58 Finetuning Jobs - Page 2

As a SAP C4C Functional Specialist at MKS, you will be responsible for leveraging your 4 to 8 years of experience in SAP Products, Technologies, and Modules, particularly focusing on SAP C4C (Cloud for Customer) and SAP C/4 HANA Sales, Service & Marketing Cloud. Your expertise will be utilized in various areas including implementation, support, integration, designing, configuring, customizing, and testing C4C within SAP C4C. You will play a key role in large-scale Cross-Functional projects and ensure seamless integration of C4C System with SAP ERP and Non-SAP systems. Your responsibilities will include handling C4C Sales Management activities such as Territories, Leads, Opportunities, Quotations, Sales Orders, Accounts, Contacts, Activities, and Pricing. Additionally, you will be involved in Services Management tasks like configuring Communication Channels, Knowledge Base, Registered Products, Contracts, Tickets, Resource Scheduler, Visits, Service Quotations, spare parts, repairs, Lifecycle, Response Templates, and Case Management. Your role will also encompass administration activities, data load activities, and utilizing Key User Tools (KUT) for Extensions, Layouts, Business Roles, Restrictions, Workflow Rules, Custom Objects, and Mashups. To excel in this role, you must hold a Certified C4C Associate Sales and Service cloud certification and have a strong grasp of agile project methodologies. Your ability to work effectively in a global company with highly integrated systems environments, coupled with your strong interpersonal skills and innovative mindset, will be crucial. You will be required to design and prepare Mashups, Reports, and Dashboards, and must possess a Bachelor's degree along with 5+ years of relevant work experience. MKS is an equal opportunity employer that values diversity and inclusion. However, certain positions may require access to controlled goods and technologies subject to regulations such as ITAR or EAR, necessitating applicants to be U.S. persons as defined by the regulations. MKS is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require an accommodation during the application or interview process, please reach out to accommodationsatMKS@mksinst.com. If you are interested in applying for this role, please include the requisition number (ex: RXXXX), the title, and location of the position.,

You should have a strong hold on the Software Development Life Cycle (SDLC), Python Scripting, and AI packages. Your conceptual knowledge should include GenAI techniques such as Prompt engineering (Template, Curation, modification) and various foundation models related to text, image, video, and other data. Experience in DNN module training & Integration, CNN, Transformer/RNN is essential. You should also possess GenAI knowledge in LLM, Multimodal Models (Stable diffusion/Autoregression/Diffusion Transformer) to utilize World Foundation model and peripheral development effectively. Additionally, familiarity with Finetuning (Transfer learning) techniques for Multimodal Foundation models and Multi-modal Data pipeline (Cleaning, augmentation, embedding creation) is required. Data pruning/Curation and labeling with respect to AI training and validation is also part of the responsibilities. Knowledge of AD domain including domain stack components, Features, Sensor configuration, Format, and types of Annotations required for various components in the stack for development/testing, Validation is necessary. Proficiency in Python, GENAI, DNN, CNN, LLM is a must. Experience in Automotive, ADAS, and AD Domain will be beneficial for this role.,

As a Developer at our company, you will have the opportunity to contribute to building something significant. We value skills and passion over formal education or previous experience. If you have the talent, drive, and a mindset focused on execution, we want you on our team. It's important to note that this is not a salaried position initially; instead, it is equity-based. You will play a crucial role as a founding team member, not just an employee. Your responsibilities will include actively participating in the development of Hustlr AI from its Minimum Viable Product (MVP) stage to a full Software as a Service (SaaS) product. Our work environment may seem chaotic, but it is a chaos with a clear mission. We value honesty and direct communication - no sugar-coating, both with our users and within the team. We prioritize real progress over empty achievements; every action should contribute towards our goals. Having an ownership mindset is crucial in our team - we expect you to take full responsibility for your work without constant guidance. Speed and adaptability are key traits; we believe in quick iterations, learning from failures, and continuous improvement. Your skills in full-stack development, including React/Next.js, Node.js, and Firebase/DB, as well as knowledge in AI/ML technologies such as working with LLMs like OpenAI, fine-tuning, and various AI models are essential. A product-oriented mindset is valued, focusing not only on code but also on user experience, scalability, and product-market fit. While not mandatory, skills in cloud deployment (AWS/GCP/Azure, Docker), experience in startups or SaaS businesses, and a good sense of UI/UX design are considered advantageous. We are more interested in your abilities and dedication than your past experiences. If you are passionate about building something impactful and possess the necessary skills, we encourage you to apply. However, if you lack the drive and commitment to contribute to something big, this opportunity may not be the right fit for you.,

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

About the role You will be part of a team that is dedicated to developing AI-powered solutions for the media industry, ranging from intelligent workflow automation to smart content analysis and creative assistance. Your primary responsibility will be to work with cutting-edge AI models, conduct research, train, adapt, and integrate them into tools that address real challenges within the media sector. Your tasks will involve working across various AI domains, constructing systems that aid our teams in generating, organizing, processing, and delivering media content more efficiently and effectively. What you'll do - Research and assess state-of-the-art AI/ML models suitable for diverse media workflows. - Train, fine-tune, and adjust models to fulfill accuracy, speed, and scalability requirements. - Incorporate APIs and custom-trained models into end-to-end automated pipelines. - Create orchestration flows, for instance, using n8n, to manage multi-step processes from input to output. - Develop dashboards and interfaces to oversee, control, and optimize AI-driven tasks. - Implement authentication, job tracking, logging, and error-handling systems. - Collaborate closely with media operations and product teams to pinpoint automation opportunities. What you bring We are seeking an individual with the following qualifications: - Proficient in Python with a proven track record of developing maintainable, production-ready code. - Experience working with AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies. - Skilled in model training, fine-tuning, and evaluation. - Familiarity with AI APIs like OpenAI, Anthropic, Hugging Face, etc. - Hands-on experience with workflow automation tools such as n8n, Airflow, or similar platforms. - Knowledge of Docker, asynchronous programming, cloud services, and API security. Why join us This is an opportunity to: - Influence the development of AI tools for the future of media technology. - Be part of a small, dynamic team where your work has a fast turnaround time. - Make a direct impact on creative, operational, and technical workflows. - Have the freedom to explore and experiment with state-of-the-art AI solutions.,

As a Backend Engineer for our team, you will be a key player in the development of cutting-edge Agentic AI platforms. Your primary responsibility will be to design and implement scalable backend systems that empower autonomous AI agents to seamlessly integrate with enterprise systems and data platforms. You will have the opportunity to work with a diverse team of AI researchers, data scientists, and frontend developers on exciting technologies such as LLMs, multi-agent orchestration, prompt engineering, and real-time adaptive learning systems. Your main tasks will include designing, developing, and maintaining modular and scalable components for autonomous software agents. You will be expected to integrate backend services with modern LLM frameworks like LangChain, LangGraph, and CrewAI. Additionally, you will develop APIs, microservices, and orchestration pipelines to manage multi-agent workflows and contribute to business process automation and CRM integration. You will work closely with enterprise platforms such as Salesforce, Power Platform, and Microsoft Copilot Studio, fine-tuning large and small language models using proprietary datasets, especially from NBFC domains. Furthermore, you will collaborate with the AI teams on model evaluation and optimization pipelines using GCP, BigQuery, and related tools. Your role will also involve developing lightweight learning frameworks that enhance user interactions and implementing real-time models and rules-based decision engines for adaptive automation. You will work on features that enable agents to self-improve over time based on historical performance and results. To excel in this role, you must be proficient in Python and Node.js, with a working knowledge of JavaScript, Java, or React. Familiarity with technologies such as LangChain, LangGraph, Semantic Kernel, CrewAI, Agent Development Kit (ADK), and Multi-agent Communication Protocol (MCP) will be advantageous. Experience with RESTful APIs, WebSockets, Express.js, FastAPI, Microservice architecture, GCP, MS Azure, BigQuery, Power Apps, Power BI, CI/CD tools, containerization (Docker, Kubernetes), prompt engineering, model orchestration, LLM integration, and SQL/NoSQL databases is essential for success in this role. Join our team and be part of building the next generation of AI platforms that revolutionize the way businesses harness the power of artificial intelligence.,

You will be responsible for designing comprehensive architectures for GenAI applications using Azure OpenAI LLM. Your role will involve integrating RAG systems to enhance AI applications with contextually relevant data retrieval capabilities. It is essential to ensure that the solutions you design are scalable, cost-effective, and aligned with the business objectives. You will oversee the development and deployment of GenAI solutions on Azure, working closely with cross-functional teams including developers, client technical, and business teams. Collaborating with stakeholders, you will define technical requirements and business goals. You will need to present complex technical information in a clear and concise manner to non-technical stakeholders. As a qualified candidate, you should possess a minimum of 10 years of experience, with at least 5 years dedicated to AI and machine learning, focusing on solution architecture. Hands-on experience in deploying at least one end-to-end GenAI project is required. Your expertise should include proven experience with Azure OpenAI LLMs and its application in enterprise environments, as well as hands-on experience with Retrieval-Augmented Generation (RAG) systems. You should have a strong command of Azure cloud services and architecture, proficient programming skills in Python, and familiarity with AI development tools and libraries. Knowledge of AI model training, fine-tuning, and deployment processes is crucial. Additionally, you must possess excellent problem-solving and analytical skills, along with strong leadership and project management abilities. Effective communication and interpersonal skills are essential for this role.,

Data Science is about pioneering new approaches to help businesses answer critical questions by analyzing massive data sets. As a Senior Advisor on the Data Science Team in Bangalore, you will play a crucial role in shaping methodologies and models to extract meaningful insights from petabyte-scale data. Collaborating with experts, engineers, and academics, you will empower customers to derive valuable insights from large data sets. Your primary responsibilities will include contributing to business strategies, influencing decision-making through deep analysis, and providing actionable recommendations based on complex data interpretations. You will design processes to extract insights from unstructured data, develop predictive models and algorithms, and work closely with stakeholders to deliver actionable business insights. Key Responsibilities: - Collaborate with internal and external teams to understand customer needs and propose solutions - Engage with external clients to gather project requirements and share analytical insights - Conduct data exploration and preparation for model development and validation - Apply statistical, machine learning, and business intelligence techniques to deliver actionable insights - Solution, build, deploy, and monitor models effectively Requirements: - Minimum 8 years of experience in NLP, Machine Learning, Computer Vision, and GenAI - Proficiency in data visualization tools like Power BI, matplotlib, and plotly - Hands-on experience with CNN, LSTM, YOLO, SQL, Postgres SQL, PGVector, and ChromaDB - Strong understanding of MLOps and ML lifecycle management - Expertise in large language models, prompt engineering, and NLP tasks Desired Skills: - Knowledge of streaming/messaging frameworks like Kafka, RabbitMQ, ZeroMQ - Familiarity with cloud platforms such as AWS, Azure, GCP - Experience with web technologies and frameworks like HTTP, REST, GraphQL, Flask, Django - Proficiency in programming languages like Java or JavaScript Join Dell Technologies to work with cutting-edge technology and drive impactful change. We value diversity and are committed to providing an inclusive work environment where everyone can thrive and grow. If you are passionate about leveraging data science to make a difference, apply now and take the first step towards a rewarding career with us. Application closing date: 8 August 2025 Job ID: R260848,

We are looking for a highly motivated and skilled Generative AI (GenAI) Developer to join our dynamic team. You will be responsible for building and deploying GenAI solutions using large language models (LLMs) to address real-world business challenges. The role involves working with cross-functional teams, applying prompt engineering and fine-tuning techniques, and building scalable AI-driven applications. A strong foundation in machine learning, NLP, and a passion for emerging GenAI technologies is essential. Responsibilities Design, develop, and implement GenAI solutions using large language models (LLMs) to address specific business needs using Python. Collaborate with stakeholders to identify opportunities for GenAI integration and translate requirements into scalable solutions. Preprocess and analyze unstructured data (text, documents, etc.) for model training, fine-tuning, and evaluation. Apply prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques to optimize LLM outputs. Deploy GenAI models and APIs into production environments, ensuring performance, scalability, and reliability. Monitor and maintain deployed solutions, incorporating improvements based on feedback and real-world usage. Stay up to date with the latest advancements in GenAI, LLMs, and orchestration tools (e.g., LangChain, LlamaIndex). Write clean, maintainable, and well-documented code, and contribute to team-wide code reviews and best practices. Requirements: Minimum 2 years of relevant Proven experience as an AI Developer. Proficiency in Python. Good understanding multiple of Gen AI models (OpenAI, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc. Experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases (e.g., FAISS, Pinecone). Multi agents frameworks to create workflows. Langchain or similar tools like lamaindex, langgraph etc. Knowledge of Machine Learning frameworks, libraries, and tools. Excellent problem-solving skills and solution mindset. Strong communication and teamwork skills. Ability to work independently and manage ones time effectively. Experience with any of cloud platforms (AWS, GCP, Azure).,

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

You will be part of our team as a Researcher at Infosys Applied AI research team. Your role will involve designing, developing, and training transformer-based models for multiple-modality to support various AI-powered applications. You will experiment with different architectures, training techniques, and optimization methods to enhance the models" understanding and generative capabilities. Additionally, you will be responsible for innovating robust and scalable architectures to meet future requirements and troubleshooting model issues to ensure their robustness and adaptability. To qualify for this position, you should have at least 8 years of experience and hold a Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields (Ph.D. preferred). You must have proven experience in training models, particularly text and multi-modal models, along with a strong knowledge of transformer architectures and their underlying principles. Experience with model pre-training, fine-tuning, and distributed training is essential. Moreover, having one or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS) will be advantageous. By joining our team, you will have the opportunity to work on cutting-edge projects that are at the forefront of artificial intelligence. You will play a crucial role in contributing to groundbreaking advancements in NLP and AI while working in an innovative and dynamic environment. We offer competitive compensation and benefits package, along with a flexible work environment. While Bangalore is preferred, we are open to considering candidates from multiple locations in India.,

As an ideal candidate, you should have a strong grasp of the Software Development Life Cycle (SDLC), Python Scripting, and Artificial Intelligence (AI) packages. Your conceptual knowledge should extend to General Artificial Intelligence (GenAI) techniques, including Prompt engineering such as Template, Curation, and modification. You should be well-versed in various foundation models related to text, image, video, and other data. Experience in training and integrating Deep Neural Network (DNN) modules, Convolutional Neural Network (CNN), and Transformer/Recurrent Neural Network (RNN) is essential for this role. Additionally, you should possess GenAI knowledge concerning Large Language Models (LLM) and Multimodal Models like Stable diffusion, Autoregression, and Diffusion Transformer for utilizing World Foundation models and peripheral development. Your expertise should also include fine-tuning (Transfer learning) techniques for Multimodal Foundation models, as well as managing Multi-modal Data pipelines involving tasks like cleaning, augmentation, and creating embeddings. You should be familiar with Data pruning/Curation and labeling in the context of AI training and validation. Furthermore, a good understanding of the Autonomous Driving (AD) domain is required, encompassing knowledge of domain stack components, features, sensor configuration, and the format and types of annotations necessary for various components in the stack for development and testing. Your comprehensive skill set in these areas will be crucial for excelling in this position.,

The role of Product Manager at Lenskart involves managing the company's products to ensure alignment with short-term tactical and long-term strategic goals. Working alongside a team of engineers, content writers, animators, and designers, you will play a crucial role in guiding the product through various successful releases. A successful Product Manager embodies the philosophy that product strategy and vision are most impactful when supported by real user interactions and data analytics. Prioritizing a list of 10 items for the next release is key to ensuring effectiveness and timeliness. Collaboration with Engineering, Content developers, and other product managers is essential for identifying dependencies early on and facilitating a smooth release process. Believing that a Product Requirements Document (PRD) reflecting user needs leads to internal buy-in and enhanced productivity, you understand the value of a simple annotated wireframe over a lengthy document. Recognizing that the true success of a feature lies in its measurability, you are prepared to iterate and fine-tune features that may not initially meet expectations. In essence, you embody the spirit of being the CEO of your product. Ideal candidates for this role are passionate about product development in the internet and mobile space, as demonstrated through previous work experience or extracurricular activities. Possessing 2-5 years of Product Management experience in a D2C or e-commerce company is preferred, with additional experience in developing online product features related to Storefront, Search, Discovery, and Checkout considered advantageous. Hands-on expertise in building and scaling AI/ML-powered consumer products, coupled with a strong motivation to drive measurable impacts for end users, are qualities that will thrive in this role.,

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

You will be joining a technology-driven publishing and legal-tech organization that is currently enhancing its capabilities through advanced AI initiatives. As an experienced AI Solution Architect, your role will involve leading the design, development, and deployment of transformative AI projects. You will work closely with a proficient internal team skilled in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA. Your responsibilities will include architecting, planning, and delivering enterprise-grade AI solutions utilizing Vector Databases like FAISS and Chroma, RAG Pipelines (Retrieval-Augmented Generation), and LLM techniques such as Pre-training, Fine-tuning, and RLHF (Reinforcement Learning with Human Feedback). You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules into systems, and guide junior AI engineers and developers on technical aspects. To excel in this role, you should hold a Bachelors or Masters in Computer Science, Engineering, AI/ML, or related fields and have at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, RLHF techniques, and working with multi-tech teams is essential. Strong command over architecture principles, scalability, microservices, API-based integration, and excellent team leadership skills are also required. It would be advantageous if you have experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, Azure/AWS AI services, exposure to data pipelines, MLOps, AI governance, familiarity with enterprise software lifecycle, and DevSecOps practices. Prior experience in delivering a production-grade AI/NLP project with measurable impact is a plus. Stay updated on emerging AI trends and assess their relevance to business objectives to drive AI adoption across products and internal processes.,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,

NTT DATA is looking for a New Relic Architect to join their team in Noida, Uttar Pradesh (IN-UP), India. As a New Relic Architect, you will be responsible for monitoring and analyzing the infrastructure of New Relic, with at least 5 years of hands-on experience in New Relic Administration. You should have expertise in New Relic APM, Synthetics, Infrastructure, Insights, Mobile, and Browser environments. Your role will involve designing and implementing New Relic Architecture, handling alerts, generating performance reports, and utilizing New Relic APM features to identify performance bottlenecks in application code. Additionally, you will configure and fine-tune New Relic agents, dashboards, and alerts to provide comprehensive visibility into application performance, infrastructure, and end-user experience. You will conduct performance analysis and troubleshooting using New Relic's diagnostic tools, collaborating with cross-functional teams to ensure successful implementation and integration of observability solutions. It will be your responsibility to document the observability solution implementation process, configurations, and best practices. You should have exposure to integration methods such as web services and APIs, possess strong troubleshooting and analytical skills, and be able to collaborate with clients to understand their observability needs and develop strategies for effective monitoring and observability solutions using New Relic. Good communication and customer interaction skills are also essential for this role. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success, and is a leading provider of digital and AI infrastructure worldwide. NTT DATA is a part of the NTT Group, investing over $3.6 billion each year in R&D to support organizations and society in moving confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As an AI/ML Engineer Generative AI Specialist with over 5 years of experience, you will be expected to possess the following must-have skills: You should have a strong background in AI/ML frameworks such as PyTorch, TensorFlow, and proficient in Python programming. Your experience with AWS services, specifically AWS Bedrock and Lambda functions, will be crucial. Hands-on expertise in LangChain components (agents, chains, memories, parsers, document loaders), developing and optimizing GenAI, NLP models, and CrewAI is essential for this role. You should be capable of building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Llama, and llamaparse. Advanced prompt engineering techniques like Chain of Thought (CoT) prompting should be within your skill set. Additionally, experience with Docker, CI/CD pipelines, YML files, and GitHub repository management is required. A strong understanding of system design principles, focusing on security, scalability, and performance optimization, is a must. Good-to-have skills include experience in responsible AI practices, knowledge of event-driven architecture, and familiarity with cloud deployments and Kubernetes. Experience with large-scale AI model training and fine-tuning would be beneficial. Your key responsibilities will involve designing and implementing AI/ML solutions using cutting-edge technologies to ensure scalability, efficiency, and alignment with business objectives. You will be responsible for developing and optimizing LangChain components, CrewAI, GenAI, and NLP models customized to specific applications. Building and deploying production-ready RAG systems, chatbots, and AI-driven applications utilizing OpenAI APIs, Ollama, Llama, and llamaparse will be part of your role. Leveraging AWS Bedrock and other AWS services to deliver high-performance AI solutions is crucial. You will need to apply prompt engineering techniques like Chain of Thought (CoT) prompting to enhance AI interactions, maintain CI/CD pipelines, manage YML files, and utilize GitHub for version control. Implementing containerization using Docker and deploying AI solutions in cloud environments will also fall under your responsibilities. Ensuring that solutions adhere to best practices in system design, focusing on security, performance, and efficiency considerations is essential. You will also need to incorporate responsible AI practices and ensure compliance with ethical AI guidelines. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effective communication of complex technical concepts to both technical and non-technical stakeholders will be expected from you.,

You will be joining a technology-driven publishing and legal-tech organization that is currently expanding its capabilities through advanced AI initiatives. With a strong internal team proficient in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA, we are seeking an experienced AI Solution Architect to lead the design, development, and deployment of transformative AI projects. As an AI Solution Architect, you will play a critical role in designing and delivering enterprise-grade AI solutions. Your responsibilities will include architecting, planning, and implementing AI solutions using Vector Databases, RAG Pipelines, and LLM techniques. You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules, evaluate AI frameworks, and mentor junior AI engineers and developers. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related fields, along with at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, and RLHF techniques is essential. You should also have experience working with multi-tech teams, strong command over architecture principles, and excellent team leadership skills. Experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, and Azure/AWS AI services would be a plus. Exposure to data pipelines, MLOps, and AI governance, as well as familiarity with enterprise software lifecycle and DevSecOps practices, are also desirable. If you are passionate about AI technology, have a proven track record of delivering AI projects, and enjoy leading and mentoring technical teams, we encourage you to apply for this exciting opportunity to drive AI adoption across products and internal processes.,

As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Your responsibilities will include establishing and promoting a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. You will lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Additionally, you will create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques, and gain experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. You will advise on the strategy and development of multiple products, applications, and technologies, serving as a lead advisor on the technical feasibility and business need for AIML use cases. Furthermore, you will liaise with firm-wide AI ML stakeholders, translating highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements. You will also influence across business, product, and technology teams and successfully manage senior stakeholder relationships, championing the firm's culture of diversity, opportunity, inclusion, and respect. To be successful in this role, you must have formal training or certification on Machine Learning concepts and at least 10 years of applied experience, along with 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. An MS and/or PhD in Computer Science, Machine Learning, or a related field is required, as well as at least 10 years of experience in one of the programming languages like Python, Java, C/C++, etc., with intermediate Python skills being a must. You should have a solid understanding of using ML techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs), hands-on experience with machine learning and deep learning methods, and the ability to work on system design from ideation through completion with limited supervision. Practical cloud-native experience such as AWS is necessary, along with good communication skills, a passion for detail and follow-through, and the ability to work effectively with engineers, product managers, and other ML practitioners. Preferred qualifications for this role include experience with Ray, MLFlow, and/or other distributed training frameworks, in-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies, advanced knowledge in Reinforcement Learning or Meta Learning, and a deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc., is also desirable.,

As a skilled and visionary AI Lead at Matellio, you will be responsible for driving the development of advanced AI solutions. This dual role will require you to provide technical leadership and hands-on development expertise, making it an ideal position for individuals who excel at solving complex problems using machine learning, NLP, and LLM technologies. Your key responsibilities will include leading and mentoring a team of 45 AI/ML engineers, overseeing the entire project lifecycle from research to production deployment. You will be tasked with designing and owning high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaboration with sales and business development teams to create technical proposals, solution designs, and architecture diagrams for Sales Qualified Leads (SQLs) will also be part of your role. Additionally, you will work as an individual contributor when necessary, focusing on developing key components of solutions to accelerate delivery and establish best practices. Your responsibilities will extend to researching, designing, and implementing machine learning and deep learning models, including fine-tuning and deploying LLMs like GPT and BERT for production use cases. Building NLP pipelines and retrieval-augmented generation (RAG) systems using tools such as LangChain, LangGraph, and vector databases like FAISS, Pinecone, and Weaviate will also be crucial. You will be expected to apply statistical techniques to feature engineering, model evaluation, and performance optimization, ensuring adherence to code quality, testing, CI/CD, and documentation standards. Staying up-to-date with the latest advancements in AI/ML and proposing innovative solutions will be essential. Conducting code reviews, promoting peer learning, and fostering a strong engineering culture will also be part of your responsibilities. To qualify for this role, you should hold a Bachelors, Masters, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. Additionally, you should have at least 7 years of hands-on experience in AI/ML model development and deployment. Proven expertise in leading technical teams and delivering production-grade AI/ML solutions is required. Strong architectural skills with experience in designing end-to-end solutions involving cloud, APIs, and ML models are essential. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is necessary, along with hands-on experience in NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs, as well as building GenAI solutions, is expected. Familiarity with tools like LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone) will be advantageous. A solid understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to utilize them, experience deploying models and services using REST APIs, Docker, and CI/CD pipelines, and exposure to cloud platforms such as AWS, GCP, or Azure are highly desirable. Excellent analytical thinking, problem-solving, and communication skills will be crucial for success in this role.,

As a data-science leader, you will be responsible for transforming raw data into actionable insights and developing innovative AI products. Your role will involve managing projects from the initial framing of business questions to the deployment and monitoring of models in the cloud. You will have the opportunity to introduce cutting-edge generative-AI concepts such as chat assistants and retrieval-augmented search. Additionally, you will lead a team of data professionals and collaborate closely with product, engineering, and business stakeholders to deliver measurable results. Your primary responsibilities will include designing and constructing predictive and forecasting models that drive tangible impact, as well as planning and executing A/B experiments to validate ideas and guide product decisions. You will be tasked with developing and maintaining data pipelines to ensure the integrity and timeliness of datasets. Furthermore, you will spearhead generative-AI initiatives, implement modern MLOps practices for model deployment and monitoring in the public cloud, and establish robust monitoring and alerting mechanisms for accuracy, latency, drift, and cost. In addition to your technical duties, you will play a crucial role in mentoring and coaching your team, conducting code reviews, and sharing best practices. You will be required to communicate complex findings in a clear and actionable manner to non-technical audiences. Upholding data governance and privacy standards across all projects will be paramount, in alignment with internal and industry guidelines. Furthermore, you will continuously assess new tools and methodologies, running proof of concepts to ensure that solutions remain cutting-edge. The ideal candidate for this role will possess a strong foundation in statistics, experiment design, and end-to-end machine learning workflows. Proficiency in Python and SQL is essential, along with a proven track record of transitioning models from notebooks to production environments. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including container-based deployment and CI/CD practices, is highly desirable. Practical exposure to generative-AI projects, including prompt engineering, fine-tuning, and retrieval-augmented pipelines, will be advantageous.,

You will be joining a Pune-based startup as an AI Research Specialist. Your primary responsibility will involve conducting thorough research on emerging AI models, analyzing their potential integration with our system, and providing expert advice on optimizing model performance. Key Responsibilities: - Monitoring and analyzing new AI models entering the market. - Assessing the applicability of emerging models to our AI agent system. - Providing insights on model architectures, weights, biases, and training methods. - Developing and recommending fine-tuning strategies for optimal performance. - Optimizing model efficiency by determining the minimal necessary layer structure. Required Qualifications: - Holding an advanced degree in Computer Science (MS or PhD), Machine Learning, Engineering, Applied Mathematics, or related quantitative field. Candidates with backgrounds in Control Theory, Information Theory, or similar disciplines are particularly encouraged to apply. - Possessing extensive knowledge of various AI model architectures and their inner workings. - Demonstrating a strong understanding of neural network fundamentals, including weights, biases, and activation functions. - Having experience with model fine-tuning and hyperparameter optimization. - Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch). - Being familiar with state-of-the-art AI research and having the ability to quickly grasp new concepts. - Demonstrating the ability to apply systematic, logical thinking to complex problems, particularly in model optimization and efficiency. - Possessing excellent analytical and problem-solving skills. - Strong communication skills to convey complex technical concepts clearly. Preferred Skills: - Knowledge of Control Theory concepts (e.g., feedback systems, stability analysis). - Familiarity with Information Theory principles.,

As a Data Scientist (Generative AI) Lead with 4-6 years of experience based in Nagpur, you will play a crucial role in transforming raw data into valuable insights and cutting-edge AI products. Your responsibilities will encompass the entire project lifecycle, from defining business questions and analyzing datasets to deploying and monitoring models on the cloud. Additionally, you will spearhead generative-AI projects like chat assistants and retrieval-augmented search, manage a team of data professionals, and collaborate closely with product, engineering, and business teams to deliver tangible value. Your main responsibilities will include designing and implementing predictive and forecasting models that drive business impact, conducting A/B experiments to validate ideas and inform product decisions, establishing and maintaining data pipelines to ensure data integrity and timeliness, leading generative-AI initiatives such as LLM-powered chat and RAG search, as well as deploying and monitoring models using contemporary MLOps practices in the public cloud. You will also be in charge of setting up monitoring and alerting systems for accuracy, latency, drift, and cost, mentoring your team, translating complex insights into actionable narratives for non-technical stakeholders, ensuring data governance and privacy compliance, and staying abreast of new tools and methodologies to keep solutions at the cutting edge. To excel in this role, you should have a strong foundation in statistics, experiment design, and end-to-end ML workflows, proficiency in Python and SQL with a track record of transitioning models from notebooks to production, hands-on experience with cloud platforms like AWS, Azure, or GCP including container-based deployment and CI/CD pipelines, and practical exposure to generative-AI projects involving prompt engineering, fine-tuning, and retrieval-augmented pipelines. If you are passionate about leveraging data science to drive innovation, possess strong technical skills, and enjoy collaborating with cross-functional teams to deliver impactful solutions, this role offers an exciting opportunity to lead transformative AI projects and make a significant contribution to the organization's success.,

As a visionary technical co-founder, you will combine engineering excellence with philosophical depth to embark on the journey of building something rare, intelligent, and deeply rooted. You will be driven by first-principle problem solving and AI that reasons instead of merely responding. Your role will involve leading the technical architecture of a foundational AI product while embodying the qualities of humility to listen and the conviction to build. Your core responsibilities will revolve around spearheading the design, development, and iteration of VIKAS AI's reasoning engine. This will include building and fine-tuning LLMs, integrating RAG pipelines, and designing multi-agent systems. You will architect systems that strike a balance between cultural depth, emotional nuance, and technical performance. Collaborating closely with the team, you will shape core product features such as culturally intelligent LLMs, an aesthetically curated image engine, and a short-form AI news video layer. Additionally, you will co-create the technical roadmap, hire the early team, and oversee the infrastructure. To excel in this role, strong experience in machine learning, NLP, and LLMs is essential. You should be proficient with Transformers, LangChain, HuggingFace, or similar frameworks and possess solid knowledge of Python, vector databases, and inference infrastructure. Experience with RAG (Retrieval-Augmented Generation) and agent-based architectures, as well as familiarity with embedding models, fine-tuning, and prompt engineering, will set you up for success. An added advantage would be an interest in Indic language modeling or symbolic reasoning, experience in building low-latency, high-context systems, and an eye for clean code, ethics, and culture. Beyond your technical skills, your philosophical outlook and values will play a crucial role in defining who you are as a builder-philosopher. Your commitment to cultural intelligence, ethical AI, and context-aware systems will be evident as you strive to bridge the gap in current AI capabilities. You will prioritize truth over hype, depth over speed, and alignment over noise, reflecting a holistic approach to your work. In return for your contributions, you will receive co-founder status with meaningful equity, the opportunity to be at the forefront of building a product with global potential and local essence, complete creative and architectural freedom to innovate from the ground up, and the guidance of a visionary founder who is relentless, clear, and deeply committed. This role offers you the chance to not just follow existing trends but to redefine the narrative by putting India on the map through innovative thinking and impactful solutions. If you are intrigued by this opportunity and resonate with the vision outlined, feel free to reach out by DM or email at vikasai150807@gmail.com. Let's engage in conversations that transcend mere features and delve into shaping promising futures.,