4415 Artificial Intelligence Jobs - Page 40

About The Role Senior AI Engineer At Codvo, software and people transformations go hand-in-hand We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking About the Role: We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions Responsibilities: Generative AI Pipeline Development: Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines Data and Document Ingestion: Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines Ensure data quality, consistency, and security throughout the ingestion process AI Service Integration: Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications Develop and maintain APIs for seamless communication between AI services and backend systems Monitor and optimize the performance of integrated AI services within the Generative AI pipeline Retrieval Augmented Generation (RAG) Pipelines: Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI Evaluate and improve the accuracy and relevance of RAG-generated responses in the context of Generative AI applications Large Language Model (LLM) Integration: Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelines Implement prompt engineering strategies to optimize LLM performance for specific Generative AI tasks Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications Backend Services Ownership: Design, develop, and maintain backend services that support Generative AI applications Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads Implement monitoring and logging systems for backend services and pipelines supporting Generative AI Troubleshoot and resolve backend-related issues impacting Generative AI applications Required Skills and Qualifications: EducationBachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems Proven experience in designing and implementing data ingestion and processing pipelines 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 Strong understanding of AI infrastructure and deployment strategies Experience with data engineering and data processing techniques Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Experience with version control (Git) Experience with RESTful APIs and API development Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval Generative AI Specific Skills: Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs) Experience with integrating and managing Generative AI services Understanding of RAG pipelines and their application in Generative AI Experience with prompt engineering for LLMs in Generative AI contexts Soft Skills: Strong problem-solving and analytical skills Excellent communication and collaboration skills Ability to work in a fast-paced environment Preferred Qualifications: Experience with OCR and document processing technologies Experience with MLOps practices for Generative AI Contributions to open-source AI projects Strong experience with vector databases and their optimization for Generative AI applications Experience 5+ years Shift Time 2:30PM to 11:30PM Show more Show less

We’re a forward-thinking team building cutting-edge AI/ML solutions that power intelligent systems and drive real-world impact. We value curiosity, innovation, and a passion for artificial intelligence. Roles and Responsibilities Design, develop, and deploy machine learning and artificial intelligence models into production systems. Build and maintain scalable data pipelines, feature stores, and model training workflows. Implement MLOps best practices: containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Optimize performance and reliability of AI systems, including model versioning, performance monitoring, and automated retraining. Collaborate with cross-functional teams—data scientists, software engineers, DevOps—to integrate models into products. Ensure code quality, reproducibility, security, and compliance across the ML lifecycle. Required Experience & Skills 3–5 years in software engineering, ML engineering, or AI-focused roles. Proficiency in Python for ML development, scripting, and automation. Strong grasp of machine learning concepts, algorithms, and evaluation methodologies. Practical experience with popular ML frameworks: TensorFlow, PyTorch, scikit-learn. Hands-on with MLOps technologies: CI/CD (e.g., Jenkins, GitLab CI), containerization (Docker), orchestration (Kubernetes). Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools (MLflow, Kubeflow, Airflow). Skilled in monitoring solutions (Prometheus, Grafana) and version control (Git, DVC, MLflow). Excellent problem-solving, communication, and collaboration skills.

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 5 years of dedicated experience in various data science-related roles in the industry. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

1.2–4 years of experience in data science and machine learning using Python. 2.Strong knowledge of libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch. 3.Hands-on experience with LLMs, NLP tasks, and fine-tuning/pretraining models. Required Candidate profile 1.Familiarity with AI/ML deployment and performance tuning. 2.Experience working with REST APIs, JSON, and integration of ML models into applications.

Location: Remote Timings: Full Time (As per company timings) Notice Period: (Immediate Joiner - Only) Experience: 4 Years Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Role: Software DeveloperLocation BangaloreRole Overview: Microlands AI-CoE is looking for talented and experienced Full stack developers with a passion for building innovative and intelligent back-end systems to join our growing team and contribute to the development of cutting-edge AI applications. Responsibilities: Develop and maintain high-quality scalable and robust back-end components for AI-based applications. Collaborating on feature design and implementation. Implement and optimize data storage solutions, RESTful APIs, and server-side logic. Integrating various AI models into new/existing applications. Design and maintain databases ensuring high performance, reliability, and security. Writing secure, clean, modular, maintainable, and well-documented code and optimizing it for performance and scalability. Adaptability to new skills and technologies, staying current with industry trends and best practices, and rapid prototyping are crucial. Technical Skills: Strong Programming skills in Python/C#/Rust Proficiency with Python web-frameworks like Flask, Django, FastAPI, etc. Expertise in Database implementations (MySQL, PostgreSQL, MongoDB, Vector DBs, etc.) Expertise in creating RESTful APIs and modern back-end build pipelines. Ability to host the backend-end components as Docker containers or in a Kubernetes environment. Familiarity with System Architecture and Design. Awareness of various ML concepts and AI models, ability to leverage and integrate them into applications Familiarity with DevOps pipelines for CI/CD. Strong Problem-Solving Skills and an attention to details. Familiarity with Cloud computing and infrastructure, ability to employ cloud-based services.

Job Summary At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open-source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies. The AI Core Components organization, part of AI Engineering, is looking for individuals with a passion for Open Source, automation and helping grow the impact of Red Hats AI offerings for our customers and the community. As a Staff Engineer youd be a person with deep expertise in Machine Learning systems and tools, relentless curiosity, and a bias for action. This role is ideal for someone who thrives at the intersection of AI innovation and engineering excellence and is passionate about boosting engineering productivity through the intelligent use of the latest AI advancements. What you will do Prototype with PurposeRapidly build PoCs using the latest AI models and frameworks to enhance developer workflows across the PyTorch engineering lifecycle (code, test, document, debug, optimize). Bridge Industry & ImplementationEvaluate innovations from open source, academia, and industry and assess how they can improve the way PyTorch is built and maintained. Drive Developer ProductivityCreate intelligent tools that support faster iteration, better testing, and smoother onboarding for PyTorch engineersturning AI into leverage. Embed in the TeamWork alongside core PyTorch engineers to understand friction points and infuse AI-powered solutions into existing workflows and CI pipelines. Lead by InfluenceSet technical direction in the space of AI-enhanced engineering productivity. Act as a multiplier for the teammentoring, demoing, writing internal blogs, and making innovation accessible. Contribute to the PyTorch EcosystemYour work will extend to open-source tooling or enhancements that benefit the broader PyTorch community. What you will bring 8+ years of experience in machine learning, software engineering, or systems design, with significant exposure to AI/ML infrastructure. Deep understanding of LLMs, AI agents, vector search, prompt engineering, and developer productivity tools. Strong Python programming skills and experience with PyTorch, Hugging Face Transformers, LangChain, vLLM, or OpenAI/Anthropic APIs. Demonstrated ability to build fast, impactful prototypes that lead to production-ready tools. Experience improving engineering workflows through AI toolscode generation, automated test generation, bug triage, documentation assistants, etc. Familiarity with modern software engineering practicesCI/CD, DevOps, VS Code extensions, or internal tooling development. Collaborative mindset and excellent communication skillscomfortable working with developers, QE, product managers, and leadership. Nice to have Contributions to PyTorch or other open-source ML/AI frameworks. Experience building developer tools or productivity platforms within ML orgs. Familiarity with AI use cases in systems optimization, model compilation, or hardware acceleration. Exposure to long-context transformer models and techniques like EasyContext, NoLiMa, or KV-cache paging. About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

About the Job: Be the expert customers turn to when they need to build strategic, scalable systems. Red Hat Services is looking for a well-rounded Architect to join our team in Mumbai covering Asia Pacific. In this role, you will design and implement modern platforms, onboard and build cloud-native applications, and lead architecture engagements using the latest open source technologies. Youll be part of a team of consultants who are leaders in open hybrid cloud, platform modernisation, automation, and emerging practices - including foundational AI integration. Working in agile teams alongside our customers, youll build, test, and iterate on innovative prototypes that drive real business outcomes. This role is ideal for architects who can work across application, infrastructure, and modern AI-enabling platforms like Red Hat OpenShift AI. If you're passionate about open source, building solutions that scale, and shaping the future of how enterprises innovate this is your opportunity. What will you do: Design and implement modern platform architectures with a strong understanding of Red Hat OpenShift, container orchestration, and automation at scale. Strong experience in managing Day-2 operations of Kubernetes container platforms by collaborating with infrastructure teams in defining practices for platform deployment, platform hardening, platform observability, monitoring and alerting, capacity management, scalability, resiliency, security operations. Lead the discovery, architecture, and delivery of modern platforms and cloud-native applications, using technologies such as containers, APIs, microservices, and DevSecOps patterns. Collaborate with customer teams to co-create AI-ready platforms, enabling future use cases with foundational knowledge of AI/ML workloads. Remain hands-on with development and implementation especially in prototyping, MVP creation, and agile iterative delivery. Present strategic roadmaps and architectural visions to customer stakeholders, from engineers to executives. Support technical presales efforts, workshops, and proofs of concept, bringing in business context and value-first thinking. Create reusable reference architectures, best practices, and delivery models, and mentor others in applying them. Contribute to the development of standard consulting offerings, frameworks, and capability playbooks. What will you bring Strong experience with Kubernetes, Docker, and Red Hat OpenShift or equivalent platforms In-depth expertise in managing multiple Kubernetes clusters across multi-cloud environments. Proven expertise in operationalisation of Kubernetes container platform through the adoption of Service Mesh, GitOps principles, and Serverless frameworks Migrating from XKS to OpenShift Proven leadership of modern software and platform transformation projects Hands-on coding experience in multiple languages (e.g., Java, Python, Go) Experience with infrastructure as code, automation tools, and CI/CD pipelines Practical understanding of microservices, API design, and DevOps practices Applied experience with agile, scrum, and cross-functional team collaboration Ability to advise customers on platform and application modernisation, with awareness of how platforms support emerging AI use cases. Excellent communication and facilitation skills with both technical and business audiences Willingness to travel up to 40% of the time Nice to Have Experience with Red Hat OpenShift AI, Open Data Hub, or similar MLOps platforms Foundational understanding of AI/ML, including containerized AI workloads, model deployment, open source AI frameworks Familiarity with AI architectures (e.g., RAG, model inference, GPU-aware scheduling) Engagement in open source communities or contributor background About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Roles and Responsibility Design, develop, and maintain high-quality front-end applications using HTML, CSS, JavaScript, and related technologies. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and implement responsive and interactive user interfaces using modern front-end frameworks and libraries. Troubleshoot and debug complex front-end issues using various debugging tools and techniques. Participate in code reviews and contribute to improving overall code quality. Stay up-to-date with industry trends and emerging technologies in front-end development. Job Requirements Strong proficiency in HTML, CSS, JavaScript, and related front-end development technologies. Experience with modern front-end frameworks such as React or Angular. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with colleagues and stakeholders. Strong understanding of software development principles, patterns, and best practices. Familiarity with version control systems such as Git.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Job Mode Onsite/Work from Office | Monday to Friday | Shift 1 (Morning). Overview : We are seeking an experienced Team Lead to oversee our data engineering and analytics team consisting of data engineers, ML engineers, reporting engineers, and data/business analysts. The ideal candidate will drive end-to-end data solutions from data lake and data warehouse implementations to advanced analytics and AI/ML projects, ensuring timely delivery and quality standards. Key Responsibilities : - Lead and mentor a cross-functional team of data professionals including data engineers, ML engineers, reporting engineers, and data/business analysts. - Manage the complete lifecycle of data projects from requirements gathering to implementation and maintenance. - Develop detailed project estimates and allocate work effectively among team members based on skills and capacity. - Implement and maintain data architectures including data lakes, data warehouses, and lakehouse solutions. - Review team deliverables for quality, adherence to best practices, and performance optimization. - Hold team members accountable for timelines and quality standards through regular check-ins and performance tracking. - Translate business requirements into technical specifications and actionable tasks. - Collaborate with clients and internal stakeholders to understand business needs and define solution approaches. - Ensure proper documentation of processes, architectures, and code. Technical Requirements : - Strong understanding of data engineering fundamentals including ETL/ELT processes, data modeling, and pipeline development. - Proficiency in SQL and data warehousing concepts including dimensional modeling and optimization techniques. - Experience with big data technologies and distributed computing frameworks. - Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) and their respective data services. - Knowledge of on-premises data infrastructure setup and maintenance. - Understanding of data governance, security, and compliance requirements. - Familiarity with AI/ML workflows and deployment patterns. - Experience with BI and reporting tools for data visualization and insights delivery. Management Skills : - Proven experience leading technical teams of 4+ members. - Strong project estimation and resource allocation capabilities. - Excellent code and design review skills. - Ability to manage competing priorities and deliver projects on schedule. - Effective communication skills to bridge technical concepts with business objectives. - Problem-solving mindset with the ability to remove blockers for the team. Qualifications : - Bachelor's degree in Computer Science, Information Technology, or related field; - 5+ years of experience in data engineering or related roles. - 2+ years of team leadership or management experience. - Demonstrated success in delivering complex data projects. - Certification in relevant cloud platforms or data technologies is a plus. What We Offer : - Opportunity to lead cutting-edge data projects for diverse clients. - Professional development and technical growth path. - A collaborative work environment that values innovation. - Competitive salary and benefits package.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Work Location: Chennai/ Bangalore Shift: General Shift Mandatory Skills: Gen AI, LLM, RAG, Lang chain, Llama, AI/ML, Deep Learning, Python, Tensorflow, Pytorch, Pandas, Prompt Engineering, Vector DB, MLOps Preferred Skills: AWS or GCP or Azure Cloud, GPT-4, SQL, Fast API/ API Development, Docker/ Kubernetes, Hadoop, Spark or Apache Flink Data Pipeline, Banking exposure. Job Description / Roles & Responsibilities (in Detail) : Educational Background: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Programming Languages: Proficiency in Python, R, API development - Python/Fast API. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras etc. Gen AI & RAG: Experinced in GEN AI Models, Langchain/Langflow and Prompt Engineering Machine Learning: Strong understanding of machine learning algorithms, Deep Learning / Neural networks & Transfer Learning, Data Science: Experience with data analysis, data visualization, and statistical modeling. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink or similar Data pipelines. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions if good to have. Awareness on applied statistics, Experinced in Algorithms, Model development / evaluation and Data Preprocessing Exposure to ML Ops & Awareness of Containerisation with Docker/ Kubernetes Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Sr.Analyst Instructional Designer (Tech Content Strategist) – AI/ML Job Overview Are you a certified AI/ML professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a principal – Tech Content Strategist, you will lead the end-to-end development of engaging, instructionally sound learning experiences in the AI/ML domain. Acting as a subject matter expert (SME), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review and iterate—for AI/ML Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., Azure, CompTIA, AWS Certified, Microsoft Certified) and learner performance outcomes. Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization while maintaining content quality. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers. Skills Required Minimum 5+ years of hands-on experience in AI/ML, including practical exposure to Generative AI. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distill complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills: Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) is an added advantage. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data.

Understand the full development lifecycle delivering user-centred digital solutions Design, implement, and maintain test plans for new and existing projects Candidate should have done the software Integration Design, implement and develop new project Required Candidate profile Minimum 3 years experience in software integration Logistics domain will add value Strong working knowledge of: React, Tailwind CSS, Next.js, PostgreSQL Git workflows, RESTful APIs, CI/CD pipelines

We are building cutting-edge software and data workflows to identify and analyze the exposure and impact to climate change and financially relevant ESG risks. We leverage artificial intelligence (AI) and alternative data to deliver dynamic investment-relevant insights to power your investment decisions. Clients from across the capital ecosystem use our integrated data, analytical tools, indexes and insights for a clear view of the impact of ESG and Climate risks to their investment portfolios. We are seeking an outstanding Software Engineer to join our ESG&Climate Application Development team in the Pune/Mumbai or Budapest offices. As part of a global team you will collaborate in in cross-functional teams to build and improve our industry-leading ESG and Climate solutions. Your Key Responsibilities Design, develop, test, and maintain software applications to meet project requirements. Collaborate with product managers and other stakeholders to gather and refine requirements Participate in code reviews to maintain high coding standards and best practices. Troubleshoot and debug applications to resolve issues and improve performance. Document software designs, architectures, and processes for future reference. Support deployment and integration activities to ensure smooth implementation of software solutions Your skills and experience that will help you excel Expected: Bachelor s degree in computer science, Mathematics, Engineering, related field, or equivalent experience Strong communication, interpersonal and problem-solving skills Good hands-on working experience in Python or Java Experience building RESTful Web Services using Fast API, Django or Flask. Good Understanding and hands on experience with SQL/NoSQL Databases Good understanding of the importance of testing in software development and the usage of unit testing framework like pytest/unittest. Hands on cloud technologies Google or Azure preferred and experience in developing and managing microservices on cloud. Experience with Source code control systems, especially Git. Preferred: Hands on experience with data engineering technologies like Azure Databricks, Spark, or similar framework Some DevOps experience, knowledge of security best practices. Exposure to use of AI, LLM to solve business problems is added advantage.\ What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall we'llbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followe'd by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum.

Play a critical role in shaping the next generation of AMD products, including CPUs, GPUs, and adaptive compute engines. Interface with large, globally distributed design teams to support complex and collaborative development efforts. Drive automation of Functional ECO methodologies targeting advanced technology nodes. Own the development and support of next-generation synthesis flows, ensuring scalability and efficiency across projects. Collaborate closely with EDA vendors to identify innovative solutions, resolve tool/methodology issues, and enhance flow capabilities. Contribute to the evolution of AMD s design infrastructure by improving automation, performance, and methodology robustness. THE PERSON: You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites and timezones. You have an automation mindset with strong analytical and problem-solving skills, willingness to learn and ready to take on problems. KEY RESPONSIBILITIES: Responsible for developing and automating Functional ECO, Synthesize and PnR flows for various designs at advanced technology nodes. Script out utilities to automate different components of the implementation flow. Support design teams across global sites on various issues related to Front-End Synthesis flow targets. CAD flow and methodology development on advanced process nodes are preferred. PREFERRED EXPERIENCE: Hands on experience in Conformal ECO, Formal Eqv and Front-End Synthesis flows. Hands on experience in industry standard tools such as Conformal, DC, Fusion Compiler, FM,VCLP, ICC2 and Innovus . Hands on experience in any of PnR, STA, Formal Verification or RTL coding domains is a plus. CAD and automation mindset ACADEMIC CREDENTIALS: Bachelor s or M aster s degree in computer engineering/Electrical Engineering with 3+Yrs of exp

Responsibilities : Build and deploy GenAI applications using LLMs, prompt engineering, and RAG frameworks. Hands-on with prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Utilize AI tools to analyze complex legacy systems, identify business logic, dependencies, and potential risks associated with migration. Integrate APIs like OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for prompt handling, embeddings, vector search, etc. Collaborate with designers, BAs, and QA teams to iterate on MVPs and features. Optimize performance, prompt quality, and latency in GenAI pipelines. Requirements : Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and tools. Role & responsibilities

Hiring for AI Developer Position: Full time location: Pan INDIA Intrested candidates share cv to mansoor@burgeonits.com Job Description: We are seeking an AI Developer experienced in designing, building, and deploying AI solutions using Microsoft Azure. The ideal candidate should be comfortable working with Azure AI services, MLOps tools, and Microsoft's machine learning ecosystem. Responsibilities: Design and develop AI/ML models using Azure Machine Learning Leverage Azure Cognitive Services (Vision, Speech, Language, etc.) to deliver intelligent features Develop and automate ML pipelines using Azure ML, Azure Data Factory, and Azure DevOps Work with Azure Databricks for data processing and model training Collaborate with business and tech stakeholders to deliver AI-powered solutions Required Skills: Strong knowledge of Python and Azure ML SDK Hands-on experience with Azure AI tools: Azure Machine Learning, Cognitive Services, Bot Framework Experience with MLOps, CI/CD in Azure (Pipelines, ML Ops) Proficiency in working with Azure Blob, Data Lake, and SQL Database Strong understanding of responsible AI principles and governance Kindly please fill the below details & share updated cv to mansoor@burgeonits.com Name as per Aadhar card Mobile no Alternate no Email id Alternate email (Because most of the mail is showing duplicate portal) Date Of Birth Pan card no(for client upload)mandatory* Total Exp Rev Exp Current company If any payroll (Name) Notice Period (If Serving any Np , Mention last working day & year) CCTC ECTC If Any offers (Yes/No) If yes how much offer &when joining date Current location & Preferred Location Happy to relocate(Yes/No) Available Interview time slots

Product Management - Product Manager - First Games : Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: Our team thrives on collaboration, innovation, and a passion for excellence. We believe in open communication, continuous learning, and supporting each other to achieve our goals. The team consists of marketing strategists, content creators, social media experts, and data analysts. Join our team, where creativity meets strategy to drive our brand forward and engage our audience. About the role: We are seeking an Associate Product Manager who is passionate about solving complex problems and driving innovation in the gaming industry. This role requires a strong blend of analytical skills, strategic thinking, and effective communication. A deep understanding of AI tools and chatbots is a significant advantage. Key Responsibilities: Problem Identification & PrioritizationUtilize data-driven insights and customer feedback to identify critical pain points and prioritize solutions that deliver maximum impact. Customer EmpathyDevelop a deep understanding of user needs through qualitative and quantitative research methods, such as user interviews, surveys, and analytics. Solution DiscoveryCollaborate with cross-functional teams to ideate, prototype, and validate innovative solutions, leveraging AI and chatbot technologies where appropriate. Product DeliveryDefine clear product requirements, and work closely with engineering, design, and business teams to ensure timely and high-quality product launches. Go-to-Market StrategyDevelop and execute effective go-to-market strategies, including marketing plans, pricing strategies, and launch campaigns. Product Adoption & PerformanceTrack key product metrics, analyze user behavior, and implement strategies to optimize user experience and drive adoption. Qualifications: 2-3 years of product management experience in a fast-paced startup environment Strong analytical skills and a data-driven approach to decision-making Excellent communication and interpersonal skills to effectively collaborate with diverse teams Passion for gaming and a deep understanding of the gaming industry Familiarity with AI technologies and their application in enhancing user experience. Ability to thrive in a dynamic and ambiguous environment Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals If you are a highly motivated individual with a passion for innovation and a knack for solving complex problems, we encourage you to apply.