6 Llmbased Solutions Jobs

As a Machine Learning Engineer at HID, you will play a crucial role in the success of the company by: - Designing and implementing machine learning pipelines and models, including LLM-based solutions - Translating prototypes and research into production-grade code and deployable components - Developing and fine-tuning foundation models and LLMs for specific use cases - Training and optimizing numeric machine-learning models - Applying prompt engineering and building agent-based architectures for complex task automation - Integrating models into backend systems and supporting real-time/batch inference services - Working with guardrails and observability tools to ensure safe and robust use of generative AI - Staying up to date with advances in AI and emerging LLM ecosystems to bring innovative capabilities to the team Your Experience and Background should include: - Bachelors or Masters in Computer Science, Engineering, or a related technical field - 3+ years of experience building and deploying machine learning models in production - Hands-on experience with LLM solution development and integration - Solid understanding of modern LLM tools and frameworks such as: - LangChain, LangGraph, CrewAI, Autogen - Azure OpenAI Studio, Gemini Studio - LangSmith or equivalent observability/debugging platforms - Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers - Deep understanding of agent architectures, prompt engineering, and LLM guardrails - Experience with CI/CD practices, version control, testing, and model governance - Comfortable working with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes) - Bonus: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) or orchestration tools (e.g., MLflow, Airflow) In addition to the above, HID offers you: - Competitive salary and rewards package - Competitive benefits and annual leave offering, allowing for work-life balance - A vibrant, welcoming & inclusive culture - Extensive career development opportunities and resources to maximize your potential - To be a part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds,

As a Senior Data Scientist in the Data & Analytics field, you will be responsible for a variety of tasks that involve advanced analytics, modeling, data strategy, engineering collaboration, business impact, AI strategy, thought leadership, mentorship, and technical expertise. You will design and implement advanced machine learning models, including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions such as GPT, LLaMA, and Claude. Additionally, you will develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Your role will also involve fine-tuning or prompt-engineering foundation models for domain-specific applications and evaluating and optimizing LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Collaboration with data and ML engineering teams will be crucial as you work closely to integrate LLM-powered applications into scalable, secure, and reliable pipelines. You will contribute to the development of retrieval-augmented generation architectures using vector databases and support the deployment of models using MLOps principles. Partnering with cross-functional stakeholders, you will identify opportunities for applying LLMs and generative AI to solve complex business challenges. Leading workshops or proofs-of-concept will be part of your responsibilities to demonstrate the value of LLM use cases across business units. You will also translate complex model outputs into clear insights and decision support tools for non-technical audiences. As an internal thought leader on AI and LLM innovation, you will keep the organization at the forefront of industry advancements. Mentoring and upskilling data science team members in advanced AI techniques and contributing to strategic roadmaps for generative AI and model governance within the enterprise will be key aspects of your role. To qualify for this position, you should have education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline, along with 5+ years of hands-on experience in data science. Demonstrated success in deploying machine learning and NLP solutions at scale and proven experience with cloud AI platforms are required. Proficiency in Python and SQL, experience with prompt engineering, fine-tuning, and LLM orchestration tools, familiarity with data storage and retrieval systems, and strong understanding of model evaluation techniques for generative AI are also necessary. Additionally, you should possess leadership skills and be a strategic thinker with the ability to align AI initiatives to business goals. Excellent communication and storytelling skills are crucial for articulating the value of LLMs and advanced analytics. Strong collaboration skills and the ability to influence stakeholders across various teams are also essential. Preferred qualifications for this role include experience with IoT, edge analytics, or smart building systems, familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks, and knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.,

As an experienced and hands-on Salesforce AI Architect, you will be responsible for leading the design and delivery of intelligent agent solutions using Agentforce, Einstein AI, and the Salesforce platform. Your role will involve architecting and implementing GenAI-powered workflows, providing strategic advisory to enterprise customers, and assisting in scaling innovation across complex client engagements. This position requires a combination of technical expertise, executive engagement, and visionary thinking to deliver tangible AI outcomes within the Salesforce ecosystem. In this role, your responsibilities will include designing and implementing AI-powered intelligent agents using Agentforce and Salesforce AI, leading full-stack implementation across various platforms, and rapidly building PoCs and MVPs to validate concepts and accelerate customer buy-in. Additionally, you will be involved in integrating Salesforce CRM with external systems and AI endpoints, designing secure and scalable data architectures to support GenAI workflows, and providing pre-sales and strategic advisory support by shaping solution strategies during pre-sales and discovery phases. To be successful in this role, you must hold a Salesforce Certified Application Architect or System Architect certification, have at least 8 years of experience in customer-facing technical roles across AI, CRM, or Data Architecture, and possess hands-on experience with Salesforce CRM, Salesforce Einstein, and various programming languages and integration tools. Strong communication, visualization, and stakeholder engagement skills are essential, along with the ability to engage C-level stakeholders and lead strategic technical discussions. Preferred qualifications include additional Salesforce certifications, familiarity with enterprise data platforms, experience with AI model observability and prompt governance, as well as knowledge of data privacy, security, and compliance frameworks. Ideal attributes for this role include a strategic and tactical mindset, hands-on AI expertise, the ability to build long-term credibility with stakeholders, and a passion for innovation and sharing best practices. Joining our team will offer you the opportunity to work with cutting-edge Salesforce AI technologies and enterprise clients, access world-class enablement resources, build your brand as a thought leader in the GenAI and Agentforce space, and enjoy a flexible hybrid work environment with meaningful career growth and impact.,

About Us Thoucentric provides end-to-end consulting solutions to tackle diverse business challenges across industries. With a focus on leveraging deep domain expertise, cutting-edge technology, and a results-driven approach, we assist organizations in optimizing operations, improving decision-making, and fostering growth. Headquartered in Bangalore, we have a global presence in India, US, UK, Singapore, and Australia. Our services span Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning, and Execution, encompassing areas such as Analytics & Emerging Tech in functional domains like Supply Chain, Finance & HR, Sales & Distribution. We pride ourselves on executing solutions rather than just offering advice, collaborating with leading names in the CPG industry, tech sector, and start-up ecosystem. Recognized as a "Great Place to Work" by AIM and ranked among the "50 Best Firms for Data Scientists to Work For", we boast a seasoned consulting team of over 500 professionals across six global locations. Job Description About the Role We are in search of a BI Architect to support the BI Lead of a global CPG organization by designing an intelligent and scalable Business Intelligence ecosystem. The role involves crafting an enterprise-wide KPI dashboard suite enhanced by a GenAI-powered natural language interface for insightful exploration. Responsibilities - Architect BI Stack: Develop and supervise a scalable and efficient BI platform serving as the central source for critical business metrics across functions. - Advise BI Lead: Collaborate as a technical advisor to the BI Lead, ensuring alignment of architecture decisions with long-term strategies and business priorities. - Design GenAI Layer: Create a GenAI-driven natural language interface for BI dashboards to enable conversational querying of KPIs, trends, and anomalies by business users. - RAG/Graph Approach: Implement suitable architectures like RAG with vector stores or Knowledge Graphs to deliver intelligent, context-rich insights. - External Data Integration: Establish mechanisms for organizing and integrating data from external sources (e.g., competitor websites, industry reports) to enhance internal insights. - Security & Governance: Maintain adherence to enterprise data governance, security, and compliance standards across all layers (BI + GenAI). - Cross-functional Collaboration: Engage closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization of the BI ecosystem. Requirements Qualifications - 9 years of BI architecture and analytics platform experience, with at least 2 years focused on GenAI, RAG, or LLM-based solutions. - Profound expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. - Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). - Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is advantageous. - Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. - Experience in web scraping and structuring external/third-party datasets. - Previous exposure to CPG domain or large-scale KPI dashboarding is preferred. Benefits Joining Thoucentric as a Consultant offers: - Opportunity to shape your career path independently. - Engaging consulting environment working with Fortune 500 companies and startups. - Supportive and dynamic workplace fostering personal growth. - Inclusive culture with opportunities for bonding beyond work. - Participation in Thoucentric's growth journey. Skills Required: BI architecture, Analytics, Data Visualization Practice Name: Data Visualization Date Opened: 07/15/2025 Work Mode: Hybrid Job Type: Full time Industry: Consulting Corporate Office: Thoucentric, The Hive, Mahadevapura, Bengaluru, Karnataka, India, 560048,

This position is pivotal in identifying and incubating cutting-edge AI technologies that align with the strategic goals of the company, enhancing the capabilities in data-driven decision-making and is crucial in defining and promoting best practices in AI model development and deployment. As an AI Engineer, you will ensure seamless integration of innovative AI solutions into existing frameworks, making sure they are scalable, reliable, and tailored to meet the unique demands of the pharmaceutical industry. Your contributions will be instrumental in advancing healthcare through technology, ultimately improving patient outcomes and driving business success. You will be responsible for understanding complex and critical business problems, formulating an integrated analytical approach to mine data sources, employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes for reducing effort and time for repeated use. Your role will involve architecting and developing end-to-end AI/ML and Gen AI solutions, focusing on scalability, performance, and modularity while ensuring alignment and best practices with enterprise architecture standards. Additionally, you will manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its useful lifecycle. Your high agility will allow you to work across various business domains, integrating business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will also independently manage the budget, ensuring appropriate staffing and coordinating projects within the area while collaborating with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives. The ideal candidate for this role will have an advanced degree in Computer Science, Engineering, or a related field (PhD preferred) and at least 8 years of experience in AI/ML engineering, with a focus on designing and deploying LLM-based solutions for a minimum of 2 years. Strong proficiency in building AI/ML architectures and deploying models at scale, experience in cloud computing platforms such as AWS, Google Cloud, or Azure, deep knowledge of LLMs, containerization technologies (Docker, Kubernetes), CI/CD pipelines, and hands-on experience with cloud platforms and MLOps tools for scalable deployment are essential requirements. Additionally, experience with API development, integration, model deployment pipelines, strong problem-solving skills, proactive approach to challenges, effective communication in cross-functional teams, and excellent organizational skills with attention to detail in managing complex systems are necessary for this role. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served. If you require accommodations due to a medical condition or disability, please reach out to diversityandincl.india@novartis.com. This role at Novartis offers the opportunity to be part of a community of smart, passionate individuals dedicated to creating breakthroughs that change patients" lives. If you are ready to contribute to a brighter future, visit https://www.novartis.com/about/strategy/people-and-culture to learn more about Novartis and its commitment to diversity and inclusion.,

As an experienced data engineer specializing in dashboard story development and data engineering pipelines, you will play a crucial role in analyzing log data to extract actionable insights for product enhancements and feature optimization. With 5+ years of hands-on experience, you will collaborate with cross-functional teams to gather business requirements, translate them into technical specifications, and design interactive dashboards using tools like Tableau, Power BI, or ThoughtSpot AI. You will be responsible for managing large volumes of application log data using Google Big Query, ensuring data integrity, consistency, and accessibility for analytical purposes. Your expertise in identifying patterns, trends, and anomalies in log data will be instrumental in visualizing key metrics and insights to communicate findings effectively with customer success and leadership teams. In addition to your primary responsibilities, you will work closely with product teams to understand log data generated by Python-based applications, define key performance indicators (KPIs), and optimize data pipelines and storage in Big Query. Your strong communication, teamwork, problem-solving skills, and ability to learn quickly and adapt to new technologies will be essential in this role. Preferred qualifications include knowledge of Generative AI (GenAI) and LLM-based solutions, experience with ThoughtSpot AI, Google Cloud Platform (GCP), and modern data warehouse architectures. You will also have the opportunity to participate in proof-of-concepts (POCs) and pilot projects, articulate ideas clearly to the team, and take ownership of data analytics and engineering solutions. Additional nice-to-have qualifications include experience working with large datasets, distributed data processing tools like Apache Spark or Hadoop, familiarity with Agile development methodologies, and ETL tools such as Informatica or Azure Data Factory. This full-time position in the IT Services and IT Consulting industry offers a dynamic environment where you can leverage your skills to drive meaningful business outcomes.,