571 Llm Jobs - Page 5

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

GenAI, NLP, or LLM based systems , strong Python development skills and working LangChain, LlamaIndex, Hugging Face Transformers, or similar GenAI libraries Deep understanding of vector databases and embedding techniques

Job Description Greetings from Fujitsu Research Lab (https://www.fujitsu.com/global/about/research/) About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsus products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researchers duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsus network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions.

Gainwell Technologies LLC Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. What you should expect in this role Fully Remote Opportunity Minimal Travel Required – Occasional travel opportunities (0-10%) Working hours 1:30 pm to 11 pm Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.

AI / ML Engineer Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years Job Description: AI/ML resource with ML Ops Key Skills: • 3+ years of experience in AI/ML/Gen AI use case development, deployment, and/or monitoring. • Hands-on understanding of AI observability concepts, model performance tracking, and monitoring tools. • Experience in documenting technical workflows, onboarding guides, and reporting dashboards. • Proficiency in working with AI platforms, cloud tools (e.g., Azure, GCP, AWS), and basic scripting. Required Skills: • Use Case Onboarding Support: Partner with AI/Gen AI use case teams across functions to guide them through the onboarding process onto the AI observability platform. • Troubleshooting & Enablement: Assist teams in identifying and resolving onboarding issues and recommend best practices for observability integration. • Stakeholder Engagement: • Conduct regular check-ins with use case owners to gather feedback, resolve issues, and provide updates on onboarding progress. • Documentation & Reporting: • Maintain up-to-date onboarding trackers, create documentation and status reports for leadership, and develop onboarding artifacts. • Cross-Functional Coordination: Act as a liaison between use case teams and the AI observability product team to share progress, blockers, and improvement opportunities. • Monitoring Support: • Provide assistance with bug fixes and other platform support activities that ensure ongoing monitoring and value realization. • Use Case Health Reporting: • Generate periodic reports on use case performance, health metrics, and provide insights or recommendations to enhance outcomes. • Knowledge Contribution: • Help build knowledge base and reusable onboarding documentation, FAQs, templates, and best practices.

Hello All, We Are hiring for Data Scientist Position Skills Python+AI+RAG+LLM Traditional DS+ NLP+DL+AI MLOPS+ Any cloud Below detail JD FYR, Location - PAN INDIA Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intrested candidates please share your CV on kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

Hiring for Python AI Developer with one of the service based organization. Location- Pan India Role & responsibilities Mandate Skills:- Must have hands on experience fine tuning LLMs using project specific data and experience training complex models such a deep learning model. Responsibilities / Duties: Training AI models using OCR and LLMs Follow AWS Well-Architected Framework Following internal best practices for code monitoring and testing Ensure data confidentiality and HIPAA compliance Collaborate with other data scientist and divide work to finish the projects within the timeline Meet deadlines for weekly/bi-weekly meetings Collaborate with software engineers to deploy models in production Robust testing of models to ensure accuracy Create visualizations to communicate results to non-technical stakeholders QA/Application testing Testing and implementing NER models Compare feasibility of different models Skills: Big data Data cleaning Python Experience training complex models and fine tuning models AWS SageMaker Bedrock Lambda S3 API gateway Textract API CI/CD Version control Jenkins SQL OCR NER models LLMs Fine tuning (mistral, llama, and other open source models) Prompt tuning Familiar with huggingface packages Computer vision models for object detection and segmentatio What we seek: Able to code in python Have used AWS services like Sagemaker and Textract Knowledge of Gen AI and experience fine-tuning models Good understanding of Machine learning basics (know what metrics to use, and when) Good understanding of deep learning basics so they can tweak the models during fine-tuning Good understanding of NLP concepts, such as Named-Entity Recognition If interested kindly share your updated resume on asawari.kerkar@prodcon.com . Best Regards, Asawari Kerkar Training & Talent Acquisition Specialist Prodcon Tech Services Unlocking potential!

Hiring for Python AI Developer with one of the service based organization. Location- Pan India Role & responsibilities Mandate Skills:- Must have hands on experience fine tuning LLMs using project specific data and experience training complex models such a deep learning model. Responsibilities / Duties: Training AI models using OCR and LLMs Follow AWS Well-Architected Framework Following internal best practices for code monitoring and testing Ensure data confidentiality and HIPAA compliance Collaborate with other data scientist and divide work to finish the projects within the timeline Meet deadlines for weekly/bi-weekly meetings Collaborate with software engineers to deploy models in production Robust testing of models to ensure accuracy Create visualizations to communicate results to non-technical stakeholders QA/Application testing Testing and implementing NER models Compare feasibility of different models Skills: Big data Data cleaning Python Experience training complex models and fine tuning models AWS SageMaker Bedrock Lambda S3 API gateway Textract API CI/CD Version control Jenkins SQL OCR NER models LLMs Fine tuning (mistral, llama, and other open source models) Prompt tuning Familiar with huggingface packages Computer vision models for object detection and segmentatio What we seek: Able to code in python Have used AWS services like Sagemaker and Textract Knowledge of Gen AI and experience fine-tuning models Good understanding of Machine learning basics (know what metrics to use, and when) Good understanding of deep learning basics so they can tweak the models during fine-tuning Good understanding of NLP concepts, such as Named-Entity Recognition If interested kindly share your updated resume on asawari.kerkar@prodcon.com . Best Regards, Asawari Kerkar Training & Talent Acquisition Specialist Prodcon Tech Services Unlocking potential!

Develop and maintain Python-based applications with a focus on AI, NLP, and LLM integration . Experience in coding with Generative AI and PYTHON. Strong proficiency in Python and experience with AI frameworks (e.g., TensorFlow, PyTorch). Hands-on experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers). Familiarity with building, fine-tuning, and deploying LLMs . Experience in developing conversational agents or chatbots. Knowledge of REST APIs and system integration. Understanding of cloud platforms like AWS, Azure, or GCP for deploying AI solutions .

Data Scientist/ GenAI LLM Engineer. Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information. As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients. Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies. Required Qualifications: Bachelors Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders. Desired Qualifications: M.sc. or Phd. in corresponding fields Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks Deep knowledge of a specific domain or industry, with a focus on NLP/LLM In depth understanding of Responsible AI standards and protocols Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development

In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Job Title: Generative AI Analyst Responsibilities: Large Language Model Data Evaluation & Narrations: Execute data evaluation, narration, and labeling tasks according to client requirements and guidelines with precision and attention to detail for AI model training Language Proficiency: Demonstrate a high level of English language proficiency (C1 level or above) in both written and verbal communication. C1 TOEFL or ielts CERTIFICATION OR Equivalent Adherence to Guidelines : Follow client-specific instructions and guidelines meticulously to produce consistently accurate annotations. Quality Assurance: Perform quality checks on annotated data to maintain high standards of accuracy and completeness. Communication: Collaborate effectively with team members and project managers to address queries and ensure smooth workflow. Feedback Integration: Actively participate in feedback sessions and incorporate constructive feedback into your work to improve annotation quality. Requirements: Language Skills: Proficiency in English at a C1 level or higher, both written and verbal. Attention to Detail: Strong attention to detail and ability to follow guidelines accurately. Adaptability: Ability to adapt to changing project requirements and priorities. Team Collaboration: Strong team collaboration and communication skills. Tech Savvy: Comfortable working with annotation tools and technology platforms.. Generative AI Understanding: Familiarity with generative AI concepts and a keen interest in contributing to the advancement of language generation technologies. Autonomous vehicle: (Good to have skills) Understanding of perception and prediction labeling work in AV domain is a plus.

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The MLOps Engineer is a pioneering role within the Ansys Customer Excellence (ACE) team, focused on developing and deploying AI applications at scale for various business operations. ACE team is in a continuous pursuit of operating with utmost efficiency and identifies AI as the new paradigm shift. This role is instrumental in leveraging MLOps knowledge and experience to streamline and accelerate AI transformation within the ACE team. The MLOps Engineer will collaborate closely with the ACE team to create innovative AI-driven solutions, optimize machine learning infrastructure, and establish best practices to enhance the efficiency and effectiveness of AI implementation in the organization. Key Duties and Responsibilities Develop the necessary Python modules as micro-services for AnsysGPT back-end (RAG, LLM, database, security related, etc.) systems. Develop and maintain CI/CD pipelines to ensure efficient model deployment, testing, and monitoring of AI applications. Evaluate and test new machine learning models and infrastructure for performance, stability, scalability, and cost-effectiveness. Develop the front-end access-points for specific AI applications that the team is building. Develop and maintain the library of system prompts for all the applications that the team has. Fix defects and implement enhancement based on internal testing and external feedback. Maintain production and staging environments for all the AI platforms that the team has. Ensure compliance with data privacy and security regulations. Work with the UX/UI team to develop and maintain the front-end access-points. Work with data team to develop and maintain a suite of tools that can be used for automated or semi-automated data scraping/uploading, including maintaining data indexes. Work with deployment team to build any on-demand infrastructure/platform to handle specific customers or situations. Participate in other strategic team and company initiatives, as needed Minimum Education/Certification Requirements and Experience Required education and degree type: BS or MS in computer science, engineering, or a related field. Required minimum years of professional experience in an engineering software environment: BS+2, MS+0. Strong background in foundational AI models and experience working with either commercial or open-source large language models. Strong knowledge of machine learning, deep learning, and MLOps is mandatory. Proficiency in Python is required; knowledge of JavaScript front-end development is a plus but not necessary. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Preferred Qualifications and Skills Preferred education and years of professional experience in an engineering software environment: BS+5, MS+3, PhD+0. Ability to travel domestically up to 10% of the time. Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages. Knowledge of the use of Ansys Discovery products. Proficiency with cloud platforms, such as Azure, AWS, and Google Cloud, with a strong preference for Azure. Familiarity with collaboration and version control tools such as Git, JIRA, and Confluence. At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential in the knowledge that every day is an opportunity to observe, teach, inspire, and be inspired. Together as One Ansys, we are powering innovation that drives human advancement. Our Commitments: Amaze with innovative products and solutions Make our customers incredibly successful Act with integrity Ensure employees thrive and shareholders prosper Our Values: Adaptability: Be open, welcome whats next Courage: Be courageous, move forward passionately Generosity: Be generous, share, listen, serve Authenticity: Be you, make us stronger Our Actions: We commit to audacious goals We work seamlessly as a team We demonstrate mastery We deliver outstanding results OUR ONE ANSYS CULTURE HAS INCLUSION AT ITS CORE We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive. At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it's about the learning, the discovery, and the collaboration. It's about the what's next as much as the mission accomplished. And it's about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics. CREATING A PLACE WE'RE PROUD TO BE Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Americas Most Loved Workplaces, Gold Stevie Award Winner, Americas Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, U.K.). For more information, please visit us at www.ansys.com Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.

Dear Candidate Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned Web Software company based in Noida Number of working days: 5 Shift Timings: Day Shifts Salary: upto 32 LPA Profile: AI/ ML Engineer Experience Required: Min 5 Years **** Work from Office only Job Summary: Join our forward-thinking team to pioneer cutting-edge AI solutions that transform industries. We seek an AI Expert with 5+ years of experience in Python, machine learning, and large language models (LLMs), paired with robust MLOps expertise. You will architect, optimize, and deploy scalable AI systems, focusing on LLM fine-tuning (e.g., Llama, GPT, Mistral), Retrieval-Augmented Generation (RAG), and production-grade deployment on AWS . If you thrive on solving complex challenges, driving ethical AI innovation, and leading cross-functional teams, this role is for you. Key Responsibilities: Design, develop, and deploy AI/ML models using Python and relevant frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Optimize and fine-tune machine learning algorithms for performance, scalability, and accuracy. Work with large datasets to extract insights, preprocess data, and build predictive models. Develop and integrate AI-powered solutions into applications, including natural language processing (NLP), computer vision, and deep learning systems. Architect, fine-tune, and deploy large language models (LLMs) for various use cases such as chatbots, text generation, summarization, and document understanding. Implement retrieval-augmented generation (RAG) techniques to enhance LLM capabilities. Research and apply model compression techniques such as quantization and distillation to optimize LLM deployment. Leverage embeddings, knowledge graphs, and vector databases for efficient information retrieval and AI-driven insights. Develop robust MLOps/LLMOps pipelines for model versioning, monitoring, and CI/CD integration. Deploy AI models in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) and optimize inference cost-performance trade-offs. Utilize containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow for scalable AI deployments. Stay updated on the latest AI advancements and integrate emerging technologies into production systems. Ensure AI model interpretability, fairness, and adherence to ethical AI principles. Participate in code reviews, debugging, and troubleshooting of AI models and pipelines. Required Qualifications & Skills: Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 5+ years of hands-on experience in AI, machine learning, or deep learning projects. Programming: Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, etc.). LLM Expertise: Hands-on experience with LLMs such as OpenAIs GPT, Llama, Mistral, Gemini, PaLM, or similar frameworks. Fine-Tuning & Optimization: Experience fine-tuning LLMs, optimizing for cost-performance balance, and utilizing techniques like LoRA, PEFT, and RLHF. NLP & Deep Learning: Expertise in NLP model training, transformer-based architectures (BERT, T5, GPT, etc.), and model evaluation techniques. MLOps & LLMOps: Experience with model lifecycle management, monitoring, CI/CD pipelines, and cloud-based model deployment. Cloud & Deployment: Proficiency in deploying AI models on Google Cloud (Vertex AI), AWS, or Azure. Containerization & Orchestration: Experience with Docker, Kubernetes, and Kubeflow for AI model deployment. Data Engineering: Knowledge of data preprocessing, feature engineering, and handling large-scale datasets efficiently. Prompt Engineering: Strong understanding of prompt design, embedding generation, and model evaluation metrics for LLMs. Security & Ethics: Familiarity with AI security best practices, data privacy, and responsible AI principles. Interested candidates can reach out at 9711831492 or share your resume at gaurav.a2zhrconsultants@gmail.com Candidates who are already on Notice period or immediately available shall apply only. Regards Gaurav Kumar A2Z HR Consultants 9711831492

About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains. Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects. Lead the architectural design and implementation of complex AI systems. Evaluate and recommend emerging AI technologies and methodologies. Drive the adoption of best practices for AI development, deployment, and maintenance. Contribute to the strategic planning of AI initiatives, aligning them with business goals. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct code reviews and ensure code quality. Identify and address skill gaps within the team. Facilitate knowledge sharing and continuous learning. AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions. Ensure the performance, reliability, and security of AI systems. Drive the development of AI pipelines and infrastructure. Lead the integration of AI models with existing systems and applications. Troubleshoot and resolve complex technical issues. Research & Innovation: Stay abreast of the latest advancements in AI and machine learning. Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. Drive research and development efforts to explore new AI technologies. Evaluate and prototype new AI solutions. Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Communicate complex technical concepts to both technical and non-technical audiences. Provide technical presentations and demonstrations. Document technical designs, code, and processes. Required Skills and Qualifications: Education: Batchelors or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. Extensive experience in designing and implementing scalable AI systems. Proven experience in leading and mentoring technical teams. Deep understanding of machine learning and deep learning algorithms and architectures. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of AI infrastructure and deployment strategies. Experience with MLOps best practices. Experience with vector databases, and LLM implementations. Proficiency in software development principles and best practices. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: Exceptional leadership and communication skills. Strong problem-solving and analytical skills. Ability to think strategically and drive innovation. Excellent interpersonal and collaboration skills. Strong presentation skills. Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). Experience with natural language processing (NLP) or computer vision. Contributions to open-source AI projects. Experience with distributed systems and big data technologies. Experience with prompt engineering.

We are seeking a talented and motivated Senior Data Scientist to join our team. The ideal candidate will have a strong background in Python, neural networks, generative AI (GenAI), and large language models (LLM), as well as experience in prompt engineering. This role requires a solid understanding of data science techniques and the ability to apply them to solve real-world problems. Key Responsibilities: Develop and implement machine learning models, including neural networks and generative AI. Work with large language models to enhance natural language processing capabilities. Design and optimize prompts for various AI applications. Analyze and interpret data to provide actionable insights. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Stay current with the latest advancements in data science and AI technologies. Required Skills: Proficiency in Python programming language. Experience with neural networks and generative AI/LLM. Knowledge of prompt engineering techniques. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.

Role Summary: We are seeking an AI Engineer with a strong background in Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and agentic AI to join our growing team. You will focus on building robust, scalable AI solutions that harness Azure AI capabilities, with a strong emphasis on MLOps and LLM frameworks. You should have a passion for crafting high-quality, production-ready AI systems and a proven track record of delivering impactful solutions. Key Responsibilities: * Design & Develop: Architect and implement Generative AI applications using Azure OpenAI Services, Azure Machine Learning, and other Azure AI tools. Develop and fine-tune LLMs for domain-specific tasks using popular frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or similar. Build agentic AI systems capable of autonomous reasoning and task execution. * NLP and Advanced Language Models: Work with Natural Language Processing pipelines, including text classification, summarization, entity extraction, and question answering. * MLOps & Azure Integration: Familiarity with CI/CD pipelines, model versioning, deployment, and monitoring for AI models using Azure Machine Learning MLOps capabilities. Collaborate with DevOps team to ensure seamless integration of models into production systems. * Innovation & Scalability: Stay at the forefront of AI advancements, particularly in LLMs and Generative AI, to continuously enhance our AI solutions. Drive the adoption of best practices for scalable and secure AI system development on Azure. * Mentorship & Collaboration: Provide technical mentorship to junior engineers and contribute to knowledge-sharing within the team. Collaborate closely with cross-functional teams (Product, Engineering) to translate business requirements into technical solutions. Qualifications & Skills: * Experience: Minimum 4 years of experience in AI engineering, with a strong focus on Generative AI, LLMs, and NLP. Proven experience building and deploying AI models using Azure AI capabilities, including Azure OpenAI, Azure ML, and Azure Cognitive Services. Solid experience with LLM frameworks such as LangChain, LlamaIndex, Hugging Face, etc. Hands-on experience with MLOps pipelines and CI/CD practices. * Technical Skills: Proficiency in Python (including libraries like PyTorch, TensorFlow, and popular LLM frameworks). Strong understanding of LLM fine-tuning, prompt engineering, embedding models, and vector databases (e.g., Azure AI Search, Pinecone, Weaviate). Familiarity with containerization (Docker, Kubernetes) and cloud infrastructure, with a preference for Azure. * Soft Skills: Excellent problem-solving skills, with a focus on delivering production-ready solutions. Strong communication and collaboration abilities, with a knack for explaining complex AI concepts to non-technical stakeholders.

Design develop & deploy web app using Next.js & modern frameworks Integrate & utilize LLM or Gen AI APIs Build resp UI/UX & dynamic pages with SSR & SSG using Next.js. Collab with data scientists AI engineers & UX/UI designers to bring AI features Required Candidate profile 3–6+ yrs of exp in full stack or front-end developer. Proficiency in Next.js, React.js JavaScript/TypeScript. Exp in working with LLMs integrating GenAI tools/APIs in real world app

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.

As a Senior / Lead Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. • Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decisionmaking, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. • Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. Role & responsibilities Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Roles and Responsibilities : Lead a team of data scientists to design, develop, and deploy machine learning models using Python and natural language processing techniques. Collaborate with cross-functional teams to identify business problems that can be solved through data analysis and modeling. Develop and maintain complex algorithms for text classification, sentiment analysis, and topic modeling. Ensure high-quality deliverables by reviewing code reviews, providing feedback on technical designs, and mentoring junior team members. Job Requirements : 7-13 years of experience in machine learning or related field (data science). Strong proficiency in Python programming language with expertise in libraries such as scikit-learn, TensorFlow, or PyTorch. Experience with natural language processing techniques including text preprocessing, feature extraction, and model evaluation metrics.

Key Responsibilities: Design, develop, and train deep learning models for structured and unstructured data. Fine-tune pre-trained large language models (e.g., LLaMA, Mistral, Falcon, GPT-based models) for custom use cases. Evaluate model performance using standard metrics and improve based on experimentation. Build and maintain scalable training pipelines and inference systems. Collaborate with product and research teams to convert business requirements into technical solutions. Perform data preprocessing, augmentation, and annotation where needed. Optimize model inference speed and resource efficiency (e.g., quantization, pruning). Keep up with the latest research in ML/DL and apply relevant techniques to real-world problems. Required Qualifications: B.Tech / M.Tech / MS in Computer Science, Electrical Engineering, or related field. 23 years of hands-on experience in machine learning and deep learning. Strong knowledge of Python and frameworks such as PyTorch or TensorFlow. Proven experience training deep neural networks from scratch or via transfer learning. Exposure to LLMs – fine-tuning, prompt engineering, or training smaller transformer models. Familiarity with deployment of models using FastAPI, Flask, or similar. Preferred Qualifications: Experience with Hugging Face Transformers, LangChain, or similar frameworks. Knowledge of distributed training and GPU acceleration. Understanding of vector databases and RAG (retrieval-augmented generation) systems. Basic understanding of MLOps tools like Docker, Kubernetes, and CI/CD for ML workflows. Familiarity with common NLP tasks: text classification, summarization, NER, etc. What We Offer: A fast-paced, collaborative, and intellectually challenging environment. Opportunity to work on cutting-edge AI products and infrastructure. Flexible work options and a strong focus on work-life balance. Competitive compensation and equity options (if applicable).

Job Title: Technical Architect Generative AI Experience: 1418 Years Location: Noida Employment Type: Full-Time Job Summary: We are looking for a hands-on Technical Architect Generative AI to lead the design and implementation of AI-driven solutions across cloud-native environments. This role requires deep expertise in GenAI models, LLMs, Python, .NET Core, and Azure. The ideal candidate will actively contribute to coding, solution architecture, PoCs, and guide teams in applying GenAI to real-world business scenarios. Key Responsibilities: AI & Application Development Design and implement GenAI use cases (e.g., document summarization, conversational agents, RAG pipelines). Build and integrate LLMs using Python and Azure AI services. Develop scalable backend services with .NET Core Web APIs . Create modern frontends using Angular (13+) or React . Build PoCs and AI accelerators for enterprise-grade use cases. Architecture & System Design Architect and lead implementation of GenAI/LLM-based solutions on Azure . Build event-driven systems using Kafka, Azure Event Grid , or similar. Drive adoption of cloud-native patterns , security guidelines, and DevOps practices. Enforce code quality (SonarQube), security (Guiderails), and CI/CD pipelines. Stakeholder Collaboration Partner with product owners and business teams to translate workflows into GenAI-driven applications. Collaborate with other architects to define the AI/ML roadmap. Present architectural solutions and ROI-focused GenAI use cases to stakeholders. Leadership & Mentoring Conduct code reviews, performance tuning, and technical troubleshooting. Mentor developers on Python, .NET, LLM integration, and AI solution patterns. Contribute to knowledge sharing and technical upskilling across teams. Must-Have Skills: Programming & Frameworks Python : LLM integration, agentic frameworks, prompt engineering .NET Core : Web API, Entity Framework Angular 13+ / React , TypeScript Cloud & DevOps Azure AI Services : Cognitive Services, AI Builder, OpenAI/Foundry, Logic Apps Azure DevOps : CI/CD, Infrastructure-as-Code (ARM/Bicep) Event-driven architectures using Kafka/Event Grid AI/ML Expertise Generative AI, LLM fine-tuning, prompt design, RAG pipelines MLOps and integration of models in production environments Familiarity with tools like GitHub Copilot Qualifications: 1418 years of overall experience in software architecture and development At least 5+ years in AI/ML and cloud-native solutioning Bachelor's or Master's degree in Computer Science, Engineering, or related field Preferred: Azure Solutions Architect Expert or similar certifications Proven experience in enterprise-scale AI implementations (GitHub/GitLab links are a plus) Soft Skills: Strong communicator with ability to present technical ideas to stakeholders Team leadership and Agile methodology experience Innovation mindset and problem-solving orientation Reach Out: 9045052073

Role & responsibilities Hands-on programming and capabilities in Python, Java, R, or SCALA Experience in Enterprise applications development (Java, . Net) Experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc. ) Strong hands-on experience with statistical packages and ML libraries (e. g. R, Python scikit learn, Spark MLlib, etc. ) Experience in effective data exploration and visualization (e. g. Excel, Power BI, Tableau, Qlik, etc. ) Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc. ) Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra, Hbase, Hive, HDFS Experience with open source software. Additional Requirements Defining, designing and delivering ML patterns operable in native and hybrid cloud architectures. Research, analyze, recommend and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio Basic knowledge in LLM butAI, NLP and deep learning should be strong Good with Associate architect or solution architect but no for Technical Lead. Hands on experience on Docker. Building docker images with a model and all its dependent packages into the image. Excellent problem-solving skills and ability to break down complexity. Ability to see multiple solutions to problems and choose the right one for the situation. Excellent written and oral communication skills. Demonstrated technical expertise around architecting solutions aroundAI, ML, deep learning and related technologies. DevelopingAI/ML models in real-world environments and integratingAI/ML using Cloud native or hybrid technologies into large-scale enterprise applications. In-depth experience inAI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solution and their interdependencies. Specializes in at least one of theAI/ML stack (Frameworks and tools like MxNET and Tensorflow, ML platform such as Amazon SageMaker for data scientists, API-drivenAIServices like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call). Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning.

At Xerago, we believe in empowering individuals to script their own success stories as an AI Engineer. You will design, develop, and maintain sophisticated AI solutions, driving our application-engineering department forward with your proficiency in AI, ML, and Python. Your impact on organizational growth comes from successful deployment of AI solutions, accurate machine learning models, and efficient data processing. Collaborate with cross-functional teams to achieve project goals, while mentoring junior engineers when required. Technical Responsibilities: - Design, develop, and maintain sophisticated AI solutions within the application-engineering department using Python, AI, ML, LLM, and data mining. - Implement predictive modeling and machine learning algorithms to drive business impact, with a focus on efficiency and accuracy of data processing. - Leverage expertise in big data frameworks such as Hadoop and Spark for large-scale data analysis and processing tasks. - Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring compatibility and seamless integration. Additional Technical Expectations: - Pursue relevant certifications such as TensorFlow Developer, AWS Certified Machine Learning Specialty, or equivalent credentials to stay updated on industry trends and best practices. - Demonstrate a commitment to producing high-quality work that exceeds client expectations, contributing to Xerago's reputation for innovation. Leadership Scope (not applicable for this role): - Managerial responsibilities are minimal in this role; however, the AI Engineer may be required to mentor junior engineers when necessary. - The ideal candidate should possess strong problem-solving skills, an ability to communicate complex technical concepts effectively, and a willingness to share knowledge within their team. Qualification: 1. Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on AI and machine learning. 2. Strong expertise in Python, particularly in deep learning libraries such as TensorFlow and PyTorch (MUST Note: For fresher suggest Proficiency, for Experience show Strong Expertise). 3. Good to have knowledge in Natural Language Processing (NLP) and Robotics, specifically ROS (Robot Operating System). 4. AWS Certified Machine Learning Specialty (Good to have) 5. TensorFlow Developer (Good to have) 6. Strong communication, teamwork, adaptability, problem-solving, and mentoring abilities