571 Llm Jobs - Page 4

(Notice Period should not be more than 30 Days) Job Summary: We are seeking a Python Backend Engineer with experience in AI/ML workflows , particularly LLMs and LangChain . The role focuses on developing Generative AI-driven applications, integrating LLMs, building data-pipelines, and backend services. Prior experience with generative AI is strongly preferred. Key Responsibilities: Implement LangChain/LangGraph workflows for AI-driven automation. Fine-tune LLMs for business applications. Build and optimize FastAPI-based backend services. Manage data pipelines and storage using PostgreSQL . Deploy and scale AI models using Docker (Kubernetes is a plus). Work with AWS SageMaker, GCP Vertex AI, or Azure ML for model deployment. Improve inference efficiency and reduce latency for real-time AI applications. Required Skills: Strong Python backend development (FastAPI preferred). Experience with LLMs, and prompt engineering . Hands-on experience with LangChain/LangGraph . Knowledge of PostgreSQL and scalable data storage. Familiarity with Docker, Kubernetes for containerization. Exposure to at least one cloud platform (AWS/GCP/Azure). Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, Qdrant, etc.). Experience with fine-tuning LLMs. Familiarity with micro-services Familiarity with MLOps best practices. Familiarity with any of AWS SageMaker, GCP Vertex AI, or Azure ML for AI model deployment.

Provide detail review and analysis of complex tax returns for: Real estate fund, holding entity and property partnership returns (Form 1065); REIT (Form 1120-REIT); and corporate blockers (Form 1120) Detail reviewing and analysis state and local tax returns, composite and withholding filings for client in the real estate industry Detail reviewing and analysis of quarterly and annual REIT Testing compliance Meet client, internal and statutory deadlines Work on multiple complex issues while communicating in a non-technical matter to facilitate communication between the client and the service team, all while managing risk for both the client and the firm Interact directly with clients and onshore teams handling questions, planning, concerns, etc. Develop, motivate, and train staff level and intern team members Performing, documenting, and summarizing research and conclusions regarding specific tax issues Remain up-to-date on current tax practices and changes in tax law Other duties as assigned Some travel may be required (varies based on location, line of business and client need) Qualifications: BA/BS Degree preferably in Accounting or related field of study 4+ years of experience in business taxation working for a Big 4 or a large national, regional or local accounting firm in the real estate industry CPA, JD/LLM or EA Prior tax compliance & consulting experience serving real estate clients Ability to work closely with clients to answer questions or to collect necessary information for tax service requirements Comprehensive understanding of tax law/rules and implications Experience preparing and reviewing returns Effective verbal and written communication skills

JD For Lead Data Scientist Job Location : Indore, Pune, Hyderabad & Delhi Designation: Lead Data Scientist We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Job Type: Full-time Responsibilities: End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with architects and presales teams. Ensure code modularity, testability, and governance. Required Skills: LangChain, LangGraph, embedding techniques, prompt engineering. Classical ML: XGBoost, Random Forest, time-series forecasting. Knowledge of Python ML stack and FastAPI. Strong understanding of security and cloud optimization.

Job Description At GKM IT, data isnt just numbersits insight, innovation, and the foundation of intelligent systems. We’re looking for a Data Scientist - Senior II who’s ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research. In this role, you’ll work on high-impact problems using advanced machine learning techniques. You’ll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns. If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be. Requirements 5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projects—from research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain Mentor and guide junior data scientists and interns in executing real-world projects Design and build machine learning and deep learning models to solve complex business challenges Work collaboratively across teams to turn data into decisions, and models into products Strong foundation in Statistics and Probability Advanced proficiency in Python for data science and ML workflows Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications Ability to turn theoretical models into production-ready code with clarity and precision Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated.

Job Description At GKM IT, data isnt just numbersits insight, innovation, and the foundation of intelligent systems. We’re looking for a Data Scientist - Senior II who’s ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research. In this role, you’ll work on high-impact problems using advanced machine learning techniques. You’ll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns. If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be. Requirements 5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projects—from research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain Mentor and guide junior data scientists and interns in executing real-world projects Design and build machine learning and deep learning models to solve complex business challenges Work collaboratively across teams to turn data into decisions, and models into products Strong foundation in Statistics and Probability Advanced proficiency in Python for data science and ML workflows Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications Ability to turn theoretical models into production-ready code with clarity and precision Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated.

Job Summary: We are looking for a highly skilled and innovative Python Developer with strong experience in Generative AI to design, develop, and deploy intelligent applications that leverage cutting-edge AI/ML technologies. The ideal candidate should be proficient in Python programming and have hands-on experience with modern Gen AI tools and frameworks (like GPT, LLMs, Diffusion Models). You will collaborate closely with cross-functional teams to deliver robust, scalable, and intelligent solutions. Key Responsibilities: Develop and maintain AI-powered applications using Python and modern Gen AI tools (OpenAI, Hugging Face, LangChain, etc.). Design and implement intelligent agents, data pipelines, and LLM-based applications. Fine-tune and deploy large language models (LLMs) for specific business use cases. Collaborate with data scientists, product managers, and designers to integrate AI capabilities into existing and new systems. Build RESTful APIs and backend services that leverage Gen AI components. Optimize application performance and manage infrastructure on cloud platforms (AWS, GCP, or Azure). Ensure code quality, security, and best practices in AI development. Stay current with advances in AI/ML and contribute to innovation within the team. Required Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, or related field from a Tier 1 institution. 6+ years of software development experience, with strong proficiency in Python. Hands-on experience with LLMs, prompt engineering, and fine-tuning. Experience with frameworks like Hugging Face Transformers, LangChain, or OpenAI API. Solid understanding of data structures, algorithms, and API development. Familiarity with ML pipelines, model deployment, and vector databases (like FAISS, Pinecone, or Weaviate). Knowledge of cloud platforms and containerization (Docker, Kubernetes). Ability to work in agile, fast-paced environments and drive projects from concept to production. Preferred Qualifications: Contributions to open-source Gen AI or ML projects. Experience with RAG (Retrieval-Augmented Generation) pipelines. Knowledge of NLP, computer vision, or multi-modal AI systems. Familiarity with MLOps and AI observability tools. Published research papers or blogs on AI/ML topics.

About BU: Home to creative hearts and technologists alike, our Digital Media Solutions team is a highly engaged and driven group. They help the worlds leading organizations enhance digital media performance by delivering meaningful human experiences, backed by a visionary product and our data prowess. A full-service powerhouse with multiple verticals and growing teams, these digital disruptors navigate consumer journeys on nearly every consumer device in the US. This team works on Adtech data at internet scale, using the latest innovative open-source technologies. How You’ll Make an Impact: Reporting directly to the Senior Manager of AOPS team, you will play a key role as a Senior Data Analyst in designing and delivering AI-based analytical solutions to support and elevate analytics within Epsilon’s Digital Media Solutions. The primary responsibilities of the Data Intelligence team within AOPS involve design and development of new AI-based automated analytics solutions, tools, and applications, which expands the capabilities of Epsilon’s analytics application platforms and significantly improve the productivity of our analytics teams by streamlining cost, reducing time and effort, and boost client satisfaction. You’ll collaborate closely with Analytics and Engineering teams, fostering multi-functional partnerships to drive impactful results. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. What You’ll Achieve: Develop end-to-end AI solutions, from data preprocessing and model training to deployment and monitoring. Optimize models for performance, accuracy, and scalability across various deployment environments. Expand your understanding of the digital marketing retail media landscape and discover how our analytics solutions improve value for Epsilon’s clients. Unlock significant growth opportunities within Data Intelligence and across AOPs, with pathways for leadership and people management. Collaborate closely with Analytics teams to design and develop innovative AI solutions. What You are: A Master’s or Bachelor’s degree in Data Science, Computer Science, or a related technical field. 5-8 years of professional experience in designing and developing AI-based analytical tools and applications, data processing, report automation, and dashboard platforms. Hands-on experience in developing solutions using Large Language Models (LLMs). Ability to perform thorough data driven comparative analysis and demonstrate differences between multiple solution approaches. Proficiency in distributed data platforms (such as Greenplum and Hadoop) and data intelligence tools (Databricks, Tableau), along with development skills in Python and SQL. Ability to create visually compelling, interactive dashboards. Demonstrable ability to collaborate multi-functionally and effectively discuss requirements. Experience in software development within Agile frameworks including related project tracking tool like Git, JIRA, Confluence. Experience in validating AI solutions.

Role & responsibilities Design and implement LLM architectures (e.g., transformer variants) Pretrain and fine-tune models on large-scale datasets Apply techniques like LoRA, PEFT, DPO, or RLHF to improve model alignment Optimize training using frameworks. Evaluate models Collaborate with data and product teams to align model capabilities with use cases Key skills: Python, AI, LLM, Pytorch, SQL, NLP Preferred candidate profile Perks and benefits

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience: 6-10Years (3+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 USA: +1 (346) 999 0801 Email: Balaram@aurumdatasolutions.com

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+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

Key responsibilities Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation Intensive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior analysts/lead analysts. KPIs Timeliness, accuracy, manager and client feedback (Internal and external as required) Collaborate ,with internal stakeholders and demonstrate the ability transform client questions and problems into analytical solutions Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions Build industry knowledge on the advancements in the field of analytics Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture. Key activities Working in a team to support end-to-end analytical projects Liaising with stakeholders to determine objectives / scope of upcoming projects Data exploration, cleansing and manipulation Determining appropriate type of analysis and undertaking analysis Extracting insights Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools Participate in client meetings Ongoing stakeholder interaction (internal and external as required) on project progress Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team Experience and education required 2-4+ years experience in a technical analytics environment, carrying out data analytics Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS Experience in visualization and data management tools is an added advantage Experience in GenAI/ LLMs is an added advantage Experience working with complex datasets Attention to detail Drive for continuous improvement Participation in external data hackathons and competitions will be an added advantage

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve togetherresearching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of. What you will do Let's do this. Let's change the world. In this vital role we are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs) Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake) Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication Experience Generative AI tasks such as content summarization, deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging Continually researching current and emerging technologies and proposing changes where needed Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 912 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS) Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, remote teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

Data Scientist What you will do The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen's Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What we expect of you Basic Qualifications: Master's degree and 2 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor's degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams.

Position : Senior AI Engineer Experience Required : 3+ Years Company : Academian (EdTech Domain) Work Location: Pune Notice Period: we are looking for Immediate - 30 days NP (Candidate having 60 days Notice Period will not be considered) Role Overview We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain. Key Responsibilities: AI Model Development : Design, train, and deploy AI models for diverse use cases, including: Computer Vision : Image recognition, object detection, segmentation etc. Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc. Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models. RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models. Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.). Open-Source LLM Development : Develop and fine-tune open-source LLMs to cater to domain-specific needs. Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency. Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries. Integration & Architecture : Integrate AI solutions with Vector/Graph db for advanced data relationships and queries. Implement and manage MLOps / LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models. Leadership : Mentor and guide junior engineers, fostering innovation and skill development. Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals. Infrastructure : Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions. Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development. Best Practices : Establish robust practices for coding, testing, and documenting AI solutions. Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development. Requirements: Experience 3+ years of experience in AI/ML Proven expertise in designing and deploying AI solutions in production environments. Technical Skills Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools. In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models . Familiarity with open-source LLM development and deployment Experience with RAG architectures , Graph Databases , and LLMOps practices. Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure). Domain Knowledge Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus. Soft Skills Exceptional leadership and team mentoring abilities. Strong problem-solving skills and excellent communication for technical and non-technical stakeholders. Education Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields. Why Join Us: Opportunity to lead AI initiatives that shape the future of education technology. Work in a collaborative, mission-driven environment with a focus on innovation. Engage with impactful projects and cutting-edge AI technologies. Competitive salary, benefits, and opportunities for professional growth.

Job Summary: We are seeking a highly skilled and creative AI ML Engineer LLM and NLP with deep expertise in artificial intelligence, natural language processing, and prompt design for large language models (LLMs). This role is crucial in crafting, optimizing, and scaling interactions with advanced AI systems to improve performance, user experience, and business outcomes across various applications. --- Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct rigorous experimentation and benchmarking of prompts and AI outputs for accuracy, safety, and usability. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay current with advancements in generative AI, NLP, and prompt engineering techniques. Contribute to building internal documentation, style guides, and prompt libraries. --- Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Linguistics, or a related field (PhD a plus). 2+ years of experience working with LLMs, AI systems, or NLP frameworks. Strong understanding of transformer models, prompt engineering, and zero/few-shot learning. Must have experience with Prompt response and design Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Proficiency in Python and use of AI libraries (LangChain, LlamaIndex, etc.). Excellent writing skills and a sensitivity to language nuance, tone, and context. Analytical thinker with a structured approach to testing and evaluation. --- Preferred Qualifications: Familiarity with fine-tuning LLMs or using vector databases for retrieval-based prompting. Experience working on AI-driven products in SaaS, education, enterprise, or creative tools. Understanding of prompt security, safety, and mitigation strategies for bias or hallucinations. Background in UX, technical writing, or content design is a plus. ---

Greetings from V2Soft Position : AI Architect / Developer Location : Bangalore / Chennai Experience : 9 -15 Years. Mode : Hybrid. Role & responsibilities : 10+ years of experience in the field of AI and ML ( Machine Learning ) 2 Years of relevant experience and previous work in any related AI is a plus Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph* ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol )* Agentic AI* LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy* Deploying Models on-prem and on the cloud Interested Candidates can send your updated resume to : kkumarpn@v2soft.com Regards Kiran

Looking for Python Data Engineer

Responsibilities: 1. Assist in developing and fine-tuning (LLMs) using deep learning frameworks 2. Work on model training, evaluation, and optimization 3. Support data preprocessing, augmentation, and pipeline setup for large-scale datasets

Dear Candidate, Roles and Requirement: Experience in working with Google CCAI solutions creating virtual agents using Dialogflow, generating meaningful analytics using Insights, designing and implementing customer experience solutions projects (any industry). Passion for building leading class Google contact center solutions for clients (gcc) Having thorough understanding of end to end Google contact center transformation Thorough understanding of CX & contact center architecture and project experience with Google CCAI solution is a must Experience on working with other Conversational AI (like Amazon Lex, IBM Watson, Microsoft PVA, Nuance, Khoros, etc.) and CCaaS platforms (Genesys, Amazon Connect, Avaya, Cisco, Sprinklr, etc.) is good to have Experience of building Gen AI based use-cases and solutions that work across industries and markets Story boarding, creating differentiated solution as per client needs and compelling story telling is a must Ability to work with ambiguity and exploratory mindset is a must Strong Analytical skills, excellent written and oral communication skills Experience working in a large, complex global team environment Excellent verbal and written communication skills, with the ability to present at the Board and C-level Ability to work effectively in a remote, inclusive, virtual, global environment Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and knowledge/experience on Google Gen AI product suite like Vertex AI, Google Gemini, Decibel, Generators, Generative Fallback, Playbooks, LLM based topic modelling, LLM Agent Assist. Drive design thinking innovative workshops with the clients using design principles and help shape their Gen AI implementation strategy thinking about the business value proposition and customer experience. Perform CX management capability assessment and identify foundational, evolving and advanced capabilities, co-create the roadmap path with the clients to achieve leading class CX capabilities Ability to understand business requirements still putting customer experience at the heart of CX design Ability to think and pre-empt scenarios and questions from cross functional client team (from CX operations, IT, Contact Center operations, digital, analytics, line of business etc) Work with technical Google team/developers to convert user requirements into final product Work with Accenture and client team on CCaaS (Contact Center as a Service) migration Deliver using agile delivery process, continuous improvement and continuous development Work with other Accenture teams to put forward differentiated CX management solutions for large clients (RFI and RFP process) Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends, and bringing in innovative solutions, etc. Bring your best skills forward to excel at the role: A strong and well-established record of accomplishment in designing and delivering Google CCAI solutions and platform Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs Thorough understanding of CCAI Framework and integration with internal and external components

Job Title: Senior AI Engineer Location: Chennai Reports To: Data Architect About the Company: Ignitho Inc. is a leading AI and data engineering company with a global presence, including US, UK, India, and Costa Rica offices. Visit our website to learn more about our work and culture: www.ignitho.com. Ignitho is a portfolio company of Nuivio Ventures Inc., a venture builder dedicated to developing Enterprise AI product companies across various domains, including AI, Data Engineering, and IoT. Learn more about Nuivio at: www.nuivio.com. Job Summary: As a Senior AI Engineer, the candidate will lead the design, development, and deployment of cutting-edge machine learning and artificial intelligence solutions. The candidate will work closely with cross-functional teams to understand business needs and translate them into scalable AI-driven applications. Key Responsibilities: Design and implement machine learning models and AI agents/LLMs . Develop and optimize AI pipelines (LLM, RAG, fine-tuning) Collaborate with product, engineering, and data teams to define and implement AI-driven features. Evaluate model performance and iterate to improve accuracy and efficiency. Mentor junior engineers and contribute to team best practices. Stay up to date with state-of-the-art AI technologies and research. Required Qualifications: Bachelors or master’s in computer science, AI, or related field. 5+ years of experience in AI/ML development . Experience working with LLMs, Agentic AI, RAG, and model fine-tuning Strong programming skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with cloud platforms ( Azure preferred). Solid understanding of data preprocessing, model training, validation, and deployment.

Skill Needed Job: Define the Agentic Function for Industrial Quality Inspection Workflow design Bring up the LLM and AI baseline framework -open source (Llava) Visual inspection -Customization for specific environment Descriptive outcome-Prompt Engineering for visual inspection UC Third party/Defect Evaluation Sensors Integration Skills Gen AI/ML, LLM Model Training and Fine-Tuning Fine-Tuning . RAG implementation, dataset curation, customization Develop Gen AI Use cases using models using GCP/AWS/Azure as well as Private Server/Edge AI tools/frameworks (e,g NVIDIA tool/libraries) ML Engineering Tensor Flow, PyTorch NLP/Neural Networks/Python etc Familiarity with AWS, Azure or Google Cloud Platform Software Development Methodologiese & responsibilities We would like to have below details and your updated CV to process ahead with screening and technical discussions. Interview Mode: Virtual(Teams video conference) Location- Noida /Chennai/Bangalore Candidate Name Notice Period/LWD Experience Preferred Current CTC Expected CTC DOB Offer Holding from other Org with CTC details.- Email id Contact No

We have operations across the US and India and are working with the top AI firms globally to take their large language models (LLMs) to the next level of quality and consistency Who you are & how you can contribute? We seek a highly knowledgeable and detail-oriented Market Research Executive (Freelancer) to join our data annotation team who can use their data collection, communication, and statistical skills to train the LLM models If you are excited to contribute to AI innovation, this position is perfect for you Role & Responsibilities: Help in the training of an AI assistant model to enhance its accuracy and performance Evaluate the model's responses across multiple dimensions to ensure quality and relevance Maintain high standards of speed and precision while assessing the model's responses. Must Required Traits: Strong attention to detail Ability to carefully follow instructions Excellent proficiency in English. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Very Urgent: AI Specialist Company: AurumData Solutions Location: Hyderabad Experience: 5-10Years Work type: Work From Office 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. Key Responsibilities 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. 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. 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 CVs to Madhavi@aurumdatasolutions.com