1047 Llm Jobs - Page 22

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.

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests.

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.

What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap , which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-e ective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the teams workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies , such as Kubernetes or Docker containers. Experience with large language models (GPT-3,4, Pathways, Google Bert, Transformer) and deep learning tools ( TensorFlow, Torch ). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users , other technical teams, and product management to understand requirements, describe software product features, and technical designs . Nice to have: Experience in directly managing a team of high calibre machine learning engineers and data scientists. Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI!

What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap , which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-e ective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the teams workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies , such as Kubernetes or Docker containers. Experience with large language models (GPT-3,4, Pathways, Google Bert, Transformer) and deep learning tools ( TensorFlow, Torch ). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users , other technical teams, and product management to understand requirements, describe software product features, and technical designs . Nice to have: Experience in directly managing a team of high calibre machine learning engineers and data scientists. Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI!

In your new role you will: Work as a technical expert with extensive knowledge in NLP, specialize in LLM RAG, Chatbot and LLM Inference. This requires to staying abreast of the latest advancements in these fields and integrating this knowledge into our workflow. Transforming prototypes into production solutions with best practices for both development and deployment. This will require a comprehensive understanding of the technical requirements, as well as the ability to think critically and solve complex problems. Supporting the operation of the solutions involves troubleshooting and bug fixing, as well as implementing change requests to ensure that the solutions continue to meet user requirements. Your Profile You are best equipped for this task if you have: Masters or Bachelors Degree in Computer Science/Mathematics/ Statistics or equivalent Minimum of 5 years of relevant work experience in NLP/AI/ML, including at least 1 year focusing on LLM. Hands-on work experience in the field of LLM/Generative AI, Chatbot, RAG, or LLM Inference. This includes conceptualizing, designing, and implementing AI solutions powered by LLM. Extensive experience in Software Engineering & Development cycles (CI/CD) with proficiency in scripting languages, particularly Python. Good understanding and experience of Kubernetes / vc Platform. Working knowledge in API development for for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Notice Period: Maximum 30 days Location: Bangalore, Chennai, Kolkata, Pune, and Hyderabad Note: Candidates based in Hyderabad must attend in-person interviews for the second round. Role Summary: Generative AI Specialist Mandatory Skills: Gen AI, LLMs, ML/DL/NLP, RAG, LangChain, Mistral, LLaMA, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DBs Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (e.g., Kubeflow, MLflow), Kubernetes, GitHub/Bitbucket, Azure DevOps, GPT-4 Responsibilities: Design, develop, and deploy generative AI solutions using modern ML/DL techniques. Work with large-scale datasets; handle preprocessing and model optimization. Build applications using LLMs and frameworks like LangChain, leveraging models like Mistral, LLaMA, GPT-4. Research and implement cutting-edge GenAI algorithms and architectures. Ensure Responsible AI compliance and monitor model performance post-deployment. Collaborate with cross-functional teams for solution integration and data engineering. Drive innovation by staying up to date with AI trends. Provide technical leadership, mentorship, and contribute to project governance and stakeholder communication. If you meet the requirements and are looking for a new opportunity, we'd love to hear from you! Interested candidates can send their resumes to admin@spearheadps.com OR Contact us via call/WhatsApp at 9899080360

Hiring for Randstad Client Looking for candidate's only from Finance, Accountancy, Economics, Physics, Mathematics educational background . What You Will Be Doing: 1. Creating High-Quality Content for Various AI Models: Develop conversational prompts and responses. Create generative prompts and responses. Write description prompts. Provide detailed descriptions of videos with or without audio. Summarize video content. Generate image captions. Create video event captions. 2. Evaluating Human or AI-Generated Prompt-Response Pairs: Score prompt-response pairs on multiple parameters and categories. Provide constructive feedback and suggest improvements where applicable. 3. Comparing and Rating Multiple AI-Generated Prompt-Response Pairs: Evaluate and score prompt-response pairs based on various parameters. Refine and enhance responses as needed. Required: Strong understanding of NLP concepts and techniques. Experience with large language models and AI systems. Excellent written and verbal communication skills, with a passion for language and storytelling. Ability to think creatively and solve problems, adapting to new challenges and priorities Strong analytical skills and attention to detail. Effective collaboration skills within a cross-functional team. 5 days working(Work from home) General shift Virtual Interview Interested candidate's share CV on p.preethi@randstad.in

Position Summary : The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions and integrating cutting-edge generative AI technologies. This role requires a foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating enthusiasm for learning and contributing to project success. Mandatory Skills & Experience : - A passionate developer with 3+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Foundational experience in software development, with exposure to AI/ML technologies. - Proficiency in GenAI frameworks : Experienced in using GenAI frameworks and libraries such as OpenAI API. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Experience developing solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Strong verbal and written communication skills (English). - Positive and solution-oriented mindset. - Experience delivering Agile and Scrum projects in a Jira-based project management environment. Desired Skills & Experience : - Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. - Knowledgeable about vector databases, LLMs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g, Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : - At least one recognized cloud professional / developer certification (AWS/Google/Microsoft). Key Responsibilities : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g, Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery : - Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks. - Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. - Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics. - Refactor existing solutions to implement a microservices-based architecture. Client Relationships : - Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals. - Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. - Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery.

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Job Title : AI Engineer - Azure AI. Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

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.

Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

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.

We are looking for a Full Stack Developer, Passionate about building scalable AI-powered products. The ideal candidate should be self-driven, hands-on with backend and frontend development, and have the mindset to own and lead modules independently.

Role Value: This role plays a pivotal part in driving innovation through the development of advanced, ML-driven technologies. By aligning business goals with product strategy, the Product Owner helps shape high-impact solutions that bring measurable value to both internal stakeholders and end users. Key Responsibilities: Collaborate closely with Machine Learning and Engineering teams on advanced data extraction technologies (e.g., no-OCR, VLM-based extraction) Translate business needs into epics and user stories for development teams Align product goals with company strategy in coordination with Product Management Maintain a well-prioritized product backlog based on business value Work with stakeholders and data analysts to ensure data-driven product decisions Track product progress, performance, and deliverables across sprints Communicate effectively with globally distributed teams and stakeholders Stay updated with agile practices, ML/AI trends, and industry standards Required Experience & Qualifications: 3+ years as a Product Owner in an agile environment Familiarity with AI/ML patterns (e.g., VLM, LLMs) and experience working with ML-driven teams Technical aptitude with a fast-learning mindset Strong data orientation and analytical thinking Agile and/or SAFe framework knowledge Excellent attention to detail and communication skills Comfortable working in international, cross-functional environments Proficient in spoken and written English Nice to Have: Exposure to Regulatory Compliance Product Marketing experience Strong cross-cultural communication Advanced data analysis capabilities Knowledge of Biometric Security Standards Key Traits: Energetic, teachable, and eager to learn Follows SOPs with accuracy and discipline Collaborative and customer-focused Takes ownership with a proactive, problem-solving attitude Resilient and positive under pressure Role & responsibilities Preferred candidate profile

Immediate joiners can apply.Design and develop AI solutions like chatbots using LangChain or Llama to automate tasks, improve decision-making, and extract insights from data. Collaborate with developers, and other stakeholders to understand business needs and translate them into technical requirements. Develop and maintain code to interact with databases and retrieve store, and prepare data for AI models. Integrate AI LLMS in LangChain or Llama with existing workflows and applications. Write clean, maintainable, and well-documented code.

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

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

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

Experience : 3+ years Shift : (GMT+05:30) Asia/Kolkata (IST) Must have Skills required: NLP, LLM, Python We are looking for a Senior Machine Learning Engineer with expertise in LLMs, NLP, and privacy-focused AI solutions to join our Mumbai team and help shape the future of AI-powered data protection. In this role you will: Develop and fine-tune LLMs for contract analysis, regulatory classification, and risk assessment. Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid DB-based querying to power DPIA and compliance workflows. Build AI-driven contract analysis systems to detect dark patterns, classify clauses, and provide remediation suggestions. Develop knowledge graph-based purpose taxonomies for privacy policies and PII classification. Automate data discovery for structured and unstructured data, classifying it into PII categories. Optimize sliding window chunking, token-efficient parsing, and context-aware summarization for legal and compliance texts. Build APIs and ML services for deploying models in a high-availability production environment. Collaborate with privacy, legal, and compliance teams to build AI solutions that power Privys data governance tools. Stay ahead of the curve with agentic RAG, multi-modal LLMs, and self-improving models in the compliance domain. Must-Have Skills 3-5 years of experience in Machine Learning, NLP, and LLM-based solutions. Strong expertise in fine-tuning and deploying LLMs (GPT-4, Llama, Mistral, or custom models). Experience with RAG-based architectures, including vector embeddings (FAISS, ChromaDB, Weaviate, Pinecone, or similar). Hands-on with agentic RAG, sliding window chunking, and efficient context retrieval techniques. Deep understanding of privacy AI use cases, including contract analysis, regulatory classification, and PII mapping. Proficiency in Python and frameworks like PyTorch, TensorFlow, JAX, Hugging Face, or LangChain. Experience in building scalable AI APIs and microservices. Exposure to MLOps practices, including model monitoring, inference optimization, and API scalability. Experience working with at least one cloud provider (AWS, GCP, or Azure). Good-to-Have Skills Experience in hybrid AI architectures combining vector search+ relational databases. Familiarity with functional programming languages (Go, Elixir, Rust, etc.). Understanding of privacy compliance frameworks (DPDP Act, GDPR, CCPA, ISO 27701). Exposure to Kubernetes, Docker, and ML deployment best practices. Contributions to open-source LLM projects or privacy AI research. Skills NLP, LLM, Python