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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Data Management & Data Mining Specialist Location: Full-time onsite – Noida Office Shift: India Night Shift (fixed schedule) Are you passionate about transforming raw data into actionable insights that drive business success? We’re seeking a skilled Data Management & Data Mining Specialist to join our vibrant Noida team. This role is crucial for supporting our inside sales and marketing teams by maintaining high-quality data and uncovering trends that power strategic decisions. Important: This is a full-time role based onsite at our Noida office and requires working an India night shift schedule. What You’ll Do Apply advanced data mining techniques to discover patterns and insights Collaborate closely with inside sales and business teams to understand data needs and deliver effective solutions Support marketing and sales campaigns with targeted data insights Clean, preprocess, and validate data sets to ensure accuracy and consistency Design and maintain data models, pipelines, and storage systems Manage data uploads and maintenance on platforms including Outreach and Salesforce Monitor and oversee data workflows on Outreach to ensure smooth sales operations What You Bring Educational Background: Bachelor’s or Master’s degree in any discipline Technical Skills: Experience with ZoomInfo, Salesforce, Zero Bounce, Outreach, LinkedIn, and other relevant data platforms Advanced Microsoft Excel skills; proficient in PowerPoint for data presentations Familiarity with data modeling, data cleaning, and visualization tools is a plus Soft Skills: Strong attention to detail and excellent problem-solving abilities Clear and effective communication skills to collaborate with diverse teams Ability to multitask and meet deadlines in a fast-paced environment Why Join Us? Work onsite with a collaborative team dedicated to excellence Gain exposure to cutting-edge data tools and business processes Play a key role in enabling sales and marketing success through quality data insights Thrive in a dynamic environment with growth opportunities If you are ready for a challenging, full-time night shift role in Noida and meet the requirements above, we encourage you to apply!

About Motadata Motadata is a renowned IT monitoring and management software company that has been transforming how businesses manage their ITOps since its inception. Our vision is to revolutionize the way organizations extract valuable insights from their IT networks. Bootstrapped since inception, Motadata has built up a formidable product suite comprising cutting-edge solutions, empowering enterprises to make informed decisions and optimize their IT infrastructure. As a market leader, we take pride in our ability to collect and analyze data from various sources, in any format, providing a unified view of IT monitoring data. Position Overview: We are seeking a Senior Machine Learning Engineer to join our team, focused on enhancing our AIOps and IT Service Management (ITSM) product through the integration of cutting-edge AI/ML features and functionality. As part of our innovative approach to revolutionizing the IT industry, you will play a pivotal role in leveraging data analysis techniques and advanced machine learning algorithms to drive meaningful insights and optimize our product's performance. With a particular emphasis on end-to-end machine learning lifecycle management and MLOps, you will collaborate with cross-functional teams to develop, deploy, and continuously improve AI-driven solutions tailored to our customers' needs. From semantic search and AI chatbots to root cause analysis based on metrics, logs, and traces, you will have the opportunity to tackle diverse challenges and shape the future of intelligent IT operations. Role & Responsibility: • Lead the end-to-end machine learning lifecycle, understand the business problem statement, convert into ML problem statement, data acquisition, exploration, feature engineering, model selection, training, evaluation, deployment, and monitoring (MLOps). • Should be able to lead the team of ML Engineers to solve the business problem and get it implemented in the product, QA validated and improvise based on the feedback from the customer. • Collaborate with product managers to understand business needs and translate them into technical requirements for AI/ML solutions. • Design, develop, and implement machine learning algorithms and models, including but not limited to statistics, regression, classification, clustering, and transformer-based architectures. • Preprocess and analyze large datasets to extract meaningful insights and prepare data for model training. • Build and optimize machine learning pipelines for model training and inference using relevant frameworks. • Fine-tune existing models and/or train custom models to address specific use cases. • Enhance the accuracy and performance of existing AI/ML models through monitoring, iterative refinement and optimization techniques. Collaborate closely with cross-functional teams to integrate AI/ML features seamlessly into our product, ensuring scalability, reliability, and maintainability. • Document your work clearly and concisely for future reference and knowledge sharing within the team. • Stay ahead of latest developments in machine learning research and technology and evaluate their potential applicability to our product roadmap. Skills and Qualifications: • Bachelor's or higher degree in Computer Science, Engineering, Mathematics, or related field. • Minimum 5+ years of experience as a Machine Learning Engineer or similar role. • Proficiency in data analysis techniques and tools to derive actionable insights from complex datasets. • Solid understanding and practical experience with machine learning algorithms and techniques, including statistics, regression, classification, clustering, and transformer-based models. • Hands-on experience with end-to-end machine learning lifecycle management and MLOps practices. • Proficiency in programming languages such as Python and familiarity with at least one of the following: Java,Golang, .NET, Rust. • Experience with machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow). • Experience with ML.NET and other machine learning frameworks. • Familiarity with natural language processing (NLP) techniques and tools. • Excellent communication and teamwork skills, with the ability to effectively convey complex technical concepts to diverse audiences. • Proven track record of delivering high-quality, scalable machine learning solutions in a production environment.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications: Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128325

Role : AI Engineer. Experience : 3 to 6 years. Work Mode : WFO / Hybrid /Remote if applicable. Immediate Joiners. Job Description 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. 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, Hugging Face). Basic knowledge of cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps tools like Airflow, MLflow, or similar. Experience with Big Data processing (Spark, Pandas, or Dask). Experience with SQL for data manipulation and analysis. Assist in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikitlearn, and Transformer models (BERT,GPT,etc.) Experience with GenAI tech stacks including foundational models (GPT-4, Claude, Gemini), frameworks (LangChain, LlamaIndex), and deployment tools (Hugging Face, AWS Bedrock, Vertex AI, vector DBs like FAISS/Pinecone). 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 wellbeing. 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)

Title : Full stack LLM / Backend engineer Remote About The Company: Web 3.0 is the next wave of technology breakthroughs to revolutionize human society, with key pillars being decentralized finance (DeFi), NFTs, Metaverse, and decentralized autonomous organization (DAO). The space is growing at breakneck speed with enormous growth potential in years to come. M0 is a Generative Ai, blockchain and web3 technology company exploring big ideas in identity, ownership, utility, DeFi, and interoperability to push the crypto, NFT, and Metaverse space forward. We are looking for the best builders, hackers, innovators, entrepreneurs, visionaries & creatives to come design the future together. This isn't a typical job at M0 you will be challenged to bring out the best version of yourself in bringing to life the creative renaissance of Web3. We are seeking driven individuals with a hunger for product ownership and impact and the potential for asymmetrical upside in doing so. If you don't know about Web3 yet - it's all good, you're about to define it. Requirements: • Hands-on experience in developing LLM-based applications for both front-end and back-end development using JavaScript, Typescript, Nest and Next js. • Hands-on experience on design, and optimizing LLM, RAGS, natural language processing (NLP) systems, frameworks, and tools. • Hands-on AI/ML modelling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML both short term and long-term memory-based models. • Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. • Experience in creating and deploying code libraries using functions and classes in Python and JavaScript MERN AI product-focused development. • Comfortable working in the cloud and high-performance computing environments (eg, vector DBs, MLops, AWS/Azure/ GCP, ELK). • Well-versed in software development and code quality best industry practices. • Experience working with Agile Development methodologies. Responsibilities: - Prototypes and do proof of concepts (PoC) in one or all the following areas: LLMS. -Data Analysis and Preprocessing: Collect and preprocess large-scale text corpora to train and fine-tune language models. Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.

Brief Background The Data Scientist is expected to harness large volumes of complex data to generate actionable insights that fuel business strategy and innovation. This role requires expertise in advanced statistical methods, machine learning techniques, and data visualization to discover patterns, forecast outcomes, and support data-driven decision-making across the organization. What the Role needs to Achieve Transforms complex datasets into solutions, leveraging statistical expertise and machine learning to answer crucial business questions. ROLES AND RESPONSIBILITIES Data Acquisition & Preparation : Collect, clean, and preprocess structured and unstructured data from a variety of internal and external sources including databases, APIs, logs, and documents. Exploratory Data Analysis (EDA) : Investigate data sets to identify patterns, anomalies, trends, and correlations that inform hypotheses and model development. Model Development : Design, implement, and fine-tune statistical and machine learning models for tasks such as prediction, classification, segmentation, and recommendation. Model Evaluation & Optimization : Evaluate model performance using appropriate metrics (e.g., accuracy, precision, recall, AUC) and iterate to improve robustness and generalizability. Data Storytelling & Visualization : Translate complex model outputs into intuitive visualizations and business-relevant narratives using tools like Power BI, Tableau, or custom dashboards. Strategic Communication : Present findings and actionable recommendations to stakeholders in a clear and compelling manner, enabling informed decision-making across departments. Cross-functional Collaboration : Work closely with business, product, engineering, and operations teams to understand domain-specific challenges and deliver tailored data-driven solutions. Continuous Learning & Innovation : Stay abreast of the latest developments in data science, AI/ML frameworks, and big data technologies to bring cutting-edge methods into our workflows. ESSENTIAL KNOWLEDGE AND SKILLS REQUIRED Deep proficiency in Python or R, along with fluency in SQL and familiarity with core data manipulation libraries such as NumPy, Pandas, and Scikit-learn. The ability to translate complex data outputs into clear, concise, and visually compelling insights, tailored to suit both technical and non-technical stakeholders. A solid grasp of business fundamentals to connect analytical findings with strategic decision-making. A naturally analytical mindset, with a passion for uncovering insights, solving problems, and discovering meaningful patterns within data. EDUCATIONAL QUALIFICATIONS An advanced degree (Master’s or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, or a closely related field. EXPERIENCE 3+ years of demonstrated experience in data science, showcasing strong command of statistical modeling and machine learning techniques.

Company: Coderz Vision Technology Experience: 2–4 years Location: Chennai 📄 About Us Coderz Vision Technology is a leading IT solutions company specializing in software development, emerging technologies, and AI-driven innovation. Our team is passionate about leveraging the latest advancements in machine learning, deep learning, and AI to create cutting-edge solutions for global clients across industries. 🎯 Role Overview We are looking for a talented AI Engineer with 2–3 years of hands-on experience to join our dynamic team. In this role, you’ll design and implement AI models, build intelligent algorithms, and contribute to research and production-grade AI/ML solutions. 🔑 Key Responsibilities Develop, train, and fine-tune machine learning and deep learning models for computer vision, NLP, predictive analytics, and other AI domains. Implement AI algorithms in Python and deploy them into scalable environments. Work closely with data engineering and software teams to integrate AI models into existing products. Preprocess, clean, and analyze structured and unstructured data for model training. Evaluate model performance and optimize for accuracy, scalability, and performance. Conduct literature reviews to stay updated on AI research trends and innovations. Document processes, present findings, and collaborate with cross-functional teams. ✅ Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 2–3 years of hands-on experience in AI/ML engineering roles. Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with neural networks, NLP, computer vision, and generative AI is a plus. Exposure to cloud platforms (AWS/Azure/GCP) for AI model deployment is a bonus. Excellent problem-solving skills and passion for innovation. 🎯 Why Join Us? Opportunity to work on cutting-edge AI projects with global impact. Collaborative, growth-driven work culture with exposure to diverse technologies. Competitive compensation and performance-based incentives. Continuous learning, training, and career development support. 📧 How to Apply: If you’re interested in joining a forward-thinking team and making a real-world impact with AI, please send your resume and portfolio to hr@coderzvision.com.

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with 157 years of history that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. We’re working hard to support their wellness and health management goals, too. That way, they can enjoy what matters most to them. And that’s anything from running a marathon to helping their grandchildren learn to ride a bike. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds With innovative technology, a strong distribution network and long-standing relationships with some of the world’s largest employers, we are today providing financial security to millions of people globally. Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) With 32 years of operations in the Philippines and 17 years in India, Sun Life Global Solutions, (formerly Asia Service Centres), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. Drawing on our collaborative and inclusive culture, we are reckoned as a ‘Great Place to Work’, ‘Top 100 Best Places to Work for Women’ and stand among the ‘Top 11 Global Business Services Companies’ across India and the Philippines. The technology function at Sun Life Global Solutions is geared towards growing our existing business, deepening our client understanding, managing new age technology systems, and demonstrating thought leadership. We are committed to building greater domain expertise and engineering ability, delivering end to end solutions for our clients, and taking a lead in intelligent automation. Tech services at Sun Life Global Solutions have evolved in areas such as application development and management, Support, Testing, Digital, Data Engineering and Analytics, Infrastructure Services and Project Management. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! What will you do? The role involves creating innovative solutions, guiding development teams, ensuring technical excellence, and driving architectural decisions aligned with company policies. The Solution Designer/Tech Lead will be a key technical advisor, collaborating with onshore teams and leadership to deliver high-impact Data and AI/ML projects. Our engineering career framework helps our engineers to understand the scope, collaborative reach, and levers for impact at every job role and defines the key behaviors and deliverables specific to one’s role and team and plan their career with Sun Life. Key Responsibilities: Design and architect Generative AI solutions leveraging AWS services such as Bedrock, S3, PG Vector, Kendra, and SageMaker. Collaborate closely with developers to implement solutions, providing technical guidance and support throughout the development lifecycle. Lead the resolution of complex technical issues and challenges in AI/ML projects. Conduct thorough solution reviews and ensure adherence to best practices and company standards. Navigate governance processes and obtain necessary approvals for initiatives. Make critical architectural and design decisions aligned with organizational policies and industry best practices. Liaise with onshore technical teams, presenting solutions and providing expert analysis on proposed approaches. Conduct technical sessions and knowledge-sharing workshops on AI/ML technologies and AWS services. Evaluate and integrate emerging technologies and frameworks like LangChain into solution designs. Develop and maintain technical documentation, including architecture diagrams and design specifications. Mentor junior team members and foster a culture of innovation and continuous learning. Collaborate with data scientists and analysts to ensure optimal use of data in AI/ML solutions. Coordinate with clients, data users, and key stakeholders to achieve long-term objectives for data architecture. Stay updated on the latest trends and advancements in AI/ML and cloud and data technologies. Key Experience: Extensive experience (12-15 years) in software development and architecture, with a focus on AI/ML solutions. Deep understanding of AWS services, particularly those related to AI/ML (Bedrock, SageMaker, Kendra, etc.). Proven track record in designing and implementing data, analytics, reporting and/or AI/ML solutions. Strong knowledge of data structures, algorithms, and software design patterns. Expertise in data management, analytics, and reporting tools. Proficiency in at least one programming language commonly used in AI/ML (e.g., Python, Java, Scala). Familiarity with DevOps practices and CI/CD pipelines. Understanding of AI ethics, bias mitigation, and responsible AI principles. Basic understanding of data pipelines and ETL processes, with the ability to design and implement efficient data flows for AI/ML models. Experience in working with diverse data types (structured, unstructured, and semi-structured) and ability to preprocess and transform data for use in generative AI applications. Technical Credentials: AWS, AI/ML Primary Location: Gurgaon Schedule: 12:00 PM to 8:30 PM Job Category: Advanced Analytics Posting End Date: 21/07/2025

What You Need for this Position: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proven experience (1-3 years) in machine learning, data science, or AI roles. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of algorithms, data structures, and software design principles. Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and analytical thinking. Strong communication and collaboration skills. Ability to work methodically and meet deadlines. What You Will Be Doing: Develop and implement machine learning models and algorithms for various applications. Collaborate with cross-functional teams to understand project requirements and deliver AI solutions. Preprocess and analyze large datasets to extract meaningful insights. Design and conduct experiments to evaluate model performance and fine-tune algorithms. Deploy machine learning models to production and ensure scalability and reliability. Stay updated with the latest advancements in AI and machine learning technologies. Document model development processes and maintain comprehensive project documentation. Participate in code reviews and provide constructive feedback to team members. Contribute to the continuous improvement of our AI/ML capabilities and best practices. Top Reasons to Work with Us: Join a fast-paced team of like-minded individuals who share the same passion as you with whom you'll tackle new challenges every day. Work alongside an exceptionally talented and intellectual team, gaining exposure to new concepts and technologies. Enjoy a friendly and high-growth work environment that fosters learning and development. Competitive compensation package based on experience and skill. Job Type: Full-time Pay: ₹500,000.00 - ₹600,000.00 per year Schedule: Day shift Fixed shift Morning shift Experience: total work: 2 years (Required) Work Location: In person

About the Company RADcube – A Stlogics Company is dedicated to innovation in AI & Data. Our mission is to leverage cutting-edge technology to create impactful solutions that drive business success. We foster a collaborative and inclusive culture where creativity and teamwork thrive. About the Role We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Work Location : Hyderabad (hi-tech City). Shift Timings :EST Time Zone Experience : Min 5+yrs Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science. 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes. Proven work with NLP, CNNs, LLMs, and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Required Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. We encourage applications from individuals of all backgrounds and experiences.

Job Title: Data Science Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time role based on performance + Internship Certificate Optimspace.in Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects. 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 application with the subject line "Data Science Intern Application." 📅 Deadline: 16th July 2025 Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Job Title: Machine Learning Intern Company: Innovate Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: AI / Data Science About the Company: Innovate Solutions is a technology-forward company focused on building intelligent, scalable, and data-driven solutions. We work across industries to help organizations implement machine learning, AI, and automation to drive growth and efficiency. Job Summary: We are looking for a motivated and curious Machine Learning Intern to join our AI team. You’ll get hands-on experience with real datasets, model development, and building smart applications that solve real-world problems. Key Responsibilities: Collect, clean, and preprocess data for modeling Build and train machine learning models using Python and ML libraries Work with libraries like Scikit-learn, TensorFlow, Keras, or PyTorch Evaluate and fine-tune model performance Collaborate with data scientists and developers on project tasks Document processes, models, and results clearly Requirements: Pursuing or recently completed a degree in Computer Science, Data Science, or a related field Strong Python programming skills Basic understanding of machine learning algorithms and techniques Familiarity with libraries like pandas, NumPy, and Scikit-learn Knowledge of deep learning concepts is a plus Good problem-solving skills and ability to work remotely Perks & Benefits: ₹25,000/month stipend Internship certificate upon successful completion Real-world ML project experience Mentorship from experienced professionals Flexible remote work environment

Job Title: AI Intern Company: Innovate Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Artificial Intelligence / Machine Learning About the Company: Innovate Solutions is a technology-driven company dedicated to building smart, scalable digital solutions. We specialize in software development, automation, AI, and data science to help businesses leverage the power of emerging technologies. Job Summary: We are seeking an enthusiastic and research-oriented AI Intern to join our remote AI team. You will gain hands-on experience working on artificial intelligence projects that involve machine learning, deep learning, and natural language processing. Key Responsibilities: Assist in building, training, and evaluating AI/ML models Work with datasets to clean, preprocess, and extract features Use libraries like TensorFlow, PyTorch, Scikit-learn, and OpenCV Conduct literature reviews and explore AI-based problem-solving techniques Collaborate with data scientists, developers, and product teams Document project processes, code, and outcomes Requirements: Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Strong understanding of Python and AI/ML libraries Familiarity with concepts in machine learning, deep learning, or NLP Basic experience with data handling using pandas, NumPy, or similar libraries Problem-solving mindset and eagerness to learn Ability to work independently in a remote environment Perks & Benefits: ₹25,000/month stipend Hands-on experience with AI-driven projects Certificate upon successful internship completion Mentorship from experienced AI professionals Flexible and collaborative remote work environment

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 16th July 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.

Job Title : AI/ML Engineer / Junior Data Scientist Location : Bangalore / Pune Experience : 05 Years Employment Type : Full-Time Salary : 5 15 LPA (Based on experience and skillset) About The Role We are looking for a passionate and driven AI/ML Engineer or Junior Data Scientist to join our growing analytics and product team. Youll work closely with senior data scientists, engineers, and business stakeholders to build scalable AI/ML solutions, extract insights from complex datasets, and develop models that improve real-world decision-making. Whether you're a fresher with solid projects or a professional with up to 5 years of experience, if you're enthusiastic about AI/ML and data science, we want to hear from you! Key Responsibilities Collect, clean, preprocess, and analyze structured and unstructured data from multiple sources. Design, implement, and evaluate machine learning models for classification, regression, clustering, NLP, or recommendation systems. Collaborate with data engineers to deploy models in production (using Python, APIs, or cloud services like AWS/GCP). Visualize results and present actionable insights through dashboards, reports, and presentations. Conduct experiments, hypothesis testing, and A/B tests to optimize models and business outcomes. ? Develop scripts and reusable tools for automation and scalability of ML pipelines. Stay updated with the latest research papers, open-source tools, and trends in AI/ML. Required Skills & Qualifications Bachelors/Masters degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Strong Python programming skills with experience in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Proficiency in data analysis, visualization (using tools like Matplotlib, Seaborn, Plotly, or Power BI/Tableau). Solid understanding of ML algorithms (linear regression, decision trees, random forests, SVMs, neural networks). Experience with SQL and working with large datasets. Exposure to cloud platforms (AWS, GCP, or Azure) and APIs is a plus. Knowledge of NLP, computer vision, or generative AI models is desirable. Strong problem-solving skills, attention to detail, and ability to work in agile teams. Good To Have (Bonus Points) Experience in end-to-end ML model lifecycle (development to deployment). Experience with MLOps tools like MLflow, Docker, or CI/CD. Participation in Kaggle competitions or open-source contributions. Certifications in Data Science, AI/ML, or Cloud Platforms. What We Offer A dynamic and collaborative work environment. Opportunities to work on cutting-edge AI projects. Competitive salary and growth path. Training, mentorship, and access to tools and resources. Flexible work culture and supportive teams. (ref:hirist.tech)

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (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). ✔ 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." 📅 Deadline: 16th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Title - AI Engineer Type - Contract Location - Remote Roles and Responsibilities: - Design and implement AI solutions using LLMs for tasks such as summarization, question answering, and document understanding. - Build and optimize retrieval-augmented generation (RAG) pipelines by combining OCR and LLMs for unstructured document processing. - Integrate LLMs and OCR tools, such as Azure Document Intelligence and Tesseract, into scalable applications. - Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. - Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. - Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. - Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. - Stay updated on the latest developments in foundation models, Agentic AI, and OCR technologies. Qualifications : - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of experience in AI/ML, with a focus on LLMs and prompt engineering. - Proven ability to work independently, demonstrating initiative, ownership, and accountability across all phases of solution development. - Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams. Tools and Technologies: - Hands-on experience with LLM frameworks such as LangChain and Semantic Kernel. - Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). - Proficiency in Python, with experience integrating APIs, function calling, regular expressions, and handling LLM outputs. - Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. - Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). - Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. - Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. - Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 16th July 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Roles & Responsibilities : Gather financial data from internal and external sources (e.g., accounting systems, ERP platforms, market databases). Ensure data accuracy, consistency, and completeness. Clean and preprocess raw data for analysis Interface between Automation team and operations with creation of BOT & Power BI dashboards Work closely with business operations and IT teams Co-ordinate for continuous improvement with Cross functional teams Qualifications Educational qualification: Graduation in Commerce or Science with knowledge of Accounts payable Experience : 8 to 10 years of experience in Accounts payable and Automation Mandatory/requires Skills : Project Management Skills SAP knowledge (tables/Structure) Database knowledge Power BI dashboard creating and maintanence Bosch Redlake Preferred Skills :

Job Title: Machine Learning Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship About Optimspace.in Optimspace.in provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities Design, test, and optimize machine learning models Analyze and preprocess datasets Develop algorithms and predictive models Use tools like TensorFlow, PyTorch, and Scikit-learn Document findings and create reports Requirements Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) Knowledge of machine learning concepts and algorithms Proficiency in Python or R (preferred) Strong analytical and teamwork skills Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on machine learning experience Internship Certificate & Letter of Recommendation Real-world project contributions for your portfolio How to Apply 📩 Submit your application with "Machine Learning Intern Application" as the subject. 📅 Deadline: 15th July 2025 Note: Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

About Aezion Aezion is one of the premiere custom software providers in United States. and we live by the adage that our word is our bond. Our Promise is to get it right or make it right. We accomplish this by investing the effort to exceed client expectations from start to finish - architecting, designing, developing, hosting, deploying, maintaining, and supporting our clients throughout the project lifecycle. We believe that work is ministry – an expression of our values. Our goal is to honor our commitments to clients and the life energies of Aezion employees through results that transform clients into lifelong partners. Position Description Job Title: AI/ML Architct Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras GenAI Developer Job Description We are seeking a talented Generative AI Developer to join our innovative team. The ideal candidate will have a strong background in AI and machine learning, with a focus on generative models and large language models (LLMs). You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Advanced Programming Knowledge: Mastery in programming languages like Python and expertise in AI-specific libraries such as TensorFlow, PyTorch, and Keras. Proficiency in implementing and manipulating complex algorithms essential for generative AI development. Generative Models Expertise: In-depth experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to design, train, and optimize these models for generating high-quality and creative content. Natural Language Processing (NLP): Strong background in text generation techniques, including text parsing, sentiment analysis, and the use of transformers like GPT models for advanced text-based applications. Vector Databases: Hands-on experience with vector databases such as Pinecone, PgVector, and Qdrant for efficient retrieval and similarity search. Embedding, Retrieval-Augmented Generation (RAG), and Indexing: Expertise in creating embeddings, implementing RAG workflows, and indexing vector databases to improve search, retrieval, and contextual generation. LangChain and LangGraph: Expertise in building advanced workflows and applications using LangChain for LLM-based solutions and LangGraph for structured workflows with conditional logic. FastAPI and Microservices: Proficiency in building scalable, RESTful FastAPI applications and microservices architectures for deploying AI solutions. LangSmith and LangFuse: Experience using LangSmith for debugging and evaluation of LLM chains, and LangFuse for logging and analytics in LLM applications. Cloud Computing and Deployment: Expertise in deploying and managing AI applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Familiarity with Docker for containerization and Kubernetes for scaling and orchestration.

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with 157 years of history that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. We’re working hard to support their wellness and health management goals, too. That way, they can enjoy what matters most to them. And that’s anything from running a marathon to helping their grandchildren learn to ride a bike. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds With innovative technology, a strong distribution network and long-standing relationships with some of the world’s largest employers, we are today providing financial security to millions of people globally. Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) With 32 years of operations in the Philippines and 17 years in India, Sun Life Global Solutions, (formerly Asia Service Centres), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. Drawing on our collaborative and inclusive culture, we are reckoned as a ‘Great Place to Work’, ‘Top 100 Best Places to Work for Women’ and stand among the ‘Top 11 Global Business Services Companies’ across India and the Philippines. The technology function at Sun Life Global Solutions is geared towards growing our existing business, deepening our client understanding, managing new age technology systems, and demonstrating thought leadership. We are committed to building greater domain expertise and engineering ability, delivering end to end solutions for our clients, and taking a lead in intelligent automation. Tech services at Sun Life Global Solutions have evolved in areas such as application development and management, Support, Testing, Digital, Data Engineering and Analytics, Infrastructure Services and Project Management. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! What will you do? The role involves creating innovative solutions, guiding development teams, ensuring technical excellence, and driving architectural decisions aligned with company policies. The Solution Designer/Tech Lead will be a key technical advisor, collaborating with onshore teams and leadership to deliver high-impact Data and AI/ML projects. Our engineering career framework helps our engineers to understand the scope, collaborative reach, and levers for impact at every job role and defines the key behaviors and deliverables specific to one’s role and team and plan their career with Sun Life. Key Responsibilities: Design and architect Generative AI solutions leveraging AWS services such as Bedrock, S3, PG Vector, Kendra, and SageMaker. Collaborate closely with developers to implement solutions, providing technical guidance and support throughout the development lifecycle. Lead the resolution of complex technical issues and challenges in AI/ML projects. Conduct thorough solution reviews and ensure adherence to best practices and company standards. Navigate governance processes and obtain necessary approvals for initiatives. Make critical architectural and design decisions aligned with organizational policies and industry best practices. Liaise with onshore technical teams, presenting solutions and providing expert analysis on proposed approaches. Conduct technical sessions and knowledge-sharing workshops on AI/ML technologies and AWS services. Evaluate and integrate emerging technologies and frameworks like LangChain into solution designs. Develop and maintain technical documentation, including architecture diagrams and design specifications. Mentor junior team members and foster a culture of innovation and continuous learning. Collaborate with data scientists and analysts to ensure optimal use of data in AI/ML solutions. Coordinate with clients, data users, and key stakeholders to achieve long-term objectives for data architecture. Stay updated on the latest trends and advancements in AI/ML and cloud and data technologies. Key Experience: Extensive experience (12-15 years) in software development and architecture, with a focus on AI/ML solutions. Deep understanding of AWS services, particularly those related to AI/ML (Bedrock, SageMaker, Kendra, etc.). Proven track record in designing and implementing data, analytics, reporting and/or AI/ML solutions. Strong knowledge of data structures, algorithms, and software design patterns. Expertise in data management, analytics, and reporting tools. Proficiency in at least one programming language commonly used in AI/ML (e.g., Python, Java, Scala). Familiarity with DevOps practices and CI/CD pipelines. Understanding of AI ethics, bias mitigation, and responsible AI principles. Basic understanding of data pipelines and ETL processes, with the ability to design and implement efficient data flows for AI/ML models. Experience in working with diverse data types (structured, unstructured, and semi-structured) and ability to preprocess and transform data for use in generative AI applications. Technical Credentials: AWS, AI/ML Primary Location: Gurgaon Schedule: 12:00 PM to 8:30 PM Job Category: Advanced Analytics Posting End Date: 21/07/2025

Job Title: AI/ML Engineer Location: Coimbatore, India Experience: 1 to 3 years Employment Type: Full-time Job Summary: We are seeking a motivated and skilled AI/ML Engineer with 1–3 years of hands-on experience to join our team in Coimbatore. The ideal candidate will work on building and deploying AI/ML models that solve real-world problems across industries. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms for real-world applications Preprocess and analyze structured and unstructured data Build scalable data pipelines and automate workflows Collaborate with data scientists, software engineers, and product teams to integrate ML solutions Monitor and optimize model performance and accuracy over time Stay current with the latest research and advancements in AI/ML Required Skills: Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch Experience with data manipulation tools (Pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, GCP) is a plus Experience with version control (Git) and agile development practices Strong analytical and problem-solving skills

At Takeda, we are guided by our purpose of creating better health for people and a brighter future for the world. Every corporate function plays a role in making sure we — as a Takeda team — can discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. People join Takeda because they share in our purpose. And they stay because we’re committed to an inclusive, safe and empowering work environment that offers exceptional experiences and opportunities for everyone to pursue their own ambitions. Job ID R0157715 Date posted 07/14/2025 Location Bengaluru, Karnataka I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Noticeand Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights and support strategic initiatives. Responsibilities Data Collection and Analysis: Gather and extract data from various sources, ensuring data integrity, accuracy, and completeness. Clean, transform, and preprocess data to prepare it for analysis. Performance Monitoring and Optimization: Monitor key performance indicators (KPIs) and track the effectiveness of business processes. Identify areas for improvement, potential bottlenecks, and opportunities for optimization. Collaborate with cross-functional teams to implement data- driven strategies and measure their impact. Ad-Hoc Analysis: Conduct ad-hoc analysis to answer specific business questions or address immediate needs. Analyze data from different perspectives to provide insights into specific areas of interest or emerging trends. Proactively identify new data sources or approaches to enhance analysis capabilities. Data Quality Assurance: Ensure data accuracy, consistency, and adherence to predefined quality standards. Implement data validation and verification procedures to identify and resolve data quality issues. Work closely with data engineers and stakeholders to improve data collection processes and data governance practices. Collaborative Projects: Collaborate with cross-functional teams, to support data-driven initiatives and projects. Provide analytical support, guidance, and expertise throughout the project lifecycle. Communicate effectively with stakeholders to understand their requirements and deliver actionable insights. Skills and Qualifications Bachelor’s Degree with 2+ years IT experience 1+ years relevant progressive experiences Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar languages. Experience with data visualization tools such as Tableau, Power BI, or similar software. Strong analytical thinking and problem-solving skills. Familiarity with statistical concepts and techniques. Excellent attention to detail and ability to work with large datasets. Strong communication and presentation skills, with the ability to translate complex findings into clear and actionable insights. Ability to work independently and collaborate effectively in a team environment. Strong business acumen and ability to understand and address business requirements through data analysis WHAT TAKEDA ICC INDIA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are: Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Employee Assistance Program 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs No Meeting Days Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. #Li-Hybrid Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time