Job Title: Lead Associate | Others | Bengaluru | Engineering as a Service/ Operate Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION Open Role Department/Group Overview: JOB DESCRIPTION 3\.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Describe what the person will do in the role \- how he/she will impact the organization. As Product Software Engineer II, Observability \& Platform, you will build features for the observability and self\-service platforms used across Disney Entertainment \& ESPN engineering, developing production skills in Python, AWS, and modern observability practice alongside senior engineers. * Technical Operations is responsible for production readiness and service onboarding, alert response and first\-line eyes\-on\-glass monitoring, defining alerts and thresholds, escalation management, backend capacity management and load testing, and third\-layer support for technically complex customer issues. You must understand the demands of managing 24x7 applications at a large scale with well\-defined operational objectives. You bring solid Python fundamentals and foundational experience across AWS, systems programming, the software development lifecycle, incident response and management, and observability tooling such as Datadog, CloudWatch, and Grafana. Within Observability \& Platform you will take technical direction from the Lead and Sr Product Software Engineers, growing your expertise in observability, platform engineering, and cloud security through pairing, code review, and mentorship. You will report to the Director, Product Software Engineering. Responsibilities and Duties of the Role: Summarize job responsibilities, core deliverables and major duties. What is required for the position to exist? * Focus on major areas of work, typically 20% or more of role JOB DESCRIPTION * Develop features for telemetry pipelines, dashboards, and self\-service tooling under the guidance of senior engineers, writing production\-quality code with strong test coverage * Build and maintain backend APIs and integrations in Python that support platform services * Help maintain operational data pipelines and reliability reporting * Participate in the on\-call rotation for platform services with support from senior engineers, and grow expertise through pairing and code review * Python development skills with a focus on writing maintainable, tested code * Exposure to monitoring and observability tools such as Datadog, Prometheus, Grafana, or CloudWatch Work Location: Karnataka, India Availability: Full time
Job Title: Senior Software Engineer — Data Platform Company: Machinify India Job Category: Machine Learning Roles & Responsibilities: We're now opening a new hub in Bengaluru that isn't a satellite office or a support function: it's a genuine extension of one global Machinify, where local leaders run real teams and own real product and outcomes. The problems our teams solve are hard by design, which is exactly why they haven't been solved before, and why the work is worth doing. Joining now means building Machinify's India presence\- its people, culture, and way of working\- from the ground up, with real influence over what gets built and how. About the Role ------------------ This role sits within Data Platform Development, part of Machinify's Data Architecture, Tooling \& Frameworks organization. The Data Platform Development team builds the internal systems that power and extend the Machinify platform. We focus on scalable, reliable infrastructure for data processing, communication, and analytics across our products and customer\-facing systems. We work closely with the core Machinify platform (written in Scala) as its internal customers: we design and build orchestration and supporting services in Golang and Python that sit on top of the core engine. Our team builds internal products and analytics capabilities that improve performance, reliability, and extensibility, so the platform can scale with our customers and AI\-driven use cases. You'll design and build high\-performance backend systems that power these AI\-driven solutions, working with engineers, data experts, and innovators across the US and India. * Design and build scalable, high\-performance data software in Golang and Python. * Build and deploy Kubernetes\-based systems that manage containerized applications in cloud\-native environments. * Work with cross\-functional teams to understand customer and internal needs, so our systems keep up with future requirements. * Optimize the performance, reliability, and security of our backend infrastructure. * Work on data modeling and transformation that support machine learning workflows and AI\-powered applications. * Build agentic AI tooling and services that automate data engineering work (e.g., agentic ETL). * Own the design of services end to end, lead technical decisions, and mentor engineers. * 6\+ years of hands\-on backend software development. * Strong Golang and/or Python. * Hands\-on experience with agentic AI (building with LLMs or agents, not only using chat tools). Strong experience is expected for the Senior level. * Strong understanding of ETL processes, data pipelines, and working with large datasets. * Kubernetes orchestration, containerization (Docker, Helm), and cloud\-native development. * Experience building scalable systems that handle high volumes of data and transactions. * A cloud platform (AWS, Azure, or GCP) and its ecosystem tools. * CI/CD pipelines and automated testing. * Strong problem\-solving skills and a passion for clean, maintainable code. Work Location: Karnataka, India Availability: Full time
Job Title: AI Engineer (GDC)-65727 Company: Hitachi Digital Services Job Category: Machine Learning Roles & Responsibilities: Job Description Job Summary:\\* Hitachi, Ltd. is seeking an AI Engineer to join our Global Development Center (GDC). This role involves developing, deploying, and maintaining cutting\-edge artificial intelligence solutions to enhance Hitachi's product and service offerings across various sectors. Job Responsibilities:\\* * Design, develop, and implement AI/ML models and algorithms using various programming languages and frameworks (e.g., Python, TensorFlow, PyTorch). * Collect, clean, and preprocess large datasets for training and evaluating AI models. * Evaluate and optimize model performance, accuracy, and efficiency. * Deploy AI solutions into production environments, ensuring scalability and reliability. * Collaborate with cross\-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and integrate AI capabilities. * Conduct research and stay abreast of the latest advancements in AI and machine learning. * Document AI system architecture, design decisions, and implementation details. * Participate in code reviews and contribute to maintaining high code quality standards. * Troubleshoot and resolve issues related to AI model performance and deployment. About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co\-create meaningful solutions to complex challenges. We turn organizations into data\-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. We help take care of your today and tomorrow with industry\-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Engineer AI/ML Company: Empower India Job Category: Machine Learning Roles & Responsibilities: The AI/ML Engineer is responsible for designing, building, and optimizing AI and machine learning solutions within the Generative AI Platform. This role involves coding in Python and using relevant AI frameworks to develop scalable models and data pipelines. By collaborating with cross\-functional teams, the AI/ML Engineer ensures that the platform’s AI capabilities meet technical and business objectives. Essential Functions Model Development \& Deployment* * Build and deploy machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit\-learn). * Optimize models for performance, scalability, and security. Data Pipeline Management* * Collaborate with data engineers to design robust data pipelines for model training and inference. * Validate and preprocess datasets to ensure model accuracy and reliability. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Machine Learning Engineer - Apple Store Online Company: Apple Job Category: Machine Learning Roles & Responsibilities: Summary Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry\-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. We are looking for a passionate, highly motivated, and hands\-on applied Machine Learning Engineer. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! This role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple\-wide systems \& infrastructure. As a member of the fast\-paced team, you will have the outstanding and great opportunity to be part of a new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day. Description To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross\-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You’ll mentor other MLE’s and lead an effort to build scalable end\-to\-end machine learning solutions for our retail customers Responsibilities * Collaborate with other MLEs to build scalable, production\-ready ML solutions, taking algorithms from initial concept through to deployment * Contribute to the ongoing improvement of our ML infrastructure and tooling * Engage in continuous learning and development, staying up\-to\-date with the latest advances in machine learning and software engineering * Ability to drive end to end solution collaborating with other MLEs and PMs * Ability to work in a fast pace hands on development organization Role Number: 200692905\-0321 Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Applied Scientist, Alexa Sensitive Content Intelligence (ASCI) Company: Amazon Job Category: Machine Learning Roles & Responsibilities: Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. This is frontier research with immediate real\-world impact. You'll tackle problems that require innovative solutions: training models that remain truthful and grounded across diverse contexts, building reward models that capture the nuanced spectrum of human values across cultures and languages, and creating automated systems that continuously discover and address potential issues before customers encounter them. You'll collaborate with world\-class scientists, product managers, and engineers to transform state\-of\-the\-art ideas into production systems serving millions. * Deep expertise in state\-of\-the\-art NLP, Large Language Models * Track record of building scalable ML systems * Passion for impactful research—where frontier science meets real\-world responsibility at scale * Excitement about solving problems that will shape the future of AI Key job responsibilities The Responsible AI (RAI) team is at the forefront of building AI systems that are safe, ethical, and trustworthy. As an Applied Scientist\-II, you'll be a key contributor to end\-to\-end Responsible AI solutions—developing and refining algorithms that detect and eliminate false information, building models that identify vulnerabilities exploited by bad actors, and training systems that understand human values across diverse cultures. Working alongside world\-class engineers and scientists, you'll apply state\-of\-the\-art NLP and computer vision techniques to content classification and safety challenges—turning cutting\-edge research into production systems that protect millions of customers daily. But here's what makes this role exciting: you'll grow into a future leader. You'll contribute to identifying, defining, and mitigating AI safety risks early—helping protect customers before they're impacted—while building deep expertise in responsible AI. You'll work within multi\-agent architectures, implementing components where distributed AI systems maintain human oversight and control. Every model you build and every experiment you run—from consensus\-driven reasoning modules to orchestration components—will directly strengthen trustworthy AI at the world's largest scale. But here's what makes this role truly special: you'll shape the future. You'll lead efforts to identify, define, and mitigate risks early—protecting customers before they're impacted—and mentor the next generation of AI safety experts. You'll design multi\-agent architectures where distributed AI systems exhibit emergent collective intelligence while maintaining human oversight and control. Every innovation you drive—from consensus\-driven reasoning frameworks to sophisticated orchestration patterns—will set new standards for trustworthy AI at the world's largest scale. As a Responsible AI Scientist, you're at the frontier of AI safety—experimenting with breakthrough techniques that push the boundaries of what's possible. You partner with engineering to transform research into production\-ready solutions, tackling complex optimization challenges. You brainstorm with Product teams, translating ambitious visions into concrete objectives that drive real impact. Your expertise shapes critical deployment decisions as you review impactful work and guide go/no\-go calls. You mentor the next generation of AI safety leaders, watching ideas spark and capabilities grow. This is where science meets impact—building AI that's not just intelligent, but trustworthy and aligned with human values. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Applied Scientist, (AiRES) Company: Amazon Web Services (AWS) Job Category: Machine Learning Roles & Responsibilities: Description AWS Support includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Do you have proven analytical capabilities to identify business opportunities, develop advanced ML solution, Gen AI products, predictive models and optimization algorithms to help us build state of the art Support organization? Team AiRES (Analytics, Insights, Research, Engineering and Science) is looking for a passionate Applied Scientist to deliver insights and identify opportunities through the use of statistics, machine learning, and deep learning to drive business and operational improvements. A successful candidate must be passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, Tooling team, operations, Training, Customer Service, Capacity planning and finance teams, driving optimization and prediction solutions across the network. At Amazon, we are working to be the most customer\-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. Key job responsibilities Team AiRES is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background who will be responsible for establishing scalable, efficient, automated processes for carrying out large\-scale data analysis, machine\-learning model development, model validation and serving customers. You will serve as a key scientific resource in full\-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). As an Senior Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization and will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with and launching new features, iterating models \& stay up to date on latest enhancements in the Data Science ecosystem. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist Company: Smiths Detection Job Category: Machine Learning Roles & Responsibilities: Duties: * Develop, maintain, and document software components using Python, C/C\+\+, and Bash in accordance with established coding standards. * Create and maintain unit tests, component tests, and integration tests, and perform developer testing. * Review datasets, annotations, and labels for quality, completeness, and consistency, and document identified issues. * Create and validate synthetic data for operator training and algorithm training, ensuring suitability, quality, and correct labeling for the intended use. * Maintain and improve Jenkins CI pipelines, including investigating and resolving build and test failures. * Maintain build scripts, software dependencies, configurations, development tools, and the team’s software stack. * Investigate software defects, implement corrective actions, and verify that issues have been resolved. * Participate in code reviews and follow established version control, integration, documentation, and release processes. * Contribute to the continuous improvement of Machine Learning development standards, workflows, and deployment practices. * Collaborate closely with software engineers, data scientists, product manager, product owner and other stakeholders to deliver impactful solutions. * A self\-starter with the ability to manage your time effectively, keen attention to detail and use your own initiative. * Effective communication skills at all levels of the organization and collaborative abilities. * The ability and motivation to persistently pursue and achieve effective results which drive the business forward. * Collaboration and influencing with a Global mindset, cultural awareness. * Proven matrix and stakeholder management skills/experience working virtually in diverse teams. * The ability to make effective, timely decisions in a complex, global market by sourcing and analysing critical information. * The understanding and recognition of the organisation’s commercial environment and positioning themselves, their role and their actions in order to support the organisation’s commercial success. * The ability to engage, challenge and work effectively with others. * The ability to build an effective network of relationships both internally and externally, understanding their customers’ needs. * Willing and able to identify and support change and continuous improvement in own and wider business environment. * Effective communication skills at all levels of the organization and collaborative abilities. * Strong analytical thinking and problem\-solving capabilities. * Ability to work effectively both independently and as part of a multidisciplinary team. * Excellent written and verbal communication skills, with fluency in English. * Strong organizational skills with the ability to manage multiple priorities and deliver results in a timely manner. * Self\-motivated and proactive, demonstrating initiative, attention to detail, and a continuous improvement mindset. * Ability to communicate and collaborate effectively with stakeholders at all levels of the organization. * Demonstrated ability to influence, collaborate, and build relationships across diverse, global, and multicultural teams. * Sound decision\-making skills, with the ability to analyse complex information and make timely, data\-driven recommendations. * Commercial awareness and understanding of how individual contributions support broader business objectives. * Ability to engage constructively, challenge assumptions, and work effectively with internal and external stakeholders. * Strong networking and relationship\-building skills, with a customer\-focused approach. * Commitment to driving change, innovation, and continuous improvement across the organization. * Ability to work effectively in cross\-functional and matrix\-based environments. * Comfortable operating in an international and multicultural business environment. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Junior Data Scientists Company: Siemens Healthineers Job Category: Machine Learning Roles & Responsibilities: Role: To contribute to the end\-to\-end development and product lifecycle management of artificial intelligence and machine learning (AI/ML) systems as part of an R\&D organization. The Junior Data Scientist supports the definition of intended algorithm performance, the development and curation of representative data and annotations, the development of AI/ML algorithms, and the generation of scientific evidence demonstrating stand\-alone algorithm performance. * Apply scientific, statistical, machine learning, and software engineering methods to develop and evaluate AI/ML algorithm components for defined product use cases. * Work with experienced Data Scientists, product management, clinical or domain experts, software developers, and quality and regulatory functions to translate customer needs and the intended use into measurable algorithm performance targets. * Support the definition, sourcing, curation, documentation, and maintenance of representative data cohorts and annotations required for training, tuning, and evaluation. * Plan and execute reproducible scientific evaluations that provide objective evidence of algorithm performance, limitations, and suitability for the intended use. * Contribute the Data Science work products and evidence required for integration of AI/ML algorithm components into products and for their verification, validation, regulatory release, and lifecycle monitoring. What are my responsibilities? * Support the finalization of product and algorithm concepts by translating customer needs, intended use, clinical or technical requirements, and applicable regulatory considerations into measurable state\-of\-the\-art performance targets. * Contribute to the definition of the AI/ML development and scientific evaluation strategy for assigned algorithm components under the guidance of experienced Data Scientists. * Perform exploratory data analysis and data risk assessments to identify data gaps, quality issues, potential bias, confounding factors, outliers, and limitations that may affect algorithm development or evaluation. * Define and document data needs for training, tuning, and evaluation, including relevant subgroups and acceptance criteria, so that data cohorts are representative of the intended use and aligned with the product and regulatory strategy. * Support the specification of annotations, acceptance criteria, and quality controls; collaborate with qualified internal or external suppliers on sourcing data and annotations. * Curate, version, maintain, and document representative data cohorts and ensure data provenance, traceability, quality, and fitness for purpose together with data management stakeholders. * Design, implement, train, tune, and technically characterize AI/ML algorithm components using appropriate machine learning, deep learning, statistical, or generative AI methods. * Define scientifically justified metrics, evaluation methods, test cases, and acceptance criteria to assess stand\-alone algorithm performance, including relevant aspects such as accuracy, robustness, reliability, generalizability, explainability, bias, and subgroup performance. * Implement and execute reproducible bench tests on representative evaluation cohorts and relevant subgroups as part of the verification and validation strategy. * Analyze and interpret evaluation results, investigate failure modes, document residual limitations, and derive evidence\-based recommendations for algorithm improvement and product decisions. * Document development and evaluation activities and contribute to Data Science work products such as data management information, annotation specifications, scientific evaluation test cases, and scientific evaluation reports. * Provide scientific evidence and technical input for product reviews and regulatory submissions and support responses to questions concerning data, annotations, evaluation methods, and stand\-alone algorithm performance. * Support the design and execution of clinical investigations, reader studies, or other studies when additional evidence is required by the product or regulatory strategy. * Collaborate with software engineering and MLOps functions to establish reproducible pipelines, versioned artifacts, automated tests, controlled deployment, and integration of algorithm components into the product. * Help define and implement monitoring metrics for detecting data anomalies, outliers, and algorithm performance drift across the product lifecycle. * Regularly review advances in Data Science and AI and assess their applicability to the development and evaluation of AI/ML products. * Sound understanding of machine learning, deep learning, statistical analysis, experimental design, and model evaluation. * Active programming skills in Python and practical experience with libraries and frameworks such as NumPy, Pandas, SciPy, scikit\-learn, PyTorch, TensorFlow, or Keras. * Hands\-on experience with the development workflow of AI/ML models, including data preparation, training, tuning, evaluation, error analysis, reproducibility, and documentation. * Ability to define meaningful performance metrics, evaluation cohorts, subgroup analyses, test methods, and acceptance criteria for the intended use of an AI/ML algorithm. * Understanding of data quality, representativeness, bias, annotation quality, data provenance, and traceability in AI/ML development. * Knowledge of Machine Learning Operations (MLOps) concepts and tooling, including source and data versioning, reproducible pipelines, experiment tracking, automated testing, CI/CD, deployment, and monitoring. * Hands\-on exposure to current Large Language Models and Generative AI, including foundation models, prompting, retrieval\-augmented generation, and model adaptation or fine\-tuning. * Knowledge of Agentic AI, including tool\-using models, multi\-step workflows, orchestration, memory, and autonomous or semi\-autonomous decision paths, is an advantage. * Experience or strong interest in the systematic evaluation of LLM, Generative AI, and Agentic AI systems, including task\-specific benchmarks, groundedness and factuality, robustness, reproducibility, human evaluation, safety and guardrail testing, tool\-use correctness, and analysis of failure modes. * Experience with databases and query languages such as SQL; knowledge of Kusto Query Language, Snowflake, or graph databases such as Neo4j is an advantage. * Exposure to cloud\-based data and AI environments, preferably Microsoft Azure, such as Azure Blob Storage, Azure Databricks, Azure Data Factory, Azure Machine Learning, Azure Monitor, or Azure DevOps. * Experience with structured and unstructured data, for example machine logs, event data, Parquet files, text data, or multimodal data. * Knowledge of healthcare, medical technology, clinical data, or interoperability standards such as DICOM is preferred. * Basic project management skills and familiarity with working in cross\-functional R\&D or product\-development teams. * Scientific mindset, strong analytical ability, and attention to detail. * Commitment to objective evidence, reproducibility, traceability, data integrity, and responsible AI development. * Curiosity and resilience to investigate unexpected results, challenge assumptions, and improve models based on evidence. * Collaborative approach to working with Data Scientists, domain experts, software engineers, product management, and quality and regulatory stakeholders. * Ability to work independently within an agreed scope and to seek guidance when technical, scientific, product, or regulatory implications require alignment. * Clear written and verbal communication skills in English, including the ability to explain methods, results, uncertainties, limitations, and risks to technical and non\-technical stakeholders. Work Location: Bengaluru, India Availability: Full time
Job Title: Senior Data Science Engineer Company: Sabre Job Category: Machine Learning Roles & Responsibilities: At Sabre, we’re passionate about building software that solves problems. In this role, you will plan, design, develop, and test new products and solutions revelevant for the industry and Sabre, help build software systems or applications for software enhancements. Role And Responsibilities Architects, codes, and deploys complex software solutions or data intelligence pipelines that integrate advanced mathematical algorithms and machine learning models into Sabre’s core retailing, Network Planning, Agency Automation, and Departure Control platforms. Drives Research \& Innovation by identifying, prototyping, and scaling "next\-gen" ideas within the travel domain, such as AI\-driven automation for Travel Management Companies (TMCs) and personalized, real\-time itinerary optimization. Collaborates with cross\-functional leadership , including architects and product managers, to align technical roadmaps with business goals like NDC adoption, total travel cost optimization, and operational efficiency. Mentors and develops junior data scientists and engineers, fostering a culture of rigorous experimentation, academic\-level research, and high\-performance engineering. Self\-motivated leadership , capable of driving complex, cross\-functional projects to completion with minimal direction. Work Location: Bengaluru, Karnataka, India Availability: Full time
