1042 Llm Jobs - Page 5

The company is an innovative AI-driven organization focused on revolutionizing Real Estate with AI technology. As they continue to grow and reach new heights, they are in search of a detail-oriented and strategic Finance Manager to oversee the financial well-being of the company. As an AI R&D Engineer, you will be responsible for designing, training, fine-tuning, and evaluating large language models for various conversational AI applications. Your role will involve staying updated on the latest developments in LLMs, NLP, and generative AI, as well as proposing and implementing innovative methods to enhance model performance and reliability. Collaboration with product managers, software engineers, and UX designers will be essential to seamlessly integrate AI models into user-facing applications. Additionally, you will develop APIs, tools, and infrastructure for deploying models in production environments, establish evaluation metrics and benchmarks for conversational systems, and continuously monitor model performance for optimization based on user feedback and data-driven insights. Furthermore, you will play a key role in guiding and mentoring junior engineers in applied AI research, engineering best practices, and MLOps. The company encourages a culture of experimentation, excellence, and continuous learning to drive innovation and growth. Qualified candidates should have a minimum of 2 years of experience in AI/ML R&D, with expertise in NLP and LLM technologies such as GPT, LLaMA, Falcon, and PaLM. Strong programming skills in Python, proficiency in ML frameworks like PyTorch or TensorFlow, experience with cloud platforms, containerization, and CI/CD pipelines, as well as the ability to communicate complex ideas effectively to technical and non-technical stakeholders are essential for success in this role. If you are interested in this opportunity, please share your CV at anjali@hirojet.com.,

Acronotics Limited is a specialist consulting and services firm focused on modern-age automation technologies such as Robotic Process Automation (RPA) and Artificial Intelligence (AI). We apply human intelligence to build cutting-edge robotic automation & AI solutions for our clients. Our team consists of world-class automation & AI engineers, designers, consultants, and thought leaders. Our mission is to help clients design, develop, implement, and run game-changing, transformative robotic automation and AI solutions. We are looking for a detail-oriented and strategic Business Analyst to support the successful execution of our Projects. The ideal candidate will work at the intersection of business, data, and technology, acting as a bridge between the Finance team and the technical team. They will be instrumental in gathering requirements, validating outputs, ensuring alignment with business objectives, and supporting iterative delivery across phases. Key Responsibilities: - Collaborate with stakeholders from Finance team to capture business requirements and translate them into actionable technical inputs. - Define and refine natural language query use cases across all phases, from core financial KPIs to predictive simulations. - Analyze financial reports (e.g., Key Figures, Financial Statements, Capex Reports) and map them to underlying data structures (Power BI, OLAP Cubes). - Validate query responses generated by the Copilot and provide structured feedback to the technical team. - Support scenario design for forecasting and ML-based simulations. - Contribute to prompt engineering and RAG (Retrieval-Augmented Generation) context definition to improve AI performance. - Facilitate UAT (User Acceptance Testing) and maintain traceability between requirements, test cases, and outcomes. - Participate in Agile ceremonies and sprint reviews, ensuring business alignment and timely sign-offs. - Work with data owners to document dataset definitions, KPIs, cube hierarchies, and metadata needed for model context. Requirements: - 5+ years of experience as a Business Analyst in corporate finance or analytics-focused projects. - Strong understanding of financial reporting, variance analysis, forecasting, and budgeting processes. - Experience working with BI tools such as Power BI and OLAP cubes (SSAS). - Familiarity with Excel and PowerPoint-based financial commentaries and how they are used in decision-making. - Exposure to AI, ML, or LLM-based platforms (e.g., Azure OpenAI, Copilot interfaces) is a plus. - Comfortable working with semi-structured and structured data sources. - Excellent communication skills able to distill complex technical outputs into business-friendly narratives. - Proficient in creating BRDs, user stories, workflows, and test cases. Good to have: - Experience in enterprise finance transformation or AI implementation projects. - Knowledge of Azure ecosystem tools (Azure ML, Azure Functions, Azure Key Vault). - Experience with tools like JIRA, Confluence, or Azure DevOps. - Certification in Business Analysis (CBAP/CCBA) or Agile (Scrum Product Owner/BA). Location: Bangalore,

As an Amdocs Software Architect, you will be responsible for leading the architectural roadmap, providing architecture solutions throughout the software development lifecycle, and performing advanced software engineering tasks. You will have the autonomy to deliver technical objectives, make decisions based on extensive analysis, and offer technical expertise in software usage, functional, and non-functional aspects. Collaborating with software engineers and other architects, you will define and refine product structures to align with business needs and ensure seamless development, deployment, and maintenance. Additionally, you will work closely with customers and product line management to translate customer requirements into technical specifications, support and lead architectural decisions within product lines, and oversee projects while guiding software engineers on design decisions. Researching, evaluating, and prototyping new methodologies and technologies, you will drive process and tool improvements, all while gaining a deep understanding of customer contexts to inform technical choices. Key Responsibilities: - Extensive experience working with Various LLMs such as Lama, Gpt, and others - Hands-on experience in handling GenAI use cases - Expertise in developing Cloud Jobs for data ingestion for learnings - Establishing partnerships with project stakeholders to offer technical assistance in critical decisions - Development and implementation of Gen AI Use-cases in Live Production as per business/user requirements Technical Skills: Mandatory Skills: 1. Deep learning engineering expertise, particularly in MLOps 2. Strong NLP/LLM experience for text processing using LLM 3. Proficiency in Python & Terraform programming 4. Building backend applications using Python and deep learning frameworks 5. Deploying models and creating APIs (FAST API, FLASK API) 6. Experience working with GPUs 7. Working knowledge of Vector databases like Milvus, Azure Cognitive Search, Quadrant 8. Expertise in transformers and hugging face models such as llama, Mixtral AI, and embedding models Good to Have: 1. Knowledge and experience in Kubernetes, Docker 2. Cloud experience with VMs and Azure storage 3. Sound data engineering experience Behavioral Skills: - Excellent communication with clients and operational managers, actively listening and providing solutions - Strong problem-solving skills and ability to gather information effectively - Building strong relationships with clients, operational managers, and colleagues - Adaptability, prioritization, and ability to work under pressure to meet deadlines - Proactive thinking, anticipating problems, and offering innovative solutions - Effective presentation skills - Willingness to work extended hours when required,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

Amity University is a highly research-oriented, innovation-driven, and interdisciplinary University accredited by the NAAC with grade "A+". With over 35,000 students on its campus in Noida (Delhi NCR), the University is ranked amongst the top 3% of universities globally and holds the highest US and UK accreditations. The extensive national and global network of Amity Universities and Institutions provides significant opportunities for joint research and mobility. Amity University Noida is seeking applications for the position of Assistant Professor at the Amity Institute of Advanced Legal Studies [AIALS]. Established in 2003 by Professor Tahir Mahmood, AIALS is a postgraduate and research institution of Amity University Uttar Pradesh [AUUP]. It offers instruction in various legal disciplines at Masters, Doctoral, and Post-Doctoral levels. AIALS, an independent unit of the AUUP Faculty of Law, specializes in LLM programs in five different specializations. Additionally, the Amity Law School, established in 2004, offers three and five-year undergraduate law programs as well as seven other specialized LLM programs. Candidates applying for this position should possess a Ph.D., LLM & LLB from leading international/Indian institutions. A minimum of 1+ years of teaching/industry/research experience in renowned institutes is required. Excellent verbal and written communication skills in English are essential. Candidates who have submitted their PhD thesis are also encouraged to apply. A strong research track record with a substantial number of publications in Scopus Indexed Journals is preferred. Individuals with industry experience are also welcome to apply. Remuneration will be competitive and commensurate with qualifications and experience. Interested candidates can submit their resumes to bbhardwaj@amity.edu.,

As a Senior Data Scientist at CIS, you will be a valuable member of our Artificial Intelligence team, specializing in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision. With 2.6 to 6 years of experience, you will hold a Bachelor's degree or Master's in computer science, mathematics, or a related field. Your primary responsibilities will include designing, developing, and optimizing machine learning algorithms and deep learning applications. You will work closely with cross-functional teams, including data scientists, administrators, and data engineers, to enhance production systems and applications. It will be crucial to identify data distribution differences that may impact model performance and ensure accurate user recommendations. Key duties will involve transforming data science prototypes, running machine learning tests, monitoring systems, and constructing data pipelines. Your role will also require collaborating with managers to refine machine learning objectives and extending existing libraries and frameworks. To excel in this position, you must possess impeccable analytical and problem-solving skills, along with a solid foundation in math, probability, and algorithms. Proficiency in machine learning frameworks such as Keras or PyTorch, data modeling, and software architecture is essential. Strong time management, communication, and collaboration skills are also key attributes, along with a continuous learning mindset and a passion for innovation. This position is based in Indore, MP, with a work-from-office model. You should be open to on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with associated benefits. If you are looking to join a dynamic team and contribute to cutting-edge machine learning projects, apply now from multiple locations listed in the job posting.,

Job Title: AI/ML Engineer Python Backend & LLMs Job Summary: We are seeking a Python Backend Engineer with experience in AI/ML workflows , particularly LLMs and LangChain . The role focuses on developing Generative AI-driven applications, integrating LLMs, building data-pipelines, and backend services. Prior experience with generative AI is strongly preferred. Key Responsibilities: Implement LangChain/LangGraph workflows for AI-driven automation. Fine-tune LLMs for business applications. Build and optimize FastAPI-based backend services. Manage data pipelines and storage using PostgreSQL . Deploy and scale AI models using Docker (Kubernetes is a plus). Work with AWS SageMaker, GCP Vertex AI, or Azure ML for model deployment. Improve inference efficiency and reduce latency for real-time AI applications. Required Skills: Strong Python backend development (FastAPI preferred). Experience with LLMs, and prompt engineering . Hands-on experience with LangChain/LangGraph . Knowledge of PostgreSQL and scalable data storage. Familiarity with Docker, Kubernetes for containerization. Exposure to at least one cloud platform (AWS/GCP/Azure). Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, Qdrant, etc.). Experience with fine-tuning LLMs. Familiarity with micro-services Familiarity with MLOps best practices. Familiarity with any of AWS SageMaker, GCP Vertex AI, or Azure ML for AI model deployment.

The incumbent should be a Law graduate (LLB) / a postgraduate qualification (LLM) from a reputed law school , and must possess a minimum of 10 years of experience in the legal department with strong core legal expertise in corporate law, preferably within the manufacturing / FMCG industries. Designation: Legal Manager / AGM Job Location: Chennai Reporting to: Head Legal / MD Expertise in: Property & Real Estate Law, Trademark Law, Civil Law & Corporate Law Preferable Gender: Male Job Description: The Legal Manager will be responsible for overseeing and managing all legal matters concerning Property, Corporate, Civil, Real Estate, Trademark , and Intellectual Property laws. This role involves offering strategic legal counsel to senior management, ensuring full regulatory compliance, mitigating legal risks, and safeguarding the organizations interests in a dynamic and growth-oriented environment. Key Responsibilities: 1. Property & Real Estate Law: Review, draft, and negotiate lease agreements, sale deeds, MoUs, title documents, and other related documents. Conduct comprehensive legal due diligence of properties, including verification of titles, encumbrances, and land-use permissions. Handle land acquisition, lease renewals, property tax issues, and registration formalities. Coordinate with landowners, external counsels, and government bodies. Support corporate loan processes with legal documentation, securities, and MODs. 2. Corporate Law & Compliance: Draft and vet board resolutions, shareholders agreements, JV agreements, and other corporate documents. Advise on mergers, acquisitions, restructuring, and compliance with statutory filings. Manage legal issues pertaining to civil, criminal, and contractual (CCC) matters. 3. Civil & Contractual Matters: Prepare, review, and negotiate commercial contracts, service agreements, NDAs, vendor contracts, and export/import agreements. Support arbitration and litigation procedures, including documentation and case tracking. Liaise with external legal advisors for court proceedings and updates. 4. Trademarks & Intellectual Property Oversee trademark registrations, renewals, and enforcement of brand IP rights. Handle IP disputes, infringements, and opposition filings. Maintain the companys IP portfolio in collaboration with IP consultants. 5. Risk Management & Legal Advisory Provide legal opinions and develop risk mitigation strategies for business functions. Assist in internal investigations, audits, and corporate compliance activities. Conduct awareness sessions and training programs on legal and regulatory frameworks. Key Skills & Competencies: Strong knowledge of Indian laws (Property, Corporate, Civil, IPR) . Excellent legal drafting, negotiation, and communication skills. Proven litigation management and external counsel coordination. Detail-oriented, proactive, and solution-driven. High integrity and sound judgment. Note: Interested candidates meeting the above JD requirements are welcome to apply. Our official Email id: info@pyramidhrc.com. Our contact no: 8903817147 Note: Please go through the complete Job Description and do self assessment before contacting us. Perks and Benefits 15 - 20% Hike from current CTC

kills for Gen AI: Candidate should worked on Gen AI projects. Hands on experience in deployment/ production support. Skills: Gen AI, Fast API,LLM, Flask, Python, Machine Learning

Position: Gen AI Engineer Location: Noida/ Hyderabad Job Overview: As a Generative AI Engineer in our engineering team, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services. Key Responsibilities: Design, train, fine-tune, and evaluate generative AI models (LLMs, diffusion models, transformers, etc.) Implement prompt engineering and retrieval-augmented generation (RAG) pipelines Develop APIs and services for integrating generative AI into products Build and maintain scalable machine learning pipelines (e.g., data preprocessing, model training, inference serving) Conduct experiments, benchmark models, and contribute to model selection Collaborate cross-functionally with product, design, and infrastructure teams Monitor and optimize model performance, latency, and safety in production Stay current with state-of-the-art research in generative AI and foundation models Qualifications & Skills: Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field 5+ years of experience working with deep learning frameworks (e.g., PyTorch, TensorFlow) Strong understanding of transformer architectures, attention mechanisms, and generative models Experience with LLM s like GPT, LLaMA, Claude, Mistral, or similar Proficiency in Python and ML tooling (e.g., Hugging Face, LangChain, Weights & Biases) Familiarity with cloud environments (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) If interested plz contact 9513487487 jobs@intellisearchonline.net

Company Description TAO: The Automation Office is an independent, pure-play automation consulting and solutions provider based in Bengaluru. We believe in the power of automation solutions and their potential to revolutionize how companies function. As an end-to-end automation solutions partner, we work closely with clients to develop and implement automation strategies, ranging from basic RPA to advanced cognitive and machine learning solutions. Our value comes from our proprietary tools and frameworks, managed by the largest independent pool of experts and supported by best-in-class partnerships. The Automation Office delivers intelligent IP based solutions that digitally transform business processes orchestrated with precision across all layers of the tech stack, on an outcome guaranteed basis. Role Description We're in search of an RPA Developer that is ready to innovate and explore what's possible in the world or robotics. In this role, you'll work cross-functionally with business operations and business analysts to create and optimize workflow processes. You'll also lead initiatives related to designing and managing workflow automation projects, testing and fixing bugs. To be successful, you'll need experience in technologies including UiPath and Automation Anywhere. Experience: 3-5 years of Industry Experience Qualification: B.Tech./B.E. Job Type: Full-time RPA Developer Requirements Minimum 3 yearsin Automation Anywhere Hands on experience in any of the programming languages like C/C++, Python, VB Script, Ruby, Java, JS, .Net etc. Automation Anywhere RPA Developer certifications mandatory APA (Agentic Process Automation) certification mandatory Proof of Concept (POC) or project experience with LLMs (e.g., ChatGPT) Exposure to AWS AI and Claude Sonnet (AI/LLM-related work) Experience with Automation Anywhere and its integration with AI solutions Familiarity with APA (Agentic Process Automation) Basic programming knowledge on HTML, JavaScript (or any scripting language). Able to design technical specification documentsfor RPA Projects. Experience developing and consuming APIs. Experience with Agile development methodology. Understanding of workflow-based logic. Strong attention to detail and analyticalskills. Superior time and project management skills. Ability to present technical detailsto non-technical audiences. Excellent problem solving/analytical skills and complex troubleshooting methods. Ability to work through ambiguoussituations. Excellent presentation, verbal, and written communication skills. Self-motivated, able to work independently, and able to take initiative without always being directed. Ability to multitask in a fast-paced environment and prioritize the most critical tasks and projects. RPA Developer Responsibilities Provide guidance with process design Design, develop, and test automation workflows. Deploy RPA components including bots, robots, development tools, code repositories and logging tools. Support the launch and implementation of RPA solutions. Create process and end-user documentation. Assure the quality of the automation (QA processes). Work with Business Analysts, Scrum Masters, QA Analysts, Product Owners, and other cross-functional resources to define and deliver business impacting projects. Work directly with stakeholders to capture businessrequirements and translate them into technical approaches and designs that can be implemented. Collaborate with development team membersto ensure proper implementation and integration of the solutions. Support deployments or troubleshoot production issues outside of work hours and participate in an oncall rotation as-needed. Maintain current knowledge ofrelevant technologies and business processes. Job Location: Bengaluru, Karnataka

Role and Responsibilities: Build, design, and deploy solutions, new integrations/APIs (.NET). Update existing API functionalities (enhancements or bugfixes) on Azure Services (APIM, Azure functions). Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Work with CI/CD regards to the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mandatory Skills Experience with Microsoft Azure services like Azure functions, API Management, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as C#, Angular js, Angular and T SQL Excellent problem-solving and troubleshooting skills. Good to Have Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Working knowledge at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights), CI/CD, Redis, Cosmos DB, Rabbit MQ, Couch base Location Malad West, Mumbai Notice Period: Immediate to 30 Days

We are seeking an experienced Senior Azure .NET Developer with a strong background in developing scalable cloud-based applications and services. The ideal candidate will have extensive experience working with .NET (8.0, 6.0), .NET Core, and Azure services, along with a solid understanding of AI/ML and OpenAI large language models (LLMs). The role also requires hands-on experience in CI/CD pipelines, containerization, and database technologies. Prior team leadership or mentoring experience is highly desirable. Key Responsibilities Design, develop, and maintain cloud-native applications using .NET 8.0, 6.0, and .NET Core frameworks. Build and deploy microservices and serverless functions leveraging Azure Functions and other Azure services such as Azure API Management (APIM), Cosmos DB, and Azure DevOps. Implement and manage CI/CD pipelines using Azure DevOps or similar tools to ensure smooth, automated deployments. Develop and maintain containerized applications using Docker. Work closely with data teams and architects to design solutions incorporating MSSQL Server and Cosmos DB. Integrate AI/ML capabilities and OpenAI large language models into applications to enhance functionality. Ensure high code quality, unit testing, and adherence to best practices in software development. Collaborate with cross-functional teams including product owners, UX/UI designers, and QA to deliver high-quality software products. Provide technical leadership and mentorship to junior developers, and support team lead activities when required. Participate in architectural discussions and provide input on system design and enhancements. Troubleshoot and resolve complex technical issues in production environments. Stay updated with the latest industry trends and Azure innovations to continuously improve the product and processes. Required Skills and Experience Minimum 7 years of experience in .NET development , including expertise in .NET 8.0 and 6.0, and .NET Core. Strong hands-on experience with Azure services , including but not limited to: Azure API Management (APIM) Azure Functions Azure DevOps (CI/CD pipelines) Expertise in containerization technologies like Docker . Proficient in database management with MSSQL Server and Cosmos DB . Practical experience with AI, Machine Learning (ML), and OpenAI Large Language Models (LLMs) . Knowledge of best practices in cloud-native application development. Experience in building and deploying scalable, resilient microservices. Previous experience in team leadership or mentoring is a plus. Strong problem-solving skills and ability to troubleshoot complex systems. Excellent communication and collaboration skills. Educational Qualification Bachelors or Master’s degree in Computer Science, Information Technology, or a related field.

Role and Responsibilities: Design, code and implement scalable, maintainable, secure cloud solutions using .NET, .Net Core and Microsoft Azure. Implement DevOps practices, including continuous integration and continuous deployment (CI/CD) pipelines. Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Oversee the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mentor junior developers to resolve technical hurdles and ensure clean, efficient code delivery. Mandatory Skills In-depth knowledge of cloud computing concepts and experience with Microsoft Azure services like Azure functions, API Management, AKS, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as Angular js, Angular, T SQL and C#. Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio, OpenAI API, Lang Chain and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Excellent problem-solving and troubleshooting skills. Worked knowledge of at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights, AKS), CI/CD, Docker, Kubernetes, Redis, Cosmos DB, Rabbit MQ, Couch base, Open AI, ML, OpenAI API, Lang Chain Location Malad West, Mumbai Notice Period: Immediate to 30 Days

Role & responsibilities Primary: AI/ML Model, NLP, LLM, Data Ingestion & Integration,AI-powered Secondary: CPE modems Total Exp: 3-12 years Rel Exp: 3+ years relevant Scope of Work: Data Ingestion & Integration Preprocessing & Feature Engineering ML/AI Model Development Implement AI-powered workflows that: Trigger alerts for anomalous modems or clusters Suggest most probable root causes with supporting evidence Enable device grouping by failure signature or pattern similarity. Dashboard & Tooling Deliverables: AI/ML triage engine tailored for CPE modems Data ingestion and processing pipeline Root cause and action recommendation engine Integration with existing systems Interactive dashboard for issue monitoring and triaging Model performance reports and tuning guides User training and documentation Email your updated profile on shakambari.nayak@intelliswift.com

Experience : 4+ ,6+,9 + Yrs Skills : Python , Rag, Vector DB, AI/ML ,Langchain/Langgraph , LLM, AWS , Java , Fullstack , Sql , Nosql Face -Face interview - Pune Balewadi

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Primary Skills Python, AI, ML (Machine Learning) Gen AI Generative AI + RAG, NLP, LLM, Deep Learning, Computer Vision, AWS, Cloud Or Azure Open AI (Any Cloud) Experience- 5 to 16 Years Location - Pune If anyone is interested please share your updated resume on my email id - Devyani.Pillai2@ltimindtree.com

NOTE: Candidate should be available for the interview on 2nd Aug Virtually . Immediate to 30 days notice period only. Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programming skills and experience with deep learning popular frameworks such as PyTorch Proficiency in SQL and other programming languages for data analysis and modeling Proficiency with cloud development environments such as Azure, AWS, and GCP Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) Experience with LLM frameworks and/or NLP approaches such as text embedding Experience working on collaborative software projects using GitHub Proven solid technical communication skills Experience with both traditional machine learning algorithms and modern deep learning and generative AI models Proven good knowledge of GPU use, and the ability to rapidly set up pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Skill Set; NLP, NLU, NLI, Transformers, Attention, GPT, Llama, Mistral, Model Quantization, Model Optimization, Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing, and presentation skills Proven advanced understanding of Deep Learning with applications in Time series Processing, NLP, and multimodal modeling GenAI Model Utilization and Optimization Ability to utilize state-of-the-art GenAI models, understand and explain power and limitation of GenAI models Ability to utilize GenAI model for custom solutions, exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Clear understanding and training to handle sensitive data, how to use that safely with GenAI and any other AI models, how deal with restriction and comply with best practices at all time AI/ML Development and Deployment Develop novel AI approaches for healthcare using both structured and unstructured data Ability to utilize GenAI models and build and test deep learning and/or traditional ML models in cloud computing environment Perform data analysis, pre-processing, and feature engineering required to ensure quality and reliability of the AI models and optimize them for performance and robustness Develop and deploy big data pipelines and frameworks for data ingestion, processing, and analysis Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU and multidimensional time series forecasting among others Ability to understand document processing, image processing and NLP and bridging the domain knowledge Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Experimentation and Analysis Design and plan custom experiments, conduct statistical analysis and create data visualizations, and present and communicate in standardized format Run A/B experiments, gather data, and perform statistical analysis Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Collaboration and Communication Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions Best Practices and Documentation Understand full end-to-end machine learning development process Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Innovation and Research Stay up to date with latest technologies and literature Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Research and implement innovative machine learning model, module and approaches Present findings and insights to team members and if required to senior Project and Technology Management Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building GenAI, NLP, ML & AI solutions

What does day-to-day look like: Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants Working across functions to take ideas from concept to production Designing and implementing key parts of the system yourself: this is a hands-on role Collaborating directly with clients to scope, adapt, and deliver high-impact agent solutions Acting as a dependable point of ownership for high-priority initiatives Leading teams, including mentoring engineers and enabling high performance through clarity and trust Bringing clarity, structure, and leadership to fast-moving, high-context work Requirements: 7+ years in engineering, data science, or ML roles with demonstrated end-to-end ownership Proven ability to own and deliver complex, ambiguous projects end-to-end Clear communicator who handles complexity and cross-functional work with maturity Strong hands-on coding skills in Python; able to lead by example Excellent judgment and accountability, you are someone others can rely on [Bonus] Experience working on LLM-powered products, intelligent agents, or autonomous systems Evaluation Process (approximately 120 mins) : Two rounds of interviews (60 min technical + 60 min technical & cultural discussion Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners

Transformer Models- either finetune or training on Open-Source Transformer based models. Should have done projects on LLM, NLP, LLAMA, Hugging face, RAG, Agentic AI/ Gen AI. Hands-on on Python Coding Should have done Gen AI projects.

Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Strong experience with Python, Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.

Business Analyst Lead Experience: 7-10 years Location: Gurgaon / Noida GenAI Strategy & Innovation Bridge Generative AI capabilities with business value to drive adoption of LLMs, RAG systems, and AI agents. Identify impactful use cases (chatbots, synthetic data, automation) and conduct build-vs-buy assessments (e.g., GPT-4 vs. fine-tuned Llama 3). Technical Proficiency Skilled in LangChain, LlamaIndex, Azure OpenAI Studio, GCP Vertex AI, Hugging Face. Hands-on with RAG architectures, LoRA fine-tuning, vector databases. Competent in SQL/Python for data validation and synthetic data tools (Gretel, Mostly AI). Business Analysis & Workflows Lead user story mapping for multi-agent setups (AutoGen, CrewAI). BPMN modeling for AI-human collaboration. Engineer GenAI-specific requirements: accuracy , ethical safeguards, latency SLAs. Stakeholder Alignment Translate AI capabilities into measurable outcomes Manage expectations around AI's probabilistic behavior (e.g., fact-checking workflows). Governance & Measurement Define GenAI KPIs: token cost, trust scores, automation rates. Monitor model drift and trigger retraining. Build audit frameworks ensuring compliance (EU AI Act, industry norms).

What You Can Expect from Us: Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let's make your career great! Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5,RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - Model Expertise : - Work with transformer models such as GPT, BERT, T5, RoBERTa, and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. - Model Fine-Tuning: Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. - Prompt Engineering: Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. - Iterate on prompts to optimize model performance. - Instruction-Based Prompting: Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. - Zero-shot, Few-shot, Many-shot Learning: Utilize zero-shot, few-shot, and many-shot learning techniques to improve model performance without the need for full retraining. - Chain-of-Thought (CoT) Prompting: Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. - Model Evaluation: Use evaluation metrics such as BLEU, ROUGE, and other relevant metrics to assess and improve the performance of models for various NLP tasks. - Model Deployment: Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. - Bias Awareness: Be aware of and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. - Collaboration: Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill : - Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. - Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. - Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. - Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. - Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. - Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. - Experience in instruction-based prompting - Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. - Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. - Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. - Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. - Proficiency in Python and experience with NLP libraries (e.g , Hugging Face, SpaCy, NLTK). - Experience with transformer-based models (e.g , GPT, BERT, T5) for text generation tasks. - Experience in training, fine-tuning, and deploying machine learning models in an NLP context. - Understanding of model evaluation metrics (e.g , BLEU, ROUGE) Qualification : - BE/B.Tech or Equivalent degree in Computer Science or related field. - Excellent communication skills in English, both verbal and written

Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5, RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - Model Expertise : Work with transformer models such as GPT, BERT, T5, RoBERTa, and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. - Model Fine-Tuning : Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. - Prompt Engineering : Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. - Iterate on prompts to optimize model performance. - Instruction-Based Prompting : Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. - Zero-shot, Few-shot, Many-shot Learning : Utilize zero-shot, few-shot, and many-shot learning techniques to improve model performance without the need for full retraining. - Chain-of-Thought (CoT) Prompting : Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. - Model Evaluation : Use evaluation metrics such as BLEU, ROUGE, and other relevant metrics to assess and improve the performance of models for various NLP tasks. - Model Deployment : Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. - Bias Awareness : Be aware of and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. - Collaboration : Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill : - Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. - Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. - Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. - Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. - Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. - Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. - Experience in instruction-based prompting. - Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. - Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. - Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. - Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. - Proficiency in Python and experience with NLP libraries (e.g., Hugging Face, SpaCy, NLTK). - Experience with transformer-based models (e.g., GPT, BERT, T5) for text generation tasks. - Experience in training, fine-tuning, and deploying machine learning models in an NLP context. - Understanding of model evaluation metrics (e.g., BLEU, ROUGE). Qualification : - BE/B.Tech or Equivalent degree in Computer Science or related field. - Excellent communication skills in English, both verbal and written.

Work Timing- 3 pm-12 am Work mode- Remote Experience Required- 5+ Years Salary Package- 20- 28 LPA Specialization: Scalable UI Architecture, Performance Engineering, Cross-Platform Front-End Development We are seeking an experienced Senior Front-End Engineer with expertise in React.js, Next.js, and modern front-end ecosystems to design and implement scalable, secure, and high-performing UI architectures for our digital products. The ideal candidate is passionate about performance engineering, accessibility, and maintainable code, and is capable of guiding architecture decisions and mentoring cross-functional teams. You will work closely with designers, backend engineers, and product managers to create seamless and intuitive user experiences across platforms and browsers, contributing to both technical excellence and business impact. Architect and build modular, high-performance UIs using React.js (Hooks, Context API, Suspense) and Next.js (App Router, SSR, SSG). Lead front-end application architecture with micro-frontend patterns, Web Components, and Module Federation. Implement scalable state management using tools like Redux Toolkit, Zustand, or Recoil. Integrate RESTful and GraphQL APIs using Axios, Fetch, Apollo Client, or URQL. Ensure optimal build and bundling using tools like Webpack, Vite, or Rollup. Optimize application performance using code splitting, lazy loading, tree shaking, WebP, asset optimization, and HTTP/2. Maintain security best practices: mitigate OWASP Top 10 issues (XSS, CSRF), enforce CSP, use secure cookies, validate input, and implement secure authentication flows (OAuth2, JWT, Firebase Auth). Deliver pixel-perfect, accessible, and responsive UI using WCAG 2.1 guidelines, semantic HTML, ARIA, Tailwind UI, Material UI, or ShadCn. Conduct performance audits using Lighthouse, React Profiler, and browser DevTools. Own the visual and functional QA process: build tests using Jest, React Testing Library, Cypress, Playwright, and Storybook + Chromatic for visual regression. Collaborate with DevOps to maintain CI/CD pipelines with GitHub Actions, GitLab CI, or CircleCI. Participate in and lead design reviews, documentation efforts, and sprint planning in Agile teams. Utilize AI-powered development tools like GitHub Copilot, Cursor, Cline, or custom LLM-based agents to improve development velocity and test quality. Preferred Skills Bachelors/Masters in Computer Science, Information Technology, or equivalent. 5+ years of hands-on experience in front-end development, building production-grade React applications with Next.js. Proficient in JavaScript (ES6+), TypeScript, HTML5, CSS3/SCSS. Strong architectural understanding of component design, modularization, micro frontends, and code reuse strategies. Experience with state management tools like Redux Toolkit, Zustand, or Recoil. In-depth understanding of accessibility, cross-browser compatibility, and responsive design. Proficient in Git workflows, npm/yarn/pnpm, and modern IDEs like VSCode. Solid testing practices using unit, integration, and visual regression testing tools. Experience working in monorepos, Module Federation, or multi-team frontend architectures. Familiarity with server-side rendering, static site generation, and edge rendering with Next.js. Experience with containerized environments (Docker) for front-end dev environments. Exposure to RAG, Langchain, or other LLM-based integrations in front-end workflows. Skilled in cross-functional collaboration tools: Figma, Zeplin, Adobe XD, Jira, Confluence. Strong advocacy for performance, UX, accessibility, and clean code practices. Professional Attributes: A passion for clean code and scalable architecture. Strong communication and mentorship skills, with experience onboarding and upskilling developers. Ability to lead through influence and evangelize best practices in front-end engineering. Proactive in problem-solving, with a mindset of ownership and continuous improvement.