Job Title : B.Com Intern – Tally/SAP Accounting Knowledge Location : [Chennai, Koyembedu, Metro] Department : Finance & Accounts Duration : [3 to 6 months] Internship Stipend : [Good Perk] About the Role : We are seeking motivated B.Com students or recent graduates with working knowledge of Tally ERP 9 / Tally Prime or SAP (FICO module) for a hands-on internship in our finance and accounting department. The role offers exposure to real-time business accounting operations, GST, billing, and financial reporting. Key Responsibilities : Assist in day-to-day accounting entries using Tally / SAP . Maintain purchase, sales, and expense records. Support invoice generation and GST billing processes. Reconcile bank statements and vendor/customer accounts. Assist in preparing monthly financial reports and ledgers. Support documentation for audits and internal compliance. Help with inventory and stock movement tracking (if applicable). Participate in data entry, filing, and finance team activities. Eligibility : Pursuing or completed B.Com (General/Accounts/Finance) . Basic understanding of Accounting principles . Prior training or certification in Tally / SAP is preferred. Good Excel skills (VLOOKUP, Pivot Tables, etc.) are a plus. Strong attention to detail and willingness to learn. Show more Show less
Overview: Seeking an engineer to build and optimize high-throughput, low-latency LLM inference infrastructure using open-source models (Qwen, LLaMA, Mixtral) on multi-GPU systems (A100/H100). You’ll own performance tuning, model hosting, routing logic, speculative decoding, and cost-efficiency tooling. Must-Have Skills: Deep experience with vLLM, tensor/pipe parallelism, KV cache management Strong grasp of CUDA-level inference bottlenecks, FlashAttention2, quantization Familiarity with FP8, INT4, speculative decoding (e.g., TwinPilots, PowerInfer) Proven ability to scale LLMs across multi-GPU nodes (TP, DDP, inference routing) Python (systems-level), containerized deployments (Docker, GCP/AWS), load testing (Locust) Bonus: Experience with any-to-any model routing (e.g., text2sql, speech2text) Exposure to LangGraph, Triton kernels, or custom inference engines Has tuned models for <$0.50/M token inference at scale Highlight: Very good rate card for the best candidate fit. Show more Show less
Greetings, Looking for an experienced Account Executive for Chennai location. Experience- 4+ years Skills- Accounts, Bank transactions, GST, TDS, Invoicing Female candidate preferred Location- Koyambedu, Chennai Immediate joiner preferred
Be a Visionary : AI Solution Architect for Agentic Intelligence. Join our team and spearhead the development of groundbreaking agentic and LLM-powered enterprise solutions. As our AI Solution Architect, you will be instrumental in defining and delivering intelligent systems that redefine business capabilities. You will architect the core of autonomous interactions (A2A) and intelligent coordination (MCP), fueled by data from a multitude of sources. Your Impact Architect the Intelligent Future : Design end-to-end, scalable architectures for agentic AI and LLM-driven applications, including innovative multi-agent frameworks. And the future design patterns on A2A and MCP. Lead the Technological Edge : Drive the development of Python-based microservices for AI model orchestration and integration, leveraging the power of leading LLMs and agentic frameworks. Build the Data Foundation : Architect robust and efficient data injection pipelines to fuel our AI models with diverse data, ensuring real-time capabilities where needed. Deliver Tangible Results : Lead the end-to-end delivery of impactful AI solutions, demonstrating clear business value from concept to production. Champion AI Excellence : Stay at the forefront of AI research, guide technology decisions, and mentor our engineering team in best practices. Your Expertise Includes A proven history of successfully delivering at least three enterprise-grade AI projects involving agentic systems, LLM integration, or multi-agent platforms. Deep practical knowledge of agentic AI frameworks (AutoGPT, BabyAGI, ReAct) and the design of multi-agent systems. Comprehensive understanding of LLMs (OpenAI API, Hugging Face), including prompt engineering and fine-tuning methodologies. Extensive experience in building and deploying data ingestion pipelines from a variety of data sources and types. Mastery of Python and relevant development frameworks for AI model serving and orchestration. Demonstrated ability to deploy and scale AI solutions on major cloud platforms, utilizing containerization and CI/CD pipelines. Solid understanding and implementation of MLOps principles for the lifecycle management of AI models. Exceptional ability to communicate complex technical concepts effectively to diverse audiences. Ideally, You Also Have An advanced degree in a relevant technical field. Experience working within regulated industries. Knowledge of reinforcement learning and multi-agent RL techniques. Familiarity with A2A communication protocols and MCP orchestration engines. Join Us And Enjoy Competitive monthly compensation that reflects your expertise. The opportunity to own the technical vision and architecture of our AI products. Access to cutting-edge AI tools, platforms, and the latest research. A collaborative and dynamic startup environment where your contributions will have a significant impact. Ready to Architect the Future of AI? Please submit your resume, a portfolio showcasing at least three relevant AI projects (including architectural diagrams), and a brief statement outlining your experience with agentic AI, LLMs, A2A, MCP, and data injection strategies. (ref:hirist.tech) Show more Show less
Hi, Greetings CGS is hiring 3+ years experienced Data Scientists. Skillset - Python, Ai, ML, LLM, generative Ai, Deep learning, React, Fast API, Cloud No. of positions- 2 Notice period -Immediate to 15 days Location-Chennai (WFO)
Experience: 5+ years Location: Chennai (Work from Office preferred) Joining: Immediate preferred Key Responsibilities: Design and implement LLM-powered solutions including Retrieval-Augmented Generation (RAG) workflows Fine-tune, prompt-engineer, and evaluate large language models for specific business use cases Collaborate with product and engineering teams to integrate AI modules into production applications Analyze large, unstructured datasets and derive meaningful insights Stay updated on emerging trends in GenAI, foundation models, and open-source LLMs Must-Have Skills: Strong understanding of LLMs (OpenAI, Cohere, HuggingFace models, etc.) Hands-on experience with RAG pipelines , vector databases (FAISS, Pinecone, etc.), and retrieval strategies Proficient in Python and machine learning libraries (Transformers, LangChain, PyTorch/TensorFlow) Experience in data preprocessing , model evaluation , and deployment of NLP solutions Ability to translate business requirements into scalable ML solutions Good to Have: Knowledge of cloud platforms (AWS/GCP/Azure) Exposure to MLOps workflows and LLMOps tools Experience with open-source LLMs (LLaMA, Mistral, etc.) What We Offer: Opportunity to work on impactful AI projects Collaborative and innovative environment Competitive compensation and growth opportunities Job Types: Full-time, Freelance Pay: ₹700,000.00 - ₹1,300,000.00 per year Benefits: Health insurance Schedule: Day shift Work Location: In person Expected Start Date: 28/07/2025
Dear Candidate, Greetings from CGS!!! Experience- 4 to 10 years Skill set- Must be very strong in Python, Fast API, React, Full stack developer Notice period- Max 15 days Location- Chennai Please share your profile at anusha@constient.com
Hi, Greetings CGS is hiring 3+ years experienced Data Scientists. Skillset - Python, Ai, ML, LLM, generative Ai, Deep learning, React, Fast API, Agentic No. of positions- 6 Notice period -Immediate to 15 days Location-Chennai (WFO)
7+ year experienced Data Scientist with expertise in LLM, Agentic AI to join our Product team and contribute to the development. As a key member, you will work on cutting-edge AI/ML models, focusing on improving and scaling our AI-powered solutions. Required Candidate profile Experience with LLMs (OpenAI, LLaMA, Claude) Deep understanding of Agentic AI architectures Proficient in AI/ML frameworks, and cloud deployment Experience in building, deploying AI-driven products
As an engineer in this role, you will be responsible for building and optimizing high-throughput, low-latency LLM inference infrastructure. This will involve using open-source models such as Qwen, LLaMA, and Mixtral on multi-GPU systems like A100/H100. Your main areas of focus will include performance tuning, model hosting, routing logic, speculative decoding, and cost-efficiency tooling. To excel in this position, you must have deep experience with vLLM, tensor/pipe parallelism, and KV cache management. A strong understanding of CUDA-level inference bottlenecks, FlashAttention2, and quantization is essential. Additionally, familiarity with FP8, INT4, and speculative decoding (e.g., TwinPilots, PowerInfer) will be beneficial. You should also possess a proven ability to scale LLMs across multi-GPU nodes using TP, DDP, and inference routing techniques. Proficiency in Python at a systems level, experience with containerized deployments using tools like Docker, GCP, or AWS, and knowledge of load testing with Locust are required skills for this role. Any experience with any-to-any model routing (e.g., text2sql, speech2text) and exposure to LangGraph, Triton kernels, or custom inference engines will be considered a bonus. Moreover, if you have successfully tuned models for less than $0.50 per million token inference at scale, it will be an advantage. In return for your expertise and contributions, we offer a very competitive rate card for the best candidate who fits this role.,
7+ year experienced Data Scientist with expertise in LLM, Agentic AI to join our Product team and contribute to the development. As a key member, you will work on cutting-edge AI/ML models, focusing on improving and scaling our AI-powered solutions. Required Candidate profile Experience with LLMs (OpenAI, LLaMA, Claude) Deep understanding of Agentic AI architectures Proficient in AI/ML frameworks, and cloud deployment Experience in building, deploying AI-driven products