15 Llama Index Jobs

Job Summary We are seeking a highly skilled and passionate GenAI & Data Science Engineer with 3-5 years of experience in Python development, Generative AI, and Data Science. The ideal candidate will have a strong background in AI agent workflows, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) models. You will play a key role in designing, developing, and deploying cutting-edge AI solutions using frameworks such as Lang Chain, Llama Index, and Hugging Face. This role offers the opportunity to work on transformative AI-driven solutions, leveraging state-of-the-art tools and frameworks to create impactful solutions in real-world applications. Key Responsibilities Design, develop, and deploy AI solutions with a focus on Generative AI and Data Science. Fine-tune Large Language Models (LLM) and implement Retrieval-Augmented Generation (RAG) models. Collaborate with cross-functional teams to integrate AI models into business workflows. Utilize frameworks such as Lang Chain, Llama Index, and Hugging Face to build scalable AI solutions. Participate in end-to-end AI model development, including data preprocessing, model selection, training, evaluation, and deployment. Continuously monitor and optimize the performance of AI models to ensure they meet business requirements. Work with stakeholders to understand AI requirements and contribute to solution design and architecture. Stay up to date with the latest advancements in AI technologies and industry trends. Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. 3-5 years of professional experience in Python development, AI, and Data Science. Proven experience with Generative AI, including fine-tuning LLMs and working with RAG models. Hands-on experience with frameworks like Lang Chain, Llama Index, and Hugging Face. Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP). Experience in AI model deployment and scaling in production environments. Technical Skills Programming: Python, including libraries like TensorFlow, PyTorch, Pandas, NumPy, etc. AI/ML Frameworks: Lang Chain, Llama Index, Hugging Face, etc. Machine Learning Algorithms: Supervised and Unsupervised Learning, NLP, Reinforcement Learning. Data Engineering: Data preprocessing, data wrangling, ETL processes. Databricks experience. Cloud Platforms: AWS, GCP, Azure (experience with AI tools on cloud platforms). Version Control: Git, GitHub, GitLab. Familiarity with containerization tools like Docker and Kubernetes. Soft Skills Strong problem-solving skills and analytical thinking. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Adaptability to evolving technologies and requirements. Strong attention to detail and high quality of work. Time management and ability to meet deadlines. Work Experience 3-5 years of experience working in AI, Data Science, or a related field. Practical experience in working with Generative AI, LLM fine-tuning, and RAG models. Experience with deployment of AI models in cloud environments. Proven track record delivering AI-driven solutions to solve real business problems. Good to Have Experience with other AI tools and frameworks like OpenAI GPT, DeepPavlov, or similar. Exposure to data integration and API development. Knowledge of advanced topics in NLP, such as transformers and attention mechanisms. Experience with building AI-powered applications or chatbots. Compensation & Benefits Salary: Competitive base salary based on experience and skills. Bonus: Annual performance-based bonus. Benefits: Health insurance, paid time off, work-from-home options, and retirement benefits. Learning & Development: Access to AI and Data Science training, conferences, and certifications. Key Performance Indicators (KPIs) & Key Result Areas (KRAs) KPIs Timely delivery of AI projects and solutions. Quality and accuracy of fine-tuned AI models. Successful integration of AI solutions into business workflows. Continuous improvement in AI model performance (accuracy, speed, scalability). Stakeholder satisfaction and feedback on AI-driven solutions. Contribution to knowledge sharing and team collaboration. KRAs AI model development, fine-tuning, and deployment. End-to-end ownership of AI solution delivery. Collaboration with cross-functional teams to define and implement business requirements. Optimization and monitoring of AI solutions in production environments. Contact: [HIDDEN TEXT] Show more Show less

The ideal candidate for this role has successfully developed data and analytics solutions, with a strong understanding of best practices in data modeling, data engineering, and AI products. To thrive in this position, you should enjoy working in a highly collaborative, cross-functional team environment. This role offers promising growth opportunities in both technology and management tracks. If you are an experienced Python engineer who excels at solving complex problems, is passionate about technology and coding, and has a knack for building and leading high-performing teams, then this could be the perfect opportunity for you! Key responsibilities include: - Demonstrating 4-10 years of proven experience and proficiency with Python - Possessing expertise in Python and associated libraries, as well as RESTful API development - Developing and designing scalable and efficient GenAI solutions tailored to specific requirements, ensuring robustness, security, and performance - Working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, and MLOps/GenAIOps - Familiarity with RAG technologies and LLM frameworks, including LLM model registries, APIs, embedding models, and vector databases - Knowledge of cloud platforms (such as AWS), databases, system design, building data pipelines, Git, CI/CD, and Linux is a plus - Experience or hands-on exposure to AI and ML concepts, engineering techniques to optimize GenAI performance, and evaluation and selection of appropriate models and frameworks - Designing and developing components and systems from the ground up using engineering best practices and design patterns - Continuous learning and adaptation to evolving technologies - Strong understanding of object-oriented design concepts, software development processes, and methods - Leading teams, collaborating with business partners or customers, and guiding project direction - Exceptional organizational skills, with the ability to prioritize tasks and keep the team focused on critical features - Leadership qualities and the ability to lead technical and design working sessions - Proven ability to work independently with minimal supervision Verisk, a leading data analytics and technology partner to the global insurance industry for over 50 years, values inclusivity, diversity, and workplace culture. As an equal opportunity employer, Verisk offers a unique and rewarding career opportunity with work flexibility, support, coaching, and training for personal and professional growth. Join a team of 7,000 individuals who relentlessly pursue innovation and help translate big data into impactful ideas for a better future. Verisk Businesses: - Underwriting Solutions: Provides underwriting and rating solutions for assessing and pricing risk - Claims Solutions: Supports end-to-end claims handling with analytic and automation tools - Property Estimating Solutions: Offers property estimation software for efficient workflows - Extreme Event Solutions: Provides risk modeling solutions for resilience to extreme events - Specialty Business Solutions: Delivers an integrated suite of software for insurance and reinsurance business management - Marketing Solutions: Delivers data and insights for improved consumer engagement - Life Insurance Solutions: Offers data insight-driven capabilities for life and annuities policies - Verisk Maplecroft: Provides intelligence on sustainability, resilience, and ESG for societal strength Verisk Analytics is committed to creating a diverse and inclusive workplace. To explore career opportunities at Verisk, visit [Verisk Careers](https://www.verisk.com/company/careers/).,

DevsTree IT Services Pvt Ltd is a rapidly growing software solutions company located in Ahmedabad, dedicated to delivering impactful digital experiences and innovative automation solutions for clients globally. Our mission is centered around creating intelligent, scalable, and meaningful solutions by combining software engineering with cutting-edge technologies such as AI/ML, Gen AI, and advanced analytics. As an AI Tech Lead at DevsTree, you will play a crucial role in addressing real-world challenges through the application of AI/ML, Computer Vision, NLP, LLMs, Agentic Workflows, and low-code automation tools like n8n. Your responsibilities will include spearheading AI solution development across diverse business domains, designing state-of-the-art Gen AI applications, guiding a team of engineers, and actively contributing to the codebase. Key Responsibilities: - Architect, design, and implement AI-driven solutions and intelligent workflows utilizing ML, DL, and Gen AI tools. - Lead the complete development lifecycle of Machine Learning/Deep Learning models, from data collection and feature engineering to model deployment and monitoring. - Develop and optimize Large Language Models (LLMs) and integrate them with external business systems through APIs. - Create solutions leveraging Computer Vision, encompassing object detection, image classification, OCR, face recognition, among others. - Implement and scale NLP models for tasks like document understanding, semantic search, summarization, chatbots, and conversational AI. - Design and coordinate Agentic workflows using autonomous agents and low-code tools like n8n for streamlining multi-step business processes. - Keep abreast of the latest trends in Gen AI, multimodal models, and tools like Lang Chain, Llama Index, Haystack, etc. - Utilize ML flow for tracking experiments, versioning models, and ensuring reproducible machine learning pipelines. - Collaborate with cross-functional teams, including Product Managers, Data Engineers, and UI/UX Designers, to define scalable AI-driven features. - Conduct technical reviews, maintain code quality, and provide guidance to junior AI engineers. Required Skills & Qualifications: - Minimum of 7 years of experience in AI/ML, with at least 3+ years in a tech lead or senior engineering position. - Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, scikit-learn, OpenCV, Hugging Face, SpaCy, etc. - Hands-on experience in developing and deploying models in Computer Vision and NLP domains. - In-depth understanding of LLMs (e.g., GPT, LLa MA, Mistral, Claude) and prompt engineering. - Experience with tools like Lang Chain, Llama Index, Open AI API, Anthropic, or custom model fine-tuning. - Familiarity with n8n for automating data pipelines, AI agent orchestration, or external integrations. - Experience in building autonomous agents or integrating with agentic frameworks like Auto GPT, Baby AGI, or Crew AI is advantageous. - Proficient with MLflow for experiment tracking and model lifecycle management. - Knowledge of cloud platforms (AWS/GCP/Azure), containerization (Docker), and model deployment tools (Fast API, Flask, Streamlit, etc. - Excellent communication and interpersonal skills, with the ability to convey complex AI solutions to technical and non-technical stakeholders. Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields. - Exposure to tools like Kubeflow, Airflow, or Vertex AI is a plus. - Experience in developing AI-powered mobile or web applications. - Understanding of data privacy, model ethics, and explainability in AI systems. This job description is sourced from hirist.tech.,

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond Salaries and provide guaranteed benefits that speak about Swaas value and culture. Our employees get common benefits and also performance-based individual benefits Performance based benefits We promote a culture of equity Accept the challenge, deliver the results and get rewarded Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding Upskilling We believe in fostering a culture of Learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications Junior AI/ML Developer (Entry-Level) (Experience: 0-2 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, PostgreSQL Responsibilities: Assist in developing AI-driven solutions using LLMs (ChatGPT, Perplexity.ai) and RAG (Retrieval-Augmented Generation). Work on intent extraction and chatbot development, integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/Node.js scripts for the applications. Debug and refine LLM-powered chatbots. Requirements: Strong programming skills in Python (FastAPI, Flask) or Node.js. Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain). Familiarity with RESTful APIs and Graph Databases (Neo4j). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Bonus: Knowledge of UI frameworks (React, Next.js). Good to have - Pinecone or equivalent vector databases.,

We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always seeking creative ways to grow and learn, individuals who aspire to make a real impact, both now and in the future. If this resonates with you, then you would be a valuable addition to our dynamic international team. As a Graduate Trainee Engineer, you will have the opportunity to contribute significantly by: - Designing, developing, and optimizing NLP-driven AI solutions using cutting-edge models and techniques such as NER, embeddings, and summarization. - Building and operationalizing RAG pipelines and agentic workflows to facilitate intelligent, context-aware applications. - Fine-tuning, prompt-engineering, and deploying LLMs (such as OpenAI, Anthropic, Falcon, LLaMA, etc.) for specific domain use cases. - Collaborating with data scientists, backend developers, and cloud architects to construct scalable AI-first systems. - Evaluating and integrating third-party models/APIs and open-source libraries for generative use cases. - Continuously monitoring and enhancing model performance, latency, and accuracy in production environments. - Implementing observability, performance monitoring, and explainability features in deployed models. - Ensuring that solutions meet enterprise-level criteria for reliability, traceability, and maintainability. To excel in this role, you should possess: - A Master's or Bachelor's degree in Computer Science, Machine Learning, AI, or a related field. - Exposure to AI/ML, with expertise in NLP and Generative AI. - A solid understanding of LLM architectures, fine-tuning methods (such as LoRA, PEFT), embeddings, and vector search. - Previous experience in designing and deploying RAG pipelines and collaborating with multi-step agent architectures. - Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc. - Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs). - Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry. - Hands-on experience in integrating LLM-based agents in production settings. - An understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues). - Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems. - Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. - Domain knowledge in Electrification, Energy, or Industrial AI would be advantageous. Join us in Bangalore and be part of a team that is shaping the future of entire cities, countries, and beyond. At Siemens, we are a diverse community of over 312,000 minds working together to build a better tomorrow. We value equality and encourage applications from individuals who reflect the diversity of the communities we serve. Our employment decisions are based on qualifications, merit, and business requirements. Bring your curiosity and creativity to Siemens and be a part of shaping tomorrow with us. Explore more about Siemens careers at www.siemens.com/careers and discover the digital world of Siemens at www.siemens.com/careers/digitalminds.,

Data Scientist Role Overview: We are seeking highly skilled and Data Scientists to join our team. The ideal candidates will be responsible for developing and implementing machine learning (ML) and generative AI (Gen AI) applications. This role requires a strong background in data science, with a focus on ML modeling techniques and exploratory data analysis (EDA). Key Responsibilities: Develop and deploy ML and Gen AI applications using LangChain, Llama Index, and OpenAI. Conduct comprehensive EDA to uncover insights and inform ML model development. Collaborate with cross-functional teams to integrate AI solutions into business processes. Continuously monitor and improve the performance of AI models. Stay updated with the latest advancements in ML and Gen AI technologies. Mandatory Skillsets: Highly proficient in ML and Gen AI application development with LangChain, Llama Index, OpenAI Strong industry exposure in Data Science with Machine Learning modelling techniques and Exploratory Data Analysis Atleast 5+ years of experience in data science with 2 years of experience in Gen AI Good-to-Have Skillsets: Experience with other AI frameworks and tools. Strong programming skills in Python or R. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond Salaries and provide guaranteed benefits that speak about Swaas value and culture. Our employees get common benefits and also performance-based individual benefits Performance-based benefits We promote a culture of equity. Accept the challenge, deliver the results, and get rewarded. Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs. Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package. Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding. Upskilling We believe in fostering a culture of Learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications. Junior AI/ML Developer (Entry-Level) (Experience: 0-2 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, PostgreSQL Responsibilities: - Assist in developing AI-driven solutions using LLMs (ChatGPT, Perplexity.ai) and RAG (Retrieval-Augmented Generation). - Work on intent extraction and chatbot development, integrating APIs like OpenAI or LLama. - Support the design and testing of AI-enhanced workflows. - Implement database interactions (MySQL or PostgreSQL for structured data). - Write and optimize Python/Node.js scripts for the applications. - Debug and refine LLM-powered chatbots. Requirements: - Strong programming skills in Python (FastAPI, Flask) or Node.js. - Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain). - Familiarity with RESTful APIs and Graph Databases (Neo4j). - Basic understanding of cloud platforms (AWS, Azure, GCP). - Passion for AI, NLP, and chatbot development. - Bonus: Knowledge of UI frameworks (React, Next.js). - Good to have - Pinecone or equivalent vector databases.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment. Responsibilities: Architecture Design: Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development And Deployment: Fine-tune pre-trained generative models for domain-specific use cases. Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation And Strategy: Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Good exposure to Agentic Design patterns Collaboration And Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Mentor and guide team members on AI/ML best practices and architectural decisions. Should be able to lead a team of data scientists, GenAI engineers and Software Developers Performance Optimization: Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical And Responsible AI: Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory Skill Set: Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models like Llama 3.2, Phi etc. Proven track record with event-driven architectures and real-time data processing systems. Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. Knowledge of containerization technologies such as Kubernetes and Docker. Comprehensive understanding of data lakes and strategies for data management. Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. Proficiency in cloud computing platforms such as Azure or AWS. Exceptional leadership, problem-solving, and analytical abilities. Superior communication and collaboration skills, with experience managing high-performing teams. Ability to operate effectively in a dynamic, fast-paced environment. Preferred Skill Set: Experience with additional technologies such as Datadog, and Splunk. Programming languages like C#, R, Scala Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Year Of Experience Required: 9-12 years Education Qualification BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Coaching and Feedback, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting + 29 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

You are seeking a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. Your primary responsibility will be to lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Your proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential. Your role involves partnering with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. You will maintain a broad understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. It is crucial to stay current with statistical/mathematical/informatics modeling methodology and justify the methods selected. You will also lead the team independently to implement & deliver complex project assignments and provide strategic leadership to build new capabilities within the group. Additionally, you will contribute to whitepapers and articles at the BU and organization level, develop and deliver formal presentations to senior clients, and possess strong interpersonal communication, teamwork, leadership, and self-management skills. You should bring an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients. Eligibility criteria include a minimum of 4-10 years of experience in data analytics and 2-4 years of relevant experience in Healthcare/Lifesciences/Pharmaceutical domain. Technical skills required for this role include proficiency in Python or R for statistical and machine learning applications, expertise in various techniques like Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. You should be able to build & train neural network architectures and have hands-on experience in NLP & NLG. Knowledge in LLMs and Cloud Platforms like Azure, AWS, GCP is essential. Exposure to big data technologies is a plus. Basic qualifications include a B.Tech/Masters in a quantitative discipline such as Applied Mathematics, Computer Science, Bioinformatics, Statistics, Ops Research, or Econometrics. Your role will involve making the impossible possible in the quest to make life better, bringing Analytics to life, and continuously learning to maximize your impact in the field.,

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond salaries and provide guaranteed benefits that speak about Swaas" value and culture. Our employees receive common benefits and performance-based individual benefits. Performance based benefits We promote a culture of equity. Accept the challenge, deliver the results, and get rewarded. Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs. Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package. Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding. Upskilling We believe in fostering a culture of learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications. Senior AI/ML Developer (Lead Role) (Experience: 3 - 5 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, Docker, Kubernetes Responsibilities: Lead the integration of Perplexity.ai and ChatGPT APIs for real-time chatbot interactions. Design and implement intent extraction and NLP models for conversational AI. Design and implement RAG (Retrieval-Augmented Generation) pipelines for context-aware applications. Guide junior developers and ensure best practices in LLM application development. Set up Python API security, and performance monitoring. Requirements: Deep knowledge of NLP, LLMs (ChatGPT, GPT-4, Perplexity.ai, LangChain). Experience with Graph Databases (Neo4j) and RAG techniques. Familiarity with vector databases (Pinecone, Weaviate, FAISS). Strong expertise in Python (FastAPI, Flask) and/or Node.js (Express, NestJS). Good to have - experience with containerization (Docker, Kubernetes). Excellent problem-solving skills and experience leading a small AI/ML team.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. The team utilizes advanced analytics techniques to help clients optimize their operations and achieve strategic goals. As a Data Analyst at PwC, your role will involve utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities will include data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. With a minimum of 12 years of hands-on experience, you will be responsible for designing and implementing scalable, secure, and high-performance architectures for Generative AI applications. This involves integrating Generative AI models into existing platforms, fine-tuning pre-trained generative models for domain-specific use cases, and developing strategies for data collection, sanitization, and preparation. You will also be evaluating, selecting, and deploying appropriate Generative AI frameworks such as PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, and Agentflow. Staying abreast of the latest advancements in Generative AI and recommending innovative applications to solve complex business problems is crucial. You will define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Collaboration with cross-functional teams, mentoring team members on AI/ML best practices, and making architectural decisions are essential aspects of the role. Monitoring the performance of deployed AI models and systems, optimizing computational costs, and ensuring compliance with ethical AI practices and data privacy regulations are key responsibilities. Safeguards must be implemented to mitigate bias, misuse, and unintended consequences of Generative AI. Required skills for this role include advanced programming skills in Python, proficiency in data processing frameworks like Apache Spark, knowledge of LLMs foundational models, experience with event-driven architectures, familiarity with Azure DevOps and other LLMOps tools, expertise in Azure OpenAI Service and vector DBs, containerization technologies like Kubernetes and Docker, comprehension of data lakes and data management strategies, proficiency in cloud computing platforms like Azure or AWS, exceptional leadership, problem-solving, and analytical abilities, superior communication and collaboration skills, and the ability to operate effectively in a dynamic environment. Nice-to-have skills include experience with technologies like Datadog and Splunk, possession of relevant solution architecture certificates, and continuous professional development in data engineering and GenAI. A professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA is required for this role.,

Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 3+ years of experience 3 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons