We are a Japanese medical device manufacturing company with a factory in Surat, an R&D office in Pune, and a sales office in Mumbai. Currently, we are looking for interns who are passionate about AI in medical imaging to join our Life Science team from June or July at our Pune R&D office. Through our medical imaging techniques, we contribute to improving people's health. Job Responsibilities Solve Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems Solve challenging problems using scalable 1D signal processing, machine learning, and deep learning approaches. In charge of developing state-of-the-art machine learning/deep learning algorithms for medical datasets Communicate highly technical results and methods concisely and clearly Collaborate with researchers in Japan to understand requirement as well request data. Requirement Master's degree in computer science or related engineering fields from Tier-1/Tier-2 college 1+ years of experience with programming language/s Python or C++, Pandas 1+ years of experience of working with deep learning framework, i.e. Pytorch or Tensorflow Well acquainted with classical time series problems-algorithms, NLP, Computer vision etc. Demonstrated experience with machine learning/deep learning models. Candidates should be able to read and implement research papers from top conferences. Develop IP (patents) and publish papers. Proficiency in Windows, Linux, dockers, PPT, and Git commands are highly required. Preferred skills Master/Ph.D. in relevant field from tier-1 colleges Experience working with time-series, text, and sequential datasets in real world settings. Proven track record of research or industry experience on Time series problems, NLP, tabular datasets. Well acquainted with machine learning libraries such as pandas, scikit-learn etc. Experience programming in Azure or GCP or other cloud service. Publications in top-tier conferences will be a plus. Working location: Remote or Pune office AWIFS office (Co-working space) Elpro City Square Mall, MG Rd, Chinchwad Gaon, Chinchwad, Pimpri-Chinchwad, Pune, Maharashtra 41103 Working time 9:00-18:00 (1 hour break) Show more Show less

Role : Data Scientist Experience : 1 to 4 Years Work Mode : WFO / Hybrid /Remote if applicable Immediate Joiners Preferred Required Skills & Qualification : An ideal candidate will have experience, as we are building an AI-powered workforce intelligence platform that helps businesses optimize talent strategies, enhance decision making, and drive operational efficiency. Our software leverages cutting-edge AI, NLP, and data science to extract meaningful insights from vast amounts of structured and unstructured workforce data. As part of our new AI team, you will have the opportunity to work on real-world AI applications, contribute to innovative NLP solutions, and gain hands on experience in building AI-driven products from the ground up. Required Skills & Qualification Strong experience in Python programming 1-3 years of experience in Data Science/NLP (Freshers with strong NLP projects are welcome). Proficiency in Python, PyTorch, Scikit-learn, and NLP libraries (NLTK, SpaCy, Hugging Face). Basic knowledge of cloud platforms (AWS, GCP, or Azure). Experience with SQL for data manipulation and analysis. Assist in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikit- learn, and Transformer models (BERT, GPT, etc.). Familiarity with MLOps tools like Airflow, MLflow, or similar. Experience with Big Data processing (Spark, Pandas, or Dask). Help deploy AI/ML solutions on AWS, GCP, or Azure. Collaborate with engineers to integrate AI models into production systems. Expertise in using SQL and Python to clean, preprocess, and analyze large datasets. Learn & Innovate Stay updated with the latest advancements in NLP, AI, and ML frameworks. Strong analytical and problem-solving skills. Willingness to learn, experiment, and take ownership in a fast-paced startup environment. Nice To Have Requirements For The Candidate Desire to grow within the company Team player and Quicker learner Performance-driven Strong networking and outreach skills Exploring aptitude & killer attitude Ability to communicate and collaborate with the team at ease. Drive to get the results and not let anything get in your way. Critical and analytical thinking skills, with a keen attention to detail. Demonstrate ownership and strive for excellence in everything you do. Demonstrate a high level of curiosity and keep abreast of the latest technologies & tools Ability to pick up new software easily and represent yourself peers and co-ordinate during meetings with Customers. What We Offer We offer a market-leading salary along with a comprehensive benefits package to support your well-being. Enjoy a hybrid or remote work setup that prioritizes work-life balance and personal well being. We invest in your career through continuous learning and internal growth opportunities. Be part of a dynamic, inclusive, and vibrant workplace where your contributions are recognized and rewarded. We believe in straightforward policies, open communication, and a supportive work environment where everyone thrives. (ref:hirist.tech) Show more Show less

Location : Ahmedabad Experience : 4-6 years Title : Data Scientist Job Description Primary Responsibilities : Analyze large and complex datasets to identify trends, patterns, and insights. Develop and implement machine learning models for prediction, classification, and clustering tasks using Python libraries like scikit-learn, TensorFlow, or PyTorch. Perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Design and implement data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to communicate insights effectively. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Build and deploy scalable data pipelines using Python and related tools. Stay up-to-date with the latest advancements in data science, machine learning, and Python libraries. Communicate complex data insights and findings to both technical and non-technical audiences. What You'll Bring Proven experience as a Data Scientist or similar role. Strong programming skills in Python, with experience in relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn). Solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques. Experience with data visualization using Python libraries (e.g., Matplotlib, Seaborn, Plotly). Ability to work with large datasets and perform data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills. Excellent communication and presentation abilities. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data science services. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of database technologies (SQL and NoSQL). Experience with deploying machine learning models into production. (ref:hirist.tech) Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

About Akira AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence, consultative practices and focus on building technology agnostic customer solutions helping organizations realize business value through data. We have grown over 3 times in the past 2 years across business, headcount and number of clients we serve once we started focusing on growing up. AKIRA is a growth engine, where we provide great opportunities to all our team members to extract as much learning and satisfaction for the work they deliver. We will double ourselves in the coming 6-9 months and want to be a great place to work. Job Title : AI/ML Engineer (Data Scientist) Location : Bangalore Job Description We are an innovative technology company committed to driving business transformation through AI and Machine Learning solutions. We specialize in solving complex business challenges by leveraging cutting-edge AI/ML technologies, delivering scalable, reliable, and maintainable solutions for our clients. We are looking for a skilled AI/ML Engineer to join our dynamic team and play a crucial role in building production-grade AI/ML pipelines and solutions. Responsibilities As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI/ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world : Design, Develop, and Deploy AI/ML Models : Address complex business challenges through AI and ML solutions, ensuring production-grade deployments Build Scalable AI/ML Pipelines : Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI/ML models Collaboration with Cross-functional Teams : Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI/ML solutions Optimize AI/ML Models in Production : Ensure that deployed models are reliable, scalable, and continuously optimized for high performance in production environments Develop APIs and Microservices : Build APIs or microservices to integrate AI/ML models into business solutions, making them usable across different platforms Implement MLOps Practices : Optimize workflows using CI/CD pipelines, automated retraining of models, version control, and monitoring Apply State-of-the-art AI/ML Techniques : Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutions Ensure Ethical AI Practices : Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI/ML models Stay Up-to-date with Industry Trends : Continuously explore and implement the latest AI/ML techniques, tools, and best practices Assist in Documentation & Best Practices : Help create and maintain standards, workflows, and documentation for data technology and AI/ML projects Required Skills & Qualifications Strong Expertise in AI/ML Frameworks : Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying models Proficiency in Programming Languages : Strong command of Python or R, including libraries/tools for data science and machine learning Experience with Cloud-based AI/ML Services : Hands-on experience with Microsoft Azure and Databricks MLOps Experience : Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle management Domain-Specific AI Expertise : Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniques Excellent Problem-Solving Skills : Ability to identify and address technical challenges with innovative and efficient solutions Effective Communication Skills : Strong ability to convey complex technical concepts to both technical and non-technical audiences Attention to Detail : Ability to handle and execute highly specialized projects with a focus on quality Desired Skills & Qualifications Familiarity with Distributed Computing : Knowledge of Apache Spark and scalable training techniques for large datasets Experience with GenAI : Hands-on experience in developing enterprise-level Gen AI applications and models for business use cases Knowledge of Data Privacy & Security Standards : Understanding of ethical AI principles and ensuring compliance with relevant privacy and security standards Interpersonal Skills : Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partners (ref:hirist.tech) Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 10+ years' experience in technology roles. Must have a minimum of 5 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

About Accellor Careers 2025 We believe that constant innovation is key to staying relevant and competitive. We exist to guide innovative companies like yours throughout the transformation journey and beyond, making your organization future-proof and future-ready. Our work spans the breadth of your enterprise — from customers to employees and operations. We simplify and optimize internal and external processes and strengthen your business potential. We don’t use a cookie-cutter approach. Before we offer solutions, we actively listen to your questions and concerns. We conscientiously evaluate your current environment, processes, and challenges to ensure we provide you with the right mix of solutions and services. We are uniquely focused on delivering rapid business growth through services and technology solutions that evolve how our clients interact with their customers, employees and partners. We leverage best of breed Mobile, Machine Learning, and Cloud platforms to deliver results. Fast. Candidates Also Search: Software Engineer Jobs Accellor Careers 2025 Details Company Name Accellor Job Role Data & AI Engineer (Trainee) Job Type Full Time Job Location Hyderabad Education BE/ B.Tech Career Level 0 – 1 Years Salary Not Mentioned Company Website www.accellor.com Job Description For Accellor Careers 2025 Candidates Also Search: Fresher Jobs The Trainee Data & AI Engineer will work closely with our data science and engineering teams to develop and deploy AI models that can simulate human intelligence processes. This role is ideal for individuals who are passionate about AI and machine learning and are eager to gain hands-on experience. Key Responsibilities Assist in designing and developing AI models and algorithms from scratch. Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction Manage the data flow and infrastructure for effective AI deployment. Collaborate across teams to align AI initiatives with organizational goals. Stay current with AI trends and suggest improvements to existing systems and workflow Candidates Also Search: BE/ B.Tech Jobs Requirements Degree in Computer Science, Engineering, or a related field (2023, 2024 & 2025 pass outs only) Basic understanding of machine learning, deep learning, NLP, and computer vision. Familiarity with programming languages such as Python, Java, and R. Knowledge of AI frameworks such as TensorFlow or PyTorch is advantageous. Knowledge on databases and SQL Strong problem-solving skills and ability to work in a team environment. Accellor Careers 2025 Application Process DOUBLE CLICK TO APPLY ONLINE ! We wish you the best of luck in your Accellor Careers 2025 . May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work. Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled Senior AIML Engineer who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As a Senior AI/ML Engineer, the candidate will be responsible for developing AI business case, solution design and collaborating with other senior leaders, stakeholders, and customers to ensure alignment, integration of AI/ML capabilities with mentoring and leading the Data Science resources for contact analytics area. The Ideal Candidate will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities: Lead Artificial Intelligence (AI) Engineer Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies like Generative AI, Large Language Models, RAG, Reinforcement learning, Agentic AI Communicating analytics model behavior/results to Stakeholders Carrying out technical risk analysis and reliability assessments Mentor, Guide the team of scientists, data analysts, and business stakeholders to design and deploy AI solutions Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption Take a leadership role in the data science community of experts Evaluate and implement best practices in AI/ML, data mining, and analytics Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions Required Qualifications Bachelor’s degree in computer science, Computer Engineering, Data Science, Information Technology, or related field 8+ years of work experience with at least one of the following languages: Python, Java, and R 4+ years of experience in high-level architecture design and solution development for large-scale AI/ML systems Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP Experience and knowledge of Large Language Models, RAG, Transformers Comprehensive knowledge of modern data science and product/web analytics tools and tehcniques including python and associated data science ecosystem, machine learning, Azure Machine Learning etc. Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments Knowledge of Cloud platform supporting AI Implementation like Azure ML Studio Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps Proven track record in industry use cases utilizing deep and machine learning techniques Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Proven expertise in predictive analytics, machine learning, deep learning architecture, Large Language Models, RAG, and text analytics with NLP Proven exceptional communication skills to articulate technical solutions to both technical and non-technical audiences Proven strategic thinking in systems capacity planning, hardware and software updates, and migration At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. Show more Show less

We are seeking highly motivated and technically skilled interns to join our R&D team. This internship will focus on the design and development of real-time object follow-up & detection systems integrated with many platforms/applications, drones, leveraging AI, machine learning, and embedded hardware technologies Selected Intern’s Day‑to‑day Responsibilities Include Assisting in the development of object‑detection algorithms using Python, OpenCV, and TensorFlow or PyTorch, including implementation with techniques like YOLO and Haar cascades. Integrating object‑tracking modules such as KCF, CSRT, or DeepSort into drone control systems for real‑time applications and testing detection pipelines. Designing, programming, and testing embedded systems using platforms like Arduino, Raspberry Pi, ESP8266, LoRa, and ATmega microcontrollers, working with peripherals such as stepper/servo motors, LCDs, keypads, USB, and Wi‑Fi modules. Developing and debugging code in C, C++, Embedded C++, and Python to ensure real-time hardware interaction and system responsiveness. Collaborating on PCB design and hardware prototyping to integrate custom interfaces and sensors into the system, conducting component layout and assembly. Participating in system-level integration and testing of AI-enabled surveillance or drone-based solutions, evaluating performance in real-world conditions. Documenting design processes, coding workflows, test results, and contributing to technical reports and user manuals to support transparency and reproducibility. About Company: RST Ecoenergy Private Limited is an innovative startup specializing in the manufacturing of high-quality LED Lights and solar products, Defence-Tech, along with electronics PCB designing and development. RST focuses on providing innovative and efficient Lighting Solutions for various sectors. RST specially manufactures some special lights for defence, Inflatable Tower Light, Remote Area Portable Lights, IR Illuminator, Pneumatic Tower Light,and Motorised Revolving Search Light for Watch Tower and Marine. We're proud to be an ISO 9001:2015 certified, MSME ZED unit, and recognized as a startup by the Government of India and UP. Our products are sold across India. Our commitment to excellence is reflected in our partnerships with leading companies. The entire range of products is made in India with high quality and ensures compliance with international quality standards Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: More details below: Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Minimum Qualifications: Bachelor’s degree in engineering, Computer Science, or related field and 10+ years of Systems Engineering or related work experience. OR Master’s degree in engineering, Computer Science, or related field and 9+ years of Systems Engineering or related work experience. Requirements: Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, KV caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Hands-on experience in C/C++ programming, Design Patterns and OS concepts. Excellent analytical and debugging skills. Exposure to shell scripts, python scripts, understanding of Linux/Windows systems and automation scripts/environment. Good communication skills, presentation skills and should manage his/her tasks independently. Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3073180 Show more Show less

We are looking for a talented AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions that solve complex problems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and deploy AI models and algorithms that enhance our products and services. Key Responsibilities: AI Model Development: Design, develop, and deploy AI models and algorithms, including machine learning, deep learning, and natural language processing (NLP) models. Data Processing: Collect, clean, and preprocess data for training and testing AI models. Algorithm Optimization: Optimize and fine-tune models for performance, accuracy, and scalability. Integration: Integrate AI solutions into existing systems and applications. Research: Stay up-to-date with the latest AI research and technologies, and apply them to solve real-world problems. Collaboration: Work with data scientists, engineers, product managers, and other stakeholders to understand requirements and deliver AI solutions that meet business needs. Documentation: Document the AI models, processes, and methodologies used in the development lifecycle. Testing and Validation: Implement and conduct rigorous testing and validation of AI models to ensure their robustness and reliability. Maintenance: Monitor and maintain deployed AI models, ensuring they continue to perform as expected over time. Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: Proven experience in developing and deploying AI models and algorithms. Programming: Proficiency in programming languages such as Python, R, Java, or C++. Libraries and Frameworks: Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and others. Data Handling: Strong understanding of data structures, data modeling, and data processing techniques. Mathematics: Solid foundation in mathematics, including statistics, linear algebra, and calculus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong written and verbal communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. Teamwork: Ability to work effectively in a collaborative team environment. Preferred Skills and Qualifications: Experience with Cloud Platforms: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models. Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, or Apache Flink. NLP and Computer Vision: Experience in developing NLP and computer vision applications. Version Control: Proficiency with version control systems like Git. DevOps: Understanding of DevOps practices for continuous integration and deployment (CI/CD) of AI models. Industry Knowledge: Experience in applying AI in specific industries such as healthcare, finance, retail, or manufacturing. Show more Show less

Job Title Data Scientist (AI for Computer Vision) Job Description We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions. Your role: Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications Create and refine AI algorithms for pre- and post-processing of images and videos, focusing on data from various imaging modalities Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling. Demonstrate expertise in image processing, object detection, segmentation, and classification. Proficient in Python programming Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras Experienced with version control systems (e.g., Git) and software development practices Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall) Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications. You're the right fit if: Bachelor’s or master’s Degree: In computer science, AI, Data Science, Machine Learning, or a related field Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications Technical Skills: Familiarity with computer vision techniques and fine-tuning of models Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models. Publications and Contributions: Strong publication record or contributions to open-source AI projects. How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here. Show more Show less

Summary Position Summary Job title: AI & Generative AI - Senior Consultant About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage ,implement & support risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. The Team Internal Audit As part of Digital Internal Audit team, you will be part of our USI Internal Audit practice and will be responsible for scaling digital capabilities for our IA clients. Responsibilities will include helping our clients adopt digital through various stages of their Internal Audit lifecycle, from planning till reporting. We help organizations enhance their digital footprint in the Internal Audit space by adopting a digital approach. Through digital, Internal Audit groups can not only perform its traditional duties better, but can broaden its mandate and sphere of influence to provide actionable insights to management through the anticipation of both risks and opportunities. Work you’ll do The key job responsibilities will be to: Analyze client requirements, perform gap analysis, design and develop digital solutions using data analytics tools and technologies to solve client needs Design, build, and implement custom AI and Generative AI solutions tailored to meet specific business needs Utilize advanced machine learning techniques to develop/train AI models and fine-tune Gen-AI models. Continuously monitor and improve the performance of AI models to ensure they meet the desired performance metrics Deploy solution across various cloud and on-prem computing platforms Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Provide technical expertise and thought leadership in the field of AI/Generative AI to guide clients in adopting AI-driven solutions. Stay up to date with the latest advancements in AI and machine learning technologies to incorporate cutting-edge solutions into projects. Required Skills Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques. Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications. Familiarity with Gen AI application design and architecture Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics) In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions. Expertise in handling large multi-modal datasets and applying data preprocessing techniques to ensure data quality and relevance. Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes Strong knowledge of programming languages like Python and SQL Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.) Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI) Experience with frameworks such as TensorFlow, PyTorch and Keras Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes Preferred Skills Certification in Cloud (AWS/ Azure / GCP) Certification in AI/ML or Data Analytics Qualification B.Tech/B.E. and/or MBA Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304565 Show more Show less

Summary Position Summary Job title: AI & Generative AI - Consultant About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage ,implement & support risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and Robotic Process Automation (RPA) to solve Deloitte’s clients‘ most complex issues. Working in Risk and Financial Advisory at Deloitte US-India offices has the power to redefine your ambitions. The Team Internal Audit As part of Digital Internal Audit team, you will be part of our USI Internal Audit practice and will be responsible for scaling digital capabilities for our IA clients. Responsibilities will include helping our clients adopt digital through various stages of their Internal Audit lifecycle, from planning till reporting. We help organizations enhance their digital footprint in the Internal Audit space by adopting a digital approach. Through digital, Internal Audit groups can not only perform its traditional duties better, but can broaden its mandate and sphere of influence to provide actionable insights to management through the anticipation of both risks and opportunities. Work you’ll do The key job responsibilities will be to: Analyze client requirements, perform gap analysis, design and develop digital solutions using data analytics tools and technologies to solve client needs Design, build, and implement custom AI and Generative AI solutions tailored to meet specific business needs Utilize advanced machine learning techniques to develop/train AI models and fine-tune Gen-AI models. Continuously monitor and improve the performance of AI models to ensure they meet the desired performance metrics Deploy solution across various cloud and on-prem computing platforms Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Provide technical expertise and thought leadership in the field of AI/Generative AI to guide clients in adopting AI-driven solutions. Stay up to date with the latest advancements in AI and machine learning technologies to incorporate cutting-edge solutions into projects. Required Skills Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques. Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications. Familiarity with Gen AI application design and architecture Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics) In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions. Expertise in handling large multi-modal datasets and applying data preprocessing techniques to ensure data quality and relevance. Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes Strong knowledge of programming languages like Python and SQL Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.) Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI) Experience with frameworks such as TensorFlow, PyTorch and Keras Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes Preferred Skills Certification in Cloud (AWS/ Azure / GCP) Certification in AI/ML or Data Analytics Qualification B.Tech/B.E. and/or MBA Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304561 Show more Show less

Who we are: Welcome to Archipelago, where we're redefining the landscape of commercial property insurance with our AI-powered data network. We believe in the power of accurate information to drive meaningful business decisions and offer solutions to generate accurate information as easily and efficiently as possible. By connecting brokers, owners, and insurers, we empower our customers to navigate the complexities of the property insurance and risk management processes with confidence. Archipelago was founded in 2018 and serves many of the world’s largest property brokers and their clients, representing over 500 of the worlds largest and most dynamic commercial property portfolios to improve their data and better represent their risks. Archipelago has achieved Series B funding from industry-leading investment partners including Scale, Canaan Partners, Ignition Partners, Prologis Ventures, Stone Point Capital, and Zigg Capital. Join us at Archipelago and be part of a team dedicated to transforming the commercial property insurance industry. We're seeking individuals with a passion for innovation, a commitment to excellence, and a drive to further elevate and empower our customers. If you're ready to make a meaningful impact and be part of a dynamic, forward-thinking company, we invite you to explore our job opportunities and join us on our journey to keep data accurate and workflows seamless. Note: Preferred candidates to be located in Noida, India. You will be required to schedule a portion of your working hours to coincide with our New York-based team, specifically from 9:00 AM to 12:00 PM Eastern Standard Time. Who you are: Archipelago is seeking a Senior Machine Learning Engineer to join our growing labs team to work on Gen AI systems. We are looking for an engineer who is comfortable with working with full stack development. From building models that run in an extraction pipeline to UIs that test and evaluate the results of experiments. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people. Responsibilities : Designing and developing machine learning and deep learning systems Building RAG pipelines with LLMs Building Agentic AI applications Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback Implementing appropriate ML algorithms Orchestration of long running jobs for data extraction Building UIs to test & evaluate results of ML experiments Translate research papers into high-quality, production-ready code Ship code to production frequently Coach and mentor more junior engineers What Success Looks like in 12 months: Built multiple use-cases that are powered by Agentic AI Built models that implement pattern recognition and data extraction Design and implemented a framework for back testing the results of ML experiments You are part of Archipelago’s India based AI team Qualifications: 4+ years experience as a Machine Learning Engineer or similar role Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex) Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost) Knowledge of how to deploy and maintain ML services in a production environment Experience in designing and deploying feature engineering pipelines in production Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Bonus Points: Experience building data ingestion pipelines Experience with vector databases (e.g. qdrant, Pinecone) Familiarity with orchestration frameworks like Luigi or Flyte Familiarity with gradio, streamlit or Dash GOlang and JavaScript is a plus Experience building applications for the insurance industry Benefits: We offer excellent benefits regardless of where you are in your career. Providing our employees the means to lead healthy, balanced lives results in the best possible work performance. *All benefits are subject to change at management’s discretion. Show more Show less

Position Details Job Title: Chief Technology Officer (CTO) Location: Remote, Remote Openings: 1 Salary Range Description: The Opportunity: Passion for Innovation! Were a Silicon Valley-based company with offices in Noida. We find bright startups, invest in these companies, help them establish competent product engineering teams, and apply tools and methods for effective technology and program management. You are being interviewed as a candidate to join our team and help many of our ventures or specifically hired for one. Learn more at Instant Systems. Role Overview We are seeking a visionary Chief Technology Officer (CTO) to lead the development and execution of AI-driven educational technology solutions at our top private educational organization based in the UAE with a 45-year history of operating multiple premier international schools, accredited by British Schools Overseas. The ideal candidate will have strong expertise in AI, Machine Learning, and EdTech product development, with a proven track record of leading technology teams and driving innovation in the education domain. What Youll Do Define and execute the AI and technology roadmap in alignment with business objectives. Drive AI-based personalization in learning experiences through intelligent tutoring systems and adaptive learning models. Lead and scale the technology team, hiring and mentoring AI engineers, data scientists, and software developers. Oversee AI-powered content generation, ensuring automated lesson plans and assessments are aligned with curriculum standards. Ensure seamless AI integration with Learning Management Systems (LMS), Student Information Systems (SIS), and assessment tools. Spearhead the adoption of AI-driven analytics for student performance prediction, teacher evaluations, and institutional efficiency. Collaborate with education leaders, curriculum designers, and policymakers to ensure AI-driven solutions enhance pedagogy and student engagement. Work closely with the C-suite, investors, and board members to communicate EdTech vision, strategy, and impact. Oversee end-to-end product development, ensuring seamless integration of AI/ML solutions. Ensure compliance with data security, privacy, and ethical AI standards. Develop and optimize scalable architecture and AI frameworks for production deployment. Stay ahead of emerging AI trends and regulatory policies in education technology, ensuring ethical and responsible AI deployment. Who You Are: 812 years of experience in AI, Machine Learning, and Large-Scale EdTech Product Development. Proven track record as a CTO, VP of Engineering, or AI Architect in AI-driven EdTech companies, universities, or online learning platforms. Strong software development background (Python, Cloud Computing, Scalable Systems). Experience in EdTech, SaaS, or AI-driven product development is preferred. Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, NLP, Reinforcement Learning, Computer Vision). Deep understanding of AI-driven adaptive learning and automated content generation. Strong experience in integrating AI into Learning Management Systems (LMS) and Student Information Systems (SIS). Experience in cloud-based AI solutions (AWS, Azure, GCP) with scalable deployment architectures. Expertise in AI-based EdTech applications, such as chatbots, voice assistants, and intelligent content recommendation engines. Exceptional leadership, stakeholder management, and strategic decision-making skills. Deep knowledge of ethical AI practices, compliance standards, and data privacy regulations in education. Familiarity with predictive modeling techniques, especially for student performance, teacher assessments, and retention analytics. More About Instant Systems Inc.: Joining Instant Systems Means Becoming Part Of a Dynamic Team Where Your Ideas Are Valued, And Your Contributions Make a Real Impact. Here's What You Can Expect From Life At Instant Systems You'll collaborate with talented individuals on innovative projects that push technological boundaries. We prioritize your career growth with mentorship, training, and access to cutting-edge tools. Enjoy flexibility with remote work options for better work-life balance. We embrace diversity, ensuring every voice is heard and respected in our inclusive workplace. Equal Employment Opportunity Statements: The policy of Instant Systems is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression, or veteran status. Additionally, Instant Systems is committed to being an Equal Employment Opportunity (EEO) employer and offers opportunities to all job seekers, including individuals with disabilities. If you need reasonable accommodation to assist with your job search or application for employment, email us at careers@instantsys.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for an RLHF (Reinforcement Learning with Human Feedback) Expert . Job Description: Job Title: RLHF (Reinforcement Learning with Human Feedback) Expert Job Type: Full-time Job Location: Remote Work Schedule: Remote Responsibilities: Maxonic, a growing AI firm, is looking for an energetic and committed individual with a passion to push the boundaries of AI and machine learning for its India office. This is an unparalleled, high-impact opportunity to work on cutting-edge alignment research while helping to drive Maxonic forward in the field of applied AI. Dive deep into the world of AI safety and large language models. Work with some of the most advanced RLHF methodologies and help design systems that learn from and align with human intent. Become part of a forward-looking AI team and help bring responsible, human-centered AI to life. Responsibilities: - Design, develop, and optimize Reinforcement Learning with Human Feedback (RLHF) systems for fine-tuning large language models and other generative AI models. - Build and refine reward models using human preference data (rankings, comparisons, scoring). - Collaborate with human annotators, data scientists, and product stakeholders to design effective feedback collection workflows. - Stay up to date with state-of-the-art RL algorithms such as PPO, DPO, and preference-based learning, and apply them in real-world scenarios. - Lead or contribute to projects that integrate RLHF pipelines into broader AI systems and production deployments. Desired Skills and Experience - Undergraduate Degree, preferably in computer science, machine learning, or a related field. - Strong analytical and problem-solving skills, with a curious mindset and eagerness to experiment. - Excellent communication and interpersonal skills. - Demonstrated passion for applied AI, reinforcement learning, and how human-centered systems can add real-world value. - Strong ability to reason through complexity and design robust, safe, and scalable systems. - Comfort in working independently as well as collaboratively in a cross-functional team. Technical Qualifications: The following skills are valued, but not essential: - Experience with RLHF techniques, such as supervised fine-tuning (SFT), reward modeling, and policy optimization using PPO or related algorithms. - Proficiency in Python and familiarity with ML libraries like PyTorch, Hugging Face Transformers, TRL, and RL libraries such as Ray RLlib or Stable Baselines. - Exposure to large language model training or fine-tuning workflows. - Familiarity with prompt engineering, natural language processing, or human-in-the-loop systems. - Understanding of MLOps tools, distributed training, and experiment tracking platforms. - Experience with human data labeling, annotation platforms, or quality control strategies is a plus. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Anjali Soni (anjali@maxonic.com / (408) 400-2334) for more details. Show more Show less

Experience: Minimum 10+ years in AI/ML or data science, with at least 5 years in a leadership role. Proven experience in banking or financial services is highly preferred. Hands-on with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and tools (Python, SQL, Spark). Experience in Azure ML tools: Databricks etc. Experience with end-to-end model lifecycle management and MLOps. Minimum Qualification: Masters Degree/PhD in Computer Science, Econometrics, Statistics, or related fields.

Okta is seeking a highly skilled Full-Stack Engineer with deep expertise in AWS Bedrock, generative AI, and modern software development to join our fast-moving team at the intersection of developer experience, machine learning, and enterprise software. As part of the Okta Business Technology (BT) team, you will build cutting-edge tools that make AI development intuitive, collaborative, and scalable. If you're passionate about building next-generation AI applications and empowering developers through innovative platforms, this is the role for youJob Duties and Responsibilities Design and develop full-stack applications that integrate seamlessly with Amazon Bedrock AI agents. Build scalable, production-grade AI/ML solutions using AWS Bedrock and the AWS Agent Development Kit. Implement back-end services and APIs to interact with foundation models for tasks such as automated sourcing, content generation, and prompt orchestration. Create intuitive and performant front-end interfaces using Angular that connect with GenAI capabilities. Ensure seamless integration of LLMs and foundation models into the broader application architecture. Explore and rapidly prototype with the latest LLMs and GenAI tools to iterate on new capabilities and features. Build sophisticated AI workflows using knowledge bases, guardrails, and prompt chaining/flows. Deploy and maintain enterprise-ready GenAI applications at scale. Collaborate with business analysts to understand customer needs and use cases, and work with the team to design, develop POCs to test, implement & support solutions Foster strong relationships with teammates, customers, and vendors to facilitate effective communication and collaboration throughout the project lifecycle Perform in-depth analysis of requirements, ensuring compatibility and adherence to established standards and best practicesRequired Skills: 7+ years of robust experience with hands-on development & design experience 3+ years of experience in one or more of the following areasDeep Learning, LLMs, NLP, Speech, Conversational AI, AI Infrastructure, Fine-tuning, and optimizations of PyTorch models. Software development experience in languages like Python (must have) and one from the optional (Go, Rust, and C/C++). Experience with at least one LLM such as Llama, GPT, Claude, Falcon, Gemini, etc. Expertise in AWS Bedrock and the AWS Agent Development Kit is mandatory Hands-on experience with Python libraries including boto3, NumPy, Pandas, TensorFlow or PyTorch, and Hugging Face Transformers Solid understanding of the AWS ecosystem (e.g., CloudWatch, Step Functions, Kinesis, Lambda) Familiarity with full software development lifecycle, including version control, CI/CD, code reviews, automated testing, and production monitoring Knowledge about the ERP, HR technology and Legal business processes is an advantageEducation and Certifications Bachelors degree in Computer Science or a related field, or equivalent practical experience AWS certifications (e.g., AWS Certified Solutions Architect, Machine Learning Specialty) are a plus Experience working with large-scale generative AI or LLM-based applications Knowledge of secure application development and data privacy practices in AI/ML workloads"This role requires in-person onboarding and travel to our Bengaluru, IN office during the first week of employment."

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are a dynamic and innovative team of Data Engineers, Data Architects, and Data Scientists based in Bangalore, India. Our mission is to harness the power of data to provide actionable insights that empower executives to make informed, data-driven decisions. By analyzing and interpreting complex datasets, we enable the organization to understand the health of the business and identify opportunities for growth and improvement. Your Impact We are seeking a highly experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in machine learning models, artificial intelligence (AI), generative AI, and data visualization. Proficiency in Tableau and other visualization tools is essential. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Key Responsibilities Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning ModelsSupervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI TechniquesNatural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization ToolsTableau, Power BI, Matplotlib, Seaborn, Plotly, etc. DatabasesSnowflake, Teradata, SQL, NoSQL databases. Programming LanguagesPython (essential), R, SQL. Python LibrariesTensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data ProcessingETL processes, data warehousing, data lakes. Cloud PlatformsAWS, Azure, Google Cloud Platform. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Minimum of [X] years of experience as a Data Scientist or in a similar role. Proven track record in developing and deploying machine learning models and AI solutions. Strong expertise in data visualization tools, particularly Tableau. Extensive experience with Snowflake and Teradata databases. Excellent problem-solving skills and the ability to work independently and collaboratively. Exceptional communication skills with the ability to convey complex information clearly. Preferred Qualifications (Provide up to five (5) bullet points these can include soft skills) Excellent communication and collaboration skills to work effectively in cross-functional teams. Ability to translate business requirements into technical solutions. Strong problem-solving skills and the ability to work with complex datasets. Experience in statistical analysis and machine learning techniques. Understanding of business domains such as sales, financials, marketing, and telemetry.

Job Overview: We are seeking a talented and versatile professional with expertise in UX Design, Digital Marketing, Full Stack Development, and Mobile Application Development. The ideal candidate will also have experience in AI and ERP automation, contributing to the development and enhancement of our digital platforms. Key Responsibilities: UX Design: Conduct user research and create user personas to enhance customer experience. Develop wire frames, prototypes, and design mockups for web and mobile applications. Implement UI/UX best practices to improve usability and engagement. Collaborate with developers to ensure seamless integration of design elements. Digital Marketing: Plan and execute digital marketing campaigns, including SEO, SEM, and social media. Analyse website and campaign performance using Google Analytics and other tools. Optimise content for search engines and user engagement. Develop strategies for lead generation and brand awareness. Mobile Application Development: Develop and maintain mobile applications for iOS and Android platforms. Work with frameworks such as React Native, Flutter, or Swift/Kotlin. Ensure app performance, security, and user experience optimisation. Integrate mobile applications with back-end services and third-party APIs. AI Experience (Preferred): Leverage AI/ML for improving user experience and personalization. Implement chatbots, recommendation systems, and predictive analytics. Work with AI frameworks such as TensorFlow, PyTorch, or OpenAI APIs. ERP System Automation: Develop and automate ERP workflows for seamless business operations. Integrate ERP systems with third-party applications. Optimise processes through robotic process automation (RPA) and AI-driven solutions. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Marketing, Design, or a related field. Strong knowledge of UX/UI principles and tools (Figma, Adobe XD, Sketch). Proficiency in front-end and back-end development. Experience with SEO, digital marketing strategies, and campaign management. Knowledge of AI/ML technologies and ERP automation (preferred). Experience in mobile application development for iOS and Android. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Experience in Agile development methodologies. Hands-on experience with automation tools for ERP systems. Certification in UX, Digital Marketing, AI, Full Stack Development, or Mobile Development. Show more Show less

- Data Scientist -6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. -Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. -Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. -Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. -Familiarity with vector databases and embedding techniques. -Experience deploying models using APIs, Docker, and cloud platforms -Strong analytical, problem-solving, and communication skills. -Experience in ML Ops, Model deployment, Model lifecycle and management

Project description We are looking for an experienced technical developer to work for one of our client from banking industry. Project goal is to maintain and develop solutions focused on digital onboarding platform. Responsibilities As a Python Developer, you will be responsible for designing, developing, and maintaining Python-based applications and services. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet the needs of our business divisions. Your role will involve: Skills Must have Proven experience of more than 4 years as a Python Developer or similar role. Proficiency in Python and its frameworks such as Django or Flask. Strong knowledge of back-end technologies and RESTful APIs. Experience in Pandas, and knowledge of AI/ML libraries like TensorFlow, PyTorch, etc. Experience of working on Kubernetes / OpenShift, Dockers, Cloud Native frameworks. Experience with database technologies such as SQL, NoSQL, and ORM frameworks. Familiarity with version control systems like Git. Familiarity with Linux and Windows Operating Systems. Knowledge of Shell scripting (Bash for Linux and PowerShell for Windows) will be advantageous. Understanding of Agile methodologies and DevOps practices. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. A degree in Computer Science, Engineering, or a related field is preferred. Nice to have Experience in Agile Framework Other Languages EnglishC1 Advanced Seniority Senior

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 15th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less