87 Llama Jobs - Page 4

We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA) Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure) Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques Ensure ethical AI practices and mentor junior engineers Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK) Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services) Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement Contributions to open-source NLP projects or a strong publication record What are the next steps? Register on our Soul AI website Our team will review your profile Clear all the screening rounds: Clear the assessments once you are shortlisted Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project Skip the Noise Focus on Opportunities Built for You! Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India

Job Summary: As a Technical Lead for Agentic AI Workflow Development, you will be responsible for designing, developing, and implementing advanced AI-driven workflows. You will lead a team of developers and collaborate with cross-functional teams to deliver high-quality solutions that meet business needs. Job Description: - Lead the end-to-end development of Agentic AI workflows, including Autogen, Llama, and Lang graph integration. - Design and implement solutions using large language models (LLMs) such as ChatGPT, Gemini, and Llama. - Develop and maintain scalable architectures on hyperscaler platforms (Azure, AWS, Google Cloud). - Utilize Python for backend development and automation tasks. - Ensure effective database management with a strong understanding of both SQL and NoSQL databases. - Troubleshoot and resolve technical issues in a timely manner. - Oversee the orchestration of jobs, including queuing and load balancing for optimal performance. - Collaborate with stakeholders to identify and implement real-world use cases, focusing on document-related solutions and agent interactions. - Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Profile Description: - Bachelors degree in computer science, Engineering, or a related field; Masters degree preferred. - Proven experience as a Technical Lead or similar role in AI/ML development. - Strong proficiency in Python and experience with relevant libraries and frameworks. - In-depth knowledge of large language models (LLMs) and their applications. - Experience with hyperscaler architectures (Azure, AWS, Google Cloud). - Solid understanding of SQL and NoSQL databases, with hands-on experience in database design and management. - Excellent troubleshooting skills and the ability to solve complex technical problems. - Demonstrated experience in developing and deploying at least three real-world use cases involving document processing, auto agents, and orchestration. - Strong communication and leadership skills, with the ability to work collaboratively in a team environment. - Familiarity with AI frameworks and tools related to workflow automation. - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of CI/CD practices and tools.

In this role, you will drive the end-to-end development and deployment of AI/ML solutions on Cloud, applying your expertise in machine learning, MLOps, and GenAI. You will mentor junior engineers by establishing best practices and guiding solution design. Additionally, you will design, implement, and optimize advanced machine learning algorithms using robust data science techniques, while driving the scaling and adoption of AI/ML technologies to meet strategic business objectives. If you have a passion for AI, cloud-based ML solutions, and driving scalable innovation, this role is for you. You have: Bachelors or masters degree in computer science, Engineering, or related field with 8+ years of experience in machine learning, data science, and statistics. Expertise in ML algorithms with strong Python and SQL skills, including Jupyter notebooks. Proven knowledge of GenAI and Agentic AI technologies. Hands-on experience with MLOps tools like Kubeflow, Vertex AI, and GenAI/LLMops. Grip on, Kubernetes, Docker, and microservices architecture. It would be nice if you also had: Experience with OpenAI, Llama, and Lang Chain frameworks. Practical experience in Pytest and Rust programming. Prior experience developing AI applications in the telecom domain. Google Cloud Professional Machine Learning Engineer certification. Architect and develop AI/ML use cases on Cloud, driving projects from discovery and proof of concept through industrialization, deployment, and ongoing maintenance. Mentor and guide junior engineers in defining robust methodologies and evaluating the most effective technical solutions. Propose, implement, test, and select optimal machine learning algorithms by leveraging advanced statistical tools and data science techniques to uncover insights and generate accurate predictions. Drive the rapid scaling and integration of AI and ML technologies to enhance system performance and support strategic business objectives.

What Youll Do We are seeking a dynamic Account Executive - Artificial Intelligence (AI) to join our strong and strategic sales team. As an AI Account Executive, you will drive the adoption of our AI solutions across various industries. You will identify potential clients across Australia and New Zealand, understand their specific needs, and provide tailored AI solutions that align to their business operations. This role requires an understanding of AI technologies, tools, frameworks, and a strong ability to define AI use-cases as part of a transformation journey for our customers. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping the extensive Cisco customer base transform their business using AI technology built on Cisco data centre and cloud infrastructure. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage through real world use cases. Who You Are You will create and execute a business development strategy to uncover opportunity for Ciscos Cloud and AI infrastructure products and services. You will identify and prioritise target accounts and develop relationships with key decision-makers and strategic business partners and technology alliances. You will engage deeply with clients to understand their business challenges and conduct detailed analysis to find opportunities to insert meaningful AI solutions that will be a key enabler for their AI and business transformation journey. Finally, you will be seen as the subject-matter expert for these solutions and will have to be able to run a full sales cycle and align with your connected teams on key deals to meet and exceed assigned sales targets. Minimum Skills and Qualifications 8+ years of technology-related sales experience with a focus on business development and new technology incubation. Foundational knowledge around Cloud and Data Centre infrastructure including areas such as networking, storage, and compute/AI accelerators Excellent presentation skills - ability to value-sell and deliver engaging workshops/seminars to IT and business audiences on AI and/or infrastructure topics Proven track record in managing and winning major strategic opportunities in public sector and/or large enterprise accounts Experience in multi-level selling, comfortable influencing CxO, IT Managers, Purchasing, etc Demonstrated leadership skills working in a sophisticated matrix organization Preferred Skills and Qualifications Bachelors degree or equivalent experience in Business, Computer Science, Engineering, or a related field; Advanced degree in business or AI/data science is a plus. Understanding of AI models, tools, frameworks including but not limited to GPT, Llama, TensorFlow, PyTorch, Jupyter, NVAIE, etc. Familiarity with containerisation (Kubernetes etc) and methodology around training and fine-tuning AI models Experience building business cases and advisory workshops around AI technology, data preparation, and large scale accelerated computing and data centre networking. Track record of growing revenue for new innovative technology-based solutions.

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