SQL Server Experience with Agentic AI frameworks or interest in working with autonomous AI agents, AI Planning systems, LLM-powered tools Familiarity with integrating AI APIs into backend systems, Experience in web software development, including HTML5, JavaScript, Node.js and jQuery Minimum of 3years experience in working in Search technologies: Solr, Elastic Search, Lucene Experience of AWS, auto scaling, Docker EE, and Kubernetes Experience of gRPC Experience with Machine Learning Models for Application & Data related features is a plus. Proficient with Agile software development lifecycle methodologies including a good understanding of Test Driven Development (TDD) and/or Behavior Driven Development (BDD) and experience in using testing frameworks (JUnit, Cucumber, etc.) Preferred Qualifications: Experience in application development using C#, ASP.NET is a plus Preferred experience in working with HDFS, ZooKeeper and Message queues (Kafka) Preferred experience in large data transfer applications/middleware and comfortable in working with large data volumes

About this Opportunity Ericsson Research is the central research organization within Ericsson. Our mission is to provide Ericsson with system concepts, technology and methodology and to secure long-term competitive product positioning. The position is for a Senior AI Researcher/Researcher in AI Research lab located at Chennai, India. We are an international research team doing research on a range of disciplines, spanning Radio communications, Network architectures, AI, Cloud, Devices and Security. Working with AI research at Ericsson you will have opportunities to explore and pioneer in state-of-art AI methodologies and define the future of AI-Native Networks. Influencing research projects from conceptualization to implementation and delivery, youre always encouraged to propose and develop innovative, transformative ideas and methods that push the boundaries of AI-driven technologies. We offer flexible work options with open environment and a speak-up culture. What you will do Responsibilities: Advance AI research by exploring emerging techniques in Agentic AI and Reinforcement Learning, and extending the state-of-the-art to solve real-world problems in mobile communication systems. Invent and adapt AI techniques to contribute towards AI driven networks Define and develop research concepts and demonstrate the viability for adoption in products Contribute to research projects in teams with diverse talents Collaborate and coordinate with global research teams across varied competence and own responsibility for timely delivery of research modules Contribute to scientific publications and patents to enhance Ericsson’s intellectual property portfolio and reinforce its reputation as leader in AI for mobile networks. You will bring PhD degree from a top institute in India or abroad in Computer Science or related areas Experience in hands-on AI research with first author publications in leading venues. Extensive experience with state-of-the-art methods in agentic AI and large language models, particularly in optimizing planning, tool use, memory, and reflection capabilities. Familiarity with multi-agent system design is also valued. Solid understanding of Reinforcement Learning and multi-agent concepts Understanding of Radio fundamentals including L1,L2 and L3 layers and functions would be a significant positive. Demonstrated ability to work with globally distributed research teams Good communication skills and open to work in adjacent research areas Excellent coding skills Ability and willingness to learn domain specific things

Role & responsibilities Overall - At least 8+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services 3+ years of experience auditing existing AI or machine learning systems for security risks and compliance. Development and implementation of AI content filtering mechanisms. Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems. Identification and protection of sensitive data within AI solutions. Design and implementation of strategies to protect AI systems from cyber-attacks. Design and implementation of adversarial test plans. Strong analytical and problem-solving skills Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner. A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development. Ability to work both independently and as part of a team in a fast-paced, dynamic environment. Flexible to provide coverage in US morning hours on a need-basis, and as required Preferred candidate profile Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity. Industry certifications such as CISSP, SANS and/or other relevant certifications Experience designing, developing, and deploying secure AI systems. Training in secure coding standards and best practices for AI-related projects. Knowledge of ethical hacking techniques. Ability to develop security protocols and policies. Excellent communication, problem-solving, and analytical skills. Ability to work independently and as part of a team.

Key Responsibilities Design, build, and maintain scalable full-stack solutions, integrating sophisticated AI models and advanced data retrieval mechanisms into intuitive, scalable, and responsive applications. Applications integrating Retrieval-Augmented Generation (RAG)-based AI solutions. Develop responsive, intuitive user interfaces leveraging modern JavaScript frameworks (React, Angular Design, build, and maintain AI-driven full-stack applications leveraging Retrieval-Augmented Generation (RAG, Vue) to deliver seamless AI-driven user experiences. Build robust backend APIs and microservices that interface with AI models,) and related AI technologies vector databases, and retrieval engines. Integrate Large Language Models (LLMs), embeddings, vector databases, and search algorithms. Collaborate closely with AI/ML specialists, product owners, and UX designers to translate complex AI capabilities into user-friendly interfaces. Implement robust into applications. Collaborate closely with data scientists, machine learning engineers, and product teams to define APIs and backend services to requirements, optimize AI integration, and deliver innovative features support RAG model integrations and real-time data retrieval. Develop responsive front-end interfaces utilizing modern frameworks. Create and manage RESTful and GraphQL APIs to facilitate efficient, secure data exchange between frontend (React, Angular, Vue) that seamlessly interact with AI backend services. Ensure robust security measures, scalability, and performance components, backend services, and AI engines. Participate actively in code reviews, architecture decisions, and Agile ceremonies, ensuring best practices in software engineering and optimization of AI-integrated applications. Participate actively in code reviews, technical design discussions, and agile ceremonies. Continuously AI integration. Troubleshoot, debug, and enhance performance of both frontend and backend systems, focusing on AI latency, accuracy explore emerging AI trends and technologies, proactively recommending improvements, and scalability. to enhance product capabilities. Qualifications Bachelors degree in computer science, Engineering, or a related technical discipline. 3+ years of experience in full-stack software engineering, with demonstrated, Engineering, or related discipline. Minimum of 3+ years of experience in full-stack software development. Proficiency experience integrating AI/ML services. Strong proficiency in front-end technologies including HTML, CSS, JavaScript, and frameworks such as React, Angular, or Vue.js. in frontend technologies (HTML, CSS, JavaScript Backend development expertise with Node, React, Angular, Vue). Strong backend.js, Python, Java, or .NET, particularly experience building RESTful APIs and microservices.skills in Node.js, Python, Java, or .NET. Hands-on experience integrating AI/ML models, particularly NLP- Experience integrating AI and NLP models, including familiarity with Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, or similar frameworks. Proficiency with relational-based Large Language Models (e.g., GPT, BERT, LLaMA). Familiarity with RAG architectures, vector databases (e.g., Pinecone, We and NoSQL databases (PostgreSQL, MongoDB, etc.) and familiarity with vector databases (aviate, Milvus), and embedding techniques. Experience with RESTful APIs, GraphQL, microservices, and cloud-native architecture (AWS, Azure, GCP). e.g., Pinecone, Chroma, Weaviate) is a plus. Solid understanding- Solid understanding of databases (SQL/NoSQL) and data modeling best practices. Experience with version control systems (Git), CI/CD pipelines, and containerization (Docker of version control (Git) and CI/CD pipelines.

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities

What You Need To Succeed 46 years of proven, hands-on industry experience as a Machine Learning Engineer. Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus. A bachelor's degree in computer science, Mathematics, Physics, Statistics, Operations Research, or a related field is preferred. Solid experience with ML infrastructureincluding model deployment, evaluation, data processing, and debuggingwith a track record of building scalable ML solutions from business requirements. Proficient in Applied LLMs and NLP, with experience developing solutions using frameworks such as Lang Chain, Lang Smith, and backend tools like Fast API. Hands-on experience with LLMs like GPT or Claude is highly desirable. Strong background in building, deploying, and integrating AI agents using LLMs is a big plus. Comfortable with software engineering best practices, including version control, unit/integration testing, and setting up CI/CD pipelines for reliable ML deployment. Committed to high code quality, with an emphasis on thorough code reviews and testing. Excellent communication skills, with the ability to collaborate across technical and non-technical teams and clearly present outcomes to business stakeholders.

Title: Principal Data Engineer Keywords: Java | AWS |SPARK |KAFKA | MySQL | ElasticSearch Office location : Bangalore, EGL - Domlur Experience: 10 to 16y Responsibilities: As a Principal Data Engineer, you will be responsible for: Leading the design and implementation of high-scale, cloud-native data pipelines for real-time and batch workloads. Collaborating with product managers, architects, and backend teams to translate business needs into secure and scalable data solutions. Integrating big data frameworks (like Spark, Kafka, Flink) with cloud-native services (AWS/GCP/Azure) to support security analytics use cases. Driving CI/CD best practices, infrastructure automation, and performance tuning across distributed environments. Evaluating and piloting the use of AI/LLM technologies in data pipelines (e.g., anomaly detection, metadata enrichment, automation). Evaluate and integrate LLM-based automation and AI-enhanced observability into engineering workflows. Ensure data security and privacy compliance. Mentoring engineers, ensuring high engineering standards, and promoting technical excellence across teams. What Were Looking For (Minimum Qualifications) 10-16 years of experience in big data architecture and engineering, including deep proficiency with the AWS cloud platform. Expertise in distributed systems and frameworks such as Apache Spark, Scala, Kafka, Flink, and Elasticsearch, with experience building production-grade data pipelines. Strong programming skills in Java for building scalable data applications. Hands-on experience with ETL tools and orchestration systems. Solid understanding of data modeling across both relational (PostgreSQL, MySQL) and NoSQL (HBase) databases and performance tuning. What Will Make You Stand Out! Experience integrating AI/ML or LLM frameworks (e.g., LangChain, LlamaIndex) into data workflows. Experience implementing CI/CD pipelines with Kubernetes, Docker, and Terraform. Knowledge of modern data warehousing (e.g., BigQuery, Snowflake) and data governance principles (GDPR, HIPAA). Strong ability to translate business goals into technical architecture and mentor teams through delivery. Familiarity with visualization tools (Tableau, Power BI) to communicate data insights, even if not a primary responsibility.

As a Generative AI & LLM expert, you will be responsible for supporting the AI and ML team in designing, developing, fine-tuning, and deploying large language models and generative AI applications. This role offers a unique opportunity to work with state-of-the-art AI technologies and enhance your skills in machine learning, natural language processing, and deep learning. Your primary responsibilities will include architecting robust systems to integrate LLMs and support retrieval workflows, providing guidance on the use of Vector DBs and model deployment on cloud platforms, optimizing the fine-tuning process for business-specific LLM use cases, and designing applications with on-premise/cloud-based LLM, RAG, Langchain. Key skills required for this role include model training & fine-tuning, data preparation & preprocessing, prompt engineering, model evaluation & optimization, collaborating with cross-functional teams, documentation & reporting, managing and training LLM models, and generating embeddings and managing semantic search via Vector DBs. To qualify for this position, you should have completed a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Additionally, you should have at least 7+ years of experience in building ML pipelines, feature engineering, or deploying models/LLMs on cloud platforms. Other skills considered include experience with machine learning pipelines, model optimization, feature engineering, proficiency in database indexing, familiarity with deploying ML models in cloud environments, leadership skills, and strategic thinking. If you are passionate about working with cutting-edge AI technologies and have a strong background in machine learning and deep learning, we encourage you to apply for this role in our Product Engineering category. You can submit your application by filling in your name, email, phone number, and attaching your resume. We look forward to potentially welcoming you to our team and collaborating on innovative AI projects.,

As an engineer of NVIDIA's Software Quality Assurance (QA) team, you will play a crucial role in orchestrating the Software Quality processes for CAD tools and flows that support all semiconductor products. You will be working on infrastructure and software used to test complex semiconductor devices, including developing in-house tools for Design for Test (DFT) using languages like C++, Python, and TCL. This role requires a diverse skill set and a willingness to tackle challenges head-on. Your responsibilities will include providing support for testing and validation processes, architecting automated and customizable Software Quality processes, crafting test plans and cases, automation of testing, maintaining regression testing frameworks, performing code reviews and testing, and ensuring the delivery of high-quality, bug-free software applications. You will collaborate closely with team members to provide DFT and DFP methodologies for cutting-edge chip designs and support the development of tools using C++, Python, and TCL. To be successful in this role, you should have a BS or MS in Electrical Engineering, Computer Science, or Computer Engineering with a minimum of 4 years of experience in a Software QA role. You should possess knowledge of various software testing techniques, code reviews, testing tools such as TestRail or Zephyr, CI/CD tools like Jenkins and GitLab, and have skills in Python, TCL, or C++. Experience with defect tracking tools like JIRA and lab software and hardware support is also essential. To stand out, additional knowledge or experience with DFT, BDD processes, Verilog, ASIC design principles, and logic cells will be advantageous. NVIDIA is known for being one of the most desirable employers in the technology industry, attracting forward-thinking and talented individuals. If you are a creative and autonomous professional looking to make an impact, we encourage you to apply and join our diverse team today.,

Join the Consumer & Community Banking division at Chase, a leading U.S. financial services firm as a skilled data professional in our Data & Analytics team. As an Analytical Solutions Manager within the Consumer and Community Banking (CCB) Finance Data & Insights Team, you will be a part of an agile product team responsible for the development, production, and transformation of financial data and reporting across the Consumer and Community Banking division. Your ability and passion to think beyond raw and disparate data will enable you to create data visualizations and intelligence solutions that will be utilized by the organization's top leaders to achieve key strategic imperatives. You will assist in identifying and assessing opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to implement automated solutions. You will be responsible for extracting, analyzing, and summarizing data for ad hoc stakeholder requests and play a significant role in transforming our data environment to a modernized cloud platform. Transform raw data into actionable insights, demonstrating a history of learning and implementing new technologies. Lead the Finance Data & Insights Team, an agile product team, taking responsibility for the development, production, and transformation of financial data and reporting across CCB. Improve the lives of our people and increase value to the firm by leveraging the power of data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future. Join an agile product team as an Analytical Solutions Manager on the CCB Finance Data & Insights Team, responsible for the development, production, and transformation of financial data and reporting across CCB. Lead conversations with business teams and create data visualizations and intelligence solutions utilized by the organization's top leaders to reach key strategic imperatives. Identify and assess opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to bring automated solutions to life. Extract, analyze, and summarize data for ad hoc stakeholder requests, playing a role in transforming the data environment to a modernized cloud platform. Minimum 8 years of experience in SQL is a MUST. Minimum 8 years of experience developing data visualization and presentations. Experience with data wrangling tools such as Alteryx. Experience with relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses. Knowledge of modern MPP databases and big-data (Hadoop) concepts. Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data. Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data. Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions. Data architecture experience is needed. Preferred qualifications, capabilities and skills include experience with LLM, Hive, Spark SQL, Impala, or other big-data query tool, Home Lending business understanding as a major advantage, and experience with AWS, Databricks, Snowflake, or other Cloud Data Warehouse, Thought Spot experience.,

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. As an ML Engineer at ClearTrail, you will be responsible for developing an end-to-end machine learning pipeline, encompassing model development, refinement, and implementation for various analytics problems. Your role will involve effectively communicating results to a diverse range of technical and non-technical audiences. Additionally, you will leverage your expertise in LLM to tackle problems using cutting-edge language models and off-the-shelf LLM services such as OpenAI models. Your responsibilities will also include staying updated with the latest advancements in AI, problem-solving, code debugging, and practical experience in working with large language and generative AI models, including transformers and GPT models. Qualifications for this role include a Bachelor's degree in computer science & engineering, along with 6-10 years of proven experience as a Machine Learning Engineer or similar role with LLM skill set. You should possess sound theoretical and practical knowledge of machine learning algorithms and hands-on experience with LLM applications. Proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries is essential, along with expertise in techniques such as Exploratory Data Analysis, Machine Learning, Neural Networks, Hyperparameter tuning, Model performance metrics, and Model Deployment. Practical knowledge of LLM and its finetuning is also a mandatory requirement. While not mandatory, it would be advantageous to have skills in Deep Learning, MLOps, and SQL. By joining ClearTrail, you will have the opportunity to contribute to the future of intelligence gathering and play a vital role in developing innovative solutions to address complex challenges in the realm of security and safety.,

As a Data Scientist at Amdocs, you will be part of a global team that is dedicated to accelerating service providers" migration to the cloud, enabling differentiation in the 5G era, and digitalizing and automating operations. You will play a hands-on role in developing algorithms and performing data mining to provide valuable insights from data. Located in Pune, your responsibilities will include handling GenAI use cases, developing Databricks jobs for data ingestion, and creating partnerships with project stakeholders to provide technical assistance on important decisions. Your technical skills should include experience in Deep learning engineering, particularly in MLOps, strong NLP/LLM experience, and proficiency in Pyspark/Databricks & Python programming. You will be responsible for building backend applications using Python and Deep learning frameworks, deploying models, and building APIs. Experience with GPU, vector databases like Milvus, Azure cognitive search, and transformers will be essential. Knowledge of Kubernetes, Docker, cloud experience with VMs and Azure storage, as well as sound data engineering experience, would be advantageous. In this role, you will ensure timely resolution of critical issues within the agreed SLA, creating a positive customer support experience and building strong relationships with customers. You will also demonstrate an understanding of key business drivers to ensure strategic directions are followed for organizational success. Amdocs is a dynamic, multi-cultural organization that fosters innovation and empowers employees to grow. You will work in a diverse, inclusive workplace alongside passionate and dedicated teammates. Amdocs offers a wide range of benefits including health, dental, vision, and life insurance, paid time off, sick time, and parental leave. As an equal opportunity employer, Amdocs welcomes applicants from all backgrounds and is committed to fostering a diverse and inclusive workforce.,

Senior Engineer (GenAI & Prompt Engineering) Company : Xebia | Job Type : Fulltime| Location : Hybrid Chennai, Bangalore, Hyderabad, Pune, Jaipur, Bhopal, Gurugram (India) Job Summary Xebia is hiring an experienced GenAI Engineer to lead initiatives embedding LLMs into internal DevOps and Engineering workflows. This is a hands-on opportunity for AI engineers with strong Python and prompt engineering skills. Key Responsibilities Design and optimize LLM prompts for contextual accuracy Build RAG architectures using FAISS, Pinecone, Weaviate , etc. Integrate LLMs into CI/CD pipelines, dashboards, internal tools Use LangChain, LlamaIndex, HuggingFace, Haystack frameworks Fine-tune LLMs (OpenAI, Claude, Cohere, Mistral) for enterprise use cases Ensure compliance, security, and performance of AI systems Collaborate across teams to identify automation opportunities Required Skills & Experience 6-10 years total experience with 2+ years in GenAI/LLM/NLP systems Strong in Python, vector DBs, embedding techniques Hands-on with LLM APIs , GenAI libraries, and NLP concepts Prior experience building contextual AI agents or CI/CD automation using LLMs Nice to Have Familiarity with multi-modal models , DevSecOps, Kubernetes Experience with developer-facing GenAI use cases (log triage, changelogs, copilots) Other Details Mode : Hybrid (3 days a week in-office) Locations : Chennai / Bangalore / Hyderabad / Pune / Jaipur / Bhopal / Gurugram Notice Period : Immediate to max 2 weeks Contract Role To Apply Send the following details to vijay.s@xebia.com : Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location Notice Period / Last Working Day Primary Skills LinkedIn Profile Keywords : GenAI, Prompt Engineering, RAG, LangChain, Python, FAISS, LLM, LangChain, Vector DB, HuggingFace, LlamaIndex, CI/CD, Automation, DevOps, AI, NLP

: * Design, develop, and fine-tune Large Language Models (LLMs) for various in-house applications. * Implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. * Develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. * Build and manage data pipelines for processing, transforming, and feeding structured/unstructured data into AI models. * Ensure scalability, performance, and security of AI-driven solutions in production environments. * Collaborate with cross-functional teams, including data engineers, software developers, and product managers. * Conduct experiments and evaluations to improve AI system accuracy and efficiency. * Stay updated with the latest advancements in AI/ML research, open-source models, and industry best practices. & : * Strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. * Hands-on experience with RAG architectures, including vector databases (e.g., Pinecone, ChromaDB, Weaviate, OpenSearch, FAISS). * Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks. * Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. * Experience in Python web frameworks such as FastAPI, Django, or Flask. * Experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. * Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes). * Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications. * Strong understanding of vector search, embedding models, and hybrid retrieval techniques. * Experience with optimizing inference and serving AI models in real-time production systems. -- : * Experience with multi-modal AI (text, image, audio). * Familiarity with privacy-preserving AI techniques and responsible AI frameworks. * Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation.

Excellent job opportunity in a automobile product company based ouit in chennai, Only one round of technical interview Please find beloe mentioned job description and share the profile Experience : 6- 10 years eelevant Notice : 0-20days max salary : can go up to 27 LA as fixed Work mode: Hydride ( weekly 4 days from office) Mode of interview: Virtuval ( Only one technical round) Job Description: Relevant expereicne in Data science should be 6 + years Should have experience in machin learning, Deeplearning, LLM and chatobot developement hands on experience python, SQL and GCP cloud Hands on experience In Biqquiry and Deployment eperience in cloud REST API, knowledge in testing , Unit, TDD and agile methodology

At ClearTrail, our work is not merely a job, but a calling to create solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With a legacy spanning over 21 years, law enforcement and federal agencies worldwide have placed their trust in ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based lawful interception and communication analytics solutions, aimed at addressing the most complex global challenges. We are currently seeking a ML Engineer with 2-4 years of experience, possessing expertise in machine learning (ML) and Large Language Models (LLM) skill set to join our team in Indore, Madhya Pradesh. Roles and Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varied audience with technical and non-technical backgrounds. - Utilize LLM expertise to tackle challenges using cutting-edge language models and off-the-shelf LLM services such as OpenAI models, focusing on techniques like Retrieval augmented generation to enhance the performance and capabilities of LLMs. - Stay abreast of the latest advancements in the field of Artificial Intelligence through continuous research and innovation. - Demonstrate strong problem-solving skills and proficiency in code debugging. - Hands-on experience in working with large language and generative AI models, both proprietary and open-source, including transformers and GPT models (preferred). Skills: - Mandatory hands-on experience with Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries. - Proficiency in Exploratory Data Analysis, Machine Learning, Neural Networks, hyperparameter tuning, model performance metrics, and model deployment. - Practical knowledge of Large Language Models (LLM) and fine-tuning techniques. Nice to have experience: - Deep Learning - MLOps - SQL Qualifications: - Bachelor's degree in Computer Science & Engineering. - Proven 2-4 years of experience as a Machine Learning Engineer or similar role, with a strong LLM skill set. - Solid theoretical and practical understanding of machine learning algorithms and hands-on experience with LLM applications.,