1047 Llm Jobs - Page 28

Management Level: Ind & Func AI Decision Science Analyst/Consultant Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge: CPG, Retail Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions. Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2-8+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture (do not remove the hyperlink)

Should have 2+ years of professional backend building experience Should have experience of working in Java/C++/Go with experience in Multithreading, object-oriented design patterns, microservices architecture Experience developing cloud architecture on leading cloud providers (Azure AWS/ GCP) is a must Prior work with LLM/ML applications would be a bonus.

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 7+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

AI Engineer About the Role We are looking for an AI Engineer with the ability to transform proven AI and GenAI concepts and prototypes developed by data scientists into scalable, and production-grade AI applications. This position sits at the critical intersection of software development and data science, requiring both technical depth in AI/ML technologies and strong software engineering fundamentals. Key Responsibilities Transform data science prototypes and concepts into production-ready applications with a focus on scalability, stability, and performance Design and implement robust AI systems leveraging modern LLM technologies, including API integrations, Retrieval Augmented Generation (RAG), and embedding models Develop and maintain backend services and APIs that support AI functionality Implement efficient data pipelines and storage solutions for AI applications Implement comprehensive testing and monitoring for AI systems Required Qualifications Bachelor's degree in computer science, Software Engineering, or related technical field 3+ years of experience in software development with a focus on backend systems Strong proficiency in Python and its ecosystem for AI/ML development Experience with LLM technologies, including API integrations (OpenAI, Anthropic, etc.) Knowledge of RAG architectures, vector databases, and embedding models Clear understanding of software design patterns and principles Experience with Docker Understanding of CI/CD pipelines and DevOps practices Preferred Qualifications Masters degree in computer science, AI, or related field Experience with cloud platforms (AWS, Azure or GCP) Knowledge of AI agent frameworks and orchestration Experience with function calling, tool integration, and AI system planning Experience with monitoring and observability tools for AI systems Contributions to open-source AI/ML projects Experience with model optimization and deployment strategies Skills & Competencies Strong problem-solving abilities and analytical thinking Excellent communication skills to collaborate with both technical and non-technical stakeholders Ability to balance technical debt and delivery timelines Attention to detail, particularly regarding system reliability and security Passion for staying current with rapidly evolving AI technologies Top three skills looking in profiles: Proficiency in Python for AI/ML Development Strong command of Python and its ecosystem is essential for building and scaling AI applications. Experience with LLM Technologies and Architectures Includes API integrations (e.g., OpenAI, Anthropic), Retrieval Augmented Generation (RAG), vector databases, and embedding models. Backend Development and API Engineering Ability to develop and maintain backend services and APIs that support AI functionality. Role & responsibilities Preferred candidate profile

AI/ML-focused Software Developer with 3+ YOE in SDLC and 1+ year in conversational AI (speech-to-text, emotion recognition, agentic systems). Skilled in fine-tuning LLMs/SLMs, RAG, quantization, and distillation for production use. R & D Required Candidate profile Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs. Background in agent-based modeling, RL, GenAI. Holds CS/AI degrees with contributions via publications or open-source work.

We, at Cogito, are looking for someone with a zeal and flair to curate knowledge pieces and writings on how Artificial Intelligence, Machine Learning & NLP have taken automation & efficiencies in various industries by storm and how these ever shape-shifting technologies are surprising humans themselves everyday. Cogito Technologies, having a strong presence in USA and its delivery center in Delhi NCR, India, specializes in Human Empowered Automation. Our mission is to help our customers innovate and scale by solving their day-to-day data needs. Using our skilled on-demand workforce, we partner with Machine Learning, Artificial Intelligence, Technology and ecommerce clients to develop high-quality data sets used to build and enhance various cutting-edge business applications. Cogito is currently working on Artificial Intelligence applications in Annotation work and is looking to engage with "Content Manager" to participate in ongoing projects. The Role Being Content manager you will be working closely with a team to read, write, summarize knowledge, and interpret meaning. Think of it like being a language arts teacher or a personal tutor for some of the world's most influential technology. Assist with development of Large Language Models Assist with development of Generative AI applications Evaluate and Grade responses of LLM models Content Summarization Model evaluation Model alignment Efficient inference Classification and categorization Sentiment analysis Multimodal model question-answering systems Skills Set: Fluent to native English writing and reading skills required University to Masters degree 8-15 years of extensive experience working as Content Writer Ability to answer free-form prompts (questions) across a general scope of topics Ability to reference online resources and rephrase and write cohesive, accurate, responsive, and sometimes empathetic answers to the prompts in the perspective of an AI model Proven track record working on other projects requiring free form sentence creation Ability to answer specialized domain free-form prompts at university-level difficulty Ability to provide cohesive explanations to their prompt responses (E.g., explaining the process of solving a given math question, listing out the detailed process for a software question, etc.) Extra Added advantage if you have: Up-to-date knowledge on US culture and news. Knowledge of various NLP tasks and algorithms, such as sentiment analysis, named entity recognition, text classification, machine translation, and language generation. The Person This is a technology job that accommodates humanities people and relies more fully on your competencies than your formal experience making it a rare opportunity that's perfect for new grads, career transitioners, and those seeking an exciting encore career in AI. You're the sort of person who is exceptional at generating copy intuitively. You've also got the metacognitive awareness to "show your work." In addition, you're the sort of person with a deep interest in linguistics. You instinctively document learnings and continuously refine methods. You are a(n): Dedicated Grammarian Natural Writer Diligent Reader Self-Aware Interpreter Synthetic Sense-Maker Perpetual Learner Instinctive Educator Proven experience required Core Content Writing Background with own website/blogs/written piece of articles etc. Work in a cordial and cooperative manner with Marketing, SEO & Operations teams Most importantly, technical bent of mind with keen interest in new technologies and their applications The ability to think and act like a stakeholder is a plus Non-technical Strong sense of responsibility in quality and idea generation Can work well with others and open for giving/taking suggestions Strong written and verbal communication skills Strong motivation to learn and go in-depth into field of study Job requirements Fluent in English to be able to follow instructions and guidelines Detail-oriented with the ability to understand and follow instructions Ability to meet deadlines Responsible, reliable, and communicative Urgent Requirement.. Only F2F interviews Address: (HR Round) C-40, Sector 59, Noida (Red Building Rsystem) Final Interview (Manager+ COO) A-83, sector 2, Noida --- Regards, Team HR Cogito-Noida

RSMs growing Canada Indirect Tax practice is seeking a Senior Tax Associate to join their team in India. We assist clients with various consulting, planning and compliance services in GST/HST, PST and other excise, fuel and carbon taxes. This is an exciting opportunity with a growing firm that hosts a broad cross-section of clients and experiences. In our Indirect Tax practice, we work with clients to manage their indirect tax opportunities and risks. As a compliance senior, you will be a part of our indirect tax compliance team which has talented and dedicated professionals who provide quality compliance services across a wide variety of industries and tax jurisdictions through use of technology to improve reporting and compliance. Were a top choice in the middle market when it comes to strategies on reducing indirect taxes, innovative indirect tax planning, and the effective management of reporting burdens as well as indirect tax controversy support. We are seeking a candidate who has an entrepreneurial spirit, an unwavering client service mindset, and strong ability to work effectively in a team environment. As a Senior Associate, you will be responsible for the following which are focused around two core concepts (Technical and Quality Expertise, and Client Service): The primary focus of this role will be to prepare indirect tax compliance returns, and other Canadian indirect tax filings ranging from Goods and services tax (GST) Harmonized sales tax (HST) Provincial sales tax (PST) Quebec sales tax (QST) Registration of non-resident taxes for GST/HST and QST Saskatchewan, Manitoba and British Columbia consumption tax PST GST claim back/tax credits Prepare indirect tax account reconciliations. Provide excellent client service to our clients and the RSM tax team through responsive and professional interactions that foster the RSM experience for our clients that exceeds their expectations with timely and proactive indirect tax advice and consulting that enable clients to increase stakeholder value Provide indirect tax consulting, via tax research including nexus and registration analysis, indirect tax compliance, voluntary disclosures, indirect tax audit defense, indirect tax recovery projects, data and analytics using technologies such as Alteryx, Tableau, PowerBI, as well as indirect tax planning related to new client ventures in or outside Canada, reorganizations/M&A and due diligence reviews Draft written technical advice in the form of technical memos or other technical forms, elections, analysis and indirect tax treatment of various transactions, ranging from the impact of reorganizations to new product lines or jurisdictions in which our clients operate Contribute to client satisfaction by providing clients with quality, timely and responsive services, and work products. Interacting with government officials as you help our clients through indirect tax audits Identify opportunities to bring in other indirect tax or direct tax colleagues to provide our clients with a full suite of services to best serve their business needs Ability to integrate with clients and the overall tax team to help solve our clients tax issues Excellent interpersonal relations and demonstrated ability to work with others effectively in teams. Strong commitment to professional client service excellence. Develop strong client relationships and networking with existing and prospective clients. Ability to develop and present new ideas and conceptualize new approaches and solutions. Work on multiple files and issues while communicating in a non-technical manner to facilitate communication between the client and the RSM service team while managing risk for the client and firm. Required Qualifications: Minimum of 3 years' experience providing sales and use tax consulting services in Industry, or a public accounting, consulting or law firm Bachelors degree in the field of accounting or closely related field from an accredited college or university Possess thorough knowledge of a variety of state and local sales and use tax laws, regulations, policies and procedures, as well as tax planning, restructuring, due diligence, audit defense, and state controversy work. Strong communication skills (written and verbal) with the ability to work as part of a collaborative team Excellent client relation and interpersonal skills with the ability to work closely with clients to answer questions or to collect necessary information for client service engagements Preferred Qualifications: Masters in taxation or MBA desirable CPA, CMI, JD or LLM preferred A proven record of building profitable, sustainable client relationships A proven record of simultaneously managing multiple projects and engagement teams for various clients

Overview: We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities: Lead design and development of scalable backend services & APIs using Python and FastAPI . Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases . Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Develop intuitive UI components for agent configuration & visualization (JavaScript and React). Structure and style internal interfaces effectively (HTML5, CSS3). Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling. Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements: Back-End Development (Required) - Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication. Proficient in leveraging ORMs , designing robust relational database schemas ( PostgreSQL, MySQL ), and effectively utilizing caching mechanisms like Redis. Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Expert in version control with Git and containerization using Docker . Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. Good to Have Skills: AI/ML Integration - Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone). Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).

Growexx is looking for smart and passionate Data Scientist/Analyst, who will empower Marketing, Product, Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyse hit/event level web, product, sales, and digital marketing data. Leverage LLMs (Large Language Models) and traditional machine learning to mine, process, and analyze web, product, sales, and digital marketing event-level data. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Build and deploy predictive models and ML algorithms across structured and unstructured customer profile, journey, and usage datasets. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketing channels. Design and implement model activation strategies, including A/B testing plans, benchmarking studies, and measurement of final business impact. Conduct comprehensive evaluation of LLMs, including performance benchmarking (accuracy, latency, token usage, cost), prompt effectiveness testing, fine-tuning impact analysis, and safety/bias assessments. Design, build, and deploy LLM-based agentic systems using frameworks such as LangChain, AutoGen, CrewAI, or custom orchestration for complex workflows (e.g., multi-agent collaboration, function-calling pipelines, dynamic task execution). Integrate LLM agents with APIs, internal knowledge bases, retrieval systems (RAG architectures), and external tools to enable autonomous or semi-autonomous decision-making. Partner with data engineering teams to enhance and maintain the Customer360 data model, including creating new feature engineering requirements, improving taxonomy, and identifying and resolving data quality issues. Collaborate with cross-functional teams (Enterprise Data Warehouse, Salesforce MOPS, IT, Product, Marketing) to continuously improve data integration and quality for advanced modeling use cases. Build a deep understanding of business models, objectives, challenges, and opportunities by working closely with leadership and key stakeholders. Document model methodologies, evaluation frameworks, agent workflows, deployment architectures, and post-activation performance results in a structured and reproducible format. Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and ML technologies to recommend and implement innovative solutions. Key Skills Experience using Python, SciKit, SQL, Snowflake, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficient in data mining, advanced statistical analysis, feature engineering, and mathematical modeling. Deep experience with machine learning techniques including supervised, unsupervised, reinforcement learning, causal inference, and predictive modeling. Skilled across the full ML lifecycle: data preparation, feature creation and selection, model training, hyperparameter tuning, evaluation, and deployment for inference/prediction. Extensive hands-on experience with cookie-level advertising and digital marketing data (Google Ads, Bing, Epsilon, LinkedIn, Facebook) for demand generation KPIs such as ROAS, CTRs, impressions, multi-touch attribution (MTA). Proven experience designing, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and generative AI applications. Experience designing and deploying agentic systems using frameworks such as LangChain, AutoGen, CrewAI, and custom function-calling pipelines. Expertise integrating LLM agents with APIs, knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Strong understanding of evaluation metrics for LLMs, including prompt testing, token optimization, bias/safety analysis, latency, and cost benchmarks. Deep familiarity with cookie-level web and product behavior data (usage metrics, conversion funnels, bounce rates, sessions, hits/events, journey optimization). Expertise in designing and executing A/B, multivariate, and lift tests to measure activated ML/LLM model performance across digital and offline channels. Skilled in gathering business requirements, translating them into ML use cases, and clearly communicating methodologies and results to both technical and non-technical stakeholders. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Preferred: practical experience in an engineering capacity building, testing, deploying, and optimizing ensemble ML and LLM solutions in production environments. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 5 + years as a Data Scientist or similar roles.

Job Position (Title): Agentic AI Experience Required: 3 - 9 Years No of Position: 4 Job Type: FTE Location: Hyderabad Required Skills 3 to 7 years of hands-on experience in AI/ML, with at least 12 years specifically in Agentic AI or autonomous agents. Strong proficiency in Python and familiarity with AI libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs. Experience with tools like AutoGen , CrewAI , and LangGraph . Deep understanding of RAG pipelines , LLM fine-tuning , and embedding-based retrieval systems . Hands-on experience with vector databases like FAISS, Pinecone, or similar. Solid foundation in machine learning, NLP, and data structures. Excellent communication skills and ability to work in a collaborative environment Role and Responsibilities Design, build, and deploy intelligent autonomous agents using Agentic AI frameworks like AutoGen , CrewAI , and LangGraph . Implement RAG (Retrieval-Augmented Generation) pipelines to enhance response accuracy and contextual relevance. Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for knowledge storage and semantic search. Fine-tune large language models (LLMs) for specific tasks using tools like LoRA, PEFT, or full model training. Collaborate with product, research, and engineering teams to understand user needs and create agent-based workflows. Integrate APIs and services to create complex multi-agent systems capable of task delegation and coordination. Continuously evaluate and improve system performance, scalability, and reliability. Preferred Qualifications Prior experience deploying LLM-based agents in production. Knowledge of prompt engineering and agent orchestration. Contributions to open-source AI/agent frameworks.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: - Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. - Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and optimize NLP algorithms and models to improve performance and accuracy. - Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques - Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: - Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning - Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM - Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits - Experience in implementing various NLP algorithms and models. - Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly - Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it - Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization - Have worked with RNN, LSTM etc. - Work exp in creating NLP pipelines for processing large amount of document corpus - Expertise with Python Additional Information: - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. -Be a self-starter and a fast learner - Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges - Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills

Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of statistical analysis and machine learning algorithms.

We are looking for a dynamic and results-driven Product Manager to lead product planning, development, and delivery across the full product lifecycle. familiarity like Generative AI (Gen AI), Large Language Models (LLMs), and data modeling techniques

Key Responsibilities: Agentic AI solution implementation leveraging Azure ecosystem, open-source RPA tools and scripting solutions where needed. Automation Solution Development : Create, deploy, and optimize automation workflows and BOTs using Agentic AI frameworks like Autogen. Leverage AI-driven processes to enable smart automation in business operations. Hands-on Cloud Integration : Design and implement automation solutions that integrate seamlessly with Microsoft Azure services (such as Azure Functions , Logic Apps , Azure Storage ) and other cloud-based tools to improve scalability and performance. AI and Python Libraries : Utilize Agentic AI frameworks for enhancing automation processes, and use Python libraries like Playwright for web automation, browser interaction, and testing. Implement machine learning models or AI algorithms where applicable to automate decision-making and data processing tasks. Scripting & Customization : Develop custom scripts in languages such as Python , PowerShell , JavaScript , and others to extend the functionality of RPA solutions, optimize workflows, and troubleshoot complex scenarios. Stakeholder Engagement : Collaborate with business analysts, IT teams, and key stakeholders to gather requirements, align automation goals with business priorities, and ensure automation solutions meet the desired business outcomes. Process Optimization : Continuously monitor, analyze, and optimize existing automation systems to enhance performance, reduce processing times, and ensure robustness. Identify opportunities to further automate manual processes across departments. Technical Leadership & Mentorship : Provide leadership, mentorship, and training to Agentic AI developers and junior engineers. Share best practices and foster a collaborative environment to ensure high standards of automation development.

Job Description: - Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

Job Description: - Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

Looking for experienced Data Scientist Candidates. Job Description Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business Partnering on the design and implementation of statistical data quality procedures for existing and new data sources Communicating complex data science solutions, concepts, and analyses to team members and business leaders Presenting data insights & recommendations to key stakeholders Establishing links across existing data sources and finding new, interesting data correlations Ensuring testing and validation are components of all analytics solutions Skills : Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling Proficiency in programming languages such as Python and SQL for data analysis and model development. Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition Hands-on experience with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, and LLM integration for enhanced information retrieval and generation, GPT, and BERT Strong understanding of Machine Learning concepts including supervised and unsupervised learning, model training, evaluation, and deployment

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with Master degree enrollments. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

Accountabilities 4+ years of proven ability in Snaplogic Own development work assigned for each release/project in Mulesoft. Understand business requirements and ensure implementation is reviewed by tech leads. Ensure effective downstream integration and data quality fit for business purposes. Complete tech assessments for each CR, log in JIRA, and follow AGILE methodology. Troubleshoot integrations. Create documents related to implementation and ensure transition to service. Coordinate with Test and Release engineering team for defect management and successful deployment of improvements to production tenants. Essential Skills/Experience Development experience of working in Sales & Marketing Portfolio preferably in Life Sciences Industry. Technical hands-on experience in: ETL Technology: Snaplogic or any ETL Tool iPass: Databricks Database: Oracle/Postgres, SQL, PL/SQL Hands-on experience in LLM, Python, Java, ML is an added advantage. Hands-on experience in APIs, Postman, Rest Services. Integrating with Salesforce is an added advantage. Good understanding of Data Process Flow Configurations & Designs. Experience with Web Services Integration and APIs. Experience in the CICD process. Experience in Agile methodology. Superb communication, interpersonal, and organizational skills. Ability to solve complex problems. Work as a member of a team. Ability to meet tight deadlines. Ability to decipher highly technical data. Ability to multi-task in a constantly evolving work environment.

Strong python development experience with a focus on AI/ML Experience with GenAI libraries like OpenAI, Hugging face transformers etc. Understanding and practical knowledge of LLMs (GPT, CLaude etc.) and the concepts Familiarity with ML lifecycle : Preprocessing, model training, evaluation, deployment Preferred: Experience with AWS cloud platform and its services

- Data Scientist -6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. -Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. -Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. -Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. -Familiarity with vector databases and embedding techniques. -Experience deploying models using APIs, Docker, and cloud platforms -Strong analytical, problem-solving, and communication skills. -Experience in ML Ops, Model deployment, Model lifecycle and management