Job Description Senior Manager, ML Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview As an ML Engineer in the Generative AI (GenAI) space, you will play a pivotal role in the development and deployment of GenAI Solutions. You will work with Large Language Models (LLMs) to solve business problems by prompting, agent creation, and other GenAI methods. Working closely with data scientists, you will build and optimize scalable models for various applications along with leverage MLOps tooling to provide continuous evaluation and improvements. Proficient in programming languages like Python and skilled in software engineering, you will bridge the gap between theoretical research and practical implementation, contributing significantly to technological advancements. What Will You Do In This Role Design, code, verify, test, document, amend and refactor moderately complex programs/scripts. Apply agreed standards and tools to achieve a well-engineered result. Identify issues related to software development activities. Propose practical solutions to resolve issues. Design system components using appropriate modeling techniques following agreed architectures, design standards, patterns, and methodology. Identify and evaluate alternative design options and trade-offs. Create multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements. Produce detailed design specifications to form the basis for the construction of systems. Review, verify, and improve own designs against specifications. Produce software builds from software source code for loading onto target hardware. Configure the hardware and software environment as required by the system being integrated. Produce integration test specifications, conduct tests and record and report on outcomes. Perform basic risk assessments for small information systems. Contribute to the identification of risks that arise from potential technical solution architectures. Suggest alternate solutions or countermeasures to mitigate risks. Design test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting test outcomes. Elicit requirements for systems and software life cycle working practices and automation. Prepare design options for the working environment of methods, procedures, techniques, tools, and people. Undertake complete design of moderately complex software applications or components. Specify user and/or system interfaces. Assist as part of a team in the design of components of larger software systems. Participate in Agile ceremonies with the team to execute on prioritized projects and features. What Should You Have Bachelors’ degree in Information Technology, Computer Science or any Technology stream. 7+ years of experience in programming skills in Python. Knowledge of JavaScript/Typescript, C++ is a plus. Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, and NumPy). Experience with data preprocessing, feature engineering, and model selection. Knowledge of data structures, software engineering principles, and ML Ops. Deep understanding of machine learning algorithms and principles. Experience with Natural Language Processing (NLP) and Generative AI. Experience with cloud platforms (e.g., AWS, Azure, GCP). Strong analytical and problem-solving abilities. Effective communication and interpersonal skills to liaise with cross-functional teams. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Data Engineering, Design Applications, Information Security, Machine Learning, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing Preferred Skills Job Posting End Date 07/4/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R337369 Show more Show less

Role & responsibilities Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions. Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration. Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance. Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance. Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives. Preferred candidate profile Bachelors degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects. Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools. Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing. Experience with Microsoft Azure cloud services and their AI/ML offerings Experience with event-handling systems such as Kafka Experience with big data technologies and data engineering practices. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Job Title: Data Science Intern (Remote | Unpaid | 3–6 Months) Company: Coreline Solutions Location: Remote Employment Type: Internship (Unpaid) Duration: 3 to 6 Months About Coreline Solutions Coreline Solutions is a forward-thinking technology and business services company dedicated to leveraging data to solve real-world problems. We partner with startups and enterprises to deliver insights, automation, and innovation through data science and AI-driven solutions. About the Internship We are looking for a passionate and curious Data Science Intern to join our team remotely. This internship is designed for students or recent graduates seeking hands-on experience in data science, including machine learning, data engineering, and statistical analysis. Responsibilities Assist in collecting, cleaning, and processing structured and unstructured data Perform exploratory data analysis (EDA) to identify patterns and insights Develop and evaluate machine learning models for prediction or classification tasks Visualize data using tools such as Matplotlib, Seaborn, or Tableau Document project processes, methodologies, and findings Collaborate with the team on data-driven product features and client solutions Preferred Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field Basic knowledge of Python and popular libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow Familiarity with SQL and data visualization tools Understanding of machine learning principles and statistical analysis Strong analytical, communication, and problem-solving skills Ability to work independently in a remote team environment What You’ll Gain Hands-on experience in real-world data science projects Mentorship from data professionals Improved technical and analytical skills Exposure to collaborative tools and remote workflows Certificate of completion and a professional letter of recommendation Opportunity to build a project portfolio Equal Opportunity Statement Coreline Solutions is proud to be an equal opportunity organization. We are committed to creating an inclusive environment for all team members and interns, regardless of background, identity, or experience. How to Apply: Submit your resume along with a short note (max 200 words) explaining your interest in data science and this internship opportunity. Show more Show less

Job Description Are you passionate about data science with a comprehensive understanding of analytical principles, tools, technologies, and the capability to convey insights to both executive and non-technical audiences? If so, this could be the ideal opportunity for you. As an Analytics Solutions Analyst on the Instrumentation & Metrics (I&M) team, you are in integral part of the team that will be responsible for leveraging your expertise in data science to develop and maintain production grade models using various analytical techniques. You will provide ad-hoc analytics support to the Payments organization, transforming complex data into actionable insights. Additionally, you will guide the team on best practices and techniques in data science, ensuring the effective use of data to drive business decisions. Job Responsibilities Develop complex analytical models that provide a comprehensive view of the business by integrating data from multiple sources. Utilize advanced SQL, Alteryx, Tableau, and Python programming skills, along with expertise in multivariate statistics, quantitative modeling, and advanced analytical methods (e.g., supervised/unsupervised machine learning, time-series predictions, NLP, etc.). Conduct data discovery and analytics to extract insights that enhance existing financial products and support decision-making processes. Collaborate with product managers, data architects, software engineers, and business analysts to build a company-centric analytics product in a production environment. Demonstrate excellent understanding of business strategy and data science opportunities. Communicate complex data challenges and solutions to diverse audiences across various levels of the banking organization, including those unfamiliar with advanced machine learning techniques. Required Qualifications, Capabilities And Skills Bachelor’s or Master’s degree in statistics, mathematics, data science, or a related technical or quantitative field, with 3+ years of applied experience. Strong understanding of agile methodologies, statistics, and AI/ML engineering, with a proven track record of developing and deploying business-critical machine learning models in production. Proficiency in programming languages such as Python, and experience with machine learning frameworks, libraries, and APIs, including TensorFlow, PyTorch, Scikit-learn, etc. Ability to identify and address AI/ML challenges, implement optimizations, and fine-tune models for optimal performance. Basic knowledge of data system components to determine necessary controls. Excellent written and verbal communication skills to effectively convey technical concepts and results to both technical and business audiences. Preferred Qualifications, Capabilities And Skills Familiarity with the financial services industry. Background in NLP and advanced analytics. Knowledge of financial products and services, including trading, investment, and risk management. Experience working with databricks/snowflake. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Assist in utilizing AI tools for models to analyze fashion trends, customer preferences, and design patterns. Work with design software, including AI-driven fashion design platforms, to assist in creating clothing collections based on data-driven insights. Support the development and training of AI models to generate fashion design concepts, patterns, and color palettes. Research and test new AI technologies and tools in the fashion design field. Help create AI-generated prototypes and assist in the design and adjustment process for physical samples. Analyze data from AI models and report findings to the design team for further development. Assist in maintaining the company’s design archives and AI-generated model databases. Stay updated on AI trends and fashion technology innovations. Requirements Completed a degree in Fashion Design or a related field. Basic knowledge or interest in the intersection of fashion design and artificial intelligence. Familiarity with fashion design software (e.g., Adobe Illustrator, CLO 3D, or similar) and AI tools (e.g., TensorFlow, PyTorch, or design-specific AI platforms). Strong problem-solving skills and an analytical mindset. Creative and open-minded with a passion for fashion and innovation. Ability to work collaboratively with both design and technology teams. A portfolio demonstrating design work or any AI-related projects (preferably fashion-related) is a plus. Job Type: Full-time Pay: ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Experience Required 2 to 4 years of experience in AI/ML model development, deployment, and optimization. Hands-on experience in building machine learning pipelines and working with large datasets Domain Experience (Functional) Experience in domains such as natural language processing (NLP), computer vision, predictive analytics, or recommendation systems. Exposure to industry-specific AI applications (e.g., healthcare, finance, retail, manufacturing) is a plus. Qualification Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field Roles & Responsibilities Design, develop, and deploy machine learning and deep learning models. Collaborate with data engineers and domain experts to collect, clean, and preprocess data. Conduct experiments, evaluate model performance, and iterate for improvement. Integrate AI models into production systems and monitor their performance. Stay updated with the latest research and advancements in AI/ML. Document model development processes and contribute to knowledge sharing. Technical Skills Proficient in Python and core ML libraries: TensorFlow, PyTorch, Scikit-learn. Strong with Pandas, NumPy for data handling. Solid grasp of ML algorithms, statistics, and model evaluation. Familiar with cloud platforms (AWS/Azure/GCP). Experience with Git and basic CI/CD for model deployment

About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Position Summary We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology. Key Responsibilities Design and implement software solutions that power machine learning models, particularly in LLMs Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility Design and implement a scale infrastructure for developing and deploying GenAI solutions Support model deployment and API integration to ensure interaction with existing enterprise systems. Basic Qualifications A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field Experience: 3-5 Years Strong programming skills in Python and Java Good understanding of machine learning fundamentals Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) Familiar with frontend development and frameworks like React Basic knowledge of LLMs and transformer-based architectures is a plus. Preferred Qualifications Excellent problem-solving skills and an eagerness to learn in a fast-paced environment Strong attention to detail and ability to communicate technical concepts clearly ‍ Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted. Show more Show less

About the Role A Senior Machine Learning Engineer is an accomplished expert in designing and deploying advanced machine learning solutions. They possess deep expertise in algorithms, programming languages like Python, and specialized frameworks. This role involves leading complex machine-learning projects, making critical architectural decisions, optimizing performance models, and collaborating with interdisciplinary teams. Senior Machine Learning Engineers contribute to cutting-edge research, develop innovative solutions, and stay at the forefront of the field to deliver impactful and state-of-the-art machine learning applications. Responsibilities Designing and programming machine learning methods and integrating them into our ML framework/pipeline. Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science. Provide mentorship and guidance to junior machine learning engineers, to review and improve their code, ensuring adherence to coding standards, performance optimization, and maintainability. Helping junior team members enhance their technical skills and overall professional development. Stay up-to-date with the latest advancements and trends in machine learning, deep learning, and related fields. Conduct research and explore new technologies, frameworks, and tools to improve our machine-learning models and processes. Collaboratively design and implement machine learning systems and infrastructure, leveraging your experience to make informed decisions and drive successful outcomes. Requirements B.E.\B. Tech\M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image, and signal processing, or statistics preferred. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world data. Strong programming background, and knowledge of software engineering concepts (OOP, design patterns). Knowledge of machine learning libraries TensorFlow, Jax, Keras, Scikit-learn, PyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, advanced probability concepts, linear algebra. Ability to perform both independent and collaborative research. Excellent written and spoken communication skills. A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems is a big plus. Show more Show less

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are looking for a passionate and skilled Python, AI/ML Lead Engineer with 7+ years of experience to join our team. As a Python/AI Lead, you will oversee the development and implementation of machine learning models, AI-driven solutions, and data-driven products. You will guide a team of engineers and collaborate with cross-functional teams to ensure the timely and high-quality delivery of projects. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we’d love to hear from you. What You’ll Do Lead the design, development, and deployment of Gen AI and machine learning solutions using Python. Provide technical guidance and mentorship to team members, ensuring code quality, best practices, and performance optimization. Collaborate with product managers, data scientists, and other stakeholders to define project requirements and objectives. Take ownership of the full software development lifecycle (SDLC), from design to deployment, maintenance, and optimization. Perform code reviews, write technical documentation, and maintain high standards of software quality. Stay up to date with the latest trends and advancements in AI, machine learning, and Python development. Identify and mitigate technical risks in projects while ensuring timely delivery. Foster a collaborative environment and promote knowledge sharing across the engineering team. What You’ll Need 7+ years of professional experience in Python development, with at least 2 years in a technical leadership role. Strong hands-on experience with AI/ML frameworks, Gen AI LLMs and libraries such as TensorFlow, Scikit-learn,or Keras. Python – Strong hands-on experience. Machine Learning – Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI – Experience working with LLMs or similar GenAI technologies. API Development – RESTful APIs and integration of ML models into production services. Databases – Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.). Good To Have Skills Cloud Platforms – Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript – Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.) Exposure to containerization (Docker) and orchestration (Kubernetes). WHAT’S IN IT FOR YOU? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability Show more Show less

Job Profile* *Role:* AI Developer *Location:* Delhi *Experience:* 6-10 Years *Qualifications:* 1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 2. Proven experience of 6-10 years as an AI Developer or similar role. 3. Proficient in coding and ability to develop and implement AI models and algorithms from scratch. 4. Strong knowledge of AI frameworks and libraries. 5. Proficiency in data manipulation and analysis methods. 6. Excellent problem-solving abilities and attention to detail. 7. Good communication and teamwork skills. *Responsibilities:* 1. Implement AI solutions that seamlessly integrate with existing business systems to enhance functionality and user interaction. 2. Manage the data flow and infrastructure for the effective functioning of the AI Department. 3. Design, develop, and implement AI models and algorithms from scratch. 4. Collaborate with the IT team to ensure the successful deployment of AI models. 5. Continuously research and implement new AI technologies to improve existing systems. 6. Maintain up-to-date knowledge of AI and machine learning trends and advancements. 7. Provide technical guidance and support to the team as needed. *Coding Knowledge Required:* 1. Proficiency in programming languages like Python, Java, R, etc. 2. Experience with machine learning frameworks like TensorFlow or PyTorch. 3. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. 4. Familiarity with databases, both SQL and NoSQL. 5. Understanding of data structures, data modeling, and software architecture. 6. Experience with distributed data/computing tools like Hadoop, Hive, Spark, etc. Job Type: Full-time Pay: ₹14,214.66 - ₹66,535.00 per month Schedule: Day shift Work Location: In person

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities Develop and validate computational models for the process, structure, and multi-physics analysis with FEM and CFD tools (e.g., Abaqus, ANSYS Fluent, COMSOL, Star-CCM). Conduct simulations and analyze results to optimize designs and ensure compliance with industry standards. Ability to comprehend statistical process analysis and control systems. Utilize data analysis and machine learning techniques to improve the accuracy and efficiency of simulations. Collaborate with cross-functional teams to support product development and troubleshoot engineering issues. Prepare technical reports and presentations to communicate analysis results and recommendations. Stay updated with the latest advancements in FEA, CFD, numerical methods, computational geometry, and machine learning. Qualifications Master's or PhD degree in Chemical Engineering, Applied Chemistry, Applied Physics, Materials Science, or related fields. 5+ years of experience in computational modeling. Experience with numerical methods, scientific computing and scripting languages (e.g., Python, MATLAB, FORTRAN, C++). Experience with data analysis tools and machine learning frameworks (e.g., Python, TensorFlow, etc.). Familiar with FEA, FVM, PFM, HPEM, methods and implementations. Excellent problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced environment. Experience with HPC on Linux environment Experience with computational geometry and mesh generation techniques. Preferred Skills Knowledge of multi-physics simulations and advanced material models. Strong background in computational fluid dynamics, thermodynamics, physics, chemistry, and statistical/data analysis. Strong communication and presentation skills. Ability to manage multiple projects and meet deadlines. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. Show more Show less

We are seeking an experienced Gen AI and LLM Developer to design, develop, and deploy generative AI models and large language models (LLMs) for advanced natural language processing (NLP) tasks. The ideal candidate will have 6-9 years of experience with LLM architectures (e.g., GPT, BERT), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure). Responsibilities include training and fine-tuning models, optimizing for performance, collaborating with cross-functional teams, and staying updated on the latest AI trends. Strong technical skills in Python, NLP techniques, model optimization, and distributed training are essential.Experience designing scalable system with Generative AI" and "Exposure to full stack development on .net or Java based platform

Job Title: MLOps Architect Experience: 10+ Years Location: Remote Type-Contractual About the Role: We are seeking experienced MLOps Engineers to join our growing team of AI/ML professionals. The ideal candidate will have deep experience in machine learning deployment pipelines , infrastructure automation , and monitoring , with a passion for building scalable and reliable systems. This is a remote full-time opportunity with a competitive compensation package. Key Responsibilities: Design, develop, and maintain robust CI/CD pipelines for deploying machine learning models into production. Package and deploy models built with TensorFlow or PyTorch using Azure ML , AWS SageMaker , or GCP Vertex AI . Automate containerization using Docker , and manage deployment using Kubernetes (preferred). Collaborate with data scientists and engineers to streamline model training, evaluation, and deployment workflows. Implement monitoring and alerting systems using tools such as Prometheus , Grafana , and Azure Monitor . Ensure system reliability, availability, and performance optimization across environments. Maintain and manage version control using Git and CI/CD pipelines using GitLab CI/CD or equivalent. Work in a Linux environment, writing scripts to automate deployment, logging, and maintenance tasks. Required Skills: Strong hands-on experience with Docker , CI/CD pipelines , and Linux-based deployments . Experience with cloud platforms: Azure ML (preferred), AWS , or GCP . Proficiency in Python scripting and automation. Familiarity with ML model deployment pipelines and infrastructure as code. Experience with monitoring tools like Grafana , Prometheus , and Cloud-native logging/alerting systems . Working knowledge of Kubernetes (preferred). Ideal Candidate Profile: 6+ years of experience in MLOps, DevOps , or related backend infrastructure roles. Proven experience in deploying TensorFlow/PyTorch models in production environments using Azure ML and GitLab CI/CD . Demonstrated expertise in monitoring , alerting , and performance tuning of ML systems. Strong problem-solving, communication, and documentation skills. Show more Show less

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework – Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless: Experience with Azure Function Apps or AWS Lamba functions Cloud: Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call. The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs. How will you make an impact? Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 4-7 years of data science work experience, including implementing machine learning and NLP models using real-life data. Strong research skills, with a proven track record of developing and implementing advanced machine learning algorithms. Advanced knowledge of supervised and unsupervised machine learning algorithms. Excellent proficiency in Python programming. Experience with deep learning models and libraries such as PyTorch, TensorFlow, Hands-on experience with transformer models and Gen AI frameworks (HuggingFace, AWS Bedrock, Azure Foundry ). Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Experience deploying models in production environments, ensuring scalability and performance using AWS/GCP/Azure Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge. Experience with Retrieval-Augmented Generation (RAG) pipelines Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience working on international, globe-spanning teams. Past participation in a formal research setting. Experience as part of a software organization What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 7294 Reporting into : Tech Manager Role Type : Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

Applications are invited for the Post of Junior Research Fellowship (JRF) for the DST_SERB Funded Project in the School of Electronics Engineering (SENSE), FILENO. CRG/2023/005678, Vellore Institute of Technology (VIT). Title of the Project : EEG-based investigation of the fundamental frequency coding for source segregation in elderly normal-hearing adults. Qualification : First division Master's Degree in Electronics and Communication Engineering or equivalent with specialization in Signal Processing or B.Tech. in ECE/EIE/EEE/ETC from a recognized University or equivalent. Desirable: GATE/NET qualified; however, non-GATE/NET candidates are also encouraged to apply. Describe if any Candidates must have strong knowledge of Signal Processing and MATLAB software. Additionally, knowledge of Deep Neural Networks will be given more preference. The candidate will acquire the neural representations of speech signals using the EEG device from human subjects (younger and older subjects), apply signal processing techniques to these neural representations to test the hypotheses, and will be responsible for writing project reports, papers, and coordinating project activities. Stipend : 31,000/- (for starting 6 months) and 35,000 (last year) per month for GATE/NET-qualified candidates . Sponsoring Agency : DST-SERB, Government of India. Duration : 1.5 years Principal Investigator : Dr. Anantha Krishna Chintanpalli , Professor in Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore - 632 014, Tamil Nadu. Co-Principal Investigator : Dr. R. Sivakumar Professor in Sensor and Biomedical Technology School of Electronics Engineering Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Send your CV along with relevant documents about the details of qualifications, scientific accomplishments, experience (if any), and the latest passport-size photo on or before 20/06/2025. Apply online http://careers.vit.ac.in. No TA and DA will be paid for appearing in the interview. Shortlisted candidates will be called for an interview at a later date, which will be intimated by email. Candidates will be shortlisted based on their merit and as per the requirements of the project. The selected candidate will be expected to join on or before 1st August 2025. The selected candidate may be permitted to register for the PhD program of VIT Vellore subject to fulfilling the requirements of the PhD qualification process as per the institute norms.

About the job A little about us... LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across 35 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more info, please visit www.ltimindtree.com Job Details- We are having a weekend drive for the requirement of a Data Scientist at our Bangalore office. Date - 14th June Experience - 4 to 12 Yrs. Location – LTIMindtree Office Bangalore Whitefield Notice Period - Immediate to 60 Days only Mandatory Skills- Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD : More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen. Show more Show less

Job Summary: We are seeking a skilled and innovative Data Scientist to join our team. The ideal candidate will have hands-on experience in AI/ML model development , Big Data processing , and working with cloud platforms like AWS . You will be responsible for analyzing large-scale datasets, developing machine learning models, and delivering actionable insights to drive business decisions. Key Responsibilities: Design, develop, and deploy machine learning and AI models to solve complex business problems. Work with large datasets using Big Data technologies (Hadoop, Spark, etc.). Build scalable data pipelines and workflows using Python, SQL, and cloud-native tools. Implement data preprocessing, feature engineering, and model tuning techniques. Use AWS services (e.g., S3, SageMaker, Lambda, EMR) for data processing, model training, and deployment. Collaborate with data engineers, analysts, and business stakeholders to define requirements and deliver solutions. Communicate findings clearly through dashboards, reports, or presentations. Required Skills: Strong programming skills in Python and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with Big Data frameworks such as Spark , Hadoop , or Hive . Hands-on experience with AWS cloud services related to data science and ML. Solid understanding of machine learning algorithms, model evaluation, and tuning. Show more Show less

Hi, Hope all doing well!! Here I am sharing Job opportunity for AI Developer to one of my client. If any one interested please share cvs at pravallika.chitikela@pisquaretech.com Job description Key Responsibilities: Design, develop, and deploy AI-powered agents and intelligent automation solutions. Work extensively with LLMs, NLP, ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Integrate AI solutions into enterprise systems and business processes using APIs and RPA tools (e.g., UiPath, Automation Anywhere). Fine-tune and optimize pre-trained AI models for specific use cases with a focus on scalability, accuracy, and performance . Collaborate with cross-functional teams including Product, Data Engineering, DevOps, and Business Stakeholders. Stay up to date with emerging AI trends and technologies and apply them to solve real-world problems. Build and maintain high-quality documentation and testing procedures for AI solutions. Required Skills and Qualifications: 6+years of proven experience in AI development and implementation. Strong hands-on experience with: LLMs (e.g., GPT, BERT, LLaMA) ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn NLP techniques like text classification, entity recognition, summarization RPA tools and their integration with AI Experience in designing and deploying AI-powered automation solutions . Deep understanding of model fine-tuning , prompt engineering, and inference optimization. Proficiency in programming languages such as Python (must-have), and optionally Java or C++. Strong problem-solving, communication, and cross-functional collaboration skills. Regards Pravallika

Job Summary: We are seeking a highly skilled and innovative Data Scientist to join our team and drive data-centric initiatives by leveraging AI/ML models , Big Data technologies , and cloud platforms like AWS . The ideal candidate will be proficient in Python , experienced in designing end-to-end machine learning pipelines, and comfortable working with large-scale data systems. Key Responsibilities: Design, develop, and deploy machine learning models and AI-based solutions for business problems. Build robust ETL pipelines to process structured and unstructured data using tools like PySpark , Airflow , or Glue . Work with AWS cloud services (e.g., S3, Lambda, SageMaker, Redshift, EMR) to build scalable data science solutions. Perform exploratory data analysis (EDA) and statistical modeling to uncover actionable insights. Collaborate with data engineers, product managers, and stakeholders to identify use cases and deliver impactful data-driven solutions. Optimize model performance and ensure model explainability, fairness, and reproducibility. Maintain and improve existing data science solutions through MLOps practices (e.g., model monitoring, retraining, CI/CD for ML). Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field. 3+ years of experience in data science or machine learning roles. Strong programming skills in Python and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch . Show more Show less

Position: AI Intern Location: On-site – Noida Duration: 6 months Stipend: INR 15000 per month Open positions: 2 About the Role: We’re looking for an enthusiastic and curious AI Intern to join our team and support real-world applications of artificial intelligence and machine learning. You’ll work on practical tasks like model training, data preprocessing, and automation — all under the guidance of experienced engineers. This is a hands-on learning opportunity designed for someone who wants to explore AI beyond textbooks and build something meaningful. Key Responsibilities: Assist in data collection, cleaning, labeling, and preparation for model training Support basic model development or improvement (e.g., regression, classification, recommendation) Help integrate ML models with applications through simple APIs or scripts Run tests and evaluations to track model performance and suggest improvements Document workflows, results, and observations clearly Stay updated with relevant AI/ML trends and tools Ideal Candidate Should Have: Currently pursuing/completed a degree in Computer Science, Engineering, Mathematics, or a related field Basic understanding of Python and libraries like Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch Familiarity with concepts like data preprocessing, supervised learning, or NLP Logical thinking, attention to detail, and a willingness to learn Good communication skills and ability to work in a team What You’ll Gain: Real-world experience with production-level AI workflows Mentorship from experienced developers and data scientists Exposure to tools like Git, Jupyter, cloud platforms (if applicable) Opportunity to contribute to live projects or POCs Internship certificate and possible full-time opportunity based on performance To Apply: Apply on the job post listed on LinkedIn. Show more Show less

Position: AI/ML Engineer (VFX Workflow & Infrastructure) Location: Hyderabad, India Role Overview The AI/ML Engineer will spearhead the development and integration of artificial intelligence and machine learning solutions into our VFX production pipeline. You’ll work closely with pipeline developers, production managers, and creative teams to reimagine workflows, automate repetitive tasks, and push the boundaries of innovation in photorealistic rendering, stylized animation, and other CGI processes. This role combines deep technical expertise with a strong understanding of the demands of a fast-paced VFX/animation studio. Key Responsibilities AI Strategy & Roadmap: Develop and maintain a strategic plan for implementing AI/ML across the VFX pipeline—covering data wrangling, rendering, asset management, animation, and post-production. Identify new approaches to innovate current workflows to increase efficiency and cut down on time. Algorithm & Model Development: Research, design, and implement ML models (e.g., computer vision, generative models, style transfer) that improve artist efficiency, production speed, enhance image quality, or enable new creative possibilities. Optimize models for performance on local GPU/CPU clusters or cloud-based infrastructures. Pipeline Integration & Automation: Collaborate with pipeline engineers to seamlessly integrate AI agents or tools into existing software stacks (e.g., Maya, Houdini, Nuke), ensuring minimal disruption to artists’ workflows. Develop automated solutions for tasks like rotoscoping, clean-up, crowd simulation, environment generation, or facial capture/animation. Infrastructure & Tooling: Architect and maintain robust data pipelines, ensuring the secure collection and organization of high-quality datasets for training AI models. Evaluate and deploy containerization/MLOps tools (Docker, Kubernetes, MLflow, etc.) for scalable model training, inference, and monitoring. Performance Optimization: Profile model performance, memory usage, and render times; implement optimizations in frameworks such as TensorFlow, PyTorch, or custom GPU pipelines. Work with DevOps/IT teams to configure and manage dedicated GPU farms or cloud compute resources. Research & Development: Stay updated with state-of-the-art ML/DL techniques, particularly in generative AI, computer vision, and real-time rendering. Introduce emerging methods (e.g., stable diffusion, large language models, neural rendering) to innovate new production techniques. Documentation & Reporting: Create clear technical documentation for AI solutions, ensuring maintainability and scalability. Present progress, insights, and ROI to executive leadership, project stakeholders, and cross-functional teams. Qualifications & Skills Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. A PhD is a bonus but not mandatory. 5+ years of professional experience in applied machine learning or data science, with at least 2 years in a lead/managerial role. Previous experience in VFX, animation, gaming, or related entertainment industries is a bonus. Programming: Expert-level Python (C++ is a plus). ML Frameworks: Deep understanding of TensorFlow, PyTorch, scikit-learn, or similar libraries. Computer Vision & Generative Models: Familiarity with CNNs, GANs, autoencoders, stable diffusion, or neural radiance fields. Pipeline Tools: Experience with integration in VFX software (Maya, Houdini, Nuke) and plugin APIs.[Optional] DevOps & MLOps: Comfortable with containerization (Docker), orchestration (Kubernetes), CI/CD, and cloud platforms (AWS, Azure, GCP). Proven track record of translating production challenges into AI/ML solutions that deliver measurable efficiency gains or cost savings. Experience with model optimization (quantization, pruning) and GPU/CPU performance tuning. Collaboration: Excellent communication to bridge technical and creative teams, explaining complex concepts in clear, accessible language. Leadership: Ability to mentor junior engineers and foster a culture of experimentation and continuous learning. Agility: Adapts quickly to evolving project needs, production pipelines, and new AI techniques. A genuine interest in cinema, animation, or gaming—a plus if you have prior knowledge of the Baahubali IP or similar large-scale IPs. Creativity in applying AI to artistic challenges, from photorealistic digital humans to stylized animated sequences. What We Offer Impactful Role: Shape the future of VFX and animation filmmaking and leave a lasting mark on flagship studio projects. Career Growth: Lead a growing AI team, collaborate with top-tier VFX artists, and gain exposure to cutting-edge tech. Competitive Compensation: Salary, benefits, and potential for performance-based bonuses. Innovative Environment: Access to advanced hardware, robust R&D budget, and the opportunity to experiment with emerging AI trends. Show more Show less

Greetings from TCS. TCS is Hiring For AI Engineer Experience: 9-14 years Relevant Experience: 9-14 years WORK Location: PAN India Job Description- Must Have 9- 14 years of IT experience Strong programming skills in Python Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning. Expertise in data analysis and visualization to extract insights from large datasets and transmit them virtually. Good knowledge on data mining, statistical methods, data wrangling, and visualization tools like Power BI, Tableau and matplotlib. Hands on skills in Data Manipulation Language. Expertise in various machine learning frameworks - TensorFlow, Scikit-Learn and PyTorch. Good to Have - Gen AI Certification Experience in Containers (Docker), Kubernetes, Kafka (or other messaging platform), Apache Camel, RabbitMQ, Active MQ, Storage / RDBMS and No-SQL databases etc.. Show more Show less

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Software Engineer II - AI/ML Engineer The EA Digital Platform (EADP) group is the core powering the global EA ecosystem. We provide the foundation for all of EA’s incredible games and player experiences with high-level platforms like Cloud, Commerce, Data and AI, Gameplay Services, Identity and Social. By providing reusable capabilities that game teams can easily integrate into their work, we let them focus on making some of the best games in the world and creating meaningful relationships with our players. We’re behind the curtain, making it all work together. Come power the future of play with us. The Challenge Ahead We are looking for developers who want to work on a large-scale distributed data system that empowers EA Games to personalize player experience and engagement. Responsibilities You will help with designing, implementing and optimizing the infrastructure for AI model training and deployment platform You will help with integrating AI capabilities into existing software systems and applications You will develop tools and systems to monitor the performance of the platform in real-time, analyzing key metrics, and proactively identify and address any issues or opportunities for improvement. You will participate in code reviews to maintain code quality and ensure best practices You will help with feature and operation enhancement for platform under senior guidance You will help with improving the stability and observability of the platform Qualifications Bachelor's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or related field. 3+ years of experience with software development and model development Experience with a programming language such as Go, Java or Scala Experience with scripting languages such as bash, awk, python Experience with Scikit-Learn, Pandas, Matplotlib 3+ years of experience with Deep Learning frameworks like PyTorch, TensorFlow, CUDA Hands-on experience of any ML Platform (Sagemaker, Azure ML, GCP Vertex AI) Experience with cloud services and modern data technologies Experience with data streaming and processing systems About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. Show more Show less

Job Title "Applied Data Scientist at Poiro, based out of Bengaluru - On-site Role" Company Details The best way to predict the future is to invent it. And the best way to invent the future is to get the best minds to work on an idea whose time has come. Poiro (poiro.ai) builds AI systems and agents to supercharge marketing workflows and bring brands closer to consumers. Poiro’s AI systems can be trained on both structured and unstructured marketing data for a brand - from social media content and e-commerce marketplace data to 1st-party customer data - to build a comprehensive knowledge representation of a brand and its category. On top of that, Poiro’s AI agents seamlessly perform data analytics & data science workflows to generate actionable insights and guide marketing execution. Leading brands are using Poiro to - ● Identify content whitespaces, through analysis of social content across their category, and generate highly engaging organic & ad content ● Get tailored creator recommendations that maximize ROI for a particular product and content brief ● Comprehensively audit a creator's on & off-platform behavior to safeguard themselves from commercial and reputation risks And for many more use cases! Poiro is a subsidiary of Evam Labs (www.evamlabs.ai) - a Singapore headquartered holding company with offices in Bangalore and San Jose, building the next generation of high impact AI powered Enterprise Solutions. From Asia, for the World. Evam Labs was founded by ex-founders, academics and investors with over a decade of experience in building data & AI products and scaling companies from 0 to IPO. The founders are IIT/IIM/CMU alumni and have cumulatively raised over $500M+, invested in 30+ startups and hold 20+ patents. The rest of the Evam team comprises alumni of IITs, IIMs, CMU, IISc, NUS with rich experience across multiple industries. Job Roles & Responsibilities - Develop and implement data-driven models using Python, TensorFlow, Large Language Models (LLM), and Scikit-learn to enhance content monetization for creators. - Collaborate with cross-functional teams to analyze and interpret large datasets using NumPy, Pandas, and PySpark. - Design and optimize machine learning algorithms and solutions to improve user engagement and revenue potential. - Explore and integrate AI technologies to support and automate creator monetization pathways. - Monitor model performance and iteratively refine based on business and technical feedback. - Stay updated with the latest advancements in AI and data science to apply innovative solutions at Poiro. Cultural Expectations - Collaborate openly with team members to enhance AI-driven creator content tools - Embrace innovation, continuously exploring and adapting to cutting-edge AI technologies - Respect diverse ideas, fostering a creative and inclusive workplace - Display a proactive mindset in problem-solving and process improvements - Communicate clearly and effectively, contributing to a positive team dynamic - Uphold accountability, meeting project deadlines with precision and reliability Hiring Process Profile Shortlisting Theory/problem-solving and coding/hands-on Resume/experience-based discussion Cultural fit with founders Show more Show less