1862 Keras Jobs - Page 17

Unique World Robotics is looking for a passionate and skilled AI & Machine Learning Trainer to lead impactful education initiatives in Artificial Intelligence. If you're driven by innovation and committed to empowering learners, this role offers a unique opportunity to make a real difference in the world of AI education. Key Responsibilities: Design and deliver comprehensive AI/ML training programs for students and professionals Mentor learners on real-world projects and guide them through practical applications Lead workshops, seminars, and events to promote AI literacy Contribute to curriculum development and content enhancement Stay updated with emerging trends in AI/ML and integrate them into training modules Requirements: Master’s degree with specialization in Artificial Intelligence, or Bachelor’s in Engineering/Technology/Computer Science with relevant AI expertise Minimum 2 years of experience in delivering AI/ML training or mentoring AI-related projects Proficiency in Python and AI/ML tools such as TensorFlow, Keras, scikit-learn, and OpenCV Strong communication, facilitation, and mentoring skills Willingness to deliver training both online and onsite as per project requirements 

Required Qualifications: Bachelor’s degree in computer science, Machine Learning, Data Science, or a related field Total years of experience 5+ years. Healthcare Domain preferred Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 3+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 5+ years of experience developing in a cloud environment (AWS, GCS, Azure) 3+ years of experience with Github, Actions, CI/CD, and source control 4+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions

The Artificial Intelligence (AI) Engineer and Data Scientist position at CIS requires a professional with 2.6 to 6 years of experience and a Bachelor's or Master's degree in computer science, mathematics, or a related field. As a machine learning engineer, you will need to demonstrate proficiency in AI, ML, NLP, LLM, OpenCV, deep learning, generative AI, and computer vision. Additionally, you should possess expertise in TensorFlow and OpenCV for developing and deploying machine learning and computer vision models. Your responsibilities will include designing and developing machine learning algorithms, optimizing existing libraries and frameworks, collaborating with various teams on production systems, and ensuring accurate user recommendations. You will be expected to study data science prototypes, run machine learning tests, and construct optimized data pipelines. Familiarity with server-side deployment and a deep understanding of probability, statistics, and algorithms are essential for this role. The ideal candidate should have impeccable analytical and problem-solving skills, extensive knowledge of machine learning frameworks like Keras or PyTorch, and familiarity with Python, Java, and R. Strong communication, collaboration, time management, and organizational skills are also crucial. A passion for continuous learning, innovative thinking, and a general understanding of building machine learning systems are highly valued. This position is based in Indore, Madhya Pradesh, and requires on-site work. You should be willing to work at various global locations, including the USA, UK, Australia, and the Middle East, with on-site benefits. If you meet the qualifications and are enthusiastic about advancing in the field of artificial intelligence and data science, we encourage you to apply from the specified locations. (Note: The job description provided is a standard summary description. Please refer to the original job description for complete details and requirements.),

Job Title: Data Analytics cum Data Science Trainer Location : South Extension & Preet Vihar, Delhi Job Type : Full-Time/ Part Time | Classroom Training About Us TGC India through it's technical wings Pythontraining.net and Datasciencetraining.co.in is a leading training institute in Delhi, shaping careers in Digital Media, IT, and Emerging Technologies for over 20 years. With state-of-the-art infrastructure and a strong industry connect, we empower students to build successful careers in Data Science, Machine Learning, AI, and more. We are expanding our academic team and looking for a passionate Data Analytics cum Data Science Trainer who can inspire learners and deliver cutting-edge training. Key Responsibilities Deliver classroom training on Data Analytics and Data Science tools and technologies (Python, R, SQL, Power BI, Tableau, Machine Learning, etc.). Teach concepts like data preprocessing, visualization, statistical modeling, and deployment of ML models. Guide students on real-world projects , internships, and portfolio building. Continuously upgrade course content to keep pace with industry trends and tools (including AI & Gen AI apps). Mentor and evaluate students to ensure high success and placement rates. Collaborate with the academic team to create assignments, assessments, and capstone projects. Desired Candidate Profile Education : Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field is preferred but not essential Experience : 2+ years in Data Science/Data Analytics roles or teaching experience. Strong hands-on knowledge of Python , Machine Learning , Pandas , NumPy , Scikit-learn , Power BI/Tableau , and SQL . Knowledge of Deep Learning frameworks (Keras/TensorFlow/PyTorch) is a plus. Excellent communication and presentation skills to deliver training effectively. Passionate about teaching and mentoring students. Why Join TGC India? Opportunity to train on latest tools and technologies including AI & Gen AI apps Work in a modern classroom setup with smart labs and high-tech systems Attractive salary package with incentives based on student success rates Access to continuous learning and certification programs Be a part of Delhi’s top institute for Data Science & Analytics education Perks & Benefits ✅ Competitive Salary ✅ Performance-based incentives ✅ Free access to premium tools & courses for self-learning ✅ Paid leaves and festive holidays ✅ Professional growth opportunities Job Locations South Extension - Delhi Preet Vihar - Delhi Apply Now If you are passionate about teaching and shaping the next generation of Data Scientists, we want to hear from you! Send your CV to info@tgcindia.com or manojk.tgc@gmail.com Whatsapp at 9810031162 (only message) About TGC TGC India is one of Delhi’s most trusted institutes for career training in Data Science, Analytics, Digital Media, Digital Marketing, and more. Join our mission to transform lives through quality education. Job Types: Full-time, Part-time Pay: ₹300,000.00 - ₹450,000.00 per year Expected hours: 16 per week Benefits: Cell phone reimbursement Internet reimbursement Leave encashment Work Location: In person

First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities. Job Identification 1021960 Job Category NPI-HSRT Integration Data Science Posting Date 07/17/2025, 12:17 AM Job Schedule Full time Locations Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN Work Schedule Normal Shift New (PMT)

Location Bengaluru, Karnataka, India Job ID R-231679 Date posted 17/07/2025 Job Title: Senior MLOps Engineer Introduction to role: Are you ready to lead the charge in transforming machine learning operations? As a Senior MLOps Engineer at Alexion, you'll report directly to the IT Director of Insights and Analytics, playing a pivotal role in our IT RDU organization. Your mission? To develop and implement brand new machine learning solutions that propel our business forward. With your expertise, you'll design, build, and deploy production-ready models at scale, ensuring they meet the highest standards. Accountabilities: Lead the development and implementation of MLOps infrastructure and tools for machine learning models. Collaborate with multi-functional teams to identify, prioritize, and solve business problems using machine learning techniques. Design, develop, and implement production-grade machine learning models that meet business requirements. Oversee the training, testing, and validation of machine learning models. Ensure that machine learning models meet high-quality standards, including scalability, maintainability, and performance. Design and implement efficient development environments and processes for ML applications. Coordinate with partners and senior management to communicate updates on the progress of machine learning projects. Develop assets, accelerators, and thought capital for your practice by providing best-in-class frameworks and reusable components. Develop and maintain MLOps pipelines to automate machine learning workflows and integrate them with existing IT systems. Integrate Generative AI models-based solutions within the broader machine learning ecosystem, ensuring they adhere to ethical guidelines and serve intended business purposes. Implement robust monitoring and governance mechanisms for Generative AI models-based solutions to ensure they evolve in alignment with business needs and regulatory standards. Essential Skills/Experience: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. 4+ years of experience in developing and deploying machine learning models in production environments. Hands-on experience building production models with a focus on data science operations including serverless architectures, Kubernetes, Docker/containerization, and model upkeep and maintenance. Familiarity with API-based application architecture and API frameworks. Experience with CICD orchestration frameworks, such as GitHub Actions, Jenkins or Bitbucket pipelines. Deep understanding of software development lifecycle and maintenance. Extensive experience with one or more orchestration tools (e.g., Airflow, Flyte, Kubeflow). Experience working with MLOps tools like experiment tracking, model registry tools, and feature stores (e.g., MLFlow, Sagemaker, Azure). Strong programming skills in Python and experience with libraries such as Tensorflow, Keras, or PyTorch. Proficiency in MLOps standard methodologies, including model training, testing, deployment, and monitoring. Experience with cloud computing platforms, such as AWS, Azure or GCP. Proficient in standard processes within software engineering and agile methodologies. Strong understanding of data structures, algorithms, and machine learning techniques. Excellent communication and collaboration skills with the ability to work in a multi-functional team setting. Ability to work independently and hard-working, with strong problem-solving skills. Excellent communication and collaboration skills with the ability to partner well with business stakeholders. Desirable Skills/Experience: Experience in the pharmaceutical industry or related fields. Advanced degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. Strong understanding of parallelization and asynchronous computation. Strong knowledge of data science techniques and tools, including statistical analysis, data visualization, and SQL. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca's Alexion division, you'll find yourself at the forefront of biomedical science. Our commitment to transparency and ethics drives us to push boundaries and translate complex biology into transformative medicines. With global reach and potent capabilities, we're shaping the future of rare disease treatment. Here, you'll grow in an energizing culture that values innovation and connection. Empowered by tailored development programs, you'll align your growth with our mission to make a difference for underserved patients worldwide. Ready to make an impact? Apply now to join our team! Date Posted 18-Jul-2025 Closing Date 30-Jul-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.

Location Bengaluru, Karnataka, India Job ID R-231692 Date posted 17/07/2025 Job Title: Senior Manager IT, Generative AI Engineer Introduction to role: Are you ready to lead the charge in transforming business challenges into innovative solutions? Play a pivotal role as a Senior Manager in Alexion IT RDU by working with the IT Director of Data Science. Your mission? To lead technically and strategically in crafting and deploying brand new Machine Learning solutions, with a particular emphasis on Generative AI. Your expertise will be key in architecting, scaling, and deploying impactful AI models that drive our business forward. Accountabilities: Lead the development and refinement of Generative AI systems and applications using brand new models to tackle complex business problems. Drive the design, development, and continuous improvement of robust infrastructure and tools for Machine Learning and Generative AI models, ensuring scalability and efficiency. Provide technical mentorship for the full lifecycle development of Generative AI agents, from conceptualization to deployment, ensuring meaningful, reliable, and secure interactions. Architect and lead the integration of pre-trained Generative AI models into custom applications to enable innovative functionalities and enhance existing capabilities. Work with senior engineers to craft interactive systems using Generative AI for dynamic content or decision support, encouraging innovation and standard methodologies. Build and optimize scalable and resilient infrastructure for running Generative AI applications in production, ensuring high performance, cost-efficiency, and reliability. Oversee the implementation of user interfaces or API endpoints for seamless interaction with Generative AI functionalities, ensuring a positive user experience. Design and oversee data pipelines and preprocessing steps for feeding Generative AI models with high-quality data for generation tasks. Define, implement, and monitor the operational health and performance of Generative AI applications in production, driving continuous improvement based on performance metrics. Contribute to the development of assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices. Engage with diverse stakeholders to translate complex business needs into clear technical requirements, gather feedback, and iteratively drive improvements for Generative AI applications. Support the integration of Generative AI models within the Machine Learning ecosystem, ensuring ethical use and business relevance. Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements. Essential Skills/Experience: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field 6+ years of experience in Machine Learning, data science, or software development Strong understanding and practical experience with advanced ML Engineering concepts and tools, including Docker/containerization, orchestration (e.g., Kubernetes), and robust MLOps practices for end-to-end model lifecycle management Demonstrated experience designing, implementing, and optimizing robust CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Bitbucket pipelines for automated ML model deployment and continuous integration Proficiency in Python programming, coupled with deep experience in utilizing and optimizing leading ML libraries such as TensorFlow, Keras, or PyTorch for complex Generative AI applications and research Experience with cloud computing platforms, such as AWS, Azure or GCP Comprehensive understanding of software engineering principles, design patterns, and best practices (e.g., modular design, testing, code review), with proven experience leading or significantly contributing within agile development methodologies Proficient in communication and collaboration, eager for diverse team work, articulate technical concepts to diverse groups, motivate teams to achieve project goals. Proactive and eager to learn with strong analytical and problem-solving skills Desirable Skills/Experience: Experience in the pharmaceutical industry or related fields Master’s or PhD degree in a related field (e.g., Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative subject area) Proven track record of successfully leading and delivering complex, production-grade Generative AI projects from ideation and research to deployment and operationalization When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca's Alexion division, your career journey is intertwined with a mission that truly matters. Our passion drives us to innovate continuously while creating meaningful value. Here you will find an energizing culture where connections are built to explore new ideas. With tailored development programs designed not just for skill enhancement but also for fostering a deep understanding of our patient's journeys. You will be part of a community that celebrates diversity and innovation while making a difference where it truly counts. Ready to make an impact? Apply now to join our team! Date Posted 18-Jul-2025 Closing Date 30-Jul-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.

Location Bengaluru, Karnataka, India Job ID R-231693 Date posted 17/07/2025 Job Title: IT Manager, Generative AI Engineer Introduction to role: Are you ready to lead the charge in revolutionizing AI solutions? As an IT Manager specializing in Generative AI Engineering, you'll be at the forefront of innovation within Alexion's IT RDU organization. Reporting to the IT Director of Data Science, your mission will be to develop and implement cutting-edge Machine Learning solutions, with a keen focus on Generative AI. Your contributions will be pivotal in scaling and deploying AI models that tackle our most pressing business challenges. Are you up for the challenge? Accountabilities: Lead the development and refinement of Generative AI systems and applications using state-of-the-art models to solve complex business problems. Contribute to the development and maintenance of MLOps infrastructure and tools for Machine Learning and Generative AI models. Participate in the full lifecycle development of Generative AI agents, ensuring meaningful interaction with users or environments. Support the integration of pre-trained Generative AI models into custom applications for new functionalities. Collaborate with senior engineers to design interactive systems utilizing Generative AI for dynamic content or decision support. Contribute to building and maintaining infrastructure for running Generative AI applications. Aid in implementing user interfaces or API endpoints for seamless interaction with Generative AI functionalities. Assist with data pipelines and preprocessing steps for feeding Generative AI models with appropriate data. Help monitor the operational health of Generative AI applications in production, identifying areas for improvement or optimization. Contribute to developing assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices. Engage with stakeholders to gather feedback and iteratively improve Generative AI applications' features and capabilities. Support the integration of Generative AI models within the Machine Learning ecosystem, ensuring ethical use and business relevance. Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements. Essential Skills/Experience: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field 3+ years of experience in Machine Learning, data science, or software development Familiarity with ML Engineering concepts and tools, including Docker/containerization, and basic model upkeep Exposure to CICD practices and familiarity with tools such as GitHub Actions, Jenkins, or Bitbucket pipelines Experience with Python and familiarity with ML libraries such as Tensorflow, Keras, or PyTorch Experience with cloud computing platforms, such as AWS, Azure or GCP Understanding of software engineering principles and exposure to agile methodologies Good communication and collaboration skills, with enthusiasm for working in a cross-functional team environment Proactive and eager to learn with strong analytical and problem-solving skills Desirable Skills/Experience: Experience in the pharmaceutical industry or related fields Master's degree in a related field or ongoing education towards an advanced degree Strong knowledge of AI techniques and tools, including NLP, optimization, and deep learning When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll find an environment where innovation thrives. Our commitment to rare diseases means your work will have a profound impact on patients' lives. With a rapidly expanding portfolio, you'll enjoy the entrepreneurial spirit of a leading biotech combined with the resources of a global biopharma. Here, your career is not just a path but a journey filled with opportunities for growth and connection. Ready to make a difference? Apply now and join us on this exciting journey! Date Posted 18-Jul-2025 Closing Date 30-Jul-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.

Location Bengaluru, Karnataka, India Job ID R-231691 Date posted 17/07/2025 Job Title: Senior Manager IT, Generative AI Engineer Introduction to role: Are you ready to lead the charge in transforming business challenges into innovative solutions? Play a pivotal role as a Senior Manager in Alexion IT RDU by working with the IT Director of Data Science. Your mission? To lead technically and strategically in crafting and deploying brand new Machine Learning solutions, with a particular emphasis on Generative AI. Your expertise will be key in architecting, scaling, and deploying impactful AI models that drive our business forward. Accountabilities: Lead the development and refinement of Generative AI systems and applications using brand new models to tackle complex business problems. Drive the design, development, and continuous improvement of robust infrastructure and tools for Machine Learning and Generative AI models, ensuring scalability and efficiency. Provide technical mentorship for the full lifecycle development of Generative AI agents, from conceptualization to deployment, ensuring meaningful, reliable, and secure interactions. Architect and lead the integration of pre-trained Generative AI models into custom applications to enable innovative functionalities and enhance existing capabilities. Work with senior engineers to craft interactive systems using Generative AI for dynamic content or decision support, encouraging innovation and standard methodologies. Build and optimize scalable and resilient infrastructure for running Generative AI applications in production, ensuring high performance, cost-efficiency, and reliability. Oversee the implementation of user interfaces or API endpoints for seamless interaction with Generative AI functionalities, ensuring a positive user experience. Design and oversee data pipelines and preprocessing steps for feeding Generative AI models with high-quality data for generation tasks. Define, implement, and monitor the operational health and performance of Generative AI applications in production, driving continuous improvement based on performance metrics. Contribute to the development of assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices. Engage with diverse stakeholders to translate complex business needs into clear technical requirements, gather feedback, and iteratively drive improvements for Generative AI applications. Support the integration of Generative AI models within the Machine Learning ecosystem, ensuring ethical use and business relevance. Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements. Essential Skills/Experience: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field 6+ years of experience in Machine Learning, data science, or software development Strong understanding and practical experience with advanced ML Engineering concepts and tools, including Docker/containerization, orchestration (e.g., Kubernetes), and robust MLOps practices for end-to-end model lifecycle management Demonstrated experience designing, implementing, and optimizing robust CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Bitbucket pipelines for automated ML model deployment and continuous integration Proficiency in Python programming, coupled with deep experience in utilizing and optimizing leading ML libraries such as TensorFlow, Keras, or PyTorch for complex Generative AI applications and research Experience with cloud computing platforms, such as AWS, Azure or GCP Comprehensive understanding of software engineering principles, design patterns, and best practices (e.g., modular design, testing, code review), with proven experience leading or significantly contributing within agile development methodologies Proficient in communication and collaboration, eager for diverse team work, articulate technical concepts to diverse groups, motivate teams to achieve project goals. Proactive and eager to learn with strong analytical and problem-solving skills Desirable Skills/Experience: Experience in the pharmaceutical industry or related fields Master’s or PhD degree in a related field (e.g., Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative subject area) Proven track record of successfully leading and delivering complex, production-grade Generative AI projects from ideation and research to deployment and operationalization When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca's Alexion division, your career journey is intertwined with a mission that truly matters. Our passion drives us to innovate continuously while creating meaningful value. Here you will find an energizing culture where connections are built to explore new ideas. With tailored development programs designed not just for skill enhancement but also for fostering a deep understanding of our patient's journeys. You will be part of a community that celebrates diversity and innovation while making a difference where it truly counts. Ready to make an impact? Apply now to join our team! Date Posted 18-Jul-2025 Closing Date 30-Jul-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.

At PwC, our software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet clients" evolving needs. Combining technical experience with creative thinking, you will deliver innovative software products and solutions. As a software engineer at PwC, your primary focus will be on developing innovative software solutions that drive digital transformation and enhance business performance. Your knowledge will be utilized to design, code, and test cutting-edge applications that revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to grow your personal brand and technical expertise. Anticipating the needs of your teams and clients, you will deliver high-quality results. Embracing ambiguity, you will seek clarity, ask questions, and view challenges as opportunities for growth. Key Skills and Requirements: - Respond effectively to diverse perspectives, needs, and feelings of others. - Utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employ critical thinking to break down complex concepts. - Understand project objectives and your role's broader impact on the overall strategy. - Develop a deeper understanding of the business context and its evolving nature. - Utilize reflection to enhance self-awareness, strengths, and address development areas. - Interpret data to derive insights and recommendations. - Uphold professional and technical standards, including the firm's code of conduct and independence requirements. As a Senior Associate in the Business Services Support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This global team operates across PwC's Acceleration Center (AC) locations, including India. The team is dedicated to leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration Center. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth through innovative products and platforms. Scope of Responsibility: - Collaborate with cross-functional teams to understand business requirements and apply GenAI technologies. - Design, develop, and maintain software solutions for GenAI projects. - Implement event-driven architectures for real-time data processing and analysis. - Utilize containerization technologies for efficient deployment and scalability. - Develop and manage data lakes for storing large volumes of structured and unstructured data. - Use Python as the primary programming language for software development. - Stay updated on advancements in GenAI technologies and recommend innovative solutions. - Document software engineering processes, methodologies, and best practices. Strategic & Technical Orientation: - Proficiency in Python and software engineering best practices for AI systems is essential. - Hands-on experience in developing and deploying AI models in production environments. - Experience in designing, developing, and implementing generative AI models and algorithms. - Conduct research to stay current with advancements in generative AI, machine learning, and deep learning. - Optimize generative AI models for improved performance and scalability. - Develop and maintain AI pipelines, including data preprocessing, model training, and evaluation. Range of Impact: - Deep understanding of state-of-the-art AI architectures. - Proficient in Python and machine learning libraries like TensorFlow, PyTorch, or Keras. - Strong knowledge of data structures, algorithms, and software engineering principles. - Effective communication skills to convey technical concepts to diverse audiences. - Proactive mindset to work independently and collaboratively in a dynamic environment. - Familiarity with cloud-based platforms such as Azure or AWS.,

As a Python Developer specializing in Machine Learning and Artificial Intelligence with 2 to 3 years of experience, you will be responsible for developing, training, and deploying machine learning models. Your expertise in Python and associated data science libraries will be crucial in collaborating with our data science and engineering teams to create intelligent solutions that address real-world challenges. You will have the opportunity to work on AI-driven applications, including predictive modeling, natural language processing, and computer vision, based on project requirements. Your key responsibilities will include developing and maintaining machine learning models using Python, working on AI-driven applications, collaborating with cross-functional teams to translate business requirements into ML solutions, preprocessing and transforming data for training and evaluation, as well as performing model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. It will be essential for you to write modular, efficient, and testable code, document processes, models, and experiments clearly for team use and future reference, and stay updated with the latest trends and advancements in AI and machine learning. To excel in this role, you should have 2 to 3 years of hands-on experience with Python programming, a solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning), experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn, exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch, a good understanding of data structures and algorithms, and experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills are essential for this position. Preferred qualifications include a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field, experience with deploying ML models using Flask, FastAPI, or Docker, knowledge of MLOps and model lifecycle management, as well as an understanding of NLP or Computer Vision. If you are a motivated Python Developer with a passion for Machine Learning and AI, and possess the required skills and qualifications, we invite you to join our team and contribute to building innovative solutions that make a positive impact.,

As a Senior Cloud AI/ML Architect, you will be responsible for collaborating with AWS Account Managers, solutions architects, and customers to define and scope AI/ML use cases. Your role will involve understanding customer business problems and assisting in implementing AI solutions, including generative AI. You will also be required to develop and deliver compelling technical demonstrations for business and technical leaders, design and architect state-of-the-art AI/ML solutions, and extract and share best practices, reference architectures, and patterns for reuse within the company. Additionally, you will prototype and validate innovative AI solutions across diverse industry verticals. About the Team: You will be part of a cross-functional team at Aivar that helps AWS customers accelerate the use of AI/ML, Generative AI, and realize transformational business opportunities. The team comprises ML scientists, engineers, architects, and strategists who work with customers step-by-step to build bespoke solutions. Preferred Technical Qualifications: - 10+ years of design, implementation, or consulting experience in applications and infrastructure - Experience using managed AI/ML services and solutions - Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services - Strong experience in applying machine learning models for business application - Strong programming skills in Python, TypeScript, Java, or related language - Strong understanding of AI/ML frameworks - Demonstrated track record of learning emerging AI/ML and Generative AI technologies - Experience working across varied business environments - Experience conveying complex subject matter to customers and stakeholders in written and verbal formats - Deep understanding of generative AI technologies and large language models - Portfolio showcasing innovative AI/ML solutions Preferred Soft Skills: - Collaboration Skills: Ability to work effectively with diverse teams - Exceptional Communication: Skilled at conveying complex AI/ML concepts to technical and non-technical stakeholders - Innovative Problem-Solving: Ability to tackle unique challenges with innovative AI/ML solutions - Adaptability and Continuous Learning: Capacity to learn and apply emerging AI/ML technologies - Leadership and Mentorship: Experience mentoring team members and fostering a culture of innovation and excellence Certifications: - AWS Certified Solutions Architect Associate - AWS Certified Solutions Architect Professional - AWS Certified Developer Associate (optional) - AWS Certified Machine Learning Specialty - AWS Certified Data Analytics Specialty - AWS Certified AI Practitioner (optional but valuable) - AWS Certified Database Specialty (optional but valuable) - AWS Certified Security Specialty (optional but valuable) This is a full-time position with benefits including health insurance and paid sick time. The work location is in person.,

As a software developer with 5-7 years of experience, particularly with large-scale data systems, you should possess a B.Tech / B.E or ME/ M.Tech / MCA degree. Your expertise should extend to machine learning concepts such as regression, classification, and clustering. Proficiency in Python (or R, Java, C++) is essential, along with hands-on experience in ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras. A strong foundation in data structures, algorithms, statistics, and DBMS is crucial for this role. Your communication skills, both verbal and written, should cater to technical and non-technical audiences. Additionally, familiarity with data tools like Pandas, NumPy, and SQL, along with soft skills like analytical thinking, problem-solving, adaptability, and teamwork, will be beneficial. Desirable skills for this position include exposure to advanced ML areas such as deep learning, NLP, computer vision, or reinforcement learning. Knowledge of cloud platforms like AWS, Azure, or GCP is advantageous. Familiarity with version control using Git and an understanding of MLOps and pipeline concepts are considered a bonus.,

As an AI Research Scientist, your role will involve developing the overarching technical vision for AI systems that cater to both current and future business needs. You will be responsible for architecting end-to-end AI applications, ensuring seamless integration with legacy systems, enterprise data platforms, and microservices. Collaborating closely with business analysts and domain experts, you will translate business objectives into technical requirements and AI-driven solutions. Working in partnership with product management, you will design agile project roadmaps that align technical strategy with market needs. Additionally, you will coordinate with data engineering teams to guarantee smooth data flows, quality, and governance across various data sources. Your responsibilities will also include leading the design of reference architectures, roadmaps, and best practices for AI applications. You will evaluate emerging technologies and methodologies, recommending innovations that can be integrated into the organizational strategy. Identifying and defining system components such as data ingestion pipelines, model training environments, CI/CD frameworks, and monitoring systems will be crucial aspects of your role. Leveraging containerization (Docker, Kubernetes) and cloud services, you will streamline the deployment and scaling of AI systems. Implementing robust versioning, rollback, and monitoring mechanisms to ensure system stability, reliability, and performance will also be part of your duties. Project management will be a key component of your role, overseeing the planning, execution, and delivery of AI and ML applications within budget and timeline constraints. You will be responsible for the entire lifecycle of AI application development, from conceptualization and design to development, testing, deployment, and post-production optimization. Enforcing security best practices throughout each phase of development, with a focus on data privacy, user security, and risk mitigation, will be essential. Furthermore, providing mentorship to engineering teams and fostering a culture of continuous learning will play a significant role in your responsibilities. In terms of mandatory technical and functional skills, you should possess a strong background in working with or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, along with robust knowledge of machine learning libraries such as TensorFlow, PyTorch, and Keras, is required. You should also have proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker), orchestration frameworks (Kubernetes), and related DevOps tools like Jenkins and GitLab CI/CD are necessary. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments is essential. Additionally, proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) and expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture are vital for this role. Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) is also required to support robust inter-system communications. Preferred technical and functional skills include experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI's API integrations, and other domain-specific tools is advantageous. Experience in large-scale deployment of ML projects, along with a good understanding of DevOps/MLOps/LLM Ops and training and fine-tuning of Large Language Models (SLMs) like PALM2, GPT4, LLAMA, etc., is beneficial. Key behavioral attributes for this role include the ability to mentor junior developers, take ownership of project deliverables, contribute to risk mitigation, and understand business objectives and functions to support data needs. If you have a Bachelor's or Master's degree in Computer Science, certifications in cloud technologies (AWS, Azure, GCP), and TOGAF certification (good to have), along with 11 to 14 years of relevant work experience, this role might be the perfect fit for you.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

About the job: Key responsibilities: 1. Apply supervised, unsupervised, and reinforcement learning techniques 2. Build and run neural networks, including CNNs, RNNs, and Transformers 3. Train, evaluate, and optimize machine learning models 4. Use TensorFlow, PyTorch, and Keras for deep learning applications Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,00,000 - 4,00,000 /year Experience: 1 year(s) Deadline: 2025-08-16 23:59:59 Skills required: TensorFlow, PyTorch and Keras Other Requirements: 1. Ability to translate business problems into AI solutions 2. Can design AI systems from scratch, not just tweak pre-built models 3. Knows how to benchmark models and decide when to optimize vs. retrain About Company: We are a global event tech company. We provide various hardware and software solutions for events. We are a 7-year-old organization, currently operating in India, Dubai, and Thailand. We mainly work in virtual reality, augmented reality, photo booths, and video booths.

At EG, we are dedicated to developing industry-specific software solutions for our customers, allowing them to focus on their profession while we handle the technology aspect. Our team, consisting of industry peers and backed by the stability and innovation of EG, is committed to tackling significant challenges such as resource efficiency and sustainability. With a global workforce of over 3000 employees, including a team of 850+ based in Mangaluru, India, we prioritize a people-first culture that encourages innovation, collaboration, and continuous learning. Join our COE Team, working at the forefront of AI innovation, where we shape AI-powered digital transformation across various business domains. As a Senior Data Scientist with at least 7 years of experience, you will have the opportunity to be part of a core team designing and delivering end-to-end AI solutions that directly impact products across multiple industries. You will have the autonomy to bring your innovations to life while collaborating with exceptional minds in the field. Responsibilities: - Design scalable AI architectures including Traditional AI, GenAI, and Agentic AI - Build AI use cases deployed across hybrid environments such as on-premises infrastructure, Azure, and AWS cloud ecosystems - Enable business units to adopt and maintain AI solutions - Conduct feasibility studies and define technology roadmaps for AI initiatives - Support integration of AI accelerators into existing business applications Your role will involve engaging with product/business teams to translate requirements into AI/ML solutions, leading feasibility analysis, designing solution architectures, and developing, training, and evaluating AI/ML models for various business use cases. You will collaborate with cross-functional teams to deploy end-to-end data pipelines and AI solutions using cloud platforms like Azure and AWS. Additionally, you will evangelize AI best practices, drive adoption of emerging AI technologies, and provide mentorship and training to upskill Business Unit teams and junior data scientists. Required Skills: - Bachelor's in Computer Science and Engineering or related field; advanced degree preferred - 7+ years of experience in AI/ML with expertise in GenAI, LLMs, RAG, and related technologies - Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Keras), NLP, and applied AI - Full-stack engineering exposure with backend in Python and experience in building scalable applications using Azure and AWS - Understanding of OOP/OOD, data structures, design patterns, and Agile/DevSecOps methodologies - Experience with visualization tools like Power BI, Streamlit, etc., and excellent interpersonal and communication skills Join us at EG for a professional, innovative environment where you can work on real-world problems and large-scale AI solutions alongside talented colleagues. We offer flexibility, ownership of ideas, extensive opportunities for personal and professional growth, and a strong focus on employee well-being, inclusion, and benefits.,

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Use software design principles to develop production ready code. Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. Optimize and fine-tune machine learning models for performance and accuracy. Deploy machine learning models into production environments and monitor their performance. Develop processes and tools to monitor and analyze model performance and data accuracy. Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders. Mentor and provide guidance to junior Machine Learning Engineers. Required Knowledge and Experience: Bachelors degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics 5+ years of industry experience in writing production level, scalable code (e.g. in Python) 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning 4+ years of industry experience with distributed computing frameworks such as Pyspark 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.). 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP 1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock. Experience in building Agentic AI applications. 2+ years of technical leadership leading junior engineers in a product development setting.

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing predictive models, and providing insights that support strategic decision-making across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with programming languages such as Python or R for data analysis.- Familiarity with machine learning frameworks and libraries, including TensorFlow or Scikit-learn.- Knowledge of data visualization tools to effectively communicate insights. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and best practices within the team and across departments.- Mentor junior professionals to enhance their skills and understanding of data science methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data.- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to effectively communicate insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into your projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R.- Knowledge of data visualization techniques and tools. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Lead the AI development team, providing technical guidance and mentorship. Architect and develop scalable AI and machine learning models tailored to business needs. Collaborate with product managers, data engineers, and stakeholders to define AI project requirements. Drive innovation by researching and implementing state-of-the-art AI/ML algorithms and technologies. Oversee end-to-end AI lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring. Ensure AI solutions adhere to best practices in ethics, fairness, and data privacy. Optimize models for performance, scalability, and interpretability. Manage code quality through reviews, testing, and documentation. Stay updated with emerging trends and integrate relevant advances into projects. Coordinate cross-functional teams to integrate AI capabilities into products.

Key Responsibilities: Develop, fine-tune, and deploy large language models (LLMs) and advanced NLP algorithms. Design scalable architectures to integrate LLM capabilities into products and services. Work with unstructured text data: preprocessing, tokenization, embedding, and feature engineering. Optimize model performance, latency, and cost for production environments. Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver AI-powered solutions. Stay abreast of the latest research in LLMs, transformers, and NLP, and apply innovations. Build pipelines for data ingestion, model training, evaluation, and deployment. Ensure ethical use of AI and compliance with data privacy regulations. Mentor junior developers and contribute to code reviews and knowledge sharing.

Unique World Robotics is seeking a passionate and skilled AI & Machine Learning Trainer to lead cutting-edge education initiatives in Artificial Intelligence. This is your chance to empower learners and shape the future of AI-driven innovation and learning. About the Role As an AI & Machine Learning Trainer, you will design and deliver impactful AI and ML training programs for students and professionals. You will mentor learners on real-world projects, lead workshops and seminars, and contribute to the growth of AI literacy and innovation across diverse audiences. Requirements Master’s degree with specialization in Artificial Intelligence, or Bachelor’s in Engineering/Technology/Computer Science with relevant AI expertise Minimum 2 years of experience in delivering AI/ML training or mentoring related projects Strong proficiency in Python and hands-on experience with AI/ML tools and frameworks (such as TensorFlow, Keras, scikit-learn, OpenCV, etc.) Excellent communication, facilitation, and mentoring skills Flexibility to deliver training both online and onsite, based on project requirements What We Offer Attractive salary package Opportunities to work on diverse and high-impact AI education initiatives A dynamic and growth-oriented team environment A meaningful role in advancing AI education and innovation across the country Job Types: Full-time, Permanent Pay: Up to ₹25,000.00 per month Schedule: Day shift Ability to commute/relocate: Kottayam, Kerala: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Preferred) Experience: Teaching: 2 years (Preferred) total work: 2 years (Preferred) Language: English (Required) Malayalam (Required) Hindi (Preferred) Location: Kottayam, Kerala (Preferred) Work Location: In person Expected Start Date: 01/08/2025