Assembly Language Jobs in Bengaluru

Security Research Engineer Security Research Experience: 5 8 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod is a SaaS-based cybersecurity products company focused on prevention-first security. Our Saner Cloud platform is a unified CNAPP solution that combines AI-driven threat intelligence, automated vulnerability detection, and Cloud Security Posture Management (CSPM) to secure multi-cloud environments. Role Summary We are seeking a highly skilled Security Research Engineer to join our Security Research team. This role focuses on researching emerging cloud security threats, developing security intelligence feeds, building proof-of-concepts (PoCs) for misconfigurations, and creating automated remediation and compliance content. Key Responsibilities Threat Research: Conduct security research to develop intelligence feeds and checks with a strong emphasis on cloud security. Vulnerability & Risk Analysis: Identify and create PoCs for emerging cloud misconfigurations and security risks. Automation: Develop automation for research and validation tasks using Python or other scripting languages. Compliance & Remediation: Build remediation feeds for cloud misconfigurations and compliance benchmarks. Lifecycle Management: Manage the end-to-end lifecycle of research outputs, from initial development through production release. Required Qualifications & Skills Professional Experience: 5 8 years in security research or engineering, with at least 3 years in a senior technical role. Cloud Infrastructure: Hands-on experience with AWS, Azure, or GCP. Technical Fundamentals: Strong understanding of operating systems, networking, and computer science security. Programming: Proficiency in languages such as Python, C, C++, or Java. Environment Expertise: Experience across Linux/Unix, Windows, and virtualization environments. Compliance: Solid knowledge of cloud security and security benchmark compliance. Education Bachelor s degree (or equivalent) in Computer Science or a related field. Qualification : Bachelors degree (or equivalent) in Computer Science or a related field

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Senior Data Scientist - AI Employment Type: Full-Time Location: Bangalore, Karnataka, India Experience Required: 2+ years Job Summary: 5C Network is developing multi-modal AI solutions for autonomous diagnosis of medical imaging. This role focuses on building and deploying advanced AI models using Computer Vision and Vision Language Models to analyze CT and MRI scans, helping detect, segment, and classify abnormalities. Key Responsibilities: Develop, train, and implement computer vision models, VLMs, and 3D models on CT and MRI imaging data. Collaborate closely with leading radiologists and AI researchers from India and the US. Work with product and engineering teams to deploy and operationalize AI models effectively. Contribute to cutting-edge research and assist in publishing findings in academic journals and conferences. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or related fields. Proven experience in training and deploying deep learning-based computer vision models. Strong interest or experience in healthcare AI applications. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively in a research-driven, team-oriented environment. Technical Requirements: 2+ years of hands-on experience with deep learning. Proficient in Python and deep learning frameworks, especially PyTorch. Experience with well-known computer vision architectures (ResNet, DenseNet, U-Net, Vision Transformers, V-Net, etc.). Expertise in building deep learning architectures from scratch. Experience working with Large Language Models (LLMs) is a plus. Knowledge of model pruning, quantization, and scaling model training and inference on GPUs. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or related fields.

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Job Title: Solution Architect Robotics & Automation Location: Bengaluru Role and Responsibilities Engage closely with customers to understand their applications and translate requirements into detailed Solution Requirement Documents (SRD) for internal delivery. Conduct feasibility studies considering engineering constraints, system integration, ergonomics, unit economics, and process optimization. Design scalable, modular, and serviceable end-to-end automation solutions including factory layouts and workflow automation. Develop detailed solution architectures for automation systems (cells, lines), decomposing into hardware, software, and functional components. Analyze and optimize production processes using simulation tools, addressing bottlenecks to improve cycle times, throughput, and efficiency. Resolve robotic automation challenges such as part presentation, variability, path planning, precision, throughput, reliability, and safety compliance. Plan and manage project workflows, milestones, development, and testing cycles with a focus on process optimization and cycle time analysis. Create and implement test and validation frameworks for design, integration, performance, and safety based on simulation insights. Lead and collaborate with multidisciplinary teams (hardware, software, simulation) and communicate simulation outcomes effectively to customers. Provide ongoing technical guidance and support to customers throughout project lifecycles, tailoring solutions to operational needs. Oversee project planning, execution, and delivery ensuring alignment with customer expectations and production objectives. Skills and Experience Proven expertise in designing and delivering comprehensive robotic and automation solutions end-to-end. Skilled in creating scalable, modular, industry-agnostic system architectures enabling seamless production line integration. Experienced in leading multidisciplinary teams to successful solution delivery. Strong knowledge of warehousing, manufacturing, and assembly processes with an ability to customize solutions to diverse industries. Ability to troubleshoot complex technical issues and optimize performance using advanced simulation tools. Excellent communication skills, capable of explaining technical concepts and simulation results to both technical and non-technical stakeholders. Familiarity with PLCs, IPCs, sensors, IO devices, and communication protocols such as Modbus and Ethernet. Basic programming skills in Python, C++, or similar languages. Strong analytical and problem-solving aptitude with focus on production process optimization. Experience visualizing robotic work envelopes and motion constraints via simulation. Required Qualifications Bachelor s or Master s degree in Robotics, Mechatronics, Mechanical Engineering, Computer Science, or related field. Minimum 5 years experience in solution engineering or a similar role within industrial engineering. Proven customer-facing experience, preferably delivering solutions to large or Fortune 500 clients. Strong technical foundation in robotics, industrial machinery, and system-to-site integration. Demonstrated leadership in managing cross-functional teams and multiple projects. Excellent interpersonal and communication skills. Hands-on experience designing automation cells and systems. Additional Preferred Qualifications Master s degree in relevant discipline. 8-10 years of experience as a solution architect or similar senior role. Proficiency with factory simulation tools such as Siemens Plant Simulation, FlexSim, or equivalent. Credible project management experience. Familiarity with modern software development practices including Git and CI/CD pipelines. Qualification : Bachelors or Masters degree in Robotics, Mechatronics, Mechanical Engineering, Computer Science, or related field.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

AI-ML Technologist Bangalore, India Location: Bangalore Experience: 3 to 10 Years Job Role: AI-ML Technologist Industry: IT Software / Artificial Intelligence & Machine Learning Job Summary: We are looking for a highly skilled AI-ML Technologist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision. The ideal candidate will have hands-on experience in developing intelligent solutions using Python and other programming languages and frameworks. Key Responsibilities: Develop and deploy AI/ML models for various applications including Natural Language Processing (NLP), Computer Vision, and Cognitive Computing Design and implement deep learning architectures such as RNN, LSTM, and Reinforcement Learning algorithms Process and analyze diverse data types including text, speech, images, videos, and real-time streams from IoT devices and sensors Collaborate on AI system architecture and design using UML and related tools Utilize AI/ML frameworks such as TensorFlow, PyTorch (Torch), and Caffe for model development and training Apply cognitive search techniques and build scalable AI-driven applications Required Skills: Strong programming skills in Python, with experience in other languages like Java, C/C++, or R Proven experience with AI/ML frameworks: TensorFlow, PyTorch, Caffe, or similar Deep understanding of Deep Learning, Recurrent Neural Networks (RNN/LSTM), and Reinforcement Learning Expertise in Natural Language Processing (NLP) and Computer Vision technologies Experience handling large-scale and multi-modal data from various sources such as text, speech, images, video, and IoT streams Solid foundation in Machine Learning, Cognitive Computing, and Artificial Intelligence principles Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms for AI/ML deployment (AWS, Azure, GCP) Work on cutting-edge AI and ML technologies impacting real-world applications Collaborate with a team of experts in a fast-paced, innovation-driven environment Opportunities for continuous learning and career growth in AI/ML domain Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Roles and Responsibilities Responsible for power management verification includes Boot, Reset, clock gating, power gating, Voltage/frequency management, limit management and throttling. Work closely with design/verification teams within CPU to develop comprehensive test plan. Use simulation and formal verification methodologies to execute test plans. Write checkers, assertions and develop stimulus. Verify power intent through use of methodologies like UPF. Work closely with system architects, software teams and Soc team to validate system use cases. Work closely with emulation team to enable verification on emulators and FPGA platforms. Debug and triage failures in simulation, emulation and/or Silicon. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Minimum Requirements: BE/BTech degree in CS/EE with 8+ years experience. Experience in power management verification. Implementation of assembly and C language embedded firmware. Experience in C/C++, scripting languages, Verilog/system Verilog. Strong understanding of power management features in CPUs and CPU based Socs. Experience in verification of power management features such as clock gating, power gating, UPF, DVFS/DCVS, reliability, throttling etc. Preferred Requirements: Good Understanding of CPU architectures and CPU micro-architectures. In-depth knowledge of digital logic design, micro-processor, debug feature, and DFT architecture and microarchitecture Experience with advanced verification techniques such as formal and assertions is a plus Knowledge and verification experience in DFT and structural debug concepts and methodologies: JTAG, IEEE1500, MBIST, scan dump, memory dump is a plus. Qualification : BE/BTech degree in CS/EE

Job Description: Experienced in at least one of the industry wide 3D CAD Design packages with wire harness design routing add-ons (Unigraphics NX, CATIA, etc.) Proficiency in NX Electrical Workbenches, Part and Assembly Design. Experience within the automotive industry. Work experience in PDM/PLM tool Good Communication skills German language proficiency would be an added advantage. Good understanding of automotive electrical packaging concept and Electrical/mechanical interfaces. Educational Qualification: B.E / B.Tech (Automobile/Mechanical/Electrical Engineering) Number of Positions: 10 Skills: UGNX / Catia

Software Engineer - Power Management Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary We are looking for a Software Engineer to work in the platform power area of the Windows on Snapdragon team. The candidate will be responsible for designing, developing, and validating device power management, microprocessor power management, and thermal management solutions across various Windows on Snapdragon products. The role focuses on achieving optimal power and performance from the chipset. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. The Ideal Candidate Should Have Experience with Embedded Windows software and strong driver programming skills. Solid understanding of Operating System concepts. Windows kernel driver development experience. Hands-on experience in implementing power/thermal management software, state machines, ACPI, and UEFI. Strong programming skills in C/C++, along with proficiency in Shell Scripting or Python. Experience debugging ARM or other SoC embedded systems. Strong communication and interpersonal skills. Excellent problem-solving and debugging abilities. Ability to coordinate across stakeholders and drive tasks to completion. Experience 1+ years of Software Engineering or related work experience. Expertise in Windows OS internals and Windows driver development related to power and thermal management. Experience with Windows device driver programming and debugging using tools like WinDbg and JTAG. Familiarity with ARM processor architecture and Assembly Language. Knowledge of PC software such as System BIOS, UEFI, ACPI, drivers, and applications. Experience with embedded operating systems, including kernel architecture, OS services, heap and memory management, multi-core and multi-threading environments, and crash debugging. Understanding of system performance profiling and optimization techniques. Strong written and verbal communication skills, self-motivation, and the ability to quickly learn new technologies. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm's toll-free number available on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities throughout the hiring process. Qualcomm is also committed to ensuring that the workplace is accessible for individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Status updates on applications or resume inquiries will not be provided via this channel.) Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Full-Stack Developer - Windows on Snapdragon Platform Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary Qualcomm Technologies Inc., the maker of the industry-leading Snapdragon SoCs, is the largest provider of complete chipset solutions for Microsoft Windows on Snapdragon products. Qualcomm is committed to developing solutions for the next generation of Windows on Snapdragon devices. The ideal software engineer will act as a key member of an Agile Scrum Team and play a pivotal role in the end-to-end lifecycle of all Windows-on-Snapdragon product lines. This role requires strong software development skills to act as a hands-on contributor responsible for gathering requirements, designing, and developing improvements to the Windows-on-Snapdragon continuous integration build systems, software release process, and developer operations tools. Strong communication and collaboration skills are essential, as this platform team works closely with internal and external teams to bring up, support, triage, and resolve issues on Qualcomm chipsets. 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 Languages such as C, C++, Java, Python, etc. Key Responsibilities Design, develop, test, and maintain web applications using Python and C#. Implement front-end interfaces using ASP.net, HTML, CSS, and JavaScript. Design and maintain SQL databases, writing efficient SQL queries. Develop and maintain automation scripts using PowerShell, CMD, and BAT. Work within version control systems such as Git and Perforce. Contribute to embedded Windows software development with solid programming skills. Apply strong understanding of Operating System concepts, both Windows and Linux. Participate in Windows and/or Linux kernel development activities. Preferred Qualifications 2-5 years of Software Engineering or related work experience. Proficiency in Python, C/C++/C#, SQL, and Shell Scripting. Strong communication and interpersonal skills. Effective problem-solving and debugging capabilities. Experience with Windows OS internals. Experience debugging device drivers using WinDbg, JTAG, or similar tools. Basic understanding of processor architecture and cache subsystems. Experience with PC software development (System BIOS, UEFI, ACPI, Drivers, Applications). Working knowledge of Jenkins and Artifactory. Hands-on experience with Windows program/driver development. Proficiency in Visual Studio as an integrated development environment. Exposure to ARM assembly. Basic understanding of Embedded OS (Kernel architecture, OS services, heap, memory management, multi-core processing, multi-threading, and crash debugging). Strong motivation and ability to learn quickly. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number listed on their careers page. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities during the hiring process. (Please note: this email address is intended solely for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries through this contact.) Recruitment Policy Qualcomm s Careers Site is exclusively for individuals seeking employment directly with Qualcomm. Staffing agencies and third-party recruiters are not authorized to submit profiles, applications, or resumes via this site. Any such submissions will be considered unsolicited, and Qualcomm will not be responsible for any associated fees. Compliance Notice All Qualcomm employees must adhere to applicable company policies and procedures, including but not limited to those regarding security, confidentiality, and protection of proprietary information, in compliance with applicable laws.

Software Engineer - Platform Power (Windows on Snapdragon Team) Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary We are seeking a Software Engineer to work in the platform power area of the Windows on Snapdragon team. The selected candidate will be responsible for designing, developing, and validating device power management, microprocessor power management, and thermal management for various Windows on Snapdragon products. The objective is to achieve optimal power and performance from the chipset. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Required Skills and Experience Experience in Embedded Windows software development and driver programming. Solid understanding of Operating System concepts. Hands-on experience with Windows kernel driver development. Experience implementing power/thermal management software, state machines, ACPI, and UEFI. Strong programming skills in C/C++, Shell Scripting, or Python. Proficiency in debugging ARM or other SoC embedded systems. Excellent communication and interpersonal skills. Strong analytical, problem-solving, and debugging capabilities. Ability to collaborate across teams and drive task completion. Technical Expertise 1+ years of Software Engineering or related work experience. Expertise in C/C++ programming. Knowledge of Windows OS internals and Windows driver development related to power/thermal management. Experience with Windows device driver programming and debugging using tools like WinDbg, JTAG, etc. Familiarity with ARM processor architecture and assembly language. Exposure to PC software components such as System BIOS, UEFI, ACPI, Drivers, and Applications. Understanding of Embedded OS concepts, including Kernel architecture, OS services, memory management, multi-core processing, multi-threading, and crash debugging. Knowledge of OS/system performance profiling and optimization techniques. Strong written and verbal communication skills, along with a high level of motivation and eagerness to learn. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field.

CPU Verification Engineer Company Arm Location Bengaluru Job Overview Responsibilities Contribute technically as part of project teams to deliver high-quality ARM CPU designs. Execute comprehensive CPU design verification, focusing on improving design quality through stress testing and bug identification. Effectively plan, conduct reviews, provide status updates, and meet delivery expectations. Collaborate with design and architecture teams to ensure effective coverage and provide accurate project planning inputs. Design and develop verification testbenches and components required for effective verification. Maintain knowledge of company processes to work effectively within defined standards and methodologies. Drive efficiency improvements in verification tools and methodologies and mentor team members to support career development. Required Skills and Experience 3+ years of experience in CPU, IP, or SoC product development environments. Experience in design verification/validation, including developing test plans, testbenches, and executing measurable verification processes. Familiarity with processor verification using assembly language and C/C++. Knowledge of microprocessor and/or SoC architecture and microarchitecture, preferably ARM processors and ARM-based systems. Strong problem-solving and debugging skills, with a commitment to continuous improvement. Nice-To-Have Skills and Experience Strong understanding of CPU architecture and microarchitecture. Experience with ARM-based system designs and hierarchical memory systems. Programming languages: Verilog, Assembly, C/C++, Perl, Python. Experience with verification languages such as SystemVerilog. Familiarity with power-aware verification methodologies. What Arm Offers This is a fantastic opportunity to shape the future of CPU verification at Arm while advancing your own career. Join our CPU design verification team and play a key role in delivering Arm's strategic goals! #LI-KR2

Job Overview: The Architecture and Technology Group (ATG) at Arm develops technologies and products for Arm s future architecture roadmap. In ATG, we are developing world-leading Secure CPU and System architectures and associated technologies; enabling our ecosystem to build compelling products. Along with the architecture definition, ATG develops products to confirm compliance to the architecture. The ATG team located in Bangalore develops a product called Architecture Compliance Kits (ACK) that are delivered to multiple internal and external CPU design teams to validate that Arm architecture CPU implementations are compliant with the Arm architecture. You will learn Arm Architecture and apply it along with hardware and software verification skills to develop products for verifying the Architecture. You will develop good engineering and technical skills, and a fair understanding of CPU architecture and microarchitecture. You will connect with a wide range of teams within ATG, architects, and with our external partners. In this role, you will also develop solutions for future Arm architecture developments and influence the product offering. Responsibilities: Technical expertise, understanding architecture definitions, carrying out investigations and feasibility studies, defining and developing verification strategies, and contributing to the development of compliance products. Design verification test plans and test cases in assembly, C, HVL, and higher abstraction languages using automation techniques as needed. Strong and continuous communication on deliveries and risks, ensuring that all engineering commitments are delivered successfully. Drive efficiency improvements through adoption of the right development flows and methodologies. Excellent verbal and written communication skills. Required Skills and Experience: B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering. 8+ years of verification experience (CPU/complex IP verification is a plus). Strong understanding of computer architecture. Proficiency in logical programming using C/C++/Assembly with experience in adopting software engineering best practices. Nice To Have Skills and Experience: Experience in CPU verification would be a plus. Knowledge of x86 or Arm processor architecture. We are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to surpass ordinary and craft outstanding products and careers. In Return: We promise you endless opportunities to experiment and go even further in hardware! From architecture definition to complex core implementation to full custom physical IPs, here you'll have our backing to push limits in vital areas. #LI-KR2 Qualification : B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering.