10 Aiml Systems Jobs

As a talented and motivated Senior Software Engineer at Growexx, you will be responsible for leading the design and development of scalable, high-performance software systems. Your role will involve driving architectural decisions, mentoring junior engineers, and contributing to the strategic direction of the technology stack to deliver impactful solutions that empower customers. You will lead the design, development, and deployment of core platform features and services, architect scalable and maintainable systems focusing on performance, security, and reliability. Collaborating with product, design, and data teams to translate business requirements into technical solutions will be a key aspect of your responsibilities. Additionally, you will mentor and support junior engineers through code reviews, pair programming, and knowledge sharing. Your expertise in data-intensive applications, analytics platforms, or AI/ML systems, familiarity with event-driven architectures and streaming technologies such as Kafka and Pulsar, and contributions to open-source projects or technical publications will be valuable. Proficiency in modern programming languages like Python, Go, TypeScript, or Java, along with experience in cloud-native architectures (AWS, Azure, or GCP), distributed systems, microservices, and API design will be essential. You should also have proven experience with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps practices. In terms of education and experience, a B.Tech, B.E., MCA, or BCA degree coupled with 5+ years of professional experience in Python development, particularly focusing on backend systems, is required. Excellent communication and leadership skills are also essential for this role. Analytical and personal skills that will be beneficial for this position include good logical reasoning, ability to break down big goals into small incremental actions, excellent communication and collaboration skills, ownership, accountability, attention to detail, self-criticism, and a positive and cheerful outlook in life.,

SquareShift is a Chennai-based, high-growth software services firm with a global presence in the US and Singapore. Established in 2019, we specialize in providing AI-led cloud and data solutions, including Google Cloud Platform consulting, Elasticsearch-based observability, data engineering, machine learning, and secure, scalable product engineering across various industries such as banking, retail, and hi-tech. As an official Google Cloud Partner and Elastic Partner, we assist enterprises in modernizing, innovating, and scaling through multi-cloud architectures, AI-powered platforms, and cutting-edge R&D initiatives. Our Innovation & Research Lab rapidly develops proofs-of-concept (POCs) in AI, analytics, and emerging technologies to drive business value with speed and precision. We are on a mission to become the most trusted partner in enterprise cloud adoption by solving complex challenges through innovation, execution excellence, and a culture that emphasizes learning, action, quality, and a strong sense of belonging. The Vice President / Head of Engineering at SquareShift will lead our global engineering organization from Chennai, defining the technology vision, driving innovation, and scaling high-performance teams. This role combines strategic leadership, deep technical expertise, and hands-on engagement with customers and partners to deliver cutting-edge, cloud-enabled, AI-driven solutions. Key Responsibilities: **Technology & Strategy** - Define and execute the engineering strategy aligned with corporate goals and evolving market trends. - Lead multi-stack engineering delivery across web, mobile, backend, AI/ML, and cloud platforms. - Oversee cloud-native architectures with a strong focus on Google Cloud Platform and ensure integration with AWS/Azure as necessary. **Leadership & Execution** - Build, mentor, and manage a world-class engineering team in Chennai and other global locations. - Drive agile delivery excellence, ensuring projects are delivered on time, within budget, and to world-class standards. - Promote DevOps, CI/CD, microservices, and secure-by-design development practices. **Innovation & R&D** - Lead the Proof of Concept (POC) & Research Department to explore and validate AI, ElasticSearch, data engineering, and emerging technologies. - Collaborate with Google Cloud and Elastics engineering teams on joint innovations. - Rapidly prototype, test, and deploy solutions for enterprise digital transformation. Requirements: **Client & Business Engagement** - Partner with sales, pre-sales, and delivery leadership to shape technical proposals and architectures. - Engage with C-level executives of client organizations to define and deliver technology roadmaps. - Own engineering resource planning, budget control, and capacity scaling. Required Skills & Qualifications: - 15+ years in software engineering, including 7+ years in senior leadership roles. - Proven success in leading multi-stack, multi-cloud teams using various technologies. - Hands-on expertise in Google Cloud Platform, ElasticSearch, and AI/ML systems. - Experience in POC and rapid prototyping environments. - Strong background in security, compliance, and enterprise architecture. - Excellent leadership, stakeholder management, and communication skills. Preferred Attributes: - Experience in partner ecosystem collaboration. - History of building and scaling R&D teams in India. - Exposure to digital transformation projects for enterprise clients. - Innovative, entrepreneurial, and technology-forward mindset. Why Join Us - Lead the engineering vision of a global GCP & Elastic partner from Chennai. - Directly influence AI, cloud, and search innovation for Fortune 500 clients. - Build and shape world-class engineering teams and research labs. - Work in a culture that celebrates innovation, speed, and excellence.,

We are searching for an experienced Senior ML/Back-End Engineer who possesses a solid foundation in cloud architecture, AI/ML systems, and large-scale distributed applications. Your role will involve collaborating with data scientists, engineers, and business stakeholders to create, deploy, and manage production-grade AI/ML solutions essential for mission-critical systems. As a Senior Engineer, you will oversee the end-to-end architecture, development, and optimization of ML-enabled platforms. Additionally, you will lead key initiatives, mentor team members, and promote best practices throughout the organization. Requirements: - Hold an MS or PhD in Computer Science or a related field - Possess 5 to 10 years of industry experience as a Back-End Engineer, ML Engineer, or Research Engineer - Demonstrate deep functional knowledge and hands-on experience with technologies such as AWS or GCP cloud services, RESTful Web Services, and Containerization (Docker, ECS, Kubernetes) - Familiarity with modern AI tools like LLMs, Embedding models, and vector databases - Experience with AI/ML Ops tools and platforms (e.g. AWS Bedrock, GCP Vertex AI, Databricks) - Understanding of basic Data Science concepts - Proficiency in architecting and implementing large-scale, highly integrated, distributed user-facing applications and tools - Experience with version control tools like Git - Ability to implement a resilient web architecture - Strong background in building web products from end to end, with a deep understanding of web principles and best practices - Experience in building AI applications or familiarity with Machine Learning and Deep Learning concepts - Knowledge or experience in time series analysis - Advanced Data Science skills, including familiarity with financial datasets and fine-tuning ML/DL models - Capable of working on a hybrid model, commuting 3 days a week to an office in Bangalore Job Responsibilities: - Collaborate with an agile scrum team, demonstrating progress through proof of concept, sandboxing, and prototyping - Architect and design scalable, maintainable, secure, and reusable strategic solutions - Deploy, monitor, and manage ML models in production environments using MLOps best practices - Work closely with data scientists to transition models from development to production efficiently - Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness - Design and implement frameworks and tools to empower other developers and non-technical colleagues - Estimate timelines, perform task breakdown, scoping, design, and implementation for mid-to-large scale products and complex multi-month deliverables - Lead key team initiatives by managing and improving the entire software development life cycle - Identify opportunities to enhance quality and efficiency from initial ideation to deployment - Communicate progress, share knowledge, and evangelize best practices across multiple groups - Conduct code reviews for peers, contributing to collaborative working models - Recommend approaches to solving complex problems using new technologies to achieve goals - Own, deploy, monitor, and operate large-scale production systems distributed globally - Lead and mentor junior engineers in building production-grade systems and applications that scale and perform - Serve as a technical liaison to business teams, translating business needs into technical solutions What we offer: At GlobalLogic, we prioritize a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and a high-trust organization. By joining our team, you will experience an inclusive culture, have opportunities for personal and professional growth, engage in impactful projects, achieve work-life balance, and be part of a high-trust global company committed to integrity and trust. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner renowned for collaborating with the world's largest companies to create innovative digital products and experiences. Since 2000, we have been driving the digital revolution by transforming businesses and industries through intelligent products, platforms, and services.,

As the Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for our edge AI applications. Your deep technical expertise in AI/ML systems will ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. Leading cross-functional teams, you will establish robust security frameworks and quality processes tailored specifically for AI applications deployed at the edge. In terms of security leadership, you will design and implement comprehensive security frameworks for edge AI applications, conduct threat assessments, establish security testing protocols, ensure compliance with industry standards, and implement privacy-preserving techniques. Additionally, you will develop and execute comprehensive QA strategies for edge AI products, create detailed test plans, lead and mentor QA engineers, establish quality metrics, and continuously optimize testing processes for edge AI applications. Your background should include a Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, along with 10+ years of experience in product security and/or QA leadership roles, with at least 3 years specifically in AI/ML or edge computing. Deep understanding of cybersecurity principles, AI/ML knowledge, experience with edge computing platforms, proficiency in programming languages such as Python and C/C++, familiarity with security testing tools and AI frameworks, as well as experience with cloud platforms and testing frameworks are essential for success in this role. Joining Aptiv means you will have the opportunity to grow in an inclusive work environment, make a meaningful impact on safety, and receive the necessary support for personal and professional development. Benefits at Aptiv include hybrid and flexible working hours, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, EAP employee assistance, access to fitness clubs, and a creche facility for working parents. Apply today and be a part of shaping a safer and more sustainable future at Aptiv!,

As a Senior Python Engineer at our company, you will leverage your deep expertise in data engineering and API development to drive technical excellence and autonomy. Your primary responsibility will be leading the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. You will design, develop, and maintain high-performance APIs and microservices using Python frameworks such as FastAPI and Flask. Additionally, you will build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks, ensuring the utilization of AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to enhance engineering velocity and code quality. In this role, you will architect resilient and modular backend systems integrated with databases like PostgreSQL, MongoDB, and Elasticsearch. Managing workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io will be essential, as you collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure) with high test coverage, observability, and reliability. To be successful in this position, you must have at least 5 years of hands-on experience in Python backend/API development, a strong background in data engineering, and proficiency in AI-enhanced development environments like Copilot, Cursor, or equivalent tools. Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions, along with familiarity with Docker, CI/CD, and cloud-native deployment practices is crucial. You should also demonstrate the ability to take ownership of features from idea to production. Nice-to-have qualifications include experience with distributed workflow engines like Temporal.io, background in AI/ML systems (PyTorch or TensorFlow), familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS, Pinecone), and exposure to weak supervision, semantic search, or agentic AI workflows. Join us to build infrastructure for cutting-edge AI products and work in a collaborative, high-caliber engineering environment.,

As an AI Software Engineer Leader at Hyperforce Developer Experience, you will be part of a team dedicated to enhancing developer productivity and experience through generative AI. Our goal is to revolutionize software development by providing cutting-edge AI-powered tools and solutions that exceed customer expectations and establish a strong reputation for excellence. Your role will involve working on a cutting-edge AI platform to enhance developer productivity, offering features like advanced code generation, intelligent code completion, automated testing, and throughout SDLC. You will lead a team of AI engineers in developing and implementing AI solutions across the software development life cycle. Your responsibilities will include continuously innovating and exploring advanced AI techniques to improve SDLC processes, reducing development time and effort through automated code generation and intelligent suggestions, enhancing code accuracy, readability, and maintainability with AI-powered tools, empowering developers to explore new ideas and experiment with cutting-edge technologies, automating repetitive tasks and streamlining the development process, optimizing AI models through data analysis, designing user-friendly interfaces for AI-powered tools, and building a scalable infrastructure to support a growing user base. In this role, you will drive the vision of transforming engineers" productivity by infusing AI technologies/tools into SDLC in collaboration with teams across geographies. You will build and lead a team of engineers to deliver various AI engineering initiatives, have solid experience in building large-scale AI systems in public cloud environments, identify and resolve reliability and data quality issues, mentor and coach engineers for continuous development, recruit top talent, collaborate with cross-functional teams for execution and delivery, manage multiple engineering teams, design and implement algorithms for code suggestions, evaluate AI model performance, maintain data retrieval systems, ensure code generation meets standards and user preferences, develop AI-powered features in IDEs, and more. Core qualifications for this role include a degree in computer science or a related field, 14+ years of relevant software development experience with 5+ years of team management experience, at least 3+ years of AI/ML engineering experience, proficiency in programming languages such as Python, Java, Typescript, or Golang, knowledge of NLP techniques and code generation techniques, expertise in cloud native services, strong analytical and communication skills, and the ability to work in a fast-paced environment with a focus on delivering high-quality results under tight deadlines.,

The primary objective of this role is to establish and lead a centralized operations function for PepsiCo's Gen-AI platforms, including PepGenX and Agent Factory. You will be responsible for ensuring platform reliability, incident management, vendor performance, and operational excellence across all sectors. It is crucial to sustain enterprise-scale AI adoption by overseeing 24x7 monitoring, ServiceNow-based workflow automation, and cloud FinOps. You will work closely with engineering, product, and vendor teams to maintain high availability, security, and performance at scale. Your responsibilities will include managing 24x7 uptime and incident management through a dedicated Gen-AI Command Centre. You will be accountable for scalable platform monitoring and alerting across PepGenX, Agent Factory, and LLM stacks. Integration with ServiceNow for workflows, change control, and audit trails will be a key aspect of this role. You will also be responsible for vendor accountability and contractor performance governance, ensuring cost efficiency and platform FinOps using Azure-native tools, and upholding enterprise security, compliance, and operational SLAs as Gen-AI becomes business-critical. To qualify for this role, you should have a minimum of 12 years of experience in IT operations, with a specific focus on AI/ML systems and cloud infrastructure. You must demonstrate proven expertise in setting up and managing command centers or NOCs for large-scale platforms. Deep knowledge of Azure cloud services, including monitoring, security, and FinOps tools, is essential. Extensive experience with ServiceNow, particularly in incident management, change control, and automation workflows, is required. Moreover, a strong understanding of ML and data science operations, including model deployment and monitoring, is necessary. You should have demonstrated the ability to manage contractors and third-party vendors effectively. Excellent problem-solving skills and the ability to make decisions under pressure are crucial for success in this role. Strong leadership and communication skills are also essential, as you will be managing cross-functional teams.,

As a Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for edge AI applications. Your primary responsibility will be to ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. By leading cross-functional teams, you will establish robust security frameworks and quality processes specifically tailored for AI applications deployed at the edge. In terms of security leadership, you will be responsible for designing and implementing comprehensive security frameworks for edge AI applications. This includes ensuring secure model deployment, data protection, and device authentication. You will conduct threat assessments specific to edge AI environments, identify vulnerabilities in AI models, edge devices, and communication channels, and establish security testing protocols such as penetration testing, vulnerability assessments, and adversarial AI testing. Compliance management will also be a key aspect of your role, as you ensure adherence to industry standards and emerging AI governance frameworks, including ISO 27001, NIST, GDPR, and CCPA. Additionally, you will implement privacy-preserving techniques for edge AI, such as federated learning, differential privacy, and secure multi-party computation. In terms of quality assurance leadership, you will develop and execute comprehensive QA strategies for edge AI products, including model validation, performance testing, and reliability assessment. You will create detailed test plans covering functional, performance, security, and AI-specific testing scenarios, and lead and mentor QA engineers, security analysts, and test automation specialists. Establishing KPIs and metrics for product quality, security posture, and AI application/model performance will be essential, along with continuously optimizing testing processes and methodologies for edge AI applications. Your background should include a Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, along with 10+ years of experience in product security and/or QA leadership roles, with at least 3 years specifically in AI/ML or edge computing. Deep understanding of cybersecurity principles, threat modeling, security testing methodologies, machine learning algorithms, model training, inference, AI system architectures, edge computing platforms, IoT devices, distributed AI systems, programming proficiency in Python, C/C++, and scripting languages, experience with security testing tools, AI frameworks, cloud platforms, and testing frameworks will be crucial for success in this role. Join Aptiv to be part of an inclusive work environment that fosters growth and development for all individuals, regardless of gender, ethnicity, or beliefs. Make an impact by contributing to a safer world with zero fatalities, zero injuries, and zero accidents. Benefit from resources and support for your family, physical, and mental health, including competitive health insurance. Enjoy hybrid and flexible working hours, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, EAP Employee Assistance, access to fitness clubs, and creche facilities for working parents. Apply today to be a part of shaping tomorrow at Aptiv!,

Qualcomm India Private Limited is a leading technology innovator that is dedicated to pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Hardware Engineer at Qualcomm, you will play a crucial role in planning, designing, optimizing, verifying, and testing electronic systems. This includes a wide range of tasks such as bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems to launch cutting-edge, world-class products. Collaboration with cross-functional teams is essential to develop solutions that meet performance requirements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field. In this position, you will have the opportunity to closely interact with the product definition and architecture team, develop implementation strategies to meet quality and performance goals for the Sub-system, and define various aspects of block-level design. Your responsibilities will also include leading a team of engineers on RTL coding for Sub-system/SOC integration, function/performance simulation debug, driving Lint/CDC/FV/UPF checks to ensure design quality, and developing Assertions as part of white-box testing-coverage. You will work with stakeholders to discuss collateral quality, identify solutions/workarounds, and deliver key design collaterals like timing constraints and UPF. Desired skills for this role include a good understanding of low power microarchitecture techniques and AI/ML systems, thorough knowledge of Computer system architecture, experience in high-performance design techniques, and trade-offs in Computer microarchitecture. You should also be knowledgeable in NoC Design principles, define Performance and Bus transactions based on use cases, work with Power and Synthesis teams, have expertise in Verilog/System Verilog, and experience with simulators and waveform debugging tools. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require an accommodation during the application/hiring process, please contact disability-accommodations@qualcomm.com or Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including those concerning the protection of confidential information. Please note that Qualcomm's Careers Site is intended for individuals seeking job opportunities directly with Qualcomm. Staffing and recruiting agencies are not authorized to use this site. Unsolicited resumes or applications from agencies will not be accepted. For further information about this role, please contact Qualcomm Careers directly.,

Qualcomm India Private Limited is a leading technology innovator that strives to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Hardware Engineer, your responsibilities will include planning, designing, optimizing, verifying, and testing electronic systems, circuits, mechanical systems, and various other cutting-edge technologies to launch world-class products. You will collaborate with cross-functional teams to develop solutions and meet performance requirements. To qualify for this role, you should have a Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field. In this position, you will closely interact with the product definition and architecture team, develop implementation strategies to meet quality goals, define block-level design aspects, lead a team of engineers on RTL coding, drive design quality checks, and work towards delivering key design collaterals. Desired Skillset for this role includes a good understanding of low power microarchitecture techniques, AI/ML systems, computer system architecture, high-performance design techniques, NoC Design principles, Verilog/System Verilog, SOC DFT, and logic design principles. You will also work with stakeholders to discuss collateral quality, identify solutions, and collaborate with Power and Synthesis teams on use cases. Qualcomm is an equal opportunity employer committed to providing an accessible process for individuals with disabilities. If you require accommodation during the application/hiring process, you may contact Qualcomm. It is expected that employees abide by all applicable policies and procedures, including security and confidentiality requirements. Staffing and Recruiting Agencies are advised that Qualcomm's Careers Site is for individuals seeking a job at Qualcomm, and unsolicited submissions will not be considered. For more information about this role, please contact Qualcomm Careers.,