6 Tgi Jobs

We are seeking a skilled and experienced Platform Engineer/Architect to lead the setup, advancement and maintenance of a robust on-premise environment for hosting open-source large language models. This role involves designing and implementing scalable, secure, and efficient infrastructure solutions that cater to the specific needs of large-scale AI models. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Design and architect a scalable and secure on-premise hosting environment for large language models. Develop and implement infrastructure automation tools for efficient management and deployment. Ensure high availability and disaster recovery capabilities. Optimize the hosting environment for maximum performance and efficiency. Implement monitoring tools to track system performance and resource utilization. Regularly update the infrastructure to incorporate the latest technological advancements. Establish robust security protocols to protect sensitive data and model integrity. Ensure compliance with data protection regulations and industry standards. Conduct regular security audits and vulnerability assessments. Work closely with AI/ML teams to understand their requirements and provide suitable infrastructure solutions. Provide technical guidance and support to internal teams and stakeholders. Stay abreast of emerging trends in AI infrastructure and large language model hosting. Manage physical and virtual resources to ensure optimal allocation and utilization. Forecast resource needs and plan for future expansion and upgrades KEY SKILLS AND EXPERIENCE Bachelor's or Master's degree in Computer Science, Information Technology, or a related field with 7-12 years of experience. Proven experience in infrastructure architecture, with exposure to AI/ML environments. Experience with inferencing frameworks like TGI, TEI, Lorax, S-Lora etc. Experience with training frameworks like PyTorch, TensorFlow etc. Proven experience with On-premises OSS models Llama3, Mistral etc. Strong knowledge of networking, storage, and computing technologies. Experience of working with container orchestration tools (e.g., Kubernetes - Redhat OS). Proficient programming skills in Python Familiarity with open-source large language models and their hosting requirements. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

About EssenceMediacom: EssenceMediacom is a leading WPP media brand that believes in the power of media and creativity to drive breakthroughs for the world's best brands. Grounded in analytics & insights and powered by data & technology, EssenceMediacom is designed for the new communications economy, built on data & technology, built for people & algorithms, and built to evolve around diverse schools of thought. Role Summary And Impact: We are currently seeking a Senior Media Planning Manager to join our team. The ideal candidate should have a strong background in digital media planning and brand marketing. Responsibilities include managing end-to-end brand campaigns, from mapping Brand KPIs to crafting media approaches, coordination in implementation/optimizations, and performance review and analysis. The candidate should have a deep understanding of planning principles across digital platforms such as OLVs, Social Media, and Ad Networks. Reporting to: Media Planning Director Key Responsibilities: - Independently manage planning and optimization of digital media campaigns across various channels to drive campaign KPIs. - Understand marketing funnels and tailor media strategies based on business and campaign objectives. - Utilize knowledge of B2C publishers for India to drive brand-led campaigns. - Assess campaign performance, provide actionable insights, and deliver clear recommendations via reports and presentations. - Conduct audience/platform research using 1st party/3rd party data sources. - Contribute ideas for campaign experiments/innovations and prioritize relevant experiments. - Manage accurate forecasts, media plans, and key media planning documentation. - Collaborate and coordinate with internal and external stakeholders. Skills And Experience: - 4-6 years of experience in digital media planning (brand marketing). - Knowledge of typical B2C platforms and media research tools. - Effective vocabulary across video, display, social campaigns, and programmatic media buying. - Excellent communication, presentation, organizational, and problem-solving skills. - Ability to prioritize, multitask, collaborate in a team environment, and think creatively. - Detail-oriented, responsive, deadline-driven with strong reasoning skills. Life At WPP Media & Benefits: WPP Media invests in employee growth and provides opportunities to tap into global networks. Employee resource groups, in-office events, and a culture of respect and equal opportunities for all employees are key aspects of life at WPP Media. WPP Media is an equal opportunity employer committed to fostering a culture of respect and inclusivity. The best work happens through creativity, collaboration, and connection. Privacy Notice: Please refer to our Privacy Notice for information on how we process the information you provide. *Please note that only selected candidates will be contacted for an interview.,

Responsibilities: * Design, develop & implement AI solutions using ML algorithms & NLP techniques. * Optimize performance through continuous learning & improvement. Annual bonus

This is a fun and fast-paced work environment where you get to work with a diverse mix of clients and collaborate with best-in-class people across multiple functions. You'll be part of a rapidly growing organization where the sky is the limit, with opportunities to be entrepreneurial while leveraging the resources of the world's largest marketing services group. Measures of Success In three months, you will have: Gained a deep understanding of your clients businesses, categories, and brand objectives. Devised key communication strategies for your core clients. Mastered all the tools and resources available within the Mindshare, GroupM, and WPP ecosystems to apply them to brand strategies. Built strong, collaborative relationships with business teams and internal verticals. Taken initiative to contribute to the agency's goals for the year. In six months, you will have: Become the best buddy within the Mindshare family, earning internal and external confidence in your brand knowledge. Successfully led client accounts and engaged with clients on their brand's media approach. Initiated and delivered key projects across client brands. Demonstrated a strong understanding of in-house products and software during client conversations. Started working on special projects. In 12 months, you will have: Emerged as the go-to person for Strategy & Insights solutions for both internal teams and clients. Taken specific initiatives and provided strategic direction to drive tangible business outcomes for key clients. Mastered the art of delivering award-winning solutions for clients. Identified and nurtured key partnerships for the organization. Become an integral part of conceptualizing the organization's strategic direction from a product perspective. Worked on award entries to showcase your team's innovative work. Achieved a complete understanding of the GroupM/Mindshare ecosystem and matrix structure to deliver 360-degree strategies across brands. What Your Day Job Looks Like At Mindshare Drive the strategy function and direction for the organization. Continuously stay informed about industry, technology, data, and communication trends to devise strategic directions for both clients and the organization. Meet regularly with partners in data, technology, creative, and academia to drive organizational-level partnerships. Lead data war rooms , market mix modeling, and strategic thinking for key clients across various industries. Craft strategies based on outcome-led thinking and ensure adaptive, agile data roadmaps. Build strategies using the Mindshare strategic thinking framework for your client portfolio. Continuously read and learn to stay ahead of the curve. Identify key business challenges and provide sharp, consumer-rooted solutions. Utilize client, third-party, and internal data to derive actionable insights that translate into strategic communication planning. Devise methodologies and systems to continuously measure business outcomes resulting from marketing and communication activities. Communicate complex ideas and insights in a simple, applicable way to ensure learnings are embedded and have a real impact. Conceptualize and institute consumer surveys . Make compelling presentations to top management, marketing teams, and public groups, communicating complex ideas in an understandable and applicable way. Use both digital and non-digital communication solutions to create integrated plans. Act as a senior-level client contact and lead strategic conversations on media and communication planning. What You'll Bring Prior work experience in Research or Media . Knowledge of Communications Strategy and Account Planning is a strong advantage. Exceptional communication skills . The ability to design, implement, and analyze primary research with minimal supervision. Strong qualitative and quantitative analytical skills . A radical, out-of-the-box thinking style. Experience in the digital ecosystem . A must-have: comfort with numbers and data . Proactiveness and enthusiasm for creating pioneering and award-winning work. Collaborative spirit and excellent people skills to work with multiple teams and stakeholders. Efficient project management skills . A hunger to continuously learn and explore new things. Minimum Qualifications Minimum 10+ years of relevant experience . Experience handling FMCG or Broadcast clients in top agencies is preferred. Advanced working knowledge of BARC is a must . Working knowledge of secondary research tools like TGI, IRS, comScore, and AppAnnie is preferred. Post-graduate degree in Marketing, Research, Statistics, or a relevant field.

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools and technologies Mentor junior engineers and contribute to best practices documentation Required Skills & Qualifications: 8+ years of experience in DevOps, with at least 3 years in MLOps/LLMOps Strong experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker) Proficient in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on experience deploying and managing different types of AI models (e.g., OpenAI, HuggingFace, custom models) to be used for developing solutions. Experience with model serving tools such as TGI, vLLM, BentoML, etc. Solid scripting and programming skills (Python, Bash, etc.) Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack) Strong understanding of security and compliance in ML environments Preferred Skills: Knowledge of model explainability, drift detection, and model monitoring Familiarity with data engineering tools (Spark, Kafka, etc. Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools and technologies Mentor junior engineers and contribute to best practices documentation Required Skills & Qualifications: 8+ years of experience in DevOps, with at least 3 years in MLOps/LLMOps Strong experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker) Proficient in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on experience deploying and managing different types of AI models (e.g., OpenAI, HuggingFace, custom models) to be used for developing solutions. Experience with model serving tools such as TGI, vLLM, BentoML, etc. Solid scripting and programming skills (Python, Bash, etc.) Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack) Strong understanding of security and compliance in ML environments Preferred Skills: Knowledge of model explainability, drift detection, and model monitoring Familiarity with data engineering tools (Spark, Kafka, etc. Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams