4.0 - 8.0 years

0 Lacs

karnataka

On-site

As a Mid-Level AI Engineer at our company, you will be an integral part of our AI team, focusing on the development of intelligent applications using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Your collaboration with data scientists, backend engineers, and product teams will be pivotal in building and deploying AI-powered solutions that bring real-world value. Your responsibilities will include designing, developing, and optimizing applications by leveraging LLMs such as GPT, LLaMA, and Claude. You will also be responsible for implementing RAG pipelines to enhance LLM performance through domain-specific knowledge bases and search tools. Developing and maintaining robust Python codebases for AI-driven solutions, integrating vector databases like Pinecone, Weaviate, FAISS, and embedding models for information retrieval will be a key part of your role. Additionally, you will work with APIs, frameworks like LangChain, Haystack, and tools to build scalable AI workflows. Collaborating with product and design teams to define AI use cases and deliver impactful features, conducting experiments to evaluate model performance, retrieval relevance, and system latency, as well as staying updated on research and advancements in LLMs, RAG, and AI infrastructure are also important aspects of your responsibilities. To be successful in this role, you should have at least 3-5 years of experience in software engineering or AI/ML engineering, with a strong proficiency in Python. Experience working with LLMs from OpenAI, Hugging Face Transformers, etc., hands-on experience with RAG architecture, vector-based retrieval techniques, embedding models like SentenceTransformers, OpenAI embeddings, and vector databases such as Pinecone, FAISS is required. Knowledge of API design, deployment, performance optimization, version control using Git, containerization with Docker, and cloud platforms like AWS, GCP, Azure is essential. Preferred qualifications include experience with LangChain, Haystack, or similar LLM orchestration frameworks, understanding of NLP evaluation metrics, prompt engineering best practices, exposure to knowledge graphs, semantic search, document parsing pipelines, experience in deploying models in production, monitoring system performance, and contributions to open-source AI/ML projects are a plus.,

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Data Science Pentair

5.0 - 9.0 years

0 Lacs

delhi

On-site

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.,

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Backend Developer Growsafe Partners

4.0 - 9.0 years

5 - 15 Lacs

Mumbai, Hyderabad, Bengaluru

Work from Office

Design and develop backend services using FastAPI, integrate AI/ML features, manage PostgreSQL and vector DBs, implement Redis caching, deploy with Docker/Kubernetes, maintain CI/CD pipelines, and ensure high performance and scalability.

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