7 Vectordbs Jobs

As an AI/ML Developer at our organization, you will be responsible for developing and implementing machine learning models and algorithms. Your role will involve working closely with project stakeholders to understand requirements and translate them into deliverables. Utilizing statistical and machine learning techniques, you will analyze and interpret complex data sets. It is crucial to stay updated with the latest advancements in AI/ML technologies and methodologies to ensure the success of various AI/ML initiatives. Collaboration with cross-functional teams will be essential to support and drive these initiatives forward. In this role, it would be advantageous to have knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Key technical skills required for this position include solid experience in Time Series Analysis, Anomaly Detection, and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and the Deep Learning stack using Python. Additionally, experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is necessary. You should also possess expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data, including indexing, search, and advanced retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks such as pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, and ETL is required. Experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, as well as deep learning frameworks such as TensorFlow, Keras, and PyTorch, is essential. Familiarity with version control systems like Git and CodeCommit is expected. Moreover, strong knowledge and experience in Generative AI/LLM based development, working with key LLM models APIs and LLM Frameworks, text chunking techniques, text embeddings, RAG concepts, and training and fine-tuning Foundation Models are valuable assets for this role. If you have 5-8 years of experience in the field and are available to join within 0-15 days, we encourage you to apply for this Full-Time position located in Ahmedabad, Indore, or Pune.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms, working closely with project stakeholders to understand requirements and translate them into deliverables, utilizing statistical and machine learning techniques to analyze and interpret complex data sets, staying updated with the latest advancements in AI/ML technologies and methodologies, and collaborating with cross-functional teams to support various AI/ML initiatives. To qualify for this position, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, as well as a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), expertise in building secure data ingestion pipelines for unstructured data (ETL/ELT), proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks, experience with data visualization tools, knowledge of deep learning frameworks, experience with version control systems, and strong knowledge and experience in Generative AI/LLM based development. Good to have skills for this position include knowledge and experience in building knowledge graphs in production and understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, and we believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.,

You are a highly skilled GenAI Lead Engineer responsible for designing and implementing advanced frameworks for alternate data analysis in the investment management domain. You will leverage LLM APIs (GPT, LLaMA, etc.), build scalable orchestration pipelines, and architect cloud/private deployments to drive next-generation AI-driven investment insights. Your role includes leading a cross-functional team of Machine Learning Engineers and UI Developers to deliver robust, production-ready solutions. Your responsibilities will include developing custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. You will optimize LLM usage for investment-specific workflows, including data enrichment, summarization, and predictive analysis. Additionally, you will design and implement document ingestion workflows using tools such as n8n (or similar orchestration frameworks) and build modular pipelines for structured and unstructured data. You are also expected to architect deployment strategies on cloud (AWS, GCP, Azure) or private compute environments (CoreWeave, on-premises GPU clusters) ensuring high availability, scalability, and security in deployed AI systems. The ideal candidate should have a strong proficiency in Python with experience in frameworks such as TensorFlow or PyTorch. You must have 2+ years of experience in Generative AI and Large Language Models (LLMs) along with experience with VectorDBs (e.g., Pinecone, Weaviate, Milvus, FAISS) and document ingestion pipelines. Familiarity with data orchestration tools (e.g., n8n, Airflow, LangChain Agents), cloud deployments, GPU infrastructure (CoreWeave or equivalent), proven leadership skills, and experience managing cross-functional engineering teams are essential. Strong problem-solving skills, the ability to work in fast-paced, data-driven environments, experience with financial or investment data platforms, knowledge of RAG (Retrieval-Augmented Generation) systems, familiarity with frontend integration for AI-powered applications, and exposure to MLOps practices for continuous training and deployment are also required.,

As a Senior Data Scientist, you will play a crucial role in supporting the design, development, and implementation of generative AI models and systems. Your responsibilities will include assisting in model development, algorithm optimization, data preprocessing, feature engineering, model evaluation, and collaboration with cross-functional teams. You will focus on learning and developing your skills in generative AI while ensuring ethical considerations are adhered to under the guidance of senior team members. Your technical skills should include in-depth knowledge of ML, Deep Learning, NLP algorithms, and experience with ML platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proficiency in Python, Java, or C++, along with machine learning frameworks such as TensorFlow or PyTorch, is essential for developing and optimizing generative AI models. Cloud computing experience, particularly with Google or Azure Cloud Platform, is crucial, as well as an understanding of Data Analytics Services offered by these platforms. Preferred technical skills may include knowledge of Azure Cognitive Search, Google Cloud Search, AWS Kendra, and experience in large-scale deployment of ML projects with a good understanding of DevOps/MLOps/LLM Ops. Strong communication skills, the ability to work independently, mentor junior developers, and understand business objectives to support data needs are key behavioral attributes required for this role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science and possess 6 to 8 years of relevant work experience. If you are looking to contribute to cutting-edge generative AI projects, collaborate with diverse teams, and stay updated with the latest AI trends, this role is ideal for you.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLMIntegration / AIDevelopment Experience with OpenAI, Anthropic APIs PromptEngineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code SecondarySkills AmazonBedrock Familiarity is a strong plus WebServers Experience with Nginx / Apache configuration RAGPatterns / VectorDBs / AIAgents Bonus experience SoftwareEngineeringBestPractices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices Candidate Submission Format Name: Total Experience: Relevant Experience in Full Stack / AWS / AI: Current CTC: Expected CTC: Notice Period: Preferred Location: Chennai / Hyderabad Resume: [Attach here] Submit profiles to: navaneetha@suzva.com