166 Llama Jobs - Page 7

We are seeking a highly skilled and motivated AI/ML Engineer with 2-5 years of experience in the software industry. The ideal candidate will have a strong foundation in machine learning, deep learning, and large language models, along with hands-on expertise in modern ML tools and frameworks. Design, develop, and deploy machine learning and deep learning models to solve real-world problems. Apply expert-level proficiency in Python to build and optimize scalable AI solutions. Work extensively with large language models (LLMs) such as LLaMA, Zephyr, Mistral, and OpenAI APIs. Implement and fine-tune transformer-based models, including BERT, GPT, RoBERTa, and related architectures. Leverage ML frameworks and libraries like PyTorch, Langchain, and Spacy in model development. Build and maintain robust MLOps infrastructure to support the complete ML lifecycle. Collaborate with cross-functional teams to integrate AI/ML capabilities into production systems. Demonstrate excellent problem-solving and critical thinking abilities to tackle complex AI challenges.

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Job Type: Full Time Job Description: We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. Collaborate with Product & Data Science teams to define core AI/ML platform features. Analyze business requirements and identify pre-trained models that align with use cases. Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. Preprocess, clean, and analyze large datasets to train and improve AI models. Optimize LLM inference speed, memory efficiency, and resource utilization. Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. Develop APIs, pipelines, and frameworks for integrating AI solutions into products. Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience: AI & Machine Learning: Strong experience in developing & deploying AI/ML models. Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. Programming & Development: Proficiency in Python and experience in API development. Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: Experience with multi-modal AI (text, image, video, speech processing). Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton).

Job Description Requirement Name / Title GenAI Developer Work Location Chennai/ Bangalore/Pune/Kolkata Shift General Shift Mandatory Skills Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance • Implement prompt guardrails to prevent attacks like prompt injection, jailbreaking and prompt leaking • Develop, deploy and maintain auto prompt solutions • Design and implement minimum design standards for every use case involving prompt engineering • You will be responsible for training the machine learning and deep learning model. • Writing reusable, testable, and efficient code using Python • Design and implementation of low-latency, high-availability, and performant applications • Implementation of security and data protection • Integration of data storage solutions and API Gateways • Production change deployment and related support If you're interested or know someone who fits this role, feel free to reach out. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

About the job: The Red Hat, Experience Engineering (XE) team is looking for a skilled Python Developer with 2+ years of experience to join our Software Engineering team. In this role, the ideal candidate should have a strong background in Python development, a deep understanding of LLMs, and the ability to debug and optimize AI applications. Your work will directly impact our product development, helping us drive innovation and improve the customer experience. What will you do? Develop and maintain Python-based applications, integrating LLMs and AI-powered solutions. Collaborate with cross-functional teams (product managers, software engineers, and data teams) to understand requirements and translate them into data-driven solutions. Assist in the development, testing, and optimization of AI-driven features. Optimize performance and scalability of applications utilizing LLMs. Debug and resolve Python application errors, ensuring stability and efficiency. Conduct exploratory data analysis and data cleaning to prepare raw data for modelling. Optimize and maintain data storage and retrieval systems for model input/output. Research and experiment with new LLM advancements and AI tools to improve existing applications. Document workflows, model architectures, and code to ensure reproducibility and knowledge sharing across the team. What will you bring? Bachelor's degree in Computer Science, Software Engineering, or a related field with 2+ years of relevant experience. Strong proficiency in Python, including experience with frameworks like FastAPI/ Flask, or Django. Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows. Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments. Understanding of LLM training processes and data requirements. Experience in LLM fine-tuning, RAG and prompt engineering. Hands-on experience with LLMs (e.g., OpenAI GPT, Llama, or other transformer models) and their integration into applications(e.g. LangChain or Llama Stack). Familiarity with REST APIs, data structures, and algorithms. Strong problem-solving skills with the ability to analyze and debug complex issues. Experience with Git, CI/CD pipelines, and Agile methodologies. Experience working with cloud-based environments (AWS, GCP, or Azure) is a plus. Knowledge of vector databases (e.g., Pinecone, FAISS, ChromaDB) is a plus.

The GN Song C&S Senior Manager, Lifesciences Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning Sales, Service and Marketing to accelerate business change. Practice:Strategy & Consulting Global Network Song I Areas of Work:Life science industry, Commerce & Sales, Platform Enablement viz. Veeva CRM, Salesforce Health Cloud, etc. | Level:Senior Manager | Location:Bengaluru, Gurgaon, Mumbai, Chennai, Kolkata Hyderabad | Years of Exp:12+ years Are you passionate about scaling businesses using in-depth Customer Sales and Strategy techniques? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture GN Song team. The Practice A Brief Sketch The Global Network Song functional team is aligned to the S&C- Global Network division of Accenture and works with clients across its marketing, sales and services department. As part of the team, you will provide transformation services across key offerings like Marketing Transformation, Commerce & Sales and Advanced Customer Engagement. These services help our clients become living businesses by optimizing their marketing and sales strategies and thereby optimizing their cost to serve, thus improving revenue per customer. The Life Sciences & Healthcare Senior Manager position is within the Commerce & Sales practice of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) organizations and would collaborate on innovative projects while bringing in deep industry knowledge to enhance Patient and HCP and consumer experience. You will work closely with our clients as Consulting Professionals who design, build and implement strategies that can help enhance business performance. As part of leading the project teams, you will drive the following:Consulting & Advisory service Lead a team responsible for designing, developing and implementing plans on Sales Transformation solutions across scope of sales strategy and sales operations, sales operating model design, channel strategy and design, HCP partner management, MR Portal Enablement, Consumer Engagement, Route-to-Market (RTM) Strategy, Optimization & implementation, sales force effectiveness, Territory Alignment, business process optimization, incentive compensation management including diagnostics and business case development. Work as an integral part of the client's sales / channel development organization. Work towards driving sales and revenue numbers with a structured, logical and dataoriented approach, conducting Market Opportunity Assessment. Work on diagnostics on client data and processes to understand gaps, in the current state processes to help improve client processes as part of future state recommendations Additional Engagement Opportunities Include:Market entry strategy development, Product launch strategy, Economics of Selling, Optimizing Return on Sales/ Channel Spends, Channel mix assessment and strategy, Sales channel optimization, Process Assessment & Improvisation, Sales Data Analysis, Marketing Planning, Assessment & Sales Enhancement Strategy, GenAI use cases specific to LS in sales and marketing. Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive Sales transformation RFP/ RFI response coming in from Life Science customers for business transformation or platform enablement projects Practice Development Take on leadership role:Support overall growth of practice area through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, MS Dynamics, etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Bring your best skills forward to excel at the role: Strong consulting and advisory experience in Life Sciences industry with deep industry knowledge and understanding of key trends. Deep understanding of Life Science processes, performance drivers & industry leading practices, regulatory and compliance requirements Experience in working as an advisory lead in designing next gen sales transformation solution on digital technologies like Veeva CRM and Salesforce Health Cloud, Data automation and AI tools. Adept with working knowledge of Gen AI based technologies and tools such as ChatGPT, Gemini, DallE, Midjourney, Anthropic, Amazon Bedrock, LLama etc. Capable of using GenAI within applications such as Salesforce, Adobe and MS Dynamics. Implementation experience of Gen AI will be an added advantage. Seasoned professional with significant experience working on a large-scale Business / Operational Transformation project with a significant focus on B2B/ enterprise clients. Strong program management/ people management skills Experience working with "C" level executives Can work in high-paced and complex projects and understand industry-specific sales processes, operations and functional needs Skills to manage stakeholder expectations Ability to work on business proposals from solutioning and effort estimation standpoint and to demonstrate solutions during client orals Excellent communications and presentation skills Performance and status reporting Problem solving and conflict management Ability to work effectively in a remote, virtual and global environment Qualifications Your experience counts! MBA from a premium institute A minimum of 12 15 years of progressive industry and consulting experience with minimum 8+ years of relevant experience in Life Science industry Global exposure is desirable. Working knowledge of Veeva CRM or Salesforce Health cloud and AI tools. Implementation experience is highly desirable. Experience in scoping and aid in designing platform solutions, and extensive experience in implementing it in projects. Demonstrated sustained client relations management experience at a C-suite level or operated at a senior management level in the industry role. Good To Have - Certification in Veeva CRM and/or Salesforce Health Cloud or any other relevant industry leading platform tools. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements

Role: AI Developer Skillset: Python, ML, various models including Claude, OpenAI, Llama, etc. Experience: 3+ years Job Description: We are looking for an AI Developer with expertise in Python and machine learning. The ideal candidate will have experience working with various AI models, including Claude, OpenAI, and Llama. Responsibilities: Develop and implement AI models and algorithms. Collaborate with cross-functional teams to define requirements and deliverables. Analyze and interpret data to develop AI solutions. Stay updated with the latest AI technologies and best practices. Qualifications: 3+ years of experience in AI development. Expertise in Python and machine learning. Experience with AI models such as Claude, OpenAI, and Llama. Strong problem-solving and analytical skills. Good communication and teamwork skills.

Job Title: Technology AI Engineer Location: Gurugram (Onsite) Experience: 2+ Years Budget: Open Job Overview: We are looking for a highly skilled Technology AI Engineer who is proficient in both front-end and back-end development. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), AI architecture, data structures, and AI prompt engineering . The role requires expertise in building APIs , working with OpenAI, Llama, and Anthropic models , and creating scalable AI-powered applications. Key Responsibilities: Develop and optimize AI-based applications leveraging LLMs. Design and implement scalable AI architectures and data structures to support AI functionalities. Build and manage AI-driven APIs for back-end integration. Work with OpenAI, Llama, and Anthropic models to develop AI solutions. Collaborate with data scientists and AI researchers to fine-tune and deploy models. Develop secure and efficient backend services using modern frameworks. Implement front-end components to integrate AI capabilities into user interfaces. Monitor and improve the performance of AI-driven applications. Required Skills & Qualifications: 2+ years of experience in Full Stack Development (Frontend & Backend) Strong experience in AI Model Integration (OpenAI, Llama, Anthropic) Solid understanding of AI architecture and data structure development Expertise in API Development and AI-driven applications Proficiency in Python, JavaScript, or similar technologies Hands-on experience with cloud platforms (AWS, GCP, or Azure) Experience with Vector Databases and Retrieval-Augmented Generation (RAG) is a plus Strong problem-solving skills and ability to optimize AI workflows

Gen AI Developer with 2 to 7 years of hands-on experience in to architect and deliver cutting-edge AI solutions using Large Language Models (LLMs), diffusion models, and other generative frameworks.

Role & responsibilities Gen AI Engineer Work Mode :Hybrid Work Location : Chennai / Hyderabad Work Timing : 2 PM to 11 PM Primary : GEN AI Python, AWS Bedrock, Claude, Sagemaker , Machine Learning experience) 8+ years of full-stack development experience 5+ years of AI/ Gen AI development Strong proficiency in JavaScript/TypeScript, Python, or similar languages Experience with modern frontend frameworks (React, Vue.js, Angular) Backend development experience with REST APIs and microservices Knowledge of AWS services, specifically AWS Bedrock, Sagemaker Experience with generative AI models, LLM integration and Machine Learning Understanding of prompt engineering and model optimization Hands-on experience with foundation models (Claude, GPT, LLaMA, etc.) Experience retrieval-augmented generation (RAG) Knowledge of vector databases and semantic search AWS cloud platform expertise (Lambda, API Gateway, S3, RDS, etc.) Knowledge of financial regulatory requirements and risk frameworks. Experience integrating AI solutions into financial workflows or trading systems. Published work or patents in financial AI or applied machine learning.

Job Purpose To lead the design, development, and deployment of advanced AI/ML and Generative AI solutions, driving innovation and business value across the organization. This role serves as the technical and strategic leader responsible for shaping AI initiatives, ensuring scalable architecture, and aligning solutions with business objectives. The AI/ML/Gen AI Lead will also manage cross-functional collaboration, effectively communicating with stakeholders to translate complex technical concepts into actionable insights and drive adoption of AI technologies. Must have experience both POC and with Production grade solutions Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as: Chatbots and conversational agents Intelligent document processing Code generation and copilots Content summarization, personalization, or generation Customize and fine-tune foundation models (e.g., GPT, LLaMA, Claude, Mistral) for domain-specific use cases. Drive evaluation and integration of GenAI frameworks and tooling (e.g., LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute the Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business stakeholders to identify and prioritize GenAI use cases. Lead POCs and pilots to validate ideas before full-scale implementation. Ensure robust, secure, and ethical deployment of GenAI systems, including governance and monitoring. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Supporting Azure) Deploy and operationalize models using cloud platforms, ideally Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure (e.g., vector databases, inference endpoints, GPUs) for performance and cost-efficiency. Utilize MLOps practices for model lifecycle management and reproducibility. Experience Required 8+ years of experience in AI/ML, with at least 2+ years in GenAI-specific roles. Proven experience with foundation models (e.g., GPT-4, Claude, LLaMA) and relevant toolsets. Proficiency in Python and AI/ML libraries (e.g., PyTorch, Transformers, Hugging Face). Strong understanding of prompt engineering, RAG, LLMOps, and LLM fine-tuning. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Azure AI Search). Familiarity with enterprise AI integration (APIs, plugins, cloud deployment). Preferred Qualifications Bachelors or Master’s degree in Computer Science, Machine Learning, AI, or a related field (PhD preferred).

Job Purpose To lead the design, development, and deployment of advanced AI/ML and Generative AI solutions, driving innovation and business value across the organization. This role serves as the technical and strategic leader responsible for shaping AI initiatives, ensuring scalable architecture, and aligning solutions with business objectives. The AI/ML/Gen AI Lead will also manage cross-functional collaboration, effectively communicating with stakeholders to translate complex technical concepts into actionable insights and drive adoption of AI technologies. Must have experience both POC and with Production grade solutions Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as: Chatbots and conversational agents Intelligent document processing Code generation and copilots Content summarization, personalization, or generation Customize and fine-tune foundation models (e.g., GPT, LLaMA, Claude, Mistral) for domain-specific use cases. Drive evaluation and integration of GenAI frameworks and tooling (e.g., LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute the Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business stakeholders to identify and prioritize GenAI use cases. Lead POCs and pilots to validate ideas before full-scale implementation. Ensure robust, secure, and ethical deployment of GenAI systems, including governance and monitoring. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Supporting Azure) Deploy and operationalize models using cloud platforms, ideally Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure (e.g., vector databases, inference endpoints, GPUs) for performance and cost-efficiency. Utilize MLOps practices for model lifecycle management and reproducibility. Experience Required 8+ years of experience in AI/ML, with at least 2+ years in GenAI-specific roles. Proven experience with foundation models (e.g., GPT-4, Claude, LLaMA) and relevant toolsets. Proficiency in Python and AI/ML libraries (e.g., PyTorch, Transformers, Hugging Face). Strong understanding of prompt engineering, RAG, LLMOps, and LLM fine-tuning. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Azure AI Search). Familiarity with enterprise AI integration (APIs, plugins, cloud deployment). Preferred Qualifications Bachelors or Master’s degree in Computer Science, Machine Learning, AI, or a related field (PhD preferred).

AI Software Engineer Location : Hyderabad - Hybrid Notice Period : 0 to 30 days Looking for Senior Fullstack AI Engineer with Python, AI/ML, GenAI, LLM, and RAG combined with frontend technologies, who can build and deploy complex, end-to-end AI applications. Core Responsibilities End-to-End AI Application Development: Design, develop, and deploy full-stack applications that integrate Generative AI and Large Language Models (LLMs). This includes building both the AI-powered backend services and the user-facing interfaces. Backend & AI Engineering: Use Python as the primary language to build robust APIs (RESTful, GraphQL) that serve AI models. Implement Retrieval-Augmented Generation (RAG) systems to enhance LLM performance and ground responses in specific, private data. Frontend Development: Create intuitive and responsive user interfaces using technologies like React, Angular, or Vue.js. This ensures that the user can effectively interact with and benefit from the powerful AI models running on the backend. System Architecture & Optimization: Architect scalable and high-performance solutions. The role involves designing the overall system, from data pipelines for AI models to cloud deployment strategies on platforms like AWS, Azure, or GCP. Mentorship and Leadership: As a senior engineer, you'll be expected to mentor junior team members, conduct code reviews, and contribute to the team's technical strategy and best practices. Key Skills and Qualifications Python: Extensive experience with Python and its AI/ML libraries, such as PyTorch, TensorFlow, and Hugging Face. Generative AI & LLMs: Hands-on experience with GenAI models, prompt engineering, fine-tuning, and integrating various LLMs (e.g., GPT-4, Llama, Gemini). RAG: Practical experience in building and optimizing RAG pipelines, including working with vector databases like Pinecone or ChromaDB. Frontend: Proficiency in JavaScript/TypeScript and a modern frontend framework like React. Full Stack: Experience in building full-stack applications and understanding of microservices architecture and cloud-native development. Please refer to the Company Profile: https://www.maantic.com/

Are you obsessed with pushing the boundaries of Generative AI? Have you fine tuned LLaMA models, dived into LoRA or even full-scale fine tuning? Then this opportunity is tailor-made for you ! We are on the hunt for AI /ML Engineers/ Research Engineers /ML Developers with Strong experience in LLM Fine tuning and python to join our AI innovation team. Location : Siruseri, Chennai, Experience : 2 to 10 Years Notice Period : Immediate Joiners to 30 Days Role & responsibilities : Fine-tune LLaMA models on domain-specific data (e.g., finance, healthcare, telecom, legal, etc.) Curate, clean, and pre-process datasets for supervised and unsupervised fine-tuning. Implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as per need. Optimize model training performance using tools/libraries. Evaluate fine-tuned models using appropriate metrics. Deploy and integrate models with APIs, RAG pipelines, or inference servers. Use tools like Weights & Biases, LangSmith, or TensorBoard for training monitoring and logging. Conduct safety audits and hallucination checks post-fine-tuning. Familiarity with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.). Hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise. Knowledge of tokenizers, embeddings, and prompt templates. Experience with LLaMA (preferably LLaMA 2 / LLaMA 3) and Hugging Face ecosystem. Proficiency in Python, PyTorch, and model training workflows. what are we looking for ? Deep expertise in Fine tuning in LLama, LoRA, QLoRA & strong command of Python & ML Libraries Why join us? Work with Top tier AI minds Get access to high performance infra for model training Drive innovation with real world applications Be part of a growing AI team building next -gen tools. Nonstop learning and innovation Competitive salary + growth opportunities Ready to build the future with LLM'S? Apply now and shape the future of AI ! Tag your resume to Latha.s@excelacom.in / +91 7667620910 and GitHub with your latest fine- tuning experiments . Lets build the future together - one fine- tuned model at a time.

Job Overview: We are looking for an experienced AI Architect to lead solution design and development efforts in the areas of Agentic AI and Retrieval-Augmented Generation (RAG) . The ideal candidate will have strong experience working with large language models (LLMs), building intelligent applications using frameworks like LangChain or LlamaIndex, and designing scalable AI pipelines. Key Responsibilities: Design and implement RAG-based systems combining LLMs with vector databases and internal document sources. Build task-based AI agents (e.g., chatbots, assistants) that can perform multi-step operations and integrate with external tools or APIs. Develop and maintain prompt templates , embedding pipelines, and orchestrators using frameworks like LangChain, LlamaIndex , etc. Work with data and ML teams to connect AI applications with enterprise knowledge sources (SharePoint, Confluence, databases, etc.). Evaluate and integrate embedding models , vector databases (FAISS, Pinecone, Chroma), and LLM APIs (OpenAI, Azure OpenAI, etc.). Collaborate with cross-functional teams to identify use cases, define architecture, and deliver PoCs or MVPs. Contribute to CoE documentation, reusable components, and architecture patterns for RAG and agent-based solutions. Required Skills: 35 years of hands-on experience in Python with exposure to building AI/NLP applications. Practical experience with LLM tools like LangChain, LlamaIndex , or equivalent. Experience building RAG systems using vector stores and document loaders. Familiarity with LLM APIs such as OpenAI, Cohere, or HuggingFace models. Understanding of prompt design , embedding models (e.g., OpenAI, BGE, SentenceTransformers). Working knowledge of REST APIs , JSON , and integrating AI agents with backend systems.

The GN Song C&S Senior Manager, Lifesciences Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning Sales, Service and Marketing to accelerate business change. Practice:Strategy & Consulting Global Network Song I Areas of Work:Life science industry, Commerce & Sales, Platform Enablement viz. Veeva CRM, Salesforce Health Cloud, etc. | Level:Senior Manager | Location:Bengaluru, Gurgaon, Mumbai, Chennai, Kolkata Hyderabad | Years of Exp:12+ years Are you passionate about scaling businesses using in-depth Customer Sales and Strategy techniques? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture GN Song team. The Practice A Brief Sketch The Global Network Song functional team is aligned to the S&C- Global Network division of Accenture and works with clients across its marketing, sales and services department. As part of the team, you will provide transformation services across key offerings like Marketing Transformation, Commerce & Sales and Advanced Customer Engagement. These services help our clients become living businesses by optimizing their marketing and sales strategies and thereby optimizing their cost to serve, thus improving revenue per customer. The Life Sciences & Healthcare Senior Manager position is within the Commerce & Sales practice of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) organizations and would collaborate on innovative projects while bringing in deep industry knowledge to enhance Patient and HCP and consumer experience. You will work closely with our clients as Consulting Professionals who design, build and implement strategies that can help enhance business performance. As part of leading the project teams, you will drive the following:Consulting & Advisory service Lead a team responsible for designing, developing and implementing plans on Sales Transformation solutions across scope of sales strategy and sales operations, sales operating model design, channel strategy and design, HCP partner management, MR Portal Enablement, Consumer Engagement, Route-to-Market (RTM) Strategy, Optimization & implementation, sales force effectiveness, Territory Alignment, business process optimization, incentive compensation management including diagnostics and business case development. Work as an integral part of the client's sales / channel development organization. Work towards driving sales and revenue numbers with a structured, logical and dataoriented approach, conducting Market Opportunity Assessment. Work on diagnostics on client data and processes to understand gaps, in the current state processes to help improve client processes as part of future state recommendations Additional Engagement Opportunities Include:Market entry strategy development, Product launch strategy, Economics of Selling, Optimizing Return on Sales/ Channel Spends, Channel mix assessment and strategy, Sales channel optimization, Process Assessment & Improvisation, Sales Data Analysis, Marketing Planning, Assessment & Sales Enhancement Strategy, GenAI use cases specific to LS in sales and marketing. Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive Sales transformation RFP/ RFI response coming in from Life Science customers for business transformation or platform enablement projects Practice Development Take on leadership role:Support overall growth of practice area through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, MS Dynamics, etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Bring your best skills forward to excel at the role: Strong consulting and advisory experience in Life Sciences industry with deep industry knowledge and understanding of key trends. Deep understanding of Life Science processes, performance drivers & industry leading practices, regulatory and compliance requirements Experience in working as an advisory lead in designing next gen sales transformation solution on digital technologies like Veeva CRM and Salesforce Health Cloud, Data automation and AI tools. Adept with working knowledge of Gen AI based technologies and tools such as ChatGPT, Gemini, DallE, Midjourney, Anthropic, Amazon Bedrock, LLama etc. Capable of using GenAI within applications such as Salesforce, Adobe and MS Dynamics. Implementation experience of Gen AI will be an added advantage. Seasoned professional with significant experience working on a large-scale Business / Operational Transformation project with a significant focus on B2B/ enterprise clients. Strong program management/ people management skills Experience working with "C" level executives Can work in high-paced and complex projects and understand industry-specific sales processes, operations and functional needs Skills to manage stakeholder expectations Ability to work on business proposals from solutioning and effort estimation standpoint and to demonstrate solutions during client orals Excellent communications and presentation skills Performance and status reporting Problem solving and conflict management Ability to work effectively in a remote, virtual and global environment Qualifications Your experience counts! MBA from a premium institute A minimum of 12 15 years of progressive industry and consulting experience with minimum 8+ years of relevant experience in Life Science industry Global exposure is desirable. Working knowledge of Veeva CRM or Salesforce Health cloud and AI tools. Implementation experience is highly desirable. Experience in scoping and aid in designing platform solutions, and extensive experience in implementing it in projects. Demonstrated sustained client relations management experience at a C-suite level or operated at a senior management level in the industry role. Good To Have - Certification in Veeva CRM and/or Salesforce Health Cloud or any other relevant industry leading platform tools. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements