🚀 Job Title: AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Qualifications - External - Undergraduate degree or equivalent experience. •5+ years of experience working with Python, AI •4+ years of experience with SQL Server, MYSQL, Oracle or other comparable RDMS database system •2+ years of experience with APIs / micro-services •2+ years of experience with CI/CD tools like Jenkins, GitHub Actions •1+ years of experience with code scanning and security tools for code vulnerability, code quality, secret scanning, penetration testing and threat modeling Preferred Qualifications: •Bachelor’s degree in computer science or related field •Experience with unit testing frameworks •Experience with version control systems like Git/GitHub •Proven ability to do POC on emerging tech-stack •Experience with Linux or Unix platform •Experience with RabbitMQ •Experience with Redis •Proven ability to independently troubleshoot problems and document RCAs •Experience with event steaming platforms such as Kafka Show more Show less

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: GEN AI Developer Key Skills: design, development, and deployment of scalable GenAI platforms Job Locations: Chennai , Bangalore Experience: 5 – 10 Years Budget: 13 – 16LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: We are seeking a highly skilled and motivated GenAI Infrastructure Architect and Developer to lead the design, development, and deployment of scalable GenAI platforms. This role will focus on building robust infrastructure to support agent-based systems, LLM orchestration, and real-time AI-driven automation across enterprise environments. Key Responsibilities: Architect and implement GenAI infrastructure using cloud-native technologies (AWS, Azure, GCP). Design and deploy scalable, secure, and resilient GenAI pipelines for model training, inference, and monitoring. Collaborate with cross-functional teams to integrate GenAI services into enterprise workflows (e.g., automation, observability, data pipelines). Optimize performance, cost, and reliability of GenAI workloads. Ensure compliance with security, governance, and data privacy standards. Required Skills: Strong experience with cloud platforms (AWS Bedrock, Azure AI, GCP Vertex AI). Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with GenAI frameworks like LangChain, AutoGen, LlamaIndex, or CrewAI. Hands-on experience with observability, logging, and monitoring tools. Understanding of LLM lifecycle management, prompt engineering, and fine-tuning. Knowledge of data engineering and MLOps practices. Interested Candidates please share your CV to jyothi.a@people-prime.com Show more Show less

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Innovation & Technology Job Number: WD30240361 Job Description Job Title: ML Platform Engineer – AI & Data Platforms ML Platform Engineering & MLOps (Azure-Focused) Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on automation, security, and scalability. Develop and manage infrastructure as code using Terraform, including provisioning compute clusters (e.g., Azure Kubernetes Service, Azure Machine Learning compute), storage, and networking. Implement robust model lifecycle management (versioning, monitoring, drift detection) with Azure-native MLOps components. Infrastructure & Cloud Architecture Design highly available and performant serving environments for LLM inference using Azure Kubernetes Service (AKS) and Azure Functions or App Services. Build and manage RAG pipelines using vector databases (e.g., Azure Cognitive Search, Redis, FAISS) and orchestrate with tools like LangChain or Semantic Kernel. Ensure security, logging, role-based access control (RBAC), and audit trails are implemented consistently across environments. Automation & CI/CD Pipelines Build reusable Azure DevOps pipelines for deploying ML assets (data pre-processing, model training, evaluation, and inference services). Use Terraform to automate provisioning of Azure resources, ensuring consistent and compliant environments for data science and engineering teams. Integrate automated testing, linting, monitoring, and rollback mechanisms into the ML deployment pipeline. Collaboration & Enablement Work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features. Contribute to solution architecture for real-time and batch AI use cases, including conversational AI, enterprise search, and summarization tools powered by LLMs. Provide technical guidance on cost optimization, scalability patterns, and high-availability ML deployments. Qualifications & Skills Required Experience Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 5+ years of experience in ML engineering, MLOps, or platform engineering roles. Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps. Proven experience managing infrastructure as code with Terraform in production environments. Technical Proficiency Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience in Bash or PowerShell. Experience with Docker and Kubernetes, especially within Azure (AKS). Familiarity with CI/CD principles, model registry, and ML artifact management using Azure ML and Azure DevOps Pipelines. Working knowledge of vector databases, caching strategies, and scalable inference architectures. Soft Skills & Mindset Systems thinker who can design, implement, and improve robust, automated ML systems. Excellent communication and documentation skills—capable of bridging platform and data science teams. Strong problem-solving mindset with a focus on delivery, reliability, and business impact. Preferred Qualifications Experience with LLMOps, prompt orchestration frameworks (LangChain, Semantic Kernel), and open-weight model deployment. Exposure to smart buildings, IoT, or edge-AI deployments. Understanding of governance, privacy, and compliance concerns in enterprise GenAI use cases. Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is a plus.

BENGALURU, KARNATAKA, INDIA FULL-TIME SOFTWARE ENGINEERING 3527 Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this hybrid role, you will report to a Software Engineering Manager. You will: Maximize performance of our neural networks by enhancing and extending our production grade compiler Work with hardware architects and model developers to develop understanding of our unique neural network inference platform and neural networks Implement compiler support for novel features of our high-performance architecture You have: BS degree in Computer Science/Electrical Engineering or equivalent practical experience and 3+ years of industry experience OR MS degree in Computer Science/Electrical Engineering and 1+ years of industry experience OR PhD Degree in Computer Science/Electrical Engineering or equivalent years of experience 1+ years of industry and/or academic experience with compilers and parallel computing 1+ years of industry and/or academic experience working with ML inference or linear algebra computations C++ programming skills We prefer: Python programming experience Experience with compilers for neural networks Knowledge of computer architectures used for neural network inference, and neural network performance characteristics Knowledge of the principles behind popular machine learning and neural network algorithms and applications The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range ₹3,400,000—₹4,110,000 INR

BENGALURU, KARNATAKA, INDIA FULL-TIME SOFTWARE ENGINEERING 3528 Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure the optimization of hardware and software for maximum performance. In this hybrid role, you will report to a Software Engineering Manager. You will: Analyze the performance characteristics of code generated by our production grade compiler, and design and implement optimizations to improve that performance Design and implement compiler support for novel features of our high-performance architecture Work with hardware architects to understand and influence the development of our unique neural network inference platform through hardware/software codesign Work with model developers to tune their neural networks for better inference efficiency and accuracy You have: BS degree in Computer Science/Electrical Engineering or equivalent experience and 5+ years of industry experience OR MS degree in Computer Science/Electrical Engineering and 3+ years of industry experience PhD degree in Computer Science/Electrical Engineering and 1+ years of industry experience 3+ years experience working on compilers for parallel architectures 1+ years experience working with ML inference or linear algebra computation C++ programming skills We prefer: Python programming experience Experience with compilers for neural networks Knowledge of computer architectures used for neural network inference, and neural network performance characteristics Knowledge of the principles behind popular machine learning and neural network algorithms and applications The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range ₹5,500,000—₹6,650,000 INR

We are seeking a highly experienced Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) and exposure to machine learning engineering (MLE) to support high-impact banking initiatives. The ideal candidate will combine hands-on engineering skills, architectural insight, and a proven track record of building secure, scalable, and intelligent data solutions in financial services. Location: Pune, India (Work from Office - Completely onsite) Experience Required: Minimum 45years Position Type: Full-time Start Date: Immediate or as per notice period Key Responsibilities : Provide technical leadership on GCP data projects, collaborating with business, data science, and ML teams. Design and implement scalable data pipelines using GCP tools (BigQuery, Dataflow, Composer, etc.). Support MLOps workflows, including feature engineering and real-time inference. Ensure secure, compliant, and high-quality data infrastructure aligned with banking standards. Optimize BigQuery performance and cost efficiency for large-scale datasets. Enable BI insights using tools like Power BI and Looker. Own the end-to-end data lifecycle across development, deployment, and monitoring. Required Skills: 6–10 years of experience in data engineering; 3+ on GCP. Deep proficiency in GCP services (BigQuery, Dataflow, Composer, Dataproc). Strong Python and SQL skills; familiarity with Terraform and CI/CD tools. Experience supporting ML pipelines and maintaining compliance in regulated environments. Preferred: GCP certifications (Professional Data Engineer / Architect). Familiarity with MLOps (Vertex AI, Kubeflow), financial data domains, and streaming data. Show more Show less

About Lighthouz AI Lighthouz AI is automating the back office of freight finance with freight-native AI agents. We help freight brokers, 3PLs, and factoring companies process invoices, rate confirmations, and PoDs in seconds—not hours—by replacing manual audits and brittle RPA with intelligent automation. Our platform handles real-world document chaos—scanned and handwritten paperwork, NOAs, BOLs, emails, and portal logins—executing complex workflows automatically. The result: faster payments, fewer disputes, and 10x operational throughput. We’re a Y Combinator S24 company founded by a team with deep experience across AI, supply chain, and enterprise systems (Google, Georgia Tech, Progressive, Halliburton). At Lighthouz, we’re not just streamlining freight finance—we’re rebuilding it from the ground up. About The Role We’re hiring a Senior AI Engineer with expertise in Computer Vision, document understanding, and voice AI to help build the brains behind our AI agents. You’ll work on the two core components of our AI agents – first, the core perception systems that extract structured insights from messy, real-world freight documents—handwritten, scanned, distorted, or multi-page – and second, our AI agents for email and voice communications between freight entities. You will do a lot of prompt engineering, fine-tuning LLMs, building large-scale document classification and entity extraction models, communication understanding, intent classification, and voice AI – your code will be at the heart of automating financial decision-making in freight. You’ll collaborate closely with the backend and product teams to bring AI models to life in production environments and continuously improve performance in the wild. What You’ll Do 👉🏼 Build and fine-tune AI models for document classification, OCR, entity recognition, and layout parsing\ 👉🏼 Build AI agents for email and phone communications between different freight accounting parties – payer and payee 👉🏼 Develop scalable pipelines for pre-processing, training, inference, and feedback loops\ 👉🏼 Evaluate and integrate VLMs 👉🏼 Annotate, clean, and curate diverse freight documents for robust model performance 👉🏼Build training, evaluation, and test datasets 👉🏼Identify issues identified in production data and fix them asap 👉🏼Iterate on improving existing and new AI stack \ 👉🏼 Productionize AI models as part of Lighthouz’s intelligent automation stack\ 👉🏼 Collaborate with backend engineers to integrate model outputs into document, email, and voice workflows\ 👉🏼 Continuously monitor and improve model performance in real-world conditions What We’re Looking For 👉🏼 7+ years experience in ML or AI roles, preferably focused on computer vision or document AI\ 👉🏼 Strong foundation in deep learning frameworks (e.g., PyTorch, TensorFlow)\ 👉🏼 Experience in fine-tuning VLMs and LLMs \ 👉🏼Experience in voice AI\ 👉🏼 Experience with document/image OCR, visual transformers, and multimodal models\ 👉🏼 Proficiency in Python and common ML tooling (e.g., Hugging Face, OpenCV, spaCy) \ 👉🏼 Hands-on experience training and deploying models in production\ 👉🏼 Strong problem-solving skills and a builder mindset—you move fast and iterate faster\ 👉🏼 Comfortable working with ambiguity and evolving datasets\ 👉🏼 Willingness to work long hours Nice to Have 👉🏼 Familiarity with freight, logistics, or fintech workflows\ 👉🏼 Experience with AWS, Azure, or GCP-based ML infrastructure\ 👉🏼 Exposure to RAG pipelines, foundation models, or vector search systems\ 👉🏼 Knowledge of document layout understanding (e.g., Donut, LayoutLM, PubLayNet)\ 👉🏼 Background in building secure, production-grade ML services What We Offer 💰 Competitive salary\ 🌎 Fully remote\ 🛠️ High ownership, zero bureaucracy—help shape our AI stack from day one\ 🚀 Work on impactful real-world problems that blend AI and automation at scale Show more Show less

Role : Software Engineer Python developer Who Are We Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference, analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Position Overview As a Python Developer, you will be responsible for developing robust architectures that are integral to our trading operations. You will design, build and scale core microservices that together form the complete control plane at Graviton. Your role will involve working closely with cross-functional teams to deliver high-performance solutions that drive our firm's success. Your Responsibilities Design, implement and maintain scalable and reliable systems. Write clean, maintainable and well-documented code. Optimize application performance, scalability and security. Collaborate with other stakeholders to understand requirements and translate them into technical solutions. Build reusable code libraries for future use. Troubleshoot, debug, and resolve technical issues in production environments. Ensure data integrity and security through robust database design and management. Participate in code reviews and contribute to best practices and process improvements. Troubleshooting and debugging to optimize performance. Your Skills & Talents Education : Bachelors degree in Computer Science, Engineering, or a related field. Skills Between 1 to 3 years of experience in Python and its ecosystem, with experience in backend frameworks. Experience with RESTful and Graph APIs. Hands-on experience with relational and non-relational databases. Understanding of system design patterns and best practices. Good knowledge of algorithms and data structures. Excellent problem-solving skills. Good understanding of Linux. Personal Attributes Strong problem-solving skills with the ability to work under pressure in a fast-paced environment. Excellent communication skills and ability to work collaboratively with technical and non-technical teams. Detail-oriented with a commitment to high-quality, reliable code. (ref:hirist.tech) Show more Show less

Job Summary: The VP - Machine Learning will lead a team of 20-40 engineers, including both senior and junior talent, to build and scale foundational models that define the next generation of AI applications in India. This role combines deep technical expertise with strategic leadership, requiring someone who can navigate the evolving landscape of AI research while delivering production-ready solutions at scale. Key Responsibilities: 1.Strategic Leadership and Vision Develop and execute comprehensive ML/AI strategies aligned with BharatGen's mission. Define the technical roadmap for foundational model development across text, speech, and vision modalities. Set clear goals for the engineering organization and ensure alignment with broader company objectives. Collaborate with the CTO and executive team to shape product strategy and business priorities. 2.Team Management and Development Lead and mentor a diverse team of 20-40 ML engineers, data scientists, and researchers across all experience levels. Build high-performing teams through strategic hiring, talent development, and performance management. Foster a culture of innovation, technical excellence, and continuous learning within the organization. Develop career progression pathways for both senior and junior engineers, ensuring knowledge transfer and skill development. 3.Technical Excellence and Innovation Oversee the entire machine learning lifecycle from research to production deployment for foundational models. Incorporate cutting-edge research and emerging trends in AI, particularly in foundation models and multimodal AI systems. Ensure engineering excellence through robust MLOps practices, scalable infrastructure, and production-quality code. Drive innovation in model architecture, training methodologies, and deployment strategies specific to diverse language and cultural contexts. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 4.Research Integration and Industry Trends Stay current with the latest developments in foundation models. Lead initiatives to incorporate multimodal AI capabilities. Evaluate and integrate emerging AI trends, including the shift toward AI-first applications and agentic solutions. Support partnerships with academic institutions and research organizations to maintain technical leadership. 5.Scaling and Operations Build and scale ML platforms and infrastructure to support foundational model development and deployment. Implement best practices for model training, evaluation, and monitoring at enterprise scale. Oversee the development of robust APIs and microservices for seamless integration of ML models into production environments. Ensure efficient resource utilization and cost optimization for large-scale model training and inference. 6.Cross-Functional Collaboration Work closely with product teams to translate business requirements into technical specifications. Collaborate with engineering teams on infrastructure, architecture, and scalability decisions Partner with business stakeholders to ensure ML solutions deliver measurable value and align with market needs. Communicate complex technical concepts to non-technical stakeholders across the organization. Minimum Qualifications and Experience: 1.Education and Experience: Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Artificial Intelligence, or related field. 8+ years of hands-on experience in machine learning and AI, with significant experience in foundational models or large-scale ML systems. 5+ years of leadership experience managing teams of engineers, with a proven track record of scaling technical organizations. Experience in both research and production environments, with understanding of how to bridge academic research and applications. 2.Technical Expertise: Deep expertise in foundational model architectures, training methodologies, and deployment strategies. Strong background in natural language processing, computer vision, and speech processing technologies. Experience with multimodal AI systems and cross-modal learning approaches. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 3.Leadership and Soft Skills: Exceptional leadership and team management capabilities, with experience developing both senior and junior talent. Strong strategic thinking and problem-solving abilities, with a track record of delivering complex technical projects. Excellent communication skills, capable of presenting to both technical teams and executive leadership. Experience with hiring, performance management, and organizational development in fast-growing companies. 4. Preferred Qualifications: Background in developing AI solutions for multilingual or multicultural contexts. Track record of publications in top-tier ML conferences or journals. Experience in startup or high-growth technology environments. Location of work: TIH-IoT, IIT Bombay Campus, Powai, Mumbai 400076. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred Job Description We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities Will Include Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What Are We Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS, EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We Would Love To See Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076101 Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred Job Description We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities Will Include Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What Are We Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS, EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We Would Love To See Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076102 Show more Show less

Job Title: AI/ML + Backend Developer (SEO Automation & Technical Implementation) Location: Remote (APAC preferred) | Full-Time or Contract 🔹About the Role We’re looking for a 3-7 years experienced technical powerhouse who blends backend engineering, AI/ML experience, and hands-on SEO implementation skills. This hybrid role will support our mission to scale intelligent SEO operations and automate key parts of our publishing workflows. You’ll build custom tools and systems that integrate machine learning, backend development, and SEO performance logic — from programmatic content generation and internal linking engines to technical audits, schema injection, and Google Search Console automations. 🔹What You'll Be Doing 🔧 Backend & Automation Development Build internal tools and APIs using Python or Node.js Automate content workflows (meta/gen content, redirects, schema, etc.) Integrate third-party APIs (GSC, Ahrefs, OpenAI, Gemini, Google Sheets) 🧠 AI/ML Workflows Apply NLP models for entity recognition, summarization, topic clustering Deploy and manage ML inference pipelines Work with LLMs to scale content enhancements (FAQs, headlines, refresh logic) ⚙️ SEO Automation & Technical Implementation Run and implement technical SEO audits (crawl issues, sitemaps, indexing, Core Web Vitals) Automate internal linking, canonical tags, redirects, structured data Use tools like Screaming Frog CLI, GSC API, and Cloudflare for scalable SEO execution 📈 Performance Monitoring Set up dashboards to monitor SEO KPIs and anomaly detection Build alerting systems for performance drops, crawl issues, or deindexed content 🔹 Key Skills Required Languages & Tools: Python (FastAPI, Pandas, Scrapy, etc.) and/or Node.js Databases (PostgreSQL, MongoDB, Redis) Docker, GitHub Actions, Cloud (GCP/AWS preferred) GSC API, Screaming Frog CLI, Google Sheets API OpenAI/Gemini API, LangChain or similar frameworks SEO Knowledge: Strong understanding of on-page and technical SEO Experience with programmatic content, schema markup, and CWV improvements Familiar with common issues like crawl depth, duplication, orphan pages, and indexability 🔹 Nice to Have Experience with content/media/publishing websites Familiarity with CI/CD and working in async product teams Exposure to headless CMS or WordPress API integrations Past experience automating large-scale content or SEO systems 🔹 What You'll Get The chance to work on large-scale content automation and modern SEO problems High autonomy, technical ownership, and visibility in decision-making Flexible remote work and performance-based incentives Direct collaboration with SEO strategy and editorial stakeholders . Show more Show less

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) - Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview: We’re looking for a Generative AI Engineer to join our client’s team and build intelligent systems powered by large language models and other generative AI architectures. This role involves developing and deploying LLM-based features, integrating vector search, fine-tuning models, and collaborating with product and engineering teams to ship robust, scalable GenAI applications. You’ll work across the GenAI stack — from prompt design to inference optimization — and shape how generative models are used in real-world products. Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers or LangChain Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Pinecone, FAISS) Engineer prompts for structured, reliable outputs across use cases (chatbots, summarization, coding copilots, etc.) Implement scalable inference pipelines and optimize latency, throughput, and cost using techniques like quantization or model distillation Collaborate with product, design, and frontend teams to integrate GenAI into user-facing features Monitor, evaluate, and continuously improve model performance, safety, and accuracy in production Ensure compliance with privacy, safety, and responsible AI practices (e.g., content filtering, output sanitization) Required Skills: Strong programming skills in Python, with familiarity in modern ML tooling Practical experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, LlamaIndex) Experience building or deploying RAG pipelines, including handling embeddings and vector search Understanding of transformer models, prompt engineering, and tokenization strategies Hands-on with APIs (OpenAI, Anthropic, Cohere, etc.) and model serving (FastAPI, Flask, etc.) Experience deploying ML models using Docker, Kubernetes, and/or cloud services (AWS/GCP/Azure) Comfortable with model evaluation, monitoring, and troubleshooting inference pipelines Nice to Have: Experience with multimodal models (e.g., diffusion models, TTS, image/video generation) Knowledge of RLHF, safety alignment, or model fine-tuning best practices Familiarity with open-source LLMs (e.g., Mistral, LLaMA, Falcon, Mixtral) and optimization (LoRA, quantization) Experience with LangChain agents, tool usage, and memory management Contributions to open-source GenAI projects or published demos/blogs on generative AI Exposure to frontend technologies (React/Next.js) for prototyping GenAI tools Educational Qualifications: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field Candidates with relevant project experience or open-source contributions may be considered regardless of formal degree Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview: We are looking for a Backend Engineer who can architect and build scalable, performant, and secure APIs and services. You’ll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure — and knows how to build reliable systems that scale. Responsibilities: Design, build, and maintain robust, scalable RESTful or GraphQL APIs Architect systems with clear data models and clean separation of concerns Optimize database performance through effective indexing, query tuning, and caching strategies Implement security best practices including authentication, authorization, rate limiting, and input validation Write unit, integration, and end-to-end tests to ensure system correctness and reliability Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast Troubleshoot performance bottlenecks, memory leaks, and outages in production environments Required Skills: Proficiency in one or more backend languages: Node.js (JavaScript/TypeScript), Python, Java, or Go Experience with backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases Expertise in API design, including REST, GraphQL, pagination, versioning, and error handling Familiarity with authentication protocols: JWT, OAuth2, session handling Solid grasp of security principles: XSS, CSRF, SQL Injection, secure password handling Experience with Docker for containerization and deploying microservices Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues Working knowledge of Git workflows and code review practices Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI Nice to Have: Experience with cloud platforms: AWS (EC2, S3, RDS, Lambda), GCP, or Azure Familiarity with Kubernetes or container orchestration for service scaling Hands-on with monitoring/logging tools: Prometheus, Grafana, ELK stack, Datadog, Sentry Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events Prior work on serverless architectures using AWS Lambda or GCP Functions Basic experience working with ETL pipelines or streaming data Integration experience with GenAI/ML inference layers is a plus Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline Equivalent practical experience or contributions to open-source backend projects are also considered Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About YUBI Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India’s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Loans – Term loans and working capital solutions for enterprises. Yubi Invest – Bond issuance and investments for institutional and retail participants. Yubi Pool– End-to-end securitisations and portfolio buyouts. Yubi Flow – A supply chain platform that offers trade financing solutions. Yubi Co.Lend – For banks and NBFCs for co-lending partnerships. Currently, we have boarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionising the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 650+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Responsibilities: Develop and enhance the ML platform to standardise model development and deployment workflows. Create reusable components to streamline the Data Science team's efforts and expedite the model lifecycle. Integrate models seamlessly with various products and systems. Implement robust logging and instrumentation for monitoring scoring requests for models in production. Establish systems for continuous model monitoring and trigger mechanisms for retraining based on performance metrics. Design and build A/B testing frameworks with support for canary deployments and shadow models to evaluate different model versions. Integrate data pipelines necessary for model retraining and update activities in production. Scale training and inference capabilities using standardised environment setups and deployment strategies. Incorporate open-source frameworks and proprietary tools into the MLOps pipeline to achieve development goals. Prototype and evaluate different open-source frameworks to identify optimal technology stacks for the pipeline. Focus on CI/CD pipeline integration for models and ensure seamless deployments in various environments. Requirements Overview: We are seeking a DevOps Engineer who excels in managing and automating cloud infrastructure, container orchestration, and deployment pipelines while possessing a solid understanding of software development practices. In this role, you will focus on creating robust, scalable infrastructure solutions, automating environments, and supporting application deployments. Key Responsibility Design, build, and maintain containerized environments using Docker and Kubernetes. Develop, deploy, and monitor applications and services within cloud environments (AWS(preferable), Azure, GCP). Automate infrastructure provisioning and configuration management using popular scripting languages (Python, Bash, etc.). Collaborate with development teams to support application deployment pipelines and integrate CI/CD practices. Debug and troubleshoot issues in production systems, ensuring high availability and performance. Implement monitoring, logging, and alerting mechanisms to proactively manage system health. Evaluate open-source and commercial tooling to optimize infrastructure and deployment workflows. Assist Data Science or development teams with setting up environments for experimentation and production deployment. Required Experience & Expertise: 1-3+ years of experience in DevOps, infrastructure management, or related fields with a strong emphasis on automation and containerization. Extensive hands-on experience with Docker and Kubernetes for building and managing containerized applications. Proficient programming and scripting skills, preferably in Python, with the ability to develop automation scripts and tools. Solid understanding of public cloud infrastructure (AWS(preferable), Azure, GCP) and associated services. Experience setting up and managing CI/CD pipelines and integrating configuration management tools. Strong problem-solving skills, with the ability to analyse complex issues and provide effective solutions. Exposure to deploying and monitoring applications in production environments. Familiarity with infrastructure-as-code (IaC) frameworks such as Terraform or CloudFormation is a plus. Preferred Qualifications: Background or exposure to Data Science related deployments or applications. Ability to work collaboratively in a fast-paced, cross-functional team environment. Experience evaluating and adopting new technologies and methodologies to streamline DevOps processes. Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Location: Hyderabad Staff Engineer (AISW) Job Location: Hyderabad More details below: About the team: Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world. Responsibilities: In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Work Experience: 9+ years of relevant work experience in software development. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding about Processor architecture, system design fundamentals. Strong development & programming skills in C and C++. Experience with embedded systems development or equivalent. Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Experience in embedded system development. Experience in C, C++, OOPS and Design patterns. Experience in Linux kernel or driver development is a plus. Strong OS concepts. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: More Details Below: Join The Exciting Generative AI Team At Qualcomm Focused On Integrating Cutting Edge GenAI Models On Qualcomm Chipsets. The Team Uses Qualcomm Chips’ Extensive Heterogeneous Computing Capabilities To Allow Inference Of GenAI Models On-Device Without A Need For Connection To The Cloud. Our Inference Engine Is Designed To Help Developers Run Neural Network Models Trained In A Variety Of Frameworks On Snapdragon Platforms At Blazing Speeds While Still Sipping The Smallest Amount Of Power. Utilize This Power Efficient Hardware And Software Stack To Run Large Language Models (LLMs) And Large Vision Models (LVM) At Near GPU Speeds! Responsibilities: In This Role, You Will Spearhead The Development And Commercialization Of The Qualcomm AI Runtime (QAIRT) SDK On Qualcomm SoCs. As An AI Inferencing Expert, You'll Push The Limits Of Performance From Large Models. Your Mastery In Deploying Large C/C++ Software Stacks Using Best Practices Will Be Essential. You'll Stay On The Cutting Edge Of GenAI Advancements, Understanding LLMs/Transformers And The Nuances Of Edge-Based GenAI Deployment. Most Importantly, Your Passion For The Role Of Edge In AI's Evolution Will Be Your Driving Force. Requirements: Master’s/Bachelor’s Degree In Computer Science Or Equivalent. 3+ Years Of Relevant Work Experience In Software Development. Strong Understanding Of Generative AI Models – LLM, LVM And LLMs And Building Blocks Floating-Point, Fixed-Point Representations And Quantization Concepts. Experience With Optimizing Algorithms For AI Hardware Accelerators (Like CPU/GPU/NPU). Strong Development Skills In C/C++ Excellent Analytical And Debugging Skills. Good Communication Skills (Verbal, Presentation, Written). Ability To Collaborate Across A Globally Diverse Team And Multiple Interests. Preferred Qualifications Strong Understanding Of SIMD Processor Architecture And System Design. Proficiency In Object-Oriented Software Development. Familiarity With Linux And Windows Environment Strong Background In Kernel Development For SIMD Architectures. Familiarity With Frameworks Like Llama.Cpp, MLX, And MLC Is A Plus. Good Knowledge Of PyTorch, TFLite, And ONNX Runtime Is Preferred. Experience With Parallel Computing Systems And Assembly Is A Plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Brief Description The Senior Engineer – AI & Edge Product Development is responsible for the design, development, integration, and optimization of advanced technology components within AI and computer vision-based product lines. This role spans edge and server hardware, embedded and cloud applications, system utilities and infrastructure alignment. The Senior Engineer contributes technically, drives implementation excellence, and provides mentoring support to junior engineers. 2.1. Key Responsibilities1. System Design & Development Develop core software modules for edge and server environments including system services, APIs, and AI integration layers. Participate in the design of end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment. 2. AI & Computer Vision Implementation Collaborate with data science teams to integrate AI/ML models into production pipelines. Optimize runtime performance and memory utilization for inference on edge devices (e.g., GPU, TPU, ARM platforms). 3. Hardware & Embedded Systems Coordination Ensure compatibility and performance alignment between software applications and underlying edge or server hardware. Work on low-level device interfaces, sensor control, and real-time data acquisition when required. 4. Application and Utility Development Contribute to the development of utilities for diagnostics, licensing, system configuration, remote updates, and monitoring. Ensure robust, user-oriented, and secure implementation of all services. 5. Infrastructure & Deployment Support Support infrastructure sizing and configuration based on AI workload profiles, latency requirements, and deployment architecture. Collaborate with DevOps for containerization, CI/CD setup, and deployment automation across environments. 7. Code Quality & Documentation Write clean, maintainable, and scalable code with unit tests and inline documentation. Participate in code reviews, performance tuning, and system debugging efforts. 8. Mentorship & Team Collaboration Provide technical mentorship to junior engineers and interns. Collaborate with product, QA, infrastructure, and hardware teams for coordinated execution. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Job Types: Full-time, Permanent Schedule: Fixed shift Monday to Friday Education: Bachelor's (Preferred) Experience: total work: 5 years (Preferred) C++: 5 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Brief Description The Technical Lead – AI, Embedded & Edge Systems is responsible for leading cross-functional engineering efforts in the design, development, and integration of AI-powered solutions across embedded hardware, edge/server devices, system software, and infrastructure components. The role bridges hardware-software co-design, system architecture, and execution leadership, ensuring delivery of scalable, high-performance, and secure computer vision and artificial intelligence and robotics products. 1.2. Key Responsibilities1. Technical Architecture & Design Lead end-to-end system design covering embedded hardware, edge/server platforms, and AI model integration. Define scalable and secure architectural frameworks for hardware-software interoperability, real-time processing, and data flow. 2. Embedded Systems & Hardware Solutioning Architect and develop embedded hardware systems (MCUs, SoCs, AI accelerators) for edge and server products. Supervise schematic reviews, PCB design validation, and bring-up of edge devices aligned with AI/CV use cases. 3. AI & Computer Vision Integration Coordinate with ML engineers to deploy and optimize CV models on heterogeneous hardware (GPU, IPU, NPU, SOCs etc.). Support model quantization, inference optimization, and real-time processing strategies on edge platforms. 4. Edge and Server Application Development Oversee development of core applications, services, middleware, and utilities on both embedded and server systems. Ensure fault-tolerant, modular, and interoperable implementations across deployment environments. 5. Infrastructure Recommendation & Integration Recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. Collaborate with DevOps and infra teams to establish deployment pipelines, configuration profiles, and monitoring strategies. 7. Team Leadership & Mentorship Lead and mentor a team of embedded engineers, application developers, and integration specialists. Conduct technical reviews, guide debugging sessions, and promote engineering best practices. 8. Stakeholder Collaboration Communicate and negotiate on technology and development aspects with product managers, architects, QA, and the peers in other organizations to ensure aligned development and seamless integration. Translate business requirements and user stories into actionable technical work plans. Preferred Skills Bachelor’s or Master’s degree in Electronics, Electrical, Computer Engineering, or related field. 5+ years of product development experience, preferably with embedded systems design and systems programming with at least 3 years in a technical leadership role. Strong expertise in embedded systems, circuit design, board bring-up, and firmware development. Proficient in Python, C/C++, and system-level programming with real-time constraints. Hands-on experience with edge AI deployment frameworks, embedded Linux, and driver development. Familiarity with infrastructure components (Docker, Kubernetes, CI/CD tools) Preferred Attributes Experience working on mission-critical or real-time AI/CV products (e.g., surveillance, robotics, smart infrastructure). Ability to navigate between low-level hardware issues and high-level application architecture. Strong documentation, communication, and team coordination skills. Exposure to regulatory or compliance-heavy product domains is an advantage. Job Types: Full-time, Permanent Schedule: Fixed shift Monday to Friday Education: Bachelor's (Preferred) Experience: total work: 5 years (Preferred) C++: 5 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. The WEKA® Data Platform sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey. What You'll Be Doing As an Integration Engineer at WEKA, you play a critical role in ensuring the quality and excellence of our world-class enterprise products. You’ll be part of an agile development team, working with the team’s developers to execute manual/automation tests and track quality assurance metrics to ensure product quality. You will also be responsible for assuring stable products with delightful usability. As An Integration Engineer, You’ll Test the complete storage solution. Design, develop, execute, and maintain test cases and procedures. Collaborate with teams to ensure product features are of high quality. Implement feedback and enhance coding practices based on reviews. Work as an embedded tester within the agile development test to define testing strategies for feature development. Work with product management and development teams to define use cases and acceptance testing criteria. Develop, execute, and maintain component, integration, regression, performance, stability and scalability tests. Identify product issues, write detailed bug reports, and track project quality metrics. Requirements Education: Bachelor's degree or higher in Computer Science or a related engineering field. At least 5 years in testing, specifically for storage solutions. Proficiency in Python and Shell programming language Strong experience in Linux/UNIX environments. Knowledge of storage protocols (NFS, SMB, CIFS, S3), RAID, snapshots, and file systems. Familiarity with public cloud infrastructures (AWS, GCP, Azure, VMware). Understanding of networking concepts, including firewalls and IPv4/IPv6. Experience with white-box and black-box testing methodologies. Proficiency in functional, system, performance, regression, and integration testing. It's Nice If You Have Knowledge of Kubernetes Hands-on experience with deployment, setup, and configuration of complex systems, preferably in the storage domain. Strong knowledge of operating system setups and configurations. Able to write code, work within user stories, and adhere to coding standards. Experience with Git, Jenkins, and Agile software development tools and processes. Ability to prioritize defects and determine risk based on objective, metrics-based data. Strong analytical and problem-solving skills. Strong team player with good communication skills and should be a self-starter Excellent time management skills, with the ability to independently prioritize, multitask, and work under deadlines in a fast-paced environment The WEKA Way We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards. We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation. We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable. We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win. Concerned that you don’t meet every qualification above? Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA. WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Python programming/Machine Learning concepts and Automation Testing ( Python framework, autoframework) Mandatory Job Overview Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world & also most advanced Autonomous features for AUTO industry. In this position, you will be responsible for the development of test frameworks for Qualcomm Neural Network (QNN). You will work with neural network frameworks like TensorFlow, Pytorch and develop the validation framework to gauge functionality, performance, precision, and power of QNN. You will work with the latest and greatest DNNs emerging from the research community. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our benchmarking and validation infrastructure from software engineering as well as machine learning standpoint. Minimum Qualifications Expertise in Developing test cases, automating the tests, test case execution and troubleshooting/analyzing problems Experience with Programming Language such as C, C++, Python, etc. Strong proficiency in Python Programming Solid understanding of OOPS, Automation and OS concepts. Hands-on with Jenkins for CI/CD Familiarity with Docker Knowledge of AI, ML and GenAI will be added advantage. Knowledge of version control systems like Git Strong Problem-Solving skills and ability to work in fast-paced environment. Live and breathe quality software development with excellent analytical and debugging skills. Excellent communication skills (verbal, presentation, written) Ability to collaborate across a globally diverse team and multiple interests Excellent communication skills (verbal, presentation, written), Strong problem-solving skills, Good time management skills,, excellent analytical and debugging skills, must be an effective team player, and should be self-driven. Preferred Qualifications Strong exposure to software testing methodologies and reporting. Experience with CI tools like Jenkins and Data visualization tools like power BI ,Tableau Development experience in Python & C++ Work Experience 1 to 6 years of relevant work experience in software dev/test development Educational Requirements Master’s/Bachelor's Computer Science, Computer Engineering, or Electrical Engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3071304 Show more Show less

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Overview Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world & also most advanced Autonomous features for AUTO industry. In this position, you will be responsible for the development of test frameworks for Qualcomm Neural Network (QNN). You will work with neural network frameworks like TensorFlow, Pytorch and develop the validation framework to gauge functionality, performance, precision, and power of QNN. You will work with the latest and greatest DNNs emerging from the research community. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our benchmarking and validation infrastructure from software engineering as well as machine learning standpoint. Qualifications Minimum Qualifications Expertise in Developing test cases, automating the tests, test case execution and troubleshooting/analyzing problems Strong development skills in Python. Strong understanding of Machine learning/Deep learning workflows.. Experience with at least one machine learning framework like TensorFlow, Pytorch, etc. Live and breathe quality software development with excellent analytical and debugging skills. Excellent communication skills (verbal, presentation, written) Ability to collaborate across a globally diverse team and multiple interests 8.Excellent communication skills (verbal, presentation, written), Strong problem-solving skills, Good time management skills,, excellent analytical and debugging skills, must be an effective team player, and should be self-driven. Preferred Qualifications Strong exposure to software testing methodologies and reporting. Experience with CI tools like Jenkins and Data visualization tools like power BI ,Tableau Development experience in Python & C++ Work Experience 1 to 6 years of relevant work experience in software dev/test development Requirements Educational Requirements Master’s/Bachelor's Computer Science, Computer Engineering, or Electrical Engineering Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3072331 Show more Show less