Job Title: Principal I, Data Engineering (T) Company: Alcon Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: * Design, develop, and operationalize reusable, scalable, and modular data and analytics platforms aligned with Alcon’s enterprise architecture to enable efficient, consistent, and automated value generation from data. * Lead the design and implementation of end\-to\-end cloud\-native data solutions on AWS, including data ingestion, transformation, orchestration, and consumption layers. * Develop and maintain robust, scalable, and high\-performance ETL/ELT data pipelines using AWS services such as Glue, Lambda, S3, Step Functions, EventBridge, and related technologies. * Design and optimize data warehouse solutions using Amazon Redshift, including schema design, performance tuning, workload management, partitioning, and query optimization. * Partner with data architects to define technical architectures, data integration patterns, and best practices for data and analytics products. * Design and implement conceptual, logical, and physical data models that support scalable analytics, reporting, and AI/ML use cases. * Advise, mentor, and coach data engineering and analytics teams on cloud architecture, data modeling, data governance, data quality, and engineering best practices. * Participate in backlog grooming, sprint planning, technical design reviews, and effort estimation activities. * Perform data analysis, data profiling, and data modeling to deliver actionable business insights and support strategic decision\-making. * Evaluate, implement, and deploy emerging data engineering, cloud, and analytics technologies to improve platform capabilities, scalability, and team productivity. * Foster a culture of innovation, collaboration, engineering excellence, automation, and continuous improvement. * Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline. * 7\+ years of hands\-on experience in data engineering, including designing, building, and supporting enterprise\-scale ETL/ELT pipelines, data platforms, data lakes, and data warehouse solutions. * 5\+ years of hands\-on experience developing cloud\-native data solutions on AWS, including S3, Redshift, Glue, Lambda, IAM, CloudWatch, EventBridge, and related services. * 4\+ years of programming experience in Python, Scala, or Java, with strong software engineering fundamentals. * 3\+ years of hands\-on experience designing, developing, optimizing, and supporting Amazon Redshift\-based data warehouse solutions. * 3\+ years of hands\-on experience with dimensional data modeling, star and snowflake schema design, data vault methodologies, and analytical data structures. * 2\+ years of experience designing both batch and streaming architectures for real\-time or near real\-time data ingestion and processing. * Strong experience building and maintaining scalable data pipelines using technologies such as AWS Glue, Apache Airflow, Kafka, Spark, or equivalent cloud\-native services. * Experience with two or more database technologies (e.g., PostgreSQL, MySQL, MongoDB) and cloud data warehouse platforms (e.g., Amazon Redshift, Snowflake, BigQuery). * Experience with source control, CI/CD, infrastructure\-as\-code, and automated deployment practices for data platforms. * Proficient with business intelligence and data visualization tools such as Tableau and Amazon QuickSight. * Strong understanding of data quality, data governance, metadata management, lineage, and monitoring practices. * Thrives in dynamic, cross\-functional team environments and demonstrates a collaborative, team\-first mindset. * Passionate problem solver with strong analytical and troubleshooting skills. * High learning agility and a continuous improvement mindset. Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason. Work Location: Karnataka, India Availability: Full time

Job Title: Data Scientist Company: Philips Job Category: Machine Learning Roles & Responsibilities: Job Description Data Scientist We're seeking with strong expertise in Agentic AI, Generative AI , Machine Learning, Predictive modelling, time\-series analysis, longitudinal pattern mining to join our team. In this role, you will design and build innovative and ethically responsible AI solutions that effectively address real\-world problems, balancing technical feasibility with user needs and business impact. Your Role * Design, train, and evaluate LLM\-based solutions for various use cases, including retrieval\-augmented generation (RAG), information retrieval \& search, chatbots, * structured information extraction and named entity recognition, text generation, summarization, and more * Design, develop, and deploy a Machine Learning, Predictive modelling. * Design, develop, and deploy agentic AI systems and autonomous AI workflows using large language models and advanced reasoning architectures * Perform the time\-series analysis, longitudinal pattern mining on the data sets. * Perform the Research \& Analysis (Example literature survey) * Clean, preprocess, and curate data for evaluation, fine\-tuning, and training * Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data\-driven insights * Keep up the latest advancements in generative AI research and integrate new techniques into the development process Preferred Skills * Data Analysis \& Interpretation * Prompt Engineering * Agentic AI * Generative AI * Predictive modelling * Time\-series analysis * Longitudinal pattern mining. * Data Governance * Statistical Methods * Statistical Programming Software * Business Intelligence Tools * Data Mining * Machine Learning Engineering Fundamentals * Machine Learning \& Deep Learning * Model Development \& Deployment * Research \& Analysis * Requirements Analysis * Root Cause Analysis (RCA) * Data Quality Management Systems * Regulatory Compliance Onsite roles require full\-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This role is an office\-based role. Work Location: Bengaluru, Karnataka, India Availability: Full time

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: Lead Product Developer Company: BMC Software Job Category: Machine Learning Roles & Responsibilities: Hybrid: \#LI\-Hybrid BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry\-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage. The Control\-M product line is BMC’s orchestration and automation platform. It helps the world's largest companies to automate time\-sensitive, business\-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting\-edge technologies, conducting innovative Just Do It marathons, thinking about new features to add and investing in our employee training programs! Here is how, through this role, you will contribute to BMC’s and your own success: * Product Engineering (Primary Focus) – Design, build, and iterate on core components of a data automation and data management platform across the full stack, taking features from concept through production in a 0–1 product environment. * Hands\-on Development – Spend most of your time writing high\-quality, production\-ready code across the stack, including backend development (primarily Java and Python) and frontend development ReactJS (latest versions), reviewing pull requests, and improving existing systems with a strong bias toward simplicity, maintainability, and delivery. * Data Platform Capabilities – Implement platform capabilities such as data orchestration, data lineage, observability, governance, and resilience, with a practical understanding of how enterprise customers operate and scale data platforms. * Integration \& Cloud Enablement – Build and maintain integrations across frontend and backend with cloud platforms (AWS, Azure, GCP) and enterprise systems to support automation, deployment, and real\-world customer environments. * Product Collaboration – Partner closely with product management, designers, and stakeholders to translate product requirements into end\-to\-end working software, provide implementation feedback, and support rapid learning from customer feedback. * 10\+ years of professional software development experience, including time spent building and shipping B2B products for external customers. * Strong proficiency in Java/Python, with hands\-on experience delivering and maintaining production\-grade systems. * Good system design skills, with the ability to make sensible trade\-offs between short\-term delivery and longer\-term platform evolution. * Comfort operating in ambiguous, startup\-style environments where priorities evolve and engineers are expected to lead through execution. * Strong communication skills and the ability to collaborate effectively with engineers, product managers, and other stakeholders. Whilst these are nice to have, our team can help you develop in the following skills: * + Solid experience with data products, particularly in one or more of the following areas: * + Data orchestration * + Data management platforms * + Data lineage, observability, or governance * Experience building or extending workflow orchestration platforms (e.g., Airflow, Dagster, Prefect), including custom operators and production deployments. * Experience contributing to or commercializing open\-source software. * Familiarity with AI/ML concepts, including how emerging technologies (such as LLMs) could enhance automation or developer productivity in data platforms. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. Work Location: 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: 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: Senior Member Technical Staff ( Postgres DBA) Company: The Nielsen Company Job Category: Machine Learning Roles & Responsibilities: Job Description We are seeking a highly autonomous and strategic Senior MTS (P3\) to architect, scale, and take full ownership of our PostgreSQL database infrastructure. At this level, you will not just maintain databases; you will drive our data architecture, define best practices for High Availability (HA) and Disaster Recovery (DR), and lead cross\-functional initiatives to ensure our systems are resilient, performant, and scalable. This role requires a proactive problem\-solver who bridges the gap between complex application logic and optimal database design, while leveraging modern cloud infrastructure and AI technologies to future\-proof our stack. Key Responsibilities * Architectural Leadership: Lead the design and deployment of highly scalable, distributed database architectures that support complex, high\-throughput application requirements. * Infrastructure Reliability \& HA: Design, implement, and manage High Availability (HA) architectures. Configure and maintain streaming \& logical replication, clustering, and automated failover mechanisms. Proactively identify single points of failure and engineer automated failover mechanisms. * Disaster Recovery (DR): Develop, execute, and test robust disaster recovery plans. Ensure data durability through automated backup strategies and rapid point\-in\-time recovery (PITR) procedures. * Advanced Query \& Performance Engineering: Perform deep\-dive performance tuning. Analyze complex execution plans, optimize locking behaviors, and design and implement advanced partitioning and indexing strategies. * Cloud \& Infrastructure Management: Drive the deployment, security, and cost\-optimization of PostgreSQL within modern cloud environments (AWS, GCP, or Azure), utilizing infrastructure\-as\-code (IaC). * End\-to\-End Ownership: Take full accountability for database health, migrations, and data integrity from the development phase through production deployment. * Cross\-Functional Mentorship \& Ownership: Act as the ultimate owner of database health. Collaborate closely with software engineering teams to influence backend code, guide API data access patterns, and mentor junior engineers on database best practices. * AI Integration \& Tech Exploration: Lead the evaluation and integration of emerging technologies, including NoSQL data stores and AI/ML vector databases (e.g., pgvector), to solve complex business problems. * Complex Problem Solving: Act as a key technical escalation point. Leverage strong analytical skills to diagnose deep systemic issues, perform rigorous root\-cause analysis (RCA), and implement highly scalable, permanent solutions for production bottlenecks. Work Location: 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