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3.0 - 6.0 years

15 - 25 Lacs

bengaluru

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Position : Machine Learning Engineer - Generative AI / LLMs (Onsite - Bengaluru) Experience : 3+ years of industry experience in ML, software engineering, and data engineering. Education : Masters degree or equivalent experience in Machine Learning. Location : Bangalore (HSR Layout) Job Description: We are looking for a talented Machine Learning Engineer to join our AI team at our Bengaluru office (Onsite Only). In this role, you will work on cutting-edge solutions leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to solve complex real-world problems. Responsibilities: Design, build, and deploy ML models for NLP, Computer Vision, LLMs, and Generative AI use cases. Develop and maintain robust, scalable ML pipelines for training, evaluation, and deployment. Optimize model performance using cloud-based GPU resources and best practices. Implement scalable inference systems, A/B testing, and monitor production models. Collaborate with cross-functional teams to deliver AI-driven product features. Follow best practices in MLOps, LLMOps, Kubernetes, and Docker. Required Skills: Strong knowledge of Machine Learning, Deep Learning, NLP, and LLMs. Experience with Python, PyTorch, TensorFlow. Familiarity with Generative AI frameworks: Hugging Face, LangChain, MLFlow, LangGraph, LangFlow. Cloud platforms: AWS (SageMaker, Bedrock), Azure AI. Databases: MongoDB, PostgreSQL, Pinecone, ChromaDB. MLOps tools, Kubernetes, Docker. Preferred Qualifications: 3+ years of experience in ML/AI product development. Proven experience building and deploying NLP, LLM, and Generative AI solutions. Experience working with LLMOps best practices. Strong programming skills in Python and familiarity with JavaScript. Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

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4.0 - 6.0 years

3 - 6 Lacs

mumbai

Work from Office

Job Title : C++ Developer Duration : 1-year contractual position Experience Range : 4 to 6 years Notice Period : Within 20 days Location : Kandivali, Mumbai (Only local candidates of Mumbai are acceptable) Education : B.Tech, B.E Interview Process : 1st- Technical, 2nd - Technical round & 3rd - HR Round Mandatory : End-to-end C++ skills Job Description : We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products. Primary responsibilities : Software Development : - Develop and maintain high-performance applications using C++ and CUDA.- Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization : - Optimize CUDA kernels for performance, scalability, and memory efficiency. - Analyze performance bottlenecks and propose innovative solutions. Code Review and Testing : - Conduct code reviews to ensure adherence to coding standards and best practices.- Develop and execute test cases to validate functionality and performance. Collaboration : - Work closely with the software engineering and research teams to understand requirements and deliver robust solutions.- Provide technical guidance and mentoring to junior team members when necessary. Documentation : - Write and maintain technical documentation, including design specifications and user manuals. Required Skills : - C++ : Strong proficiency in modern C++ (C++11/14/17/20).- CUDA Programming : Extensive experience in developing, debugging, and optimizing CUDA applications.- GPU Optimization : Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA.- Parallel Computing : Solid understanding of parallel algorithms and multi-threaded programming.- Mathematical and Analytical Skills : Strong foundation in linear algebra, calculus, and numerical methods.- Tools : Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar.

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8.0 - 12.0 years

8 - 18 Lacs

bengaluru

Work from Office

Years of experience required: 8-12 with min 5+ in suitable area 4. GCC/non-GCC status: Non GCC 5. Location: Bangalore Perform system-level validation and debug of heterogeneous HPC compute subsystems involving CPU clusters, GPUs, AI accelerators, memory interconnects, and HSIO interfaces. Workload-oriented validation to ensure scaling, performance, and reliability. Validate CPU/GPU pipelines, AI engines, and shared memory interactions in server SoCs. Run performance and stress workloads (MLPerf, GPGPU, HPC apps) across compute domains. Debug coherency, cache, memory access, and interconnect issues (PCIe, CXL, HBM/DDR). Validate system-level power states, boot flows, and driver stack interactions. Automate regression, triage failures, and ensure data center readiness of silicon. Required Skills 8+ years in silicon validation of server-grade CPUs, GPUs, or AI, 8+ accelerators Deep understanding of HPC system architecture (NUMA, cluster modes, interconnect scaling). Multi-domain validation with experience in CPU-GPU-accelerator coherency testing. Strong understanding of coherency, interconnects, shared memory, and compute kernel behavior Memory and IO stress, bandwidth profiling, latency tuning Hands-on with debug tools, benchmarking, and Python/C-based test automation Familiarity with Linux platforms, HPC clusters, or virtualized server environment

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