571 Llm Jobs - Page 23

• Experience in machine learning, data mining and analysis for model development, validation, implementation in product integration. • Experience in large-scale data processing frameworks and technologies. • Programming languages- Python or Scala.

Role: Tech Lead in AI/ML Location: Pune Type: Permanent The Role: As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, youll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance. Responsibilities: Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies Establish evaluation criteria for data quality tracking and production ML model tracking Partner with product, research, and engineering to ensure product changes integrate effectively . Required Qualifications: 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading. Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production. Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development. Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes . Previous experience working in Private Markets, Financial Services or FinTech space . Preferred Qualifications: 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship. Experience migrating data sets and workflows between legacy data platforms and services. Familiarity with stream processing and event driven architecture Comfortable moving quickly and working in a fast-paced, agile XP, lean environment. Experience in leading offshore and nearshore teams is highly valued. If you are interested, please share your updated resume to me at heena.ruchwani@gspann.com

Job Title: NLP Engineer Job Location: Chennai / Coimbatore Experience: 2+ years Job Type: Full-Time We are seeking an exceptional Senior NLP Engineer to join our cutting-edge AI/ML team. In this role, you will leverage your deep expertise in natural language processing, large language models, and retrieval-augmented generation to develop and optimize innovative NLP applications. Responsibilities: Design, develop, and deploy state-of-the-art NLP solutions utilizing LLMs and RAG architectures. Implement and optimize vector databases for efficient retrieval and augmentation of LLM-based systems. Collaborate with cross-functional teams to identify and address complex NLP challenges. Stay at the forefront of NLP research and apply latest techniques to enhance our AI/ML applications. Mentor junior engineers and contribute to the growth and knowledge sharing within the team. Requirements: Bachelor or Masters in Computer Science, NLP, ML or related field 2+ years of experience in developing NLP applications, (expertise in LLMs and RAG would be a plus) Strong understanding of transformer architectures, few-shot learning, and prompt engineering. Hands-on experience with NLP frameworks like Hugging Face, spaCy, NLTK, AllenNLP, etc. Proficiency in Python, PyTorch, TensorFlow and familiarity with C++/CUDA for optimization Experience with vector databases like Pinecone, Weaviate, Milvus for building RAG systems. Excellent problem-solving skills and ability to design efficient, scalable NLP pipelines. Strong communication skills and ability to collaborate in a fast-paced environment. Preferred Qualifications: Experience with deploying NLP models in production using AWS, GCP or Azure Knowledge of MLOps best practices and tools like MLflow, Kubeflow, AWS SageMaker If you are passionate about pushing the boundaries of NLP and developing game-changing AI applications, we would love to hear from you. Join our world-class team and help shape the future of intelligent systems.

AI Full stack Engineer: ( In Short ) AI + Backend Engineering will be 70% of the daily task - AI (LLM modeling, Data Preparation, AWS Model configuration, etc..) + Python for writing APIs Frontend Engineering will be 20% of the daily task for creating user interfaces for AI/backend output - Angular / React + HTML with CSS AWS side the candidate will be doing 10% of the daily task for managing or troubleshooting AWS infrastructure and should be able to contribute to setting up CI/CD pipelines. Knowledge of Terraform will be a plus, but if it's not there then Hurix to train the resource within a month's time. About JD: Minimum 5 years of relevant(full stack) experience in product or enterprise software development. Strong hands-on experience on the full software stack, including Frontend, Backend / API, Databases, and Infrastructure Proven technical abilities in software development, testing, monitoring, performance tuning, and deployment pipelines Strong technical communication and collaboration skills Strong knowledge of generative AI, with hands-on experience in applying LLM frameworks such as LangChain and others. Practical knowledge of Retrieval-Augmented Generation (RAG) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities. Passion for technology and commitment to staying current on AI advancements Focus on application quality and testing practices, such as unit integration, e2e testing, code coverage analysis, and automated software inspection. Strong sense of customer empathy and a commitment to delighting customers Ability to work across functional and domain boundaries to deliver software on time and with quality Technology Stack: Back-end: Python, Go, Node.js Front-end: TypeScript, Angular/React (any) AI services such as Azure AI Search, Azure OpenAI service , Amazon Bedrock , or similar technologies. Amazon Web Services (AWS): ECS, RDS , Lambda , and many other services CI/CD and Infrastructure: Docker , Terraform , Github , CircleCI, Sonarqube, NewRelic and Datadog Collaboration: JIRA, Confluence , Zoom & Slack Databases: Relational databases such as MySQL and PostgreSQL ; NoSQL databases such as DynamoDB

Roles & Responsibilities Responsible for developing new features and models as part of our core product through applied research. Understand, apply and extend state-of-the-art NLP research to better serve our customers. Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. Think creatively to identify new opportunities and contribute to high-quality publications or patents. Understand Metas AI/Llama frameworks and products and their underlying implementation. Define and execute on a strategy to drive adoption of Llama and other Metas AI/ML platform offerings Desired Qualifications and Experience At Least 3 years of professional experience. Bachelors in Computer Science or related fields from the top colleges. Experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, wav2vec, Whisper, Conversational AI, AI-Infrastructure, Fine-tuning and optimizations of PyTorch models. Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc. Experience with at least one deep learning framework such as PyTorch and/or JAX. Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers. Experience communicating and presenting to technical and business audiences

About the Role: We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries. Key Responsibilities: Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization. Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning. Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers. Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments. Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth. Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities. Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services. Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects. Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders. Required Skills and Qualifications: Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering. Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents. AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph, CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.). Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn. LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data. Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications. SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database. API Development: Experience in developing APIs using Flask or FastAPI or Django. Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices. Excellent communication, leadership, and project management skills. Strong problem-solving ability with a focus on delivering scalable, impactful solutions. Preferred Skills: Experience with Computer Vision applications. Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques. Ontology: Understanding of ontologies for knowledge representation in AI systems. Data Engineering: Experience with ETL pipelines and data engineering workflows. Familiarity with big data tools like Spark, Hadoop, or distributed computing.

Mandatory skills: .Net core with ReactJS JD: .net core lifecycle .net core web API Authentication and authorization mechanisms Serialization and deserialization (JSON, XML, binary, etc.) Entity framework and ADO.net Unit testing (regardless of the tool) Asynchronous programming (async/await) Experience applying SOLID Experience designing new systems/features from scratch and documenting them Experience working with, at least, the following Azure services: Azure storage (table, blob, queue), Key vault, Az SQL, Application insights, app services Experience designing RESTful APIs Exposure and Experience with Generative AI, Prompt engineering, NLM, LLM, etc., Design AI solutions and architectures that align with business goals. Develop and implement machine learning models and algorithms. Exposure and experience with ML.NET is preferred [OR] Prior experience in programming languages like Python and libraries/frameworks like TensorFlow, PyTorch, or scikit-learn is preferred.

Job Title: Senior Dot Net Developer for a US Based MNC Organisation Location: Pan India Location Employment Type: Permanent Work Mode - Hybrid Mode of interview - Virtual Interview ( 2 rounds ) Years of experience - 5 - 13 years Notice period - Immediate - 15 days We are hiring Senior Dot Net Developer for a US Based MNC Organization for Pan India This is a fantastic opportunity for candidates with a strong background working as Senior Dotnet Developer Key Responsibilities: Strong Hands-on development experience in web development using ReactJS, Typescript, HTML5, CSS3, JavaScript, JQuery, and Bootstrap Framework. Programming Languages & Frameworks : Strong expertise in .Net Framework, C#, MVC, and ReactJS. Database Management : Proficiency in SQL Server for database design and optimization. Strong understanding of Object-Oriented Programming (OOP). Knowledge of RESTful services and API development. Experience applying SOLID Experience designing new systems/features from scratch and documenting them Experience working with, at least, the following Azure services: Azure storage (table, blob, queue), Key vault, Az SQL, Application insights, app services Experience designing RESTful APIs Exposure and Experience with Generative AI, Prompt engineering, NLM, LLM, etc., Design AI solutions and architectures that align with business goals. Develop and implement machine learning models and algorithms. Exposure and experience with ML.NET is preferred Preferred Skills : Familiarity with front-end design tools like CSS3, HTML5 and JavaScript frameworks. Experience in performance optimization and debugging techniques. Knowledge of Agile development methodologies. How to Apply: If you have the experience and skills required for this role, send your profiles to amish.solanki@delta-ssi.net Please fill in the details mentioned below Total Work Experience: Relevant Work Experience: Current CTC: Expected CTC: Current Location : Notice period ( Negotiable to how many days ) : If Serving /Served Notice period ( Last working Day ) : Current Company : Current payroll Organization : Alternate No : Date of Birth : Reason for Job Change :

We're seeking an experienced AI Engineer to design, develop, and implement intelligent agents that will enhance our video intelligence capabilities. The ideal candidate will have hands-on experience with both closed and open-source LLMs and production-grade agent implementation. Technical Requirements 2+ years of experience working with LLMs (both closed models like GPT-4, Claude, and open-source models like Llama, Mistral) 1+ year of production-grade agent implementation using frameworks such as LangChain, CrewAI, n8n, or similar 3+ years of software development experience Strong Python programming skills Experience with orchestration of multiple AI services Knowledge of vector databases and embeddings Familiarity with prompt engineering and LLM fine-tuning Key Responsibilities Design and implement autonomous AI agents for data processing, analysis, and insight generation Develop production-ready agent workflows for social media and video content analysis Optimize prompt strategies and agent architectures for specific business use cases Integrate agents with our existing video intelligence platform Collaborate with data scientists and backend engineers to enhance agent capabilities Evaluate and implement new LLM technologies as they emerge Document agent architectures and implementation strategies Required Skills Strong problem-solving abilities and logical thinking Experience deploying AI solutions to production environments Knowledge of RAG (Retrieval Augmented Generation) techniques Understanding of token optimization and cost management for LLMs Ability to evaluate and compare different agent frameworks Good communication skills for cross-team collaboration Experience with monitoring and debugging AI systems Preferred Experience Experience with video content analysis Knowledge of social media data structures and APIs Familiarity with consumer insights or market research applications Background in FMCG/CPG brand analytics Experience with AWS services for AI/ML deployment

About the Role: We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries. Key Responsibilities: Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization. Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning. Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers. Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments. Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth. Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities. Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services. Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects. Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders. Required Skills and Qualifications: Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering. Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents. AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph,CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.). Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn. LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data. Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications. SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database. API Development: Experience in developing APIs using Flask or FastAPI or Django. Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices. Excellent communication, leadership, and project management skills. Strong problem-solving ability with a focus on delivering scalable, impactful solutions. Preferred Skills: Experience with Computer Vision applications. Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques. Ontology: Understanding of ontologies for knowledge representation in AI systems. Data Engineering: Experience with ETL pipelines and data engineering workflows. Familiarity with big data tools like Spark, Hadoop, or distributed computing.

About the Role: We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries. Key Responsibilities: Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization. Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning. Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers. Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments. Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth. Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities. Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services. Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects. Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders. Required Skills and Qualifications: Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering. Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents. AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph,CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.). Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn. LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data. Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications. SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database. API Development: Experience in developing APIs using Flask or FastAPI or Django. Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices. Excellent communication, leadership, and project management skills. Strong problem-solving ability with a focus on delivering scalable, impactful solutions. Preferred Skills: Experience with Computer Vision applications. Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques. Ontology: Understanding of ontologies for knowledge representation in AI systems. Data Engineering: Experience with ETL pipelines and data engineering workflows. Familiarity with big data tools like Spark, Hadoop, or distributed computing.

Lead a Senior Position / Principal / Dean along with responsibilities of teaching a requisite number of classes, providing guidance and supervision to graduate students, participate in meetings, and providing academic support to other faculty.

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools Role & responsibilities: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAIs ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Preferred candidate profile: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Interested candidates can share their profiles to archana.y@orioininc.com Thanks & Regards, Archana Yesodharan Deputy Manager Talent Acquisition __________________________________________ Orion Innovation

We are looking for a Chatbot Engineer who would be expected to take functional ownership of modules in our microservice architecture. Your job would involve building modules that allow users to achieve pre-defined goals through a chat interface. Building these modules involves 3 distinct steps, integrating with external APIs, building conversational pipelines & integrating the functionality into our architecture. You would be expected to achieve this through a combination of prompt engineering, fine tuning existing LLMs, developing custom ML models (where appropriate) and connecting them together in a processor pipeline architecture. Requirements: Demonstrable experience developing high quality code using OOPs concepts Experience prompt engineering & utilizing LLMs, mainly OpenAIs APIs Familiarity with pipeline processor architecture or similar chatbot architecture concepts to build inference pipelines Bachelors/ Masters degree in Computer Science, Computer Engineering, Data Science, AI/ML etc. Min 1 years of relevant full time work experience as a developer or data scientist. Strong understanding of data structures & algorithms and can optimise for space/time. Has good understanding of databases, backend services, front end services, microservices architecture and distributed systems. Shows bias for action, comfortable navigating ambiguity. Compensation: 15 days paid vacation. Salary is competitive and varies substantially based on the skillset of an individual candidate. EEPL offers an ESOP program to select employees.

JD Machine Learning & Deep Learning Expertise: Strong understanding of machine learning frameworks (TensorFlow, PyTorch). Experience with deep learning models such as CNNs, RNNs, Transformers, and GANs. Specialization: Expertise in either Large Language Models (LLMs) or Computer Vision. J ogramming Proficiency: Strong hands-on experience with Python and libraries like NumPy, Pandas, OpenCV, Hugging Face, and Scikit-learn.J

Machine Learning & AI Techniques Mathematical, Statistical Knowledge Develop and evaluate prompts for AI agents, chatbots, and other capabilities. NLP, python, LLM, Github Work with application and QA teams to implement monitoring CI/CD

We seek a Data Scientist at Senior level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. Location: Pune\ Indore\ Ahmedabad \ Hyderabad \ Bangalore Experience Range: 4-8 Years What will help you succeed: Experience with Python is must have Well versed with ML, Natural Language Processing techniques Experience in GenAI (LLM, Langchain, Vector DB) Exp in any of the Cloud (AWS/Azure/GCP)

As a Conversational AI Engineer, you will design and develop cutting-edge AI solutions, working with LLMs, RAG, multi-modal AI, and knowledge-driven systems to create intelligent conversational experiences.

* Noida, Sector-62 (Work from home); must have valid India work visa with basic compliance documents(PAN/Aadhaar) * Master’s in any domain with C1 level of proficiency in English. * Familiarity with machine learning models. Urgent Connect -7976457434

Job Title: Director, Analytics Experience: 10+ Yrs Job Location: Remote, India Company Overview: At Ensemble Health Partners, we're at the forefront of innovation, leveraging cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. Our commitment to excellence is unwavering, and we're seeking a seasoned Principal Azure Cloud Architect to join our dynamic team. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued and your contributions will make a difference. Position Overview: The AI solutions architect is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modeling. The successful candidate will work closely with business owners to understand their data requirements and product specifications to help them make data-related decisions and product design choices. The role will also require close work with data scientists, software engineers and developers to deliver solutions. Another crucial part will be defining the strategic priorities for AI and GenAI development across the company and educating both technical and business teams about the latest developments in AI. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills. You should have expertise in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands-on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Roles & Responsibilities Design, develop, and oversee the implementation of end-to-end AI solutions, including LLM-based and general machine learning use cases. Define AI solution objectives and ensure alignment with business outcomes Develop and ensure Interoperability between client systems, internal teams and other third-party vendors. Educate team members and bring both technical staff and business stakeholders up to speed with recent AI trends. Present key findings, recommend enhancements, and work with business owners to enhance product development. Evaluate predictive models as well as LLM-based technologies at scale. Act as primary respondent to questions regarding AI and Machine Learning applications. Build, enhance and maintain the data models, interfaces and application integration required to support growing and changing business needs. Collaborate with internal and external clients to respond to growing needs of the business, troubleshoot issues, and expand capabilities of the product. Meaningfully contribute to the strategic direction of AI initiatives within the company Required Skills Overall 12+ Years out of which 5+ years' experience leading a data science/machine learning team with clear deployment experience. PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. 5+ years experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. Proven ability to research and execute solutions based on novel algorithms and machine learning tooling. Ability to design, implement, test and deploy Machine Learning models. Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. Proven ability to read research papers, critique and execute based on them. Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. Ability to work both independently and in a team-based, fast-paced environment. Excellent communication skills, both written and verbal. Why Join US? We adapt emerging technologies to practical uses to deliver concrete solutions that bring maximum impact to providers bottom line. We currently have 10 Technology Patents in our name. We offer you a great organization to work for, where you will get to do best work of your career and grow with the team that is shaping the future of Revenue Cycle Management. We have our strong focus on Learning and development. We have the best Industry standard professional development policies to support the learning goals of our associates. We have flexible/ remote working/ working from home options Perks Health Benefits and Insurance Coverage for family and parents. Accidental Insurance for the associate. Compliant with all Labor Laws- Maternity benefits, Paternity Leaves. Company Swags- Welcome Packages, Work Anniversary Kits Exclusive Referral Policy Professional Development Program and Reimbursements. Remote work flexibility to work from home. Join Our Team: If you're passionate about cloud technology and eager to make a meaningful impact in a dynamic and collaborative environment, we want to hear from you! Join us at Ensemble Health Partners and be part of a team that's shaping the future of Revenue Cycle Management. Apply now and embark on a rewarding journey of innovation and growth.

Gen AI Prompt Lead Designer with Application Integration We are seeking a passionate GenAI Prompt Lead Designer or Architect with a strong engineering background. The ideal candidate thrives in a self-managed team, embraces challenges, and takes an active role in building automated solutions across multiple AI platforms. Responsibilities : Prompt Development : Design, test, and refine prompts to optimize large language model (LLM) performance (e.g., GPT-4, BERT). Tailor prompts for specific applications like customer support, content generation, or virtual assistants. AI Integration & Automation: Integrate AI services (Azure, AWS, Google Cloud, OpenAI) into existing systems to streamline workflows and automate processes. Research & Innovation: Stay informed on the latest advancements in NLP and LLMs. Experiment with new methodologies, share insights, and propose innovative approaches to enhance AI capabilities. Use Case Development: Work with stakeholders to develop prompts and AI models that meet business goals and user needs. Lead AI Initiatives: Architect and develop large-scale AI models for natural language understanding, text generation, and creative content generation. Process Automation & Collaboration: Define automation needs, troubleshoot issues, and implement intelligent automation using RPA tools (UiPath, Automation Anywhere). Requirements : Bachelors or Masters in Computer Science, Computational Linguistics, Data Science, or a related field. 3+ years of experience in NLP, machine learning, or AI-related roles. Overall 12+ years of experience. Experience with large language models (e.g., GPT-3, GPT-4, BERT) and prompt engineering. Experience in API integration and application development Familiarity with cloud platforms (Azure, AWS, Google Cloud) and machine learning frameworks (TensorFlow, PyTorch). Familiarity with RPA tools (UiPath, Automation Anywhere) is a plus. Strong problem-solving and analytical skills, with the ability to work collaboratively in cross-functional teams.