Job Title: AI/ML Engineer (Databricks) Company: Dysrupit Job Category: Machine Learning Roles & Responsibilities: DysrupIT is a leading global\-based cloud services company. We support clients across the globe in This role is the right fit if you love hands\-on AI/ML engineering, enjoy direct client collaboration in JOB RESPONSIBILITIES use cases, using MLflow for experiment tracking and model management. * Support the delivery of Generative AI and agentic systems on Databricks, including data agentic assistants, forecasting, personalisation), reducing time\-to\-development for new pandas, scikit\-learn, and PyTorch. * Background supporting large\-scale consumer or enterprise ML systems (recommenders, support AI use case development. Work Location: Bengaluru, India Availability: Full time
Job Title: Analytics Product Owner - Assistant Director Company: EY Job Category: Machine Learning Roles & Responsibilities: You will be responsible for leading one of EY's strategic analytics products within the Global Analytics product portfolio. Working closely with stakeholders across the business, you will be responsible for defining product strategy, managing development priorities, driving adoption, and delivering meaningful business outcomes through analytics\-driven decision support. You will work alongside Data Analysts, Data Scientists, Data Engineers and Translators to ensure products continue to evolve in line with business priorities whilst maintaining high standards of quality, usability and trust. Your key responsibilities You will support and collaborate closely with the Global Analytics leadership team and other product leads to define, deliver and evolve analytics products that support strategic decision\-making across the firm. This will involve key responsibilities such as: * Developing and maintaining product strategy, vision and roadmaps * Translating business priorities into actionable product development plans * Driving adoption and embedding products into core business processes * Identifying opportunities to increase product value and business impact * Ensuring products remain aligned to changing stakeholder requirements * Supporting the integration of analytics products into AI Agents Across your product responsibilities you will be required to: * Use agile best practices to effectively manage priorities, backlogs and delivery plans * Lead product stand\-ups, backlog grooming and roadmap planning activities * Ensure robust validation, testing and release management processes are followed * Be a thought leader, proactively identifying opportunities to improve products and UX * Communicate developments stakeholders ranging from technical teams to senior leaders * Build strong relationships to gather requirements, influence priorities and increase adoption * Ensure product development remains focused on measurable business outcomes As a senior leader within the analytics product space, you will combine strong business acumen, technical understanding and stakeholder engagement skills to ensure products are trusted, adopted and delivering value across the organisation. We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well\-being, insurance, savings and a wide range of discounts, offers and promotions. * Support, coaching and feedback from some of the most engaging colleagues around * Opportunities to develop new skills and progress your career * The freedom and flexibility to handle your role in a way that’s right for you Work Location: Kerala, India Availability: Full time
Job Title: GenAI Developer Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: Job Description About Persistent We are looking for a GenAI Developer with foundational experience in Generative AI technologies and modern AI\-powered application development. The ideal candidate should possess knowledge of GPT\-family models, AI coding assistants, LangChain, and Digital Assistant platforms. The role involves building AI\-enabled solutions, integrating Large Language Models (LLMs), and supporting enterprise AI initiatives. * Role: GenAI Developer * Location: Pune * Experience: 0-3 years * Job Type: Full\-Time Employment * Develop and implement Generative AI\-based applications and solutions * Integrate Large Language Models (LLMs) into enterprise applications and workflows * Build conversational AI and Digital Assistant solutions * Design and implement prompt engineering strategies for business use cases * Develop AI orchestration workflows using LangChain frameworks * Integrate AI services through APIs and cloud\-based AI platforms * Support chatbot development and conversational experiences * Collaborate with product, engineering, and business teams to identify AI use cases * Evaluate emerging GenAI tools, frameworks, and technologies * Assist in developing reusable AI components and accelerators * Participate in AI solution testing, validation, and optimization activities * Create technical documentation and implementation guidelines * Contribute to AI\-driven automation and productivity improvement initiatives Work Location: Maharashtra, India Availability: Full time
Job Title: Analyst-Data Science Company: American Express Job Category: Machine Learning Roles & Responsibilities: This Analyst – Data Science role, based out of India, will join the Prospect Cross\-functional team within AIM and execute analytical workstreams supporting prospect targeting and acquisition initiatives. Leveraging a broad analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI—the role supports the end\-to\-end development of scalable analytical solutions that enhance targeting precision, engagement effectiveness, and marketing ROI. This role provides an opportunity to build next\-generation AI\-powered capabilities across prospect enrichment, intelligent targeting, lead prioritization, and decision support by combining advanced analytics with modern Generative AI techniques. Working closely with data scientists, product managers, engineers, and business stakeholders, the Analyst will develop scalable analytical solutions that accelerate data\-driven decision making while maintaining the highest standards of Responsible AI and model governance. Shift Time: 1:30 pm \- 9:30 pm (should be flexible to US timing's ) * Degree in a quantitative field preferred, such as Engineering, Mathematics, Computer Science, Finance, Economics, Statistics, or a related discipline. * 1\+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles. * Strong programming skills in Python and SQL, with working knowledge of Hive and/or PySpark in large\-scale data environments, hands\-on experience developing machine learning models end\-to\-end, and familiarity with software engineering best practices including Git\-based version control. * Demonstrated hands\-on experience building or experimenting with LLM\-based applications, including Retrieval\-Augmented Generation (RAG), prompt engineering, semantic search, embeddings, structured outputs, or AI\-powered assistants. * Knowledge of supervised machine learning techniques (e.g., gradient boosting, tree\-based models, regression, clustering) and statistical techniques such as hypothesis testing, multivariate testing, ANOVA, and model evaluation methodologies. * Exposure to AI agent frameworks, tool/function calling, vector databases, LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy), context management, or workflow automation is a plus. * Familiarity with modern ML/AI development frameworks, open\-source libraries, prompt lifecycle management, and evaluation frameworks. * Strong analytical and problem\-solving skills, with the ability to execute well\-defined analytical tasks accurately and efficiently. * Demonstrated ability to manage assigned work independently while collaborating effectively within a cross\-functional team. * High attention to detail, intellectual curiosity, and an experimentation mindset with the ability to evaluate solutions objectively and iterate based on evidence. * Strong written and verbal communication skills, with the ability to clearly explain analytical findings and support stakeholder discussions. * Familiarity with Responsible AI principles, including explainability, bias and fairness assessment, hallucination mitigation, prompt safety, model monitoring, evaluation, audit readiness, and GenAI risk management practices. At American Express, our culture is built on a 175\-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world\-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well\-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. * Competitive base salaries * Bonus incentives * Support for financial\-well\-being and retirement * Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * Generous paid parental leave policies (depending on your location) * Free access to global on\-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities Work Location: Gurgaon, India Availability: Full time
Job Title: Machine Learning Engineer - L3 Company: RZR Job Category: Machine Learning Roles & Responsibilities: Role Overview We are seeking a motivated and detail\-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand\-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions. Key Responsibilities * Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud. * Collaborate with senior data scientists and cross\-functional teams (product, engineering, and analytics) to integrate models into production workflows. * Analyze the impact of integrating new data sources and features into our models. * Build and maintain data pipelines to process and prepare large datasets for model training and evaluation. * Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities. * Document experiments, assumptions, and outcomes; maintain reproducibility RZR is an equal opportunity employer RZR is a place where everyone can grow. However you identify, and whatever background you bring with you, we invite you to apply if this role excites you. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Associate Lead - AI/ML Engineer ( Python, AL/ML) - GB04 Company: Bajaj Finserv Job Category: Machine Learning Roles & Responsibilities: Roles \& Responsibilities • Contribute to the development and optimization of enterprise\-wide search systems and models. • Design and implement algorithms to improve indexing, query relevance, and search accuracy. • Support taxonomy, ontology, and metadata model creation for better search outcomes. • Work with engineers, product managers, and designers to deliver integrated search solutions. • Develop production\-grade ML systems for ranking, personalization, and recommendations. • Follow best practices in software engineering including CI/CD, testing, and monitoring. • Keep abreast of emerging developments in AI/ML to apply them in practical solutions. Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: AI ML Engineer Company: Uplers Job Category: Machine Learning Roles & Responsibilities: Shift : (GMT\+05:30\) Asia/Kolkata (IST) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: We are a app development company with a focus on communication and language learning.) Must have skills required: Experienced with Flutter development and Dart programming. Graph databases and graph\-based retrieval techniques. Full\-stack capabilities with strong problem\-solving skills. Experience with distributed systems. Passion for creating technology with a positiv, and agent design decisions Contribute to technical decision\-making for data processing, and AI\-driven data processing. Responsibilities Design and build software systems integrating AI/ML techniques to automate tasks and enhance user experience Collaborate on system architecture, and containerization. Excellent communication skills and ability to lead technical discussions., and cost efficiency Support deployment of AI/ML applications in cloud environments Deliver production\-grade systems aligned with requirements Document system designs, and data pipelines. Experience with LLMs, and improve external user interactions. This role involves developing solutions such as chatbots, and RAG systems. Fine\-tuning language or embedding models. AI system testing, and synthetic data usage. Experience with system architecture and technical decision\-making. Experience with production software, and system integration Evaluate and apply appropriate techniques, and technical decisions Stay current with AI/ML advancements and apply them within project constraints Requirements: 2 years of experience in data science, APIS, assist the internal team, embeddings, Evaluation pipelines, including accuracy, including LLM and non\-LLM approaches Develop testing and evaluation pipelines for AI/ML systems Create unit and integration tests for AI\-enabled workflows and data pipelines Improve system performance, intelligent memory agents, Knowledge retrieval systems, latency, or applied AI development. Python proficiency for backend services, Retrieval strategies, We are looking for an AI/ML Engineer who can use AI to empower people with disabilities. The AI/ML Software Engineer will design and build software tools that incorporate AI/ML techniques to automate open\-ended tasks, Workflows, Machine Learning, version control We are a app development company with a focus on communication and language learning. is Looking for: AI / ML Engineer Chennai, Work From Home 5\-8 Years Apply now Job Description Function: Software Engineering → Backend Development, Other Software Development, Data Science \& Analytics → Data Science / Machine Learning * LLM * ML * RAG * Applied AI * Artificial Intelligence * Embeddings * \+4 more * Large Language Model * Machine Learning * Python * Retrieval Augmented Generation We are looking for an AI/ML Engineer who can use AI to empower people with disabilities. The AI/ML Software Engineer will design and build software tools that incorporate AI/ML techniques to automate open\-ended tasks, assist the internal team, and improve external user interactions. This role involves developing solutions such as chatbots, intelligent memory agents, knowledge retrieval systems, and AI\-driven data processing. Responsibilities * Design and build software systems integrating AI/ML techniques to automate tasks and enhance user experience * Collaborate on system architecture, workflows, and agent design decisions * Contribute to technical decision\-making for data processing, retrieval strategies, and system integration * Evaluate and apply appropriate techniques, including LLM and non\-LLM approaches * Develop testing and evaluation pipelines for AI/ML systems * Create unit and integration tests for AI\-enabled workflows and data pipelines * Improve system performance, including accuracy, latency, and cost efficiency * Support deployment of AI/ML applications in cloud environments * Deliver production\-grade systems aligned with requirements * Document system designs, workflows, and technical decisions * Stay current with AI/ML advancements and apply them within project constraints Our flagship product, an AAC solution, is one of India''s pioneering Augmentative and Alternative Communication solutions. But we quickly realized that technology alone isn''t enough. For communication to truly change lives, families need support, professionals need training, schools need implementation guidance and societies need to embrace inclusive communication. So alongside the product, we built an ecosystem, working closely with speech therapists, educators, governments and parents to make AAC practical, accessible and sustainable. About the team We are a team of passionate individuals working towards a more accessible and inclusive world where everyone has the opportunity to communicate and be heard. Our team brings together product management, design, engineering, QA, clinical content, customer support and marketing, with empathy at the centre of how we work. We create space for fresh ideas, different perspectives and thoughtful experimentation. Team members are encouraged to question assumptions, explore new approaches and learn directly from the people who use our products. We believe meaningful innovation comes from combining curiosity, open collaboration and a deep understanding of our users. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. Work Location: India Availability: Full time
Job Title: INDStaff Software Engineer - AI Company: The Hartford Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled T7 AI Engineer to join our engineering team in Hyderabad, India. This role combines hands\-on AI/ML engineering with deep software development expertise to build, deploy, and operate production\-grade AI systems at enterprise scale. You will design and implement AI\-powered solutions — from LLM integrations and agentic workflows to ML pipelines and intelligent automation — while driving AI adoption and engineering excellence across teams. Key Responsibilities * Design, build, and deploy production AI systems including RAG pipelines, agentic workflows, multi\-model orchestration, and intelligent automation * Integrate large language model (LLM) APIs and AI/ML services into enterprise applications (GCP Vertex AI) * Implement and optimize prompt engineering strategies, fine\-tuning pipelines, embeddings, and vector search solutions * Build and maintain AI orchestration workflows using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or LlamaIndex * Develop custom AI agents, tools, and autonomous workflows that solve real business problems * Establish evaluation frameworks for AI systems — measuring accuracy, latency, cost, hallucination rates, and business outcomes Full Stack Development \& Integration * Build end\-to\-end AI\-powered applications spanning frontend, backend, APIs, and data layers * Develop robust backend services using Python (FastAPI/Django) or Node.js to support AI workloads * Implement and optimize RESTful APIs, GraphQL endpoints, and event\-driven integrations for AI services * Build modern frontend interfaces for AI\-powered features using React, Angular, or Vue.js with TypeScript * Write clean, well\-tested, production\-ready code with a focus on maintainability and operational excellence * Design and implement MLOps/LLMOps pipelines for reliable model deployment, versioning, and lifecycle management * Configure and manage cloud\-native AI infrastructure (AWS, GCP) including model serving, orchestration, and auto\-scaling * Implement observability for AI systems — monitoring model drift, token costs, latency, throughput, and quality metrics * Build and maintain CI/CD pipelines for AI model deployment, automated testing, and continuous evaluation * Design for resilience: failover strategies, fallback models, circuit breakers, and graceful degradation AI\-Augmented Development * Leverage AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to dramatically accelerate development workflows * Use AI tools for code generation, refactoring, test writing, documentation, and code review * Develop and maintain custom AI\-powered developer tools, automations, and internal platforms * Establish guardrails, security practices, and governance for responsible AI usage in engineering * Influence engineering culture by evangelizing AI\-first development practices across teams * Train and upskill team members on effective use of AI tools, LLM integration patterns, and ML best practices * Contribute to internal knowledge bases, tech talks, and communities of practice * Partner with product, design, and data science teams to identify and deliver AI\-driven opportunities * Participate in architecture reviews and design discussions, ensuring AI solutions are production\-ready from day one Work Location: Telangana, India Availability: Full time
Job Title: CloudOps Engineer (L3) Company: Larsen & Toubro Job Category: Machine Learning Roles & Responsibilities: Job Description ------------------- Frontline Infrastructure Support Engineer (L3\) serves as the Senior technical support for enterprise infrastructure, providing expert\-level administration, troubleshooting, architecture guidance, and technical leadership across complex IT environments. The role is responsible for resolving critical infrastructure issues, driving automation, implementing infrastructure improvements, supporting strategic initiatives, and ensuring the reliability, scalability, security, and performance of enterprise platforms. Roles \& Responsibilities * Design, implement, administer, and optimize enterprise infrastructure across Windows, Linux, virtualization, Kubernetes, storage, backup, cloud, and GPU platforms. * Define technical standards, best practices, and operational procedures to improve infrastructure reliability and scalability. Advanced Incident \& Problem Management * Lead the resolution of complex and business\-critical infrastructure incidents. * Perform detailed Root Cause Analysis (RCA), incident chronology and implement permanent corrective and preventive actions. * Provide technical leadership during Major Incident Management and disaster recovery scenarios. * Act as the highest escalation point for L1 and L2 support teams. * Design and administer enterprise Active Directory, Group Policy, DNS, DHCP, Certificate Services, Federation Services, and Windows Server environments. * Lead server lifecycle management, security hardening, patch strategy, and performance optimization. * Design, administer, and optimize VMware, Hyper\-V, and Kubernetes/OpenShift environments. * Manage cluster architecture, capacity planning, workload optimization, upgrades, and platform lifecycle management. * Design and administer enterprise storage and backup solutions. * Lead disaster recovery planning, backup architecture, replication, capacity planning, and business continuity initiatives. * Support Azure, AWS, or Google Cloud infrastructure, hybrid networking, and cloud platform administration. * Design, administer, and optimize GPU infrastructure supporting AI, Machine Learning, and High\-Performance Computing (HPC) workloads. * Manage GPU resource allocation, driver lifecycle, firmware updates, monitoring, and performance optimization. * Develop infrastructure automation using PowerShell, Bash, Python, Ansible, Terraform, or similar technologies. * Drive Infrastructure\-as\-Code (IaC), configuration management, and operational automation initiatives. Change, Release \& Capacity Management * Review and implement complex infrastructure changes. * Lead infrastructure upgrades, migrations, platform refresh, and technology transformation projects. * Perform capacity planning and infrastructure performance optimization. Technical Leadership * Mentor L1 and L2 engineers through technical guidance and knowledge sharing. * Develop technical standards, runbooks, SOPs, and operational documentation. * Collaborate with architects, engineering teams, OEMs, and vendors on strategic initiatives. * 6 to 10\+ years in Enterprise Infrastructure Engineering, Managed Services, Data Center Operations, Cloud Infrastructure, or Platform Engineering. * Proven experience supporting business\-critical production environments with 24×7 operations. * Hands\-on experience with enterprise monitoring tools (SolarWinds, SCOM, Zabbix, Nagios, PRTG, Prometheus, Grafana) and ITSM platforms such as ServiceNow, ManageEngine, BMC Remedy, or Jira Service Management. Expertise in virtualization (VMware, Hyper\-V, Kubernetes, OpenShift), enterprise storage, backup solutions, and hybrid cloud platforms (Azure, AWS, GCP). Strong exposure to GPU infrastructure for AI/ML and HPC workloads, Infrastructure\-as\-Code (Terraform, Ansible), container platforms, CI/CD pipelines, and enterprise security technologies. Work Location: Chennai, India Availability: Full time
Job Title: AI Engineer Company: Web3things Technology Job Category: Machine Learning Roles & Responsibilities: Objectives of this role * Manage and direct processes and R\&D (research and development) to meet the needs of our AI strategy * Understand company and client challenges and how integrating AI capabilities can help lead to solutions * Lead cross\-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit * Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Responsibilities * Advise C\-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI * Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership * Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation * Manage a team in conducting assessments of the AI and automation market and competitor landscape * Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation * Two or more years of experience in applying AI to practical and comprehensive technology solutions * Experience with ML, deep learning, TensorFlow, Python, NLP * Experience in program leadership, governance, and change enablement * Knowledge of basic algorithms, object\-oriented and functional design principles, and best\-practice patterns * Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Work Location: In person Work Location: Maharashtra, India Availability: Full time
