Data Scientist/ GenAI LLM Engineer. Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information. As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients. Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies. Required Qualifications: Bachelors Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders. Desired Qualifications: M.sc. or Phd. in corresponding fields Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks Deep knowledge of a specific domain or industry, with a focus on NLP/LLM In depth understanding of Responsible AI standards and protocols Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development
Skill Area Requirements Programming & Scripting DotNet, Python, Bash/PowerShell, REST API development IoT Protocols OPC UA, MQTT, Modbus TCP Data Engineering Time-series databases, ETL pipelines, metadata mapping DevOps Docker, Kubernetes, CI/CD pipelines, edge orchestration Visualization Experience with dashboarding tools (Grafana, Kibana, or custom) Cloud Platforms Exposure to Azure/AWS/GCP IoT & data services is a plus Soft Skills Agile collaboration, documentation, debugging and testing
Skills: 5+ years Python development in SaaS/B2B, backend or fullstack. Strong Linux/Unix skills, shell scripting, and SaaS integration via APIs (REST, GraphQL). Expert in troubleshooting complex technical issues during onboarding/integration. Excellent communication and customer-facing experience. Preferred: cloud platforms (AWS/Azure/GCP), CI/CD, Git, and enterprise auth protocols (SSO, OAuth, LDAP).
You should have 6 to 10 years of experience as an Engineer in embedded Linux/Linux application/driver/kernel development. Your skills should include strong C/C++ development capabilities with a good grasp of object-oriented design. Additionally, experience in dealing with the Linux community and contributing to Open Source projects would be beneficial. Familiarity with any one of the domains such as Multi Media, Power management, Display technology, or OpenGL is required. Experience with Audio sub-system, Audio drivers, frameworks, ALSA SOC, and Audio protocols like I2S is preferred, along with proficiency in yocto development. It is essential to have a strong background in embedded systems development, as well as knowledge in System debugging and IPC, DMA driver development. Expertise in kernel mode driver programming in Linux, Linux Device driver programming in Linux Kernel and Drivers, and bug fixes and upstreaming in the Kernel are necessary. You should be accustomed to working in both individual and team environments, possess excellent problem-solving and debugging skills, and have strong written and verbal communication abilities. A self-motivated individual who can take the lead in mastering new technologies is preferred. Expertise with CAR Framework and automotive experience would be a plus. Key skills include Linux, Embedded, device driver, Graphics, Multi media, OpenCL, OpenGL, and RTOS.,
WE ARE HIRING -Inside Sales | Lead Generation | Pre-Sales Intern ! If youre someone who loves conversations, thrives on challenges, and wants to learn sales from the ground upthis internship is made for you! Duration: 3 Months Location: Jayanagar Bangalore Stipend: Paid internship What You'll Do: Lead Generation: Research and identify potential clients, qualify leads, and build a strong pipeline. Inside Sales : Reach out via LinkedIn, email, and calls to start conversations and schedule meetings. Pre-Sales : Assist in preparing proposals, pitch decks, and client presentations. Work closely with the Sales & Marketing teams on outreach campaigns. What Were Looking For: Strong communication & interpersonal skills. Interest in sales, business development, or client engagement. Comfortable using MS Office / Google Workspace; CRM knowledge is a plus. High energy, self-driven, and eager to learn. Perks : End-to-end exposure: Lead Gen Inside Sales Pre-Sales Hands-on client-facing experience & mentorship. Opportunity for a full-time role based on performance. Work in a dynamic, fast-paced team where youll make real impact.