1047 Llm Jobs - Page 20

What are the ongoing responsibilities of the Lead Software Engineer? Development and Implementation: Design, code, test, and deploy AI-based tools and applications using contemporary technologies. Ensure robust, scalable, and maintainable code. Collaboration with Stakeholders: Work closely with sales, distribution, and operations teams to gather requirements, understand challenges, and provide tailored solutions. Act as a bridge between technical and non-technical teams. AI Integration: Integrate generative AI algorithms and models into software products to enhance functionality and user experience. Stay updated with the latest advancements in AI and machine learning. System Maintenance: Maintain and improve existing software systems by identifying and fixing bugs, optimizing performance, and implementing new features based on user feedback. Documentation: Create and maintain comprehensive documentation for all development activities, ensuring that future modifications and maintenance can be conducted efficiently. Quality Assurance: Conduct regular testing and code reviews to ensure high standards of quality and reliability in all software products. Training and Support: Provide training and technical support to end-users, ensuring they can effectively utilize the developed tools. Gather feedback to continuously improve the products. Innovation and Research: Conduct research and feasibility analysis for new technologies and approaches to keep the company's AI tools at the cutting edge. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Software Engineering, or a related field. A master’s degree is preferred. Courses or certifications in AI, machine learning, or data science are highly desirable. Work Experience: 8-10 years of experience in software development, with a focus on building AI-based applications. Proficiency in full stack development, or specialization in frontend technologies (React) and Python. Experience working with cross-functional teams and integrating AI solutions into business processes. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST

Job title: AI/ML Developer Generative AI & Azure Platform Department: Saisystems Technology (SST) Location Pune (Work from Office) : 2nd Floor, Office No 4, Tara Heights, Mumbai Pune Road, Wakdewadi, Pune, Maharashtra, 411003 (no remote/hybrid work) Job overview: We are seeking a skilled and innovative AI/ML Engineer with deep expertise in Generative AI and Natural Language Processing (NLP). The ideal candidate will have hands-on experience designing, developing, and deploying solutions using large language models (LLMs) such as GPT-3 through GPT-6. This role involves fine-tuning domain-specific models, building NLP applications, and leveraging Microsoft Azure services to integrate AI capabilities into enterprise systems. You will collaborate closely with cross-functional teams including development teams, and business stakeholders to deliver responsible, ethical, and high-impact AI-driven solutions. Proficiency in Python and Azure platforms is essential, along with a strong grasp of NLP techniques such as Named Entity Recognition (NER), sentiment analysis, and text summarization. Responsibilities & Duties: Design, develop, and deploy Generative AI solutions using GPT models (GPT-3 to GPT-6). Build and fine-tune LLMs for domain-specific applications. Implement NLP techniques such as tokenization, NER, sentiment analysis, and text summarization. Develop and manage machine learning models using Azure Machine Learning Studio and Python. Utilize Azure OpenAI services to integrate LLM capabilities into enterprise applications. Design data pipelines and manage databases using Azure SQL for training and serving AI models. Apply parsing techniques to extract structured information from unstructured data. Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions. Ensure responsible and ethical use of AI models aligned with company policies Required Qualifications: Experience: 4+ years of experience in Python and AIML Technical Skills: Strong experience with Python for ML and NLP development. Proficient in using and fine-tuning GPT (3 to 6) and other LLMs. Solid understanding of NLP concepts and libraries (spaCy, NLTK, Transformers, etc.). Experience with NER, parsing, and text classification. Hands-on experience with Microsoft Azure services including: Azure OpenAI Azure Machine Learning Azure SQL Database Preferred Qualifications: Prior experience deploying LLM-based applications in production environments. Familiarity with prompt engineering and advanced LLM customization techniques Knowledge of responsible AI practices, model interpretability, and bias mitigation. Experience working with RESTful APIs and integrating AI services into web/mobile applications. Strong communication skills and ability to translate complex AI concepts to non-technical stakeholders Certification in Microsoft Azure AI or related cloud services is a plus. Key Performance Indicators: Model Accuracy & Performance: Accuracy, precision, recall, and F1 scores of deployed LLMs and NLP models. Azure Resource Utilization: Efficient usage and cost optimization of Azure Machine Learning, Azure OpenAI, and Azure SQL resources. Project Delivery Timelines: Adherence to deadlines for AI solution delivery and milestone completion. Model Fine-tuning Impact: Measurable improvement in model performance post fine-tuning for domain- specific use cases. Competencies: Technical Expertise: Deep understanding of Generative AI, LLMs (GPT-3 to GPT-6), and NLP techniques including tokenization, NER, sentiment analysis, and summarization. Project Ownership: Ability to independently manage tasks, prioritize deliverables, and meet deadlines in a dynamic environment. Collaboration & Communication: Strong interpersonal skills to work effectively with data scientists, engineers, and business stakeholders.

About this role: Wells Fargo is seeking a Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Experience with Google ADK (preferred but not mandatory) AutoGen, and OpenAI APIs Strong verbal and written communication skills Job Expectations Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications.

Role & responsibilities - You know the ins and outs of AI and GenAI, and know the different steps of the data science process: from data extraction over model building to deployment and monitoring has no secrets for you. - You know the Azure cloud stack, especially Azure AI. - You have a good understanding of APIs, databases, Python and LLMs. - You communicate fluently in English. - You are not shy to challenge the governance processes and try to improve the current way of working. Preferably, you also have: - Knowledge about the AI Brains platform and MEAN stack applications. - Experience with digital signal processing (of voice, images, video). - Experience with following tools/technologies/frameworks: Jira, Agile, Scrum, Confluence. As a person, you: - Have a strong analytical mindset and excellent problem-solving skills. -Have excellent cross-functional communication and collaboration skills. - Take ownership and initiative and you feel responsible for your job. You can work autonomously, yet enjoy working in a team as well. - Are innovative and like to solve problems creatively. You think outside of the box and come up with solutions to roadblocks yourself, yet you are open to new ideas and experiences. You believe that theres always a better way. - Have a critical mindset. You are prepared to be challenged by our team as well as other stakeholders. In return, we expect you to do the same. - Are customer oriented. User satisfaction is your priority to guarantee a long-term commitment. - Are flexible and eager to learn. You enjoy learning new skills and can adapt to different tasks. You are able to work in a dynamic environment. Main responsibilities: Serve as the first point of contact for end-users with questions about AI Brains Introduce the platform and all its features Ensure teams are fully operational and can operate independently Provide initial support to get teams up and running Debug issues as needed Perform necessary actions for non-technical bot owners for more technical features Track and communicate often-requested features, new ideas, and development opportunities to the team Stay updated on the latest advancements in GenAI technology and contribute to the research and development of new AI-based solutions.

Technical Architect - GenAI Job Responsibilities Excellent communication skills and customer management skills 12+ years of deep technical expertise in distributed transactional scale & digital architectures. Experience in Solution Architecture Experience in Java or .NET and related frameworks Experience in GenAI, ChatGPT, LLM, RAG architectures Experience in CoPilot etc Experience in Cloud solutions. Either AWS or Azure or GCP Experience in Microservices and cloud native architectures Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendations Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture. Identifies implementation risks and potential impacts. Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or clientrequirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Delivery teams Review of architectural process deployment in engagements, escalation management, issue resolution Pre-sales team For solutioning and architectural design purpose Practice teams To understand the different solution portfolios Holmes engineering and roll out For automation purpose Talent Transformation Team, Competency Group Plan and support delivery of Technical Trainings, knowledge sharing HRBP For hiring and managing resources Finance Revenue / budgets Talent acquisition team Recruitment External Vendors/ Partners For strategic alignment and partnerships, training Industry forums Best practices, market intelligence, knowledge sharing Display Lists the competencies required to perform this role effectively: Functional Competencies/ Skill Domain/Industry Knowledge - Awareness and knowledge of broad economic, demographic, technological and global trends within own ecosystem -Expert Market Intelligence - Deep specialized understanding of the ecosystem practice, overall market & competition and nuances of delivery in that domain -Master Systems Thinking - Understanding of the Wipro system (interrelatedness, interdependencies and boundaries) and perform problem solving in a complex environment -Expert Leveraging Technology - In-depth knowledge of and mastery over ecosystem technology that commands expert authority respect -Master Asset reusability - ability to re-use the assets to ensure scalability and optimization- Expert Technical knowledge - architecture design principles, framework and documentation- Expert Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. Behavioral Competencies Strategic perspective Technology Acumen Innovation Managing Complexity Client centricity Execution excellence Change agility Passion for results Nurturing people Executive presence Deliver No. Performance Parameter Measure 1. Support sales team to create wins % of proposals with Quality Index 7, timely support of the proposals, identifying opportunities/ leads to sell services within/ outside account (lead generation), no. of proposals led 2. Delivery support CSAT, delivery as per cost, quality and timelines, Identify and develop resuable components, utilization %, Recommend tools for reuse, automation for improved productivity and reduced cycle times 3. Capability development % trainings and certifications completed, increase in ACE certifications, thought leadership content developed (white papers, Wipro PoVs) 4. Team Management Team attrition %, Employee satisfaction score

ROLE : Technical Lead & Mentor for AI Agent development • Ability to receive a project request, define a development plan, and identify the necessary tools and technologies. • Experience with LLMs (LLaMA, Mistral, GPT-like), RAG, fine-tuning, prompt engineering. • Agent architecture: task decomposition, memory, tool orchestration. • Languages: Python Preferred Skills Handling a team and deliver it with support and guidance. Agent Building Expertise : Hands-on experience in developing and deploying LLM agents with advanced features like tool integration, contextual memory systems, and feedback-driven learning us

Job Description: 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. 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 Responsibilities: 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. 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. 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. 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. 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. 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. 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.

Roles & responsibilities Serve as the AI & data strategist , discovering and onboarding new data sources and shaping end-to-end pipelines that span traditional analytics, machine learning (ML), deep learning (DL), natural-language processing (NLP), generative AI (Gen AI), and agentic AI . Partner with engineering to design, build, and harden production-grade data and AI products (e.g., RAG search, LLM-powered assistants, anomaly-detection services). Run analytical experiments classification, forecasting, LLM fine-tuning, prompt-engineering A/B tests to solve business problems across multiple domains. Collect, clean, and enrich large structured, semi-structured, and unstructured datasets (text, image, audio, sensor, graph). Design, train, and validate classical ML models, DL architectures (CNN, RNN, Transformers), and instruction-tuned LLMs ; measure drift and conduct error analysis to drive iterative improvement. Implement retrieval-augmented generation and agentic task-planning pipelines that combine vector search, function calling, and tool invocation. Document findings, publish reusable components, and mentor junior data scientists and ML engineers. Qualifications Experience Proven experience in delivering data-driven solutions, with demonstrable depth in at least two of: ML, DL, NLP, GenAI, agentic AI. Hands-on proficiency in Python (pandas, NumPy, scikit-learn), DL frameworks (TensorFlow or PyTorch), and LLM / GenAI toolkits (Hugging Face Transformers, LangChain/LangGraph, Google ADK). Proven track record in feature engineering, pattern recognition, predictive modeling, and LLM fine-tuning / evaluation . Experience optimizing GPU / TPU workloads and scaling distributed training or inference. Familiarity with vector databases (FAISS, Chroma, Pinecone) and distributed data systems (Spark, BigQuery, Snowflake). sibilities Preferred candidate profile

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Very Urgent: AI Specialist Company: AurumData Solutions Location: Hyderabad Experience:7+Years Work type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

Job Summary: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create scalable, efficient AI/ML systems, ensuring their seamless integration into production environments. Key Responsibilities: ? Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. ? Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. ? Fine-tune pre-trained models and develop custom models based on specific business needs. ? Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. ? Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. ? Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. ? Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. ? Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. ? Document processes, methodologies, and results for future reference and reproducibility. Key Skills & Qualifications: ? Experience: 6+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. ? AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. ? Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. ? Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. ? Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. ? Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. ? MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. ? Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. ? NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. ? Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. ? Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. ? Generative AI & Agentic AI Proficiency: Demonstrated expertise in Generative AI, Large Language Models (LLMs), and Agentic AI, with practical experience in developing Retrieval-Augmented Generation (RAG)-based chatbots and agentic tools. ? API Development & Frameworks: Extensive hands-on experience in designing and implementing APIs, utilizing frameworks such as Flask or FastAPI to build robust and efficient applications.

Dear All, Greetings from Teamware Solution!! We are seeking a candidate of AI/ML Engineer for our Captial Market client at Bangalore and Mumbai location. Exp range : 5 to 10years Work Location : Bangalore and Mumbai Notice Period : Currently serving notice period candidates only max of 30days Eligible Candidate: Seeking a candidate from Bangalore and Mumbai only Required Skills Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api. • Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security. • Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift. • Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions. • Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python. • Practitioner of unit testing, performance testing and BDD/acceptance testing. • Understanding of OAuth 2.0 protocol for secure authorization. • Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex. • Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps. • Ability to articulate technical concepts effectively to diverse audiences. • Strong desire and ability to influence development teams and help them adopt AI. • Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations • Understanding of deep learning , understanding of Machine Learning frameworks such as TensorFlow or PyTorch. • Understanding of Information Security, Secure coding practices. • Experience in building cloud and container native applications. • Knowledge of DevOps and Agile practices. • Excellent communication skills. Please go through the above details, and Interested candidates please share your cv to thilagam.v@twsol.com with below details Exp in AI engineer: CTC : ECTC : Notice period ( currently serving or not) : if yes , please mention your LWD : For the shortlisted candidates , will reach out immediately. Regards, Thilaga

Front End Lead React/Angular JS 7 - 10 YEARS PUNE/BANGALORE/Hyderabad Skills required to contribute: Mandatory frontend web development using Angular and ReactJS Develop and maintain web applications using Angular, ReactJS, TypeScript, ES5/ES6, HTML5, and CSS3/ SASS/SCSS, VueJS/NextJS/NuxtJS Implement responsive and accessible designs following the Atomic Design Model Build reusable library components to enhance development efficiency and maintain a consistent user experience Familiarity with cloud platforms like AWS, Azure, or GCP Collaborate with backend developers to integrate frontend components with APIs and services Optimize application performance, bundle size, and loading speed using tools like Webpack and Module Federation (MFA) Write unit tests using JEST/JASMINE to ensure code quality and maintainability Participate in code reviews and provide constructive feedback to team members Stay up-to-date with emerging frontend technologies and best practices Excellent problem-solving and debugging skills Strong communication and collaboration abilities Ability to work independently and deliver high-quality code within deadlines Good to Have: Experience with backend technologies such as NodeJS, .NET Core, or Java Spring Boot Knowledge of CI/CD pipelines and tools Experience with Docker containers and Kubernetes Contributions to open-source projects or personal side projects

Job Description: Strategic Technology Group is a core team within Infosys supported by Power Programmers who are tech polyglots Our team of Power Programmers works on complex projects and builds solutions to solve some of the world s most challenging business problems Introduction We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Why Join Us Work with an innovative team on cutting edge projects that are pushing the boundaries of artificial intelligence Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI Competitive compensation and benefits package Bangalore preferred Flexible work environment with remote work options available Key Responsibilities: Design develop and train transformer based models for multiple modality to support a variety of AI powered applications Experiment with various architectures training techniques and optimization methods to improve the model s understanding and generative capabilities Innovate robust and scalable architectures to accommodate the future requirements Troubleshoot and debug model issues ensuring the models remain robust and adaptable Technical Requirements: We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Additional Responsibilities: Master s degree or PhD in Computer Science Artificial Intelligence Machine Learning or related fields Ph D preferred Proven experience in training models both text and multi modal models Strong knowledge of transformer architectures and their underlying principles Experience with model pre training finetuning and distributed training One or more scientific publication submissions for conferences journals or public repositories e g ICML ICLR NeurIPS Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Pune Date of drive- 12th July 2025(Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

LLM & Prompt Engineer About PureCode AI : PureCode is a front-end developer tool where engineers can use text to describe and generate or customize software user interfaces - (and soon entire projects). Our goal is tobuild a must use developer tool for front-end engineers to build web software 100x faster! We are headquartered in Austin, TX, USA with engineering offices in Bangalore, India. This position is for exclusively in office work in Bangalore. Please visit our site to understand our product before applying https://purecode.ai/ Responsibilities : - Develop and optimize prompts for AI systems to assist developers in generating high-quality code, improving documentation, and automating tasks. - Designing, Developing and Refining prompts to enhance the quality and relevance of generated response. - Monitor and analyze prompt's performance to identify areas of improvements. - Understand user behavior and requirements and develop accordingly. - Stay proactive in identifying opportunities for innovation and improvement in our AI systems. - Stay up to date with advancements in AI, NLP, and prompt engineering, and apply this knowledge to improve our products and processes. - Conduct experiments to test and evaluate the effectiveness of different prompts in producing optimal results for end users. Qualifications : - Knowledge of LLM parameters and configuring these parameters to get different results for prompt. - Understanding of all prompt elements and experience in modifying those elements to get better results. - Experience with existing prompting techniques. - Experience with using suitable prompts for various applications (e.g. Generating code, Generating data, etc.). - Experience with RAG and handling hierarchical data (e.g. Codebase) for RAG. - Knowledge of capabilities of various LLMs and how can we use different prompts efficiently to improve the capacity of LLMs. - Knowledge of scaling, agents, efficiency, hallucination, prompt injection, etc. - Understanding of Graph databases and Tabular databases and utilization of prompts to make LLM interact with these databases. - Knowledge of latest research on prompt engineering for LLMs.

About PureCode AI : PureCode is a front-end developer tool where engineers can use text to describe and generate or customize software user interfaces - (and soon entire projects). Our goal is to build a must use developer tool for front-end engineers to build web software 100x faster! We are headquartered in Austin, TX, USA with engineering offices in Hyderabad, India. This position is for exclusively in office work at our Q City Office in Hyderabad. Responsibilities : - Designing and implementing advanced state-of-the-art AI models, specializing in LLMs, VLMs and MLLMs. - Develop ML models, fine tune and work with stakeholders in finalising champion models. Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety. - Understand how customer business needs are mapped to AI/ML problem and solution involving Algorithms/Models. - Support the process of Translating business problems into ML problems and create ML solutions to produce desired customer business outcomes. - Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML Models - Craft data warehousing strategy alongwith instrumenting ETL pipelines for maintaining quality data to be used for Model Training. - Design and implement A/B experiments - user segmentation, user classification, and tooling to support A/B experiments. Qualifications : - 3+ years of working experience developing, deploying, tracking and orchestrating scalable ML/AI solutions. - Familiarity with cloud platforms and services such as AWS, Azure, or GCP for deploying and scaling AI solutions. - Knowledge of basic ML stack - Pytorch, tensorflow, sklearn, numpy, pandas, etc. - Familiarity with experiment tracking tools like Weights & Biases, TensorBoard, or ClearML. - Hands on experience with MLOps tools like Mlflow, CometML, Docker, etc. - Hand on experience with workflow orchestration tools like Airflow, Prefect, or Databricks, etc. - Knowledge of API frameworks Django, Flask etc. - Knowledge of web development tools is a plus. - Knowledge of LLMops, langchain framework is a plus

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 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.

Role & responsibilities The AI/ML Engineer will be responsible for the development and implementation of open-source large language models (LLM) tailored for the Banking, Financial Services, and Insurance (BFSI) sector. You will work collaboratively with cross-functional teams to design innovative solutions that enhance our product offerings, enabling more efficient customer interactions and data insights. Your analytical skills will help in improving the performance and scalability of LLM applications while ensuring adherence to compliance and security standards. Responsibilities Develop and implement open-source LLMs for BFSI applications. Collaborate with product managers, data scientists, and software engineers to define project objectives and deliver high-quality solutions. Conduct experiments and optimize model performance using real-world datasets. Monitor and evaluate model effectiveness in production and refine models based on feedback. Stay up-to-date with the latest advancements in AI/ML to incorporate relevant best practices into the development process. Contribute to documentation and knowledge base for models and methodologies. Requirements Bachelors degree or equivalent experience in Computer Science, Engineering, or a related field. Minimum of 3+ years of experience in AI/ML development, preferably in the BFSI industry, [With hands on coding and interview will be technical, you need to demonstrate your expertise in coding without AI agents and search engine You must have built and deployed AI/ML solutions to production Proficient in programming languages such as Python and also preferably typescript and java ; Python is core requirement . Proficiency in flask,fast api framework and have built application which is compliant to security standards and performant and scalable Able to work with rdbms and nosql databases and vector databases Experience with open-source ML frameworks (e.g., TensorFlow, PyTorch). Industry experience with open-source LLM frameworks (e.g., Langchain, ollama etc...). Solid understanding of machine learning algorithms, data structures, and statistical methods. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders

Hiring (Sr.) AI/LLM Engineer in Pune/Bangalore. Work on LLMs, RAG, scalable AI solutions using Python, Transformers, LangChain. Requires strong ML skills. Apply now to join T-Systems' AI team. Apply- mugdhha.genesishrs@gmail.com Contact- 9370647192

Senior Data Scientist GenAI | Azure | RAG | NLP | CV Job Description: We are looking for an experienced Data Scientist with strong expertise in Python programming , Azure AI services , and GenAI-based solution development . The ideal candidate should have hands-on experience in building RAG (Retrieval-Augmented Generation) based solutions , working with LLMs , and deploying AI applications using modern MLOps practices. Key Responsibilities: Design, develop, and deploy GenAI/LLM-powered solutions using Azure OpenAI , FastAPI , and RAG architecture . Leverage Form Recognizer , Cognitive Search , Embeddings , and Vector DBs for intelligent document processing and retrieval. Implement NLP and Computer Vision models for real-world use cases. Perform data preparation, chunking , and embedding generation for knowledge retrieval. Develop, monitor, and maintain CI/CD pipelines for model training and deployment. Work with NoSQL/Vector databases (e.g., CosmosDB, Pinecone, FAISS). Create dashboards and visualizations using tools like Power BI , Plotly , or Matplotlib . Collaborate with cross-functional teams to translate business needs into technical solutions. Stay up-to-date with the latest in ML/Deep Learning , transformer models , and GenAI research . Required Skills: Strong Python programming with expertise in data science libraries (NumPy, Pandas, Scikit-learn, etc.) Azure Services: OpenAI, Cognitive Services, Form Recognizer, Azure ML GenAI: OpenAI APIs, Prompt Engineering, LangChain, RAG FastAPI for model serving and deployment NLP, CV, Deep Learning with frameworks like TensorFlow or PyTorch CI/CD pipelines for model training and deployment Experience with Vector DBs (FAISS, Pinecone, Weaviate) Embedding techniques, Chunking strategies, and Retrieval methods Data visualization skills (Matplotlib, Seaborn, Power BI) Familiarity with NoSQL database

Job Description: We are looking for an experienced Data Scientist with over 5 years of hands-on expertise in machine learning , particularly in clustering and classification tasks . The ideal candidate will have practical experience working with Large Language Models (LLMs) such as GPT, especially in areas like prompt engineering, summarization, and fine-tuning . Exposure to life sciences or biomedical datasets is highly desirable. Key Responsibilities: Design and implement machine learning models for clustering and classification. Work with LLMs for experimentation, evaluation, and fine-tuning. Apply data science techniques to healthcare or biomedical datasets. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings clearly through reports, dashboards, and presentations. Must-Have Skills: 5+ years of experience in data science and machine learning. Strong proficiency in clustering and classification techniques. Hands-on experience with Python and libraries like Scikit-learn, Pandas, NumPy. Experience working with LLMs (e.g., GPT) for real-world use cases. Exposure to healthcare, clinical, or life sciences datasets (preferred). Strong statistical analysis and data interpretation skills. Excellent communication and problem-solving abilities. Preferred Candidate Profile: Immediate joiners or candidates with a notice period of 015 days . Passionate about applying AI/ML to real-world problems in life sciences. Comfortable working in a fast-paced, collaborative environment.

Role & responsibilities **Key Responsibilities** * Design and implement AI/ML pipelines using Python. * Content Personalization Requirements * Architect and manage databases such as MongoDB, MySql, PostgreSQL with * Knowledge in VectorDatabase and semantic search * Engineer high-quality prompts for LLMs to ensure accurate and context-aware responses. * Collaborate with cross-functional teams to integrate AI capabilities into production systems. * Monitor and maintain deployed models, ensuring performance, scalability, and reliability. * Stay up to date with the latest advancements in AI, LLMs, Preferred candidate profile **Required Qualifications** * Experience in AI/ML engineering with a strong focus on LLMs and generative AI. * Proficiency in Python and deep learning frameworks * Hands-on experience with LLM APIs for scale * Working experience in Video Generation models * Strong understanding of vector databases * Expertise in prompt engineering and LLM fine-tuning. * Familiarity with MLOps practices and cloud platforms (GCP, AWS). * 3 to 5 years of Work Experience

Job Title: Backend Engineer Python + AI Integration Location: India (Hybrid - Preferably Chennai/ Mumbai / Pune) Experience Required: Minimum 5 Years Joining Timeline: Immediate to 30 Days Preferred Role Overview: We are seeking a seasoned Backend Engineer with strong proficiency in Python and a solid understanding of AI/ML model integration . This role is ideal for someone who thrives at the intersection of backend engineering and intelligent systems building scalable APIs, handling data workflows, and integrating machine learning models in production environments. Key Responsibilities: 1. Backend & API Development Develop RESTful and GraphQL APIs using Django, FastAPI, or Flask . Implement async tasks with tools like Celery, RabbitMQ , and webhooks. Design clean, scalable, and secure architecture following SOLID principles . 2. Database Design & Optimization Design, maintain, and optimize PostgreSQL databases JSONB, partitioning, window functions, materialized views, etc. Write complex SQL queries , design ER diagrams, manage schema migrations (e.g., Alembic, Flyway). Troubleshoot performance issues using EXPLAIN plans , handle connection pooling, and resolve deadlocks. 3. AI/ML System Integration Work closely with data scientists to deploy ML models as APIs. Use tools like scikit-learn, PyTorch, Hugging Face, TensorFlow for integrating AI capabilities. Deploy RAG systems using FAISS, Weaviate, Qdrant , and integrate with OpenAI APIs, LangChain, LlamaIndex . Build pipelines with Airflow, Prefect for continuous training and deployment. 4. Infrastructure & DevOps Containerize applications using Docker & Docker Compose . Implement CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins . Monitor systems using Prometheus, Grafana, ELK, or Sentry . Familiarity with cloud platforms ( AWS, GCP, Azure ) working with S3, Lambda, Cloud SQL, SageMaker , etc. Must-Have Skills: Proficiency in Python and OOP principles. Deep knowledge of PostgreSQL and general RDBMS optimization. Experience with RESTful APIs , async processing, and microservice design. Exposure to AI/ML workflows , including model deployment and monitoring. Knowledge of authentication/authorization standards (OAuth2, JWT). Good-to-Have (Bonus Skills): Experience with LLMs , embedding-based search , and RAG systems . Familiarity with Streamlit/Dash for internal tools and dashboards. Understanding of data governance , PII protection, and anonymization. Exposure to event-driven systems (Kafka, AWS SNS/SQS). Open-source contributions or technical blog writing. Interested Candidates can drop your resume to subashini.gopalan@kiya.ai

The Role : The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking efforts. Responsibilities : - Proficiency in Large Models & Deep Neural Networks. - Hands-on experience in working with large models & deep neural networks. - Expertise in LLMs with working knowledge of large language models (LLMs). - Extensive experience in System platform Architecture. - Experience in Development Preferable for memory/storage/ any embedded system. - In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. - Extensive experience with C/C++ and Python programming. - Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. - Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. - Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. - Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). - Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. - Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. - Integrate multi-modal AI models (text, image, speech) into enterprise solutions. - Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. - Ensure AI models follow ethical AI guidelines, bias mitigation, and security best practices. Requirement : - Tech in Computer Science, Electrical Engineering. - 8 to 10 Years of experience in relevant domain. - Strong analytical & abstract thinking ability as well as technical communication skills. - Able to work independently and perform in fast paced environment. - Ability to troubleshoot and debug complex issues. - Working Knowledge on Device Driver is desirable. - Prior experience in working with Agile/Scrum. Required Skills : - Languages & Frameworks : Proficiency in Python, PyTorch, TensorFlow, JAX