Description: We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.
Job: Data Scientist with AI/ML Location: Bangalore Exp: 6+ Years SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture.
As a Snowflake Developer at our organization, you will be a valuable member of our data engineering team. Your primary responsibility will be to design, develop, and maintain data pipelines and ETL workflows on Snowflake. You will leverage your expertise in SQL to write complex queries for data transformation and optimization. Additionally, you will play a key role in building and optimizing data models and data warehousing solutions to support business intelligence and analytics. Proficiency in Python is essential as you will be developing scripts for data ingestion, transformation, and automation. Collaboration with business stakeholders, data analysts, and fellow engineers is crucial to understand data requirements effectively. You will also be responsible for implementing best practices for data security, governance, and compliance, while troubleshooting and resolving performance bottlenecks in ETL and Snowflake queries. Working with cloud technologies such as AWS/GCP for storage, compute, and integration will be part of your daily tasks. The ideal candidate for this role should have at least 6 years of IT experience with a strong background in SQL, ETL, and data warehousing. Hands-on experience in Snowflake architecture, query optimization, and performance tuning is a must. Proficiency in Python for scripting and automation is required, along with experience working with cloud platforms like AWS or GCP. A solid understanding of data modeling, star/snowflake schemas, and best practices is essential. Excellent analytical, problem-solving, and communication skills are key attributes for success in this role. Nice to have skills include experience in the US healthcare domain, familiarity with tools like Airflow, DBT, or Informatica for data orchestration, and cloud certifications (AWS/GCP or Snowflake) which will be considered an added advantage. In return, we offer you the opportunity to work on cutting-edge data engineering projects in a collaborative and innovative work culture. Competitive compensation and growth opportunities are also part of the package.,
Description Job : Java Fullstack Developer. Location : Bangalore. Exp : 6+ Years. Must Have Overall, 6 to 8 years of experience with good communication skills. 3 to 5 years hands on experience in Spring boot, Microservices, JAVA, J2EE, Spring, Hibernate, JPA. 3 to 5 years hands on experience in REST API producers & Consumers implementations. Strong hands-on experience Java Persistence API, Log4j (any ELK tool knowledge like Kibana/Splunk is favorable). 1 to 2 years of Kafka or any messaging queue experience. 1 to 2 years of Mongo DB or any NOSQL DB experience. 2to 4 years of hands-on experience on Oracle and DB modelling. 1 to 2 years in JAVA file operations, FTP , SMTP/Java mail. 1 to 2 years of experience Microservice Architecture with any cloud experience(AWS, AZURE, On premise). 2 to 4 years of experience with software registry service & load balancer implementations. 3 to 5 years of experience with Eclipse, JIRA, BitBucket and Bamboo/Jenkins . 2 to 4years of experience with automated unit and integration testing using Junit and Mockito framework. 3 to 5 years of Agile/Scrum experience. Should have used build tools like maven, Sonar Qube, repo tools like Git and Bitbucket any security tools like Fortify or Veracode or CheckMarx. (ref:hirist.tech)