Job Title: Applied AI and ML Engineer Company: Google Job Category: Machine Learning Roles & Responsibilities: About The Job Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. In this role, you will lead the technical strategy, design, and deployment of end-to-end AI/ML and Agentic solutions to transform legacy Finance processes into AI-native workflows. You will not just build models; you will design autonomous, self-correcting agentic systems that partner with Finance Googlers to drive unprecedented efficiency across Google's Finance organization. You will operate at the intersection of advanced ML and Agentic tools to design, develop and deploy large-scale solutions for various Finance processes like Accounting, Finance Operations, financial planning and analysis, etc. Responsibilities * Contribute to the technical design of multi-agent workflows, utilizing a toolkit (ML and Gemini LLMs) to solve complex, multi-layered financial problems. * Build, prototype, and scale end-to-end AI agents. Collaborate with senior developers to build robust system architectures that prioritize reliability, usability, and auditability—ensuring clear human-in-the-loop interfaces for finance professionals. * Take prototypes from isolated testing environments to scaled production systems. Collaborate with senior developers to design and deploy high-availability model endpoints with robust health checks, error handling, retries, and fallback mechanisms. * Implement rigorous evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Lead Backend Engineer Company: SymphonyAI Job Category: Machine Learning Roles & Responsibilities: We are looking for a Technical Architect who combines deep Python expertise, strong computer science fundamentals, and hands-on engineering rigor to design and build scalable, high-performance systems. This is a high-ownership, high-impact role where the individual is expected to operate using first-principles thinking, be deeply hands-on with code, solve ambiguous, complex technical problems, and drive end-to-end architecture and execution. The architect will work closely with Engineering Managers, Directors, Product Managers, and cross-functional teams to translate high-level product goals into robust, scalable, and production-ready systems. * Ability to take ambiguous problem statements and convert them into clear, executable technical plans * Consistent delivery of high-quality, production-grade systems with strong reliability and performance * Demonstrated impact in eliminating bottlenecks, improving system efficiency, and scaling platforms * Strong influence across teams through clear technical communication and leadership Job Description: Responsibilities: Hands-on Development (Python-first): * Actively contribute to core codebases with high-quality, maintainable Python code * Lead by example in coding standards, debugging, and performance optimization * Build reusable frameworks, libraries, and internal platforms * Identify and resolve system bottlenecks (CPU, memory, I/O, network, DB) * Drive performance tuning, load testing, and scalability improvements * Establish benchmarks and SLO-driven engineering practices * Lead root cause analysis (RCA) and implement long-term fixes * Design guardrails to prevent 99% of known failure modes * Improve observability (metrics, logs, traces) across systems Technical Leadership & Mentorship: * Lead a team of senior, mid-level, and junior engineers * Mentor engineers in system design, coding best practices * Raise the overall engineering bar across teams * Work effectively with frontend, backend, data, and platform teams * Ensure features are implemented end-to-end in a cohesive and scalable manner * Communicate technical concepts clearly to both engineers and leadership SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Work Location: Karnataka, India Availability: Full time
Job Title: AI Engineer Company: Autocash.ai Job Category: Machine Learning Roles & Responsibilities: Job Description: AI Engineer Department: AutoCash.ai is building an AI-powered cash management platform for CFOs and finance teams. We're redefining how mid-market companies run their finance functions — connecting directly to banks, ERPs, and payment systems to deliver real-time insights, automation, and decision intelligence. The Role * Design, develop, and deploy ML/AI models for cash flow forecasting, transaction categorization, and financial anomaly detection * Build and maintain data pipelines that ingest and normalize data from banks, ERPs, and payment systems * Fine-tune and optimize models (including LLMs) for performance, latency, and cost in production * Build RAG pipelines and agentic workflows that help finance teams query and act on financial data conversationally * Integrate AI/ML models into the core platform via APIs and services * Monitor deployed models for drift, performance degradation, and reliability, given the high accuracy bar of financial data * Apply statistical methods to validate model performance, design experiments (A/B tests), and interpret forecasting accuracy * Implement MLOps best practices: CI/CD for models, versioning, testing, and monitoring * Partner with product and treasury domain experts to align model outputs with real CFO/finance-team workflows * Help shape and scale AutoCash's India engineering hub from the ground up Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist Company: Wissen Infotech Job Category: Machine Learning Roles & Responsibilities: Job Description – Senior Data Scientist / ML Engineer (GenAI & RAG) Key Responsibilities • Design, develop, and deploy AI/ML and Generative AI solutions. • Develop scalable Python applications and automated data processing pipelines. • Implement and maintain cloud-based AI solutions. • Ability to work independently and take ownership of deliverables. • Familiarity with production ML deployment and monitoring. Ideal Candidate: A hands-on AI/ML engineer with strong Python expertise, practical GenAI/RAG implementation experience, and the ability to independently develop and deliver scalable, production-ready solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: MGR SYSTEMS ARCHITECT - INDIA Company: Lumen Job Category: Machine Learning Roles & Responsibilities: The Role ------------ Team Management: Mgr. Systems Architects manage a team of 6 to 10 Sr. system architects, lead architects, and associate managers, assigning them to the right Agile Release Trains (ARTs). Production Performance and Stability: They maintain full awareness of application performance in production environments, participate in SWAT calls to address stability issues, and help document root causes. The Main Responsibilities ----------------------------- * Manage a team of 6 to 10 Sr. system architects / lead architects / associate mgr system architects and assign to right ARTs. * Guide and enable the team to deliver designs efficiently * Enable system architects in the team to own and contribute towards achieving business goals and technical debt. * Understand overall system design and roadmap * Drive architectural initiatives and identify opportunities for optimization * Oversee, mentor and guide reportees. * Identify areas where POCs are required and assign to reportees as appropriate and track the same to completion. * Mgr System Architects manage reportees working across ARTs. * Ensure technology alignments across ARTs; align teams of multiple ARTs to a shared technical direction by working with respective ART System architects * Confirm Capability meets Definition of Ready (DoR) before approving for multiple ARTs * Attend and participate in Mass Markets Architecture Review Boards * Review Capability estimates by working closely with other system architects across ARTs. * Ensure ART system designs adhere to Lumen Enterprise IT roadmap, guidelines, principles * Review critical enabler Features and NFRs created by ART architects * Engage with other system architects and establish an integrated technical design * Engage with outside vendors to ensure design success * Engage system architects to review designs and ensure complete end to end success (ie. Omni channel, flow through, etc.) * Actively participate in the Continuous Exploration (keeping up with the industry) process as part of the Continuous Delivery Pipeline, especially with Enabler Epics * Collaborate with their application/service development team, Load and Performance team, chaos engineering team, SRE SPOC etc. * Have full awareness of application/service performance in production environment, upstream / downstream applications, database performance characteristics etc. * Participate in Proactive / Reactive SWAT calls to address production stability issues, help teams on identifying and documenting accurate root cause of issues. * Review ART technical enabler Feature content * Review ART environment performance, stability, and scalability targets * Review critical nonfunctional requirements. Provide inputs based on production stability, performance issues, bottle necks, User experience issues, security etc. * Review ART system designs focused on system components which align to the larger end state designs * Review ART technical system design documents * Review deisgn of subsystems and their interfaces; allocate responsibilities to subsystems; understand design deployment; communicate requirements for interactions within design context. * Review ART data flow, sources, storage, format * Review technical and architectural vision for the ARTs and provide inputs to system architects * Minimum 10 years of software development experience, with deep expertise in C#, .NET / .NET Core, ASP.NET Core, Entity Framework / EF Core, and LINQ. * At least 3 years in a solution/application architect role, an engineering manager role, or both. * Proven experience designing and delivering enterprise applications on Microsoft Azure. * Strong expertise in microservices, API design, distributed systems, and design patterns (including SOLID, domain-driven design, CQRS, and event-driven architecture). * Deep experience with Microsoft SQL Server: data modeling, complex T-SQL, stored procedures, indexing, query and performance tuning, execution plans, and transaction and locking behavior. * Experience with GitHub, GitHub Actions, and modern CI/CD and DevOps practices. * Strong knowledge of application security, including OAuth 2.0, OpenID Connect, Azure AD / Entra ID, secrets management, and secure handling of sensitive financial data. * Experience with observability and production support tools such as Application Insights and Azure Monitor. * Experience leading Agile/Scrum teams using Jira (Confluence is a plus). * Excellent communication and stakeholder management skills, with experience working across time zones with US-based leadership and business teams. * A leader who balances hands-on technical depth with strong people management. * A strategic thinker who can set a clear technical direction and turn it into practical delivery plans. * Someone who builds trust across teams and time zones through clear, proactive communication. * A mentor who enjoys developing engineers and raising the bar for the whole team. * Someone excited to help the team adopt cloud and AI in a responsible, business-focused way. Life at Lumen is human and connected, even in a fast moving, AI‐focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. Work Location: Karnataka, India Availability: Full time
Job Title: Assistant Professor-Qunatum Computing Company: Atria Institute of Technology Job Category: Machine Learning Roles & Responsibilities: Job Title: Assistant Professor – Quantum Computing Department: Computer Science and Engineering Job Location: ASKB Campus, ATRIA INSTITUTE OF TECHNOLOGY, 1st Main Rd, Ags Colony, Anandnagar, Hebbal, Bengaluru, Karnataka 560032. Employment Type: Full-Time Key Responsibilities * Teach undergraduate and postgraduate courses in Quantum Computing and related subjects. * Develop and deliver lectures on quantum mechanics fundamentals, quantum algorithms, quantum information theory, and quantum circuits. * Introduce students to quantum programming frameworks such as Qiskit, Cirq, and PennyLane. * Guide students in academic projects, research activities, internships, and dissertations related to quantum technologies. * Conduct research in quantum computing, quantum algorithms, quantum machine learning, quantum cryptography, or related fields. * Publish research papers in reputed journals and conferences. * Develop laboratory exercises and practical sessions using quantum simulators and cloud-based quantum computing platforms. * Participate in curriculum development, academic planning, and outcome-based education activities. * Collaborate with industry partners, research institutions, and academic organizations. * Assist in accreditation documentation, departmental activities, and institutional academic responsibilities. * Mentor students and encourage participation in technical events, hackathons, workshops, and research competitions. * Contribute to interdisciplinary research involving artificial intelligence, cybersecurity, mathematics, and advanced computing. Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Python /ML Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: ------------------------- * A day in the life of an Infoscion * As part of the Infosys consulting team your primary role would be to get to the heart of customer issues diagnose problem areas design innovative solutions and facilitate deployment resulting in client delight * You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise * You will plan the activities of configuration configure the product as per the design conduct conference room pilots and will assist in resolving any queries related to requirements and solution design * You will conduct solution product demonstrations POC Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization s financial guidelines * Actively lead small projects and contribute to unit level and organizational initiatives with an objective of providing high quality value adding solutions to customers * If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Work Location: Karnataka, India Availability: Full time
Job Title: Lead Machine Learning Engineer Company: PineQ Lab Technology Job Category: Machine Learning Roles & Responsibilities: Job Description: Machine Learning Engineer Role Type: Full-Time Job Summary We are looking for an experienced AI/ML Engineer with strong expertise in Machine Learning, Generative AI, Deep Learning, and NLP. The candidate will develop, implement, and optimize AI solutions using modern ML frameworks and cloud platforms to solve business problems. Key Responsibilities * Develop and implement Generative AI and Machine Learning models. * Work with deep learning techniques, neural networks, and Large Language Models (LLMs). * Design and optimize prompts to improve GenAI model performance. * Develop NLP solutions, chatbots, and conversational AI applications. * Build and maintain production-ready AI pipelines on cloud or on-premises platforms. * Collaborate with cross-functional teams to identify business requirements and deliver AI solutions. * Ensure data quality, model accuracy, scalability, and performance. * Research emerging AI technologies and follow industry best practices. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Lead Data Scientist Company: slice Job Category: Machine Learning Roles & Responsibilities: About the role We are looking for a Lead Data Scientist with strong foundations in Machine Learning, Deep Learning, and Generative AI to lead the design, development, and deployment of scalable AI-driven solutions. This is hands-on technical expertise with system design capabilities, architectural thinking, and the ability to translate business problems into practical ML and GenAI applications. What You will do * Design, develop, train, evaluate, and deploy Machine Learning and Deep Learning models for real-world business applications. * Mentor team members and promote knowledge sharing, engineering quality, and continuous learning. * Build LLM-powered applications, including intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, and Agentic AI workflows. * Develop, fine-tune, evaluate, and optimize ML models and LLMs, leveraging GPU infrastructure where required. * Design scalable ML architectures, reusable pipelines, and end-to-end workflows covering data processing, model training, deployment, and monitoring. * Apply strong software engineering and low-level design principles to build modular, reusable, maintainable, and high-performance AI systems. * Integrate LLMs into applications using LangChain or similar frameworks, along with embeddings, vector databases, and retrieval techniques. * Architect and optimize production-grade AI systems, considering scalability, reliability, latency, performance, and cost. * Collaborate with Data Scientists, Engineering teams, Product Managers, and business stakeholders to translate business requirements into effective AI solutions. * Evaluate emerging AI technologies, identify opportunities for AI-driven automation, and contribute to the technical roadmap for GenAI and Agentic AI initiatives. * Drive technical excellence through architecture reviews, best practices, knowledge sharing, and mentoring team members. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer - Time Series Analysis Company: Swasti Job Category: Machine Learning Roles & Responsibilities: About The Role We're looking for a hands-on ML engineer to build and ship models across our sensor-driven product ecosystem, working closely with the ML Lead on digital signal processing, computer vision, and time series problems. You're comfortable taking a model from an early prototype through to a reliable, production-deployed system. * Build and iterate on ML models for time series, audio signal, and sensor fusion problems, under the guidance of the ML Lead * Build and maintain data preprocessing and feature engineering pipelines that prepare sensor data for training and inference at scale * Package and deploy models into production, including on edge or embedded compute, with attention to latency and resource constraints * Run structured experiments to evaluate model accuracy, generalization, and failure modes, and document findings clearly * Support monitoring and retraining pipelines that track model performance and drift after deployment * Work closely with firmware, hardware, and app teams to turn model outputs into clear, actionable product insight * Ship models that run on real hardware, on real dogs - not just in a notebook * Learn directly from the ML Lead while owning real pieces of the roadmap * Take ownership early, with a direct line to the people building the rest of the product * Join a small, fast-moving team building a category-defining, sensor-driven product Work Location: Bengaluru, Karnataka, India Availability: Full time
