AI/ML Solution Architect at Urban Ridge Supplies

Hyderabad City Taluka, Sindh, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Infrastructure, AWS Cloud Services, AI/ML Training Frameworks, Cluster Orchestration, Performance Benchmarking, Cost Modeling, Real-Time Monitoring, Data Pipelines, Integration, Deployment, Inference Optimization, Production Inference Engines, Performance Engineering, System Architecture, Problem-Solving, Communication Skills

Industry

Retail Furniture and Home Furnishings

Description

Hyderabad 10-16 Years Full Time Roles and Responsibilities About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Key Responsibilities: Architecture & Infrastructure Design, implement, and optimize end-to-end ML training workflows including infrastructure setup, orchestration, fine-tuning, deployment, and monitoring. Evaluate and integrate multi-cloud and single-cloud training options across AWS and other major platforms. Lead cluster configuration, orchestration design, environment customization, and scaling strategies. Compare and recommend hardware options (GPUs, TPUs, accelerators) based on performance, cost, and availability. ‍ Performance & Optimization Conduct performance benchmarking, hardware comparisons, and cost-performance trade-off analysis. Implement real-time monitoring and control systems with metrics collection, observability, and custom performance tracking. Optimize cost models, budget predictability, and resource utilization. Data & Training Pipelines Architect and validate data pipelines with storage, persistence, and throughput optimization. Oversee data quality validation, pre-processing, and long-term experiment tracking. Support framework flexibility for diverse training techniques (supervised, unsupervised, fine-tuning, reinforcement learning). Integration & Deployment Ensure seamless deployment across multi-cloud environments with security, compliance, and regional availability considerations. Collaborate with DevOps and MLOps teams for automation, fault tolerance, job scheduling, and orchestration testing. Provide technical guidance on integration with existing enterprise systems. ‍ Analysis & Recommendations Lead result analysis, insight generation, and actionable recommendations for training performance and user experience improvements. Present performance claims, benchmarking reports, and speculative decoding insights to stakeholders. ‍ Qualifications Required B.E/Btech/M.E/MTech/M.S/MCAgraduate(preferably from a reputed college or University) Skills and Experience Required Technical Expertise 10+ years in architecture roles with at least 5 years in AI/ML infrastructure and large-scale training environments. Expert in AWS cloud services (EC2, S3, EKS, SageMaker, Batch, FSx, etc.) and familiar with Azure, GCP, and hybrid/multi-cloud setups. Strong knowledge of AI/ML training frameworks (PyTorch, TensorFlow, Hugging Face, DeepSpeed, Megatron, Ray, etc.). Proven experience with cluster orchestration tools (Kubernetes, Slurm, Ray, SageMaker, Kubeflow). Deep understanding of hardware architectures for AI workloads (NVIDIA, AMD, Intel Habana, TPU). ‍ Performance & Cost Management Demonstrated expertise in performance benchmarking, reliability testing, and training speed optimization. Skilled in cost modeling, budget forecasting, and cost-performance balancing. Monitoring & Observability Experience with real-time monitoring tools (Prometheus, Grafana, CloudWatch) and custom metric instrumentation. Familiarity with network performance testing, regional load testing, and multi-region deployment strategies. Soft Skills Strong problem-solving skills with an analytical mindset. Excellent communication skills to present technical trade-offs and strategic recommendations to executives and engineering teams. Ability to lead cross-functional teams and drive innovation in AI infrastructure. ‍ Other Required Skills LLM Inference Optimization Expert knowledge of inference optimization techniques including speculative decoding, KV cache optimization (MQA/GQA/PagedAttention), and dynamic batching. Deep understanding of prefill vs decode phases, memory-bound vs compute-bound operations. Experience with quantization methods (INT4/INT8, GPTQ, AWQ) and model parallelism strategies. Inference Frameworks Hands-on experience with production inference engines: vLLM, TensorRT-LLM, DeepSpeed-Inference, or TGI. Proficiency with serving frameworks: Triton Inference Server, KServe, or Ray Serve. Familiarity with kernel optimization libraries (FlashAttention, xFormers). Performance Engineering Proven ability to optimize inference metrics: TTFT (first token latency), ITL (inter-token latency), and throughput. Experience profiling and resolving GPU memory bottlenecks and OOM issues. Knowledge of hardware-specific optimizations for modern GPU architectures (A100/H100). System Architecture Design scalable inference systems meeting strict latency SLAs and throughput requirements. Implement production patterns for request routing, load balancing, and model versioning. Balance trade-offs between latency, throughput, cost per token, and model accuracy. ‍ Why you'll love working with us: We Offer: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment. Job Id: kzVHh/JQQJILsOP5/x/d7e/fCjtAmbEj6VXFIVIUn4p0FRHlzvIm7IKyZlS7CqcrOitvVwEW/6EwqDkJk4JsAFwP9fnga8f5oW3BKYtVk2mxgBHM03fQHg==

Responsibilities

The AI/ML Solution Architect will design, implement, and optimize ML training workflows, ensuring seamless deployment across multi-cloud environments. They will also lead performance benchmarking and provide actionable recommendations for training performance improvements.